How Artificial Intelligence, combined with the Internet of Things, coupled with Big Data is changing our world. Presented at the Wyoming Global Technology Summit, in Jackson Hole, WY, Sept 2017
AI & IoT & Big Data Combined Impacts - Wyoming Global Technology SummitKarl Seiler
Karl Seiler's presentation on Artificial Intelligence, Big Data and the Internet of Thing's Combined Impacts. Presented by invitation of Governor Mead at the Wyoming Global Technology Summit, in Jackson Hole, WY on September 21st 2017.
The document discusses the major impacts of emerging technologies like the Internet of Things (IoT) and artificial intelligence. It notes that IoT is connecting over 50 billion devices by 2020 and will have multi-trillion dollar impacts on businesses and cities. Artificial intelligence is also rapidly advancing and being applied across industries like vision, speech, and automation. However, some experts like Bill Gates and Stephen Hawking have expressed concerns about potential risks if artificial superintelligence emerges and humans cannot control it.
Presented at University of Central Florida, Department of Statistics Colloquium on March 2017. Focus on the disruptive change driven by technical innovations. IoT as a major disruptor. AI and Machine Learnings role in the IoT disruption. The importance of core algorithms and statistical expertise in AI / ML.
A presentation given to the University of Central Florida Dept Industrial Organizational Psychology, on Jan 12th, 2018. Covers the what why and how of AI, machine learning, Deep Learning and its coming impact to Transportation, healthcare, and use all.
State of IoT - A Survey (voice Powerpoint download) Karl Seiler
IoT state of the art - survey of IoT and its impact on Big Data - Presented for the Big Data Florida / Central Florida Machine Learning event at Florida Institute of Technology on Feb 13th 2017 by Karl Seiler
The document discusses the growth of the Internet of Things (IoT) and its potential impact. It notes that the number of connected devices is predicted to reach 25-30 billion by 2020. The key building blocks of IoT are described as things, connectivity, global networks, intelligence, and management. Security is highlighted as an "unknown unknown" due to the many different companies involved in supplying IoT services. The document suggests that customers will realize business value from IoT by enabling managed connectivity across devices globally.
FIWARE Global Summit - The Smart City Program in Japan: Cities as Enablers of...FIWARE
Presentation by Kenji Hiramoto
Chief Strategist (IT), Cabinet Secretariat, Government of Japan
FIWARE Global Summit
23-24 October 2019 - Berlin, Germany
Creativity: the human tool in the age of intelligent machines Roberto Siagri
Digitization and technology is demanding more creativity.
In the Age of Software Defined Machines and Big Data human creativity is becoming one of the most important skill. Presentation for the 7th Italian-Slovenian Forum in Lublijana
AI & IoT & Big Data Combined Impacts - Wyoming Global Technology SummitKarl Seiler
Karl Seiler's presentation on Artificial Intelligence, Big Data and the Internet of Thing's Combined Impacts. Presented by invitation of Governor Mead at the Wyoming Global Technology Summit, in Jackson Hole, WY on September 21st 2017.
The document discusses the major impacts of emerging technologies like the Internet of Things (IoT) and artificial intelligence. It notes that IoT is connecting over 50 billion devices by 2020 and will have multi-trillion dollar impacts on businesses and cities. Artificial intelligence is also rapidly advancing and being applied across industries like vision, speech, and automation. However, some experts like Bill Gates and Stephen Hawking have expressed concerns about potential risks if artificial superintelligence emerges and humans cannot control it.
Presented at University of Central Florida, Department of Statistics Colloquium on March 2017. Focus on the disruptive change driven by technical innovations. IoT as a major disruptor. AI and Machine Learnings role in the IoT disruption. The importance of core algorithms and statistical expertise in AI / ML.
A presentation given to the University of Central Florida Dept Industrial Organizational Psychology, on Jan 12th, 2018. Covers the what why and how of AI, machine learning, Deep Learning and its coming impact to Transportation, healthcare, and use all.
State of IoT - A Survey (voice Powerpoint download) Karl Seiler
IoT state of the art - survey of IoT and its impact on Big Data - Presented for the Big Data Florida / Central Florida Machine Learning event at Florida Institute of Technology on Feb 13th 2017 by Karl Seiler
The document discusses the growth of the Internet of Things (IoT) and its potential impact. It notes that the number of connected devices is predicted to reach 25-30 billion by 2020. The key building blocks of IoT are described as things, connectivity, global networks, intelligence, and management. Security is highlighted as an "unknown unknown" due to the many different companies involved in supplying IoT services. The document suggests that customers will realize business value from IoT by enabling managed connectivity across devices globally.
FIWARE Global Summit - The Smart City Program in Japan: Cities as Enablers of...FIWARE
Presentation by Kenji Hiramoto
Chief Strategist (IT), Cabinet Secretariat, Government of Japan
FIWARE Global Summit
23-24 October 2019 - Berlin, Germany
Creativity: the human tool in the age of intelligent machines Roberto Siagri
Digitization and technology is demanding more creativity.
