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Prepare your organization for AI success by understanding the transformative impact of AI and ML on innovation, growth, and addressing key challenges. Despite the potential benefits, scaled AI implementations remain a challenge for many organizations. The CIO.com report identifies three stumbling blocks, outlines essential capabilities for success, and highlights the role of the Databricks Lakehouse Platform in accelerating time to business value through a data-centric AI approach.

Data transformation initiatives often fail to meet expectations. More often than not, this can be traced back to the strategy. As organizations look at their legacy IT platforms, they quickly realize the existing infrastructure can’t scale to meet modern demands for better analytics and hundreds of thousands of AI use cases. To transform the way your organization uses and processes data, you’ll need to unify your data warehousing and AI use cases on a single platform so you can innovate faster while improving your total cost of ownership. Don’t start your next transformation to become AI-driven without this comprehensive guide to develop your data and AI strategy.

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.

Healthcare and life sciences organizations have struggled with integrating data from siloed internal and external sources, leaving most data untapped of its full potential. Not only does the amount of data generated daily continue to grow in volume, velocity and variety, but the future of the healthcare industry relies on a connected ecosystem and data sharing. Getting the data platform decision right is mission critical, now. A platform that allows organizations to ingest data from any source, share that data with internal and external stakeholders, and leverage Al-powered, real-time insights.