TDWI Virtual Summit Series: Powering the Intelligent Enterprise through AI and ML

Save the Date!

Join us at TDWI's complimentary November Virtual Summit for insights on how to harness AI and machine learning to create a smarter, more productive enterprise.

As AI becomes a critical component in the business landscape, the urgency for data and analytics leaders to adopt and integrate advanced AI and machine learning solutions intensifies. The November Virtual Summit will help leaders build and execute a strategy for embracing advanced analytics, AI, and machine learning. Participants will gain insights into the latest adoption trends from TDWI analysts, navigate the evolving technology landscape, and learn how data experts and leaders are developing achievable roadmaps to create an intelligent enterprise.

Topics will include:

Gain insights on the current state of AI and machine learning adoption and the challenges businesses face
Explore the latest tools and platforms in advanced machine learning and AI
Take away practical advice on creating achievable roadmaps for AI and machine learning initiatives, ensuring alignment with business goals
Understand how AI and machine learning adoption is reshaping program organization, project methodologies, and the roles of team members
Benefit from real-world examples demonstrating the transformative power of AI and machine learning across various industries and business functions

What To Expect

TDWI’s complimentary Virtual Summit this November will prepare you to take advantage of trends in AI and ML to power the intelligent enterprise.

What Makes a Summit Different?

Two half days of high-quality content
Vendor-neutral sessions from TDWI analysts, faculty expert speakers, and case studies
Interactive Q&A sessions that may feature your questions
Peer networking opportunities
Engaging demos on the hottest tools and technologies in the exhibit hall
Opportunities to have fun and win prizes along the way

Geared To

The TDWI Virtual Summit Series is geared to professionals in BI, analytics, and data management with an interest in driving business impact using data.

Business analysts, data engineers, and data governance managers
Architecture directors and managers
Data warehouse or analytics directors and managers
BI/analytics/data science directors and managers
Business executives and managers
CIOs, CDOs, CAOs, VPs, and directors of IT

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