The document discusses how computing is impacting all areas of society and the future. It makes three key points:
1) Computing is integrated into nearly all industries and fields of study. All subjects can benefit from including computing in their curriculum and all industries need IT workers.
2) Careers in computing are in high demand and pay well. Starting salaries for many computing jobs like data security analysts and mobile developers are comparable or higher than careers like engineering and law.
3) Computing will continue transforming society and industries in the future. Many technologies are emerging like virtual reality, drones, 3D printing and self-driving cars that will impact jobs, education and more. The future will be shaped by computing innovations and
This document provides an overview of new and emerging technologies, both currently available and those anticipated in the future. It discusses how technologies have increasingly become mobile and cloud-based in recent years. Examples highlighted include tablets, smartphones, voice commands, augmented reality, big data, 3D printers, and technologies that could make physical media obsolete. The document urges keeping up with changing technologies through various news sources, conversations with IT professionals, and hands-on experimentation.
Technology provides tools that make communication and production easier in the workplace. It saves time by automating tasks, improves communication globally, and creates new jobs through innovation. However, it also presents disadvantages like job loss, distraction, and potential addiction or laziness. While technology is essential, it's important that humans maintain control over technology and don't let it negatively impact productivity or replace human workers.
The document provides an overview of a presentation on mobile UX essentials. Some key points:
- It discusses similarities and differences between designing for web and mobile, noting mobile's unique context of environment and limited input.
- Three important attributes of great mobile experiences are outlined: being uniquely mobile, sympathetic to context, and allowing interfaces to "speak their power".
- Design principles are proposed such as focusing on what mobile can do well and understanding relationships of place, time and context.
- Activities are presented to prototype concepts that pivot users through information and allow for exploration based on identified user needs.
The researchers conducted a study depriving participants of PC internet access for 4 days and only allowing mobile internet access to understand needs and identify design implications for the mobile web. Two key findings emerged: 1) the mobile experience favors predictability over exploration due to form factors and users want information, not web pages due to usability issues on mobile. The researchers recommend designing for partial attention, interruptibility and privileging information delivery over traditional web pages.
This document provides an overview of artificial intelligence (AI) and machine learning. It begins by defining AI as computer systems able to perform cognitive tasks like reasoning, decision making, perception, and language understanding. It then discusses what AI is good at, including classification, pattern recognition, prediction, and information retrieval. The document also covers different types of machine learning algorithms like supervised and unsupervised learning. It aims to demystify key AI concepts and discuss opportunities for applying AI in the chemical industry.
The document discusses how computing is impacting all areas of society and the future. It makes three key points:
1) Computing is integrated into nearly all industries and fields of study. All subjects can benefit from including computing in their curriculum and all industries need IT workers.
2) Careers in computing are in high demand and pay well. Starting salaries for many computing jobs like data security analysts and mobile developers are comparable or higher than careers like engineering and law.
3) Computing will continue transforming society and industries in the future. Many technologies are emerging like virtual reality, drones, 3D printing and self-driving cars that will impact jobs, education and more. The future will be shaped by computing innovations and
This document provides an overview of new and emerging technologies, both currently available and those anticipated in the future. It discusses how technologies have increasingly become mobile and cloud-based in recent years. Examples highlighted include tablets, smartphones, voice commands, augmented reality, big data, 3D printers, and technologies that could make physical media obsolete. The document urges keeping up with changing technologies through various news sources, conversations with IT professionals, and hands-on experimentation.
Technology provides tools that make communication and production easier in the workplace. It saves time by automating tasks, improves communication globally, and creates new jobs through innovation. However, it also presents disadvantages like job loss, distraction, and potential addiction or laziness. While technology is essential, it's important that humans maintain control over technology and don't let it negatively impact productivity or replace human workers.
The document provides an overview of a presentation on mobile UX essentials. Some key points:
- It discusses similarities and differences between designing for web and mobile, noting mobile's unique context of environment and limited input.
- Three important attributes of great mobile experiences are outlined: being uniquely mobile, sympathetic to context, and allowing interfaces to "speak their power".
- Design principles are proposed such as focusing on what mobile can do well and understanding relationships of place, time and context.
- Activities are presented to prototype concepts that pivot users through information and allow for exploration based on identified user needs.
The researchers conducted a study depriving participants of PC internet access for 4 days and only allowing mobile internet access to understand needs and identify design implications for the mobile web. Two key findings emerged: 1) the mobile experience favors predictability over exploration due to form factors and users want information, not web pages due to usability issues on mobile. The researchers recommend designing for partial attention, interruptibility and privileging information delivery over traditional web pages.
This document provides an overview of artificial intelligence (AI) and machine learning. It begins by defining AI as computer systems able to perform cognitive tasks like reasoning, decision making, perception, and language understanding. It then discusses what AI is good at, including classification, pattern recognition, prediction, and information retrieval. The document also covers different types of machine learning algorithms like supervised and unsupervised learning. It aims to demystify key AI concepts and discuss opportunities for applying AI in the chemical industry.
The document discusses how technology has changed and affected behavior. It will cover how mobile technology has evolved, how people now access the internet through various devices, and how this has impacted behavior. It will then discuss approaches to creating better mobile products and building mobile apps.
Webinar on AI in IoT applications KCG Connect Alumni Digital Series by RajkumarRajkumar R
The Artificial Intelligence in IoT Applications. Take your first step towards a bright future with our renowned alumnus,
Prof R. Raj Kumar on AI for IoT Applications.
He is an award wining author of the book, ‘India 2030’.
To get access to the webinar kindly contact your respective department heads.
Looking forward to having you on the webinar.
.
.
.
