Beyond the hype: How to operationalize AI

© Panintelligence 2024  All rights reserved

The AI hype shows no signs of slowing, but now, business leaders may be thinking about harnessing its benefits within their organizations.

Our panelists walk through essential steps to operationalizing AI – from defining business objectives to data collection, model training, piloting, and release & monitoring.

We also cover the hype cycle of emergent AI, unveiling the challenges organizations face in realizing its true value.

We are experiencing a transformative shift with generative AI. Customer expectations are changing, and businesses now have the opportunity to leverage AI to drive customer connection at scale."

Yamini Rangan

CEO, HubSpot

The next Salesforce automation or the next finance management… all these categories are going to be revolutionised by the AI technology. There's a lot of hype in our industry. I think [AI] may be underhyped.”

Todd McKinnon

CEO, Okta

Ken Miller 

Chief Technology Officer

Panintelligence

Zandra Moore

Chief Executive Officer

Panintelligence

Katherine Holden

Associate Director, Data Analytics

AI and Digital ID

techUK

Before jumping headfirst into AI implementation, watch this...

AI is the future, but not all AI projects are a success.