New generative AI enhancements for Amazon Connect
New generative AI enhancements for Amazon Connect, AWS’s cloud contact center solution. Serving over 10 million daily interactions, Amazon Connect now offers:
- Automated segmentation for proactive, personalized communications.
- Amazon Q in Connect, a generative AI-powered assistant for dynamic self-service experiences.
- Customizable AI guardrails to ensure safe, policy-compliant AI deployments.
- Generative AI-driven insights like intelligent contact categorization and agent evaluations for better training and service quality.
Leading organizations like Frontdoor, Fujitsu, and Priceline are already leveraging these innovations for enhanced customer service at reduced costs.
These features are now generally available. Learn more about the AWS News Blog and AWS Contact Center Blog.
AWS announces new data center components to support AI and improve energy efficiency
AWS has unveiled advanced data center components to power the next generation of AI, enhance energy efficiency, and drive customer innovation. These upgrades address growing generative AI demands while improving sustainability. Key features include:
- Simplified designs to lower energy use and reduce failure risks.
- Cooling and control innovations, enabling 12% more compute power per site, reducing the number of data centers required.
- Sustainability upgrades, such as a cooling system cutting energy use by 46%, concrete with 35% lower embodied carbon, and backup generators running on renewable diesel, which reduces greenhouse gas emissions by up to 90%.
These components, already in some AWS data centers, will be fully implemented in new U.S. facilities starting early 2025. Watch this video and read the press release to learn about AWS’s new data center components.
Peter DeSantis shows how AWS is innovating across the entire technology stack
At AWS re:Invent’s Monday Night Live, Peter DeSantis, SVP of AWS Utility Computing, explored the engineering behind AWS services and its role in advancing AI workloads. Joined by Dave Brown, VP of AWS Compute & Networking Services, and Tom Brown, co-founder of Anthropic, DeSantis showcased how AWS delivers performance, reliability, and cost-efficiency for AI.
Highlights included innovations like the AWS Trainium2 chip, purpose-built for machine learning, and the Firefly Optic Plug, which speeds AI cluster deployment by pre-testing wiring. DeSantis emphasized AWS’s commitment to deep customer insights and fast, impactful decisions—like its pioneering investment in custom silicon 12 years ago.
Calling this “the next chapter,” he detailed how AWS innovates across the tech stack to deliver differentiated solutions for the most demanding workloads.
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