This document discusses the rise of cognitive computing and its ability to fuel the cognitive economy. It notes that three forces are fueling disruption: the capabilities of cognitive computing, the ability to build businesses through code and APIs, and the proliferation of different types of data. Cognitive systems like IBM's Watson have abilities like reasoning, learning, and understanding that allow them to interact with humans in new ways. Watson and other cognitive technologies are being applied across many industries and are powering applications, services, and solutions for businesses and organizations around the world. The market is validating the benefits of cognitive technologies like Watson.
This document provides an overview of applied artificial intelligence in China. It discusses China's political and economic support for AI, as well as the social and cultural factors that enable its development. It profiles some of China's top AI companies and unicorns, and provides examples of applied AI technologies in areas like autonomous vehicles, logistics, smart cities, security, and humanoids. It also compares the AI landscape in China, the US, and Germany in terms of funding, applications, and other factors. Overall, the document outlines China's significant investments and progress in developing and applying artificial intelligence.
The Mobile World Congress 2017 event highlighted several important trends in mobile and telecommunications, including the growing role of artificial intelligence. Many companies demonstrated virtual personal assistants powered by AI, and analysts predict 20% of smartphone interactions will be with AI assistants by 2019. Additional trends included an emphasis on connectivity innovations for enhanced mobile devices, applications, and the growing Internet of Things sector. While new smartphones and devices incorporated improvements like better cameras and performance, there were no major technological revolutions highlighted at the event.
Top 5 Emerging Technologies - Future Horizons 2019Mike Parsons
So what's next in emerging technology for 2019? Discover the leading technologies and how they work. Virtual Reality, Blockchain, Voice as an Interface, Augmented Reality, Autonomous Vehicles, Face Recognition, IOT, Artificial Intelligence, Sensors, Smart Cities, Edge Computing, Quantum Computing, Mixed Reality, Ethics and Privacy.
This document discusses forecasts about the development and impact of artificial intelligence presented at the Third Asia-Pacific Futurist Network conference. It identifies several key themes in AI forecasts, including sensors, robots, software, vehicles, smart cities, smart homes, work, jobs, health, manufacturing and logistics, and education. The document summarizes over 1000 forecasts reviewed, with forecasts presented on capabilities and developments in various fields through 2025, including predictions that 85% of customer interactions will be managed without humans by 2020 and that AI will reach human levels of intelligence by 2029.
Top 3 improvements that made by ai in logistics venkat k - mediumusmsystem
There’s no other way to describe it: Artificial Intelligence (AI) is revolutionizing the world of logistics. That may seem like a cliché, or hype, or buzz, but it is true.
The tech is fundamentally changing the way packages move around the world, from predictive analytics to autonomous vehicles and robotics. Here are the top five ways in which Artificial Intelligence is transforming the logistics industry as we know it:
Envision Future: Analysis of IoT Startup Asli Yazagan
IoT Startups which have at least 100 followers on angel.co and their markets in 2016.
https://graphcommons.com/graphs/8da5327d-7829-4dfe-b60b-4c0bda956b2a
IBM Showcases Artificial Intelligence Superiority With Project DabaterBernard Marr
IBM has done it again. It successfully built an artificial intelligence algorithm that can go against humans in a debate. IBM Project Debater was impressive in its first public debate and showed how it could respond and formulate a position during unscripted interactions ultimately driving progress in natural language processing.
This document provides an overview of applied artificial intelligence in China. It discusses China's political and economic support for AI, as well as the social and cultural factors that enable its development. It profiles some of China's top AI companies and unicorns, and provides examples of applied AI technologies in areas like autonomous vehicles, logistics, smart cities, security, and humanoids. It also compares the AI landscape in China, the US, and Germany in terms of funding, applications, and other factors. Overall, the document outlines China's significant investments and progress in developing and applying artificial intelligence.
The Mobile World Congress 2017 event highlighted several important trends in mobile and telecommunications, including the growing role of artificial intelligence. Many companies demonstrated virtual personal assistants powered by AI, and analysts predict 20% of smartphone interactions will be with AI assistants by 2019. Additional trends included an emphasis on connectivity innovations for enhanced mobile devices, applications, and the growing Internet of Things sector. While new smartphones and devices incorporated improvements like better cameras and performance, there were no major technological revolutions highlighted at the event.
Top 5 Emerging Technologies - Future Horizons 2019Mike Parsons
So what's next in emerging technology for 2019? Discover the leading technologies and how they work. Virtual Reality, Blockchain, Voice as an Interface, Augmented Reality, Autonomous Vehicles, Face Recognition, IOT, Artificial Intelligence, Sensors, Smart Cities, Edge Computing, Quantum Computing, Mixed Reality, Ethics and Privacy.
This document discusses forecasts about the development and impact of artificial intelligence presented at the Third Asia-Pacific Futurist Network conference. It identifies several key themes in AI forecasts, including sensors, robots, software, vehicles, smart cities, smart homes, work, jobs, health, manufacturing and logistics, and education. The document summarizes over 1000 forecasts reviewed, with forecasts presented on capabilities and developments in various fields through 2025, including predictions that 85% of customer interactions will be managed without humans by 2020 and that AI will reach human levels of intelligence by 2029.
Top 3 improvements that made by ai in logistics venkat k - mediumusmsystem
There’s no other way to describe it: Artificial Intelligence (AI) is revolutionizing the world of logistics. That may seem like a cliché, or hype, or buzz, but it is true.
The tech is fundamentally changing the way packages move around the world, from predictive analytics to autonomous vehicles and robotics. Here are the top five ways in which Artificial Intelligence is transforming the logistics industry as we know it:
Envision Future: Analysis of IoT Startup Asli Yazagan
IoT Startups which have at least 100 followers on angel.co and their markets in 2016.
https://graphcommons.com/graphs/8da5327d-7829-4dfe-b60b-4c0bda956b2a
IBM Showcases Artificial Intelligence Superiority With Project DabaterBernard Marr
IBM has done it again. It successfully built an artificial intelligence algorithm that can go against humans in a debate. IBM Project Debater was impressive in its first public debate and showed how it could respond and formulate a position during unscripted interactions ultimately driving progress in natural language processing.
This document summarizes findings from a white paper about the growth of the digital universe and opportunities from analyzing large amounts of data, especially from sensors and embedded systems known as the Internet of Things. Some key points:
1) The digital universe is growing rapidly, doubling in size every two years, and will reach 44 zettabytes by 2020, driven by more people and devices connected to the internet.
2) Data from sensors and embedded systems, which enable the Internet of Things, will grow from 2% to 10% of the digital universe by 2020, creating new opportunities for businesses.
3) Only a small fraction of the data in the digital universe is currently analyzed, but opportunities exist for companies
Managing Product Platforms: Best Practices for Creating Value and Network Eff...ProductCamp Boston
YouTube brings video creators and viewers together. KickStarter brings those seeking funding together with investors. eBay brings buyers and sellers together and facilitates transactions. Quora helps users interact to ask and answer questions. Twitter, WhatsApp, Airbnb, Uber, Wikipedia, PayPal, the list goes on…
These are examples of products that connect “those that produce something” with “those that consume something”? If your product fits this general definition, welcome to the world of Product Platforms.
Without users, there’s no value and without value, users just won’t show up. So how do you solve this problem and manage for growth?
When it comes to platforms, the technology often isn’t the reason people use it. Let’s talk about the product management of real value creation that will lead to platform success, whether you have millions of users or just starting out.
The heart of this discussion includes the use of platform metrics to manage this business model and ultimately lead product managers to drive tangible platform growth.
