Matthew DeMello

Matthew is Senior Editor at Emerj, focused on enterprise AI use-cases and trends. He previously served as podcast producer with CrossBorder Solutions, a venture-back AI-enabled tax solutions firm. Prior, Matthew served three years at the World Policy Institute as a news editor and podcast producer.

Articles by Matthew

13 articles
Successful

What Successful AI Vendors Do – An Executive Brief

For a tech subsector on everyone's proverbial lips' at the moment, things can hardly be described as 'easygoing' for the AI vendor startup market in 2023.

Untangling Manufacturing Procurement Problems with Data@2x-min

Untangling Manufacturing Procurement with Data in the “Next Normal” – with David Schultz of Westfall

This article is sponsored by Arkestro, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines.

AI-Driven Supply Chain Solutions in Automotive Purchasing@2x-min

Making Supply Chains More Predictable with AI – with Edmund Zagorin of Arkestro

This article is sponsored by Arkestro, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines.

Making AI Come 
to Life in Heavy 
Industry@2x-min

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.

Fueling AI Services Growth@2x

Fueling AI Services Growth – Five Emerj Media Customer Stories

The AI vendor market is as diverse as the global economy itself. As AI applications evolve into every corner of our lives, so do the expertise and proficiency of the data professionals, business leaders and subject matter experts at the heart of the products and services transforming how we live and work.

What Trust Automation Means for Insurance Leaders@2x

What Trust Automation Means for Insurance Leaders – with Christian van Leeuwen of FRISS

COVID-19 did not just bring waves of diseases and contagious variants across the world starting in early 2020 – a tsunami of fraud soon followed the broad sweep of a pandemic that would engulf the global insurance industry. 

Artificial Intelligence at Pfizer 950×540

Artificial Intelligence at Pfizer – 3 Use Cases

Pfizer (NYSE: PFE) is an American pharmaceutical and biotechnology corporation based in New York City. The company accrued $81.29 billion in revenue last year, currently holding rankings of 46th on the Fortune 500 and 49th on the Forbes Global 2000 lists. 

Healthcare AI Use-Cases and Trends – An Executive Brief 950×540

Healthcare AI Use Cases and Trends – An Executive Brief 

Healthcare is an increasingly complex sector of the global economy, and AI is playing an active role in the worldwide evolution of the industry throughout its many disciplines. In a Deloitte study released earlier this year, 85% of respondents among healthcare business leaders said their enterprise was increasing AI spend before 2023. 

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