In the Age of Software Defined Machines and Big Data human creativity is becoming one of the most important skill. Presentation for the 7th Italian-Slovenian Forum in Lublijana
Mario Munich at AI Frontiers : Consumer robotics: embedding affordable AI in ...AI Frontiers
The availability of affordable electronics components, powerful embedded microprocessors, and ubiquitous internet access and WiFi in the household has enabled a new generation of connected consumer robots. In 2015, iRobot launched the Roomba 980, introducing intelligent visual navigation to its successful line of vacuum cleaning robots. In 2018, iRobot launched the Roomba i7, equipped with the latest mapping and navigation technology that provides spatial information to the broader ecosystem of connected devices in the home. In this talk, I will describe the challenges and the potential of introducing consumer robots capable of developing spatial context by exploring the physical space of the home, and I will elaborate on the impact of AI in the future of robotics applications. Moreover, I will describe our vision of the Smart Home, an AI-powered home that maintains itself and magically just does the right thing in anticipation of occupant needs. This home will be built on an ecosystem of connected and coordinated robots, sensors, and devices that provides the occupants with a high quality of life by seamlessly responding to the needs of daily living – from comfort to convenience to security to efficiency.
Briefing on the AI for Good Global Summit
Presented by Mr Frederic Werner, Senior Communication Officer at ITU.
At the UN briefing on AI, the UN Headquarters in New York, 20 April 2017
Internet Of Things & Ruby, com Thiago ScaloneiMasters
Amante de Ruby e desenvolvedor há 7 anos, Thiago Scalone participa e palestra da Guru-SP, TDC, Ruby + Rails no Mundo Real, e muitas outras comunidades e eventos. Neste 7Masters Ruby falou sobre "Internet Of Things & Ruby". Já trabalhou como desenvolvedor em São Paulo por 4 anos, e 3 anos atrás começou como desenvolvedor de C embarcado.
<pdf> IoT state of the art - survey of IoT and its impact on Big Data - Presented for the Big Data Florida / Central Florida Machine Learning event at Florida Institute of Technology on Feb 13th 2017 by Karl Seiler
Kai-Fu Lee at AI Frontiers : The Era of Artificial IntelligenceAI Frontiers
In this talk, I will talk about the four waves of Artificial Intelligence (AI) , and how AI will permeate every part of our lives in the next decade. I will also talk about how this will be different from previous technology revolutions -- it will be faster and be driven by not one superpower, but two (US and China). AI will add $16 trillion to our global GDP, but also cause many challenges that will be hard to solve. I will talk in particular about AI replacing routine jobs -- the consequences, the proposed solutions that don't work (such as UBI), and end with a blueprint of co-existence between humans and AI.
Presentatie van Michiel Verheij, Product Owner / Consultant bij TriMM over Smart Industrie/Industrie 4.0. Deze presentatie is gegeven in het kader van de opening van het nieuwe pand van Hollander Techniek in Almelo. Deze presentatie schets het bredere kader van Smart Industry en plaatst verschillende ontwikkelingen in een specifiek perspectief. Huidige ontwikkelingen worden gekoppeld aan ontwikkelingen in het verleden zoals verschillende industriële revoluties, opkomst van mobiel etc. Er wordt ingegaan het feit dat nieuwe tools die gebruikers ter beschikking staan leiden tot nieuwe gedrag zoals nu ook zichtbaar is met Smart Industry.
Ook wordt ingegaan op de link die er dient te zijn tussen strategie en cultuur als besloten wordt om met Smart Industry aan de slag te gaan. Daarnaast wordt er belicht welke karakteristieken/competenties voor bedrijven en medewerkers van belang zijn als men met dit thema aan de slag wil.
Voor meer informatie kijk op www.trimm.nl of neem telefonisch contact op onder telefoonnummer 053-4800480
The document discusses Internet of Things (IoT) solutions and market size. It defines IoT as physical devices embedded with sensors, software and connectivity that can collect and exchange data over the internet. Examples of IoT solutions mentioned include monitoring cows to collect 200MB of data per cow annually, smart home devices growing the smart home market to $3.3B, and connecting aviation through automated check-ins and baggage tracking. The conclusion notes that IoT is having a large economic impact and creating investment opportunities.
The document discusses how there are currently an estimated 35 billion devices connected to the internet, and that number is growing so rapidly we will soon stop counting individual connections. Eric Schmidt of Google commented on the massive scale of internet-connected devices.
Internet of Things (IoT) Past, Present, and FutureLosant
A look at the state of the Internet of Things in the world today. This includes a brief history of how the term came to be and how we got to our present place.
Today, in the world of IoT there are a number of industries that are taking advantage of the technology. This includes manufacturing, logistics, retail, and more.
Finally, this includes a brief description of Losant, https://losant.com. Losant is an IoT developer platform for building connected solutions.
This was originally presented to The Circuit in Cincinnati on May 19, 2016.
