Speaker

Adam Sroka

Adam Sroka

Head of Machine Learning Engineering, Origami Energy

Glasgow, United Kingdom

Actions

Dr Adam Sroka, Head of Machine Learning Engineering at Origami Energy, is an experienced data and AI leader helping organisations unlock value from data by delivering enterprise-scale solutions and building high-performing data and analytics teams from the ground up. Adam shares his thoughts and ideas through public speaking, tech community events, on his blog, and in his podcast.

Many organisations aren't getting the most out of their data and many data professionals struggle to communicate their results or the complexity and value of their work in a way that business stakeholders can relate to. Being able to understand both the technology and how it translates to real benefits is key.

Simply hiring the most capable people often isn’t enough. The solution is a mix of clear and explicit communication, strong fundamentals and engineering discipline, and an appetite to experiment and iterate to success quickly.

If this is something you’re struggling with - either as an organisation finding its feet with data and AI or as a data professional - the approaches and systems Adam has developed over his career will be able to help so please reach out.

Cutting edge data technologies are redefining every industry and adopting these new ways of working can be difficult and frustrating. One day, there will be best practices and playbooks for how to maximise the value from your data and teams, but until then Adam is eager to share his experiences in both business and data and shed some light on what works.

Area of Expertise

  • Business & Management
  • Information & Communications Technology
  • Physical & Life Sciences

Topics

  • Machine Learning
  • AI
  • Artificial Intelligence
  • Data Science
  • Machine Learning Engineering
  • Consulting
  • Management
  • Leadership

When is data science the answer?

All too often organisations get caught up in the hype around machine learning and data science, often getting caught up in 'me-too' projects.

For all its merits, data science isn't always the best solution to a problem. Many problems can often be solved faster, cheaper, and easier by identifying the right approach early.

This session highlights methods for discovering which problems are best resolved by the skills data scientists bring to the table so that you can save the guesswork and frustration.

Azure and Dynamics and AI, Oh My!

“You have plenty of courage, I am sure. All you need is confidence in yourself.”

How to harness the power of AI using Dynamics 365 and Azure.

When Domains Collide - How to Support Multi-domain Products with Scalable Data Architectures

Getting data architectures to support single domain products is tough. Things can get really uncomfortable when you’re dealing with three!

Energy organisations have to consider the physical data coming from assets, contractual data about their obligations, and market data about pricing – all in real-time.

This talk walks through some of the unique considerations of the energy sector and the data architecture Origami is using to manage all this complexity to deliver scalable, configurable products to empower the energy sector with a first-class analytics platform. We’ll cover some of the design decisions, challenges we’ve encountered, and next steps.

Adam Sroka

Head of Machine Learning Engineering, Origami Energy

Glasgow, United Kingdom

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top