Remove resources tags data-model
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DIY cloud cost management: The strategic case for building your own tools

CIO

He and his teams tried a few off-the-shelf tools but were never satisfied with the support for linking a cloud resource to a line of business to determine ownership. Follow an agile model to iterate and deliver value over time. You can then start building data lakes and models around your data.

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Controlling cloud chaos: How to realign IT with the business

CIO

The end result is a lack of visibility and accountability, with resource inefficiencies that cause cloud costs to spiral. To address this misalignment, enterprises need a model that provides IT the agility, scalability, and flexibility of the cloud while allowing the business to make value-based decisions overspend. Cloud Management

Business 614
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Four things that matter in the AI hype cycle

CIO

The capabilities of these new generative AI tools, most of which are powered by large language models (LLM), forced every company and employee to rethink how they work. There is a ton of hype, and it can be exhausting trying to figure out where to direct your resources. For that, you’ll need an embedding model.

Knowledge 788
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Microsoft and Cognizant team up to boost enterprise Copilot adoption

CIO

Many see the high price tag of initial offerings and a lack of understanding as to how workflows will need to be adjusted to truly capture the value of copilots as deterrents to signing on for the added functionality. The announcement comes amid reluctance among some CIOs regarding the ROI of generative AI copilots.

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Why you must extend Zero Trust to public cloud workloads

CIO

As per a recent study, around 39% of organizations have encountered cloud-based data breaches. 6 On top of that, the average cost of a data breach is over $4.4 million per incident, making cloud data breaches one of the top attacks to defend against. 8 Complexity. Zscaler Figure 1.

Security 842
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Prioritizing AI? Don’t shortchange IT fundamentals

CIO

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Data due diligence Generative AI especially has particular implications for data security, Mann says.

IT 895
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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

The data science profession has become highly complex in recent years. Data science companies are taking new initiatives to streamline many of their core functions and minimize some of the more common issues that they face. Data scientists can access remote computing power through sophisticated networks. IBM Watson Studio.

Advantage 308