Data Governance, AI & Tech Leadership Conference

Data - Tech Series - 7th November 2024

Atlassian, Stibosystems, and DOMO partnered with DCMG for an empowering Data - Tech Series at London, United Kingdom, tackling the importance of data governance and tech leadership.

In London, United Kingdom, November 7, 2024, DCMG hosted this empowering Data-Tech Series event at The Bulgari Hotel London, 171 Knightsbridge, London SW7 1DW, in partnership with Atlassian, Domo, and Stibosystems. The event was attended by (44) Senior Executive guests, that explored 3 different topics from our honorable speakers: Matthew Cawsey, Helen Himmelman, and Matt Schvimmer.

The event brought together industry leaders discussing three empowering industry topics:

Reimagining Teamwork: Driving Outcomes through AI and Strategic Alignment
Great power brings great responsibility: balancing data socialisation and governance
AI for MDM and MDM for AI: Building a Trustworthy Data Foundation

Matthew Cawsey explored the powerful connection between Master Data Management (MDM) and Artificial Intelligence (AI). MDM ensures data integrity for AI success, while AI enhances MDM by automating tasks like data cleansing and classification, improving data quality and efficiency.

Helen Himmelman shared her experiences in implementing and scaling data platforms like Domo and Power BI to create a data-driven workforce. She covered strategies for driving adoption, ensuring data governance, and fostering a self-service culture.

Matt Schvimmer discussed technology, especially AI about its rapid acceleration that pushes businesses to constantly realign strategies and organizations to stay competitive. He also tackled about moving from strategy to execution is often challenging for leaders, who face tough questions about goal tracking, team alignment, and effective funding.

Client's Event Testimonial

Enjoyed speaking at the Data Tech event on MDM and AI and met some great data and analytics leaders too. From Charles Babbage to Elon Musk we discussed the need for trustworthy data to power your AI initiatives.