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Accomplish Complex Tasks Using Code Executors in AutoGen

Analytics Vidhya

This feature along with LLMs enables AI agents to generate, evaluate, and execute code in real-time. This capability bridges the gap between static AI models and actionable intelligence. […] The post Accomplish Complex Tasks Using Code Executors in AutoGen appeared first on Analytics Vidhya.

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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.

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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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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.

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NVIDIA Blackwell Powers Real-Time AI for Entertainment Workflows

NVIDIA

Powering Intelligent Content Creation Accelerated computing enables AI-driven workflows to process massive datasets in real time, unlocking faster rendering, simulation and content generation.

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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.

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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

By harnessing the power of watsonx generative AI capabilities and pre-trained foundation models, IBM could potentially analyze large volumes of data collected from various sources, such as satellite imagery, BluBoxx TM underwater sensors, and historical records, to identify patterns and predict potential threats to coral reefs.

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