The document discusses how the future of the Internet of Things (IoT) will be cognitive. It notes that cognitive capabilities like artificial intelligence, machine learning, and deep learning are driving new capabilities. By 2025, annually 1 Bronto Byte of data will be created, but currently 80% of data is "dark." The rise of cognitive systems means they can understand text, images, and speech with context; reason and interpret information; and continuously learn from every interaction. Examples are given of how cognitive systems can be applied in retail, sales/marketing, manufacturing, equipment maintenance, quality control, and automotive to augment human performance.
Hannover Fare 2017 IBM - Hello Watson on the shop floorThorsten Schroeer
Thorsten Schröer discussed how cognitive computing using IBM Watson IoT can transform shopfloor operations. He explained that most industrial data is currently unused and cognitive technologies can help visualize patterns in this "dark data" to advance analytics. IBM Watson IoT is working on cognitive advisors that can assist with equipment, workers, quality control, supply chain disruptions, and problem resolution. The goal is for cognitive technologies to enhance manufacturing operations through logical steps that create value from IoT data.
IC-SDV 2019: Anna Maria VIlla: Technology fields supported by machine learnin...Dr. Haxel Consult
This document discusses the intersection of machine learning and various technology fields. It identifies 11 fields that machine learning is permeating, including artificial intelligence, data security, biopharma, autonomous driving, blockchain, additive manufacturing, protein engineering, wearables, smart cities, and robotics. It then uses the example of machine learning and medical bionics to illustrate the activity, geography, origin of world class patents, examples of inventions, and main players in that domain. The purpose is to show how machine learning relates to different technical areas and how this intersection can be mapped and analyzed.
IC-SDV 2019: Neural Networks today - Mihai Lupu (Research Studio Data Science...Dr. Haxel Consult
Semantic Search can be understood in a broad spectrum in computer science in general, and in the intellectual property in particular. Among the methods available to us, it has become clear that neural networks, be they deep, convolutional, recurrent, or otherwise, are the instrument of choice today. This is because, under the current data and computational resources availability, they are an extremely flexible instrument shown, repeatedly and consistently, to provide better results in a variety of machine learning tasks.
Thus, the aim of the presentation is to focus from the broad spectrum of semantics presented last year, to a narrow, but still very rich spectrum of neural networks. Additionally, I will show the directions in which the field appears to be developing, namely Transfer Learning and Differential Programming. Additionally, the presentation would focus on the need for standardised benchmarking and introduce the World Patent Information Patent Test Collection.
The document discusses the new era of cognitive computing. It describes IBM Research's work in developing cognitive systems, including Watson 2.0 which applies complex reasoning, and Watson 3.0 which extends human cognition. It also discusses cognitive computing applications like DOME which differentiates noise from science using deep space data. Finally, it mentions projects like SyNAPSE, a neurosynaptic supercomputer, and the Human Brain Project, which aims to build a detailed brain model.
Deep learning is the fastest growing field in artificial intelligence according to Gartner's top strategic technology trends for 2017 which ranks AI and machine learning as number one. The document then provides examples of how deep learning is accelerating innovation in various industries such as cancer research, speech recognition, and more. It promotes NVIDIA's deep learning and AI solutions to help readers learn how these technologies can impact their own business.
The document discusses how the future of the Internet of Things (IoT) will be cognitive. It notes that cognitive capabilities like artificial intelligence, machine learning, and deep learning are driving new capabilities. By 2025, annually 1 Bronto Byte of data will be created, but currently 80% of data is "dark." The rise of cognitive systems means they can understand text, images, and speech with context; reason and interpret information; and continuously learn from every interaction. Examples are given of how cognitive systems can be applied in retail, sales/marketing, manufacturing, equipment maintenance, quality control, and automotive to augment human performance.
Hannover Fare 2017 IBM - Hello Watson on the shop floorThorsten Schroeer
Thorsten Schröer discussed how cognitive computing using IBM Watson IoT can transform shopfloor operations. He explained that most industrial data is currently unused and cognitive technologies can help visualize patterns in this "dark data" to advance analytics. IBM Watson IoT is working on cognitive advisors that can assist with equipment, workers, quality control, supply chain disruptions, and problem resolution. The goal is for cognitive technologies to enhance manufacturing operations through logical steps that create value from IoT data.
IC-SDV 2019: Anna Maria VIlla: Technology fields supported by machine learnin...Dr. Haxel Consult
This document discusses the intersection of machine learning and various technology fields. It identifies 11 fields that machine learning is permeating, including artificial intelligence, data security, biopharma, autonomous driving, blockchain, additive manufacturing, protein engineering, wearables, smart cities, and robotics. It then uses the example of machine learning and medical bionics to illustrate the activity, geography, origin of world class patents, examples of inventions, and main players in that domain. The purpose is to show how machine learning relates to different technical areas and how this intersection can be mapped and analyzed.
