Transforming Your Business Through Artificial Intelligence: New Best Practices Research
Webinar Speaker: James Kobielus, Senior Research Director for Data Management
Date: Monday, June 10, 2024
Time: 9:00 a.m. PT / 12:00 p.m. ET
Business transformation rides on a new generation of applications powered by artificial intelligence (AI).
Enterprises are increasingly relying on these apps to improve operational performance, efficiency, and agility. They are operationalizing the deployment, management, and governance of AI within robust enterprise processes and building the AI skills, teams, and processes to develop, deploy, and manage AI within their businesses.
Join us to hear James Kobielus, TDWI senior research director for data management, present findings and recommendations from the new TDWI Best Practices Report: Transforming Your Business Through Artificial Intelligence. He will discuss:
- How enterprise maturity supports using AI for digital transformation
- Top strategic drivers and priorities for enterprise investment in new and emerging AI platforms, tools, skills, personnel, and methodologies
- Trends and rates of AI adoption into all business operations (including customer-facing ones) as well as internal, administrative, and supply-chain processes
- Enterprise budgets, staffing, and team structures that support AI as a core operational asset
- Adoption of self-service, visual, interactive, no-code, and generative tools for AI development throughout the enterprise
- Governance, security, and other technological and procedural guardrails for mitigating AI risks
Guest Speakers
Paul Warburg
Product Marketing for AI
Alteryx
Paul Warburg helps lead product marketing for Alteryx's AI Platform for Enterprise Analytics, focusing on data prep, generative AI, and analytics insights. He has a background as a data analyst and a PMM for data products, working alongside many of the world's largest corporations and leading data companies.
Daniel Hunt
Director Strategic Programs
MongoDB
Dan Hunt leads strategic programs for MongoDB, which focuses on topics like data modernization and artificial intelligence. He has also held roles in technical, product, and sales enablement while at MongoDB. Prior to MongoDB, Dan spent time at IBM Watson where he held roles spanning research, enablement, implementations, and sales. Prior to IBM, he spent time at IDC’s CIO Executive Council. Dan has a certificate of advanced study in data science from Syracuse University and a bachelor's degree in journalism from the University of Massachusetts, Amherst.
Colin Dover
Business Technology Platform, Center of Excellence
SAP
As part of the SAP Business Technology Platform Center of Excellence, Colin represents a breadth of solutions within the SAP portfolio; he is an evangelist for the SAP digital transformation strategy and vision as well as a passionate advocate for the value and best practices of corporate customer data strategy and analytics capability maturity. He has held a variety of technical and strategic consulting roles at a number of market-leading enterprise software vendors gaining extensive experience over a 24-year period, working with many of the world’s leading corporations.
Arun Agarwal
Senior Product Marketing Manager, AI/ML
Snowflake
Arun Agarwal is a seasoned leader in the field of AI product marketing, currently leading initiatives at Snowflake. With prior experience at Salesforce, where he contributed to their product marketing team with a focus on data and integration, Arun brings over 15 years of diverse expertise. His professional journey spans roles in sales, marketing, manufacturing, and R&D within the consumer products industry. Holding a Ph.D. in STEM, Arun has co-authored several patents and international scientific research articles. Passionate about cutting-edge technology, he is committed to driving innovation and shaping the future of the industry.
James Kobielus