How to get machine learning right and make data work harder


This event took place on Sep 27, 2022

Approximately 1 hour(s) with question time included.

About this event

Come and find out how machine learning – done right – can help create more business value for your clients. Gain insights into the best ways to use machine learning, and where to put your focus as a DevOps engineer.

If you’ve ever had frustrations when working with machine learning AI, this is the talk for you. Travelopia offers personalised travel experiences from high-end travel brands. Find out why using machine learning to make greater use of data and better understand their guests didn’t work out on the first attempt, and how they addressed it for future iterations.

DevOps engineers will learn how creating a steel thread from prototype to end-user, and focusing on one use case at a time, dramatically improves the quantity and quality of data insights in order to maximise business value. It’s not about platforms, technology, or scale. Instead, the focus is on determining the best data definitions, what a team should look like, and how to use data insights across an organisation.

You will come away with a different mindset to machine learning: 

  • Focus on user outcomes, not machine learning technology
  • Don’t worry about data platforms, worry about how your teams will self-organise
  • A data inception allows you to intentionally design teams and workloads
  • Making better use of your data insights will set up your organisation for success.


This talk takes place at:

8.30am BST

9.30am SAST

1pm IST

5.30pm AEST



How to get machine learning right and make data work harder

This event has ended however you can watch it, along with other past events, via the link below.


Sreekandh Balakrishnan
Director, Products & Innovation at Travelopia

After completing his Bachelor’s degree in Computer Science, Sree worked in the software industry for several years as a Developer before finding his true calling in solving business problems through technology. Sreekandh loves everything tech, ancient Indian culture, and Sanskrit scriptures.


He enjoys reading about startups, building winning teams, and working on product development.

Simon Case
Head of Data, Equal Experts

He has over 20 years’ experience applying data science and machine learning to create intelligent, connected systems and products for a range of industries including consumer goods, manufacturing, retail, wholesale and telecommunications.

He regularly works at both strategic and implementation levels and is as comfortable helping organisations create and implement their data and AI visions as he is solving point issues with data.