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News, analysis, and insights for IT leaders navigating the risks and rewards of AI.
February 06, 2024
Thomson Reuters spent years building an AI platform to cull through massive troves of data and documents for its legal, global trade and compliance clients. But when generative AI came along, the company was forced to up its game.
Without basic computer architecture best practices, generative AI systems are sluggish. Here are a few tips to optimize complex systems.
Generative AI tools, apps and services that use the processing power on edge devices can access data locally, return faster results, and they're more secure.
By combining generative AI with predictive analytics, Akkio has created a powerful business intelligence tool to deliver better results for digital agencies. By using GPT-4 to let users clean up data sets, Akkio can uncover insights and generate charts and reports through natural language prompts. Jon Reilly, founder and co-CEO of Akkio, demonstrates the product on this episode.
The SaaS offering is specifically targeted at providing organizations visibility and protection over third-party and homegrown generative AI tools.
The AI company also introduced API key management improvements that provide more visibility into API usage and more control over API keys.
Autonomous driving edge cases require complex, human-like reasoning that goes far beyond legacy algorithms and models. Large language models are getting there.
By adding generative AI features to its observability platform, New Relic aims to make it easier for software engineers to gain better insights from their production environment. Peter Pezaris, Chief Strategy and Design Officer at New Relic, offers a demonstration of the new genAI tools.
Juniperâs AI-Native Networking Platform is aimed at unifying its campus, branch and data center networking products with a common AI engine and Marvis virtual network assistant.
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