AI Business is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 3099067.

AI Leaders

AI Business Week: AI implementation comes down to people

by Chuck Martin
Article ImageBusinesses may approach AI implementations in multiple ways, and some interesting strategies were recently detailed by two companies in different industry sectors.

In separate panel discussions I moderated at the AI Business Week Digital Symposium, AI leaders from Bank of America and Telefonica shined a light on comprehensive approaches to AI, along with some of the asoociated benefits.

What became clear during both conversations is that while AI technology can be deployed throughout an organization, solving people issues is often a bigger challenge.

“We at Bank of America think about the work that we’re doing as Intelligent automation,” said Salah Khawaja, managing director for automation and global risk at Bank of America. “We want to basically kill the manual processing so we can free up our people to focus on the more insightful work that’s on the top of the pyramid.”

“We’re moving our people from low-value tasks to high value tasks.”

In addition to automation, BoA’s end-end AI approach includes dashboards, workflow, alerts and notifications, and search.

At Telefonica, people issues are front and center in creating enterprise-wide AI implementations. But one of the risks of AI is unintended consequences, noted Richard Benjamins, chief AI and data strategist at the company.

Benjamins suggested following a methodology of “responsible AI by design” and skilling up employees. He pointed out that the European Commission issued guidelines for trustworthy AI comprising seven key requirements for ethical AI, such as privacy and transparency.

Telefonica created an AI training course for employees that comprises principles, awareness, model training, questionnaire with recommendations, tools, and governance model.

No matter the tech, it still comes down to people.

(You can view presentations by Khawaja and Benjamins here.)


More EBooks

Latest video

More videos

Upcoming Webinars

More Webinars
AI Knowledge Hub

AI for Everything Series

David Hardoon explaining recent developments in Data Science and AI

Author of Getting Started with Business Analytics: Insightful Decision-Making and the forthcoming book, Creating a Data Culture: Failing to Succeed

AI Knowledge Hub

Research Reports

More Research Reports


Smart Building AI

Infographics archive

Newsletter Sign Up

Sign Up