Modernize and migrate on-premises fraud detection machine learning workflows to Amazon SageMaker

This post is co-written with Qing Chen and Mark Sinclair from Radial. Radial is the largest 3PL fulfillment provider, also offering integrated payment, fraud detection, and omnichannel solutions to mid-market and enterprise brands. With over 30 years of industry expertise, Radial tailors its services and solutions to align strategically with each brand’s unique needs. Radial…

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5 Key Updates in GPT-4 Turbo, OpenAI’s Newest Model

OpenAI recently announced multiple new features for ChatGPT and other artificial intelligence tools during its recent developer conference. The upcoming launch of a creator tool for chatbots, called GPTs (short for generative pretrained transformers), and a new model for ChatGPT, called GPT-4 Turbo, are two of the most important announcements from the company’s event. This…

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Build a Text-to-SQL solution for data consistency in generative AI using Amazon Nova

Businesses rely on precise, real-time insights to make critical decisions. However, enabling non-technical users to access proprietary or organizational data without technical expertise remains a challenge. Text-to-SQL bridges this gap by generating precise, schema-specific queries that empower faster decision-making and foster a data-driven culture. The problem lies in obtaining deterministic answers—precise, consistent results needed for…

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How Kepler democratized AI access and enhanced client services with Amazon Q Business

This is a guest post co-authored by Evan Miller, Noah Kershaw, and Valerie Renda of Kepler Group At Kepler, a global full-service digital marketing agency serving Fortune 500 brands, we understand the delicate balance between creative marketing strategies and data-driven precision. Our company name draws inspiration from the visionary astronomer Johannes Kepler, reflecting our commitment…

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AI Agents Are Too Cheap for Our Own Good

Zhang says his company makes money on each individual conversation after excluding certain overhead costs, but he declined to comment on the startup’s overall profitability. With $100 million raised from venture capitalists including Andreessen Horowitz and Accel, Decagon has the flexibility to prioritize growth over profitability. “Whether we could be pricing more, it’s always like…

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The problem with AI agents

The flash crash is probably the most well-known example of the dangers raised by agents—automated systems that have the power to take actions in the real world, without human oversight. That power is the source of their value; the agents that supercharged the flash crash, for example, could trade far faster than any human. But…

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Listen to a podcast recap

At this week’s I/O, we announced our very latest products, tools and research designed to make AI even more helpful with Gemini. The latest episode of the Google AI: Release Notes podcast delves into our big announcements from this year’s developer conference. Host Logan Kilpatrick talks with Tulsee Doshi, Senior Director and product lead for…

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Vibe Coding Is Coming for Engineering Jobs

The fact that AI can produce results that range from remarkably impressive to shockingly problematic may explain why developers seem so divided about the technology. WIRED surveyed programmers in March to ask how they felt about AI coding, and found that the proportion who were enthusiastic about AI tools (36 percent) was mirrored by the…

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How E.ON saves £10 million annually with AI diagnostics for smart meters powered by Amazon Textract

E.ON—headquartered in Essen, Germany—is one of Europe’s largest energy companies, with over 72,000 employees serving more than 50 million customers across 15 countries. As a leading provider of energy networks and customer solutions, E.ON focuses on accelerating the energy transition across Europe. A key part of this mission involves the Smart Energy Solutions division, which…

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