IC-SDV 2019: Neural Networks today - Mihai Lupu (Research Studio Data Science...Dr. Haxel Consult
Semantic Search can be understood in a broad spectrum in computer science in general, and in the intellectual property in particular. Among the methods available to us, it has become clear that neural networks, be they deep, convolutional, recurrent, or otherwise, are the instrument of choice today. This is because, under the current data and computational resources availability, they are an extremely flexible instrument shown, repeatedly and consistently, to provide better results in a variety of machine learning tasks.
Thus, the aim of the presentation is to focus from the broad spectrum of semantics presented last year, to a narrow, but still very rich spectrum of neural networks. Additionally, I will show the directions in which the field appears to be developing, namely Transfer Learning and Differential Programming. Additionally, the presentation would focus on the need for standardised benchmarking and introduce the World Patent Information Patent Test Collection.
The document discusses the new era of cognitive computing. It describes IBM Research's work in developing cognitive systems, including Watson 2.0 which applies complex reasoning, and Watson 3.0 which extends human cognition. It also discusses cognitive computing applications like DOME which differentiates noise from science using deep space data. Finally, it mentions projects like SyNAPSE, a neurosynaptic supercomputer, and the Human Brain Project, which aims to build a detailed brain model.
Deep learning is the fastest growing field in artificial intelligence according to Gartner's top strategic technology trends for 2017 which ranks AI and machine learning as number one. The document then provides examples of how deep learning is accelerating innovation in various industries such as cancer research, speech recognition, and more. It promotes NVIDIA's deep learning and AI solutions to help readers learn how these technologies can impact their own business.
Deep learning is the fastest growing field in artificial intelligence. It has the potential to transform industries like electricity did 100 years ago. The document highlights five stories of how AI and deep learning are accelerating innovation: 1) Baidu open sourced its deep learning platform PaddlePaddle to attract talent, 2) Machine learning will push data science to increase relevance, 3) UC Berkeley created artificial intelligence graders to cut grading time by 75%, 4) A startup developed an algorithm to recognize objects in photos and link them to items for sale, 5) Deep learning could help football coaches with strategic insights.
Ibm cognitive business_strategy_presentationdiannepatricia
IBM Cognitive Business Strategy presentation. Presented by Dianne Fodell and Jim Spohrer at the Cognitive Systems Institute Group Speaker Series call on October 8, 2015.
Talk about the engagement of Users in IoT Systems, and the need to apply an Ambient Intelligence design methodology, given at the "Netcamp 2017" event, organized by Reply in Torino, November 9, 2017.
Artificial intelligence (AI) refers to computer systems that mimic human intelligence through tasks like image recognition. Machine learning is a subset of AI that allows computers to learn from data without being explicitly programmed. Robotic process automation uses software to automate repetitive business processes like data processing and responding to emails. The document discusses several emerging technologies including edge computing, virtual and augmented reality, blockchain, the internet of things, and cybersecurity.
This document contains notes from a presentation on designing for the Internet of Things. It discusses topics like ubiquitous user experience design, lean development processes, experimenting with new technologies in labs, creating fully integrated mobile experiences, leveraging data, designing smart connected products, and principles for mundane computing. The presentation argues that Internet of Things products should be platform products and emphasizes thinking about services, usage, behavior, value from connections, and using data as a combining factor.
Presentation for Resource person on “Artificial Intelligence – How it useful to Government Departments” organized by Government of Andra Pradesh, APHRDI (Andhra Pradesh Human Resource Development Institute) at Bapatla, Andra Pradesh, India on Jan 18-20, 2018.
Artificial Intelligence Explained: What Are Generative Adversarial Networks (...Bernard Marr
There are many new developments in the field of artificial intelligence, and one of the most exciting and transformative ideas are Generative Adversarial Networks (GANs). Here we explain in simple terms what they are.
The document discusses the future of artificial intelligence and outlines key topics. It notes that narrow AI focused on pattern recognition is developing rapidly due to increased computing power and data, while broad, human-level AI will be much more difficult to achieve and is estimated to still be over a decade away. The document also examines the timeline and challenges of progressing from current narrow AI to advanced artificial intelligence, identifies leading organizations and countries in AI research and development, and discusses some of the potential benefits and risks of AI technology. It emphasizes the importance of open data, models and code in advancing AI for the benefit of all.
This document provides an overview of developments in artificial intelligence and deep learning. It discusses the growth of AI applications in areas like transportation, healthcare, and national security. Experts comment that while AI has great potential, more funding and research is needed to fully realize its benefits. The document also highlights several recent stories about advances in AI, such as life-changing technology to help the visually impaired and how AI could be used to detect stock market manipulation.
Get the latest announcements on Microsoft and NVIDIA's HGX-1 platform for artificial intelligence cloud computing, Facebook's new AI server, and the launch of Jetson TX2 for AI computing in cameras, sensors, and more.