Artificial intelligence is increasingly being used in the telecom industry in five key ways: 1) To make data-driven decisions by analyzing large amounts of location and customer data, 2) To improve and optimize network infrastructure through self-organizing networks, 3) To enable predictive maintenance through equipment monitoring to prevent outages, 4) To provide virtual assistants and chatbots for basic customer service inquiries, and 5) To detect and respond to fraudulent activities through automated algorithms.
Internet of Things (IoT) - We Are at the Tip of An IcebergDr. Mazlan Abbas
You are likely benefitting from The Internet of Things (IoT) today, whether or not you’re familiar with the term. If your phone automatically connects to your car radio, or if you have a smartwatch counting your steps, congratulations! You have adopted one small piece of a very large IoT pie, even if you haven't adopted the name yet.
IoT may sound like a business buzzword, but in reality, it’s a real technological revolution that will impact everything we do. It's the next IT Tsunami of new possibility that is destined to change the face of technology, as we know it. IoT is the interconnectivity between things using wireless communication technology (each with their own unique identifiers) to connect objects, locations, animals, or people to the Internet, thus allowing for the direct transmission of and seamless sharing of data.
IoT represents a massive wave of technical innovation. Highly valuable companies will be built and new ecosystems will emerge from bridging the offline world with the online into one gigantic new network. Our limited understanding of the possibilities hinders our ability to see future applications for any new technology. Mainstream adoption of desktop computers and the Internet didn’t take hold until they became affordable and usable. When that occurred, fantastic and creative new innovation ensued. We are on the cusp of that tipping point with the Internet of Things.
IoT matters because it will create new industries, new companies, new jobs, and new economic growth. It will transform existing segments of our economy: retail, farming, industrial, logistics, cities, and the environment. It will turn your smartphone into the command center for the both digital and physical objects in your life. You will live and work smarter, not harder – and what we are seeing now is only the tip of the iceberg.
Rise of Applied Artificial Intelligence in IndiaManish Singhal
1) India is the fastest growing smartphone market and will have 435 million smartphones by 2019, changing workflows massively. Data is expected to grow 50 times from 2009 to 2020.
2) Applied AI will be needed to make sense of and profit from this large amount of data. The use of applied AI will determine new category leaders.
3) Three major trends are converging in India - a growing digital population, a young and tech-savvy workforce, and supportive government initiatives - making it the perfect time to invest in applied AI startups.
AI Technology Is Making Us Safer: Is That So?Pixel Crayons
Artificial intelligence is being used in many industries to improve safety and security. The global AI market is expected to grow substantially over the next decade. AI can help make transportation safer by optimizing traffic and reducing accidents. It also enhances cybersecurity by detecting threats and protecting data. AI helps police predict crime patterns and when and where crimes may occur. The military is using AI to develop autonomous vehicles and weapons that can complete tasks safely. While AI has benefits, some are concerned about its rising influence and how safely it can perform complex tasks.
The Amazing Ways Telecom Companies Use Artificial Intelligence And Machine Le...Bernard Marr
Telecom companies are increasingly using artificial intelligence and machine learning in many aspects of their business. They use these technologies to improve customer service through virtual assistants and chatbots, enable predictive maintenance to prevent network outages, and perform fraud detection and predictive analytics on large amounts of customer data to make better business decisions. Telecoms are among the industries that have most embraced and benefited from artificial intelligence and machine learning.
Dynamic IoT data, protocol, and middleware interoperability with resource sli...Hong-Linh Truong
The document discusses interoperability issues in IoT cloud systems. It identifies three types of interoperability challenges: 1) among devices and platforms within an IoT system, 2) in accessing data from multiple IoT platforms, and 3) across IoT and cloud sides involving multiple platforms. Common issues include differences in data formats, protocols, APIs, and semantics. Existing efforts aim to solve specific aspects through standards, bridges and centralized data hubs, but interoperability remains complex given the diversity of IoT deployments. A more dynamic approach using virtualized microservices is needed to improve extensibility and runtime reconfiguration for interoperability.
'Internet of Things' is on its way to become 'Internet of Everything'
This Internet of Things (IoT) infograph from eInfochips will inform you about the growth, future opportunities and the technological involvement in this segment.
DRIVING THE FUTURE: HOW AUTONOMOUS VEHICLES WILL CHANGE INDUSTRIES AND STRATEGYNauman Hussaini
The document discusses how autonomous vehicles will disrupt and change various industries including healthcare. Autonomous vehicles could increase safety by reducing accidents from human error. They may also enable health monitoring of passengers and more efficient emergency response. This technology creates new demand and helps revamp industries like healthcare by providing mobility options for those with disabilities or seniors to access medical care. Autonomous vehicles represent a blue ocean strategy by entering new, uncontested markets and a disruptive strategy by appealing to new customers and creating new value.
Some Global Mega-Trends and Implications for the ICT Sector. ESCWA Arab ICT 9...Ilyas Azzioui
The presentation discusses The global Trends "Mega Trends" as global, sustained and macroeconomic forces of development that impact business, economy, society, cultures and personal lives, thereby defining our future world and its increasing pace of change. These Mega-Trends have some implications for the ICT sectors and offers many opportunities for the development of ICT businesses in the future
This document discusses how AI can be used for good to help address sustainability goals in developing economies like India. It suggests that AI-enabled vertical solutions can help bridge massive demand and supply gaps by scaling scarce human resources. Specifically, it proposes that AI could help (1) democratize access to resources and information, (2) move semi-skilled workers up the value chain, (3) predict demand and efficiently map resources, and (4) help India serve as a model for innovating AI solutions that can benefit the next 6 billion people. The document argues India is uniquely positioned as a diverse test bed to develop AI that can cater to diverse populations beyond just the first billion.
The Amazing Ways Alibaba Uses Artificial Intelligence And Machine LearningBernard Marr
Alibaba is already one of China's most influential tech companies, but it is very focused on becoming China's artificial intelligence leader as well. From altering retail to developing smart cities and nearly every industry and application in between, Alibaba is helping China achieve its goal to become the dominant AI player in the world.
This PPT is about AI 100 Startups all over the world based on "The AI 100 -CB insights".
In this research paper, you can find each capital, scale, general info(ref: CB Insights), and features.
As Artificial Intelligence (AI) proliferates, a divide is emerging. Between nations and within industries, winners and losers are emerging in the race for adoption, the war for talent and the competition for value creation.
This document provides an introduction and overview of getting started with Internet of Things (IoT). It discusses why IoT is important, with Gartner projecting $1.9 trillion in economic value from 26 billion connected devices by 2020. It also lists common IoT hardware components like boards and sensors, software languages and platforms used, and highlights some example IoT platforms like Amazon Web Services, Microsoft Azure, and IBM Watson.
The document discusses the emerging concept of the "Internet of Things", where physical objects are embedded with sensors and connected via networks. This allows the objects to generate and share vast amounts of data. The document outlines six applications of this emerging technology: 1) Tracking behavior, 2) Enhanced situational awareness, 3) Sensor-driven decision analytics, 4) Process optimization, 5) Optimized resource consumption, and 6) Complex autonomous systems. While promising, challenges around business models, privacy, security, and technology must still be addressed before widespread adoption.
This keynote presentation discusses how the rise of the Internet of Things (IoT) is changing the nature of certain products by enabling them to build large ecosystems and complements that elevate them from the mundane to the strategic. This has important implication for energy and energy efficiency given broader forces that are reshaping the energy landscape, namely the rise of denser networks (physical, grids, pipelines, fiber, etc.), growth in digital information and the opportunity for new forms and power of analytics and the shift to platform business models that harness network effects by building large ecosystems and incentivizing complements that increase the value of the platforms. Linked to this is the rise of the API Economy, which is creating a new ways to exchange valuable information. In short, a new “energy data layer” is emerging with powerful implications for the future energy intelligence, productivity and efficiency.
