Artificial Intelligence (AI) isn't the easiest technology to understand but "Unscaled" does a phenomenal job demystifying it through the General Catalyst central investment philosophy and the results the VC firm has delivered.
Three trends will transform business by 2020 according to an IBM CTO:
1) Machine-to-machine technology and analytics will allow automated monitoring and analysis of data from instruments to gain insights.
2) Mobility will change how businesses interact with customers and employees through location-aware and personalized services.
3) Cognitive computing systems that learn from experiences will be able to handle large data flows and make complex decisions like predicting natural disasters.
Centurylink Business Technology in 2020 ebookJake Weaver
By 2020, technology experts foresee that computational power will become invisible in size due to advances in chip technology. This will allow any object to become a computer, requiring people to consider how to best use all of this intelligence. Three trends will transform business - machine-to-machine technology and analytics, mobility, and cognitive computing. Additionally, the last corporate data center is expected to shut its doors as cloud computing becomes the primary method for IT infrastructure and services.
Digital Futures Webinar with Amaze CSO Rick Curtis Jan 2014amazeplc
Amaze's Chief Strategy Officer, Rick Curtis gives his thoughts on what will be hot in digital over the next 24 months and beyond. Rick discussed the following areas:
• The trends that will change the way businesses function and how we live our lives through 2014 and beyond
• What businesses should be thinking about as they compete in the continually evolving technological landscape
• What businesses need to be doing in order to remain competitive in a future being driven by Connectivity, Context and Collaboration.
To view a recording of this webinar, please click here:
https://vimeo.com/amazeplc/review/83694979/18dc31fd96
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 and Big Data are two burgeoning technologies, full of promise for businesses in all industries. However, the real revolutionary potential of these two technologies is probably their convergence. Discover the possibilities offered by the alliance between Big Data and AI. “
source : www.lebigdata.fr
Inside Out and Upside Down - FOO Camp 2016 - Peter CoffeePeter Coffee
Four "truths" of IT are still true enough to yield ROI by pursuing their further development -- but you'll never realize how much you left on the table by failing to appreciate their transformation in a massively connected world.
Crowdsourced topic rankings at Snowforce 2017 in Salt Lake City drove this one-hour "Top 10" -- from evolving role of CIO, up through AI-leveraged connection, into a culture of innovation. (Peter Coffee, VP for Strategic Research at Salesforce)
The document discusses the nature of data driven service innovation. Some key points made include:
- Data driven service innovation aims to create new services by finding innovative uses of data, but this process is messy and experimental as requirements are poorly defined initially.
- Big data projects resemble research more than production, requiring agility to combine conventional project management with an ability to fail fast and learn from mistakes.
- The complexity of modern ICT systems makes perfect causal understanding impossible. We must acknowledge our ignorance and use a probe-sense-analyze-act approach.
- Developing services is challenging as the customer experience is co-created and hard to define formally. Operational staff closest to customers provide important insights.
Three trends will transform business by 2020 according to an IBM CTO:
1) Machine-to-machine technology and analytics will allow automated monitoring and analysis of data from instruments to gain insights.
2) Mobility will change how businesses interact with customers and employees through location-aware and personalized services.
3) Cognitive computing systems that learn from experiences will be able to handle large data flows and make complex decisions like predicting natural disasters.
Centurylink Business Technology in 2020 ebookJake Weaver
By 2020, technology experts foresee that computational power will become invisible in size due to advances in chip technology. This will allow any object to become a computer, requiring people to consider how to best use all of this intelligence. Three trends will transform business - machine-to-machine technology and analytics, mobility, and cognitive computing. Additionally, the last corporate data center is expected to shut its doors as cloud computing becomes the primary method for IT infrastructure and services.
Digital Futures Webinar with Amaze CSO Rick Curtis Jan 2014amazeplc
Amaze's Chief Strategy Officer, Rick Curtis gives his thoughts on what will be hot in digital over the next 24 months and beyond. Rick discussed the following areas:
• The trends that will change the way businesses function and how we live our lives through 2014 and beyond
• What businesses should be thinking about as they compete in the continually evolving technological landscape
• What businesses need to be doing in order to remain competitive in a future being driven by Connectivity, Context and Collaboration.
To view a recording of this webinar, please click here:
https://vimeo.com/amazeplc/review/83694979/18dc31fd96
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 and Big Data are two burgeoning technologies, full of promise for businesses in all industries. However, the real revolutionary potential of these two technologies is probably their convergence. Discover the possibilities offered by the alliance between Big Data and AI. “
source : www.lebigdata.fr
Inside Out and Upside Down - FOO Camp 2016 - Peter CoffeePeter Coffee
Four "truths" of IT are still true enough to yield ROI by pursuing their further development -- but you'll never realize how much you left on the table by failing to appreciate their transformation in a massively connected world.
Crowdsourced topic rankings at Snowforce 2017 in Salt Lake City drove this one-hour "Top 10" -- from evolving role of CIO, up through AI-leveraged connection, into a culture of innovation. (Peter Coffee, VP for Strategic Research at Salesforce)
The document discusses the nature of data driven service innovation. Some key points made include:
- Data driven service innovation aims to create new services by finding innovative uses of data, but this process is messy and experimental as requirements are poorly defined initially.
- Big data projects resemble research more than production, requiring agility to combine conventional project management with an ability to fail fast and learn from mistakes.
- The complexity of modern ICT systems makes perfect causal understanding impossible. We must acknowledge our ignorance and use a probe-sense-analyze-act approach.
