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Machine Learning Product Management: Lessons Learned

Domino Data Lab

I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018. Pete Skomoroch, San Francisco, November 2018. Pete indicates, in both his November 2018 and Strata London talks, that ML requires a more experimental approach than traditional software engineering.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

It is also important to have a strong test and learn culture to encourage rapid experimentation. What do you recommend to organizations to harness this but also show a solid ROI? Fractal’s 2018 Net Promoter Score is greater than 70. What is the most common mistake people make around data? It is fast and slow.

Insurance 250
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Havmor’s VP IT Dhaval Mankad on ‘melting’ hurdles with a scoop of digital innovation

CIO Business Intelligence

To add perspective, since I joined Havmor, the company has grown significantly, but not the workforce, having reduced by 30% compare to our numbers in 2018, thanks to digital innovation and transformation. Ultimately, all our projects are driven with business and not the IT agenda, and hence need to be backed up with robust ROI calculations.

IT 98
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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Given the two points above, that’s okay—there are good ways to direct data exploration toward ROI. This is not that.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

2018-06-21). So much work in machine learning – either on the academic side which is focused on publishing papers or the industry side which is focused on ROI – tends to emphasize: How much predictive power (precision, recall) does the model have? Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV.

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How generative AI impacts your digital transformation priorities

CIO Business Intelligence

During keynotes and discussions with CIOs, I remind everyone how strategic priorities evolve significantly every two years or less, from growth in 2018, to pandemic and remote work in 2020, to hybrid work and financial constraints in 2022. That’s my key advice to CIOs and IT leaders.