This document summarizes findings from a white paper about the growth of the digital universe and opportunities from analyzing large amounts of data, especially from sensors and embedded systems known as the Internet of Things. Some key points:
1) The digital universe is growing rapidly, doubling in size every two years, and will reach 44 zettabytes by 2020, driven by more people and devices connected to the internet.
2) Data from sensors and embedded systems, which enable the Internet of Things, will grow from 2% to 10% of the digital universe by 2020, creating new opportunities for businesses.
3) Only a small fraction of the data in the digital universe is currently analyzed, but opportunities exist for companies
Managing Product Platforms: Best Practices for Creating Value and Network Eff...ProductCamp Boston
YouTube brings video creators and viewers together. KickStarter brings those seeking funding together with investors. eBay brings buyers and sellers together and facilitates transactions. Quora helps users interact to ask and answer questions. Twitter, WhatsApp, Airbnb, Uber, Wikipedia, PayPal, the list goes on…
These are examples of products that connect “those that produce something” with “those that consume something”? If your product fits this general definition, welcome to the world of Product Platforms.
Without users, there’s no value and without value, users just won’t show up. So how do you solve this problem and manage for growth?
When it comes to platforms, the technology often isn’t the reason people use it. Let’s talk about the product management of real value creation that will lead to platform success, whether you have millions of users or just starting out.
The heart of this discussion includes the use of platform metrics to manage this business model and ultimately lead product managers to drive tangible platform growth.
Artificial intelligence is increasingly being used in the telecom industry in five key ways: 1) To make data-driven decisions by analyzing large amounts of location and customer data, 2) To improve and optimize network infrastructure through self-organizing networks, 3) To enable predictive maintenance through equipment monitoring to prevent outages, 4) To provide virtual assistants and chatbots for basic customer service inquiries, and 5) To detect and respond to fraudulent activities through automated algorithms.
Internet of Things (IoT) - We Are at the Tip of An IcebergDr. Mazlan Abbas
You are likely benefitting from The Internet of Things (IoT) today, whether or not you’re familiar with the term. If your phone automatically connects to your car radio, or if you have a smartwatch counting your steps, congratulations! You have adopted one small piece of a very large IoT pie, even if you haven't adopted the name yet.
IoT may sound like a business buzzword, but in reality, it’s a real technological revolution that will impact everything we do. It's the next IT Tsunami of new possibility that is destined to change the face of technology, as we know it. IoT is the interconnectivity between things using wireless communication technology (each with their own unique identifiers) to connect objects, locations, animals, or people to the Internet, thus allowing for the direct transmission of and seamless sharing of data.
IoT represents a massive wave of technical innovation. Highly valuable companies will be built and new ecosystems will emerge from bridging the offline world with the online into one gigantic new network. Our limited understanding of the possibilities hinders our ability to see future applications for any new technology. Mainstream adoption of desktop computers and the Internet didn’t take hold until they became affordable and usable. When that occurred, fantastic and creative new innovation ensued. We are on the cusp of that tipping point with the Internet of Things.
IoT matters because it will create new industries, new companies, new jobs, and new economic growth. It will transform existing segments of our economy: retail, farming, industrial, logistics, cities, and the environment. It will turn your smartphone into the command center for the both digital and physical objects in your life. You will live and work smarter, not harder – and what we are seeing now is only the tip of the iceberg.
Rise of Applied Artificial Intelligence in IndiaManish Singhal
1) India is the fastest growing smartphone market and will have 435 million smartphones by 2019, changing workflows massively. Data is expected to grow 50 times from 2009 to 2020.
2) Applied AI will be needed to make sense of and profit from this large amount of data. The use of applied AI will determine new category leaders.
3) Three major trends are converging in India - a growing digital population, a young and tech-savvy workforce, and supportive government initiatives - making it the perfect time to invest in applied AI startups.
AI Technology Is Making Us Safer: Is That So?Pixel Crayons
Artificial intelligence is being used in many industries to improve safety and security. The global AI market is expected to grow substantially over the next decade. AI can help make transportation safer by optimizing traffic and reducing accidents. It also enhances cybersecurity by detecting threats and protecting data. AI helps police predict crime patterns and when and where crimes may occur. The military is using AI to develop autonomous vehicles and weapons that can complete tasks safely. While AI has benefits, some are concerned about its rising influence and how safely it can perform complex tasks.
The Amazing Ways Telecom Companies Use Artificial Intelligence And Machine Le...Bernard Marr
Telecom companies are increasingly using artificial intelligence and machine learning in many aspects of their business. They use these technologies to improve customer service through virtual assistants and chatbots, enable predictive maintenance to prevent network outages, and perform fraud detection and predictive analytics on large amounts of customer data to make better business decisions. Telecoms are among the industries that have most embraced and benefited from artificial intelligence and machine learning.
Dynamic IoT data, protocol, and middleware interoperability with resource sli...Hong-Linh Truong
The document discusses interoperability issues in IoT cloud systems. It identifies three types of interoperability challenges: 1) among devices and platforms within an IoT system, 2) in accessing data from multiple IoT platforms, and 3) across IoT and cloud sides involving multiple platforms. Common issues include differences in data formats, protocols, APIs, and semantics. Existing efforts aim to solve specific aspects through standards, bridges and centralized data hubs, but interoperability remains complex given the diversity of IoT deployments. A more dynamic approach using virtualized microservices is needed to improve extensibility and runtime reconfiguration for interoperability.
'Internet of Things' is on its way to become 'Internet of Everything'
This Internet of Things (IoT) infograph from eInfochips will inform you about the growth, future opportunities and the technological involvement in this segment.
DRIVING THE FUTURE: HOW AUTONOMOUS VEHICLES WILL CHANGE INDUSTRIES AND STRATEGYNauman Hussaini
The document discusses how autonomous vehicles will disrupt and change various industries including healthcare. Autonomous vehicles could increase safety by reducing accidents from human error. They may also enable health monitoring of passengers and more efficient emergency response. This technology creates new demand and helps revamp industries like healthcare by providing mobility options for those with disabilities or seniors to access medical care. Autonomous vehicles represent a blue ocean strategy by entering new, uncontested markets and a disruptive strategy by appealing to new customers and creating new value.
Some Global Mega-Trends and Implications for the ICT Sector. ESCWA Arab ICT 9...Ilyas Azzioui
The presentation discusses The global Trends "Mega Trends" as global, sustained and macroeconomic forces of development that impact business, economy, society, cultures and personal lives, thereby defining our future world and its increasing pace of change. These Mega-Trends have some implications for the ICT sectors and offers many opportunities for the development of ICT businesses in the future
This document discusses how AI can be used for good to help address sustainability goals in developing economies like India. It suggests that AI-enabled vertical solutions can help bridge massive demand and supply gaps by scaling scarce human resources. Specifically, it proposes that AI could help (1) democratize access to resources and information, (2) move semi-skilled workers up the value chain, (3) predict demand and efficiently map resources, and (4) help India serve as a model for innovating AI solutions that can benefit the next 6 billion people. The document argues India is uniquely positioned as a diverse test bed to develop AI that can cater to diverse populations beyond just the first billion.
