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Enabling the broader adoption of AI and ML analytics use cases is one of the top drivers behind the modernization of data infrastructure at companies right now. From gathering, transforming, and processing data to the development, testing, and monitoring of data pipelines and models, deriving greater business value from AI and ML initiatives requires the right mix of platforms, tools, and practices.
To be successful, companies need a modular data architecture that can quickly accommodate new use cases. They also need the ability to rapidly integrate data, well-defined data governance and security processes, and standardized processes for building data pipelines. The use of automation, MLOps and AIOps methodologies, and cloud services that offer on-demand scalability are all key pillars for success as well.
To dive into key strategies and technologies, DBTA is hosting a special roundtable webinar on August 24th.
Reserve your seat today!
Register Now to attend the webinar Enabling Broader AI and ML Analytics Adoption: Data Platforms, Tools, and Practices.
Don't miss this live event on Thursday, August 24th, 11:00 AM PT / 2:00 PM ET.
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MODERATOR |
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Lucy Zhu
Product Marketing Manager
Snowflake |
Dan DeMers
CEO
Cinchy |
Lalit Ahuja
Chief Customer and Product Officer
GridGain |
Stephen Faig
Research Director
Unisphere Research and DBTA |
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