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Navigate AI market uncertainty by bringing AI to your data

CIO Business Intelligence

As an IT leader, deciding what models and applications to run, as well as how and where, are critical decisions. No matter how much fine-tuning and RAG applications organizations add to the mix won’t make them comfortable with offloading their data. GenAI chat applications and copilots are perfect for this, too.

Data 119
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Gen AI without the risks

CIO Business Intelligence

Six tips for deploying Gen AI with less risk and cost-effectively The ability to retrain generative AI for specific tasks is key to making it practical for business applications. Don’t reinvent the wheel—start with a foundation model A business could invest in developing its own models for its unique applications.

Intel 131
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Know before you go: 6 lessons for enterprise GenAI adoption

CIO Business Intelligence

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many Despite rapid developments and improvements, open-source LLMs, while sophisticated, still have limitations.

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Inferencing holds the clues to AI puzzles

CIO Business Intelligence

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Inferencing funneled through RAG must be efficient, scalable, and optimized to make GenAI applications useful. Learn more about Dell Generative AI.

Dell 134
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The AI continuum

CIO Business Intelligence

AI’s broad applicability and the popularity of LLMs like ChatGPT have IT leaders asking: Which AI innovations can deliver business value to our organization without devouring my entire technology budget? It provides smart applications for translation, speech-to-text, cybersecurity monitoring and automation.

Dell 108
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Your Generative AI strategy could use a startup’s touch

CIO Business Intelligence

Although it’s early days, as many as 75% of organizations reported quantified outcomes from GenAI projects, with 26% expecting productivity gains, according to a Dell Technologies survey of IT decision makers. But remember: As shiny a new toy as GenAI is, you want to build applications that bring value to employees and customers.

Strategy 125
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Become More Data-Driven by Evolving Analytics Workloads

CIO Business Intelligence

In the past, one option was to use open-source data analytics platforms to analyze data using on-premises infrastructure. Taking this a step further, organizations can achieve the holy grail of hybrid cloud with applications and data that can be moved, managed and secured seamlessly across locations to provide the best of both worlds.

Data 107