#212 Structuring Volvo For Operational Success with Leonard Aukea, Head of Machine Learning, Engineering & Operations at Volvo

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

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<div class="span index">1</div> <span><a class="" data-remote="true" data-type="html" href="/series/standup-comedy-your-host-and-mc">Standup Comedy "Your Host and MC"</a></span>

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Standup Comedy "Your Host and MC"

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Celebration of 40+ years on the fringe of show business. Stories, interviews, and comedy sets from standup comics... famous, and not so famous. All taped Live on my Comedy stage. The interviews will be with comics, old staff members, and Friends from the world of Comedy. Standup Sets by Dana Carvey, Jay Leno, Tom Dreesen, Jerry Seinfeld, Larry Miller, Mark Schiff, Bobcat Goldthwait, Paula Poundstone, Garry Shandling, Ray Ramano, Cathy Ladman, Willie Tyler & Lester, and MORE. My web site has many pictures, items for sale, and more information www.standupcomedyyourhostandmc.com

2 tahun yang lalu 45:41

MP3•Beranda episode

The motor industry has always been right at the forefront of innovation, and this is also true when it comes to embracing machine learning and AI. This week’s guest on the Data Futurology podcast is Leonard Aukea, the Head of Machine Learning, Engineering & Operations at Volvo, who shares with us insights into what the global vehicle giant is doing to bring value to the operations chain across the company.

For Aukea, it has been a story of establishing best processes across the organisation. He said that one of his first priorities was to bring the various data science teams together to minimise the impact of siloing, and encourage the machine learning practitioners to adopt software engineering principles. This might not be immediately comfortable to them, but as Aukea said, ML experts are smart people working on complex problems, and facilitating an open-minded approach across the organisation is key to driving long-term success.

“You need to start simple,” he said. “Think about processes, ways of working, and the cultural aspects, and try to fit tooling and infrastructure along that kind of endeavour. You don’t need to choose the most extreme state-of-the-art tools.”

At one point, Aukea noted, things being pushed into production were becoming unmanageable, so he and his teams took a step back and reset. “We went back and decided to focus on first principles,” he said. “We evangelised these first principles to develop good ways of working, and then adopted the infrastructure and tooling towards building AI on top of that.”

Ultimately, Aukea said, quality comes from the processes, rather than the technology. There are, of course, technical challenges, but for anyone aiming to get true value out of machine learning, the focus needs to be on the processes.

Aukea then explains how, with those processes in place, he and his team have been able to start delivering deep and valuable insights. For more on how Aukea was able to structure Volvo for success with machine learning in operations, tune in to the podcast!

Enjoy the show!

Thank you to our sponsor, Talent Insights Group!

Join us in Sydney for Ops World: https://www.datafuturology.com/opsworld

Join our Slack Community: https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng

Read the full podcast summary here.

268 episode

#Data Science #Science #Felipe Flores #Tech

#212 Structuring Volvo For Operational Success with Leonard Aukea, Head of Machine Learning, Engineering & Operations at Volvo

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

349 subscribers

published 2 tahun yang lalu

MP3•Beranda episode

Enjoy the show!

Thank you to our sponsor, Talent Insights Group!

Join us in Sydney for Ops World: https://www.datafuturology.com/opsworld

Join our Slack Community: https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng

Read the full podcast summary here.

268 episode

#Data Science #Science #Felipe Flores #Tech

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This week we bring you a special episode of the Data Futurology podcast, featuring the keynote panel from our OpsWorld conference earlier this year featuring guests at different levels of data maturity. They shared their stories of the journey to enabling and unlocking the true value of data self-service.. The panel featured Kate Carruthers, Chief Data & Insights Officer, UNSW Sydney. She shared the university's experience, which has had a mature data environment for several years. At the other end of the table was Conor O'Neill, Head of Data Science, Compare The Market. He represented an organisation that is rapidly addressing a lack of data maturity across the organisation. The third person on the panel was Arvee Manaog, Head of Enterprise Systems, Data & Information Management, and Integration, EG Australia. She shared insights on how to effectively get organisation-wide buy-in, and then effectively educate all stakeholders on how to effectively use self-service. The panel was wide-ranging, starting off with a discussion around best practices in data self-service, before moving on to an in-depth summary of how to effectively approach self-service from each level of data maturity. There was also a robust Q & A session at the end of the panel. Through the robust audience questions, the panellists discussed strategies for ensuring data trustworthiness in self-service. They also discussed how ROI is best measured with self-service data practices. Businesses of all sizes that want to maximise data value should look at effective self-service approaches. This panel provides invaluable insights into both getting started and continuing to innovate once the data environment has been fully modernised and transformed. Enjoy the show! Thank you to our sponsor, Talent Insights Group ! Join us for our next events Advancing AI and Data Engineering Sydney (5-7 September): https://www.datafuturology.com/events Join our Slack Community: https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng What we discussed: 2:07: Felipe introduces the three panelists. 3:19: Carruthers explains UNSW’s perspective around best practices in data self-service. 6:23: Manaog explains the challenges of secure self-service in EG Australia. 10:38: Manaog explains the initial steps EG Australia took to get started on the data self-service journey. 14:40: O’Neill describes some self-service approaches he's seen work well. 19:50: Carruthers describes how UNSW has kept engagement with DevOps-created dashboards and models high across the organisation. 22:50: The panel takes audience questions, with the first being “How do we influence and motivate data silo owners to share for indirect enterprise outcomes?” 27:07: How can a mature data organisation bring together data literacy and digital literacy across users? 28:11: For a less mature data organisation, how can data leads ensure data trustworthiness in self-service? 30:14: There are trade-offs involved in self-service models. How can those be managed in the pursuit of a self-service culture? 35:38: What are the most effective techniques for measuring ROI with self-service data practices? Key quotes: Manaog: “We’re using DataIQ. And it actually helps because it's easier for users. I got a good adoption rate for that because it’s possible to do drag and drop, there are recipes and users don't need to code. They can easily do their analysis, create their workflows and then come to the hub and say, can you productionise this?” O’Neill: “In one model, we're doing a hub and spoke approach, where we have champions placed within the business units. We are working with those champions to ensure that we understand how they're using the report. It’s not just what they want to see. But in practice, what are they doing with it?”…

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Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science « » #212 Structuring Volvo For Operational Success with Leonard Aukea, Head of Machine Learning, Engineering & Operations at Volvo

#212 Structuring Volvo For Operational Success with Leonard Aukea, Head of Machine Learning, Engineering & Operations at Volvo

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Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science « »
#212 Structuring Volvo For Operational Success with Leonard Aukea, Head of Machine Learning, Engineering & Operations at Volvo