Category: Artificial Intelligence

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Artificial Intelligence Education Innovation Reading

Latest Read: Fusion Strategy

Fusion Strategy: How Real-Time Data and AI Will Power the Industrial Future by Vijay Govindarajan and Venkat Venkatraman.

Fusion Strategy: How Real-Time Data and AI Will Power the Industrial Future by Vijay Govindarajan

Vijay holds an MBA from Harvard Business School and is Professor of International Business at Dartmouth College. Venkat holds an MBA from the Indian Institute of Management and a PhD from the University of Pittsburgh and is Professor of Information Systems at Boston College.

Mix AI innovation and digital strategy and you can certainly understand how real-time data can transform companies and their products. Furthermore, this book is addressing industrial and manufacturing firms., data-rich information was limited to a select few like Boeing.

So parsing terabytes of interconnected datasets, industries can drive new value by creating strategic connections not possible even 10 years ago. However Facebook, Amazon, and Google proved repeatedly that the collection of real-time data can drive innovation in a fast changing world. Especially for design and manufacturing firms, the deployment of inexpensive sensors, enhanced wireless technologies and real cheap computing wrapped around artificial intelligence will make industries shift overnight.

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Artificial Intelligence Education Reading

Latest Read: Generative AI in Practice

Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society by Bernard Marr.

Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society by Bernard Marr

He holds degrees in business, engineering and information technology from the University of Cambridge and Cranfield School of Management. He has written several books and two that I have read include his 2015 release Big Data Using smart big data and his recent book Artificial Intelligence in Practice. That said, this book falls short. I feel this was a rushed effort to get into the Generative AI hype cycle.

So here, Bernard is focusing on Generative AI as the biggest advancement in technology in the history of the world and how ChatGPT is driving this new somewhat magic service. Actually the metrics seem to confirm: 10 million users within 30 days of launch and then a stunning 100 million within the next 60 days. Simply put, the fastest adoption of technology in the history of computing. But don’t forget the cost Bernard.

In the rush for all things Generative AI, this new subset of Machine Learning is driving the AI hype cycle even higher than many would conclude possible. Generative AI can of course create visual graphics, computer code, and music. Seems to be the ‘generative’ in Generative AI.

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Artificial Intelligence Education Reading

Latest Read: AI and Machine Learning for On-Device Development

AI and Machine Learning for On-Device Development: A Programmer’s Guide by Laurence Moroney.

AI and Machine Learning for On-Device Development: A Programmer's Guide by Laurence Moroney

Laurence holds a Bachelor of Science in Physics and Computer Science from Cardiff University, PgD, Microelectronics Systems Design from Birmingham City University and Graduate Certificate in Artificial Intelligence from Stanford University.

Today he is Chief AI Scientist at VisionWorks Studios. He previously was an AI Advocate at Google for 10 years and served as a Senior Developer Evangelist at Microsoft. He wrote this book in 2021 and previously published AI and Machine Learning for Coders in 2020.

While OpenAI’s ChatGPT kick started the LLM surge, AI will simply be a component installed upon our mobile devices. The OpenAI/Microsoft partnership is certainly enterprise focused, Google Gemini and Apple will drive their Android and iOS devices to simply adopt AI as part of their mobile ecosystem. Phones will simply remain the go to device.

So, there was a lot of buzz regarding new AI devices including Humane’s AI Pin or the Rabbit R1. Their rush to market to capitalize on the AI hype cycle leads to critical mistakes.

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Artificial Intelligence Education Reading

Latest Read: Your Face Belongs to Us

Your Face Belongs to Us: A Secretive Startup’s Quest to End Privacy as We Know It by Kashmir Hill.

Your Face Belongs to Us: A Secretive Startup’s Quest to End Privacy as We Know It by Kashmir Hill

Kashmir holds a masters degrees in journalism from New York University. Her writing has appeared in The New Yorker and The Washington Post. Kashmir is a technology reporter at The New York Times after having worked at Gizmodo Media Group, Fusion, Forbes Magazine, and Above the Law.

Perhaps of the most shocking books in fact that I have read in some time. Kashmir is documenting how a small AI company provided facial recognition to law enforcement, billionaires, and businesses. Yet, it should be no surprise this has eroded privacy as we know it.

Kashmir introduces readers to this chilling story as a skeptic. A tip regarding a mysterious app called Clearview AI held a claim it could with 99% accuracy identify anyone based upon a single photograph of their face. The app indeed provided a person’s online name, social media profiles, friends, family members, and their home address. This was just for starters and in the wrong hands, would be a very powerful surveillance tool.

Clearview AI was a start up run by Australian computer engineer Hoan Ton-That and Richard Schwartz, a former Rudy Giuliani advisor. The company was funded by conservative provocateur Charles C. Johnson and billionaire Donald Trump backer Peter Thiel. In contrast, Google and Facebook chose that this type of tool was too dangerous to release. However, via private investors, Clerview AI would be pitched to thousands of law enforcement agencies around the world.

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Artificial Intelligence Cyberinfrastructure Education Reading

Latest Read: Cybersecurity: The Insights You Need

Cybersecurity: The Insights You Need from Harvard Business Review.

Cybersecurity: The Insights You Need from Harvard Business Review

So let’s start with the end in mind to avoid all misunderstandings: this is targeted to every leader and board member regardless of market or industry. They simply must fully comprehend why cybersecurity has been and always will be an ongoing risk.

This is a well written, high level and most importantly a non-technical overview of cybersecurity. This risk can no longer be overlooked by organizations and delegated like it was 1994. Today more than ever before cybersecurity impacts your bottom line, including non-technology based organizations.

And in 2024 we can simply cut to the chase. If your organization’s cybersecurity service is not AI based, it is time to pivot to a vendor that deploys machine learning services to protect your organization, your data and most importantly, your customer data. Just query your insurance carrier for a list of approved vendors that deploy AI cybersecurity services. For the most part the pandemic made this pivot mandatory.

In fact, cyber risk management can no longer be isolated to your organization’s CIO and CISO. This is simply an organization-wide issue. Today every organization’s technology services group have become the key component for organizational success.

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