The Data Innovation Summit 2024, orchestrated by Hyperight, is set to unfold on April 24–25 in Stockholm. Under the theme “From Data to Value in the Age of Applied and Generative AI,” this hybrid event edition aims to converge all stakeholders in Data, Analytics, and AI to explore and deliberate on methods to maximize value from data in today’s era of Applied and Generative AI.
Welcome to the Data Innovation Summit, recognised as the largest and most influential annual data and AI gathering in the Nordics and beyond. This event brings together forward-thinking minds and industry practitioners. These practitioners include technology providers, startup innovators, and scholars, all engaged in Applied Data Innovation, Data Science, Big Data, Machine Learning (ML), Applied AI, Generative AI, Data Management, Data Engineering, Architecture, Databases, and IoT. Together, they delve into strategies to expedite AI-driven transformation across companies, industries, and public organizations.
Data Innovation Summit Stages
The Summit unfolds across multiple stages, each offering a unique focus and depth of insight:
1. Keynotes/Opening and Closing Stage: These keynote presentations serve as the cornerstone of the conference, setting the tone for the entire event and weaving together its various themes. Visionaries and leading experts in data, analytics, and AI headline this segment.
2. Machine Learning & MLOps Stage (M1): This technical stage delves into deploying, running, and scaling both applied and generative AI models within an enterprise. Topics include Model Ops, foundational models, AI/ML governance, and AI life-cycle management.
3. Engineering & DataOps Stage (M2): This technical platform explores the tech stack, software infrastructure, and strategies for architecting and implementing data pipelines and infrastructure, be it on-premise, hybrid, or cloud-native.
4. Modern Data Platform Stage (M3): Focused on strategy and technical aspects, this stage addresses the development of a disruptive modern data platform capable of adapting to dynamic business models and workforce operations.
5. Modern Data Strategy Stage (M4): This segment is dedicated to creating a future-proof and agile modern data strategy for the enterprise application of advanced analytics and AI.
6. Business & Data Analytics Stage (M5): Presentations here shed light on enhancing analytics capabilities across adaptable enterprise platforms, covering governance, decision intelligence, data preparation, and more.
7. Data Science & AI Strategy Stage (M6): This stage focuses on establishing a world-class analytics and AI delivery platform, managing Data Science and Advanced Analytics teams, and overseeing the life-cycle of analytics and AI products.
8. Industrial Analytics & AI Stage (M7): Tailored for heavy asset organizations and manufacturers, this stage explores the utilization of machine data, analytics, and AI applications to optimize operational processes.
9. Applied Innovation & Responsible AI Stage (M8): This segment emphasizes application-centric AI innovation within private and public organizations, with a focus on human-centric AI innovation and digital ethics.
10. Databases & Data Quality Stage (M9): Expert-led technical presentations delve into innovative strategies for managing enterprise databases and ensuring data quality, vital for successful analytics and AI applications.
Through these stages, the Data Innovation Summit 2024 offers an unparalleled platform for knowledge exchange, collaboration, and advancement in the realm of Data, Analytics, and AI.
See also: Tech Summit Europe 2024
