Name: Delivering Innovation using generative AI for software vendors
Start: 2024-08-01T11:00:00Z
End: 2024-08-01T11:00:31.000Z
Location: BrightTALK

Thousands of Software and Technology companies trust Amazon Web Services (AWS) to power their rapid and secure growth through cloud services that can help you scale fast and innovate. Find technical and business resources, talks, testimonials to support your software business migration and transformation.

Practical guide for business leaders on planning and executing agentic AI initiatives, including resource planning, timeline development, and risk management.

Business - Building Your Agentic AI Roadmap: From Pilot to Production

This strategic session focuses on how businesses can effectively price, package, and monetize agentic AI capabilities within their SaaS offerings. Using real customer examples and market data, we'll explore various pricing models, cost considerations, and strategies for maximizing ROI while ensuring customer adoption. In partnership with Simon Kucher.

Business - Pricing & Monetization Strategies for Agentic AI: A SaaS Perspective

Strategic overview of how agentic AI is reshaping business operations, with focus on ROI, use cases, and implementation strategies.

Business - The Business Impact of Agentic AI: Transforming Enterprise Operations

Workshop where participants build and deploy a production-ready AI agent using AWS services. Includes real-time coding and implementation guidance.

Technical - Hands-On Lab: Building Your First Production-Ready AI Agent

Comprehensive exploration of security considerations in agentic AI systems, covering authentication, authorization, data protection, and compliance requirements.

Technical - Securing Agentic AI Systems: Architecture & Implementation

Deep dive into implementing personalized AI agents using Agentic Retrieval Augmented Generation (Agentic RAG) and agentic integration on collaboration protocols such as Model Context Protocol (MCP) and agent-to-agent (A2A. Focus on data integration, model customization, and real-time context management.

Technical - Building Personalized AI Agents: RAG Models & Context Management

This foundational session bridges theory and practice, providing developers and technical leaders with a comprehensive understanding of agentic AI implementation. Through real-world examples and AWS reference architectures, participants will learn how to architect and implement agentic systems that solve real business problems.

INTRODUCTION - Agentic AI for Software Companies: The Fundamentals

Join Informa TechTarget and AWS as we explore the impact of A.I. on the B2B Tech landscape. Our group of expert speakers uncover the opportunities, the challenges and the practical needs that businesses need to consider when incorporating A.I. into their strategies. Filmed in documentary style, this is an original Informa TechTarget video series, with this first episode brought to you by AWS.

B2B Tech and the Dawn of A.I. Episode 01: Navigating the Landscape -  Brought to you by AWS

AI holds incredible promise for organizations of all kinds, but like any disruptive technology, there are challenges to making these things real. Due to obstacles including a steep learning curve and nascent governance and controls, practical enterprise-grade applications of AI are still scarce.

That’s why GBG, a leader in identity and fraud solutions, has worked collaboratively with AWS to unleash generative AI’s potential in their solutions. During this webcast, you’ll learn about GBG’s drive to understand how generative AI could make their products better, the thought process they went through to understand what help they needed, and how their collaborative partnership is leading to symbiotic growth and innovation for both GBG and AWS.

Tune in now to hear from industry experts including Mark Beccue, Principal Analyst at Enterprise Strategy Group, about how you can leverage this partnership to combat real-life fraud.

Gen AI innovation: How GBG and AWS are collaborating to leverage Gen AI to solve real-life fraud

How can you start capitalizing on generative AI? Why isn’t your software-as-a-service (SaaS) transition taking off? And what are practical ways to build the right skills and innovation mindset within your software company?

It was on the stage of AWS re:Invent 2024 that leaders addressed these big opportunities and challenges head on specifically for software and technology companies. Keynotes covered strategies spanning everything from keeping profit margins healthy to achieving cut-through in new markets. But if you missed out, it’s not too late to see how other software companies are gaining the freedom to modernize, innovate, and scale. Dive into some of the session highlights and actionable insights to support your 2025 planning and beyond with Amazon Web Services.

Discover the latest innovations from AWS for Software Companies - re:Invent 2024 re:Cap

In the final episode, we explore strategies for monitoring, analyzing, and continuously optimizing SaaS architectures built on AWS. Gain insights into leveraging observability tools like AWS CloudWatch to monitor metrics, logs, and traces. Turn data into actionable insights by defining KPIs, optimizing resources and coupling performance with cost. Where do you go next? Follow best practices by validating your architecture decisions using the AWS Well-Architected Framework, including the SaaS Lens tailored for software companies building SaaS solutions.

