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.
The document provides an overview of the Internet of Things (IoT). It discusses the history and timeline of IoT development. Key applications of IoT mentioned include smart cities, manufacturing, building automation, healthcare, automotive, and wearables. The document also outlines how IoT works using various wireless technologies, challenges to IoT adoption, and the future growth of connected devices. It predicts that by 2020 there will be 50 billion connected devices and on average 6 smart devices per person worldwide.
The internet of things (IoT) is the internetworking of physical devices, vehicles, buildings and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data.
This document provides an overview of the Internet of Things (IoT). It defines IoT as connecting physical devices to the internet and each other. The document outlines the history and evolution of IoT from RFID tags to current connectivity of devices. It describes common IoT applications, communication protocols like Bluetooth and WiFi, and challenges around data standards. Finally, it discusses the logical design of IoT systems including functional blocks, communication models, and application programming interfaces.
The document discusses Internet of Things (IoT) and provides an overview in three main points:
1. IoT involves connecting physical objects/things to the internet so they can communicate and transfer data without human interaction. This allows the objects to collect and share information.
2. Current trends show efforts to connect 26 billion objects by 2020, with healthcare, transportation and manufacturing leading the way. Common communication methods for connecting objects include WiFi, Bluetooth, and Zigbee.
3. IoT provides benefits like real-time analytics and control, but also faces challenges regarding security, adoption rates, compatibility and power constraints. Main application areas include home automation, smart cities, manufacturing and automotive.
The document discusses the Internet of Things (IoT). It defines IoT as a system of interconnected devices, machines, objects, animals, and people that can transfer data over a network without human interaction. The document notes that IoT allows everyday objects to gather and share sensor data. It provides examples of application areas for IoT like smart homes, wearables, healthcare, and vehicles. Finally, it acknowledges that the future of IoT is promising as the technology continues to develop new possibilities.
INTERNET OF THING PRESENTATION ON PUBLIC SPEAKINGAYESHA JAVED
The document discusses the Internet of Things (IoT). It defines IoT as a network of physical objects embedded with electronics, software, and sensors that can collect and exchange data. The document outlines the history, life cycle, characteristics, applications, and market for IoT. It examines examples like glucose monitors, smart washing machines, and smart home security. The market for IoT devices is expected to grow significantly by 2020. The document ends with recommendations for accommodating IoT security within existing practices like policies, procedures, awareness training, and vulnerability management.
The document provides an overview of the Internet of Things (IoT). It discusses the history and timeline of IoT development. Key applications of IoT mentioned include smart cities, manufacturing, building automation, healthcare, automotive, and wearables. The document also outlines how IoT works using various wireless technologies, challenges to IoT adoption, and the future growth of connected devices. It predicts that by 2020 there will be 50 billion connected devices and on average 6 smart devices per person worldwide.
The internet of things (IoT) is the internetworking of physical devices, vehicles, buildings and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data.
This document provides an overview of the Internet of Things (IoT). It defines IoT as connecting physical devices to the internet and each other. The document outlines the history and evolution of IoT from RFID tags to current connectivity of devices. It describes common IoT applications, communication protocols like Bluetooth and WiFi, and challenges around data standards. Finally, it discusses the logical design of IoT systems including functional blocks, communication models, and application programming interfaces.
The document discusses Internet of Things (IoT) and provides an overview in three main points:
1. IoT involves connecting physical objects/things to the internet so they can communicate and transfer data without human interaction. This allows the objects to collect and share information.
2. Current trends show efforts to connect 26 billion objects by 2020, with healthcare, transportation and manufacturing leading the way. Common communication methods for connecting objects include WiFi, Bluetooth, and Zigbee.
3. IoT provides benefits like real-time analytics and control, but also faces challenges regarding security, adoption rates, compatibility and power constraints. Main application areas include home automation, smart cities, manufacturing and automotive.
The document discusses the Internet of Things (IoT). It defines IoT as a system of interconnected devices, machines, objects, animals, and people that can transfer data over a network without human interaction. The document notes that IoT allows everyday objects to gather and share sensor data. It provides examples of application areas for IoT like smart homes, wearables, healthcare, and vehicles. Finally, it acknowledges that the future of IoT is promising as the technology continues to develop new possibilities.