Welcome to the future - IBM Cognitive Cloud in FrankfurtAleksandar Francuz
The following charts show the challenges and disruption related to digitization, main requirements from German companies related to data privacy and security and presenting the values and opportunities IBM Cloud could offer incl. customer references and examples.
byteLAKE and Lenovo presenting Federated Learning at MWC 2019byteLAKE
byteLAKE and Lenovo presenting Federated Learning for IoT live on stage at #MWC19
• real time machine learning
• data stays on edge, only models travel beyond
• leverage on all local AI models across IoT distributed infrastructure
More at: https://www.bytelake.com/en/federated-learning/ and www.byteLAKE.com/en/MWC19
NYU's Center for Data Science recently acquired an NVIDIA DGX-1 AI supercomputer to accelerate research in fields such as machine learning, computer vision, and robotics. The director of AI Research at Facebook says the DGX-1 will be crucial for success in nearly every research project at NYU. OpenAI is using discussions on Reddit to increase the amount of natural language data available to train their AI systems to communicate like humans.
Semantic Computing will make the Internet of Things 2Bob Connell
Semantic computing will help unlock the full potential of data collected by internet-connected devices by adding context and meaning. It can process both structured and unstructured data from a variety of sources to provide quicker analysis. This will allow organizations to gain deeper customer insights, access more complete information for decision making, better predict outcomes, continuously improve products/services, and extend specialist expertise. By utilizing semantic computing to analyze data from internet-connected devices more effectively, organizations can realize greater value from their internet of things implementations.
This document discusses designing a better way for people to enjoy flowers in their homes. It emphasizes observing users, reflecting on insights, and making ideas tangible. It also mentions that the cognitive enterprise focuses on simplicity, iterative design, and agility. The document outlines a vision for front office, back office, and whole office transformation using cognitive technology to discover, decide, engage and collaborate through curiosity and innovation.
IC-SDV 2019: The Economics of Artificial Intelligence and Machine Learning fo...Dr. Haxel Consult
Decision points for when to implement automatic indexing or more intensive subject analysis
Machine learning and artificial intelligence approaches to automatic indexing and other aspects of content enrichment have tremendous potential, but there are significant barriers to successful implementations. The economics of these systems are not now generally affordable, which will indefinitely delay widespread adoption. Significant costs are involved in just the training and maintaining systems that chronically under perform and are fail to scale. Cost and performance data will be characterized and presented. Machine learning and artificial intelligence projects are not for the faint of heart, nor for those with small budgets. Key cost elements are identified along with approaches to estimating costs based on actual and reported cases.
Deep learning is the fastest growing field in artificial intelligence. The top stories highlight why AI and deep learning are popular, including how startups are now marketing themselves as "X plus AI" rather than "the Uber for X". Deep learning apps are phenomenally popular, and AI is transforming industries like retail, finance, automotive, education, and healthcare by helping tasks like tracking vaccinations and identifying missing children.
My keynote slides from CMO Summit, Ascot Racecourse, October 12th.
• Link to HBR CMO article: https://hbr.org/2017/07/the-trouble-with-cmos
• Try the technologies that power Wimbledon: https://www.ibm.com/uk-en/marketplace/wimbledon/
• Personality Insights Twitter demo: https://personality-insights-livedemo.mybluemix.net/
• More info about Watson: www.IBM.com/Watson
• Watson Marketing Assistant demo: https://vimeo.com/216818571
Say Hello to Watson on the Shopfloor - AI and Cognitive Manufacturing in ActionThorsten Schroeer
I gave this presentation at the chamber of commerce in luxemburg for the cluster of logistics in november 2017. Key themes are #ai #cognitive #watson #iot #manufacturing #supply chain #robotics
Deep learning is the fastest growing field in artificial intelligence. It has the potential to transform industries like electricity did 100 years ago. The document highlights five stories of how AI and deep learning are accelerating innovation: 1) Baidu open sourced its deep learning platform PaddlePaddle to attract talent, 2) Machine learning will push data science to increase relevance, 3) UC Berkeley created artificial intelligence graders to cut grading time by 75%, 4) A startup developed an algorithm to recognize objects in photos and link them to items for sale, 5) Deep learning could help football coaches with strategic insights.
Ibm cognitive business_strategy_presentationdiannepatricia
IBM Cognitive Business Strategy presentation. Presented by Dianne Fodell and Jim Spohrer at the Cognitive Systems Institute Group Speaker Series call on October 8, 2015.
Talk about the engagement of Users in IoT Systems, and the need to apply an Ambient Intelligence design methodology, given at the "Netcamp 2017" event, organized by Reply in Torino, November 9, 2017.
Artificial intelligence (AI) refers to computer systems that mimic human intelligence through tasks like image recognition. Machine learning is a subset of AI that allows computers to learn from data without being explicitly programmed. Robotic process automation uses software to automate repetitive business processes like data processing and responding to emails. The document discusses several emerging technologies including edge computing, virtual and augmented reality, blockchain, the internet of things, and cybersecurity.
