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An AI Data Platform for All Seasons

Rocket-Powered Data Science

One example of Pure Storage’s advantage in meeting AI’s data infrastructure requirements is demonstrated in their DirectFlash® Modules (DFMs), with an estimated lifespan of 10 years and with super-fast flash storage capacity of 75 terabytes (TB) now, to be followed up with a roadmap that is planning for capacities of 150TB, 300TB, and beyond.

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Predictive Analytics Improves Trading Decisions as Euro Rebounds

Smart Data Collective

Predictive analytics tools can be particularly valuable during periods of economic uncertainty. Predictive Analytics Helps Traders Deal with Market Uncertainty. However, predictive analytics will probably be even more important as global uncertainty is higher than ever. Analytics Vidhya, Neptune.AI

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American Honda IT to fuel innovation with generative AI

CIO Business Intelligence

The completion of such transformative EV and hydrogen fuel cell engineering — amid uncertainty about which technology will prevail as the industry standard — reflects the one constant American Honda’s VP of IT Bob Brizendine has confronted throughout his 36 years with the company: an ever-changing, winding road that never slows down.

IT 120
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Powering the future: How Gen AI and AI illuminate utility companies

CIO Business Intelligence

While international conflict, economic uncertainty and climate change are affecting businesses of all kinds, energy companies and utilities are also dealing with aging infrastructure, constant cyberattacks, increased regulation and rising customer expectations.

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DORA and its impact on data sovereignty

CIO Business Intelligence

Moreover, companies are grappling with macro issues such as global economic pressures, like inflation and ongoing geopolitical uncertainties. The upshot being that digital operational resilience and a business’s ability to control and manage its sovereign data under any circumstances has been catapulted to the top of the boardroom agenda.

IT 86
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Covid Data: An anomalous blip, or the new normal?

Cloudera

Insurance and finance are two industries that rely on measuring risk with historical data models. They have traditionally been slower-moving to adopt new structured and unstructured data inputs as regulatory considerations are always top of mind. This can be done at speed, and at scale.

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The New Normal for FP&A: Scenario Planning

Jedox

We are currently operating in an environment with a very high (if not the highest ever) level of VUCA, (Volatility, Uncertainty, Complexity, Ambiguity). The way you mitigate uncertainty is with planning, planning, and more planning. Not to mention eventually leveraging the 70% – 80% of data that is considered “dark”.