- Developing services is challenging as the customer experience is co-created and hard to define formally. Operational staff closest to customers provide important insights.
1. Social media champions are struggling to reconcile its good and bad impacts on society, with concerns that it reduces empathy and harms civic discourse.
2. Emerging technologies like IoT and AI raise serious issues around privacy, security, and job disruption that require thoughtful policy solutions.
3. SXSW panels demonstrated a new maturity in exploring real challenges of technologies like VR, blockchain, and AI rather than just hype, with a focus on human-centered design and experimentation to understand societal impacts.
Booz Allen Hamilton created the Field Guide to Data Science to help organizations and missions understand how to make use of data as a resource. The Second Edition of the Field Guide, updated with new features and content, delivers our latest insights in a fast-changing field. http://bit.ly/1O78U42
The document discusses emerging technology trends that will impact accountants, including increased use of artificial intelligence, cloud computing, digital currencies, virtual offices and staff, and automation of IRS processes. It identifies security and the changing workforce as major issues to address. Technologies like blockchain, digital assistants, drones, and adaptive security architectures are predicted to become more common. The document advises accountants to understand current technology use, identify outdated tools, and capitalize on changing technologies to adapt to an increasingly digital environment.
Why Is Data Literacy Important For Any Business?Bernard Marr
The more data literate your organisation is, the better your results will be. In my work with companies all over the world, I see it every day that organisations that fail to boost data literacy of their employees will be left behind because they are not be able to fully use the vital business resource of data to their business advantage. In this post, I explore what data literacy is, why it's crucial for every business and ways to promote data literacy.
The Future of Information Services & TechnologyCognizant
In 2025 and beyond, the companies that control our data will rule. Here's how the tech industry will look in the next 15 years and the challenges it will need to overcome to get there.
The document discusses how emerging technologies like artificial intelligence, robotics, machine learning, and cognitive computing are transforming our data-driven world. It notes that data is growing exponentially and describes challenges around data uncertainty, ambiguity, and information overload. The document outlines popular use cases of data and analytics across industries and imagines how data could help various business leaders. It also discusses innovative applications of technologies like using fitness data for healthcare and crowdsourced traffic data for fleet management.
The document summarizes an interview with Douglas Van Praet on the future of market research. He argues that market research is missing empathy and an understanding of consumer emotions. It also needs to move beyond post-hoc rationalizations and understand unconscious motivations. Looking ahead, he sees the industry focusing more on cognitive and behavioral sciences to better understand customers. Research also needs to improve how it measures emotions and incorporates that into product development. Overall, Van Praet prefers speaking to consumers directly to read micro-expressions rather than focus groups.
1) The document discusses AI technology and startups, outlining different types of AI technologies including deep learning, machine learning, and predictive APIs.
2) It notes that while many startups claim to use AI, few actually succeed in achieving what they promise due to lack of a viable business idea or talent.
3) The document advocates for closer collaboration between startups and universities, with universities conducting foundational research and startups commercializing outcomes.
A review of the issues associated with prospective technological unemployment. This includes the outlook for universal income or guaranteed income funded by robot taxes. It also covers the U.S. fiscal capacity to undertake such a scheme.
Great Bigdata eBook giving a perspective of Bigdata Analytics Predictions for 2016. Learn about the milestones, landmarks and futures of this fast growing arena.
Living Services respond by
wrapping around us, constantly
learning more about our needs,
intents and preferences, so
that they can flex and adapt to
make themselves more relevant,
engaging and useful. Consumers
demand this now as the standards
are being set by the best of
breed across the entirety of their
experiences, not restricted by
sector—hence liquid expectations.
My presentation to the 2015 IoT Global Summit about keeping seniors healthier and happier, in their homes, through a combination of Internet of Things devices
The real human experience of the internet of things Fjord
The document discusses how computing is becoming embedded in everyday objects and the environment through the Internet of Things. This allows computing to understand speech, gestures, and context, and to make decisions and take actions. However, care must be taken to design these new technologies and services to be more human-centered. The key is to understand human needs, create open services, design around core needs, remove unnecessary interfaces, and allow the technology to disappear into the background of people's lives.
The document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines, especially computer programs, and using computers to understand human intelligence. It notes that AI is seen in recommender systems, virtual assistants, face and object recognition used by companies like YouTube, Facebook, Amazon, Google. The document also discusses machine learning, the Turing test, game playing, applications of AI in healthcare like genome editing and nanobots, using AI for social good like reducing pollution and crime, and potential problems like unemployment and threats to privacy.
Behind the Slow Growth of AI: Failed Moonshots, Unprofitable Startups, Error...Jeffrey Funk
Smaller than expected markets, money-losing startups, failure of Watson, slow-diffusion of self-driving vehicles and medical imaging, and scorching criticisms of Google’s research papers are some of the examples used to characterize the hype of AI. There are some successes, but they are much smaller than the predictions, with advertising, news, and e-commerce having the biggest success stories. Looking forward, #AI will augment not replace workers just as past technologies did on farms, factories, and offices. Robotic process automation and natural language processing are likely to play important roles in this augmentation with #RPA automating repetitive work, natural language processing categorizing information, and RPA also putting the information in the right bins for engineers, accountants, researchers, journalists, and lawyers. The big challenges include exponentially rising demands on computers for high accuracies in images, a slowdown in supercomputer improvements, datasets riddled with errors, and reproducibility problems. See either this podcast or my slides, whose URL is shown in comments. #technolgy #innovation #venturecapital #ipo #artificialintelligence
This document discusses the exponential rate of technological progress and its impact on various aspects of life. It notes that advances in areas like artificial intelligence, robotics, and biotechnology are converging and multiplying, accelerating the overall pace of change. Examples are given of technologies like self-driving cars, mobile payment systems, and digital assistants that would have seemed futuristic just a few years ago but are now commonplace. The document warns that this rapid change will significantly disrupt many industries and jobs but that it also creates new opportunities. It emphasizes that an "exponential thinking" mindset is needed to understand and benefit from the changes brought by living in an "exponential age."