This document contains notes from a presentation on designing for the Internet of Things. It discusses topics like ubiquitous user experience design, lean development processes, experimenting with new technologies in labs, creating fully integrated mobile experiences, leveraging data, designing smart connected products, and principles for mundane computing. The presentation argues that Internet of Things products should be platform products and emphasizes thinking about services, usage, behavior, value from connections, and using data as a combining factor.
Presentation for Resource person on “Artificial Intelligence – How it useful to Government Departments” organized by Government of Andra Pradesh, APHRDI (Andhra Pradesh Human Resource Development Institute) at Bapatla, Andra Pradesh, India on Jan 18-20, 2018.
Artificial Intelligence Explained: What Are Generative Adversarial Networks (...Bernard Marr
There are many new developments in the field of artificial intelligence, and one of the most exciting and transformative ideas are Generative Adversarial Networks (GANs). Here we explain in simple terms what they are.
The document discusses the future of artificial intelligence and outlines key topics. It notes that narrow AI focused on pattern recognition is developing rapidly due to increased computing power and data, while broad, human-level AI will be much more difficult to achieve and is estimated to still be over a decade away. The document also examines the timeline and challenges of progressing from current narrow AI to advanced artificial intelligence, identifies leading organizations and countries in AI research and development, and discusses some of the potential benefits and risks of AI technology. It emphasizes the importance of open data, models and code in advancing AI for the benefit of all.
This document provides an overview of developments in artificial intelligence and deep learning. It discusses the growth of AI applications in areas like transportation, healthcare, and national security. Experts comment that while AI has great potential, more funding and research is needed to fully realize its benefits. The document also highlights several recent stories about advances in AI, such as life-changing technology to help the visually impaired and how AI could be used to detect stock market manipulation.
Get the latest announcements on Microsoft and NVIDIA's HGX-1 platform for artificial intelligence cloud computing, Facebook's new AI server, and the launch of Jetson TX2 for AI computing in cameras, sensors, and more.
Welcome to the future - IBM Cognitive Cloud in FrankfurtAleksandar Francuz
The following charts show the challenges and disruption related to digitization, main requirements from German companies related to data privacy and security and presenting the values and opportunities IBM Cloud could offer incl. customer references and examples.
byteLAKE and Lenovo presenting Federated Learning at MWC 2019byteLAKE
byteLAKE and Lenovo presenting Federated Learning for IoT live on stage at #MWC19
• real time machine learning
• data stays on edge, only models travel beyond
• leverage on all local AI models across IoT distributed infrastructure
More at: https://www.bytelake.com/en/federated-learning/ and www.byteLAKE.com/en/MWC19
NYU's Center for Data Science recently acquired an NVIDIA DGX-1 AI supercomputer to accelerate research in fields such as machine learning, computer vision, and robotics. The director of AI Research at Facebook says the DGX-1 will be crucial for success in nearly every research project at NYU. OpenAI is using discussions on Reddit to increase the amount of natural language data available to train their AI systems to communicate like humans.
Semantic Computing will make the Internet of Things 2Bob Connell
Semantic computing will help unlock the full potential of data collected by internet-connected devices by adding context and meaning. It can process both structured and unstructured data from a variety of sources to provide quicker analysis. This will allow organizations to gain deeper customer insights, access more complete information for decision making, better predict outcomes, continuously improve products/services, and extend specialist expertise. By utilizing semantic computing to analyze data from internet-connected devices more effectively, organizations can realize greater value from their internet of things implementations.
This document discusses designing a better way for people to enjoy flowers in their homes. It emphasizes observing users, reflecting on insights, and making ideas tangible. It also mentions that the cognitive enterprise focuses on simplicity, iterative design, and agility. The document outlines a vision for front office, back office, and whole office transformation using cognitive technology to discover, decide, engage and collaborate through curiosity and innovation.
IC-SDV 2019: The Economics of Artificial Intelligence and Machine Learning fo...Dr. Haxel Consult
Decision points for when to implement automatic indexing or more intensive subject analysis
Machine learning and artificial intelligence approaches to automatic indexing and other aspects of content enrichment have tremendous potential, but there are significant barriers to successful implementations. The economics of these systems are not now generally affordable, which will indefinitely delay widespread adoption. Significant costs are involved in just the training and maintaining systems that chronically under perform and are fail to scale. Cost and performance data will be characterized and presented. Machine learning and artificial intelligence projects are not for the faint of heart, nor for those with small budgets. Key cost elements are identified along with approaches to estimating costs based on actual and reported cases.
Deep learning is the fastest growing field in artificial intelligence. The top stories highlight why AI and deep learning are popular, including how startups are now marketing themselves as "X plus AI" rather than "the Uber for X". Deep learning apps are phenomenally popular, and AI is transforming industries like retail, finance, automotive, education, and healthcare by helping tasks like tracking vaccinations and identifying missing children.
