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Accelerating generative AI requires the right storage

CIO

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. Novel approaches to storage are needed because generative AI’s requirements are vastly different.

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A Case Study on Building Modern Analytics Architectures That Scale

Datavail

As data volumes continue to grow, the systems and architectures need to evolve. This is especially important for companies that rely on analytics to drive business insights and executive decisions. Most likely, your company has shifted their approach to data and analytics. On-premises systems were costly.

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Use cloud computing to accelerate GenAI adoption in healthcare with Microsoft AI

CIO

Certain healthcare organizations have been slow to embrace cloud computing despite its proven benefits, largely due to security concerns. An experienced systems integrator paired with a hyperscaler – such as Tata Consultancy Services (TCS) and Microsoft Azure – can help healthcare IT leaders achieve these goals. Competency enablement.

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The critical role of a hybrid cloud architecture in ensuring regulatory compliance in financial services

Cloudera

Another scenario: A major lender rolls out a new AI-driven credit scoring system to streamline loan approvals. The system was expected to reduce processing times and improve customer satisfaction. Let’s review some of the more critical regulations and the impact of a hybrid cloud architecture.

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The New Way Companies are Harnessing Data at the Edge for Value Added in Real-Time

CIO

In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture. 2] Here, we explore the demands and opportunities of edge computing and how an approach to Business Outcomes-as-a-Service can provide end-to-end analytics with lowered operational risk.

IoT 315
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What is data governance? Best practices for managing data assets

CIO

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This article explains what a data lake is, its architecture, and diverse use cases. This flexibility makes it easier to accommodate various data types and analytics needs as they evolve over time. What is a data lake?