This document provides an overview of artificial intelligence and how companies can leverage different types of AI. It discusses assisted intelligence which improves existing processes, augmented intelligence which enables new capabilities, and autonomous intelligence which allows machines to act independently. The document uses examples like agricultural apps that maximize crop yields, Netflix's personalized recommendations, and how AI is being applied in areas like healthcare, transportation, science and more. It emphasizes that while AI adoption is still in early stages, it will fundamentally change many industries and jobs over the coming years.
Many questions arise around this topic: What is Artificial Intelligence and what isn't? What is possible today? How can my organisation use AI? Will this replace my job? What can we expect in the future?
We will answer these and more in our presentation. We help you understand the impact of digital on your business and give you concrete steps to start taking action.
- Around 23 million people in the UK have experienced a life shock such as illness, job loss, or relationship breakdown in the past two years, and those who experienced a life shock were three times as likely to be in problem debt.
- Current support mechanisms are insufficient, as many people, even those still employed, cannot build financial protections against common life shocks.
- There is a need for policymakers to prioritize this issue and work with organizations to identify how to improve support and break the link between life shocks and problem debt.
centurylink-business-technology-2020-ebook-br141403Pam Andersen, MBA
Three trends will transform business by 2020 according to an IBM CTO:
1) Machine-to-machine technology and analytics will allow automated monitoring and analysis of data from instruments to gain insights.
2) Mobility will change how businesses interact with customers through location-aware and personalized services on mobile devices.
3) Cognitive computing systems that learn from experiences will be able to handle large data flows and make complex decisions like predicting natural disasters.
This document presents a maturity model for artificial intelligence adoption in enterprises. It outlines four stages of maturity: exploring, experimenting, formalizing, and integrating. It also discusses four macro trends affecting AI success: the shift from screen-based to sensory interactions; from rules-based to probabilistic decision making; from data analytics to data engineering; and from expertise-driven to data-driven leadership. Key aspects of maturity include having a data strategy, using AI in product development, establishing ethics principles, and integrating AI throughout the organization.
This document outlines Sacha Vekeman's 2015 sales kickoff presentation. The presentation covered:
1. Trends from 1995 to the present and projections to 2035 regarding technology adoption and the growth of internet users and public cloud spending.
2. Expectations for emerging technologies like the internet of things, wearable devices, and connected cars to drive further connectivity between people, infrastructure, and data.
3. The opportunities and realities of big data and IoT, including challenges around integration, business models, and the need for ongoing services.
4. Examples of companies disrupting industries and working at the boundaries of markets to achieve success, and how Interoute can support entrepreneurs in a similar vein
1. Social media champions are struggling to reconcile its good and bad impacts on society, with concerns that it reduces empathy and harms civic discourse.
2. Emerging technologies like IoT and AI raise serious issues around privacy, security, and job disruption that require thoughtful policy solutions.
3. SXSW panels demonstrated a new maturity in exploring real challenges of technologies like VR, blockchain, and AI rather than just hype, with a focus on human-centered design and experimentation to understand societal impacts.
Booz Allen Hamilton created the Field Guide to Data Science to help organizations and missions understand how to make use of data as a resource. The Second Edition of the Field Guide, updated with new features and content, delivers our latest insights in a fast-changing field. http://bit.ly/1O78U42
The document discusses emerging technology trends that will impact accountants, including increased use of artificial intelligence, cloud computing, digital currencies, virtual offices and staff, and automation of IRS processes. It identifies security and the changing workforce as major issues to address. Technologies like blockchain, digital assistants, drones, and adaptive security architectures are predicted to become more common. The document advises accountants to understand current technology use, identify outdated tools, and capitalize on changing technologies to adapt to an increasingly digital environment.
Why Is Data Literacy Important For Any Business?Bernard Marr
The more data literate your organisation is, the better your results will be. In my work with companies all over the world, I see it every day that organisations that fail to boost data literacy of their employees will be left behind because they are not be able to fully use the vital business resource of data to their business advantage. In this post, I explore what data literacy is, why it's crucial for every business and ways to promote data literacy.
The Future of Information Services & TechnologyCognizant
In 2025 and beyond, the companies that control our data will rule. Here's how the tech industry will look in the next 15 years and the challenges it will need to overcome to get there.
The document discusses how emerging technologies like artificial intelligence, robotics, machine learning, and cognitive computing are transforming our data-driven world. It notes that data is growing exponentially and describes challenges around data uncertainty, ambiguity, and information overload. The document outlines popular use cases of data and analytics across industries and imagines how data could help various business leaders. It also discusses innovative applications of technologies like using fitness data for healthcare and crowdsourced traffic data for fleet management.
The document summarizes an interview with Douglas Van Praet on the future of market research. He argues that market research is missing empathy and an understanding of consumer emotions. It also needs to move beyond post-hoc rationalizations and understand unconscious motivations. Looking ahead, he sees the industry focusing more on cognitive and behavioral sciences to better understand customers. Research also needs to improve how it measures emotions and incorporates that into product development. Overall, Van Praet prefers speaking to consumers directly to read micro-expressions rather than focus groups.