#KCGCollege #KCGStudentlife #KCGConnect #Education #EmergingTechnologies #ArtificialIntelligence #IoT #MachineLearning #BlockChain #ElectricVehicle #QuantumTechnology #CAD
ICT refers to technologies that provide access to information through digital devices and computer systems. It involves the transmission of information and processing of data, including storing, retrieving, sending, receiving, and searching for information. Computers have evolved through 5 generations from vacuum tubes to integrated circuits and microprocessors. ICT is now used widely in education, banking, industry, and commerce for functions like e-learning, online banking, automation, and e-commerce. While ICT has enabled faster and cheaper communication globally, it can also cause social and health issues if not implemented properly.
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...Carol Smith
This document discusses a presentation on demystifying artificial intelligence and solving difficult problems. The presentation covers topics such as why AI experiences can be challenging, what AI is, different types of machine learning, how humans teach and monitor AI systems, ensuring AI is designed responsibly, and communicating about AI systems. It uses examples such as a hypothetical lawn care treatment selection system to illustrate concepts around data collection and training, potential biases, and unintended consequences that can arise.
The document discusses the societal impact of information technology. It provides examples of how IT is used in various sectors like banks, education, industry, commerce, hospitals, homes, and entertainment. Some key impacts and uses of IT mentioned include online banking, computer-based learning, automation in industry, electronic health records, home entertainment systems, and special effects in media. The document also notes both advantages of IT like increased efficiency and improved communication, as well as disadvantages such as unemployment, privacy issues, and negative health impacts from excessive screen time.
Introduction to Artificial IntelligenceSanjay Kumar
This presentation talks about what is Artificial Intelligence, what are key Algorithms (CNN, RNN, Reinforcement Learning), their applications. AI use cases such as detecting fish species and Spoting Distracted Driver
The document discusses Deloitte Consulting LLP's Enterprise Science offering which employs techniques such as machine learning, data science and advanced algorithms to create solutions for clients. It provides three types of cognitive services: cognitive automation which uses natural language processing to automate processes; cognitive engagement which applies machine learning to personalize customer interactions; and cognitive insight which uses data science and machine learning to detect patterns and support business performance. The document provides contact information for two individuals, Plamen Petrov and Rajeev Ronanki, for more details on Enterprise Science.
This document discusses introduction to information and communication technology (ICT). It begins by defining ICT and its evolution from early writing systems to modern computers and networking. It then examines the usage of ICT in different aspects of everyday life such as education, banking, industry and e-commerce. The differences between computerized and non-computerized systems are highlighted. The impacts of ICT on society and issues around computer ethics, laws, crime and security are also summarized.
How do you design a mobile money service for people in rural Uganda who’ve never had a bank account?
How do you test the usability of a mobile phone’s address book for users in rural India who’ve never had an address… yet alone an analog address book?
As cheap PCs and inexpensive mobile phones flood the global market, usability and user experience professionals will encounter more and more questions like these. Questions that challenge not only our research tools and methodologies, but our fundamental assumptions about how people engage with technology.
In this keynote, Rachel will share her thoughts on the challenges and opportunities the current cultural watershed will present to our industry as well as the metamorphosis our field must undergo in order to create great experience across different cultures.
This document provides an overview of artificial intelligence and its applications. It begins with an introduction defining AI as giving machines human-like thinking abilities. It then discusses how AI works through techniques like planning, pattern recognition, ontology, robotics, and more. Applications of AI discussed include medicine, the military, games, language processing, and expert systems. The document concludes with predictions for AI's future role in technologies like telephone translation, expanded use of expert systems, passing the Turing test, and research assistants.
This document provides an overview of artificial intelligence (AI) opportunities and dangers for business. It discusses how AI is dominating technology focus and ushering in an intelligent automation age. The dangers section addresses issues like existential risks, data monopolies, and potential solutions like decentralization and data taxation. The opportunities section outlines many business areas impacted by AI like marketing, customer service, and workflow automation. It provides recommendations for enterprises to create an AI strategy and sense-and-respond framework to generate revenue and optimize operations using AI.
Information and communication technology (ICT) has significantly impacted various industries and aspects of modern life. ICT has both benefits and drawbacks. It has created new jobs like programmers and web designers, but has also eliminated some jobs that can be replaced by automation. While ICT has increased efficiency and flexibility, workers need constant retraining and jobs are less stable. ICT allows people to work remotely but can also enable social isolation. Organizations have become highly dependent on ICT, and failures or disruptions could seriously impact operations.
AI needs UI/UX discusses challenges with designing user interfaces for artificial intelligence and autonomous technologies. It notes that as AI capabilities continue advancing, UI/UX designers must find ways to visually support and establish trust in AI. The document presents a 3+1 design philosophy for autonomous vehicles that ensures users understand the vehicle's state and decision-making. It argues that combining UI/UX and AI will allow products to intuitively serve each user's unique needs as these systems grow smarter over time.
Information Technology, The Internet, and YouAjboyDiog
The five parts of an information system are: people, procedures, software, hardware, and data. Connectivity allows computers to connect and share information, expanding their capabilities. The document discusses system software, which enables application software to interact with computer hardware, and application software, which can be general-purpose or special-purpose. It provides examples of features in the book to help readers become competent and knowledgeable with information technology.
Artificial intelligence (AI) is defined as intelligence demonstrated by machines in contrast to the natural intelligence displayed by humans. AI is the study of ideas that enable computers to be intelligent by learning new concepts and tasks, reasoning and drawing useful conclusions, and understanding natural language. The evolution of AI has progressed slowly over time with advances in technology. There are different approaches to creating AI systems and various applications of AI in fields such as computer science, aviation, finance, and more.
