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re:Invent 2024: Data, Analytics & AI Recap – December 12th @ 1PM
Whether you missed us in Vegas or have not had a chance to review the fantastic data, analytics and AI sessions online – join the Ironside consulting team for a consolidated 60 minute recap of our favorite updates from re:Invent 2024! Our experts will highlight and summarize the key analytics sessions and many important announcements, so you can get the most out of your AWS Cloud Data & Analytics strategy.
Are you ready to lead the charge and take your business to the next level with AI? Join our exclusive webcast series “Going on the Offensive with AI” to keep your business ahead of the curve.
In the fourth session of the series, “Avoiding AI Failure: Why CEOs Must Master Data Now,” Tim Kreytak and Paul Hardy provide invaluable insight into why ignoring data is a costly AI mistake you can’t afford to make.
Key topics covered in the webcast include:
- Essential Data Management Strategies: Discover the critical data management practices you can’t afford to ignore if you want your AI initiatives to succeed.
- Case Studies of Data-Centric AI Triumphs and Disasters: See real-world examples where strong data management led to AI success—and the catastrophic failures that resulted from neglecting data.
- Infrastructure and Processes to Avert AI Catastrophe: Learn the indispensable infrastructure and processes needed to manage your data efficiently and prevent your AI projects from failing.
This session is a must-view for CEOs looking to harness the power of AI to drive innovation and maintain a competitive edge. Gain valuable insights and actionable strategies to implement AI effectively within your organization.
Data is the driving force of innovation. Organizations need a modern data strategy to think big, start small, and scale fast. Success requires shifting mindset, organizing people and processes to innovate at scale, and deploying technology that accelerates strategic business objectives. Ironside is an AWS Partner in the Data Driven Everything (D2E) program. D2E’s digital transformation program is a use-case driven framework that creates new outcomes using database, analytics, AI and ML. We design a roadmap to achieve a data-driven culture and overcome challenges such as data privacy, security, and compliance. Ironside and AWS help clients move fast with greater precision using the D2E work-backwards approach to address people, process, and technology-related considerations.
Dive into data analytics with a focus on Amazon QuickSight and its transformative Generative AI potential within the Retail Industry. Centralize business data to take advantage of next-generation intelligence and insights. We will demonstrate specific examples of how Amazon Q in QuickSight improves the overall Retail experience: – Optimize Operations – Make informed decisions with predictive financial insights, boost store productivity, and drive continuous innovation with machine learning technologies. Connect your fulfillment centers, stores, and digital platforms for complete inventory visibility. – Transform Customer Experience – Improve customer experiences, such as reducing wait time, improving customer satisfaction, maintaining customer loyalty across a range of touchpoints
Generative AI holds the promise to delivery revolutionary productivity gains for companies of all sizes. In order to maximize leverage of this breakthrough capability, organizations need to evaluate and prepare their data estate for Generative AI integration. In this session you will hear from our Data Engineering and Data Science teams on how to assess your data estate’s readiness for a selected Generative AI project.
SaaS applications have proliferated and delivered significant value to companies alongside their Enterprise applications. In today’s data-rich landscape, untangling the complexity and dependencies between data sets across platforms is crucial. Learn how to overcome data silos by establishing a modern analytics framework that delivers data as a service, maximizing strategic use-cases across SaaS and Enterprise applications.
Ironside shares the cost model advantages associated with replacing existing Business Intelligence tools with Amazon QuickSight. Capturing current versus future costs and using the migration process to optimize efficiencies in BI ecosystems are critical steps in optimizing and calculating ROI.
Delve into how to responsibly and securely deploy Generative AI models within your organizations. This session focuses on Retrieval Augmented Generation (RAG), where clients can load documents into a Knowledge Base, then employees or customers can use natural language to ask questions and retrieve answers.
Ironside and AWS discuss the power of Embedded Analytics. Learn how Amazon QuickSight seamlessly integrates into your business applications with one-click embedding, robust security and customizable permissions. Ironside shares how to generate business value through new revenue streams enabled by Embedded Analytics, and empowering users to make data-driven decisions.
Choose a topic for a wealth of free resources.
Contact Ironside today to tap into our human knowledge base.
Ironside is a data, analytics, and AI consulting and technology implementation company. We work with clients to understand their business objectives and day-to-day challenges, then employ our deep expertise in data strategy, architecture and engineering, integration, business intelligence, AI, and generative AI. We create technical solutions and practical approaches designed to drive smarter, data-driven decisions across a company and help it move further and faster toward its business goals.