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Narrowing the confidence gap for wider AI adoption

AI News

Avi Perez, CTO of Pyramid Analytics, explained that his business intelligence software’s AI infrastructure was deliberately built to keep data away from the LLM , sharing only metadata that describes the problem and interfacing with the LLM as the best way for locally-hosted engines to run analysis.”There’s

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Build agentic systems with CrewAI and Amazon Bedrock

Flipboard

Flows CrewAI Flows provide a structured, event-driven framework to orchestrate complex, multi-step AI automations seamlessly. Flows empower users to define sophisticated workflows that combine regular code, single LLM calls, and potentially multiple crews, through conditional logic, loops, and real-time state management.

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How Emerging Generative AI Models Like DeepSeek Are Shaping the Global Business Landscape

Unite.AI

Even in a rapidly evolving sector such as Artificial Intelligence (AI), the emergence of DeepSeek has sent shock waves, compelling business leaders to reassess their AI strategies. However, achieving meaningful impact requires a structured approach to AI adoption, with a clear focus on high-value use cases.

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Unframe Emerges from Stealth with $50M to Transform Enterprise AI Deployment

Unite.AI

Instant AI Solutions Without the Overhead At the heart of Unframes platform is what it calls the Blueprint Approach , a methodology that provides the necessary context to large language models (LLMs) to deliver hyper-relevant, domain-specific outcomes.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.

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Building with AI in 2025: Top advice from leading founders

AssemblyAI

In our Assembly Required series , AssemblyAI founder and CEO Dylan Fox discussed the similar challenges that many companies face today, and leading AI founders gave their tips on making the right AI decisions for their unique needs.  But, as he shared, “the market is still playing catch-up to the reality of the results.”

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IBM unveils Granite 3.0 AI models with open-source commitment

AI News

According to IBM, transparency and safety remain at the forefront of its AI strategy. models, designed to implement safety guardrails by checking user prompts and LLM responses for various risks. Early proofs-of-concept suggest potential cost savings of up to 23x less than large frontier models.