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Henkel embraces gen AI as enabler and strategic disruptor

CIO

But to achieve Henkel’s digital vision, Nilles would need to attract data scientists, data engineers, and AI experts to an industry they might not otherwise have their eye on. With gen AI, the AI capabilities have become much more widely usable by people who aren’t PhDs in data science.”

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Extra Crunch roundup: How Duolingo became an edtech leader

TechCrunch

In our latest installment of the EC-1 series , Natasha Mascarenhas goes deep with the company to understand how it found product-market fit, then figured out how to grow like a consumer tech startup and monetize like a SaaS startup. Many fintech startups have tried to become a market-maker between investors and investment opportunities.

Fintech 246
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Connecting Data is a Team Sport

TIBCO - Connected Intelligence

After the webinar, I spoke with Connected Data Group co-founder Erik Fransen, whom I first met at a data virtualization event in 2015. We talked about Erik’s latest insights on the European data and analytics market as well as his fast-growing business. What is driving the European data and analytics market today?

Sport 62
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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

Let's take an example of retail as a domain of interest. One way to create a Spotify model inspired engineering organisation is to organise long-lived squads by retail business process hubs - i.e. specialisation around business process. It is one of the ways you can organise your engineering teams in a retail environment.

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Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

Often, no technologies are involved in data analysis. But decisions are mostly made based on intuition, experience, politics, market trends, or tradition. Usually, there’s no dedicated engineering expertise; instead, existing software engineers are engaged in data engineering tasks as side projects.

Analytics 102