Innovative Technologies and Tech TrendsBrian Pichman
RAILS Webinar on Innovative Technologies and Tech Trends
What are the current technology trends that everyone seems to be talking about? Join Brian Pichman of the Evolve Project as he leads us on a journey of technology and how you and your library can remain ahead as the world continues to innovate. Throughout this session, we will discuss various tech trends from home automation to robotics to wearables. Learn what “big data” and “data curation” are all about; discover gesture based computing, and what NFCs and RFIDs mean to us in the future. We will discussion how these technologies can impact libraries and which technologies we should embrace. At the end of this webinar; learn what is coming out in the future and also how you can stay informed of what’s up and coming. Presenter: Brian Pichman
Understanding artificial intelligence and it's future scopeChaitanya Shimpi
In the field of computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.
by Samantha Adams, Met Office.
Originally purely academic research fields, Machine Learning and AI are now definitely mainstream and frequently mentioned in the Tech media (and regular media too).
We’ve also got the explosion of Data Science which encompasses these fields and more. There’s a lot of interesting things going on and a lot of positive as well as negative hype. The terms ML and AI are often used interchangeably and techniques are also often described as being inspired by the brain.
In this talk I will explore the history and evolution of these fields, current progress and the challenges in making artificial brains
From the FreshTech 2017 conference by TechExeter
www.techexeter.uk
Artificial Intelligence
The document provides an overview of artificial intelligence, including its definition, history, current status, future possibilities, and challenges. It defines AI as the study of computer systems that attempt to model human intelligence. The history notes Alan Turing's seminal work in the 1950s and the founding of AI at the 1955 Dartmouth workshop by John McCarthy. Currently, AI is used in applications like mobile phones, games, GPS, robotics, and more. The future may include AI assisting in education, media, customer service, transportation, manufacturing, and healthcare. However, challenges remain around issues like data bias, storage needs, and unemployment.
Presentation given to AGCOM 590 at Kansas State on Oct. 27, 2011. Covers new technologies that are available now and in the future and how they can be used in the workplace. Also gives information on evaluating and adopting new technology in the workplace with a case study on iPads.
The document discusses how technology has changed and affected behavior. It will cover how mobile technology has evolved, how people now access the internet through various devices, and how this has impacted behavior. It will then discuss approaches to creating better mobile products and building mobile apps.
Webinar on AI in IoT applications KCG Connect Alumni Digital Series by RajkumarRajkumar R
The Artificial Intelligence in IoT Applications. Take your first step towards a bright future with our renowned alumnus,
Prof R. Raj Kumar on AI for IoT Applications.
He is an award wining author of the book, ‘India 2030’.
To get access to the webinar kindly contact your respective department heads.
Looking forward to having you on the webinar.
.
.
.
#KCGCollege #KCGStudentlife #KCGConnect #Education #EmergingTechnologies #ArtificialIntelligence #IoT #MachineLearning #BlockChain #ElectricVehicle #QuantumTechnology #CAD
ICT refers to technologies that provide access to information through digital devices and computer systems. It involves the transmission of information and processing of data, including storing, retrieving, sending, receiving, and searching for information. Computers have evolved through 5 generations from vacuum tubes to integrated circuits and microprocessors. ICT is now used widely in education, banking, industry, and commerce for functions like e-learning, online banking, automation, and e-commerce. While ICT has enabled faster and cheaper communication globally, it can also cause social and health issues if not implemented properly.
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...Carol Smith
This document discusses a presentation on demystifying artificial intelligence and solving difficult problems. The presentation covers topics such as why AI experiences can be challenging, what AI is, different types of machine learning, how humans teach and monitor AI systems, ensuring AI is designed responsibly, and communicating about AI systems. It uses examples such as a hypothetical lawn care treatment selection system to illustrate concepts around data collection and training, potential biases, and unintended consequences that can arise.
The document discusses the societal impact of information technology. It provides examples of how IT is used in various sectors like banks, education, industry, commerce, hospitals, homes, and entertainment. Some key impacts and uses of IT mentioned include online banking, computer-based learning, automation in industry, electronic health records, home entertainment systems, and special effects in media. The document also notes both advantages of IT like increased efficiency and improved communication, as well as disadvantages such as unemployment, privacy issues, and negative health impacts from excessive screen time.
Introduction to Artificial IntelligenceSanjay Kumar
This presentation talks about what is Artificial Intelligence, what are key Algorithms (CNN, RNN, Reinforcement Learning), their applications. AI use cases such as detecting fish species and Spoting Distracted Driver
The document discusses Deloitte Consulting LLP's Enterprise Science offering which employs techniques such as machine learning, data science and advanced algorithms to create solutions for clients. It provides three types of cognitive services: cognitive automation which uses natural language processing to automate processes; cognitive engagement which applies machine learning to personalize customer interactions; and cognitive insight which uses data science and machine learning to detect patterns and support business performance. The document provides contact information for two individuals, Plamen Petrov and Rajeev Ronanki, for more details on Enterprise Science.
This document discusses introduction to information and communication technology (ICT). It begins by defining ICT and its evolution from early writing systems to modern computers and networking. It then examines the usage of ICT in different aspects of everyday life such as education, banking, industry and e-commerce. The differences between computerized and non-computerized systems are highlighted. The impacts of ICT on society and issues around computer ethics, laws, crime and security are also summarized.
How do you design a mobile money service for people in rural Uganda who’ve never had a bank account?
How do you test the usability of a mobile phone’s address book for users in rural India who’ve never had an address… yet alone an analog address book?
As cheap PCs and inexpensive mobile phones flood the global market, usability and user experience professionals will encounter more and more questions like these. Questions that challenge not only our research tools and methodologies, but our fundamental assumptions about how people engage with technology.
In this keynote, Rachel will share her thoughts on the challenges and opportunities the current cultural watershed will present to our industry as well as the metamorphosis our field must undergo in order to create great experience across different cultures.
This document provides an overview of artificial intelligence and its applications. It begins with an introduction defining AI as giving machines human-like thinking abilities. It then discusses how AI works through techniques like planning, pattern recognition, ontology, robotics, and more. Applications of AI discussed include medicine, the military, games, language processing, and expert systems. The document concludes with predictions for AI's future role in technologies like telephone translation, expanded use of expert systems, passing the Turing test, and research assistants.
