Remove 2018 Remove Experimentation Remove Management Remove Testing
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Generative AI’s change management challenge

CIO Business Intelligence

BCG asked 12,898 frontline employees, managers, and leaders in large organizations around the world how they felt about AI: 61% listed curiosity as one of their two strongest feelings, 52% listed optimism, 30% concern, and 26% confidence. A lot has happened since that last survey on attitudes to AI in 2018.

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Machine Learning Product Management: Lessons Learned

Domino Data Lab

It focuses on his ML product management insights and lessons learned. If you are interested in hearing more practical insights on ML or AI product management, then consider attending Pete’s upcoming session at Rev. I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018.

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How Italian CIOs produce value with gen AI

CIO Business Intelligence

Another gen AI application winning over CIOs is its knack for coding, according to Alessio Maffei, ICT manager of Milan-based student and family-focused travel company Inter-studioviaggi. “At Having overcome the initial perplexity about ChatGPT, Maffei tested gen AI in coding activity and found great benefits.

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

Corinium

Moreover, rapid and full adoption of analytics insights can hit speed bumps due to change resistance in the ways processes are managed and decisions are made. Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments.

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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

AutoPandas was created at UC Berkeley RISElab and the general idea is described in the NeurIPS 2018 paper “ Neural Inference of API Functions from Input–Output Examples ” by Rohan Bavishi, Caroline Lemieux, Neel Kant, Roy Fox, Koushik Sen, and Ion Stoica. Program Synthesis Papers at ICLR 2018 ” – Illia Polosukhin (2018-05-01).

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

Software engineering made major breakthroughs two decades ago by applying reductionist techniques to project planning and management. 2018-06-21). That’s not especially good news for data science teams pressured by management to be “agile” and crank out lots of models rapidly. Quick summary: there’s a persnickety problem.

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Regeneron turns to IT to accelerate drug discovery

CIO Business Intelligence

When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5 Empowering scientists through the cloud McCowan set about migrating Regeneron to Amazon Web Services in late 2018. If you are not on the cloud, you are going to be left behind.”

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