To be successful at Data Governance you need to invest a lot of effort in managing and influencing stakeholders in your organisation at all levels. In this session, Nicola will share tips and approaches to help you be...
Category - Data Innovation Summit 2021
Merging the two strategic pillars of business “IT” & “Digital” – Girish Agarwal, PIAB
Are these two same technology stacks or different. Companies are struggling to keep IT and Digital synced up together. There are different approaches taken by organizations to ensure that the best of both the words is...
Data Integration: how iPaaS accelerates your time to value – Claes Huber, Boomi & Andreas Carlsson, Gislaved Gummi AB
Learn how iPaaS can help to integrate data easy and quickly: overcome IT complexity and break down data silos by integrating on-premises and cloud application, various data sources and devices. Understand how...
Introducing data science in large organizations – Adriano Di Toppa, Kemin Industries
The presentation will illustrate the process followed to design and implement a new cloud based data architecture which includes Azure Databricks. The presentation will describe the process used to elicit business...
The Data Management revolution for the Real Estate Industry – Kevin Larsson, Fastighets AB Balder
Kevin Larsson, Head of BI & Analytics at Fastighets AB Balder, will share his experience of modernizing Balder’s data estate and creating a more data-driven organization. This based on a strategy that was...
The 4 disastrous situations we have faced when meeting prospects – Luc Legardeur, ZEENEA
In this presentation, I won’t discuss Data Cataloguing at all. Without mentioning anyone directly, I will make a parallel between political regimes and real-life situations we came across with certain customers...
Time to kick your grandfather’s data org to the curb – David Dadoun, BRP
For decades companies have tried to find the optimal configuration for the data organizations. Some have succeeded but many more have failed. Join David to review some of the models history has brought and a new angle...
Feature Engineering and Data pipelines in Social Media – Nastaran Ghadar, Twitter
During this session, I will discuss current practices as well as challenges of acquiring data from different users and making it accessible for ML pipelines. Key Takeaways How to use data from usersWhat infrastructure...
Time Series Forecasting at Scale – Lessons learnt from more than 10000 training jobs – Edgar Bahilo RodrĂguez & Mohamed Ahmed, Siemens Energy
[ Time series forecasting production workloads are challenging by nature. More than often individual simple statistical models like ARIMA or Prophet tend to give sufficient performance to not consider more sophisticated...
A journey towards DataOps in a Pharma context – Alexander Zafirov, Leo Pharma
Get to know the challenges in working in a data-centric manner and adopting the DataOps mindset in a Pharmaceutical company like Leo Pharma. See how the intersection between methodology, internal requirements and tech...