PLUS – 001 – AI at ExxonMobil-min

Artificial Intelligence at ExxonMobil – Two Applications at the Largest Western Oil Company

ExxonMobil is the largest investor-owned company in the world and the largest oil company in the Western world. It is headquartered in Irving, Texas.

Personalizing Product Recommendations 
at Walmart@2x-min

Personalizing Product Recommendations at Walmart – with Dr. Charles Martin

The en masse shift to online shopping that transpired during and post-COVID appears as if it's destined to last. According to the Brookings Institute, one third of US adults have used delivery apps to order from a restaurant or store in the last year. 

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. 

What Enterprises Can Learn from How Google Models AI Readiness@2x-min

What Enterprises Can Learn from How Google Models AI Readiness – with Pallab Deb of Google Cloud

It is exceptionally difficult to get started, much less succeed, in AI adoption if one does not have at least a foundational education, particularly in those “modules” pertaining to AI capabilities, requirements, and organizational readiness. A business wanting to implement AI must understand the current state of adoption and how this current state matches up against AI readiness requirements.

Making AI Come 
to Life in Heavy 

Making AI Come to Life in Heavy Industry – with Nikunj Mehta of Falkonry

While the steel industry may not be synonymous with AI adoption, steel manufacturers are not different from any other business in ensuring efficiency in their output and throughput. There are almost certainly opportunities for AI implementation across an industry worth hundreds of billions of dollars that currently lags behind in adopting AI technology.

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 Use Cases for Trust Automation in Insurance@2x-min

AI Use Cases for Trust Automation in Insurance – with Christian van Leeuwen of FRISS

Insurance is a growing arena for AI adoption and in many cases, automation is leading the way to streamline customer experiences and the organizational pipelines behind them along the entire customer journey.

What AI Means for Financial Services in a Post-COVID World@2x-min

Early AI Adoption: How to Avoid Classic Mistakes – With David Carmona of Microsoft

The main difficulty in starting with AI is knowing exactly where to begin. As we will elaborate in this article, there are many exaggerated and misleading claims about the various types of AI technology. Moreover, some executives are too trigger-happy, wanting or needing to integrate AI into their enterprise sans a foundational education or understanding of the challenges. 

Building an AI Strategy Step-by-Step@2x

Building an AI Strategy, Step-by-Step – with Dr. Shane Zabel of Raytheon

What does developing an AI strategy look like? Most executives openly embrace the technology and the automation possibilities within their organization. They may just need a bit of help getting started.

What GPT-3 and AI Generated Text Means for the Future of Written Content@2x

What GPT-3 and AI-Generated Text Means for the Future of Written Content – with Peter Welinder of OpenAI

It is not hyperbolic to state that the autoregressive language model known as GPT-3 (short for ‘Generative Pre-trained Transformer 3’) is an unparalleled evolutionary step in content creation. In fact, the potential outputs the model can produce are so advanced that many academics have cited GPT-3 as Exhibit A in calling universities to reconsider what constitutes academic plagiarism.