This document provides an overview of artificial intelligence (AI) opportunities and dangers for business. It discusses how AI is dominating technology focus and ushering in an intelligent automation age. The dangers section addresses issues like existential risks, data monopolies, and potential solutions like decentralization and data taxation. The opportunities section outlines many business areas impacted by AI like marketing, customer service, and workflow automation. It provides recommendations for enterprises to create an AI strategy and sense-and-respond framework to generate revenue and optimize operations using AI.
Information and communication technology (ICT) has significantly impacted various industries and aspects of modern life. ICT has both benefits and drawbacks. It has created new jobs like programmers and web designers, but has also eliminated some jobs that can be replaced by automation. While ICT has increased efficiency and flexibility, workers need constant retraining and jobs are less stable. ICT allows people to work remotely but can also enable social isolation. Organizations have become highly dependent on ICT, and failures or disruptions could seriously impact operations.
AI needs UI/UX discusses challenges with designing user interfaces for artificial intelligence and autonomous technologies. It notes that as AI capabilities continue advancing, UI/UX designers must find ways to visually support and establish trust in AI. The document presents a 3+1 design philosophy for autonomous vehicles that ensures users understand the vehicle's state and decision-making. It argues that combining UI/UX and AI will allow products to intuitively serve each user's unique needs as these systems grow smarter over time.
Information Technology, The Internet, and YouAjboyDiog
The five parts of an information system are: people, procedures, software, hardware, and data. Connectivity allows computers to connect and share information, expanding their capabilities. The document discusses system software, which enables application software to interact with computer hardware, and application software, which can be general-purpose or special-purpose. It provides examples of features in the book to help readers become competent and knowledgeable with information technology.
Artificial intelligence (AI) is defined as intelligence demonstrated by machines in contrast to the natural intelligence displayed by humans. AI is the study of ideas that enable computers to be intelligent by learning new concepts and tasks, reasoning and drawing useful conclusions, and understanding natural language. The evolution of AI has progressed slowly over time with advances in technology. There are different approaches to creating AI systems and various applications of AI in fields such as computer science, aviation, finance, and more.
Innovative Technologies and Tech TrendsBrian Pichman
RAILS Webinar on Innovative Technologies and Tech Trends
What are the current technology trends that everyone seems to be talking about? Join Brian Pichman of the Evolve Project as he leads us on a journey of technology and how you and your library can remain ahead as the world continues to innovate. Throughout this session, we will discuss various tech trends from home automation to robotics to wearables. Learn what “big data” and “data curation” are all about; discover gesture based computing, and what NFCs and RFIDs mean to us in the future. We will discussion how these technologies can impact libraries and which technologies we should embrace. At the end of this webinar; learn what is coming out in the future and also how you can stay informed of what’s up and coming. Presenter: Brian Pichman
Understanding artificial intelligence and it's future scopeChaitanya Shimpi
In the field of computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.
by Samantha Adams, Met Office.
Originally purely academic research fields, Machine Learning and AI are now definitely mainstream and frequently mentioned in the Tech media (and regular media too).
We’ve also got the explosion of Data Science which encompasses these fields and more. There’s a lot of interesting things going on and a lot of positive as well as negative hype. The terms ML and AI are often used interchangeably and techniques are also often described as being inspired by the brain.
In this talk I will explore the history and evolution of these fields, current progress and the challenges in making artificial brains
From the FreshTech 2017 conference by TechExeter
www.techexeter.uk
Artificial Intelligence
The document provides an overview of artificial intelligence, including its definition, history, current status, future possibilities, and challenges. It defines AI as the study of computer systems that attempt to model human intelligence. The history notes Alan Turing's seminal work in the 1950s and the founding of AI at the 1955 Dartmouth workshop by John McCarthy. Currently, AI is used in applications like mobile phones, games, GPS, robotics, and more. The future may include AI assisting in education, media, customer service, transportation, manufacturing, and healthcare. However, challenges remain around issues like data bias, storage needs, and unemployment.
Presentation given to AGCOM 590 at Kansas State on Oct. 27, 2011. Covers new technologies that are available now and in the future and how they can be used in the workplace. Also gives information on evaluating and adopting new technology in the workplace with a case study on iPads.
It has been said that Mobiles +Cloud + Social + Big Data = Better Run The World. IBM has invested over $20 billion since 2005 to grow its analytics business, many companies will invest more than $120 billion by 2015 on analytics, hardware, software and services critical in almost every industry like ; Healthcare, media, sports, finance, government, etc.
It has been estimated that there is a shortage of 140,000 – 190,000 people with deep analytical skills to fill the demand of jobs in the U.S. by 2018.
Decoding the human genome originally took 10 years to process; now it can be achieved in one week with the power of Analytic and BI (Business Intelligence). This lecture’s Key Messages is that Analytics provide a competitive edge to individuals , companies and institutions and that Analytics and BI are often critical to the success of any organization.
Methodology used is to teach analytic techniques through real world examples and real data with this goal to convince audience of the Analytics Edge and power of BI, and inspire them to use analytics and BI in their career and their life.
2007 presentation to the exec board of a high street bank - the workplace of...Jerry Fishenden
This document discusses how technology is changing the nature of business and work. It argues that offices and traditional work models are becoming outdated as technology enables new flexible and distributed ways of working. The future of work involves ubiquitous connectivity, intelligent environments, and putting users and communities at the center. Organizations must embrace these digital transformations and rethink their strategies, operations, and talent to remain competitive in this new landscape.
This document discusses emerging technology trends in IT, including artificial intelligence, big data, internet of things, cloud computing, augmented reality and virtual reality, and blockchains. It provides examples of how these technologies are being applied and developed. It also discusses concepts like industrial intelligent automation, intelligent transportation systems, the future of work, and characteristics of future IT platforms.