The Amazing Ways Alibaba Uses Artificial Intelligence And Machine LearningBernard Marr
Alibaba is already one of China's most influential tech companies, but it is very focused on becoming China's artificial intelligence leader as well. From altering retail to developing smart cities and nearly every industry and application in between, Alibaba is helping China achieve its goal to become the dominant AI player in the world.
This PPT is about AI 100 Startups all over the world based on "The AI 100 -CB insights".
In this research paper, you can find each capital, scale, general info(ref: CB Insights), and features.
As Artificial Intelligence (AI) proliferates, a divide is emerging. Between nations and within industries, winners and losers are emerging in the race for adoption, the war for talent and the competition for value creation.
This document provides an introduction and overview of getting started with Internet of Things (IoT). It discusses why IoT is important, with Gartner projecting $1.9 trillion in economic value from 26 billion connected devices by 2020. It also lists common IoT hardware components like boards and sensors, software languages and platforms used, and highlights some example IoT platforms like Amazon Web Services, Microsoft Azure, and IBM Watson.
The document discusses the emerging concept of the "Internet of Things", where physical objects are embedded with sensors and connected via networks. This allows the objects to generate and share vast amounts of data. The document outlines six applications of this emerging technology: 1) Tracking behavior, 2) Enhanced situational awareness, 3) Sensor-driven decision analytics, 4) Process optimization, 5) Optimized resource consumption, and 6) Complex autonomous systems. While promising, challenges around business models, privacy, security, and technology must still be addressed before widespread adoption.
This keynote presentation discusses how the rise of the Internet of Things (IoT) is changing the nature of certain products by enabling them to build large ecosystems and complements that elevate them from the mundane to the strategic. This has important implication for energy and energy efficiency given broader forces that are reshaping the energy landscape, namely the rise of denser networks (physical, grids, pipelines, fiber, etc.), growth in digital information and the opportunity for new forms and power of analytics and the shift to platform business models that harness network effects by building large ecosystems and incentivizing complements that increase the value of the platforms. Linked to this is the rise of the API Economy, which is creating a new ways to exchange valuable information. In short, a new “energy data layer” is emerging with powerful implications for the future energy intelligence, productivity and efficiency.
This document introduces IBM's Watson and cognitive computing capabilities. It discusses how Watson uses technologies like natural language processing, machine learning, and deep learning to understand language, learn from interactions, and provide answers to questions. The document outlines IBM's vision of a "cognitive era" where systems can automate complex tasks by understanding, learning, and reasoning like humans. It promotes Watson and IBM's cognitive APIs and services as tools to help organizations gain insights from data and transform their business operations and customer experiences for the cognitive era.
Learning Objective: Discover the upcoming trends of information technology
This seminar looks at technology trends that should be on your radar. As a technology professional, staying on top of trends is crucial. Join us as our expert panelists discuss the upcoming trends and game-changing technologies of the future.
At the end of this seminar, participants will:
a. Learn how to identify the areas where technology changes are likely.
b. Identify resources to use to keep abreast of technology changes in their industry.
c. Learn how to analyze trends for opportunities to grow their careers.
The document discusses the 60th anniversary of CCITT/ITU-T and artificial intelligence. It notes that 10 mobile/cloud companies achieving $4 trillion in market cap and that China's AI market is $337 billion. It discusses how AI is driving unprecedented changes through hyper time compression of innovations and extreme convergence across multiple domains. AI is also helping to track progress on the UN's Sustainable Development Goals. The ITU is partnering with IBM Watson on AI initiatives and standards are being discussed. Overall, the document outlines how AI is massively impacting the economy, society and driving disruption through new technologies.
Executive Omnichannel - SDA Bocconi - September 28 2017Roberto Villa
IBM's strategy involves using artificial intelligence technologies like Watson to help drive digital transformation. IBM Research develops technologies like Watson, which acts as an AI platform that can be applied across industries. IBM aims to augment human capabilities by developing cognitive systems that combine large-scale data processing with human judgment. These systems are being applied in healthcare to help doctors analyze medical images efficiently and in other industries to help transform how business is done.
IBM Watson & Cognitive Computing - Tech In Asia 2016Nugroho Gito
1. The document provides an overview of cognitive computing, including a brief history of artificial intelligence and significant events that have shaped the evolution of cognitive computing.
2. It discusses what cognitive computing is, how it differs from traditional analytics by addressing ambiguous problems and interacting with humans in a natural way.
3. The document outlines how cognitive computing adoption has increased, providing examples of IBM Watson's applications in various industries and technologies like the Watson Developer Cloud that allow developers to access cognitive capabilities through APIs and tools.
What is Artificial Intelligence?
Where is the value potential of AI?
Major Acquisitions in AI
AI business cases
AI (& BI) Ecosystem
AI challenges
Networking/expertise
Conclusion
The document discusses cognitive computing and analytics. It defines cognitive computing as combining artificial intelligence, machine learning, and an approach that attempts to mimic the human brain. It also discusses how cognitive systems will transform businesses through services based on cognitive computing. Finally, it provides an overview of IBM's cognitive computing platform Watson and how it can be used for customer interaction analytics, exploring both structured and unstructured data through visualization and predictive models.
Artificial intelligence (AI) is driven by advances in computing power, data storage, and algorithms. It will be more disruptive than previous technological shifts. AI techniques like machine learning, deep learning, and natural language processing are making platforms and systems smart enough to learn from data and interactions to anticipate needs and automate tasks. Consumers are already using AI without realizing it through apps from Google, Facebook, Amazon, and self-driving cars. This raises expectations for smart, seamless customer experiences from businesses. The e-book will explore how companies can take advantage of AI for sales, customer service, marketing, and other business functions.
Artificial intelligence (AI) is becoming a reality due to advances in three key areas: data models, data availability, and processing power. AI is present in many consumer apps through machine learning techniques. For businesses, AI can help address challenges around data silos, lack of data expertise, infrastructure constraints, and lack of context for AI. By connecting all customer data into a single view and using AI tools that anticipate needs, businesses can close the gap between intelligence and customer experience.
Addis abeb university ..Artificial intelligence .pptxethiouniverse
The document defines artificial intelligence as the science and engineering of making intelligent machines, especially intelligent computer programs. It discusses that AI is the creation of computer programs that can learn to think and function on their own. The document then provides examples of technologies that use AI, such as machine learning, robotics, and neural networks. It describes the different types of AI as artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. The document also outlines the history of AI and discusses its applications in various domains like agriculture, healthcare, business, and education.
Tijdens de vierde sessie van de vierdelige reeks Master Minds on Data Science hield Eric van Tol een presentatie over businesscases en verdienmodellen.
AI & Innovation, Emerging trends & Future directions in AI.pptxssuser9437e3
Artificial intelligence is being applied in many areas of daily life such as smartphones, social media, music/media streaming, video games, smart homes, security/surveillance, keyboards/apps, healthcare, e-commerce, email, vehicles, drones, banking/finance, online ads, and navigation/travel. Some key applications include personal assistants, recommendations, automation, detection/diagnosis, fraud prevention, translations, and customized experiences based on individual users. AI is already widely used and its applications continue to expand across more industries and services.
- Roberto Villa gave a presentation to MBA students from Utah Valley University on May 10th, 2018 about the "5 Whys" of the cognitive era and IBM's transformation into a cognitive solutions and cloud platform company.
- He discussed why AI and digital transformation are important now due to the growth of data in volume and variety, and how cognitive systems like IBM Watson can understand, reason, learn and interact with humans.
- Villa also covered how technology can augment human capabilities in fields like healthcare, the importance of establishing policies and principles for AI, and IBM's focus on helping people acquire skills for the cognitive economy while creating jobs.
