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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

It simplifies the creation and management of AI automations using either AI flows, multi-agent systems, or a combination of both, enabling agents to work together seamlessly, tackling complex tasks through collaborative intelligence. At a high level, CrewAI creates two main ways to create agentic automations: flows and crews.

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Introducing watsonx: The future of AI for business

IBM Journey to AI blog

It provides self-service access to high-quality, trustworthy data, enabling users to collaborate on a single platform where they can build and refine both new, generative AI foundation models as well as traditional machine learning systems. Watsonx.governance can help build the necessary guardrails around AI tools and the uses of AI.

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Achieve your AI goals with an open data lakehouse approach

IBM Journey to AI blog

Also, a lakehouse can introduce definitional metadata to ensure clarity and consistency, which enables more trustworthy, governed data. All of this supports the use of AI. And AI, both supervised and unsupervised machine learning, is often the best or sometimes only way to unlock these new big data insights at scale.

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. Automated development: Automates data preparation, model development, feature engineering and hyperparameter optimization using AutoAI.

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3 key reasons why your organization needs Responsible AI

IBM Journey to AI blog

The True Cost of Noncompliance Responsible AI requires governance Despite good intentions and evolving technologies, achieving responsible AI can be challenging. AI requires AI governance , not after the fact but baked into AI strategy of your organization. So what is AI governance?

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Llama 4 family of models from Meta are now available in SageMaker JumpStart

AWS Machine Learning Blog

Enhanced Customer Experience through Automation and Personalization**: - **Automated Customer Support**: LLMs can power chatbots and virtual assistants that provide 24/7 customer support. Repository Information**: Not shown in the provided excerpt, but likely contains metadata about the repository.