INTERNET OF THING PRESENTATION ON PUBLIC SPEAKINGAYESHA JAVED
The document discusses the Internet of Things (IoT). It defines IoT as a network of physical objects embedded with electronics, software, and sensors that can collect and exchange data. The document outlines the history, life cycle, characteristics, applications, and market for IoT. It examines examples like glucose monitors, smart washing machines, and smart home security. The market for IoT devices is expected to grow significantly by 2020. The document ends with recommendations for accommodating IoT security within existing practices like policies, procedures, awareness training, and vulnerability management.
This document discusses design aspects of the Internet of Things (IoT). It begins with an introduction that defines IoT as connecting devices over the internet to control things remotely and make life easier. Key points include IoT allowing any thing, place, and time connections. By 2020, it is estimated that 50 billion objects will be connected. The document then discusses technologies used in IoT like RFID, Bluetooth, and WiFi. It also addresses open challenges like interoperability, scalability, and security. The proposed architecture includes network, system, and device levels. Changes to the IPv6 protocol are suggested to address issues with addressing billions of devices. The document concludes by outlining how the proposed approach could benefit IoT applications
Internet of things (IOT) connects physical to digitalEslam Nader
1) The document discusses the topic of Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors that can collect and exchange data.
2) The document outlines some key characteristics of IoT including connectivity, data collection, communication, intelligence, and action. It also discusses how IoT works by collecting data via sensors, communicating data through networks, analyzing the data, and taking action.
3) Several potential research topics in IoT are proposed, including applying deep learning for intrusion detection in IoT networks, finding dead zones in large IoT networks, and developing governance models for machine learning algorithms within IoT.
The document discusses the Internet of Things (IoT). It defines IoT as the network of physical objects embedded with electronics, software, and sensors that enables them to connect and exchange data. Examples provided include devices that monitor health, farm animals, environmental sensors, and smart cars. The history of IoT is traced back to 1999 with RFID seen as an enabling technology. Current IoT works through capabilities like communication, sensing, processing and localization. Challenges and criticisms of IoT regarding privacy, security, and control are also outlined. The future of IoT is presented as adding billions more connected sensors to improve various areas of life.
The document discusses the Internet of Things (IoT), which refers to connecting everyday objects to the internet. It explains that IoT enables communication between people and objects as well as between objects themselves. The document outlines how more devices are being connected through wireless sensor networks and IP-based services. It also discusses challenges and solutions for connecting constrained devices in IoT environments. Finally, it provides examples of building a Web of Things using technologies like CoAP, HTTP, and lightweight M2M.
The document discusses the Internet of Things (IoT). It defines IoT as the network of physical objects embedded with electronics, software, and sensors that enables the collection and exchange of data. Key components that drive IoT include sensors that detect information, connectivity that allows communication over the internet, and people and processes that analyze and take action based on the data. Some advantages of IoT are more efficient resource utilization, minimized human effort through automation, and time savings. The document outlines current and potential future applications of IoT but also notes there are challenges to widespread adoption.
The Internet of Things (IoT) is the network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data.
A presentation on IoT - Internet of Things. Helps in getting a overview about the technology, architecture, platforms & applications used. With one real life example of Philips Hue Lights
The document discusses Internet of Things (IoT) and Industrial Internet of Things (IIoT). It provides examples of IoT in areas like smart agriculture, energy consumption, security, and healthcare. It then describes key enabling technologies for IoT like low-power devices, Bluetooth, and the need for open connectivity standards. The document also discusses the growth of the IoT market and applications of robotics. It then focuses on defining IIoT and comparing it to IoT and M2M. The document outlines requirements and benefits of IIoT like cloud computing, analytics, and improved efficiency. Real-life examples of IIoT in industries like aviation, oil and gas are also provided.
The document discusses the future of the Internet of Things (IoT). It defines IoT as connecting physical devices to exchange data and integrate the physical world into computer systems. The architecture of IoT is described as having four layers - a sensor layer to collect real-time data, a gateway layer to support communication, a service layer to analyze data, and an application layer for user interfaces. Challenges of IoT include scalability, standardization, and data volumes. Applications are in smart homes, cities, grids, cars, health, and supply chains. The future of IoT is vast due to advances enabling integration across devices.
The document discusses the Internet of Things (IoT). It defines IoT as the network of physical objects embedded with electronics, software, and sensors to collect and exchange data. The document outlines the history of the internet and how everything has become digitized. It discusses current uses of IoT in areas like smart appliances, healthcare, wearables, and transportation. The future outlook is that each person will interact with 3,000 to 5,000 connected devices. However, increased connectivity also increases risks of terrorism and hacking of critical systems.
