Provided by
Leaders know the importance of data. The challenge is how to put that data to use in order to drive your organisation forward. This executive guide from MIT Sloan Management Review provides you with insights, research, and strategies to:
- Identify and grow your data talent
- Initiate successful data strategies
- Empower a data-driven culture
Accelerate your transformation to become data-driven by reading this guide.
-
Trump's AI executive order could leave US in a 'regulatory vacuum'News Citing a "patchwork of 50 different regulatory regimes" and "ideological bias", President Trump wants rules to be set at a federal level
-
TPUs: Google's home advantageITPro Podcast How does TPU v7 stack up against Nvidia's latest chips – and can Google scale AI using only its own supply?
-
Empowering enterprises with AI: Entering the era of choicewhitepaper How High Performance Computing (HPC) is making great ideas greater, bringing out their boundless potential, and driving innovation forward
-
Achieving business outcomes with generative AIWebinar Take your hybrid cloud journey to the next level with generative AI
-
The three keys to successful AI and ML outcomesWhitepaper Unlocking the potential of machine learning in the generative AI era
-
The CEO's guide to generative AI: Be a creator, not a consumerWhitepaper Innovate your business model with modern IT architecture, and the principles of trustworthy AI
-
Learning and operating Prestowhitepaper Meet your team’s warehouse and lakehouse infrastructure needs
-
Scale AI workloads: An open data lakehouse approachwhitepaper Combine the advantages of data warehouses and data lakes within a new managed cloud service
-
Managing data for AI and analytics at scale with an Open Data Lakehouse approachwhitepaper Discover a fit-for-purpose data store to scale AI workloads
-
The power of AI & automation: Productivity and agilitywhitepaper To perform at its peak, automation requires incessant data from across the organization and partner ecosystem
