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The DataOps Vendor Landscape, 2021

DataKitchen

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Testing and Data Observability. DataOps is a hot topic in 2021.

Testing 300
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7 types of tech debt that could cripple your business

CIO Business Intelligence

Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. What CIOs can do: To make transitions to new AI capabilities less costly, invest in regression testing and change management practices around AI-enabled large-scale workflows.

Risk 140
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Introducing Cloudera Fine Tuning Studio for Training, Evaluating, and Deploying LLMs with Cloudera AI

Cloudera

Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. Build and test training and inference prompts.

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Should large enterprises self-host their authoritative DNS?

IBM Big Data Hub

In a recent post , we outlined the pitfalls of self-hosted authoritative Domain Name System (DNS) from the perspective of a start-up or midsize company piecing together a DIY system using BIND DNS or other open source tools. Theory vs. reality These are all valid reasons to self-host your DNS at scale—at least in theory.

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5 top business use cases for AI agents

CIO Business Intelligence

Copilot Studio allows enterprises to build autonomous agents, as well as other agents that connect CRM systems, HR systems, and other enterprise platforms to Copilot. Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly.

Software 143
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7 Enterprise Applications for Companies Using Cloud Technology

Smart Data Collective

Enterprise cloud technology applications are the future industry standard for corporations. Here’s how enterprises use cloud technologies to achieve a competitive advantage in their essential business applications. Testing new programs. The sudden growth is not surprising, because the benefits of the cloud are incredible.

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Eight Top DataOps Trends for 2022

DataKitchen

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. Model developers will test for AI bias as part of their pre-deployment testing. Quality test suites will enforce “equity,” like any other performance metric.

Testing 245