My keynote slides from CMO Summit, Ascot Racecourse, October 12th.
• Link to HBR CMO article: https://hbr.org/2017/07/the-trouble-with-cmos
• Try the technologies that power Wimbledon: https://www.ibm.com/uk-en/marketplace/wimbledon/
• Personality Insights Twitter demo: https://personality-insights-livedemo.mybluemix.net/
• More info about Watson: www.IBM.com/Watson
• Watson Marketing Assistant demo: https://vimeo.com/216818571
Say Hello to Watson on the Shopfloor - AI and Cognitive Manufacturing in ActionThorsten Schroeer
I gave this presentation at the chamber of commerce in luxemburg for the cluster of logistics in november 2017. Key themes are #ai #cognitive #watson #iot #manufacturing #supply chain #robotics
Festival of Marketing: Marketers v MachinesJeremy Waite
The document discusses how marketers can use artificial intelligence tools like IBM Watson without losing their jobs or creating problems. It outlines various AI capabilities that IBM Watson has developed over time, including personality insights, sentiment analysis, visual recognition, and more. The document emphasizes that technology is not as important as having faith in people and giving them the right tools to do wonderful things. It concludes by thanking the audience and providing contact information for the speaker.
F. Gorga, A- Ghezzi, D. Fazzone and NAO Robot - Can a robot be a Shop Assista...Codemotion
Watson and Cloud Platform Specialist Ferdinando Gorga presented at codemotion 2018 about IBM Watson's AI capabilities and services. The presentation covered Watson's natural language processing, machine learning, and visual recognition services. It also demonstrated how various Watson services could be used together with other technologies through the IBM Cloud Platform.
Say "Hello" to Watson on the shop floor @ M2M Summit CologneThorsten Schroeer
Hi held this presentation at the M2M Summit in Cologne Lanxess Arena on October 11th. It is about the use of AI, cognitive, Watson in the manufacturing domain.
MindsLab is an AI platform company that provides various AI solutions including an AI platform called maum.ai, a voice of customer (VOC) solution called Minds VOC, and a smart speaker called ASCAR. It was founded in 2014 and is headquartered in South Korea with additional offices in Silicon Valley, New York, and other locations. MindsLab has raised $5 million and provides AI solutions to customers such as LG Electronics and Samsung.
IBM Watson and natural language processingRoberto Villa
IBM Watson Natural Language Processing allows developers to extract insights from unstructured text to build cognitive apps. It uses techniques like entity extraction, sentiment analysis, keyword extraction and more to analyze text and understand the underlying concepts, entities, and sentiment. Some example uses are to extract people, places and entities from news articles or to gather business intelligence from sources like social media, websites or documents to power applications in areas like customer care, business intelligence, and content recommendation.
Watson and Cognitive Meetup April 2017Rick Osowski
(Presented by Randy Vogel)
Have you heard about cognitive and wondered what's the buzz? Have you heard of Watson and wondered what it is and how it can help you? Are you wondering if that's the same thing that won Jeopardy? Are you curious how you can do more with your data than just react and report?
If these topics are on your mind, join us for an evening featuring Watson and Cognitive Learning, powered by the IBM Cloud. We'll provide an introduction into the opportunity around data and analytics, layer on the advanced abilities of cognitive learning, and show some of Watson's services live.
Whether you're a seasoned data scientist or just beginning to explore the opportunities with data and cognition, you'll find this Meetup perfect to start expanding your possibilities.
The document discusses cognitive computing and the future of artificial intelligence. It describes how by 2018, half of all consumers will regularly interact with services based on cognitive technologies. It then provides an overview of IBM's research into cognitive computing, including the development of early AI systems, deep learning, natural language processing, machine vision, and brain-inspired systems like SyNAPSE. The document outlines IBM's vision of a future where cognitive systems can assist humans by interpreting medical images, recognizing speech, providing recommendations, and engaging in conversational interactions.
Home robots meet IBM Watson for Voice UI, and AIBill Liu
This document discusses adding Watson AI to robots and IoT devices. It describes using visual recognition for obstacle identification, voice UI, and path generation when adding Watson to devices like Roombas. It also outlines IBM's cloud infrastructure for cognitive systems and Watson services, including APIs for visual recognition, speech, natural language understanding, and more. The document suggests applications of these services in insurance, energy and construction industries.
1. The document discusses how technology and consumer expectations have become the most important forces impacting the auto industry today and in 2025.
2. It argues that self-enabling vehicles, which are connected to cognitive systems and the Internet of Things (IoT), can better understand drivers through data collection and analysis.
3. By 2025, cognitive systems and IoT connections in vehicles may enable new personalized experiences for drivers through capabilities like self-driving, self-healing, self-learning, and self-configuring.