IoT in the combination of ML can help you automate your business and optimize the processes. Let's explore the future possibilities of combining ML with IoT.
Cloud, Big Data, IoT, ML - together to build a real world use case!Krishna-Kumar
Open Source India Conference 2017 - Cloud Big Data IoT ML together to build a real world use case / solution. Comparative study of various software stacks included.
Artificial Intelligence And The Legal ProfessionShannon Green
This document summarizes the key developments and implications of artificial intelligence (AI) for the legal profession. It discusses how:
1) AI is being used in legal document analysis, generating legal documents, and advising lawyers by answering questions and monitoring new case law.
2) These applications could impact the number and nature of legal jobs by reducing roles for lower-skilled work and changing the skills required of lawyers, with implications for legal education.
3) Firms may see changes to their structures and business models to adapt to lower costs from AI and changing fee structures. Overall, the document outlines both opportunities and challenges that AI poses for the legal field.
Entersoft Web API, an Open window to a connected eco- systemtechnology_forum
The document discusses Entersoft's Web API program, which provides APIs across channels to drive innovation, user acquisition, and act as a marketing channel. The APIs are REST based, support web and mobile technologies like AngularJS, and are built on .NET and Xamarin platforms to be secure, programmable, and scalable through load balancing and multi-tenancy. Approval is requested to expand the API program.
Νέες τεχνολογικές τάσεις και επιχειρηματικές ευκαιρίεςtechnology_forum
This document discusses new technology trends and business opportunities. It begins by providing context on the global economy and shift to knowledge workers. Then it outlines 10 breakthrough technologies towards a vision of pervasive integration, including cloud computing, standards, ubiquitous connectivity, and natural user interfaces. Specific business opportunities are presented for technologies like the Internet of Things, machine learning, blockchain, and bots. The document promotes Microsoft's Azure cloud platform and related services for exploring these new technologies and opportunities.
Digital Transformation How Digital Disruption is redefining the industries an...technology_forum
1) Digital transformation is being driven by technologies like the Internet of Everything, which connects people, processes, data and things.
2) Most companies will attempt digital transformation initiatives by 2020 but only 30% will be successful due to lack of skills and expertise.
3) Digital disruption is pulling industries towards a digital center and normal, with technology, media and retail being the most vulnerable to disruption.
4) Next generation cyber threat defense can provide enhanced security while simplifying operations and reducing costs through improved network visibility, automated tuning, and advanced malware protection.
DataScouting is a software R&D company focused on data analytics and media intelligence. It provides cloud-based software solutions for print and broadcast media monitoring, as well as digitization services for cultural heritage organizations. The company's expertise includes web applications, distributed computing, text and video analytics, and multimedia knowledge discovery.
Mobile Internet: Καταλύτης για την οικονομική ανάπτυξηtechnology_forum
This document discusses the growing impact and importance of mobile technology. It notes that by 2016, the number of mobile devices will exceed the world's population. The mobile market is projected to exceed $1.3 trillion by 2016 and have an economic impact of over $10 trillion annually by 2025. It also discusses the emergence of new ecosystems and industries around ubiquitous computing, mobile internet, software as a service, and networks. The document promotes HAMAC, a Greek mobile technology cluster, and its role in growing the mobile industry ecosystem in Greece and enhancing innovation and entrepreneurship.
Prisma Electronics SA is an electronics company established in 1991 in Alexandroupolis, Greece that focuses on electronics assembly, R&D projects, and ICT. It has over 60 employees, many with higher education degrees, and invests over 20% of annual revenues in R&D on projects including for CERN, ESA, Airbus, and in hazardous environments. Through cooperation with universities and research centers, Prisma aims to develop innovative products and services to compete globally while serving as a technology hub for its local area.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
1. Fueling the Cognitive Economy
Nikos Maniatis
Manager of Enterprise and Commercial Sales, Greece & Cyprus
2. The biggest taxi company
owns no cars.
The largest accommodation company
owns no real estate.
The biggest media company
owns no content.
The largest retailer
carries no inventory.
Disruption is upon us.
3. This disruption is fueled by three forces.
The powerful capabilities and
outcomes brought on by
cognitive computing.
The ability to build
business in code with
the API economy.
The proliferation of different
types of data.
4. Oil & Gas
80,000 sensors in a facility
produce 15 petabytes of data
Public Safety
520 terabytes of data are produced
by New York City's surveillance cameras each day
Energy & Utilities
680m+ smart meters will produce
280 petabytes of data by 2017
Healthcare
The equivalent of 300 million books of health
related data is produced per human in a lifetime
5. 1,200,000
lines of code in
a smartphone
80,000
lines of code in
a pacemaker
100,000,000
lines of code in
a new car
5,000,000
lines of code in
smart appliance
More devices are creating
more information.
6. Three capabilities differentiate cognitive systems from
traditional programmed computing systems…
Reasoning
They reason. They understand
underlying ideas and concepts. They
form hypothesis. They infer and
extract concepts.
Learning
They never stop learning getting
more valuable with time. Advancing
with each new piece of information,
interaction, and outcome. They
develop “expertise”.Understanding
Cognitive systems understand
like humans do.
…. allowing them to interact with humans.
11. 11
Examples include:
Analyst reports
tweets
Wire tap transcripts
Battlefield docs
E-mails
Texts
Forensic reports
Newspapers
Blogs
Wiki
Court rulings
International crime database
Stolen vehicle data
Missing persons data
Data, information, and expertise create
the foundation.
Cognitive systems rely on collections of
data and information:
12. Retrieve and Rank
12
Entity Extraction
Sentiment Analysis
Emotion Analysis (Beta)
Keyword Extraction
Concept Tagging
Taxonomy Classification
Author Extraction
Language Detection
Text Extraction
Microformats Parsing
Feed Detection
Linked Data Support
Concept Expansion
Concept Insights
Dialog
Document Conversion
Language Translation
Natural Language Classifier
Personality insights
Relationship Extraction
Retrieve and Rank
Tone Analyzer
Emotive Speech to Text
Text to Speech
Face Detection
Image Link Extraction
Image Tagging
Text Detection
Visual Insights
Visual Recognition
AlchemyData News
Tradeoff Analytics
50 underlying technologies
…and then leverage Watson APIs
to apply cognitive capabilities.
Natural Language
Classifier
Tone Analyzer
15. "Woodside to tap into
IBM's Watson” - CIO
"IBM’s Watson Now Powers AI
For Under Armour”
- TechCrunch
"SoftBank's Pepper robot is getting an
intelligence boost from IBM's Watson"-
The Verge
"Medtronic, IBM team up on diabetes app
to predict possibly dangerous events
hours earlier."- The Washington Post
"IBM’s Watson Helped Pick
Kia’s Super Bowl ‘Influencers’”
- Wall Street Journal
"How Can I Help You? IBM's Watson
Powers Hilton's Robotic Concierge" -
Fast Company
"IBM and Apple can put
Watson's A.I. insights inside
Apple Watch"- ComputerWorld
"Thomson Reuters to deploy
IBM Watson technology”
- InfoTechLead
"IBM's Watson Lands A Job With
KPMG.” -InformationWeek
"The North Face Uses IBM's
Watson to Make Online
Shopping Smarter" -The Street
Watson at work in the world.
16. 16
The market is validating the benefits of
cognitive.
“IBM Crafts a Role for Artificial
Intelligence in Medicine.”
“IBM Watson represents a bold
technological and visionary step”
“What is distinctive about IBM is the
breadth of its effort to create Watson tools
… for a wide range of developers.”
‘You can't do this without Watson. -Former Sun
CEO Scott McNealy. His startup, Wayin, uses
Watson to trawl and drag photos.
