CIO
NOVEMBER 22, 2024
Generative AI has the potential to redefine productivity, create novel applications, and reinvent customer experience. Their conversation started, like so many around generative AI, with an overview of especially high-impact use cases. The first implementation] has to generate real ROI,” Henderson said.
AWS Machine Learning - AI
NOVEMBER 6, 2024
The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. Solution overview For this solution, you deploy a demo application that provides a clean and intuitive UI for interacting with a generative AI model, as illustrated in the following screenshot.
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AWS Machine Learning - AI
NOVEMBER 7, 2024
While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.
AWS Machine Learning - AI
MARCH 4, 2025
In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process. We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. Save your seat and register today! 📆 June 4th 2024 at 11:00am PDT, 2:00pm EDT, 7:00pm BST
AWS Machine Learning - AI
NOVEMBER 1, 2024
As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex.
AWS Machine Learning - AI
OCTOBER 29, 2024
Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In the context of Amazon Bedrock , observability and evaluation become even more crucial.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
This pragmatic approach is generally applicable, and will provide significant value to developers who are aiming to improve accuracy and speed! Using this case study, he'll also take us through his systematic approach of iterative cycles of human feedback, engineering, and measuring performance.
Speaker: Yohan Lobo and Dennis Street
From automation to generative AI, learn how to optimize workflows, reclaim valuable time, and attract top-tier talent with cutting-edge technology. 🧠 The Role of Generative AI in Accounting: Discover how new technology can amplify staff effectiveness, support decision-making, and improve overall performance.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Don't miss out on this opportunity to stay ahead of the AI curve!
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Fostering Collaboration 🤝 Learn how to create an organizational culture that embraces AI, encouraging collaboration between AI experts, product teams, and other stakeholders.
Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn
In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. This presentation unveils a comprehensive 7-step framework designed to navigate the complexities of developing, launching, and scaling Generative AI products.
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