Slides from a presentation for the South Australian Department of Education & Childrens’ Development – Luchtime Bytes Series.
WEB meets WORLD
Broadly defined as building connections between the virtual world and physical objects.
The Internet of Things (ioT) is comprised of many different technologies ranging from wireless communication, sensor networks, and various forms of computing to radio frequency identification (RFID)
Internet of Things (IoT) - Slide Marvels, Top PowerPoint presentation design ...Slide Marvels
This is a small video done with Microsoft PowerPoint by the designers of Slide Marvels on the topic 'Internet of Things (IoT).
Slide Marvels (www.slidemarvels.com) is a leading Presentation Design Company having experience of many years. We are a professional team of presentation designers who have already worked in major consulting firms like McKinsey & Co., Boston Consulting Group and Deloitte to mentioned some of them.
Our passion is to build and design any type of PowerPoint presentations from pitch decks, team meeting, training documents up to webinar documents and more. We always design World Class presentation that you will be proud of.
www.slidemarvels.com
Iot: Introduction ,architecture ,application especially engineering ,software,hardware,protocols and challenges
nodered software code for Iot simulation
In this presentation, Divya introduces IoT and associated trends. Natasha is interested in IoT applications in the domains of smart cities and pollution reporting.
The document provides an overview of the Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors, software and network connectivity that enables them to collect and exchange data. The document discusses what types of physical and virtual things can be connected in an IoT system and how they can collect and share data. It also examines common communication protocols used in IoT like UART, SPI, I2C and CAN that allow different devices to connect and exchange information over a network.
Internet of Things(IoT) - Introduction and Research Areas for ThesisWriteMyThesis
Internet of Things(IoT) is the latest technology making its presence felt in the world. There are various research areas for IoT thesis for M.Tech and Ph.D. Find out the latest topics for thesis and research here.
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.
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.
This document discusses design aspects of the Internet of Things (IoT). It begins with an introduction that defines IoT as connecting devices over the internet to control things remotely and make life easier. Key points include IoT allowing any thing, place, and time connections. By 2020, it is estimated that 50 billion objects will be connected. The document then discusses technologies used in IoT like RFID, Bluetooth, and WiFi. It also addresses open challenges like interoperability, scalability, and security. The proposed architecture includes network, system, and device levels. Changes to the IPv6 protocol are suggested to address issues with addressing billions of devices. The document concludes by outlining how the proposed approach could benefit IoT applications
Internet of things (IOT) connects physical to digitalEslam Nader
1) The document discusses the topic of Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors that can collect and exchange data.
2) The document outlines some key characteristics of IoT including connectivity, data collection, communication, intelligence, and action. It also discusses how IoT works by collecting data via sensors, communicating data through networks, analyzing the data, and taking action.
3) Several potential research topics in IoT are proposed, including applying deep learning for intrusion detection in IoT networks, finding dead zones in large IoT networks, and developing governance models for machine learning algorithms within IoT.
The document discusses the Internet of Things (IoT). It defines IoT as the network of physical objects embedded with electronics, software, and sensors that enables them to connect and exchange data. Examples provided include devices that monitor health, farm animals, environmental sensors, and smart cars. The history of IoT is traced back to 1999 with RFID seen as an enabling technology. Current IoT works through capabilities like communication, sensing, processing and localization. Challenges and criticisms of IoT regarding privacy, security, and control are also outlined. The future of IoT is presented as adding billions more connected sensors to improve various areas of life.
The document discusses the Internet of Things (IoT), which refers to connecting everyday objects to the internet. It explains that IoT enables communication between people and objects as well as between objects themselves. The document outlines how more devices are being connected through wireless sensor networks and IP-based services. It also discusses challenges and solutions for connecting constrained devices in IoT environments. Finally, it provides examples of building a Web of Things using technologies like CoAP, HTTP, and lightweight M2M.
The document discusses the Internet of Things (IoT). It defines IoT as the network of physical objects embedded with electronics, software, and sensors that enables the collection and exchange of data. Key components that drive IoT include sensors that detect information, connectivity that allows communication over the internet, and people and processes that analyze and take action based on the data. Some advantages of IoT are more efficient resource utilization, minimized human effort through automation, and time savings. The document outlines current and potential future applications of IoT but also notes there are challenges to widespread adoption.
