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10 most in-demand enterprise IT skills

CIO

Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. AWS Amazon Web Services (AWS) is the most widely used cloud platform today.

UI/UX 203
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5 ways to deploy your own large language model

CIO

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. Second, the company funnels its engineers to a version of ChatGPT running on a private Azure cloud. That question isn’t set to the LLM right away.

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Camelot Secure’s AI wizard eases path to cybersecurity compliance

CIO

Like many innovative companies, Camelot looked to artificial intelligence for a solution. Camelot has the flexibility to run on any selected GenAI LLM across cloud providers like AWS, Microsoft Azure, and GCP (Google Cloud Platform), ensuring that the company meets compliance regulations for data security.

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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning - AI

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding.

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Integrating Key Vault Secrets with Azure Synapse Analytics

Apiumhub

Azure Synapse Analytics is Microsofts end-to-give-up information analytics platform that combines massive statistics and facts warehousing abilities, permitting advanced records processing, visualization, and system mastering. What is Azure Synapse Analytics? What is Azure Key Vault Secret?

Azure 89
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What to expect from AI in the enterprise in 2025

CIO

This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected. But this isnt intelligence in any human sense.

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MLflow: A platform for managing the machine learning lifecycle

O'Reilly Media - Data

Although machine learning (ML) can produce fantastic results, using it in practice is complex. MLflow offers a powerful way to simplify and scale up ML development throughout an organization by making it easy to track, reproduce, manage, and deploy models. Machine learning workflow challenges. MLflow components.