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Building a Beautiful Data Lakehouse

CIO

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. Merging them into a single system means that data teams can move faster, as they can get to data without accessing multiple systems. Pulling it all together.

Data 178
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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

For instance, consider an AI-driven legal document analysis system designed for businesses of varying sizes, offering two primary subscription tiers: Basic and Pro. He specializes in machine learning and is a generative AI lead for NAMER startups team. He regularly presents at AWS conferences and partner events.

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Cognixion raises $12M to build its brain-monitoring headset for people with disabilities

TechCrunch

The advance it’s all built on is a new type of (non-invasive) electrode and a machine learning system that quickly interprets the signals produced by the ones embedded in the headset. ” Two new features in particular are underway.

Hardware 239
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WaveOne aims to make video AI-native and turn streaming upside down

TechCrunch

And because of its unique qualities, video has been largely immune to the machine learning explosion upending industry after industry. But consider this: many new phones ship with a chip designed for running machine learning models, which like codecs can be accelerated, but unlike them the hardware is not bespoke for the model.

Video 252
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Document Classification With Machine Learning: Computer Vision, OCR, NLP, and Other Techniques

Altexsoft

So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. Namely, we’ll look at how rule-based systems and machine learning models work in this context. Machine learning classification with natural language processing (NLP).

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AI-Driven SOC Transformation with Cloudera: Enhancing Security Operations with Agentic AI

Cloudera

By automating repetitive tasks, enabling proactive threat mitigation, and providing actionable insights, artificial intelligence (AI) is reshaping the future of SOCs. Future-proof your SOC and stay ahead of cybersecurity challenges with Clouderas unified approach to data management, advanced analytics, machine learning, and AI.

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What do Security Operations Centers really need—today…and tomorrow

CIO

We are at a crossroads where well-funded threat actors are leveraging innovative tools, such as machine learning and artificial intelligence, while Security Operations Centers (SOCs), built around legacy technologies like security information and event management (SIEM) solutions, are failing to rise to the occasion.