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Your Generative AI strategy could use a startup’s touch

CIO

Marketing departments may find ways to make information housed in knowledge-based articles and other content more easily discoverable. Accordingly, many organizations plan to boost GenAI funding, the survey found. Similarly, fear of being late to the GenAI party can spur even cautious IT leaders to rush into implementations.

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Why Best Practices – Aren’t

N2Growth Blog

One of the most difficult areas for executives to wrap their mind around is how to unlearn legacy based thinking. Don’t compete against how others do things, compete against your own thinking. More than 20 years ago I coined the term “ next” practices in an effort to focus people forward in their thinking.

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3 Reasons You Should Add AIOps to Your Tooling Arsenal

OverOps

AIOps, at its core, is a data-driven practice of bridging resources and leveraging AI and machine learning to make predictions based on historical data. Sure, AI and ML give tools predictive capabilities, but if they rely on historical data for a knowledge-base then they can only predict events based on data that’s been routinely collected.

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CPOE Systems: Benefits and Risks of e-Prescribing and Test Ordering

Altexsoft

The order is validated against a patient’s medical history, knowledge base of a clinical decision support system, and health insurance plan stored in a practice management system. Together with multiple other prescribing mistakes, they leak into five to nine percent of medical orders, creating significant risks for patients.

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Why Best Practices – Aren’t

N2Growth Blog

One of the most difficult areas for executives to wrap their mind around is how to unlearn legacy based thinking. Don’t compete against how others do things, compete against your own thinking. More than 20 years ago I coined the term “ next” practices in an effort to focus people forward in their thinking.

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3 Reasons You Should Add AIOps to Your Tooling Arsenal

OverOps

AIOps, at its core, is a data-driven practice of bridging resources and leveraging AI and machine learning to make predictions based on historical data. Sure, AI and ML give tools predictive capabilities, but if they rely on historical data for a knowledge-base then they can only predict events based on data that’s been routinely collected.

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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).