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Gen AI without the risks

CIO Business Intelligence

Developing and deploying successful AI can be an expensive process with a high risk of failure. Six tips for deploying Gen AI with less risk and cost-effectively The ability to retrain generative AI for specific tasks is key to making it practical for business applications. The possibilities are endless, but so are the pitfalls.

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Optimizing Risk and Exposure Management – Roundtable Highlights

Cloudera

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. .

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Big Data Advances Lead to More Optimal SEO-Predicated Hosting

Smart Data Collective

Big data helps companies find new hosting solutions that are compatible with their SEO objectives. Yes, your hosting can have an impact on your SEO and big data plays an important role in it. So are most people when they learn that their hosting plan can impact their potential for reaching high SERPs. Are you surprised?

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The risks and limitations of AI in insurance

IBM Big Data Hub

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage.

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Big Data is Transforming the Future of WordPress Hosting

Smart Data Collective

Forbes contributor Kalev Leetaru recently wrote a fantastic article about the intersection of big data and website hosting. Leetaru notes that big data and cloud technology have led to the evolution of web hosting services. Cloud technology is changing the logistics of many traditional hosting plans. Determine Your Budget.

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Practical advice to optimize savings with cloud migrations

CIO Business Intelligence

As organizations of all stripes continue their migration to the cloud, they are coming face to face with sometimes perplexing cost issues, forcing them to think hard about how best to optimize workloads, what to migrate, and who exactly is responsible for what. You need to “identify benefits and risks,” Seiter said.

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Using Data-Driven Lean Thinking to Optimize Business Processes

Smart Data Collective

A growing number of businesses use big data technology to optimize efficiency. While there are various interpretations or models to address such problems, Lean Thinking can contribute to the implementation of more optimal projects for a business. Data-driven decision-making has become a major element of modern business.