#199 Leaders Exchange: Productionalising ML across the Enterprise: What it Takes to Get this Right!

#199 Leaders Exchange: Productionalising ML across the Enterprise: What it Takes to Get this Right!

Author: Felipe Flores July 27, 2022 Duration: 45:42

For the most innovative and forward-thinking organisations, the next frontier forward for data is focused on machine learning, and specifically the role that MLOps plays in driving outcomes.

Questions that data leaders need to be asking themselves now include: What steps do organisations need to take to deliver ML maturity, how can they take the leap from experimentation to production, and how ML teams be effectively organised and motivated around this goal?

To dive deeply into this critical discussion, Data Futurology recently brought together a panel of some of the leaders in ML strategy and execution. Each of these companies have been successful in productionalising ML across their enterprises, and discuss their strategies and successes in an open and free-flowing discussion:

  • Agustinus Nalwan, Head of AI and Machine Learning, carsales.com.au
  • Farhan Baluch, Principal Data Scientist, Apple (USA)
  • Kendra Vant, Executive GM Data, ML & AI, Xero
  • Ram Radhakrishnan, General Manager Customer Analytics, AI & Data Science at Woolworths Group

These four experts also highlight just how important it is to motivate teams around an ongoing process of learning and discuss how to deliver a dynamic understanding of the changing role of data across the organisation. Whether the data team is inwardly-looking, or focused on customer outcomes, emerging concepts such as “software 2.0” – as mentioned in the webinar – will continue to throw curveballs that MLOps teams will need to have the agility to adapt to and capitalise on.

Ahead of the Scaling AI with MLOps event to be held in Melbourne on October 25, this webinar is a unique opportunity to gain insight from those at the very bleeding edge of data innovation.

Enjoy the show!

Thank you to you our sponsor, Talent Insights Group!

Join us for one of our upcoming events: https://www.datafuturology.com/events

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Read the full episode summary here.


In a field dominated by discussions of algorithms and infrastructure, Data Futurology carves out a different, crucial space. Host Felipe Flores guides conversations toward the human-centric challenges that ultimately determine whether an AI initiative succeeds or fails. This isn't a technical deep dive into model architectures; it's a series of dialogues about strategy, organizational change, and the practical leadership required to bridge the gap between potential and real-world impact. You'll hear from practitioners and executives who have navigated the complex last mile of deployment, where the real work of integrating technology into business processes and culture happens. The podcast explores how to select the right problems, build effective teams, and cultivate an ethical, forward-thinking approach to data science and machine learning. For leaders, managers, and anyone responsible for steering their organization through the adoption of these powerful tools, Data Futurology offers grounded insights and actionable perspectives. It’s about moving beyond the hype to create sustainable value, ensuring that the rapid pace of advancement in artificial intelligence is matched by thoughtful and effective human leadership. Tune in for a necessary complement to the more code-focused shows in your feed.
Author: Language: English Episodes: 100

Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science
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