Episode 4: Where to go next?

Businesses and organizations often have a mix of cloud environments, on-premises environments, and edge computing infrastructure. In this episode we cover what hybrid cloud is, common drivers for adopting it, key design principles, and how to implement it across compute, storage, networking, and management using various AWS services.

Episode 3: Something needs to stay on-premises?

Explore Event-Driven Architecture and its advantages in this session, focusing on serverless computing with AWS Lambda and Fargate. Learn about linking microservices and discover practical AI/ML use cases to enhance your architectural strategies.

Episode 2: Reimagine your architecture

In this episode we navigate the world of modernization. It's not just about dealing with your existing technology stack and licensing agreements. There are plenty of opportunities for modernization at every layer of the stack, from databases to operating systems and application code to better support SaaS delivery models.

Episode 1: Modernize your tech stack

Equating SaaS and multi-tenancy might seem natural from a purely technical view but different factors need to be considered. Discover the challenges, opportunities, and best practices of efficiently managing multi-tenancy for your SaaS.

Episode 4: Enabling multi-tenancy

Adding the Control plane to manage tenants is probably the biggest leap for your existing solution towards SaaS. In this episode, learn about the Control plane, what features you should add first and how it will become a centerpiece of your future SaaS.

Episode 3: Adding the Control plane to manage your tenants

After migrating to the cloud, the goal is to realize the full value of SaaS by increasing scalability and agility while reducing costs. To prioritize the right initiatives, businesses must align their technology efforts with strategic objectives. As a guiding framework for this journey, we introduce the SaaS Blueprint, which outlines the key building blocks and considerations for successfully transitioning to and optimizing a SaaS offering in the cloud.

Episode 1: I’ve migrated…. now what?

Explore the concepts of Silo, Bridge, and Pool isolation models for you SaaS. Discuss key considerations for each model, emphasizing their impact on security, scalability, and resource management.

Episode 2: Foundations of SaaS

In this session, learn how to add interactive insights and differentiate your applications with Amazon QuickSight. Discover how you can embed visualizations, dashboards and ML-powered natural language query into your applications at scale, with no infrastructure to manage. Explore real-world examples of AWS customers who have successfully incorporated powerful analytics into their applications, delivering insights and self-service capabilities to thousands of users.

GenBI and Embedded Analytics: Monetize Your Data

Generative AI has initiated a broad exploration for innovative use cases. Many software companies have already successfully completed their first proof-of-concept implementations, and these have been well received by end customers. Now they seek to monetize their innovations. But, at what price? How much are customers actually willing to pay? When calculating the business case, generative AI has many moving parts and the consumption based pricing model of the providers creates challenges. Together with Christian Wirth, Optimal Price GmbH, we help you navigate this journey based on the principles of value-based pricing.

Monetizing Your Generative AI Innovation

In this session, learn how Generative BI in Amazon QuickSight can transform the way your users interact with data, and the value your software delivers to your customers. Allow business analysts to create dashboards using natural language, and enable business users to dive deep into data by simply asking questions. Discover how business users can also use Generative BI capabilities to quickly create compelling stories to drive decision-making, while developers can integrate these capabilities into applications to differentiate and monetize data like never before.

GenAI for BI: The New Frontier of Business Intelligence for software companies

Explore how CxOs harnesses generative AI with AWS for business optimization. This session covers the generative AI landscape and its impact on enterprise software, enhancing automation and creativity. Learn from success stories and case studies of AWS implementations. Delve into AWS's generative AI products, such as Amazon Bedrock and Amazon Q, and their integration in the cloud ecosystem. Understand decision-making and ownership aspects for adopting generative AI and get a roadmap to start with AWS.

Optimising Your Business with AWS Generative AI - Executive Edition

Generative AI: Innovation and Monetization

Independent software vendors (ISVs) face increasing demands to rapidly develop, deploy, and iterate on software products while controlling costs. Generative AI presents a unique opportunity for ISVs to augment human capabilities and accelerate delivery of new products and features, maximising time-to-value. This session will explore how AWS’s generative AI services can help ISVs embark on the innovation journey using Machine Learning.

Delivering Innovation using generative AI for software vendors

Cloud

SaaS

Generative AI

Innovation

AppDev

Application Development

Product Development

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IT Project Management

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Big Data and Data Management

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Data and Analytics

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Delivering Innovation using generative AI for software vendors

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AWS for Software and Technology