1) The document discusses AI technology and startups, outlining different types of AI technologies including deep learning, machine learning, and predictive APIs.
2) It notes that while many startups claim to use AI, few actually succeed in achieving what they promise due to lack of a viable business idea or talent.
3) The document advocates for closer collaboration between startups and universities, with universities conducting foundational research and startups commercializing outcomes.
A review of the issues associated with prospective technological unemployment. This includes the outlook for universal income or guaranteed income funded by robot taxes. It also covers the U.S. fiscal capacity to undertake such a scheme.
Great Bigdata eBook giving a perspective of Bigdata Analytics Predictions for 2016. Learn about the milestones, landmarks and futures of this fast growing arena.
Living Services respond by
wrapping around us, constantly
learning more about our needs,
intents and preferences, so
that they can flex and adapt to
make themselves more relevant,
engaging and useful. Consumers
demand this now as the standards
are being set by the best of
breed across the entirety of their
experiences, not restricted by
sector—hence liquid expectations.
My presentation to the 2015 IoT Global Summit about keeping seniors healthier and happier, in their homes, through a combination of Internet of Things devices
The real human experience of the internet of things Fjord
The document discusses how computing is becoming embedded in everyday objects and the environment through the Internet of Things. This allows computing to understand speech, gestures, and context, and to make decisions and take actions. However, care must be taken to design these new technologies and services to be more human-centered. The key is to understand human needs, create open services, design around core needs, remove unnecessary interfaces, and allow the technology to disappear into the background of people's lives.
The document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines, especially computer programs, and using computers to understand human intelligence. It notes that AI is seen in recommender systems, virtual assistants, face and object recognition used by companies like YouTube, Facebook, Amazon, Google. The document also discusses machine learning, the Turing test, game playing, applications of AI in healthcare like genome editing and nanobots, using AI for social good like reducing pollution and crime, and potential problems like unemployment and threats to privacy.
Behind the Slow Growth of AI: Failed Moonshots, Unprofitable Startups, Error...Jeffrey Funk
Smaller than expected markets, money-losing startups, failure of Watson, slow-diffusion of self-driving vehicles and medical imaging, and scorching criticisms of Google’s research papers are some of the examples used to characterize the hype of AI. There are some successes, but they are much smaller than the predictions, with advertising, news, and e-commerce having the biggest success stories. Looking forward, #AI will augment not replace workers just as past technologies did on farms, factories, and offices. Robotic process automation and natural language processing are likely to play important roles in this augmentation with #RPA automating repetitive work, natural language processing categorizing information, and RPA also putting the information in the right bins for engineers, accountants, researchers, journalists, and lawyers. The big challenges include exponentially rising demands on computers for high accuracies in images, a slowdown in supercomputer improvements, datasets riddled with errors, and reproducibility problems. See either this podcast or my slides, whose URL is shown in comments. #technolgy #innovation #venturecapital #ipo #artificialintelligence
This document discusses the exponential rate of technological progress and its impact on various aspects of life. It notes that advances in areas like artificial intelligence, robotics, and biotechnology are converging and multiplying, accelerating the overall pace of change. Examples are given of technologies like self-driving cars, mobile payment systems, and digital assistants that would have seemed futuristic just a few years ago but are now commonplace. The document warns that this rapid change will significantly disrupt many industries and jobs but that it also creates new opportunities. It emphasizes that an "exponential thinking" mindset is needed to understand and benefit from the changes brought by living in an "exponential age."
This document provides an overview of artificial intelligence and how companies can leverage different types of AI. It discusses assisted intelligence which improves existing processes, augmented intelligence which enables new capabilities, and autonomous intelligence which allows machines to act independently. The document uses examples like agricultural apps that maximize crop yields, Netflix's personalized recommendations, and how AI is being applied in areas like healthcare, transportation, science and more. It emphasizes that while AI adoption is still in early stages, it will fundamentally change many industries and jobs over the coming years.
Many questions arise around this topic: What is Artificial Intelligence and what isn't? What is possible today? How can my organisation use AI? Will this replace my job? What can we expect in the future?
We will answer these and more in our presentation. We help you understand the impact of digital on your business and give you concrete steps to start taking action.
- Around 23 million people in the UK have experienced a life shock such as illness, job loss, or relationship breakdown in the past two years, and those who experienced a life shock were three times as likely to be in problem debt.
- Current support mechanisms are insufficient, as many people, even those still employed, cannot build financial protections against common life shocks.
- There is a need for policymakers to prioritize this issue and work with organizations to identify how to improve support and break the link between life shocks and problem debt.
centurylink-business-technology-2020-ebook-br141403Pam Andersen, MBA
Three trends will transform business by 2020 according to an IBM CTO:
1) Machine-to-machine technology and analytics will allow automated monitoring and analysis of data from instruments to gain insights.
2) Mobility will change how businesses interact with customers through location-aware and personalized services on mobile devices.
3) Cognitive computing systems that learn from experiences will be able to handle large data flows and make complex decisions like predicting natural disasters.
This document presents a maturity model for artificial intelligence adoption in enterprises. It outlines four stages of maturity: exploring, experimenting, formalizing, and integrating. It also discusses four macro trends affecting AI success: the shift from screen-based to sensory interactions; from rules-based to probabilistic decision making; from data analytics to data engineering; and from expertise-driven to data-driven leadership. Key aspects of maturity include having a data strategy, using AI in product development, establishing ethics principles, and integrating AI throughout the organization.