The Internet of Things (IoT) is the network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data.
A presentation on IoT - Internet of Things. Helps in getting a overview about the technology, architecture, platforms & applications used. With one real life example of Philips Hue Lights
The document discusses Internet of Things (IoT) and Industrial Internet of Things (IIoT). It provides examples of IoT in areas like smart agriculture, energy consumption, security, and healthcare. It then describes key enabling technologies for IoT like low-power devices, Bluetooth, and the need for open connectivity standards. The document also discusses the growth of the IoT market and applications of robotics. It then focuses on defining IIoT and comparing it to IoT and M2M. The document outlines requirements and benefits of IIoT like cloud computing, analytics, and improved efficiency. Real-life examples of IIoT in industries like aviation, oil and gas are also provided.
The document discusses the future of the Internet of Things (IoT). It defines IoT as connecting physical devices to exchange data and integrate the physical world into computer systems. The architecture of IoT is described as having four layers - a sensor layer to collect real-time data, a gateway layer to support communication, a service layer to analyze data, and an application layer for user interfaces. Challenges of IoT include scalability, standardization, and data volumes. Applications are in smart homes, cities, grids, cars, health, and supply chains. The future of IoT is vast due to advances enabling integration across devices.
The document discusses the Internet of Things (IoT). It defines IoT as the network of physical objects embedded with electronics, software, and sensors to collect and exchange data. The document outlines the history of the internet and how everything has become digitized. It discusses current uses of IoT in areas like smart appliances, healthcare, wearables, and transportation. The future outlook is that each person will interact with 3,000 to 5,000 connected devices. However, increased connectivity also increases risks of terrorism and hacking of critical systems.
Slides from a presentation for the South Australian Department of Education & Childrens’ Development – Luchtime Bytes Series.
WEB meets WORLD
Broadly defined as building connections between the virtual world and physical objects.
The Internet of Things (ioT) is comprised of many different technologies ranging from wireless communication, sensor networks, and various forms of computing to radio frequency identification (RFID)
Internet of Things (IoT) - Slide Marvels, Top PowerPoint presentation design ...Slide Marvels
This is a small video done with Microsoft PowerPoint by the designers of Slide Marvels on the topic 'Internet of Things (IoT).
Slide Marvels (www.slidemarvels.com) is a leading Presentation Design Company having experience of many years. We are a professional team of presentation designers who have already worked in major consulting firms like McKinsey & Co., Boston Consulting Group and Deloitte to mentioned some of them.
Our passion is to build and design any type of PowerPoint presentations from pitch decks, team meeting, training documents up to webinar documents and more. We always design World Class presentation that you will be proud of.
www.slidemarvels.com
Iot: Introduction ,architecture ,application especially engineering ,software,hardware,protocols and challenges
nodered software code for Iot simulation
In this presentation, Divya introduces IoT and associated trends. Natasha is interested in IoT applications in the domains of smart cities and pollution reporting.
The document provides an overview of the Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors, software and network connectivity that enables them to collect and exchange data. The document discusses what types of physical and virtual things can be connected in an IoT system and how they can collect and share data. It also examines common communication protocols used in IoT like UART, SPI, I2C and CAN that allow different devices to connect and exchange information over a network.
Internet of Things(IoT) - Introduction and Research Areas for ThesisWriteMyThesis
Internet of Things(IoT) is the latest technology making its presence felt in the world. There are various research areas for IoT thesis for M.Tech and Ph.D. Find out the latest topics for thesis and research here.
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.
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.
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
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.
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.
The document discusses trends related to the Internet of Things (IoT) and cybersecurity. It provides definitions and statistics about the growing IoT landscape, including predictions that 50 billion devices will be connected by 2020. It also discusses the financial value of IoT being in the trillions of dollars annually by 2025. Other sections cover five key areas of focus for IoT, including consumer, industrial, networking, analytics, and autonomous technologies. The document outlines technology trends like automation, robotics, AI, and 3D printing that are enabling IoT. It also discusses policy issues, enablers of IoT like lower sensor/bandwidth costs, and vertical areas like smart cities, transportation, health, and more. Cyber
The document is a presentation from PwC on emerging technologies. It discusses how 8 key technologies are revolutionizing businesses: 3D printing, artificial intelligence, augmented reality, blockchain, drones, internet of things, robotics, and virtual reality. It provides examples of how each technology is being used in practice. The presentation notes that these technologies are converging to create new innovations, and that to stay ahead businesses need to invest in more than one technology as single technologies are no longer enough. It concludes by encouraging businesses to start exploring these technologies.
