Explore the 2024 Stages
Learn more about the stages
P1 Keynotes, Opening and Closing Stage
The keynote presentations are the pillars of the entire conference and the most memorable presentations of the event. As opening plenary talks, they set the tone of the entire conference, tie all themes together and provide excitement on the presentations that are about to come. This year’s keynote list includes visionaries and leading expert names in Data, Analytics and AI.
M1 Machine Learning & Generative AI Stage
Stage Partner
Technical presentations on deploying, running, and scaling both applied and generative AI models in an Enterprise. Focus on Model Ops, foundational models, AI/ML governance and AI life-cycle management. These sessions will also explore MLOps and LLMOps techniques to enhance delivery time, minimize defects, and boost the productivity of machine learning initiatives.
M2 Data Engineering & Data Ops Stage
Stage Partner
Technical stage focusing on the tech stack, software infrastructure and ways to architect and implement on-premise, hybrid or cloud-native data pipelines and infrastructure to enable analytics and machine learning on rich and quality datasets. Focus on Data-Ops, ML Ops, Auto ML, Cloud ML, Fast Data,fine tuning and much more.
M3 Modern Data Platform Stage
Stage Partner
Strategy and technical stage focusing on developing a disruptive modern data platform that supports shifting business models, adapts to changing workforce operations and dynamically and intelligently connects the enterprise. Focus on the building blocks of a Modern Data Platform, including sources, ingestion, storage, query and processing, transformation, analyses and output.
M4 Modern Data Strategy Stage
Stage Partner
A strategy and technical track focusing on ways to create a future-proof and agile Modern Data Strategy for enterprise grade application of Advanced Analytics and AI, from ownership to implementation. This year’s focus is on the Data Fabric, Data & Information Governance, Big Data Quality, Data Mesh, Data Foundation, Master Data, Warehousing, Data Lake and much more.
M5 Business & Data Analytics Stage
Stage Partner
Strategy and technical presentations on how companies can enhance their analytics capabilities, maintaining a balance between control and agility across their adaptable enterprise platforms suited for various user personas, analytics capabilities, and data use cases. The focus will be on governance, decision intelligence, data preparation, embedded analytics, automated insights, augmentation, data visualization, and Natural Language Querying (NLQ).
M6 Data Science & AI Strategy Stage
Stage Partner
At the Strategy and Business stage, we focus on methods to establish a world-class analytics and AI delivery platform. Learn how to lead and manage high-performing Data Science and Advanced Analytics teams, oversee the life-cycle of analytics and AI products, and enhance the provision of insights and business value to internal and external stakeholders.
M7 Industrial Analytics & AI Stage
Stage Partner
Strategy and technical stage focusing on how heavy asset organisations and manufacturers can develop and use machine data, analytics and application-oriented AI applications to improve operational processes, detect and classify anomalies, thereby effectively reducing downtimes and optimize production and everyday operation.
M8 Applied & Responsible AI Innovation Stage
Stage Partner
The Business and Strategy stage focuses on application-centric AI innovation within both private and public organizations. This includes enhancing customer experiences, improving business processes, reinventing existing business models, and creating new ones. Additionally, the stage emphasizes human-centric AI innovation, encompassing topics such as explainable AI, trustworthy AI, digital ethics, AI for Good, and much more.
M9 Databases & Data Quality Stage
Stage Partner
On this stage, we are showcasing expert-led technical presentations that delve into innovative strategies for managing enterprise databases, ensuring data remains accurate, consistent, and reliable at all times. These sessions will also highlight the pivotal role of effective data quality management in paving the way for successful analytics and AI applications.
DO Data Octagon Online Programme
Live streamed program providing insight into current data practices, trends, challenges and opportunities, as well as give overview of the latest technological breakthroughs, and glimpse into the future of data management, analytics and automation. This free program consists of 45 minute panels and product overviews and is live-streamed online on Hyperight Youtube channel.
Wx Workshops
Several rooms for short workshops and crash-courses. The sessions are 100 minutes long and will provide training on various organisational, business, and technical topics. The rooms are the lower part of the venue and limited to 24 people per crash-course session.
Workshops available on the schedule below 👇
Data After Dark ‎‎ The Data Innovation Summit Party
What is a great event without a great party? After the official end of the first summit day, this year again we are organizing a Data After Dark networking party at the venue for the delegates attending the event. This is a great opportunity for the delegates to network in an informal environment and makes meaningful connections and memories. The Data After Dark program will take place in the plenum area. It will start after the end of the Expo Crawl and will last until 00:00 CET. Refreshments and finger food can be found in several locations in the expo area.
APRIL 26TH, 10:00 AM | KUNGSTREDGĂ…RDEN, STOCKHOLM
ROUTE: SCENIC LOOP AROUND KUNGSHOLMEN ISLAND
Explore Stockholm Like Never Before!
Are you ready to lace up your running shoes and take on a unique journey? The first-ever Data Innovation Summit Run (DIS Run) invites all summit attendees to experience the beautiful city of Stockholm from a different perspective. This 10 km run, winding around the picturesque Kungsholmen Island, offers breathtaking views of iconic buildings and scenic landscapes.
Why Join the DIS Run?
- Scenic Route: Enjoy a curated path showcasing Stockholm’s most photogenic spots.
- Networking Opportunity: Connect with fellow data enthusiasts in a relaxed, informal setting.
- Knowledge Exchange: Share insights and stories with other delegates as you jog along.
Key Information:
- Registration Required: We need to know how many runners to expect to ensure a smooth experience for everyone.
- Open to All Skill Levels: Whether you’re a seasoned runner or a casual jogger, this run is for you.
- Meetup Point: Gather at King’s Garden, ready for an exciting start.
Browse the Data Innovation Summit 2024 Schedule
Pick a day and stage and get the info you need
