DATA STRATEGIES FOR AI-DRIVEN ORGANISATIONS
Data2030 Summit 2021
5th Edition
8th – 11th February | Online Event
About the Summit
Data2030 Summit is an annual strategy roundtable event gathering the Data Management community in one platform to discuss ways of enabling faster Data Innovation and AI deployment across the enterprise by setting up a modern Data Management strategy and platform for the new decade. With domestic and international speakers presenting across three days, roundtable discussions and plenty of other learning and networking activities, the 2021 online summit is the place to be for all CDOs and data practitioners working with Information Management, Data Governance, Master Data Management, Data Quality, Enterprise Architecture and DataOps.
The 2021 program focuses on the most business critical Data Management challenges as well the latest methodologies, strategies and tools used by organizations to address those challenges. The program is divided in three days, each day focusing on a specific topic.
3 Days. 2 Regions. 1 Event.
For the past five years the event has served as a remarkable knowledge-sharing and networking platform for data practitioners in the Nordics. This special 2021 online edition of the event goes beyond the Nordics and extends its reach to the MEA region as well.
Streamed as two parallel stages through one platform, the delegates from both regions will have the opportunity to follow regional presentations as if on an independent event, but also have the opportunity to hear the other region presentations and network with all participants from the both regions. This setup provides personal regional insights and benefits, as well as cross regional benchmarking and networking possibilities.
Data Governance & Data Quality
Strategy and technical day focusing on ways of create an agile and modern data strategy with sustainable Governance and Data Quality as a prerequisite for enterprise grade integration of Advanced Analytics and AI – from ownership to implementation. The presentations are held in English and in duration of 30 minutes.
Cloud Enabled Modern Data Platform
Strategy and technical day focusing on how organizations can manage applications, assets and resources across traditional and multi-cloud environments in ways that deliver visibility, automation and governance. The presentations are held in English and in duration of 30 minutes.
DataOps | Master Data Management
Technical day focusing on techniques to applying agile, collaborative and user-friendly approach to building and managing Data Pipelines. The presentations are held in English and in duration of 30 minutes.
Topic related Roundtables
During the main three days event, through the event app the delegates and partners will have the opportunity to join topic related roundtable discussions moderated by experts and speakers. All roundtables are 45 min and can host in total 8 participants including the moderator. This small group setup incentivises deeper conversations and allows all participants to have an opportunity to share their thoughts on the area.
Regional Stages
The two regions, the Nordics and The Middle East region, will have a dedicated stage with a schedule based on their regional time zone. At some point of the day the two stages meet for joined presentation or roundtable discussions. Delegates attending the event can also participate or review the presentations of the other region as well network with all the participants at the summit.
Limited Edition
As with the past editions of the event, to maintain the networking and knowledge-sharing experience, the summit is limited to a maximum of 200 participants per region. Speakers and exhibitors are carefully prequalified and selected to match the current regional market challenges, and provide outstanding content and insights relevant to the participants attending. The event has been sold out way in advance, on the past 5 editions.
2021 Agenda Structure
3 Days of Keynotes, Talks, Roundtables
delivered by the best in the field of Data Management
The Data2030 Summit is envisioned as a learning and benchmarking event with roundtable discussions placed in the center of the program to ensure maximum knowledge-sharing impact and that everyone’s voice is heard. The 2021 edition is structured as a three-day online program with additional pre-event networking day.
Explore the agenda and build your own schedule based on topics and sessions you would like to attend across all stages and crash-course workshop rooms.
Request, download and explore
Find out everything about the Summit – delivered in one simple PDF Agenda.
Meet our speakers
Data reading hub
What I’ve learnt from cloudifying Electrolux: Interview with Kaveh Djavaherian
The first tenet for successful cloud implementation is respecting the organization’s history, culture, way of working and people. Of course, robust cloud architecture that offers uninterrupted access to data and applications is a must, but your efforts will be in vain if you don’t have the support of the right people and network of allies. These are some of the crucial learnings Kaveh Djavaherian, Head of Global Cloud & Hosting at Electrolux, underlined from his ample experience with executing cloud strategies and infrastructure management. Kaveh Djavaherian revealed his valuable insights gained through leading cloud implementation in Electrolux and other organizations. More to come during his Data 2030 Summit presentation in February.
