AWS Blog

Transforming the Software Development Lifecycle (SDLC) with Generative AI

Transforming the Software Development Lifecycle (SDLC) with Generative AI

Discover how IBM and AWS are revolutionizing software development with their new Generative AI-powered SDLC solution. By integrating Amazon Bedrock’s capabilities, organizations can achieve up to 30% faster development time, 25% improved code quality, and 60% reduction in analysis phase time. Available now on AWS Marketplace, this solution brings standardization and efficiency to every stage of the software development lifecycle.

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Reduce your operational overhead today with Amazon CloudFront SaaS Manager

Reduce your operational overhead today with Amazon CloudFront SaaS Manager

Amazon CloudFront SaaS Manager helps software-as-a-service (SaaS) providers and web hosting platforms efficiently manage delivery across multiple domains. CloudFront SaaS Manager can dramatically reduce operational complexity while providing high-performance content delivery and enterprise-grade security for every customer domain.

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Streamlining content compliance: Automating media analysis with Amazon Nova

Streamlining content compliance: Automating media analysis with Amazon Nova

Streamline content compliance using Amazon Bedrock and Nova foundation models to automatically analyze content across multiple rating systems, significantly reducing review time while maintaining accuracy and lowering costs.

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  • David Marsh, Evence Edoun, 05/06/2025
    Nonprofit organizations face unique security challenges due to their resource constraints and prioritization of mission-focused initiatives. In this blog post, we discuss Amazon Web Services (AWS) security best practices to accelerate mission impact and demonstrate how upfront security investments can both improve security and save time on redundant processes in the long run.
  • Derek Doerr, 05/06/2025
    Government agencies face an unprecedented challenge when designing security against unauthorized access to IT infrastructure and data. Traditional perimeter-based security models—which rely on the assumption of trust within an organization’s network boundaries—are no longer sufficient. The wide adoption of bring-your-own-device (BYOD) and cloud-based resources requires adopting additional security measures beyond the traditional perimeter-based models. High-profile [...]
  • Katie Dixon, Joy Ragin, 05/06/2025
    While the National Football League (NFL) may be in the offseason, the FOX digital video platform team is already planning for the next Super Bowl broadcast. Raising the bar, yet again, will be no small feat considering FOX’s Super Bowl LIX stream shattered previous records. In preparing for Super Bowl LIX, the FOX digital video [...]
  • Sim Yuanwei Aaron, Hardeep Arora, 05/06/2025
    In this post, we discuss Health Kaki, a generative AI health companion using the Amazon Bedrock foundation model (FM), and highlight how the team that developed Health Kaki navigated the challenges of scaling from concept to real-world implementation.
  • Ghandi Nader, Hari Radhakrishnan, Alex Rees, Umesh Kalaspurkar, 05/06/2025
    Hyper-personalization is transforming digital marketing and enhancing customer experience. This blog post explains how the Braze customer engagement platform, augmented by Amazon Web Services (AWS) Generative AI services, revolutionizes your brand-customer interactions. By integrating Braze with AWS’s advanced AI capabilities, you can forge more meaningful, real-time connections with your customers. Using Amazon Bedrock, Braze creates highly personalized content that adapts to your customers’ individual preferences and behaviors in real time. This approach facilitates tailored messaging, recommendations, and interactions that resonate deeply with each user, driving immediate engagement, long-term loyalty, and revenue growth. In this post, we’ll explore how strategically integrating Braze and AWS transformed customer engagement strategies, fostering a more personalized and profitable customer journey.
  • Sam Bydlon, Dr. Moritz Maier, Ram Dhiwakar Seetharaman, Ryan Qi, 05/06/2025
    In this post, we’ll examine how this multi-agent approach works, the architecture behind it, and the efficiency improvements it enables. While the focus is on an engineering use case, the principles apply broadly to any organization facing the challenge of coordinating specialized expertise to deliver faster, more consistent results.
  • Emilie Huffman, Sebastian Hassinger, Sebastian Stern, 05/06/2025
    Quantum computing holds the key to unlocking new frontiers in physics simulation. Our latest blog post demonstrates how to use Amazon Braket to simulate a model relevant to quantum chromodynamics, the fundamental theory of quarks and gluons. Discover the potential of this cutting-edge technology.
  • Justin Swagler, Doug Tiffan, 05/06/2025
    The retail industry faces an increasingly complex returns challenge that impacts both operational efficiency and bottom-line profitability. With online return rates averaging 15.2 percent – triple the rate of in-store purchases – and returns accounting for $743 billion in lost sales in the US alone last year, retailers need innovative solutions to address this growing [...]
  • Brian Beach, 05/05/2025
    Back in March, I wrote about the new agentic coding experience within the Amazon Q Developer CLI. Recently, Amazon Q Developer announced that it has added a similar experience to the integrated development environement (IDE). Agentic coding in the IDE allows you to work with Amazon Q Developer to read and write files locally, run [...]
  • Maggie Verrall, Jeffrey Luks,, John Hill, 05/05/2025
    In this post, we share how the Northeastern Regional Information Center (NERIC) partnered with Mindex to develop an innovative cross-district scheduling solution powered by Amazon QuickSight, enabling school districts to efficiently share course information and dramatically reduce the time needed to place students in courses across district boundaries.

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