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Welcome to our Data & Analytics Resource Center
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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.
Whether you missed us in Vegas or have not had a chance to review the fantastic data and analytics sessions online – check out our consolidated 60 minute recap of our favorite updates from re:Invent 2023! Our experts highlight and summarize the key analytics sessions and many important announcements.
Some of the topics we cover include: AI Assistant with Amazon Q, New RDS for Db2, Redshift’s new AI capabilities, SageMaker, Bedrock, and more.
Our goal is for you to get the most out of your AWS Cloud Analytics strategy.