The document discusses the Internet of Things (IoT) and how it will benefit the GCC region. The IoT is based on connecting physical objects to the internet to facilitate communication between devices, machines, people, and things. Advances in big data analytics are enabling the IoT. The GCC will benefit from the IoT through developing smart cities and new economic opportunities. The IoT is expected to create $14.4 trillion in economic value by 2022 and spur new industries and business models worldwide, including in the GCC as it diversifies its economy.
AI-SDV 2020: AI, IoT, Blockchain & Co: How to keep track and take advantage o...Dr. Haxel Consult
The presentation first addresses 6 key questions: Where do we stand with the diversification of AI? Machines are getting better at understanding - where are we with writing? Has AI Research hit a wall in 2020? What's the progress made in AI ethics? Could synthetically created data make AI cheaper? And: Are deep fake deployments of AI becoming more insidious? The presentation then moves on to discuss the 4th generation of AI: Artificial Intuition. It discusses the lines of effort in AI of the US Government and concludes with three actualities on AI-based decision making, COVID-loneliness detection and extrapolation of AI into the long run.
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
Technological Innovation System is a theory developed to define the nature and pace of technological advancement.
For more details, visit : https://mitidinnovation.com/recreation/evolution-of-technological-innovation-system/
Technological developments over human history are discussed, from the Big Bang to modern times. Key technologies that have shaped history include agriculture, the Industrial Revolution, and the Information Age. Recent technologies like the Internet of Things, artificial intelligence, robotics, and digitalization are increasingly impacting society, business, and the workforce. While automation may displace some jobs, it will also create new opportunities and significantly boost productivity and economic growth. Organizations need to prepare for the digital disruption that these technologies will bring.
This document provides an introduction to artificial intelligence and its applications in enterprises. It discusses the growth of the AI market and how increased data and computing power are helping to avoid another "AI winter" period. The document defines key AI-related terms like artificial intelligence, machine learning, and deep learning. It also outlines some common enterprise applications of AI like natural language processing, computer vision, and chatbots. The introduction concludes by stating that AI will impact every industry and that businesses need to incorporate AI to remain competitive.
The fourth stage of the Industrial Revolution is upon us due to the far-reaching integration, accelerated by the Internet of Things, of Operational Technology (OT) and Information Technology (IT). This creates completely new opportunities as a result of new combinations of mental, physical and mechanical work by integrating the internet, sensors and embedded systems.
The Internet of Things enabled IT/OT convergence leads to cost reduction as a consequence of predictive maintenance, speed and intelligence, thanks to Machine-to-Machine communication and improved forms of Human-Machine Interaction. M2M interaction between and within machines and systems is the cyber-physical heart of the Fourth Industrial Revolution.
How is Artificial Intelligence changing the Manufacturing Industry?Jacklin Berry
Manufacturing and industry are changing with the introduction of AI, IoT, and other automated technologies. We have arrived to a new, augmented age, in which Artificial Intelligence gains a new role. The future holds a generated era in which artificial intelligence comes up with its own designs, its own ideas, its own products instead of all our tools being passive, us telling them what to do and they are doing it.
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.
This document discusses digital transformation and the role of humans in an increasingly digital world. It explains that digitalization means using digital technologies to change business models and create new revenue opportunities. It then outlines many developing digital technologies from artificial intelligence to augmented reality. While these technologies may change work and society, the document argues that humans will still be needed to provide balance, constant learning, and human-centered perspectives in developing new technologies and business models.
We are inundated with tech buzz words –cloud computing, big data, predictive analytics. They might be the next “big thing” for your business, if your methods of data capture and manipulation are world-class. This practical session will explore ways you can fully leverage these trends.
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
<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
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.
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
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
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!
