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Leveraging AMPs for machine learning

CIO

Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time. RAG is an increasingly popular approach for improving LLM inferences, and the RAG with Knowledge Graph AMP takes this further by empowering users to maximize RAG system performance.

Learning 369
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With generative AI, IT must deliver knowledge…not just technology

CIO

As a result, knowledge workers can create content, low- and no-code solutions are more accessible, and team members from every layer of the organization have broader options for getting work done. What IT can do to train, educate, and share knowledge around GenAI How can IT organizations play an active part in educating users?

Knowledge 871
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Learn from past cloud-first mistakes for better AI

CIO

As organizations build their AI factories today in this new era, IT leaders have an opportunity to learn from their cloud-first sins of the past and strategically build in a way that prioritizes security, governance, and cost efficiencies over the long term, avoiding errors that might need to be corrected down the line.

Learning 865
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Why knowledge management is foundational to AI success

CIO

Research from MIT has shown that integrating a knowledge base into a LLM tends to improve the output and reduce hallucinations. This means that AI and ML advancements, far from superseding the need for knowledge management, actually make it more essential. Users can post a direct question to the community.

Knowledge 593
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How Bloomberg’s engineers built a culture of knowledge sharing

CIO

To help its employees collaborate and share knowledge, Bloomberg turns to Stack Overflow for Teams. Bloomberg focuses a lot on its engineers and its employees’ learning journey,” says Gulru Ustundag, an engineering manager. “I I have seen so much support in my growth and learning.” Community is really important at Bloomberg.

Knowledge 599
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From skills to performance: How hands-on learning is preparing IT teams for digital transformations

CIO

Four in 10 IT workers say that the learning opportunities offered by their employers don’t improve their job performance. This is because the most commonly used forms of upskilling (knowledge-based, content-driven, and assessed via online quizzes) aren’t enough for real-world impactful skilling. Learning is failing IT.

Learning 678
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Pace of Tech Demands a Smarter Learning Approach. Bring On Community-Driven Learning

CIO

Companies typically face three big problems in managing their skills base: Normal learning approaches require too much time to scale up relevant knowledge. Other companies try to jump-start knowledge by bringing in consultants, but this risks only temporarily plugging the gaps. A fresh approach is needed.

Learning 596