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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

What began with chatbots and simple automation tools is developing into something far more powerful AI systems that are deeply integrated into software architectures and influence everything from backend processes to user interfaces. While useful, these tools offer diminishing value due to a lack of innovation or differentiation.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

Professionals in a wide variety of industries have adopted digital video conferencing tools as part of their regular meetings with suppliers, colleagues, and customers. This post provides guidance on how you can create a video insights and summarization engine using AWS AI/ML services.

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How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

AWS Machine Learning - AI

With a growing library of long-form video content, DPG Media recognizes the importance of efficiently managing and enhancing video metadata such as actor information, genre, summary of episodes, the mood of the video, and more. The project focused solely on audio processing due to its cost-efficiency and faster processing time.

Media 103
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Deep Science: AI adventures in arts and letters

TechCrunch

But you can stay tolerably up to date on the most interesting developments with this column, which collects AI and machine learning advancements from around the world and explains why they might be important to tech, startups or civilization. It requires a system that is both precise and imaginative. Image Credits: Asensio, et.

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Video security analysis for privileged access management using generative AI and Amazon Bedrock

AWS Machine Learning - AI

Security teams in highly regulated industries like financial services often employ Privileged Access Management (PAM) systems to secure, manage, and monitor the use of privileged access across their critical IT infrastructure. AI services have revolutionized the way we process, analyze, and extract insights from video content.

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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning - AI

Audio and video segmentation provides a structured way to gather this detailed feedback, allowing models to learn through reinforcement learning from human feedback (RLHF) and supervised fine-tuning (SFT). The path to creating effective AI models for audio and video generation presents several distinct challenges.

Video 79
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AI market evolution: Data and infrastructure transformation through AI

CIO

However, many face challenges finding the right IT environment and AI applications for their business due to a lack of established frameworks. Currently, enterprises primarily use AI for generative video, text, and image applications, as well as enhancing virtual assistance and customer support.