Algorithm Marketplace and the new "Algorithm Economy"Diego Oppenheimer
Diego Oppenheimer discusses the rise of algorithm marketplaces and the new "algorithm economy". Key points include:
- Advances in machine learning, computer vision, speech recognition and natural language processing are enabling algorithms to interpret unstructured data at scale.
- Algorithm marketplaces allow algorithms to be hosted, discovered, monetized and composed modularly to address a wide range of use cases across many industries.
- The algorithm economy will lower barriers to applying machine intelligence and foster innovation as algorithms become reusable assets that creators and users can both benefit from.
1. This document discusses how computing is becoming more ubiquitous and moving from desktops and laptops to smartphones, wearables, IoT devices, and mixed reality.
2. It predicts that by 2030 there will be 1 trillion connected devices, with one device for every 6 square feet on average. This will require new ways for humans to interact with computers beyond traditional interfaces.
3. Several lessons can be learned from the military concept of OODA (Observe, Orient, Decide, Act) and from early experiments with consumer IoT devices like improving wireless networking and keeping software and device interactions simple. The future of IoT will require developing a "world model" to connect data from different devices and working
In this lecture I explain the differences between artificial intelligence, machine learning and deep learning; explain the main debates regarding automation of knowledge and service work and the risk cognitive bias; identify the main robot applications for knowledge and service work; and critically discuss five strategies for staying employed in the automation age. Lecture presented in 2017 at Loughborough University, School of Business and Economics for Business Systems module, final year undergraduate degree programme.
The document provides an overview of artificial intelligence (AI), including its history, definition, examples, advantages, and disadvantages. It traces the origins of AI concepts back to ancient Greece and discusses early milestones like the Turing test. Examples of modern AI applications mentioned include Google Maps, facial recognition, chatbots, and automated payments. While AI can reduce human error and perform dangerous tasks, disadvantages include high costs and an inability to think creatively.
Businesses across the world are rapidly leveraging the Internet-of-Things (#IoT) to create new products and services that are opening up new business opportunities and creating new business models.
The resulting transformation is ushering in a new era of how companies run their operations and engage with customers. However, tapping into the IoT is only part of the story [6].
For companies to realize the full potential of IoT enablement, they need to combine IoT with rapidly-advancing Artificial Intelligence (#AI) technologies, which enable ‘smart machines’ to simulate intelligent behavior and make well-informed decisions with little or no human intervention [6].
Integrating AI into IoT networks is becoming a prerequisite for success in today’s data-driven digital ecosystems. The only way to keep up with IoT-generated data and gain the hidden insights it holds is using AI as the catalyst of IoT. Watch this slides to understand how IoT and AI may work together.
Integrating AI into IoT networks is becoming a prerequisite for success in today’s data-driven digital ecosystems. The only way to keep up with IoT-generated data and gain the hidden insights it holds is using AI as the catalyst of IoT. Join this webinar to understand how IoT and AI may work together.
Rapid iteration for an Internet of ThingsStudioSFO
“Rapid Iteration for an Internet of Things – Tempo Automation”
Presented Wednesday, July 10, 2013
As rapidly as the fastest growing platform shifted from desktop to mobile, mobile itself now finds the attention shifting to a highly-diverse plethora of devices that are carried, worn, and used in brand new ways. New devices and ecosystems are emerging in entirely new form factors. Because their impact is often based on scale of use, device prototypers are now in need of ways to rapidly produce prototypes at scale. In short, this means rapidly iterating the Internet of Things.
Many fields already benefit from high speed iteration that scales – Lean Startup for business, Agile for software, and 3D printing for mechanical design. Tempo Automation has now developed a robot that brings this capability to electronics.
The current options for making low volumes of circuit boards are unattractive, to put it mildly. Either wait weeks to get a board back from a board house, or strain your fine motor skills trying to build multiple boards yourself. Tempo Automation aims to fix this problem with “Electronics Factory”, a reliable, easy to use, desktop robot. Think “MakerBot”, but optimized for electronics. The objective is to provide a robot that etch traces, applies solder paste, places components, reflows, and even tests. Tempo Automation releases each of these capabilities as they become available.
Our presenters, Co-founder and CEO Jeff McAlvay and Co-founder and CTO Markus Rokitta, will demo the latest production unit, and describe how rapid iteration will transform not only the startup landscape, but advance the impact of the emerging realm of things that generate and report connected data.
Jeff McAlvay, Co-founder and CEO, Tempo Automation (http://tempoautomation.com/). Previously, Jeff worked in industrial supply company McMaster-Carr’s leadership development program. There, his roles included warehouse operations design, sales, and product management. He currently runs the Bay Area Factory Tours Meetup group, and coordinates office hours that connect hardware startups with industry experts.
Markus Rokitta, PhD; Co-founder and CTO, Tempo Automation.
Markus received his PhD in Engineering from the University of Queensland in Australia. Since then, he has designed and manufactured a small form-factor MRI machine and has managed medical device programs at companies including Carl Zeiss and BIT Analytic Instruments, in countries including the US, Germany, and China.
Location:
Qualcomm Inc.
3165 Kifer Road Santa Clara,
This document discusses data science and the growing field of big data. It notes that data science uses scientific methods and processes to extract knowledge and insights from structured and unstructured data. It provides some key facts about the massive amount of data being generated every day from various sources like social media, internet transactions, sensors and devices. The document also discusses the differences between data science and computer science, with data science focusing more on analyzing large datasets to answer questions and find insights, while computer science focuses more on software development and engineering.
Data science is a multi-disciplinary field that uses scientific methods and processes to extract knowledge and insights from large amounts of structured and unstructured data. As the amount of data in the world grows exponentially, the need for data scientists to analyze this big data and discover useful patterns will also grow dramatically. By 2025, it is estimated that there will be over 200 zettabytes of cloud data storage worldwide and data science jobs are projected to be the highest paid and most in-demand jobs of the future.
