Michal Klaus, Chief Executive Officer at Ataccama
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Michal Klaus

Chief Executive Officer

Check out the incredible speaker line-up to see who will be joining Michal.

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Day One: Leveraging Data as a Strategic Asset

Monday, October 5th, 2020

4:05 PM Choose Your Own Adventure: FIMA Partner Champagne Roundtables

These interactive roundtable sessions take a deep dive into the specific areas you came to learn about. Sit and learn in an intimate format from thought leaders of the most cutting edge data management solutions. Hear about capabilities to help you solve your unique data challenges and engage in deep discussion with the moderators and your peers to learn from the broader community. You pick which roundtables to partake in – choose the topics relevant to your most pressing initiatives and divide and conquer with your team members taking a seat at the other tables to further your data initiatives. Each Roundtable discussion lasts 30 minutes – choose 2! Interested in demonstrating thought leadership as a roundtable discussion host? Contact Charles McNiff at 646-200-7828 or charles.mcniff@wbresearch.com

1.Operationalizing Data Management and Governance: What’s Required? What to Avoid?

Peter Ku, VP, Chief Industry Strategist, Financial Services, Informatica

2.From Augmented to Self-driving Data Management

Michal Klaus, Chief Executive Officer, Ataccama

3.Harnessing Your Data to Drive Innovation and Revenue, Without Compromising Privacy or Security

Randy Koch, Chief Executive Officer, ARM Insight, Inc.

4.When Consent Does Not Work - Maximizing Lawful Value of AI, Data Sharing & Combining 

Gary LaFever, Chief Executive Officer, Anonos 

5. Next Generation Fraud Detection 

Kendall Clark, Founder & CEO, Stardog 

Dmytro Dolgopolov, Senior Director of Content Services & Analytics, FINRA

6.Leveraging Advanced Visualization to Explain the Flow of Data

7.Leveraging AI to Mine the Value Out of Unstructured Data

8.Harnessing Innovations in Data Aggregation Across the Enterprise

9.Deploying RPA to Gain Operational Efficiencies as Part of Broader Transformation

10.Data Integration From Application to Application