The Internet, You Ain't Seen Nothing Yet. NIOC2015Michiel Verheij
The Internet, You Ain't Seen Nothing Yet
Het world wide web is relatief jong maar heeft in zijn korte bestaan toch al een enorme invloed op de samenleving gehad en deze invloed zal in de komende jaren exponentieel toenemen. Tot voor kort waren fysiek en digitaal twee gescheiden werelden. De komende jaren zullen deze twee wereld verder versmelten met enorme gevolgen voor de samenleving waarvan een aantal al duidelijk zichtbaar zijn. Tijdens onze interactieve presentatie zullen wij dieper ingaan op een aantal actuele ontwikkelingen zoals de invloed van Mobiel, The Internet of Things, Fog Computing, Privacy en Big Data.
A Journey Towards Trustworthy AI (#AIFightsBack webinar)Ruth Kearney
Everyone has a part to play to make sure responsible and trustworthy AI solutions are delivered. Technologist Clare Dillon uncovers some thought-provoking examples of AI "fails". She also shares practical tips and insights into how to avoid the potential ethical pitfalls associated with building or buying AI applications.
Amit Gupta is kicking off his blog with tech trends that are expected to influence this year and industry advancements. Amit Gupta works as an Information Technology professional and consultant with Capgemini. He travels all over the world for his work and enjoys capturing his experiences with photographs. For more about Amit and his passions, check out his blog, FunWithAmit.com.
This document discusses the future of computing and technology over the next 20 years. It predicts that there will be over 50 billion connected devices by 2020, enabling control over nearly everything. Computing power will continue to increase through parallelism, neural networks, and new technologies like quantum computing. User interfaces will evolve from graphical interfaces to more natural forms like speech, gestures, brain interfaces and augmented reality. Artificial intelligence and hybrid intelligence systems will become common, amplifying human capabilities. The scale of computing will require new paradigms for interaction beyond single apps or people. Overall the document envisions a future of unprecedented creation, control, and prediction through exponential technology growth.
This document discusses many technology trends that are changing exponentially, faster than people can adapt linearly. It summarizes key areas like business technology, life sciences, work/life shifts, demographics, education models, globalization, emerging business models, trust economies, cloud computing, big data, machine learning, the internet of things, health monitoring, connected cars, and data analytics. The document urges readers to discuss how they will keep up with this constant, accelerating change impacting all aspects of work and life.
As the technology landscape continues to evolve, we are bound to witness new jobs existing in new tech dimensions. Let's take a look at which and where some new jobs might exist in this and forthcoming years.
TechRiot Mini XLR8er - How to Build IoT Business PropositionsMatthew Bailey
IoT presentation with a global comprehensive view on how this phenomenon can create impact. New wireless phenomena - LPWANs that will revolutionize IoT markets. Deep business and technology dive on how to build successful propositions. Discovery of individual and collective purpose, culture and values in order to align and optimize your business for success.
Copyright and property of Matthew Bailey 2016
Winning the Digital Disruption Game by Biren GandhiBiren Gandhi
Digital Disruption is happening all around us. We can't escape from its effect - for better of worse. What can we do to prepare ourselves for success in a future that is chaotic, uncertain and full of surprises? Discover the 4-i formula as a potential solution to win the Digital Disruption Game.
Introduction to the IIoT - Nevada - Sept 2017Matthew Bailey
The document introduces the Industrial Internet of Things (IIoT) and discusses how it can help address various challenges. It notes that the world's population is increasing and moving to cities, putting pressure on food production and resources. The IIoT uses sensors and networks to collect physical world data, which is then processed using analytics and applications to enable intelligent decision-making and more efficient systems. It provides estimates for the large market size of the IIoT and discusses how major companies are using it for applications like smart cities and advanced manufacturing.
Mario Munich at AI Frontiers : Consumer robotics: embedding affordable AI in ...AI Frontiers
The availability of affordable electronics components, powerful embedded microprocessors, and ubiquitous internet access and WiFi in the household has enabled a new generation of connected consumer robots. In 2015, iRobot launched the Roomba 980, introducing intelligent visual navigation to its successful line of vacuum cleaning robots. In 2018, iRobot launched the Roomba i7, equipped with the latest mapping and navigation technology that provides spatial information to the broader ecosystem of connected devices in the home. In this talk, I will describe the challenges and the potential of introducing consumer robots capable of developing spatial context by exploring the physical space of the home, and I will elaborate on the impact of AI in the future of robotics applications. Moreover, I will describe our vision of the Smart Home, an AI-powered home that maintains itself and magically just does the right thing in anticipation of occupant needs. This home will be built on an ecosystem of connected and coordinated robots, sensors, and devices that provides the occupants with a high quality of life by seamlessly responding to the needs of daily living – from comfort to convenience to security to efficiency.
Briefing on the AI for Good Global Summit
Presented by Mr Frederic Werner, Senior Communication Officer at ITU.
At the UN briefing on AI, the UN Headquarters in New York, 20 April 2017
Internet Of Things & Ruby, com Thiago ScaloneiMasters
Amante de Ruby e desenvolvedor há 7 anos, Thiago Scalone participa e palestra da Guru-SP, TDC, Ruby + Rails no Mundo Real, e muitas outras comunidades e eventos. Neste 7Masters Ruby falou sobre "Internet Of Things & Ruby". Já trabalhou como desenvolvedor em São Paulo por 4 anos, e 3 anos atrás começou como desenvolvedor de C embarcado.
