Become a Client

Daniel Faggella

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

Articles by Daniel

30 articles
The SDGs of Strong Artificial Intelligence

The SDGs of Strong Artificial Intelligence

While it is difficult for people to agree on a vision of utopia, it is relatively easy to agree on what a “better world” might look like. The United Nations “Sustainable Development Goals,” for example, are an important set of agreed-upon global priorities in the near-term: These objectives (alleviation of poverty, food for all, etc.) […]

Read More…

AI Transparency in Finance - Understanding the Black Box

AI Transparency in Finance – Understanding the Black Box

The financial sector was one of the first to start experimenting with machine learning applications for a variety of use-cases. In 2019, banks and other lenders are looking to machine learning as a way to win market share and stay competitive in a changing landscape, one in which people are no longer exclusively going to […]

Read More…

Strategic Recommendations for AI in Banking - Near-term Considerations

Strategic Recommendations for AI in Banking – Near-term Considerations

Four months ago we launched our AI in Banking podcast where we covered some of the most critical topics related to AI adoption and implementation in banks and financial institutions each month. Our series was based on interviews with AI industry experts, many of whom also shared their valuable insights during our first comprehensive banking […]

Read More…

Unlocking the ROI of Artificial Intelligence - Key Considerations for Business Leaders

Unlocking the ROI of Artificial Intelligence – Key Considerations for Business Leaders

Businesses still don’t have a clear understanding of what to expect when it comes to the ROI of AI. Many believe that AI is just like any other software solution: the returns should, in theory, be immediate. But this is not the case. In addition, business leaders are often duped into thinking the path to […]

Read More…

A Framework for Long-Term and Near-Term AI ROI

A Framework for Long-Term and Near-Term AI ROI

We spoke with David Carmona, the GM of Artificial Intelligence at Microsoft about his approach to AI ROI with the enterprise clients he works with at Microsoft. The biggest takeaway from this episode comes right at the beginning. David talks about how to think about artificial intelligence ROI in the long-term and the near-term. That […]

Read More…

Electrical Considerations for Artificial Intelligence Solutions

What Does it Take to Power Artificial Intelligence Systems and GPUs?

It’s clear that there’s a revolution in how artificial intelligence is done with neural networks as opposed to the old school systems of the ’80s and the ’90s. It’s clear that hardware is beginning to evolve, and it’s also quite clear that the way that we power these hardware systems is going to have to […]

Read More…

Software Defined Compute - Possibilities and Advantages in Machine Learning

Software Defined Compute – Possibilities and Advantages in Machine Learning

We spoke with Jonathan Ross, CEO and founder of Groq, an AI hardware company, about software defined compute. This interview is part of a series we did in collaboration with Kisaco Research for the AI Hardware Summit happening in Mountain View, California on September 17 and 18.  Software defined compute is a way of thinking […]

Read More…

The International Governance of AI - We Unite or We Fight

The International Governance of AI – We Unite or We Fight

The general premise of this article is different from most of my previous AI Power articles. While most of the articles in this series have related to the near-term struggles for power between organizations and governments with regards to regulation, data, and international policy, this article will focus on the long-term trajectory that AI and […]

Read More…

techcentral

Processing AI at the Edge – Use-Cases and AI Hardware Considerations

We spoke to Moe Tanabian, General Manager of Intelligent Devices at Microsoft, who is speaking at the AI Edge Summit in Mountain View, California on September 17 and 18. Tanabian discusses how to think about and reframe business problems to make them more accessible for AI, as well as AI at the edge, which involves […]

Read More…

Machine Learning for Underwriting and Credit Scoring - Trends and Possibilities

Machine Learning for Underwriting and Credit Scoring – Current Possibilities

The advent of machine learning in finance ushered in a keen interest in using AI to automate processes from fraud detection to customer service. While some use-cases aren’t nearly as established as others, our research leads us to believe that in the coming five years, banks will continue to invest in machine learning for risk-related […]

Read More…

subscribe-image
Stay Ahead of the Machine Learning Curve

At Emerj, we have the largest audience of AI-focused business readers online - join other industry leaders and receive our latest AI research, trends analysis, and interviews sent to your inbox weekly.

Thanks for subscribing to the Emerj "AI Advantage" newsletter, check your email inbox for confirmation.