Build applications with generative AI on Google CloudMárton Kodok
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Impact of IoT
1. The Impact of IoT
Major Industry Disruptions
April, 2017
2. 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
HELPING YOU CREATE ARTIFICIAL INTELLIGENCE INFUSED APPS & SERVICES
2
Applied AI Strategy
Product Management
From Build To Launch
Process Mentoring
Invent, Learn, Turn
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Today
3
Internet of
Things
Innovation
driven change
Artificial
Intelligence
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4
Compute
Power
Data
Speed
Connecti-
vity
Shrinking
Size
The 21st Century: a Confluence of Accelerating Revolutions
by Ray Kurzweil
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8
5 y
2020
20% efficient
$15,000 in gas
2,000+ moving
parts
2025
95% efficient
$1,500 in gas
18 moving parts
Greater torque
$30k unsubsidized
GAS
AUTO
ELECTRIC CAR
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9
50+ billion
connected
things
by 2020 Inflexion
10. Internet of Things
“…in retrospect it looks like the
rapid growth of the World Wide
Web may have been just the
trigger charge that is now setting
off the real explosion, as things
start to use the Net.”
Neil Gershenfeld
“When Things Start to Think”
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"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.
- Neil Gross, Business Week
“
11
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12
Internetworking of connected devices
In order to collect and exchange data
So we can improve efficiency,
accuracy and reduce human
intervention
Leading to increased automation in
nearly all fields
WHAT IS IOT?
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HOW BIG
IS THE
IMPACT?
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
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Typical ML Cycle
Historical
source data
Predicted
outcomes
Incident
Data
Test data
Training data
80%
20%
Machine
Learning
Training
Machine
Learning
Models
Model weights
Quality Metric
Predicted
outcomes
25. “I am in the camp that is concerned about
super intelligence. First the machines will do a
lot of jobs for us and not be super
intelligent. That should be positive if we
manage it well. A few decades after that
though the intelligence is strong enough to be
a concern. I agree with Elon Musk and some
others on this and don’t understand why some
people are not concerned.”
Bill Gates
26. “Success in creating AI would be the biggest
event in human history,…”
“Unfortunately, it might also be the last, unless
we learn how to avoid the risks. In the near
term, world militaries are considering
autonomous-weapon systems that can choose
and eliminate targets.”
“…humans, limited by slow biological
evolution, couldn’t compete and would be
superseded by A.I.”
Stephen Hawking
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27
Partnership on Artificial
Intelligence to Benefit People
and Society
28.
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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
29
Thank You
Get in touch with us!
29
Karl Seiler |
President
PIVIT – TURN
SMART
karl@piviting.com
Piviting.com
@pivitguru
+321 750 5165
Editor's Notes
Thanks to the folks at SCTC for having me here to talk to you today.
I hope to give you some insights into the big change impact coming with the Internet of Things. Where it is headed and why you will want to pay attention.
I am Karl Seiler, president of a consulting company PIVIT. PIVIT helps organizations adopt applied Artificial Intelligence, technical product build through launch, and lean/agile methodology. I am currently helping launch a new company called ZONTAL. I am VP of AI at Big Data Florida, and co-founder of Central Florida Machine Learning
Today I am going to quickly talk about the acceleration of innovation and examples of technology driven disruptions, IoT as representative of one such disruptive change.
The Artificial Intelligence revolution helping make IoT work smart.
We live in a world full of technical innovation that is accelerating change.
This increasing rate of change is impacting civilization as we know it across many fronts.
More compute power at a lower cost.
The rise of connectivity, aka the Internet’s reach.
Increases in how fast we can more large amounts of data across that connectivity.
The smaller physical scale at which engineering is able to work.
To me this means in essence that you live in a sea of change never seen before. That your children and grandchildren will live a life unimaginable to us today.
Some examples of disruptive change. We watch for when a technology transitions from a try and fail state of infancy, to an inflexion point that changes the economics and capability and where the existing business models are significantly disrupted.
Market insiders rarely see it coming or call the timing right.
Often and increasingly the expansion phase is surprisingly swift. Leading quickly to saturation & maturity.
An example.
From a world of mostly horses to mostly cars? Duration of the expansion phase? Guess?
13 years
A world where the landline telephone dominates to cell phone dominance (varies per country)
Expansion phase ?
Only 7 years
One more.
An inflexion you are currently in. Gas car to electric car.
Been in the works for a long time. But the numbers now make it economically inevitable. Especially in the most populated countries.
Projected transition 5 years. Electric has more torque, massively more efficient, 1/10th the cost, orders of magnitude less moving parts. The cost curve is rapidly driving right down though the heart of the gas car’s benefits model.
And here is the inflexion we are in over the next few years as the IoT adoption curve bends up.
As one metric we anticipate 50 billion internet connected devices in the next 3 years. Zooming up from there.
So what is this new beast!