<pdf> IoT state of the art - survey of IoT and its impact on Big Data - Presented for the Big Data Florida / Central Florida Machine Learning event at Florida Institute of Technology on Feb 13th 2017 by Karl Seiler
Kai-Fu Lee at AI Frontiers : The Era of Artificial IntelligenceAI Frontiers
In this talk, I will talk about the four waves of Artificial Intelligence (AI) , and how AI will permeate every part of our lives in the next decade. I will also talk about how this will be different from previous technology revolutions -- it will be faster and be driven by not one superpower, but two (US and China). AI will add $16 trillion to our global GDP, but also cause many challenges that will be hard to solve. I will talk in particular about AI replacing routine jobs -- the consequences, the proposed solutions that don't work (such as UBI), and end with a blueprint of co-existence between humans and AI.
Presentatie van Michiel Verheij, Product Owner / Consultant bij TriMM over Smart Industrie/Industrie 4.0. Deze presentatie is gegeven in het kader van de opening van het nieuwe pand van Hollander Techniek in Almelo. Deze presentatie schets het bredere kader van Smart Industry en plaatst verschillende ontwikkelingen in een specifiek perspectief. Huidige ontwikkelingen worden gekoppeld aan ontwikkelingen in het verleden zoals verschillende industriële revoluties, opkomst van mobiel etc. Er wordt ingegaan het feit dat nieuwe tools die gebruikers ter beschikking staan leiden tot nieuwe gedrag zoals nu ook zichtbaar is met Smart Industry.
Ook wordt ingegaan op de link die er dient te zijn tussen strategie en cultuur als besloten wordt om met Smart Industry aan de slag te gaan. Daarnaast wordt er belicht welke karakteristieken/competenties voor bedrijven en medewerkers van belang zijn als men met dit thema aan de slag wil.
Voor meer informatie kijk op www.trimm.nl of neem telefonisch contact op onder telefoonnummer 053-4800480
The document discusses Internet of Things (IoT) solutions and market size. It defines IoT as physical devices embedded with sensors, software and connectivity that can collect and exchange data over the internet. Examples of IoT solutions mentioned include monitoring cows to collect 200MB of data per cow annually, smart home devices growing the smart home market to $3.3B, and connecting aviation through automated check-ins and baggage tracking. The conclusion notes that IoT is having a large economic impact and creating investment opportunities.
The document discusses how there are currently an estimated 35 billion devices connected to the internet, and that number is growing so rapidly we will soon stop counting individual connections. Eric Schmidt of Google commented on the massive scale of internet-connected devices.
Internet of Things (IoT) Past, Present, and FutureLosant
A look at the state of the Internet of Things in the world today. This includes a brief history of how the term came to be and how we got to our present place.
Today, in the world of IoT there are a number of industries that are taking advantage of the technology. This includes manufacturing, logistics, retail, and more.
Finally, this includes a brief description of Losant, https://losant.com. Losant is an IoT developer platform for building connected solutions.
This was originally presented to The Circuit in Cincinnati on May 19, 2016.
The Internet, You Ain't Seen Nothing Yet. NIOC2015Michiel Verheij
The Internet, You Ain't Seen Nothing Yet
Het world wide web is relatief jong maar heeft in zijn korte bestaan toch al een enorme invloed op de samenleving gehad en deze invloed zal in de komende jaren exponentieel toenemen. Tot voor kort waren fysiek en digitaal twee gescheiden werelden. De komende jaren zullen deze twee wereld verder versmelten met enorme gevolgen voor de samenleving waarvan een aantal al duidelijk zichtbaar zijn. Tijdens onze interactieve presentatie zullen wij dieper ingaan op een aantal actuele ontwikkelingen zoals de invloed van Mobiel, The Internet of Things, Fog Computing, Privacy en Big Data.
A Journey Towards Trustworthy AI (#AIFightsBack webinar)Ruth Kearney
Everyone has a part to play to make sure responsible and trustworthy AI solutions are delivered. Technologist Clare Dillon uncovers some thought-provoking examples of AI "fails". She also shares practical tips and insights into how to avoid the potential ethical pitfalls associated with building or buying AI applications.
Amit Gupta is kicking off his blog with tech trends that are expected to influence this year and industry advancements. Amit Gupta works as an Information Technology professional and consultant with Capgemini. He travels all over the world for his work and enjoys capturing his experiences with photographs. For more about Amit and his passions, check out his blog, FunWithAmit.com.
This document discusses the future of computing and technology over the next 20 years. It predicts that there will be over 50 billion connected devices by 2020, enabling control over nearly everything. Computing power will continue to increase through parallelism, neural networks, and new technologies like quantum computing. User interfaces will evolve from graphical interfaces to more natural forms like speech, gestures, brain interfaces and augmented reality. Artificial intelligence and hybrid intelligence systems will become common, amplifying human capabilities. The scale of computing will require new paradigms for interaction beyond single apps or people. Overall the document envisions a future of unprecedented creation, control, and prediction through exponential technology growth.
