ML 16189 building the knowledge graph

Uncover hidden connections in unstructured financial data with Amazon Bedrock and Amazon Neptune

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In asset management, portfolio managers need to closely monitor companies in their investment universe to identify risks and opportunities, and guide investment decisions. Tracking direct events like earnings reports or credit downgrades is straightforward—you can set up alerts to notify managers of news containing company names. However, detecting second and third-order impacts arising from events …

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Embracing the Mundane in AI — the need for Specialised AI in Financial Services

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Embracing the Mundane in AI — the Need for Specialised AI in Financial Services Why we need more specialised AI which is more accurate for Financial Services tasks, not bigger and more capable headline AI systems. Would you hire Einstein to staff your call centre? (Image created using Dall-E 3) In the rapidly-evolving landscape of artificial intelligence (AI), it’s …

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IBM and TechD partner to securely share data and power insights with gen AI

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As technology expands, at TechD, we know that the quality of generative AI (gen AI) depends on accurate data sourcing. A reliable and trustworthy data source is essential for sharing information across departments. Through the implementation of generative AI we are able to expand our knowledge to many individuals easily, quickly and efficiently becoming a …

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Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

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Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them. They then use SQL to explore, analyze, visualize, and integrate …

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4 ways generative AI addresses manufacturing challenges

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The manufacturing industry is in an unenviable position. Facing a constant onslaught of cost pressures, supply chain volatility and disruptive technologies like 3D printing and IoT. The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. At the same time, there is this huge sustainability and energy transition wave. Manufacturers are being …

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Introducing LLM fine-tuning and evaluation in BigQuery

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BigQuery allows you to analyze your data using a range of large language models (LLMs) hosted in Vertex AI including Gemini 1.0 Pro, Gemini 1.0 Pro Vision and text-bison. These models work well for several tasks such as text summarization, sentiment analysis, etc. using only prompt engineering. However, in some scenarios, additional customization via model …

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Merging top-down and bottom-up planning approaches

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This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. The first post of this series addressed the challenges of the energy transition with holistic grid asset management. The second post in this series addressed the integrated asset management platform …

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AI governance is rapidly evolving — Here’s how government agencies must prepare

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The global AI governance landscape is complex and rapidly evolving. Key themes and concerns are emerging, however government agencies must get ahead of the game by evaluating their agency-specific priorities and processes. Compliance with official policies through auditing tools and other measures is merely the final step. The groundwork for effectively operationalizing governance is human-centered, …

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