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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning Blog

Gartner predicts that by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023. The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling. For example, a request made in the US stays within Regions in the US.

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10 Best AI Tools to Protect Your Brand and Streamline Influencer Marketing (December 2024)

Unite.AI

At its core, the Iris AI engine operates as a sophisticated neural network that continuously monitors and analyzes social signals across multiple platforms, transforming raw social data into actionable intelligence for brand protection and marketing optimization.

AI Tools 278
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Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

AWS Machine Learning Blog

Asure anticipated that generative AI could aid contact center leaders to understand their teams support performance, identify gaps and pain points in their products, and recognize the most effective strategies for training customer support representatives using call transcripts. Yasmine Rodriguez, CTO of Asure.

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NVIDIA Blackwell Powers Real-Time AI for Entertainment Workflows

NVIDIA

AI has been shaping the media and entertainment industry for decades, from early recommendation engines to AI-driven editing and visual effects automation. Fueling the Future of Streaming and Data Analytics Data analytics is transforming raw audience insights into actionable intelligence faster than ever.

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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

Financial institutions need a solution that can not only aggregate and process large volumes of data but also deliver actionable intelligence in a conversational, user-friendly format. It became apparent that a cost-effective solution for our generative AI needs was required. Enter Amazon Bedrock Knowledge Bases.

DevOps 92
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Celebrating World Oceans Day: Revitalizing the marine ecosystem with technology-driven engineered reefs to accelerate CO2 capture

IBM Journey to AI blog

Insights generated from this data can help organizations further their ESG programs as well as drive operational efficiency. This proactive approach could help conservationists take timely action, implement mitigation strategies, and allocate resources more effectively.

ESG 237
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Using Generative AI to Empower Procurement Teams with Real-Time Competitor Analysis

John Snow Labs

Leveraging Generative AI, LLMs, and Google Search Wrappers for competitor analysis empowers the procurement team with real-time, data-driven insights. Generative AI and LLMs can process vast amounts of unstructured data, such as market reports, news articles, and supplier reviews, to generate detailed competitor profiles.