Data Catalogs are the new Black (according to Gartner), Informatica have stated that Data Catalogs are now gaining the greatest interest in their portfolio. There are many different types of Data Catalogs out in the...
Category - Data 2020 Summit 2018
Don’t Build a Data Science Team – Lars Albertsson
Many companies start their big data and AI journey by hiring a team of data scientists, give them some data, and expect them to work their miracles. Although it may yield results, it is not an efficient way to use data...
Can You Build AI With Ever Increasing Fragments of Data Stores? – Kyosti Laiho
Building and using Artificial Intelligence and advanced analytics is gaining momentum, for relatively obvious reasons. As usual with any new data processing systems, it needs to build on data that is relevant for the...
From Data Collection to Data Action – Kevin Simons
Schibsted has been very successful at standardizing the collection of user behavioral data across its many sites. However, this data has primarily only been available to highly technical engineers and data scientists...
Product MDM & Emerging Technologies-Driving Positive Business Outcomes through ML/AI – Jesper Grode
At this session, we will discuss business drivers and potential business outcomes of applying AI and ML in Product Master Data Management. We will discuss use cases within Process Optimization, Automation and Decision...
Analytics Data Warehouse-Built for Business Users on Production From the Day One – Jay T Chinnaswamy
This session covers about four pillars of todayâs traditional organizationâs challenges to achieve reasonably faster business insights based on analytics. They are: Data platform Infrastructure Deployment process Mind...
Digital Platform Information Governance in Vattenfall Group Finance – Henrik Göthberg
Key Takeaways
Why Information Governance and an Information Asset centric view are critical in Finance Information Governance Philosophy: Going from conceptual enterprise value to embedded operational Value
Will Your Data Lake Be a Result of a Lot of Data Strategies? – HĂ„kan Gustafsson
Is Data & Analytics one area that you have a one strategy for? Or will your data lake be a result of a lot of data strategies? Key Takeaways: Data is key for AI, IoT, automation, robotics, machine learning, advanced...
The new Customer Contract – Greg Hanson
Customersâ relationships with providers as we know it today is set to change. In the future we will no longer make purchase decision based purely upon price or peer recommendations but on which companies we trust with...
How to Succeed with Data Governance: A Battle Tested Story – David Dadoun
Organisations everywhere look to analytics to help them become/remain competitive in an ever more challenging business landscape. But what good is Business Intelligence when most canât even trust the data they are using...