“The worldwide cognitive software platforms
market will grow to $30 billion by 2018, at a
CAGR”
IDC: Worldwide Cognitive Software Platforms Forecast, 2015-2019: The
Emergence of a New Market (#258781, September 2015, David
Schubmehl)
“[Watson] is specifically designed to support
the development of a broad range of
enterprise solutions.”
“No doubt, Watson has the means to
radically change the industry. “
IDC: IBM’s Go-to-Market Transformation – Deeper, Wider, Newer
(#AP257527, April 2015, Chris Zhang, Sabharinath Balasubramanian, Mayur
Sahni)
“IBM’s [Watson] can help banks with
complex financial operations and attack
important health care problems.”
“…it’s not just AI algorithms themselves that
have improved, but the ability to deliver them”
What I’d like to discuss today is the following:
(1) What’s going on in the world and your industry.
(2) How cognitive technologies like Watson can be used as a source of competitive advantage today.
(3) How you can get started.
Even five years ago, I don’t think any of us could of possibly imagined the following…that:
The worlds largest taxi company owns no vehicles
The worlds largest accommodation company owns no real estate
The worlds largest Retailer carries no inventory, and the
The world’s largest Media company creates no content!
The world is being disrupted by the sheer amount of data that is available and the potential to harness it beyond traditional analytics. Today, only 15% of organizations have the capability to leverage data and advanced analytics across their organization. (HBR Insight Economy Study).
This data that needs to be harnessed. This data is our ticket to change.
The greatest value comes from putting these capabilities together in the context of an industry or profession. These three forces are powerful, and at the heart of them are business innovation. A huge amount of potential lies ahead for leaders everywhere (from CEOs to Heads of State) who tell us that business innovation is a top priority.
Today, from Oil & Gas to Healthcare industries using data to transform their businesses can know with greater precision what their customers will want, where traffic will form, how disease will progress.
Yet 80% of data produced—including everything humanity encodes in language, from textbooks to conversation, plus all that is captured in sight, sound, motion—is invisible to traditional computers and, therefore, of limited use to those using them.
Where do you see it in your industry?
The world is being reinvented with code.
With the common adoption of more devices, there is now more information for us to harness– if we know how to understand and use it.
This code is connecting pipelines of data and integrating APIs- using the plethora of data now available.
This is the core of the API economy—and every business can take advantage of it.
Enter Cognitive….solutions that understand, reason and learn, while interacting with humans. What do I mean by Understand, Reason and learn?
Understand: Two key attributes define understand. First, the ability of a system to navigate the complexities of human speech– understanding the idiosyncrasies, colloquialisms and knowing the ways we would express ourselves to one another. This is not an easy task. We say things like, “This morning I got a haircut.” This could reference the barbershop, OR a bad financial trade. The second attribute is being able to put content into context- not search and keyword– but actually bringing forward relevant, actionable content.
Reason: There are very few times where we, as humans, are presented with information that is useful WITHOUT having to infer from the data to extract what we need for our purposes. In doing so, we are reasoning with a purpose– often generating a hypothesis and then proving out the theory. This is something cognitive systems, like Watson, can do.
Learn: Cognitive systems are fundamentally different from traditional computational computers, which are hard hard coded with rules and logic, following a decision tree format. Cognitive systems get progressively smarter with each outcome, action, iteration– with each new peace of information.
Together these attributes allow cognitive systems to understand data – structured and unstructured, text-based or sensory – in context and meaning, at astonishing speeds and volumes. In fact, Watson reads 800 million pages per second.
With one client, Watson initially ingested 80 million documents and incrementally adds 30,000 additional documents every day.
These combined attributes- understand, reason, and learn- make cognitive systems great resources for humans- helping them to make decisions, discover needed information, and weigh pros, cons, risks in industries around the world.
For several decades we’ve been digitizing the world; building
networks to connect the world around us.
Social networks that created awhole new channel of information
that runs in parallel to all otherbusiness information that’s Flowing..
And with the Internet of Things, we’re connecting all of the world’s devices; applying sensors and instrumentation to all of our applications, products, operations and processes creating connected cars, satellites, supply chains, and factories.
These are the elements of a supply chain that are driving cognitive businesses—these sensors and instruments generate the data that becomes information once analytics are applied.
But we’ve reached an inflection point in which the sheer volume of
information generated is so vast; we no longer have the ability
to use it productively.
Cognitive systems change this dynamic – they present humans with the ability to extend their expertise and knowledge gleaned from that vast amount of information.
Cognitive systems, like IBM Watson, allow a partnership between man and machine.
Humans are inherently capable of a set of skills that help us learn, discover and make decisions:
We can apply common sense, morals, and reason through dilemmas; we can dream up new ideas and make generalizations when essential clues and pieces of information are missing.
But we’re restricted by the time it takes to learn, process, and absorb new information and limited by the unconscious biases we all possess that influence the decisions we make.
Cognitive systems enable us to understand the world differently and make better decisions. They help you:
Enable new kinds of engagement
Create better products and services
Improve your processes and operations
Leverage expertise
Accelerate your ability to explore and discover as a business
Enable new business models.
What is the greatest motivator for organizations to pursue cognitive capabilities? It’s the price of not knowing:
For an oil company it’s drilling in the wrong location and having a dry well
For a wealth manager it’s making a poor investment decision based on lack of information
For a doctor it’s an incorrect diagnosis
What is the price of not knowing for you?
A Baylor Medical School retrospective study focused on a particular protein, called p53 -- a protein that inhibits tumor growth in cancer patients.
Holding constant all the research and insights that had been done prior to 2003, and testing Watson's capabilities against it, Watson was able to extract from the over 23M Medline articles it read, a 100% of the known proteins that affect p53. It compressed what had been a decade of research to a matter of weeks.
Watson was also able to identify the 7 new proteins that have been discovered since 2003 as well as 6 new phosphates that appear to impact p53, all of which are now being investigated.
But this is just one example; oil pipeline analysts are using Watson to trim years off of production timelines; KPMG is using Watson to reinvent audits – the difference between manually analyzing a small sample of hundreds of documents to using Watson to read and derive insights from thousands or millions of materials.
Today, businesses and organizations in 45 countries, across 20 industries and 8 (soon to be 9) languages (English, Japanese, French, Italian, Spanish, Brazilian, Portuguese, Arabic– and Korean announced as coming soon in May 2016) are using Watson to build cognitive abilities into their products, applications, processes, and offerings:
The 50,000 students at Deakin University in Australia using Watson as a student advisor to answer their questions as they arrive on campus;
The 1.1 million patients in Bumrungrad Hospital’s network who now have access to personalized cancer treatment recommendations with help from a system trained by the doctors at the worlds leading cancer centers;
The 5.5 million citizens in Singapore who have access to government services with help from Watson;
80,00 developers, VCs, and start-ups using Watson APIs.
More than 350 Watson ecosystem partner companies, with 100 of their applications already in market.
And countless chief marketing officers, analysts, researchers, and many more who are making connections and discoveries with apps powered by Watson.
Let’s take a closer look at a few examples:
Korean language coming soon: https://www.ibm.com/blogs/think/2016/05/10/watson-learns-korean/
So, let’s take a step back– what is making cognitive valuable for our clients and partners?
Data, information, and expertise create the foundation for working with Watson.
These organizations identified and determined the content and expertise within their organization – or externally – that informs their knowledge base.
Next, they leverage Watson APIs – cognitive building blocks - to apply Watson’s capabilities.