This document outlines Sacha Vekeman's 2015 sales kickoff presentation. The presentation covered:
1. Trends from 1995 to the present and projections to 2035 regarding technology adoption and the growth of internet users and public cloud spending.
2. Expectations for emerging technologies like the internet of things, wearable devices, and connected cars to drive further connectivity between people, infrastructure, and data.
3. The opportunities and realities of big data and IoT, including challenges around integration, business models, and the need for ongoing services.
4. Examples of companies disrupting industries and working at the boundaries of markets to achieve success, and how Interoute can support entrepreneurs in a similar vein
Artificial Intelligence A Study of Automation, and Its Impact on Data Scienceijtsrd
AI is changing the exceptionally nature of work and information science is no special case. Will the more high demand specialized aptitudes of nowadays be required ten a long time from presently. How will the information science teach advance to meet the trade needs of a commercial center with ever increasing applications of AI. Mussaratjahan Korpali | Akshata Walikar | Kaveri Parshuram Vijapur "Artificial Intelligence: A Study of Automation, and Its Impact on Data Science" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-2 , February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49316.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/49316/artificial-intelligence-a-study-of-automation-and-its-impact-on-data-science/mussaratjahan-korpali
Cognizant Community Europe 2017: Mastering Digital: Navigating the Shift to t...Cognizant
Executives gathered at Cognizant’s flagship European thought leadership conference heard how digital technologies in general and AI in particular are poised to generate significant economic growth.
A somewhat longer version of my Frontiers talk about technology and the future of the economy, with additional material pitched to an audience of Internet operators at Apricot 2017, in Ho Chi Minh City, Vietnam on February 27, 2017
Our Guide to Digital disruption Update 2019John Ashcroft
This document discusses digital disruption and its causes. It identifies six global forces shaping digital disruption: 1) increasing connectivity through mobile phones and other devices, 2) the growing number of connected devices and emergence of the internet of things, 3) exponential growth in data creation and need for data storage, 4) lower barriers to market participation. These forces are accelerating changes in business models and challenging traditional companies through new entrants like Uber and Airbnb.
power point presentation on 'Internet of things' by Utkarsh Sinh currently pursuing B.tech in Electronics & Instrumentation Engineering at IIT(ISM) Dhanbad. all the FAQs regarding it has been answered here.Amazon Alexa popular among it is also discussed on this ppt.
Managing Future Impacts of Artificial Narrow, General, and Super Intelligence...Jerome Glenn
Reviews Millennium Project's Work/Technology 2050: Scenarios and Actions plus preparations for an international assessment for global governance of the transition from artificial narrow intelligence to artificial general intelligence
In this Whitepaper Dennis Curry explores the impact of the Internet of Things on the corporate environment, highlighting the importance of building intuitive associations in disparate and highly complex data.
This document provides an overview of 5 technology trends to watch in 2015 according to the Consumer Electronics Association (CEA). It summarizes each trend in 1-2 sentences:
1. Big Data Analytics - With the rise of sensors, devices and digital connectivity, massive amounts of data are being collected and analyzed to provide predictive insights.
2. Digital Health and the Quantified Self - Technologies like wearables, apps and remote monitoring devices allow people to quantify biological metrics to track health and fitness.
3. Entertainment and Immersive Content - Advances in displays, processing power and connectivity enable new immersive entertainment experiences through virtual and augmented reality.
4. The Rise of the Machines - Robot
Brown Advisory recently held a client forum called NOW 2016 to explore issues around disruption in technology and other fields. Speakers discussed advances in areas like genetic engineering, drone technology, and digital business models, but also cautioned that institutions need to adapt quickly to ensure equality and societal well-being amid rapid change. Three companies - Amazon, Microsoft, and Google - were highlighted as dominating the growing cloud computing industry by committing billions to infrastructure and demonstrating the reliability and security of cloud services.
Artificial intelligence is being increasingly used by governments for surveillance through tools like facial recognition, smart cities, and policing. Over 75 countries use AI for surveillance, with China having the largest implementation that collects facial data from cameras. AI is also impacting economies by automating many jobs and potentially exacerbating wealth inequality. It could create new jobs but may replace workers and reduce tax revenue. The future effects of AI are uncertain but it is rapidly transforming society and influencing various industries and how we interact with technology. Governments are also using social media data and personality profiles to target political ads and influence elections.
This document discusses how data is transforming the way businesses operate and people live through the emergence of Big Data. It explains that raw data needs to be analyzed and given meaning to have value. It describes how data comes from connected devices, is analyzed by data scientists and programmers, and how open sharing of data is important. It outlines opportunities for businesses to gain insights from large, complex data sets and how data can automate tasks, customize experiences, and improve lives when given meaning for people.
3 e shock 2020 how the digital technology revolution is changing business and...BiniClick
This document discusses how digital technology is revolutionizing business and daily life. It outlines the rapid progression from mainframes to mobile/cloud computing. By 2020, digital technologies are expected to transform how we communicate, work, shop, and live to an even greater degree. People have become highly dependent on digital devices and expect round-the-clock access. Voice command and artificial intelligence technologies may soon allow people to control devices and access information without screens. However, this rising dependency on computers also risks them gaining more control over how humans live, learn, and make decisions.
The document discusses a WPP event about the Internet of Things (IoT). It provides summaries of presentations by various speakers at the event about implications and opportunities of IoT for businesses and consumers. Key points discussed include how IoT will change retail, consumer expectations, privacy concerns, opportunities for data-driven personalization, and implications for jobs as things become smarter.
