Data Analytics
Snowflake Summit 26: The 5 Biggest Data Challenges Businesses Face Today and How To Overcome Them
Interest in artificial intelligence has exploded over the past four years and has helped enterprises unlock more value from their data.
“Historically, what would take months to do, people can do in a day. AI enables them to take their specialized knowledge and accelerate the development of solutions that can have big impact in the enterprise,” said Carl Perry, head of analytics at Snowflake, during Snowflake Summit 26 in San Francisco.
However, enterprises can only unlock value from their data if that data is high-quality, accurate and secure. BizTech spoke with Perry about some of the common challenges enterprises face related to data’s AI readiness — and how they can overcome these obstacles.
DISCOVER: Turn data into insights and accelerate artificial intelligence initiatives.
Check out this page for our complete coverage of Snowflake Summit 26.
Participants
Carl Perry, Head of Analytics, Snowflake
Video Highlights
- Artificial intelligence has driven a need for better governance, security and understanding of data.
- In the age of business intelligence tools and AI, it’s increasingly important that businesses have a single metrics definition for all of their data.
- Businesses should make decisions based on data that reflects how customers are using their products.
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