George konstantakis iot and product design360mnbsu
The Internet of Things (IoT) may be at the core of the next Industrial Revolution! The socioeconomic implications of IoT, in general, are astounding. As with all disruptive technology, there are threats and opportunities that must be understood by business leaders. How do these implications relate to the needs of manufacturing businesses and the human resources that are intertwined with them? How can Product Design address those needs? This closing session will explore these questions and offer solutions.
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlPeter Udo Diehl
I'm excited to share my latest predictions on how AI, robotics, and other technological advancements will reshape industries in the coming years. The slides explore the exponential growth of computational power, the future of AI and robotics, and their profound impact on various sectors.
Why this matters:
The success of new products and investments hinges on precise timing and foresight into emerging categories. This deck equips founders, VCs, and industry leaders with insights to align future products with upcoming tech developments. These insights enhance the ability to forecast industry trends, improve market timing, and predict competitor actions.
Highlights:
▪ Exponential Growth in Compute: How $1000 will soon buy the computational power of a human brain
▪ Scaling of AI Models: The journey towards beyond human-scale models and intelligent edge computing
▪ Transformative Technologies: From advanced robotics and brain interfaces to automated healthcare and beyond
▪ Future of Work: How automation will redefine jobs and economic structures by 2040
With so many predictions presented here, some will inevitably be wrong or mistimed, especially with potential external disruptions. For instance, a conflict in Taiwan could severely impact global semiconductor production, affecting compute costs and related advancements. Nonetheless, these slides are intended to guide intuition on future technological trends.
Artificial intelligence or AI in short is the latest technology on which the whole world is working today. We at myassignmenthelp.net are providing help with all the assignments and projects. So when ever you need help with any work related to AI feel free to get in touch
This document provides tips for optimizing a LinkedIn profile to energize a job search. It notes that LinkedIn has grown to over 972 million members and discusses reasons for job seekers, employed individuals, and consultants to update their profiles. The document then provides advice on different sections of a LinkedIn profile, including using a professional photo, filling out headings and summaries completely, and incorporating keywords from one's industry and experience. It also recommends connecting with others on LinkedIn and joining relevant groups.
Denis Curtin seminar on improving your LinkedIn profile, April 20, 2023, 7 PM - 9 PM at St. John of the Cross Parish Center, 5005 Wolf Road, in Western Springs, IL. Sponsored by ICN.
The First Ten Days of your New Job, hybrid seminar/webinar presented by Denis Curtin on November 14, 2022. Material written by Bob Podgorski. Founder of the St. Hubert Job and Networking Ministry.
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PATH Webinar Announcement- Denis Curtin - Aug 9Denis Curtin
The summary is of a virtual event hosted by The PATH Group on August 9th to discuss how to optimize resumes for applicant tracking systems. The speaker, Denis Curtin, will share his expertise and over 20 years of experience in human resources and recruiting. He will provide recommendations on formatting resumes to be applicant tracking system friendly, avoiding common errors, and using tools to select the best keywords. The event is from 7-8:50pm CST on Zoom and registration is required in advance by contacting Fred Johnson.
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The First Ten Days of your New Job, hybrid seminar/webinar presented by Denis Curtin on November 8, 2021. Material written by Bob Podgorski. Founder of the St. Hubert Job and Networking Ministry.
Optimize Your Resume For ATS - SJEM 10-21-2021Denis Curtin
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This webinar was presented on October 21, 2021.
It was sponsored by the St. Joseph Employment Ministry.
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Presented on July 27, 2021, to the PATH Group.
Approximately 60 job seekers were in attendance.
Denis Curtin Webinar - July 27, 2021, 7 PMDenis Curtin
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LinkedIn Webinar, Denis Curtin, June 2021 Denis Curtin
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Better Resumes For Applying Online 2021Denis Curtin
Denis Curtin Webinar -
BETTER RESUMES FOR APPLYING ONLINE
Wednesday, January 13, 2021, 7:00 PM - 8:30 PM
When submitting your resume to target companies it will most likely go into an Applicant Tracking System (ATS) which is software that reads your resume and ranks it according to format and keywords.
A recent study indicates that up to 75% of qualified job seeker candidates are being eliminated because their resume did not follow the ATS rules.
This webinar presented by Denis Curtin will focus on these ATS rules and help keep your resume from ending up in the "Black Hole."
The Webinar is sponsored by the Arlington Heights Memorial Library.
The document provides tips for optimizing a LinkedIn profile for job searching. It recommends including a profile photo, filling out all profile sections with relevant details from your resume, joining relevant professional groups, obtaining recommendations, and including your LinkedIn URL on all job search materials to drive recruiters to your profile. The goal is to have a complete, keyword-optimized profile that clearly communicates your qualifications and indicates you are open to new opportunities.
Denis Curtin Webinar titled Energize Your Job Search Using The New LinkedIn Profile, presented on August 20, 2020, at 7 PM for the Indian Trails Public Library District.
Optimize Your Resume for Applicant Tracking SystemsDenis Curtin
Denis Curtin webinar, titled "Building a Resume the Finds Favor with the Applicant Tracking Systems" presented on Tuesday, August 11, 2020, during the PATH Group meeting.
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1. JOBSTHATWILL BE REPLACED
BY AI AND AUTOMATION
The impact of technology and
the changing work environment
Created by Bob Podgorski
2. Is this for real?
Statistics -
• $205 Billion Globally in 2020
• $35 Billion going into AI research through venture capital,
DOD, NASA
• China is investing $15 Billion today and has indicated it will
dominate the AI market by 2022.
