Data Analytics
CDW Executive SummIT: Why Clean Data Is Central to Successful AI Deployment
Artificial intelligence found its way into nearly every discussion at this month's CDW Executive SummIT in Phoenix, as speakers and participants pondered its impact on cybersecurity, productivity, hybrid work and user experience. Paul Zajdel, vice president and general manager of data and analytics at CDW, addressed AI's need for clean data to prevent hallucinations and other potential problems. Brent Blawat, AI strategist at CDW, added his perspective on some of the common pitfalls organizations face when attempting to deploy AI use cases. And Mathew Gruber, executive vice president of technology at American Financial Network, spoke candidly about some challenges his organization has overcome when trying to leverage AI and automation in their processes.
Find BizTech’s full coverage of the event here, follow our live news coverage of the CDW Executive SummIT on the social platform X @BizTechMagazine, and join the conversation using the hashtag #CDWExecutiveSummIT.
Participants
Paul Zajdel, Vice President and General Manager, Data and Analytics, CDW
Brent Blawat, AI Strategist, CDW
Mathew Gruber, Executive Vice President of Technology, American Financial Network
Video Highlights
- Data governance is an essential component of any data analytics program, but many organizations are rushing past it to develop AI uses cases more quickly.
- The problems organizations frequently encounter when feeding data into AI programs include data quality, data cleanliness and the ability for the data to integrate with existing systems.
- Organizations that jumped to AI uses cases too quickly are discovering the need to step back and more carefully examine the data they're using.
Related Videos