Watson APIs are delivered on a cloud-based, open platform, and with Watson, you can build cognition into your digital applications, products, and operations, using any one or combination of the available APIs.
For example, Natural Language Classifier API enables developers without a background in machine learning or statistical algorithms to create machine-learning, natural language interfaces for their applications.
Tone analyzer helps individuals understand the linguistic tone of their writing. This API uses linguistic analysis to detect and interpret emotional, social, and writing cues that are located within the text, and also offers rhetorical suggestions for an author to improve the intended tone.
Retrieve and rank helps users find the most relevant information for their query by using a combination of search and machine learning algorithms to detect “signals” in the data. – cognitive building blocks – to leverage capabilities including relationship extraction, personality analysis, tone analysis, concept expansion, and trade-off analytics, among others.
Each API is capable of performing a different task, and in combination, they can be adapted to solve any number of business problems or create deeply engaging experiences.
And we continue to add new and expanded cognitive capabilities to the platform.
The Watson ecosystem now represents more than 500 ecosystem partners across 17 industries and disciplines.
Over 100 of which have already introduced commercial cognitive enabled apps, products and services to the market.
These partners join the more than 80,000 developers globally that are tapping into APIs via the Watson Developer Cloud to pilot, test and deploy new business ideas.
IBM has allocated $100 million for venture investments to support this community of start-ups and businesses building cognitive applications powered by Watson, six investments have been made.
The rate at which companies are introducing cognitive computing and AI-infused apps to market has tripled in less than a year.
IDC predicts that by 2018, half of all consumers will interact with services based on cognitive computing on a regular basis.
Watson is being trained in four additional languages including Brazilian Portuguese, Spanish, Japanese and Arabic. [Five in total, including English]
Watson is being used to expand expertise and improve decision making in a variety of areas – healthcare, financial services, law, retail, education. Today hundreds of clients and partners across 36 countries and more than 17 industries have active projects underway with Watson. This work is expected to grow as IBM continues to enter Watson into new geographies and industries.
Most recently, we announced new client engagements with Thomson Reuters, Swiss Re and KPMG to adopt Watson to help transform their business solutions and provide new levels of intelligent information to customers.
Thomson Reuters (http://www-03.ibm.com/press/us/en/pressrelease/47794.wss) has begun a project to apply Watson to its solutions for business customers who require accurate, in-the-moment knowledge in order to make strategic decisions across multiple fields including science, legal, tax and finance.
Swiss Re (http://www-03.ibm.com/press/us/en/pressrelease/47904.wss) is using Watson to develop a range of underwriting solutions and help its professionals make better-informed decisions and more accurately price risk.
KPMG (http://www-03.ibm.com/press/us/en/pressrelease/49274.wss) is applying Watson to its audit practice, transforming the firm’s ability to deliver innovative and enhanced business services to clients.
Other examples:
The North Face (http://www-03.ibm.com/press/us/en/pressrelease/48479.wss) launched a new interactive online shopping experience powered by IBM Watson. Customers can now use natural conversation as they shop online via an intuitive, dialog-based recommendation engine, receiving outerwear recommendations that are tailored to their needs.
IBM Watson helped Kia to identify “social media influencers” who could buoy Kias message before and during the motor company’s 60-second spot during the Superbowl in 2016. http://www.wsj.com/articles/ibms-watson-helped-pick-kias-super-bowl-influencers-1454432402
Hilton (https://www-03.ibm.com/press/us/en/pressrelease/49307.wss) is piloting “Connie,” the first Watson-enabled robot concierge in the hospitality industry. Connie draws on domain knowledge from Watson and WayBlazer (a Watson ecosystem partner) to inform guests on local tourist attractions, dining recommendations and hotel features and amenities.
IBM and Apple are using the Watson Health Cloud to support health data entered by customers in iOS apps using Apple’s ResearchKit and HealthKit frameworks, arming medical researchers with a secure, open data storage solution. (https://www-03.ibm.com/press/us/en/pressrelease/46583.wss)
IBM is powering Softbank Robotic’s Pepper robots aimed at global enterprise customers. The robots under development will be equipped with core functionalities as well as a Watson software development kit that allows developers and clients to tailor the interaction experience. https://www-03.ibm.com/press/us/en/pressrelease/48763.wss
And that’s not it– not only are our customers validating the value of IBM Watson’s cognitive capabilities.
This year 2 million women will be diagnosed with breast cancer worldwide. In the US, a recent study of breast cancer risk revealed that 1 in 8 women develop invasive breast cancer during her lifetime. (In India, 1 in 28.)
As the most diagnosed cancer for women, in the last 20 years the number of therapies available for breast cancer treatment has increased from four to more than 800.
But, it’s a challenge for oncologists to stay abreast of the latest research, therapies, and clinical trials.
And the issue is growing exponentially across healthcare; in fact, by 2017 health data will grow by 99%. To keep up with this information, it would take a physician 160 hours of reading per week, when the average physician spends only five.
So how can cognitive help?
Bumrungrad International Hospital in Bangkok, Thailand – home to 580 beds and more than 30 specialty centers— and a network that spans 16 countries and four continents— in total 1.1 million patients— needed a way to give their oncologists access to world leading expertise without taking them away from patients to read and digest the latest information.
So they chose IBM Watson for Oncology, trained by Memorial Sloan Kettering Cancer Center.
Why IBM Watson? Why Cognitive?
Unlike doctors, IBM Watson is not bound by volume, memory, or format. Using the power of cognitive, Watson can understand, reason and learn. It can read millions of unstructured documents in seconds.
Since 2011 IBM has partnered with Memorial Sloan Kettering Cancer Center to train IBM Watson in the field of Oncology. During more than 15,000 hours of training by MSK, Watson ingested more than 600,000 pieces of medical evidence, 2 million pages of text, 1.5 million patient records and 26,000 clinical cases.
In choosing IBM Watson for Oncology, Bumrungrad oncologists gained access to an expert cognitive advisor that helps them to make more informed, personalized treatment decisions for its cancer patients.
So, for the next female patient- wife, mother, daughter, aunt- that comes in with breast cancer, oncologists at Bumrungrad can use IBM Watson to analyze relevant portions of her electronic medical record, including her family history, notes from prior office visits, and test results, then summarize and highlights aspects of her individual record and notes that are potentially significant to her cancer based on the expertise of oncologists at Memorial Sloan Kettering, and using IBM Watson for oncology they are provided with confidence-ranked, evidence-based personalized treatment options for this woman, something that they previously did not have the manpower to accomplish as personalized and confidently.
What will you do with Watson?
Key Stats
1 in 5 individuals are misdiagnosed - an alarming statistic. But it’s not the fault of the physician.
It is estimated that the doubling time of medical knowledge in 1950 was 50 years; in 1980, 7 years; and in 2015, less than three years.
An epidemiologist, according to a government study, would have to read 167 hours of research each week to keep up with the latest information. That is not humanly possible. This issue is growing exponentially across health care with medical data now doubling every 3 years.
The average primary care doctor in the US has a caseload of 2,300 patients and spends 15 minutes per patient visit.
As a result of the collaboration between IBM and Memorial Sloan Kettering, Watson for Oncology draws upon clinical expertise and over 20 years of experience and 1.5M patient records.
Bumrungrad International Hospital is home to 580 beds and more than 30 specialty centers— and a network that spans 16 countries and four continents— in total 1.1 million patients.
Today, clients in 36 countries, across 17 industries are applying cognitive technologies.
84% in healthcare believe it will play a disruptive role in the industry—and 60% believe they lack the skilled resources and technical expertise to achieve it.
