Data Processing Data Quality Deep Learning Strategy 
CIO Business Intelligence
JUNE 13, 2022
As with all financial services technologies, protecting customer data is extremely important. In some parts of the world, companies are required to host conversational AI applications and store the related data on self-managed servers rather than subscribing to a cloud-based service. Just starting out with analytics?
CIO Business Intelligence
APRIL 11, 2022
strategy, which will focus even more on enhancing customer service on the city’s digital infrastructure. On top of a double-digit population growth rate over the past decade, the city hosts more than 40 million visitors in a typical year. Ready to evolve your analytics strategy or improve your data quality?
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CIO Business Intelligence
JUNE 2, 2022
Known as the most powerful supercomputer in academia, Frontera is hosted by the Texas Advanced Computing Center (TACC) at the University of Texas, Austin. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use. IT Leadership
CIO Business Intelligence
JANUARY 4, 2023
Recently members of our community came together for a roundtable discussion, hosted by Dell Technologies, about trends, trials, and all the excitement around what’s next. Deployed successfully around the globe, liquid cooling is becoming essential to future proofing data centers. Just starting out with analytics? IT Leadership.
CIO Business Intelligence
MAY 16, 2022
To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).
O'Reilly on Data
DECEMBER 12, 2019
Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. That’s where remediation strategies come in. We discuss seven remediation strategies below. Data augmentation.
O'Reilly on Data
MARCH 31, 2020
But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. AI product estimation strategies.
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