• Russia, the EU and South Korea will invest $110 Billion by
the end of 2020
3. Let’s get some definitions straight
• Automation / Robotics:
- Machine operated performance
• Artificial Intelligence:
- Ability of Automation / Robotics to process real-time
information (Input) autonomously into new commands and
directions
• Smart Equipment:
-Tools used by humans and A/R with the ability to perform
operations that previously took enormous time to process or
complete
4. Let’s get some definitions straight (cont.)
• Collaborative Robotics:
Worker and machine work together to achieve an outcome
• Chatbot:
A computer generated conversation based on human reply
and/or query (Not Zoom Chat box)
• Virtual reality :
Imaging environments and situations through surround - visual
device projection
• 5G :
Exponentially fast communication – next generation from 4G
6. Each of these are moving fast toward
• Changes in how we connect with income producing
work
• Changes in the work we do
• More interface with automation, data analytics
• It can be done by a robot
• Changes in the place we do it
• It can be done remotely
7. Let’s look at how companies use AI in
recruitment
• IT’S A CHANGING WORLD…..
8. John receives an EMAIL
EmailTitled – Job Opportunity
J.O. – “Hello John –You don’t know me but my name is Jenny O. fromTaglog
Software, Inc., and I noticed your LinkedIn Profile. Are you still involved with
Software Security and Block Chain technology? It’s a growth area for us and I
have a question.” Jenny O.
John – “Yes, last 5 years in Cyber Security Coding and use of block chain tech.”
J.O. – “Great, we are located in Madison Wisconsin, just north of you and have
major clients in the financial industry. We are seeking a team lead software
developer, that could be a fit for you.Would you like to hear more?”
John – “go ahead…”
9. Email continues
• J.O. – “Our products protect a variety of financial transactions in the
investment industry. We have clients in the top ten investment firms in the
U.S. and top three Globally. Our projects are challenging, impactful –
working with a team of highly skilled Professionals.This could be something
you’d enjoy.Willing to look at Madison?– It’s a thriving, growing and young
community.” “Would include some international travel to client locations –
Any restrictions?”
• John – “No restrictions and sure, sounds interesting.”
• J.O. – By the way, we have a fun thing our employees are playing with – I’d
like your opinion on it. Could you take a minute?”
• John – “O.K.”
• J.O. – Here it is – Enjoy… runs about three minutes to play. (Gamification)
10. Entire conversation of J.O. = CHATBOT
• IS A COMPUTER GENERATED AI CONVERSATION
• LEADSTO A GAMIFICATION ASSESSMENT
• ONCE PASSED – NEXT STEP IS - J.O. ASKS JOHN IF HEWILLTAKE A
CALL FROM A DEPARTMENT HEAD AND BESTTIMETOTALK
• J.O. SCHEDULESTHE CALL AUTOMATICALLY
• AND,THANKS JOHN FOR HISTIME, INTEREST AND OUTSTANDING
TALENTS
ONE SIDED - HUMAN INTERFACE
11. RECRUITING CHATBOTS
already in use
• ARYA
• XOR
• IDEAL
• ALLY
• OLIVIA
• BRAZEN
• Army has – SGT STAR
• Georgia State Univ. has – Pounce
• Southerland Corp. hasTASHA
12. What it means to today’s worker
Staying current requires:
• Understanding the trends
• Becoming comfortable with smart machines
• Collaborating / communicating with machines
• Friendly acquisition, manipulation, analysis and use of data
• Changing rapidly with changes to SOP (Standard Operating
Procedure) and automation
13. The old world
• Smart equipment can be traced to popularity with the
introduction of gaming using computer chip interface -
Pong, Pac Man and Atari – 1970’s
• It goes back further to 1950’s with novelty simulations followed
by the 1960’s Chess matches, 3DTic-Tac-Toe, as computer for
other than mathematical and scientific data manipulation were
introduced to the world by the scientific community.
• Suddenly, science fiction became science reality
• Remember Nintendo,Wii, Xbox, PlayStation
• Today we have all the games you want on your smart phone
• Virtual reality is next
14. This was our introduction – the training ground
•Got us using devices - joy sticks, consoles, other than our
dial activated wall telephones.
•It led to bulky desk top computers followed by Laptops
then tablets and smart phones, virtual reality
•The evolution of automation begins – the evolution of
automation continues
15. The new world
Driven by “Moore’s Law”
“Technology (Hardware/Software) will not only continue to rapidly
advance -
but will double its computational capacity
every two years.”
16. What your smartphone can do today
• Took up an entire floor of a building, floor to ceiling, in 1952!
17. A new world on the job
• Every job now interfaces in some way, at some point, with a computer
operating system as well as stored and changing data
• Some interfaces are stationary, some are desk based, some are hand held
• Some are keyboard or stylus interface, some are voice activated
• We’ve adjusted well and embraced the keyboards, mouse and stylus as well
as finger to screen and talking to our machines
• We are adaptable - introduced to new software (changes) at least every six
months
• We are buyers of the latest technology communications devices for our
home, office, car, and boat
• Our communications devices are moving to 5G – strictlyVoIP from towers,
no more boxes in the back of your house messed with by field mice
18. Two of the jobs at risk
1. Telephone Repair Personnel
• Replaced by – in-store handheld device personnel – skilled more
in the system capability rather than the hardware
• Replaced byTowerTechnicians who will seldom need to climb,
maintain and repair – mostly modify with new technology –
reach new geography
• The airwaves will be flowing massively with data transactions,
calls, movies, music and games – all wireless transmissions
19. Two of the jobs at risk
2. Drivers – Autonomous vehicles will eliminate the need for –
• Truck drivers
• Uber | Lyft | Limo | Cab | Bus | Grubhub drivers
• UPS and Fed Ex drivers
• Delivery – like Pizza Hut and Domino’s
20. Let’s get back to AI
One other thing to know
WHAT IS A NEURAL NETWORK?
• This is the way your brain functions – it sees determines, senses – it
processes and we come up with a new perspective – we learn.
