Remove Data-driven Remove Forecasting Remove Manufacturing Remove People Analytics
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PepsiCo transforms for the digital era

CIO Business Intelligence

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. But there is more room to go.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 9: The Impact of COVID-19 on Consumer Technology & Durables

bridgei2i

Recent data indicates that daily e-commerce sales are up by 25 percent in the US and by 33 percent in the UK. The pre-COVID-19 forecasts are no longer kind of valid as the pandemic has entirely disrupted the market. There is a significant shift in the buying channel towards digital e-commerce. Suvodip: Very good question, Melita.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 7: The Impact of COVID-19 on Financial Services & Risk Management

bridgei2i

Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. He has extensive experience in designing solutions for clients using advanced ML techniques to harness information from different forms of data. see a direct adverse impact.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 11: The Impact of COVID-19 on Consumer Packaged Goods Industry

bridgei2i

Now, those were some of the impacts from a manufacturing perspective, but from a supply-side to be able to supply to retailers, I think retailers are also demanding that products should be fulfilled a lot more faster and frequently. Also, Melita, planning, and forecasting, as I spoke about this earlier, is becoming a huge challenge.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 10: COVID-19 | Evolving Trends of Digital Transformation

bridgei2i

If you’re, say, selling disinfectants or essential goods, you’re wondering how to manufacture and ship these goods to the consumer. In the short run, this means they have to get their demand forecast right. Their head is like can we augment data from other data sources that can give us a glimpse into the future.