Neil’s quote here portends that the Internet was just a triggering event, a catalyst for IoT
One way to think about IoT is as an electronic planetary sensory skin built on the scaffold of the Internet
What is IoT?
It is the internetworking of connected devices, in order to collect and exchange data.
So we can improve efficiency, accuracy and reduced human intervention.
Ushering in revolutionary automation in nearly all fields.
Why does it matter so much. Basically it allows us to see and respond to patterns we could not ever see before.
Here is a new pattern. 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 fastest. The kitchen.
What is impacted by IoT
Manufacturing is number 1 – automation. Supply chain optimization
IT – voice
Retail - location
Finance and insurance – wellness and driving
Healthcare
Some data:
20-50 billion connected devices by 2020.
$6 trillion to be spent on IoT in the next 5 years
For companies : lower costs, improve productivity and new markets
For Governments better quality of life
$15 billion was already spent of smart home products in 2015
An industrial impact of $2 trillion
$500 billion per year in driverless vehicle
$1 trillion per year in the smart city
$2 trillion per year in the smart factory
And $100 billion per year in the smart office
Big stuff
Lets explore the working parts of IoT. It is a layer cake.
From the bottom up.
1 - The things, devices, sensors and controllers. Low power, small, compute strong, sensitive, ubiquitous
2 – connectivity. The hop. Bluetooth, Wi-Fi, hubs, etc.
3 – The edge. Local processing and analysis for faster reaction time that can not cycle up to the cloud and back in time. The fly by wire car is the best example. Also, called fog computing.
4 – data accumulation – where does the data go, cloud, NAS, SAN, public / private models, hybrids, elastic capacity
5 – Data abstraction – your data, my data, cohorts of data, control, access, security of the stored asset, backup recovery, retention policies
6 – the application layer, trending, categorization, classification, machine learning, decision automation, control commands
7 – Collaboration and processes – integration with business processes, transactions, other systems integration across the enterprise, etc.
Here is a view of what kinds of things IoT sensors can sense.
Light, movement, power, flow, force, position, temperature, moisture, sound, chemicals.
Sensors are a powerful extension of our own senses.
Coupled with data and pattern analysis, we can learn deep things from small sources.
Did you know a motion detector (like a fitbit) can tell if you are depressed?
What are the problems with IoT?
Here are some
#1 security
More vulnerability
More data in flight
More loss of privacy
#2 automation accidents
#3 data volume
#4 ethical stumbles
So lets talk a little about the rise of AI as it relates to IoT.
AI is not some future. It is here. Now and 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.
AI covers a broad sweep of technologies. It is algorithms that mimic human thinking. To power IoT most AI current activity is in machine learning platforms, natural language recognition, voice and audio pattern analysis, biometrics pattern detection, and text analytics.
How do machines learn. Rather how do we train machines. The key is data. Some historical reference set is split 80 / 20 for training data and test data is set aside. A model is selected and tuned using data science and or training algorithms. Creating a model. Real incident data is run through the model, results are predicted. Results are measured against the test data for quality. New model weights are adjusted. The model is updated. Testing and model tuning cycles until good enough.
With machine learning success is less about the greatest algorithm and is more about the amount of data available to train from and how good that data is. Data science and data wrangling is mostly about understand good versus bad data and knowing how to work with model options to converge on success.
Deep Learning Nets is a breakthrough approach yeilding impressive results. It is a layered approach that learns features. Given an image low layer might learn to recognize a feature such as a line.
A higher layer may learn to see groups of lines as a eye, nose, mouth.
A higher layer may learn that groups of face parts means a human face.
A higher layer may learn your face versus my face versus the bad guy’s face.
Given the rising concerns about super intelligence, new organizations are rising to address how to manage, contain and make safe these capabilities.
One such is Elon Musk-backed Open AI
Another is the partnership on AI to benefit people and society
So with every great leap forward, we often stumble, cause problems, clamp down, and eventually figure it out. We will stumble. We will not slow down because of the economic imperatives.
Lastly I recommend that when you think about IoT, do not think about your sports gear. That is nice and all, but the big impact will be in the combined resources represented in large part by the modern city.
The smart building aggregates up in part to the push for smart cities. Cities start to vie with other cities to attract talent and business due to the optimized transport, low cost of energy, integrated health access systems, responsive security systems, flexibility designed in for events, etc.
Welcome to the chaning world.
Thanks You all for listening. Again, I am Karl Seiler from PIVIT. Hope to hear from you.