The document discusses the essential elements (Es) of robo-advisors: efficiency, engagement, and education. It provides charts showing individual wealth and happiness over the lifespan. It also outlines how robo-advisors provide affordable and transparent investment services to more customers through digital innovation.
This document provides an overview of artificial intelligence and discusses data science versus AI. It outlines the objectives of understanding AI fundamentals, identifying data-driven opportunities, and appreciating the steps required for AI readiness. It also describes applications of AI like image recognition, speech recognition, and natural language processing. Finally, it discusses the importance of executive commitment, business decisions, and budget for AI readiness.
From Science Fiction to Science Fact: How AI Will Change Our Approach to Buil...Dev_Events
Rama Akkiraju, Distinguished Engineer, Master Inventor, IBM Watson User Technologies
IBM Watson and Cloud Platform
We have entered a new period of computing history — a cognitive era. For decades, science fiction visionaries have shared their renditions of intelligent machines and computers that could learn and function as humans. Intelligent machines have moved beyond the lore of science fiction; today, they are a reality thanks to breakthroughs in AI and machine learning. So how will this impact and change the apps that we build and how we leverage new and existing data?
In this interactive session, we’ll explore those questions and:
• Discuss where AI currently is and where the technology is going
• Show how pioneering apps and developers around the world are already using it
• Provide access to sample code and applications which you and your teams can use to understand and explore cognitive computing for yourself
NOVA Data Science Meetup 1/19/2017 - Presentation 1NOVA DATASCIENCE
The document discusses cognitive computing and its applications. It begins with an agenda that includes an overview of cognitive computing and examples of its use. It then discusses IBM Research's work leading to the development of Watson. Key points made include that most data is now unstructured, cognitive systems can reason, learn and understand like humans, and examples of cognitive computing applications in various domains.
1. The document discusses various technology trends from 2011 to 2017 including cloud, mobility, big data, analytics, smart cities, internet of things, AI/cognitive computing, AR/VR, and machine learning.
2. It provides an overview of IBM's Watson APIs and services for natural language processing, vision, speech, data and analytics, compute, mobile, DevOps, security, networking, and storage.
3. The document promotes IBM's resources for developers including learning labs, recipes, competitions and programs to learn, build, and grow their skills.
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
Similar to Cognitive Computing in Industrial Sector - An IBM Point of View@bitkom (20)
AI, Blockchain and Quantum - Moonshoot for the Enterprise !?Thorsten Schroeer
The document discusses emerging digital technologies like AI, blockchain, and quantum computing and their potential applications in manufacturing. It notes that these technologies could completely redefine manufacturing possibilities by enhancing productivity, increasing worker safety, enabling new products, and improving supply chain management. Specific examples are provided of how IBM is applying AI and edge computing for visual inspection, acoustic analytics, and monitoring manufacturing operations. The document concludes by arguing that quantum computing will be a game changer for industries like manufacturing by enabling faster simulations and optimization.
IBM @ Valletta Tech Conference - IoT and beyond April 2022Thorsten Schroeer
Thorsten Schroeer and Lukas Steiner from IBM gave a presentation on Internet of Things (IoT) in the context of hybrid cloud and artificial intelligence. They discussed key IoT building blocks like sensors, gateways, and networks. They also explained how AI and edge computing are combined with IoT (AIoT) and hybrid multi-cloud platforms. Examples were given of how IBM has helped customers implement IoT solutions for infrastructure monitoring, predictive maintenance, and new business models. Quantum computing was briefly introduced as the next frontier after IoT.
Cloud, AI and Quantum in Mobility - IBM Thorsten SchroeerThorsten Schroeer
Hybrid cloud, AI, and quantum computing will be game changers for future mobility and autonomous driving. These technologies can help optimize logistics, utilization of production lines, and AI models for self-driving cars. Quantum computing shows promise for materials simulation, battery design, and other mobility applications. Companies should start strategizing for quantum computing now as patents are being filed and talent is scarce. IBM is working on accelerating applications of AI and autonomous driving with quantum computing through publicly funded projects.
IBM Thorsten Schroeer @ ARC European Industry Forum 2021Thorsten Schroeer
I gave this presentation in May 2021 at the ARC Industry Forum. This digital event had 700 attendants and coverd topics incl. AI, Blockchain, Cloud, Ot/IT, Security and some more.
IBM @ Connected Manufacturing Leadership Summit Berlin Jan 2020Thorsten Schroeer
I held this presentation in front of about a 200 audience on Jan 29th 2020 in Berlin at the annual Connected Manufacturing Leadership Summit in Berlin. I gave a deep insight on how IBM leverages AI within its own Supply Chain Operations and an outlook what will come in next 5 years.
IBM on AI in Manufacturing @ 2nd Smart Manufacturing Forum BerlinThorsten Schroeer
I gave this keynote on June 12th at the 2nd smart manufacturing forum in Berlin addressing a crowd manufacturing OEMs driving excellence on the plants.
