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How AI orchestration has become more important than the models themselves

CIO

As many companies that have already adopted off-the-shelf GenAI models have found, getting these generic LLMs to work for highly specialized workflows requires a great deal of customization and integration of company-specific data. Large language models (LLMs) just keep getting better. From Llama3.1 to Gemini to Claude3.5

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Udacity raises $75M in debt, says its tech education business is profitable after enterprise pivot

TechCrunch

Online education tools continue to see a surge of interest boosted by major changes in work and learning practices in the midst of a global health pandemic. The funding will be used to continue investing in its platform to target more business customers. Now it’s time to build out a sales team to go after them.”

Education 295
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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly Media - Ideas

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. What cultural and organizational changes will be needed to accommodate the rise of machine and learning and AI?

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7 data trends on our radar

O'Reilly Media - Ideas

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Sustaining machine learning in an enterprise.

Trends 109
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10 things keeping IT leaders up at night

CIO

That’s not to say they’re looking to ditch their roles or smash machines, as the real Luddites had. The Society for Information Management (SIM) recently conducted its annual trends study and found that nearly a quarter of the IT leaders polled listed AI and machine learning as an area of concern, says SIM CEO Mark Taylor.

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AI in Short-Term Rentals: How Machine Learning Shapes STR

Altexsoft

This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making. The key terms that everyone should know within the spectrum of artificial intelligence are machine learning, deep learning, computer vision , and natural language processing.

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AI Product Management After Deployment

O'Reilly Media - Ideas

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”. The field of AI product management continues to gain momentum.