This document discusses many technology trends that are changing exponentially, faster than people can adapt linearly. It summarizes key areas like business technology, life sciences, work/life shifts, demographics, education models, globalization, emerging business models, trust economies, cloud computing, big data, machine learning, the internet of things, health monitoring, connected cars, and data analytics. The document urges readers to discuss how they will keep up with this constant, accelerating change impacting all aspects of work and life.
As the technology landscape continues to evolve, we are bound to witness new jobs existing in new tech dimensions. Let's take a look at which and where some new jobs might exist in this and forthcoming years.
TechRiot Mini XLR8er - How to Build IoT Business PropositionsMatthew Bailey
IoT presentation with a global comprehensive view on how this phenomenon can create impact. New wireless phenomena - LPWANs that will revolutionize IoT markets. Deep business and technology dive on how to build successful propositions. Discovery of individual and collective purpose, culture and values in order to align and optimize your business for success.
Copyright and property of Matthew Bailey 2016
Winning the Digital Disruption Game by Biren GandhiBiren Gandhi
Digital Disruption is happening all around us. We can't escape from its effect - for better of worse. What can we do to prepare ourselves for success in a future that is chaotic, uncertain and full of surprises? Discover the 4-i formula as a potential solution to win the Digital Disruption Game.
Introduction to the IIoT - Nevada - Sept 2017Matthew Bailey
The document introduces the Industrial Internet of Things (IIoT) and discusses how it can help address various challenges. It notes that the world's population is increasing and moving to cities, putting pressure on food production and resources. The IIoT uses sensors and networks to collect physical world data, which is then processed using analytics and applications to enable intelligent decision-making and more efficient systems. It provides estimates for the large market size of the IIoT and discusses how major companies are using it for applications like smart cities and advanced manufacturing.
IBM BC2015 - Internet of Things - from hype to realityIBM Sverige
Denna presentation hölls på IBM Business Connect (http://www.ibm.com/se/businessconnect) i oktober 2015 av Kim Escherich (IoT Innovation Architect, IBM)
Beskrivning:
Internet of Things is everywhere, and almost everyone is talking about it its impact to society. It is changing how we innovate to create new cool things, how people interact and learn, and our ability more wisely use our resources.
This presentation will briefly review IBM's journey, what areas are in focus and what IBM sees as its key contributions to this transformation.
CITY Furniture: Building an Enterprise-wide Logical Data Fabric at the Core o...Denodo
Watch full webinar here: https://bit.ly/3wZLspv
CITY Furniture, a Florida based retail giant, realized that bringing data from its orbital position to the core nucleus of the business decision-making was critical to meeting its business goals. That required an enterprise-wide digital transformation where data science and advanced analytics became the foundation for the company's new digital business model. Building a Logical Data Fabric allowed CITY Furniture to democratize their data and empower all their distributed data consumers.
Learn how the fast-growing retail company could virtualize all its data sources and create a semantic layer to connect and deliver critical data-driven insights to all data consumers. This integrated data view empowered data users from marketing, sales, operations, supply chain, and merchandising functions to make critical insights-driven decisions that helped CITY Furniture increase their market share and grow the business beyond the borders of Florida.
The document discusses the development of AIoT (Artificial Intelligence of Things) and its role in building smart cities. It describes how AIoT integrates artificial intelligence and IoT technologies. The global AIoT market is growing rapidly and many countries and companies are developing strategies to apply AIoT. Building the AIoT ecosystem requires a focus on data, computing power, and algorithms. While large companies are applying AIoT, smaller AI companies are also entering the market by developing AIoT operating systems and intelligent hardware. The development of AIoT has significant potential to create an intelligent future.
John Chiappetta prezo on 5G EdgeComputing and IoT and how interdependent they are.
Held Nov 19, 2019 at Milton Education Village Innovation Centre, Milton, Ontario, Canada.
Learn more here: https://siliconhalton.com/event/meetup-119-what-is-5g-and-edge-computing/
The Industrial Internet of Things - A Time for RevolutionRich Rogers
The Pacific Northwest has a tremendous amount of manufacturing and high-tech expertise. Now is the time to combine and align all of our learnings from tier one companies such as Boeing, PACCAR, Amazon, Microsoft, and many others. The PNW is positioned to emerge as a global leader in the Industrial IoT Revolution.
Learning Objective: Discover the upcoming trends of information technology
This seminar looks at technology trends that should be on your radar. As a technology professional, staying on top of trends is crucial. Join us as our expert panelists discuss the upcoming trends and game-changing technologies of the future.
At the end of this seminar, participants will:
a. Learn how to identify the areas where technology changes are likely.
b. Identify resources to use to keep abreast of technology changes in their industry.
c. Learn how to analyze trends for opportunities to grow their careers.
