You are viewing content from a past/completed QCon Plus - November 2020


Data-Driven Development in the Automotive Field

In the new era of new mobility where solving many challenging tasks of autonomous driving is not possible with classical software development. It is due to the fact that we cannot write every rule by hand and thus we would like to learn it from a huge amount of data recorded by different driving fleet cars. Data-driven software development provides flexibility to learn rules, scenarios etc. from the data that is very successful but it also opens new challenges in the field of the automotive world. Some of the challenges are data management systems, smooth and traceable data access to the various developed processes, method, and tools systems in the chain, working with emerging new rules and standards to certify the product after completion etc.

In my talk, I would like to give insight into how we in the automotive field developing which products with data and what are our challenges, and how we are trying to solve the future complex mobility with rules and standards.


Toshika Srivastava

AI expert @Audi

I am an AI technical team lead at AUDI responsible for AI products development for safety relevant automated driving functions. The scope of my work focus on end-to-end development and deployment of safety-relevant AI modules with Systematic process, method, and tools.  I have 6 + experience...

Read more


Tuesday Nov 10 / 01:50PM EST (40 minutes)


Machine Learning for the Software Engineer

Add to Calendar

Add to calendar


From the same track


Designing Better ML Systems: Learnings From Netflix

Tuesday Nov 10 / 01:00PM EST

Data Science usage at Netflix goes much beyond our eponymous recommendation systems. It touches almost all aspects of our business - from optimizing content delivery to making our infrastructure more resilient to failures and beyond. Our unique culture of freedom & responsibility affords our...

Savin Goyal

Engineer on the ML Infrastructure team @Netflix


Scaling & Optimising the Training of Predictive Models

Tuesday Nov 10 / 02:40PM EST

Modern Machine Learning has brought with it countless advances, both algorithmically and with respect to tooling; there is relentless growth on all fronts. Nevertheless, we are faced with a multitude of challenges when trying to pull all these threads of progress together in a meaningful way,...

Nicholas Mitchell

Machine Learning Engineer at @argoai


Panel: The Purpose of Machine Learning

Tuesday Nov 10 / 03:30PM EST

In the machine learning world, there is no shortage of buzzwords. Each trend follows the next in rapid succession, during the panel we will discuss how and when our panelists decide to pick up on a trend and when to focus on proven technology. We delve into these decisions based on their...

Thomas van Heyningen

Data Science Consultant at NAVARA

Nicholas Mitchell

Machine Learning Engineer at @argoai

Jendrik J├Ârdening

CTO @Nooxit

Diana Hu

Startup Advisor and former CTO for Escher Reality

View full Schedule

Less than


weeks until QCon Plus May 2022

Level-up on the emerging software trends and practices you need to know about.

Deep-dive with world-class software leaders at QCon Plus (Nov 1-12, 2021).

Save your spot for $549 before February 7th