• Machines with AI (Neural Network) capability can learn faster than we can
and adjust faster than we can, using weighted mathematical computations
and memory
• NO CHESS PLAYER OR GO PLAYER CAN BEAT A COMPUTER
21. THE OXFORD STUDY
A new study titled:
“The Future of Employment: How Susceptible Are Jobs to
Computerization?,” by Dr Michael A. Osborne from Oxford
University’s Department of Engineering Science and Dr Carl
Benedikt Frey of the Oxford Martin School,
estimates that 47 percent of jobs in the US are “at risk” of
being automated in the next 20 years.
• That number is over 700,000 job titles that will disappear
23. These jobs at risk
Oxford University study predicts -
List of 20 jobs that are at serious risk
•Telemarketers
• Order Clerks
• LibraryTechnicians
• Insurance Appraisers, Auto
Damage
• Insurance Underwriters
• Loan Officers
• Brokerage Clerks
•Tax Preparers
• Cargo and Freight Agents
• Photographic ProcessWorkers
and Processing Machine Operators
• Watch Repairers
• MathematicalTechnicians
•Tellers
•Title Examiners, Abstractors, and
Searchers
• Hand Sewing Experts
• Data Entry Keyers
• New Account Clerks
• Umpires, Referees, and Other
Sports Officials
• Insurance Claims and Policy
Processing Clerks
•Timing Device Assemblers and
Adjusters
24. Theoretically
There is not one job that AI won’t impact or take over in the future
So, what is a society of people to do with no work?
• Find ways to use the data in unique and beneficial ways
• Keep the systems running – maintained
• Watch over man / machine interface
• Attention to physical and mental health
• Advance the systems in some capacity or capability – Moore’s
Law
25. The jobs that will be in demand will be in
• Emergency Management – natural disasters
• Data Analytic – new ways to use data
• SensorTechnology – miniaturizing / expanding
• Automation/Robotics – design for production
• Power – decreasing size, increasing capacity and battery life
• Nutritionist – study, combining, introducing
• Social Scientist – study and solutions to societal impact of
technology
• Physical Researchers – delving further into physical human
frailties
• PhysicalTherapists – bringing back what is temporarily lost
26. Let’s take
in-demand jobs further
• Surgical/Medical staff – using automated instruments
• Care giving – compassionate care and assistance
• Personal services – barbers, lawyers, judges, funeral arranger, jail monitors,
police/security, firefighters – but, all will be using greater automation
• Travel advisory – planning, arranging, booking
• Consultancy - Home décor / landscaping / HVAC
• Auto assistance – repair and maintenance
• Sales – demonstrations / equipment / Do-It-Yourself
• Power generation – monitors, engineers, technicians, installers
• Systems programmers – testing and tweaking the intelligence
• Ethics oversight – use ofAI/sensor human privacy, safety
27. The areas growing by leaps and bounds
• Sensors
• Being looked at today are dust sensors – particles as small as a spec of dust –
able to monitor and communicate what it senses.
• Today – smart watches, key fob health sensors, Echo/Google Home, Siri,
autonomous vehicles – with a thousand linked sensors, the size of a seed
• Processors / storage
• Being looked at today – beyond the cloud storage – DNA data storage
• Processors – ever smaller devices – density with shrinking size
• Cloud – to ….. ?
• Power sources – IoT (Internet ofThings)
• New sources – heat/light transfer, movement transfer, friction transfer,
chemical/vapor reaction, vibration
28. The social question
• Low skill jobs will be fully automated and eliminated
• Educated skill jobs will be specialized and in-demand for a time…?
• What does a society do to provide for its people – those who become non-
essential?
A few things to consider –
• Automation and AI will provide cheaper production, lower prices, and higher
quality/reliability –This equals =ABUNDANCE (so it’s projected)
• Sounds good -What could go wrong?
29. The meaning of work
FOR MANY OF US -
• Work brings identity
• Work brings purpose
• Work brings socialization
• Work brings satisfaction
• Work brings evolution
• Work brings income to purchase all that abundance
• Work brings savings for future retirement
30. If work goes away
We may have to rethink
• What defines us
• What drives us
• What is essential and what is frivolous
• How we socialize without work
• What is most important
• What we can afford
31. To answer -
the last question first
It brings in income – IF Job goes away, Income goes
away
• Discussion and experimentation with a universal guaranteed base income
for all
• A negative income tax – 1960’s
• Oakland CA,Yincombinator Company study of 100 started in 2016
• Experiments throughout the world – Canada, Asia, Africa, Europe,
Latin America, USA.
• The experiments are failing - Finland – removes motivation and inclusion
• Huge economic, social and societal consequences…
32. but
• If the future holds more reductions in the median wage
• More technology and fewer jobs
• What does that do to us in freeing us up of burden and drudgery?
• More time for family, education, recreation, global absorption, volunteering
• Finding meaning, purpose, challenge, reward (albeit intrinsic), socialization,
and growth.This could drive us to closeness again – where technology
tended to drive us apart.
• We can become creators, artists, innovators, discoverers, enlighteners,
entertainers, provocateurs
33. The androids are coming
• We need to be alert
• We need to prepare
• We need to be aware
• We need to be occupationally ready
• We need to grab hold of the remaining jobs – projected to be in-
demand
• We need to squirrel away income
34. The androids are coming
• Or we need to live a life without work perhaps on a subsidy –
provided the money is there to support it
• MOORE’S LAW will drive Automation and AI – sensors,
processors and robots powered by unique sources that will affect
most of us
• What advice will you give to your children and grandchildren???
The social upheaval is on its way
35. Ten jobs that AI cannot replace
Written by Sophia Bernazzani
@soph_bern
1. Human Resource Managers 6. Event Planners
2. Sales Managers 7.Writers
3. Marketing Managers 8. Software Developers
4. Public Relations Managers 9. Editors
5. Chief Executives 10. Graphic Designers