Siciety 5.0_challenges in Super Smart Society .pptxAnilDongre8
1. The document discusses some of the challenges and opportunities of Society 5.0, including advances in robotics, artificial intelligence, 3D printing, and other emerging technologies that will transform industries over the next 5 to 10 years.
2. Key technologies discussed include artificial intelligence, robotics, big data, cloud computing, augmented reality, and more. The document provides examples of how these technologies will impact various sectors such as law, manufacturing, healthcare, transportation, energy, and more.
3. The document also discusses new types of jobs and industries that may emerge as a result of technological changes, such as software developers, blockchain jobs, virtual reality jobs, data protection jobs, gene editors, and data brokers.
What Internet Operations Teach Us About the Future of ManagementAPNIC
The document discusses how technology is changing the nature of work and the global economy. It argues that 47% of jobs are at risk of automation in the next 20 years. However, it also notes that technology can help solve major problems like climate change and help rebuild infrastructure. The document discusses how algorithms are increasingly managing human tasks and decisions, with implications for how companies and governments are organized. It argues we must ensure technology augments rather than replaces humans, and that regulation needs to focus on outcomes rather than rules to keep up with the pace of technological change.
Similar to Demystifying AI via Top 10 Key Takeaways of "Unscaled" by Hemant Taneja (20)
"Going to the Cloud" personifies "Smarter, Faster, Cheaper" + enables CMOs to...Alec Coughlin
Simplifying a somewhat abstract concept via a lightweight POV about 3 simple ways to capitalize on "going to the cloud" and enabling CMOs to launch a $100M business in ways they otherwise haven't been able to until now.
What is an api, why should you care + the curse of knowledgeAlec Coughlin
De-mystifying one of the most significant technology levers that can deliver innovation at scale to help the business community get up to speed on what the IT/Creative Technology community is already very excited about, embracing etc.
The document summarizes the top 10 key takeaways from the Money 2020 conference held from October 21-24th in Las Vegas. It discusses transformational trends in digital business and challenges in financial services. The top takeaways focus on disrupting products/services, shifting from product selling to ongoing customer experiences, the importance of leadership's technology skills, and eroding trust in institutions. It also notes some topics that could have been covered more.
Robotic Process Automation (RPA)_Harvesting a Competitive AdvantageAlec Coughlin
Quick overview of #RPA to demystify the emerging technology that's gaining tremendous momentum within F1000 businesses eager to reduce costs, improve processes, de-risk efforts and unleash people to focus more of their time on "Super Human" work (i.e. Creativity, Innovation, Insights to Actions etc).
DigIn 2018 is one of the leading conferences focused on Digital Insurance insights, ideas and best practices. Insurance is on the cusp of disruption and I wanted to share my top 5 key takeaways.
SapientRazorfish: "Return on Experience"(RoX) OverviewAlec Coughlin
A big part of Digital Transformation is enabling F1000 companies to Compete on Customer Experience. RoX is a framework to evaluate the collective experience of your customers across analog, digital and hybrid touchpoint along with the methodology to improve your RoX score over time. Delivering significant ROI at the top and bottomline.
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Holger Mueller of Constellation Research shares his key takeaways from SAP's Sapphire confernece, held in Orlando, June 3rd till 5th 2024, in the Orange Convention Center.
Navigating the world of forex trading can be challenging, especially for beginners. To help you make an informed decision, we have comprehensively compared the best forex brokers in India for 2024. This article, reviewed by Top Forex Brokers Review, will cover featured award winners, the best forex brokers, featured offers, the best copy trading platforms, the best forex brokers for beginners, the best MetaTrader brokers, and recently updated reviews. We will focus on FP Markets, Black Bull, EightCap, IC Markets, and Octa.
[To download this presentation, visit:
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This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
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Digital Marketing best practices including influencer marketing, content creators, and omnichannel marketing for Sustainable Brands at the Sustainable Cosmetics Summit 2024 in New York
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The Radar reflects input from APCO’s teams located around the world. It distils a host of interconnected events and trends into insights to inform operational and strategic decisions. Issues covered in this edition include:
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Part 2 Deep Dive: Navigating the 2024 Slowdownjeffkluth1
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Storytelling is an incredibly valuable tool to share data and information. To get the most impact from stories there are a number of key ingredients. These are based on science and human nature. Using these elements in a story you can deliver information impactfully, ensure action and drive change.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This PowerPoint compilation offers a comprehensive overview of 20 leading innovation management frameworks and methodologies, selected for their broad applicability across various industries and organizational contexts. These frameworks are valuable resources for a wide range of users, including business professionals, educators, and consultants.
Each framework is presented with visually engaging diagrams and templates, ensuring the content is both informative and appealing. While this compilation is thorough, please note that the slides are intended as supplementary resources and may not be sufficient for standalone instructional purposes.
This compilation is ideal for anyone looking to enhance their understanding of innovation management and drive meaningful change within their organization. Whether you aim to improve product development processes, enhance customer experiences, or drive digital transformation, these frameworks offer valuable insights and tools to help you achieve your goals.
