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7 types of tech debt that could cripple your business

CIO Business Intelligence

CIOs perennially deal with technical debts risks, costs, and complexities. Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Forrester reports that 30% of IT leaders struggle with high or critical debt, while 49% more face moderate levels.

Risk 140
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Have we reached the end of ‘too expensive’ for enterprise software?

CIO Business Intelligence

This allows companies to benefit from powerful models without having to worry about the underlying infrastructure. However, this comes at the cost of some of the advantages offered by the leading frontier models. Alternatively, several models can be operated on-premises if there are specific security or data protection requirements.

Software 128
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AI dominates Gartner’s 2025 predictions

CIO Business Intelligence

Organizations that deploy AI to eliminate middle management human workers will be able to capitalize on reduced labor costs in the short-term and long-term benefits savings,” Gartner stated. “AI By 2028, 40% of large enterprises will deploy AI to manipulate and measure employee mood and behaviors, all in the name of profit. “AI

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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. The Need for Fine Tuning Fine tuning solves these issues.

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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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Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. If expectations around the cost and speed of deployment are unrealistically high, milestones are missed, and doubt over potential benefits soon takes root. But this scenario is avoidable.

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7 Enterprise Applications for Companies Using Cloud Technology

Smart Data Collective

The sudden growth is not surprising, because the benefits of the cloud are incredible. 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. Multi-cloud computing.