“We think it has the potential to become a work companion for millions and millions of people in their work life.” – Adam Selipsky, chief executive, Amazon Web Services, on Amazon Q

Amazon (NASDAQ: AMZN) has entered the chatbot competition with its new artificial intelligence assistant named Amazon Q, developed by the company’s cloud computing division. Unlike consumer-focused chatbots like ChatGPT and Bard, Amazon Q is designed for workplaces, aiming to assist employees with tasks such as summarizing strategy documents, filling out internal support tickets, and answering questions about company policy. The chatbot competes with other corporate chatbots like Copilot, Google’s (NASDAQ: GOOGL) Duet AI, and ChatGPT Enterprise.

Adam Selipsky, CEO of Amazon Web Services, envisions Q as a work companion for millions of people, focusing on enhancing work-life efficiency. In response to security and privacy concerns raised by companies, Amazon has built Q to be more secure and private than consumer chatbots. It can adopt the same security permissions already set up by business customers for their users, ensuring the protection of sensitive corporate data. (New York Times)

Amazon Q utilizes an Amazon platform called Bedrock, connecting various AI systems, including Amazon’s Titan, Anthropic, and Meta, rather than being built on a specific AI model. The pricing for Amazon Q starts at $20 per user per month, positioning it competitively against Microsoft and Google, which charge $30 per month for their enterprise chatbots.

This announcement was part of Amazon’s broader initiatives revealed at its annual cloud computing conference, including plans to enhance its computing infrastructure for AI and an expanded partnership with Nvidia (NASDAQ: NVDA) to build the world’s fastest AI supercomputer. The use of new Nvidia chips with Arm processor technology signifies a shift in the industry, potentially posing challenges for dominant microprocessor suppliers like Intel and Advanced Micro Devices (NASDAQ: AMD). The development marks a positive stride for Arm in its ongoing efforts to establish a presence in data center computing.

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