Building a high-performance data and AI organization
Every organization today recognizes the strategic value of generating actionable insights from their enterprise data. That’s why data-driven companies are deploying increasingly advanced cloud-based technologies, including analytics tools with machine learning capabilities — but they’re still hamstrung by a lack of abundant, easily accessible, high-quality data.
Dig in further to see how leading organizations are grappling with their data challenges. Read the full MIT Technology Review Insights report to get visibility into the findings from a global survey of more than 350 CDOs, CIOs, and CTOs from over 14 different industry sectors.
You will get further access to valuable insights such as:
- Why only 13% of organizations are currently delivering on their data strategy
- Why open standards are the primary requirement for future data architecture strategies
- Why data leaders prioritize the democratization of analytics and machine learning
- Why over half of respondents said they’re struggling to scale ML use cases
