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
Substrate Monopoly@2x

Substrate Monopoly: Control and Power in a Virtual-First World

In previous Emerj articles in the AI Power series, we've taken a hard look at AI's increasing influence both in the macrocosm of our global politics and, more intimately, where it stands to hijack human reward systems through essentially the same forces that drove the ascent of the internet in the late 1990s and early 2000s.

001 – Artificial Intimacy – The Impact of AI-Generated Pornography-min

Artificial Intimacy: How AI-Generated Pornography is Changing Society

The internet is really, really great
For porn-
I've got a fast connection, so I don't have to wait
For porn-
There's always some new site,
For porn!
I browse all day and night,
For porn!
It's like I'm surfing at the speed of light,
For porn!

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. 

Seven Non-Technical Enterprise AI Career Paths@2x-min

Seven Non-Technical Enterprise AI Career Paths

Relying entirely on consultants or vendors is not a viable strategy - as AI adoption inherently involves new capabilities to be built up within the company, both technical and non-technical. The only reason a company would put AI technical development and implementation entirely in the hands of a vendor is ignorance of how AI works.

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.

Artificial Intelligence at DocuSign 950×540

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.

AI at Meta 950×540

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. 

AI at Nvidia 950×540

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.