DataOps is a methodology and culture shift that brings the successful combination of development and operations (DevOps) to data processing environments. It breaks down silos between developers, data scientists, and...
Category - Data Innovation Summit 2019
From Newton to Machine Learning: Gesture Recognition in Access Control – Gábor Stikkel, HID Global
Every day millions of people in more than 100 countries use HID Global products and services to securely access physical and digital places. Over 2 billion things that need to be identified, verified and tracked are...
April 11, 2019
How to Get Mindblowing ROI from your Analytics and Data Science Teams – Francisca Zanoguera, Expedia
At a time when organizations are buying into the power of data analytics, many are still trying to figure out how to maximize the value they’re getting from their teams. In this session Francisca will be sharing what...
April 11, 2019
Enterprise Analytics: Time to Disrupt the Disconnect – Shaan Mistry, Alteryx
There’s an elephant in the room within the world of enterprise analytics. Teams, functions and data are disconnected. When you scale, the breakages get bigger, and nobody seems to know what to do. The challenge just...
April 11, 2019
Agile Analytics – Building a Data-Driven Culture – Robert Johnson, YouSee
As companies strive to utilize their data to bring about commercial growth, a key learning has been that no matter how sophisticated your tech stack and analytic competency, it is a challenge to get stakeholders to self...
April 11, 2019
Understanding Space a Task for Data Science – Elin Eriksson, Folksam
Presentation of how data science is utilized to understand what happens in space. From handling data to visualizing the result and modelling to try to interpret the result. KEY TAKEAWAYS Data Science is used in many...
April 11, 2019
Empowering an Organization with Self-Service Analytics-Daniel Ågren & Carolina Steinmetz Singer, ICA
During the last year ICA has been transforming the way of working with self-service analytics. In this session we tell you all about what we have achieved, lessons learned and the road ahead.
April 11, 2019
Fast Semantic Proposals for Image and Video Annotation – Srikar Muppirisetty, Volvo Cars
Fast Semantic Proposals for Image and Video Annotation using Modified Echo State Networks – Srikar Muppirisetty, Volvo Cars Manually annotated data for semantic segmentation tasks is time consuming and tough to...
April 11, 2019
Binary is Better for Everything – Robert Luciani, Hao Huang and Velisarios Miloulis, Laketide
Can binary data formats improve every facet of your data science pipeline? Yes! From transmitting data over networks, to working with out-of-core files, and storing the weights of a neural network – fewer bits mean less...
April 11, 2019
AI – ONTAP – ML – LIKEZAP – Leif Nordlund, Nvidia and Fredrik Nygren, NetApp
A deluge of data is fueling AI innovation. It’s a trend that shows no sign of slowing but a lot of AI projects fail, are cost inefficient and why is that? As organizations in every industry around the globe attempt to...
April 11, 2019