Digitization by Cisco - Keynote presentation by Dr. Rick HuijbregtsCisco Canada
This document discusses digitization and digital transformation. It notes that digital business is creating the digital economy, with examples like increased gross payment volume in retail point-of-sale systems and increased production efficiency in automotive. The document highlights that digital infrastructure needs to be scalable, sustainable, and secure to support digital transformation. It also discusses the role of CIOs, IT, standards, platforms, government public-private partnerships, and ecosystem partners in digital leadership and vision.
The document discusses the growth of connected devices and the Internet of Things (IoT). It notes that the number of connected devices is projected to exceed 50 billion by 2020. It also states that the IoT market is expected to reach $19 trillion by 2020 and connected homes currently represent the top consumer market for IoT devices. The document concludes by questioning if organizations are ready to analyze the massive amounts of data that will be generated by billions of connected devices.
IoT keynote Daybreak Series - Denver, 6th march 2018Matthew Bailey
Internet of Things - “Driving business transformation for markets in the Industrial IoT and Smart Cities”
Also contains some economic and technology innovations from the future.
INTERNET OF THINGS - THE NEXT WAVE OF INNOVATIONRajat Maheshwari
IoT is the new wave of innovation.
IoT has the potential to enable extensions and enhancements to fundamental services in transportation, logistics, security, utilities, education, healthcare and other areas, while providing a new ecosystem for application development.
A concerted effort is required to move the industry beyond the early stages of market development towards maturity, driven by common understanding of the distinct nature of the opportunity.
The term 'Internet of Things' was first coined in 1999 by Kevin Ashton. By 2010, the number of smartphones and tablets connected to the Internet reached 12.5 billion, marking the birth and popularization of the Internet of Things between 2008-2009. IT experts and stakeholders believe that the Internet of Things will ultimately benefit the world by reducing energy consumption by up to 40% and enabling revenue growth opportunities for companies like Intel and Cisco. Cisco IBSG predicts there will be 25 billion devices connected to the internet by 2015 and 50 billion by 2020.
This document summarizes technology trends that will be featured at CES 2019, including 5G networks, artificial intelligence, robotics, voice computing, blockchain, digital assistants, augmented and virtual reality, vehicle technology, digital health, and cyber resilience. Key areas of focus are the development of 5G networks, growth in digital assistants and voice interfaces, expanding uses of AI, and advances toward self-driving vehicles. CES 2019 will showcase how these emerging technologies are enhancing industries like transportation, healthcare, sports, education, and more.
Remaining Successful in the Industry 4.0 age - Joakim LindbomJoakim Lindbom
The 4th industrial revolution is starting now. What innovation is affecting and what could you build upon? How do you plan for what's essentially unplannable? How do you compete when startups are 100 times faster than you? What is Open Innovation? And why do old, stable and profitable companies die?
Capturing Value from The Next 10 Billion DevicesPaul Brody
What can we learn from the last major diffusions of technology into our society (mobile & PC) and how will that apply to the Internet of Things? What strategies & business models should we consider to build sustainably profitable solutions.
Similar to The Big Combo - AI, IoT and Big Data (20)
The document discusses the ethics of artificial intelligence and outlines both benefits and risks. It begins by introducing speakers on the topic and defining artificial intelligence. It then notes that AI is already used widely to make decisions that affect people's lives. Both benefits of AI like increased precision and risks like job loss requiring retraining are discussed. Concerns are raised by experts like Bill Gates, Elon Musk, and Stephen Hawking about potential existential threats from advanced AI. The document calls for safe and robust AI to avoid negative outcomes through exploration and oversight. It concludes that forward-thinking people are working to address the challenges of ensuring AI is developed and applied responsibly.
Healthcare focused IOT technology is expected to be a $117 billion market by 2020 (a mere 5 Years out). A remarkable projection that is attracting a lot of big vendor focus as well as startup activity.
The feedback from the HC professionals I interviewed for this talk was that IoT for healthcare has to happen, is already happening, and the scale will be exponential. It will be embraced by the Boomers and Medicare. However, as I’ll get to, there will also be significant resistance from many quarters.
"In the next century, planet earth will don an electronic skin. It will use the Internet as a scaffold to support and transmit its sensations. This skin is already being stitched together. It consists of millions of embedded electronic measuring devices: thermostats, pressure gauges, pollution detectors, cameras, microphones, glucose sensors, EKGs, electroencephalographs. These will probe and monitor cities and endangered species, the atmosphere, our ships, highways and fleets of trucks, our conversations, our bodies--even our dreams."
1999 - Neil Gross in Business Week
TEDx FIT Talk
Technological innovation outstrips social, cultural, legal systems, causing slowed or failed adoption. There are solutions to this dilemma. Different ways are needed for technology change / introduction / deployment / proliferation.
Organizations all around us are building Data Lakes. This presentation explores why, why now, their past, current art, and future trends.
A Big Data Florida Panel Discussion
All major cloud service providers now have some ML offering. The startup costs are low-to-no. They provide seamless leverage of cloud resources for scale-ups = $’s.
Open source ML options are now common making the creation of very large models now possible. Open data sets are proliferating.
