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What you need to know about product management for AI

O'Reilly on Data

We won’t go into the mathematics or engineering of modern machine learning here. AI systems differ from traditional software in many ways, but the biggest difference is that machine learning shifts engineering from a deterministic process to a probabilistic one.

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DIY cloud cost management: The strategic case for building your own tools

CIO Business Intelligence

The dynamic nature of the cloud — and the need for continually optimize operations — often drives requirements unique to a CIO’s enterprise, meaning that even some popular third-party cloud cost optimization tools may no longer fit an enterprise’s specific requirements. Cloud cost management remains a critical CIO priority.

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Generative AI’s role in increasing IT efficiency

CIO Business Intelligence

CIOs and their IT teams — including operations/DevOps, site reliability engineering, and platform engineering — are charged with building and managing IT services that can provide near 100% uptime. IT practitioners are bombarded with alerts, some of which are simply noise. Experience it firsthand with a guided demo.

IT 126
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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing. The top-line result was that 97% of data engineers are feeling burnout.

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Bringing an AI Product to Market

O'Reilly on Data

For example, many companies use recommendation engines to boost sales. But if your product is highly specialized, customers may come to you knowing what they want, and a recommendation engine just gets in the way. Though these concepts may be simple to understand, they aren’t as easy in practice. Agreeing on metrics.

Marketing 362
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AI transforms the IT support experience

IBM Big Data Hub

Additionally, it can transition to a live agent if needed, and alternatively open a ticket to be resolved by a support engineer. It highlights potential issues and provides recommended actions. Depending on complexity, some support cases can take several weeks to resolve.

IT 79
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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The solution lies in generative AI Let’s explore some of the capabilities or use cases where we see the most traction: 1. Additionally, these accelerators are pre-integrated with various cloud AI services and recommend the best LLM (large language model) for their domain. They are often disparate, siloed, and multi-modal.