What is Data Mesh? And should you mesh it up too?
Data Mesh is one of the hottest topics in data analytics at the moment. It has found its way into the trends that are predicted to disrupt and dominate the data market in 2021.
But what exactly is Data Mesh and why more and more companies are looking to implement the latest trend in the data industry?
In the age of data as a first-class citizen, every enterprise strives to be data-driven, pouring hefty investments into data platforms and enablers. However, the ever-growing data demands are no match for the traditional data warehouse or data lake with limited real-time streaming capabilities.
Data management trends that experts forecast for 2021 and beyond
The past tumultuous year saw many organisations caught up in a cloud frenzy, heavily investing in data lakes and data warehouses to get the most out of their precious data in a more flexible, scalable and efficient way. But despite the investments, we saw the data management was still a big challenge for companies in 2020. The majority of them still struggled with legacy systems, lack of domain-specific skills, lack of clearly defined data governance policies and poor data quality, preventing them from thriving in their data and AI innovations. It was clear that the new circumstances required enterprises to review their data management strategies and design platforms to support their AI-driven ambitions.
Ingrain fact-based decision making into your company DNA: Interview with Laila Kakar
Data-driven or fact-based decisions have a great many possibilities and benefits to transform the business. But the most important step is to turn the insights into actions, because facts without action demonstrate the mechanism of memory, but not that of understanding, explains Laila Kakar, Senior Manager at MTN (GSSC).
We’ll hear Laila Kakar at the Data 2030 Summit in her session on How to measure the unmeasurable – translating SMART data into insights, where she’ll tell you more about how to start making fact-based decisions and how machine learning can support you in your decisions.
Co-Host Partner | Nordics
Co-Host Partner | MEA
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Whitepapers
Performance Evaluation of NoSQL Databases-as-a-Service with YCSB: Couchbase Cloud, MongoDB Atlas, and AWS DynamoDB
This 24-page report evaluates and compares the throughput and latency of Couchbase Cloud, MongoDB Atlas, and Amazon DynamoDB across four varying workloads in three different cluster configurations.
Case Study Data Governance – Achieving Full Compliance and Building Trust in Data
Read how MANTA helped a large customer from the financial industry illustrate complex flow and the calculation of their risk assessment processes and meet their BCBS 239 obligations within the given timeline.
Case Study Migration – Data Lineage for Smooth, Controlled, Effective Migration to the Cloud
More than 200,000 objects in a large legacy Teradata database were migrated step-by-step, on time, and with few to no issues.
Case Study DataOps – Enabling DataOps in a Large DWH with Automated Lineage for Shorter, Bug-Free Releases
Read how MANTA helped a customer facilitate frequent changes, releases, and continuous deployment in a large environment of over 1,000,000 algorithms.
Ultimate Guide to Data Lineage
Here is everything you have ever wanted to know about data lineage but were afraid to ask.
Even though the amount of data that companies store and process has skyrocketed over the past few years, they still struggle to make use of it.
Business Benefits of Using MANTA
Download the document to have MANTA’s business benefits handy and find out how MANTA’s Unified Lineage Platform helps boost governance efforts, accelerate development, shorten time-to-market, speed up the modernization process, and ensure data quality and security.
Pictures from the previous
Data2030 Summit 2021 Online Edition made possible by
Agorify
Agorify is a self-service platform for building engaging online and onsite event applications. Through Agorify, delegates will be able to set up their profiles, browse through the schedule, build their own agenda, view live or on-demand presentations, comment, ask questions, vote for favourite questions, take notes, join or create chat discussions, join virtual roundtables, connect with other attendees, schedule meetings, share contacts and much more.