Presented at CF Machine Learning
This document provides an introduction and overview of deep learning, including its history and key figures. Deep learning is a breakthrough in machine learning that uses neural networks with multiple hidden layers to learn representations of data. It has gained traction in recent years due to increases in data, processing power, and algorithmic advances. Popular deep learning algorithms and tools are described.
Smart software is emerging as intelligent, just-in-time advisors and assistants. The new digital you is scattered across the Internet in databases and logs and long-vectors being analyzed, classified and clustered. What we need is our own digital autonomous agents. Working on our behalf. Aiding, advising, alerting, teaching, removing, fixing, connecting, filtering, solving, finding…thinking.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
End-to-end pipeline agility - Berlin Buzzwords 2024
The Big Combo - AI, IoT and Big Data
1. PIVIT | Turn Smart karl@piviting.com l www.piviting.com | +1 321 750 5165
The Big Combo
Internet of Things
Big Data
Artificial Intelligence
Sept, 2017
TURN SMART
2. PIVIT | Turn Smart karl@piviting.com l www.piviting.com | +1 321 750 5165
2
What can next-
gen tech
realistically do
at ground-
level?
3. PIVIT | Turn Smart karl@piviting.com l www.piviting.com | +1 321 750 5165
3
Io
T
B
D
AI
4. PIVIT | Turn Smart karl@piviting.com l www.piviting.com | +1 321 750 5165
4
IoT
Internet of things
Sensory skin
Billions of devices
Covers the planet
Internet connected
Maker of Big Data
Security gaps
5. PIVIT | Turn Smart karl@piviting.com l www.piviting.com | +1 321 750 5165
5
Big Data
25 billion billion b/d
It’s a collective memory
4 v’s
Distributed File Sys
Towards decentralization
Forensics for training
As-is for decisions
6. PIVIT | Turn Smart karl@piviting.com l www.piviting.com | +1 321 750 5165
A toddler
learning words
at home
BD
Is
context
7. PIVIT | Turn Smart karl@piviting.com l www.piviting.com | +1 321 750 5165
7
Artificial Intelligence
Human capabilities
Predictors
Optimizers
Advisors /Agents
Autonomy
Towards strategy
Job displacement / Reskilling CapGemini ‘17 - 63 percent industry leaders said that AI has not
destroyed any jobs
8. PIVIT | Turn Smart karl@piviting.com l www.piviting.com | +1 321 750 5165
8
Io
T
B
D
AI
S E N S E
S
F I N D S T H E
PAT T E R N
P R E D I C T S
AN D
R E AC T S
AC T S
9. Impacts
In transportation
In health care
In cities
Fin tech
In rural
scurve
Inflexion
Market insiders
rarely predict the
expansion duration
correctly
10. PIVIT | Turn Smart karl@piviting.com l www.piviting.com | +1 321 750 5165
AI IS ALREADY EVERYWHERE
11. PIVIT | Turn Smart karl@piviting.com l www.piviting.com | +1 321 750 5165
3 AI Perspectives
11
AI Kills Us AI Saves Us AI Is Us
12. connected
devices by
2020
$15
billion
Spent on smart
home in 2015
$2
trillion
Industrial impact
by 2020
$500
B/y
Driverless market
$100
B/y
smart office
50+
billion
Spent on IoT
in next 5 years
$6
trillion
biz
Lower costs,
increase
productivity,
open markets
gov
Improve
citizens quality
of life
$1
trillion
Smart city market
$2
t/y
smart factory
market
…and
how big
is the
disruption?
13. PIVIT | Turn Smart karl@piviting.com l www.piviting.com | +1 321 750 5165
13
Continuously optimizing
Works were small and remote (LoRA)
Really good advice that never leaves you
1
2
3
14. …how it helps
Txt: possible
melanoma,
closest skin
care clinic…
Txt: Share-bus
arrival in 23
minutes
Txt: Bacterial
Leaf Streak of
Corn, treatment
options…
Cattle tags now allow
ranchers to monitor vital
signs and reduce cattle
theft
Precision agriculture
Voluntary milking systems
Adaptive irrigation
Soil sensor drought monitors
Micro-cast weather
Disaster management
Emergency micro-message
delivery
High-risk area monitoring:
fire, landslides, flooding
15. PIVIT | Turn Smart karl@piviting.com l www.piviting.com | +1 321 750 5165
O U R C O M P A N Y A B O U T U S I N F O G R A P H I C S C O N T A C T
15
Thank You
Get in touch with us!
15
Karl Seiler |
President
PIVIT – TURN
SMART
karl@piviting.com
Piviting.com
@pivitguru
+321 750 5165
TURN SMART
Editor's Notes
Howdy, Karl Seiler here, my company is PIVIT. We help people design products that fit the new world.
Today I am going to spin through what I see as the combined power of a new tech combo: the Internet of Things, Big Data and Artificial Intelligence
I come to you recently escaping hurricane Irma’s wrath
After a scary night of freight-train waves-of-wind, debris bouncing off steel shutters, streets turning into rivers, and taking to higher ground, we were left with 3 hot days in the dark with no reliable communications except neighbor’s word of mouth and an occasional passer-by. Ice & batteries were the new currency.