INCLUDED FRAMEWORKS/MODELS:
1. Stanford’s Design Thinking
2. IDEO’s Human-Centered Design
3. Strategyzer’s Business Model Innovation
4. Lean Startup Methodology
5. Agile Innovation Framework
6. Doblin’s Ten Types of Innovation
7. McKinsey’s Three Horizons of Growth
8. Customer Journey Map
9. Christensen’s Disruptive Innovation Theory
10. Blue Ocean Strategy
11. Strategyn’s Jobs-To-Be-Done (JTBD) Framework with Job Map
12. Design Sprint Framework
13. The Double Diamond
14. Lean Six Sigma DMAIC
15. TRIZ Problem-Solving Framework
16. Edward de Bono’s Six Thinking Hats
17. Stage-Gate Model
18. Toyota’s Six Steps of Kaizen
19. Microsoft’s Digital Transformation Framework
20. Design for Six Sigma (DFSS)
To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations
3. 3
“Unscaled”
Top 10 Key
Takeaways
“ D a t a i s t h e r a w f u e l , A I t r a n s f o r m s
i t i n t o s o m e t h i n g u s e f u l a n d
a c c e s s i b l e ”
“ A I a u t o m a t e s l e a r n i n g a n d
c u s t o m i z a t i o n f o r m a r k e t s o f 1 , a t
s c a l e ”
“ A I i s t h i s c e n t u r y ’ s e l e c t r i c i t y ”
” W e ’ v e g o n e f r o m ‘ S o f t w a r e e a t i n g
t h e w o r l d ’ t o ‘ E v e r y t h i n g i s
i n g e s t i n g s o f t w a r e ’ ”
“ S o m u c h o f w h a t w e n o w d o c r e a t e s
d a t a ”
5
4
3
2
1
4. 4
“Unscaled”
Top 10 Key
Takeaways
“ A m a z o n ’ s ‘ D a y 1 ’ d o c t r i n e i s a g o o d
n o r t h s t a r f o r F 1 0 0 0 c o m p a n i e s ”
“ W h a t h a p p e n s w h e n y o u r f i n a n c e s
a r e s e l f - d r i v i n g ? ”
“ T h e ‘ t e c h i s a l l h e r e ’ ”
10 “ F o c u s o n ‘ s u p e r h u m a n ’ s t u f f t o
a v o i d p e n d i n g A I a u t o m a t i o n ”
“ T h e q u a l i t y o f y o u r f e e d b a c k
l o o p i s c r i t i c a l a k a s p e e d k i l l s ”
9
8
7
6
5. 5
“AI is this
century ’s
electricity.”
“We went through a similarly grand revolution in the early twentieth century
when the telegraph, telephone, television, automobile, airplane and mass
electrification vaulted the planet from a slow and local way of life to one that
is fast and global. No one who lived in the late 1800s would have recognized
the world of the 1920s.”
“Economist Carlota Perez describes the impact of such revolutions in her
influential book Technological Revolutions and Financial Capital: ‘When a
technological revolution irrupts in the scene, it does not just add some
dynamic new industries to the previous production structure. It provides the
means for modernizing all the existing industries and activities.’”
1
- “ U n s c a l e d ” ( p g . 1 8 )
6. 6
“AI automates
learning and
customization
for markets of
1, at scale.”
“AI allows the profitable customization of everything – because AI can
automate customization. Think about it: people have always had products
and services tailored just to them, but if humans need to do the tailoring, it
takes a great deal of time and labor.”
“So custom-made products or a personalized service like having your own
driver can only be offered profitably if they cost a lot – too much for mass
market customers to afford. Mechanized factories pay off because they
can make a lot of the exact same item quickly and cheaply.”
“But AI is different: AI automates learning about each individual customer
or user, and then software can automatically tailor a product or service to
them.”
2
- “ U n s c a l e d ” ( p g . 3 3 - 3 4 )
7. 7
“Data is the raw
fuel, AI
transforms it
into something
useful and
accessible.”
“All this IoT activity is generating enormous amounts of data about energy
usage – information no one ever had before. These insights will play an
important role in unscaling. Just as data about retail transactions or social
networks has helped entrepreneurs customize products and target small
units of demand, the same will happen in energy. The data will guide
innovators to new markets and new kinds of products in energy.”
“Because AI is software that can learn, an AI system can take in data about
you, get to know you, and identify patterns in your health. As more
information comes in – say, from IoT devices monitoring your heart rate or
blood glucose – AI software can look for changes that suggest you might
be getting sick. The system will catch illness early, when they’re easier to
treat.”
3
- “ U n s c a l e d ” ( p g . 6 4 + 8 2 )
8. 8
“So much
of what we
now do
creates
data.”
“On a phone you can download apps that connect through a nearly ubiquitous high-
speed wireless network to powerful software hosted in a data center somewhere. Those
apps deliver social networking, chat, email, shopping, media, and services such as Uber
or AirBnB. Super-accurate GPS maps guide you anywhere. The phone can hold your
music and books. It can let you watch live sports. Enterprise apps from companies such
as Salesforce.com allow you to do your job from a phone screen almost anywhere in the
world. Mobile content, community, and commerce have quickly become a way of life.
We can’t imagine getting through the day without this technology. How strange to think
that just a decade before, none of this was possible.”
“So we spent a decade connecting people and moving a great deal of our activities
online, where every action generates data. Then, in recent years, industry jacked up the
planetwide data-generation machine by implementing the Internet of Things (IoT), which
puts “things”, not just people on the global network. Those things might be video
cameras or heat sensors, FitBit health monitors or GPS tags on endangered animals.
According to analyst firm IDC, there were already 9 billion connected devices in place in
2015, but that will grow to 30 billion by 2020 and 80 billion by 2025.”
4
- “ U n s c a l e d ” ( p g . 2 9 )
9. 9
“We’ve gone
from ‘Software
eating the world’
to ‘Everything is
ingesting
software.’”
“But in the 2010s and beyond, the world is eating software – everything is
ingesting software, becoming smart and connecting to the global internet.”