Applying Artificial Intelligence in the Manufacturing World œ Future factory ...Thorsten Schroeer
I gave this presentation in May 2018 the the Future of Factory Conference organized by Bank of America. Audience have been key investors in the industrial industry domain.
IBM Watson and TJBot @ CSCMP Europe Conference RotterdamThorsten Schroeer
I gave this presentation mid may 2018 at the annual CSCMP Europe conference in Rotterdam in front of a crowd of supply chain professionals. The presentation included also various demos with a TJ Bot robot and various web client demos on the use of Watson.
The Future of the IoT will be cognitive - IBM Point of ViewThorsten Schroeer
I gave this presentation at the 2nd Lake Constance Supplier Dialogue in October 2017 in Friedriechshafen/Germany as part of the German Purchasing Association.
Hi held this presentation May 19th in Barcelona at the annual conference from CSCMP.org. I share IBM's journey in supply chain from transparency to analytics to cognitive.
Artificial intelligence in supply chain and manufacturing - An IBM case study...Thorsten Schroeer
This document discusses how IBM is using artificial intelligence and cognitive computing to transform supply chain management. It provides examples of how IBM Watson is helping optimize supply chain operations through predictive analytics, machine learning, and cognitive advising. The presentation outlines IBM's journey from implementing transparent supply chain processes to developing a cognitive supply chain that augments decisions making using real-time data and insights.
1. The document discusses IBM's strategy around cognitive manufacturing and the Industrial Internet of Things (IIoT).
2. It describes IBM's Watson IoT platform, which collects data from devices, enables edge analytics, and provides analytics and cognitive capabilities to help manufacturers predict needs, improve decision making, and gain competitive advantages.
3. Examples are given of how IBM has helped manufacturers increase productivity, reduce costs, and improve quality through applying cognitive technologies like predictive analytics, machine learning and natural language processing to manufacturing data.
M2M Summit 2016 - IBM Presentation Cognitive ManufacturingThorsten Schroeer
1) Cognitive technologies such as machine learning and natural language processing can help manufacturing and supply chains by understanding large amounts of data, reasoning about that data, and continuously learning from new information.
2) IBM is working on several cognitive projects for manufacturing including a cognitive quality advisor, supply chain disruptions advisor, and cognitive resolution rooms advisor. John Deere is also working on cognitive technology at its factory in Mannheim.
3) Cognitive technologies like visual inspection systems can help manufacturers by reusing past trained algorithms to handle variations, developing new analytics to handle new cases, and continuously learning and improving algorithms from large data sets.
Cognitive era in global electronics industry public versionThorsten Schroeer
The document discusses the rise of cognitive technology and the Internet of Things (IoT) in industrial sectors. It describes IBM's Watson IoT platform, which connects devices, manages networks and gateways, integrates information from various sources, and performs real-time, predictive and cognitive analytics. The platform helps industries transform by enabling value across manufacturing, sales, customer experience, warranty/repair, and product development. Examples are provided of how cognitive solutions from IBM are being used by companies like Siemens, KONE, MIELE, and others in applications like digital buildings, elevator maintenance, recipe suggestions, and more.
Ibm watson platform – the era of the cognitive smart home public versionThorsten Schroeer
The document discusses the emergence of cognitive technologies and the cognitive smart home. It describes how cognitive systems can understand context, learn from data, and provide insights. The cognitive smart home uses these abilities to enhance safety, convenience, health, energy efficiency, and other areas of daily living. IBM's Watson IoT platform allows connecting devices and analyzing data to enable cognitive applications for smart homes. The outlook is that cognitive technologies will increasingly enhance human engagement through abilities like emotion detection and expression.
2106-04-30 - IBM - The Era of the Cognitive Home - for distributionThorsten Schroeer
Cognitive systems can understand, reason, and learn from data in a way that is fundamentally different than previous technologies. The cognitive home uses these capabilities to gain a system-wide understanding of context through connected devices. The IBM Watson IoT platform provides tools to connect devices, analyze data, and build cognitive applications. For example, Miele appliances connected to the platform can receive recipe suggestions from Chef Watson. Overall, cognitive technologies will transform industries like electronics and enable new personalized experiences through applications of understanding, reasoning, and learning from data.
AI Transformation Playbook: Thinking AI-First for Your BusinessArijit Dutta
I dive into how businesses can stay competitive by integrating AI into their core processes. From identifying the right approach to building collaborative teams and recognizing common pitfalls, this guide has got you covered. AI transformation is a journey, and this playbook is here to help you navigate it successfully.
During the budget session of 2024-25, the finance minister, Nirmala Sitharaman, introduced the “solar Rooftop scheme,” also known as “PM Surya Ghar Muft Bijli Yojana.” It is a subsidy offered to those who wish to put up solar panels in their homes using domestic power systems. Additionally, adopting photovoltaic technology at home allows you to lower your monthly electricity expenses. Today in this blog we will talk all about what is the PM Surya Ghar Muft Bijli Yojana. How does it work? Who is eligible for this yojana and all the other things related to this scheme?
