In episode 57 of the Acceleration Economy Minute, Kieron Allen discusses Dataiku, which is on our Top 10 list of AI/Hyperautomation Enablers.
This episode is sponsored by Acceleration Economy’s Digital CIO Summit, taking place April 4-6. Register for the free event here. Tune in to the event to hear from CIO practitioners discuss their modernization and growth strategies.
Highlights
00:34 — Earlier this week, Kieron profiled Dataiku, and he’s following that up with a particularly interesting case study regarding a company that’s used Dataiku to enhance its data and artificial intelligence (AI) capabilities.
01:00 — Orange, one of the world’s leading telecommunications companies, chose Dataiku when they needed to elevate data science and machine learning (ML) efforts in the company. One additional factor was especially compelling: Orange also wanted to use Dataiku to attract new data talent into the company.
01:15 — Before Dataiku, only data scientists with the capabilities to operate Orange’ internally developed analysis tools could understand the proprietary language. The tools in question also couldn’t be used for machine learning tasks, just for business intelligence
01:32 — In addition, Orange was struggling to onboard new talent with the knowledge to use their legacy systems. Dataiku gave Orange the power and functionality for their data team to work on ML projects and thereby attract new talent that was keen to use the technology in that way.
01:47 — The technology landscape is rapidly changing and Dataiku is not only providing technology to help organizations keep up, but also to deliver the capabilities that attract new and ambitious talent.
