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Chipotle’s recipe for digital transformation: Cloud plus AI

CIO Business Intelligence

When Curt Garner became Chipotle’s first CIO in 2015, the only technology used for online restaurant ordering was, “believe it or not,” a fax machine, he says. Chipotle’s digital business in 2022 was $3.5 Chipotle’s digital business in 2022 was $3.5 Seven years later, the Newport Beach, Calif.-based

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What a quarter century of digital transformation at PayPal looks like

CIO Business Intelligence

We grew hand in hand with eBay and have continued to do so after separating in 2015.” One strategy, five keys From a technological point of view, the brand’s strategic engine is divided into five investment areas. At the lowest layer is the infrastructure, made up of databases and data lakes.

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2016 Data Predictions from Gaurav Dhillon

In(tegrate) the Clouds

Gaurav Dhillon , the co-founder and CEO of SnapLogic , who also co-founded Informatica in the early ’90’s and was CEO of that company for 12 years, posted 4 data predictions and 1 market prediction this week on LinkedIn and the SnapLogic blog. Rising Data Lakes will Drown the Warehouse. Happy New Year!

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UAB IT helps fuel genomic breakthroughs

CIO Business Intelligence

took over as CIO at University of Alabama-Birmingham in 2015, he confronted a “computer science museum,” as he calls it — instances of every operating system, storage device, and application on the market for the past 30 years. Next up: AI and data lake decisions. When Dr. Curtis Carver, Ph.D.,

IT 88
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Thermo Fisher transforms its customer experience

CIO Business Intelligence

in 2013, Alfa Aesar in 2015, Affymetrix and FEI Co. The rapid growth left the company highly dependent on fragmented, manual processes and disparate data sources and systems. The team also built a centralized data lake on AWS, Databricks, and Power BI. in 2016, and BD Advanced Bioprocessing in 2018. Catalyzing change.

IT 106
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Turning Streams Into Data Products

Cloudera

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. Without context, streaming data is useless.”