“The IoT explosion will give us an astonishing flow of data, opening
possibilities for AI to conduct deep analysis of how the world works. IoT is
giving us instant, real-time views, as if we are hooking up the planet to an
EKG and watching its heart beat.”
“AI is all about discerning patterns in data, predicting behaviors, and deciding
on actions. With little data coming in, AI is like a baby’s brain – all the smarts
are in place, but it has too little knowledge of the world to understand what’s
going on or to know that, say, pulling the cat’s tail will get you scratched.”
So, like a brain, as AI gets exposed to greater amounts of data, it can see
patterns and predict behaviors with greater accuracy. The more data coming
in, the better AI gets.”
5
- “ U n s c a l e d ” ( p g . 3 0 - 3 1 )
10. 10
“ The quality
of your
feedback
loop is
critical aka
speed kills.”
“’We feel like it has a strong potential to address the problem of physician burnout and
the challenge of being mired in data and not actually having synthesized knowledge,’
says William Morris, the Cleveland Clinic’s associate chief information officer.”
“Over time, AI systems such as Watson will be able to get to know patients while
constantly reading and learning more about medicine, leading to better and better
answers for the doctors who consult with it. Anyone running a modern hospital will be
charged with figuring out how to make data course through the hallways and operating
rooms and how to turn that data into better care.”
“‘As a computer science guy, I see that the way doctors operate today is like expert-
systems software,’ Color’s Laraki says. ’They rely on a decision tree that we make simple
enough to fit into the average smart person’s brain. We load it up in medical school. But
later, its decisions are based on a limited set of inputs and complexity.’ The opportunity
and upside now is that the doctor, working hand in hand with AI-driven systems, will be
able to access a level of data and medical knowledge that would never fit inside one
person’s head. ‘The doctor becomes less like someone using a rare superpower and
more like a data practitioner,’ Laraki says.”
6
- “ U n s c a l e d ” ( p g . 3 0 - 3 1 )
11. 11
“What happens
when your
finances are
‘self-driving ’”?
“Bloch believes Digit will be a net benefit to individuals and even to society
as a whole. ‘What happens when your finances are self-driving?’ he notes.
For one thing, people with Digit avoid overdraft and late fees, each adding
up to around $20 billion a year in revenue for banks – most of it paid by
those who can least afford it.”
“‘Think about the mental productivity lost by trying to figure out which bill
to pay and how much, and how to make this other payment, and realizing
you missed a payment,’ Bloch says. ‘All of that can be gone because
everything’s getting paid at the right time for the right amount. What
happens to all that mental productivity we’ll be given back? We’d already
be on Mars if we had that!’”
7
- “ U n s c a l e d ” ( p g . 1 1 1 )
12. 12
“ The ‘tech is all
here’”
“That’s not to say every corporation must become a platform or perish.
But a successful platform strategy looks like a path to growth in the
unscaled era. Platforms can be enormously profitable and enduring
because a whole ecosystem of companies comes to depend on the
platform for their success.”
“This is why the AWS cloud platform has become the profit engine for
Amazon, with operating margins of 23.5 percent, compared to about 3.5
percent for the Amazon retail business.”
8
- “ U n s c a l e d ” ( p g . 1 7 7 )
13. 13
“Amazon’s
‘Day 1’
doctrine is
a good
northstar
for F1000
companies.”
“In early 2017 Amazon CEO Jeff Bezos published a letter to shareholders about a
concept he called ‘Day 1.’ As he wrote, ‘I’ve been reminding people that it’s Day 1 for a
couple decades’ – which is nearly the entire time Amazon has been in existence.”
“Day 1, Bezos wrote, is about constantly creating new, nimble, product-focused
businesses inside Amazon – businesses that can be quickly built on top of Amazon’s
corporate platform and feel like they are in the first day of life. To Bezos, Day 2 is when
a business gets bogged down inside its own scale.”
“He offered four points that he considers a ’starter pack of essentials for Day 1 defense.’
The first is ‘true customer obsession.’ In this unscaled era the products that win make
you feel like a market of one. Bezos second tactic is ‘resist proxies.’ Scaled companies
can get lost managing things that don’t matter. One example is process. His third point:
‘embrace external trends.’ As Bezos notes, ‘The big trends are not that hard to spot
(they get talked and written about a lot), but they can be strangely hard for large
organizations to embrace.’ The final Day 1 point is about ‘high-velocity decision making.’
Executives feel they need a ton of input and information before making a decision. All
that leads to stagnation and the onset of Day 2.”
9
- “ U n s c a l e d ” ( p g . 1 8 1 - 1 8 2 )
14. 14
“Focus on
‘super human’
stuff to avoid
pending AI
automation.”
“Successful people in the AI century will focus on work that takes advantage of
unique human strengths, like social interaction, creative thinking, decision making
with complex inputs, empathy, and questioning. AI cannot think about data it
doesn’t have; it predicts what you want to see on Facebook based on what you’ve
already liked. It can’t predict that you might like something that’s entirely out of
left field – something that seems incongruous with your past patterns. Only
humans can think that creatively. As author Kevin Kelly says, the most valuable
people in an age of push-button answers will be those that ask the most
interesting questions.”
“AI’s proponents say it will collaborate with us, not compete against us. So I
believe the most successful, influential people of the next twenty years will be
those who understand how to partner with AI. The technology can seem scary,
but it is the most powerful tool humanity has ever built.”
“This is my chief career advice to anyone: learn how to use AI to help you
accomplish your dreams.”
10
- “ U n s c a l e d ” ( p g . 1 9 1 - 1 9 2 )