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‘Just-in-time’ AI: Has its moment arrived?

CIO

They just need their software development team to incorporate that [gen AI] component into an application, so talent is no longer a limiting factor,” the analyst claims. The timeliness is critical. You don’t want to do the work too much in advance because you want that real-time context. Google has come up with a RAG service.

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How to run a custom version of Spark on hosted Kubernetes

O'Reilly Media - Data

integrates with K8s clusters on Google Cloud and Azure. Does running alpha-quality software sound like fun? We will help you deploy code that hasn't even been reviewed yet (if that is the adventure you seek). This post will help you try out new (2.3.0+) and custom versions of Spark on Google/Azure with Kubernetes.

Azure 179
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How guardrails allow enterprises to deploy safe, effective AI

CIO

Google has finally fixed its AI recommendation to use non-toxic glue as a solution to cheese sliding off pizza. Hyperscalers are stepping up Tommi Vilkamo is the director of Relex Labs at supply chain software company Relex, where he heads a large, centralized data science team. It can be harmful if ingested.

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Review of Industrial IoT Solutions – Part I

Perficient

It would take way too long to do a comprehensive review of all available solutions, so in this first part, I’m just going to focus on AWS, Azure – as the leading cloud providers – as well as hybrid-cloud approaches using Kubernetes. Introduction. Edge computing and more generally the rise of Industry 4.0 Solution Overview.

IoT 69
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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects. Why: Data Makes It Different.

DevOps 145
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Should you build or buy generative AI?

CIO

As a ‘taker,’ you consume generative AI through either an API, like ChatGPT, or through another application, like GitHub Copilot, for software acceleration when you do coding,” he says. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.”

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Flexagon 2023: The Roadmap

Flexagon

Before we look ahead, let us appreciate how much we have evolved in delivering on our founders’ vision to simplify the complexity of deploying changes to Enterprise Software Platform Technologies. Now users can visualize and track their software delivery performance. With the release of FlexDeploy 6.0

UI/UX 78