Healthcare data will grow 99%, and 88% of all healthcare data will be unstructured. It is coming from electronic medical records (EMRs), test results, medical images, and video, patient sensors such as wearables, bedside devices and implants. Medical image archives alone are increasing by 20–40% annually.
Cognitive systems are designed to keep pace, serving as a companion for professionals to enhance their performance.
The President of Medtronic, Annette Bruls, remembers a very clear story from 2012 when met a woman in Berlin who convinced her that the healthcare community had to change the way it was addressing diabetes.
The woman and her two beautiful children, ages 2 and 5, both with diabetes, attended an awareness event Medtronic hosted at the German Parliament. She told her that there’s no vacation from diabetes. She got up 10 times each night to measure her children’s blood glucose levels. She struggled with diabetes every minute of every day, and she feared that her kids would live under its dark cloud all the days of their lives.
I thought: there must be more we can do.
Now, Medtronic and IBM are attempting to take diabetes care to the next level.
In a pilot to see how Watson can help people with diabetes, Medtronic and IBM took 600 past patient cases and applied cognitive analytics to the data from Medtronic insulin pumps and glucose monitors. Watson was able to predict hypoglycemia – extreme low blood sugar – up to three hours in advance of onset — early enough so a person with diabetes could take action to prevent a potentially dangerous health event.
As the insurance market becomes digital, digitally-savvy customers, based on their experience with other industries such as retail, expect insurers to provide the same advanced customer experience to them during their interactions. They expect insurers to know them in advance when they call, proactively engage with them after gathering relevant information from data such as social media and call center logs, and provide them with proactive advice and guidance.
To meet these changing customer expectations, Life and Property and Casualty (P&C) insurers are looking for innovative solutions that can enable them to shape the future of insurance by improving customer experiences. They are looking for intelligent automated chat solutions with self-service capability at their call centers, with which the customers can chat in natural language just as they chat with a CSR and obtain the required support quickly in real time.
Enter cognitive. Enter IBM Watson.
IBM Watson uses the cognitive abilities of understanding, reasoning and learning to deliver a new level of customer engagement to insurers, fundamentally changing how customers and insurance companies interact.
For example, a major insurance company built a Watson-based digital assistant that answers complex inquiries in natural language and coaches the user to complete the sale.
Watson Engagement Advisor enables insurers to deliver actionable insights and considered response to customers in need. In deploying IBM Watson, insurers, like you, can deliver more consistent, personalized and evidence-based recommendations to clients.
Key Stats
94% of C-Suite executives in retail and 96% in insurance intend to invest in cognitive capabilities
Today, clients in 36 countries, across 17 industries are applying cognitive technologies.
Marketers are achieving 15–20% ROI improvements by putting data-driven personalization at the center of their efforts.
Imagine knowing the answer to a problem exists, but not having a viable way to get it without redoing the work. Frustrating, right? In the oil and gas industry, leaders around the world create hundreds of thousands of documents per project—engineering studies, environmental reports, risk analyses, developmental concepts—the list goes on. But having all this content and not being able to derive value from it is less than optimal.
How can cognitive help? How can IBM Watson help?
Australia’s largest independent oil and gas producer leveraged IBM Watson Engagement Advisor to create a cognitive advisory service called “Lesson Learned.” Lesson Learned pulls together decades of engineering data from numerous sources including testing, projects and messages and makes it accessible to a wide group of employees.
For example, a project engineer in just the training phase at Woodside needed to ask IBM Watson through Lesson Learned about a serious issue they were having with birds and their helicopter landing pads at a new offshore platform.
The engineer typed “What design features have we put in offshore platforms to deter birds?” into Lesson Learned, and in 3 seconds—one instant— Watson culled through 30 years of Woodside’s data to surface an applicable solution used in another project 10 years prior. Non only that, IBM Watson included the report’s author, review team and approver— providing an evidence-based answer, further propelling collaboration across the organization, and preventing the rework of an problem previously solved.
Imagine that one instant hundreds of times a day in your organization.
What will you do with IBM Watson?
Key Stats
Woodside has more than 30 years of internal data science operations knowledge as a leading liquefied natural gas operator.
Woodside, like many oil and gas providers, creates 100,000s documents per projects.
Woodside projects range from $1-2billion to $10s of billions.
Today, clients in 36 countries, across 17 industries are applying cognitive technologies.
According to an industry analyst, decision management platforms will expand at a CAGR of 60% through 2019 in response to the need for greater consistency in decision-making and process knowledge retention.
Cognitive systems like IBM Watson are designed to keep pace, serving as a companion for professionals to enhance their performance.
The global hotel industry generates approximately between 400 and 500 billion U.S. dollars in revenue each year, one third of that revenue is attributable to the United States. Often, customer service is the differentiating factor between dollars and cents.
In fact, when surveyed, almost 9 in 10 consumers said they would pay more to ensure a superior customer experience. What makes up good customer service? Friendly staff, customized experiences, proactive attention, accurately solved problems, and accurate answers to guest questions.
But, according to consumers, customer service agents fail to answer their questions 50% of the time, and 59% of those unsatisfied consumers attest that they will try a new brand or company for a better experience.
How do you save these customers?
Enter cognitive. Enter IBM Watson.
Hospitality/Travel and Transportation providers are striving to remain competitive—improving efficiency and creating unique experiences to improve customer satisfaction.
Using data from on premise and off-premise data, loyalty programs, guest stays and more, IBM Watson can use the power of cognitive to understand, reason and learn to help hospitality leaders gain insights into the behavior of guests—helping you to provide a more personal touch.
Take our partners Go Moment and WayBlazer, these Powered by IBM Watson apps are disrupting the travel industry by creating unique customer experiences, tailored to their individual needs through the power of cognitive.
In fact, in 2016, 20 million hotel guests will have access to Ivy—an automated guest engagement platform powered by IBM Watson—that can welcome them, deliver instant service and help hotel staff improve satisfaction.
Another example. By employing IBM Watson’s cognitive computing technology, WayBlazer listens to your customers and presents considered, personalized recommendations. Powered by IBM Watson, WayBlazer can integrate with consumer touch-points at every stage of the travel experience: from early research and pre-stay to on-premise and about town.
This is just the beginning. What will you do with Watson?
Key Stats
According to an industry analyst, by 2018 half of all consumers will regularly interact with services based on cognitive.
The global hotel industry generates approximately between 400 and 500 billion U.S. dollars in revenue each year.
3 in 5 Americans (59%) would try a new brand or company for a better customer service experience.
In 2011, 7 in 10 Americans said they were willing to spend more with companies they believe provide excellent customer service.
According to consumers, customer service agents fail to answer their questions 50% of the time.
Almost 9 in 10 consumers say they would pay more to ensure a superior customer experience.
Today, clients in 36 countries, across 17 industries are applying cognitive technologies.
Marketers are achieving 15–20% ROI improvements by putting data-driven personalization at the center of their efforts.
UA Record is your body’s dashboard, with insights powered by IBM Watson. It collects your data and provides a 24/7 view of your progress. Set goals, capture sleep, log workouts, measure activity, track nutrition and connect with friends and athletes. Then UA Record analyzes all of your data and provides a single view of your daily progress with personalized insights and recommendations.
For example, a person can compete and compare against other people that are their same age. A male in his 40’s will see that there are 4.5 MILLION other people in the database today – that areJUST LIKE YOU. The UA Record app will share health and fitness insights comparable to others similar to you, including average weight, average resting heart rate and average steps taken per day. Additional insights could show how long an average workout is or how long someone like you is sleeping, down to the minute.
https://www-03.ibm.com/press/us/en/pressrelease/48764.wss