Tired of chasing down expiring contracts and drowning in paperwork? Mastering contract management can significantly enhance your business efficiency and productivity. This guide unveils expert secrets to streamline your contract management process. Learn how to save time, minimize risk, and achieve effortless contract management.
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Cover Story - China's Investment Leader - Dr. Alyce SUmsthrill
In World Expo 2010 Shanghai – the most visited Expo in the World History
https://www.britannica.com/event/Expo-Shanghai-2010
China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
The Most Inspiring Entrepreneurs to Follow in 2024.pdfthesiliconleaders
In a world where the potential of youth innovation remains vastly untouched, there emerges a guiding light in the form of Norm Goldstein, the Founder and CEO of EduNetwork Partners. His dedication to this cause has earned him recognition as a Congressional Leadership Award recipient.
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Discover the Beauty and Functionality of The Expert Remodeling Serviceobriengroupinc04
Unlock your kitchen's true potential with expert remodeling services from O'Brien Group Inc. Transform your space into a functional, modern, and luxurious haven with their experienced professionals. From layout reconfiguration to high-end upgrades, they deliver stunning results tailored to your style and needs. Visit obriengroupinc.com to elevate your kitchen's beauty and functionality today.
𝐔𝐧𝐯𝐞𝐢𝐥 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐄𝐧𝐞𝐫𝐠𝐲 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐰𝐢𝐭𝐡 𝐍𝐄𝐖𝐍𝐓𝐈𝐃𝐄’𝐬 𝐋𝐚𝐭𝐞𝐬𝐭 𝐎𝐟𝐟𝐞𝐫𝐢𝐧𝐠𝐬
Explore the details in our newly released product manual, which showcases NEWNTIDE's advanced heat pump technologies. Delve into our energy-efficient and eco-friendly solutions tailored for diverse global markets.
Presentation by Herman Kienhuis (Curiosity VC) on Investing in AI for ABS Alu...Herman Kienhuis
Presentation by Herman Kienhuis (Curiosity VC) on developments in AI, the venture capital investment landscape and Curiosity VC's approach to investing, at the alumni event of Amsterdam Business School (University of Amsterdam) on June 13, 2024 in Amsterdam.
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Unlocking WhatsApp Marketing with HubSpot: Integrating Messaging into Your Ma...Niswey
50 million companies worldwide leverage WhatsApp as a key marketing channel. You may have considered adding it to your marketing mix, or probably already driving impressive conversions with WhatsApp.
But wait. What happens when you fully integrate your WhatsApp campaigns with HubSpot?
That's exactly what we explored in this session.
We take a look at everything that you need to know in order to deploy effective WhatsApp marketing strategies, and integrate it with your buyer journey in HubSpot. From technical requirements to innovative campaign strategies, to advanced campaign reporting - we discuss all that and more, to leverage WhatsApp for maximum impact. Check out more details about the event here https://events.hubspot.com/events/details/hubspot-new-delhi-presents-unlocking-whatsapp-marketing-with-hubspot-integrating-messaging-into-your-marketing-strategy/
Enhancing Adoption of AI in Agri-food: IntroductionCor Verdouw
Introduction to the Panel on: Pathways and Challenges: AI-Driven Technology in Agri-Food, AI4Food, University of Guelph
“Enhancing Adoption of AI in Agri-food: a Path Forward”, 18 June 2024
18. IBMWatson
Examples of use
Watson Industry Solutions
Watson Products
Watson Health
Watson for Education
Watson for Cyber Security
Watson IoT
Watson & SAP
Watson & Salesforce (Watson Einstein)
Research
Creativity
19. Questions
&
Answers
Text to
Speech
Tradeoff
Analytics
Speech
to Text
Concept
Insights
Retrieve
& Rank
Watson
News
Dialog
Tone
Analyzer
Concept
Tagging
Image
Tagging
Relationship
Extraction
Personality
Insights
Natural
Language
Classifier
Visual
Recognition
Image Link
Extraction
Sentiment
Analysis
Message
Resonance
Face
Detection
Relationship
Extraction
Taxonomy
Author
Extraction
Keyword
Extraction
Language
Translation
Text
Extraction
Entity
Extraction
Language
Detection
Concept
Expansion
Easy
Adaptation
Knowledge
Studio
Service
Statistical
Dialog
Q&A
Qualification
Emotion
Analysis
Decision
Support
Criteria
Classification
Knowledge
Canvas
Decision
Optimization
Knowledge
Graph
Risk
Stratification
Policy
Identification
Answer
Generation
Usage
Insights
Fusion
Q&A
Video
Augmentation
Case
Evaluation
Factoid
Pipeline
2011
Overview Watson APIs