Right before that I was hiking and occasionally lost in the backcountry of the San Juan range in Colorado, in what happened to be opening week of bow hunting season. I learned the importance of wearing bright orange.
This set me up to challenge just how this out-there fluffy data-focused tech could help me in the country and in a disaster area.
Right now we have 3 big breakouts in compute-tech that are combining to leverage each other.
They are
The Internet of Things, Big Data and Artificial Intelligence.
IoT – the Internet of things
Think of it as our extended senses. Fine-grained, never asleep, sensing in dimensions beyond our human capabilities.
Billions of low cost, low energy devices being deployed
Covering the planet with a sensory blanket
Internet connected to stream data
The source of the ever bigger and bigger data resources
One big problem to be address is more security end-points to protect
Big Data
Think of it as our collective memory
New data flows from the Iot device edge
Historical data is mined for trends
Pattern and categorization results become our data derived from data
…and even the very nature of data itself is changing. Once a central repository now where? Don’t care?
Right now I am working on a project called ZONTAL Space, for Pharma and Bio tech, where our goal is to make 30+ year scientific lab data rentention be self-explanatory, and future-proof. Understandable long after the generating tech is gone.
No more dumb data. Data talks. Data helps you use it.
IoT and Big Data combine to allow us to see patterns we could not ever see before.
Here is a new pattern for ya.
A toddler location tracker, voice recorder and language processor coupled to analytics. This is a pattern of how and when a child learns to talk overlaid onto the map of their apartment. Leading to the discovery that context matters more than repetition in language acquisition. The peak is the location where this child learned the most words the fastest. The high-chair in the kitchen.
AI – artificial intelligence
Replicating and enhancing human capabilities
Machine learning to generate predictive models
Optimizers of everything
Decision-making in real-time sits at the edge – turn left to avid the biker
Cognitive intelligent agents sit in the cloud – remote advisory services bots
Leading us to autonomous decision making – cars, fund managers, robotic helpers
From the tactical call to strategic decisions – in resource management, warfare, logistics, threat reduction
The 3 combine like this. Keep this simple view in mind when people talk about these areas.
IoT senses
Big Data remembers
Machine Learning finds the patterns
AI – thinks, predicts, decides, acts.
IoT –closes the loop reacting to commands.
Always am asked how long will it take before this stuff changes our lives significantly
Technology tends to proliferate in a S adoption curve.
Try and fail, try and fail and then whamo, things work, its affordable, its dependable
Then rapid expansion until most people are using it.
Horse to cars – a 15 year transitions
Land lines to cell phone dominance was 5 years
Gas car to electric vehicle dominance – at inflexion – will happen fast now
Oil energy versus solar - PV went through grid parity with natural gas in 2016 and is still headed steeply down in cost
Power generation is also at inflection
AI is also not in some distant future. It is here now and has been for awhile.
You all use it every day.
AI recommends products, music, helps search, trades on the market, builds things, is on your wrist, is starting to drive, fights your battles, reviews your taxes and calculates your credit risk.
So lets quickly talk about the “creepy-factor” of AI
There are 3 main camps people fall into.
AI kills us
AI is like nuclear weapons
Where we live on the edge of ensured destruction
It must be monitored
It must not get out of control
Like nukes we care about AI in the wrong hands, and legitimate terms of engagement
…or AI saves us from our selves. It helps to bail us out.
AI provides the optimizations needed to that revolutionize the delivery of better goods and services, lowers environmental impact, lessens suffering, extends life, empowers the weak
It enables more complex systems
To maintain the most important services
Beyond human capacity
Lastly – AI is us
Our neurologically life gets replicated inside the machine.
This is mainly a compute capacity and modeling problem
Given the exponential curves of power and performance in computing to we converge on a place where we drop the body and go into the matrix?
And is that a life as a separate consciousness or a collective mind hive?
Do not know.
How big is the bang?
Big disruptions are projected across large economic sectors:
Trillions in impact
In agriculture
Manufacturing
Transportation
Smarter cities
Smarter buildings
Back to my storm.
What do we hope they can combine to do for us? What did I need at ground-level?
Work in low power constraints, wherever I am, consistently
I wanted information, status, resources, routes, advice for situations I was not familiar with.
I needed help – best path, when to lay-low, places giving out ice, lowest possible fuel use, how-tos, trauma-help.
I needed PV + smartphone + low bandwidth internet connectivity + helpful smart end points. Less Q more A.
Some simple examples:
Remote healthcare: Camera image of skin problem, upload, pattern recognition, intelligent skin advisor, text warning and mitigation strategy
Crowdsourcing and shared transportation: GPS locations, pattern recognition of a cluster of travels, must be a shared-bus, route checked, prediction, arrival notification
Pest diagnotics: infestation, image capture, pattern recognition, corn pest advisor, treatment recommendations
Cows as an IoT platform
Precision agriculture
Disaster management
Welcome to your rapidly changing world. Filled with opportunity to help the small and remote.
Thank You all for your attention. Again, I am Karl Seiler from PIVIT. Hope to hear from you.