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AI adoption in the enterprise 2020

O'Reilly on Data

The update sheds light on what AI adoption looks like in the enterprise— hint: deployments are shifting from prototype to production—the popularity of specific techniques and tools, the challenges experienced by adopters, and so on. Supervised learning is dominant, deep learning continues to rise.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

Data and network access controls have similar user-based permissions when working from home as when working behind the firewall at your place of business, but the security checks and usage tracking can be more verifiable and certified with biometric analytics. This is critical in our massively data-sharing world and enterprises.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO Business Intelligence

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data.

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12 most popular AI use cases in the enterprise today

CIO Business Intelligence

And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. AI personalization utilizes data, customer engagement, deep learning, natural language processing, machine learning, and more to curate highly tailored experiences to end-users and customers.

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An AI Data Platform for All Seasons

Rocket-Powered Data Science

Pure Storage empowers enterprise AI with advanced data storage technologies and validated reference architectures for emerging generative AI use cases. Summary AI devours data. I believe that the time, place, and season for artificial intelligence (AI) data platforms have arrived. AI Then and AI Now!

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The quest for high-quality data

O'Reilly on Data

Even with advances in building robust models, the reality is that noisy data and incomplete data remain the biggest hurdles to effective end-to-end solutions. The problem is even more magnified in the case of structured enterprise data. These data sets are often siloed, incomplete, and extremely sparse.

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Solving the Data Daze – Analytics at the Speed of Business Questions

Rocket-Powered Data Science

Data is more than just another digital asset of the modern enterprise. However, we are not into clear sailing just yet in the sea of data. Having a sea of data at our disposal drives our natural curiosity to ask questions about it: “What is that pattern? Access to data has done that. It is an essential asset.

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