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From vision to value: A strategic approach to generative AI adoption

CIO

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.

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Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock

AWS Machine Learning - AI

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.

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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

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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Using Generative AI to Drive Corporate Impact

TechEmpower CTO

Generative AI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact.

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Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

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.

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

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.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

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.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Setting & Managing Expectations 📊 Establish and effectively manage realistic expectations for the performance, capabilities, and limitations of LLM-based products throughout their lifecycle. Stakeholder Engagement 👥 Learn strategies to secure buy-in from sales, marketing, and executives.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Join Travis Addair, CTO of Predibase, and Shreya Rajpal, Co-Founder and CEO at Guardrails AI, in this exclusive webinar to learn: How guardrails can be used to mitigate risks and enhance the safety and efficiency of LLMs, delving into specific techniques and advanced control mechanisms that enable developers to optimize model performance effectively (..)

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving. Using this case study, he'll also take us through his systematic approach of iterative cycles of human feedback, engineering, and measuring performance.

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Revolutionizing Contact Centers: Next-Gen Tech for Enhanced CX

Speaker: Liran Meir Frenkel, Performance Management and RPA Sr Product Marketing Manager at NICE; Harpreet Makan, Practice Director at Everest Group; & Santhosh Kumar, Practice Director at Everest Group

Discover a holistic approach across three pillars - people, process, and technology - that is essential to excel in this dynamic landscape, and explore how next-gen technologies such as generative AI, performance analytics, and process intelligence play a pivotal role in transforming contact centers into advanced CX hubs.