The Data Integration Advantage: Building a Foundation for Scalable AI
Arvind Prabhakar, Co-founder and Chief Product Officer, StreamSets
By Girish Pancha, Co-founder & CEO and
Arvind Prabhakar, Co-founder and Chief Product Officer, StreamSets
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72% of technology executives say that should their companies fail to achieve their AI goals, data issues are more likely than not to be the reason. – CIO Vision 2025: Bridging the Gap Between BI and AI, MIT Technology Review Insights
We are at an AI tipping point. After years of experimentation — some successful, most not — businesses are ready to embrace AI wholeheartedly.
But achieving AI success at scale requires a strong data foundation.
In this white paper, StreamSets’ co-founders Girish Pancha and Arvind Prabhakar explore:
We are at an AI tipping point. After years of experimentation — some successful, most not — businesses are ready to embrace AI wholeheartedly.
But achieving AI success at scale requires a strong data foundation.
In this white paper, StreamSets’ co-founders Girish Pancha and Arvind Prabhakar explore:
- The state of AI in the enterprise
- Challenges of scaling AI
- How modern data integration can remove AI scaling challenges
- Moving beyond data integration for even better AI results
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