Daniel Faggella

Daniel Faggella is Head of Research at Emerj. Called upon by the United Nations, World Bank, INTERPOL, and leading enterprises, Daniel is a globally sought-after expert on the competitive strategy implications of AI for business and government leaders.

Articles by Steve

30 articles
How AI is Changing Cybersecurity in Banking 1@2x-min

Generative AI and Human Reward Systems

Many of today's most popular digital products — from video games to social media and beyond — owe their popularity (and profitability) directly to their addictive potential. 

AI for Theft Prevention and Process Adherence - with Alan from Everseen

AI for Theft Prevention and Process Adherence – with Alan O’Herlihy from Everseen

Episode summary: In this episode, we speak with Alan O'Herlihy, Founder and CEO of Ireland-based Everseen. Alan speaks to us about how machine vision systems can be used to detect theft or mistakes at a checkout counter (including forgetting to scan items, customers intentionally hiding items, and more). Alan not only explains where these technologies are in use today, but he also breaks down some of his own predictions about what these computer vision systems might make possible in the workplace of tomorrow.

China’s Advantages in the Metaverse 950×540 (1)

China’s Metaverse Advantages: How the West Could Lose its Digital Supremacy

When Facebook bought Oculus in 2014 for over a billion dollars, it was an investment ahead of its time. For years virtual reality remained an interesting novelty and little more.

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Manufacturing AI Use Cases and Trends – An Executive Brief

Almost no other sector is traditionally slower to technological adoption than manufacturing, in no small part due to the countless challenges of relying on data accrued from physical environments. Yet across industries, manufacturing business leaders are finding that data is finally “waking up” to the nuances and fundamentals of their business operations.

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Artificial Intelligence at DocuSign – Two Current Use-Cases

DocuSign is an American company that provides digitized document management services. The company’s target market are companies who need help managing electronic business agreements.

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Artificial Intelligence at Meta (Facebook) – Two Current Use-Cases

Meta Platforms Inc. (herein, “Meta”), was known as Facebook up until 2021. Mark Zuckerberg states that the new brand embodies his strategic plan to create a “metaverse” for its customers using AI and VR technology. 

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Artificial Intelligence at Nvidia – Two Current Use Cases

NVIDIA is a multinational company known for its computing hardware, especially its graphics processing units (GPUs) and systems on chip units (SoCs) for mobile devices. The company went public on January 22, 1999.

You Don't Want What You Think You Want

You Don’t Want What You Think You Want – AI and Procedurally Generated Worlds

You don’t want the brand new shiny red sports car. 

Or that all-inclusive resort vacation to Hawaii.

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Artificial Intelligence at Intel – Three Current Applications

Intel was founded in 1968 by Robert Noyce and Gordon Moore, who had previously been among the founders of Fairchild Semiconductors. Today, Intel employs over 121,000 people worldwide. In its 2021 annual report, the company reported revenues of $79 billion. As of 2022, Intel trades on the Nasdaq (Symbol: INTC) with a market cap that exceeds $178 billion.

AI at eBay 950×540

Artificial Intelligence at eBay – Two Current Use-Cases

The company that would become eBay was founded as a sole proprietorship under the name AuctionWeb in September 1995 by Pierre Omidyar. The company changed its name to eBay in September 1997. The company reports selling just over $7 million in goods before being a California-registered corporation in May 1996.

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