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Thermo Fisher transforms its customer experience

CIO Business Intelligence

in 2016, and BD Advanced Bioprocessing in 2018. 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 2013, Alfa Aesar in 2015, Affymetrix and FEI Co. Catalyzing change.

IT 104
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Chipotle’s recipe for digital transformation: Cloud plus AI

CIO Business Intelligence

Removing the physical speaker box on site was a simple concept but a key part of a bigger digital transformation Chipotle kicked off in 2018 that led to an explosion in business, in large part because the digital ordering system required less human labor during the pandemic. Chipotle’s digital business in 2022 was $3.5

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

Corinium

Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. Newer methods can work with large amounts of data and are able to unearth latent interactions.

Insurance 250
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Turning Streams Into Data Products

Cloudera

Moving beyond traditional data-at-rest analytics: next generation stream processing with Apache Flink. By 2018, we saw the majority of our customers adopt Apache Kafka as a key part of their streaming ingestion, application integration, and microservice architecture. Without context, streaming data is useless.”

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My introduction and my love for DATA

Sanjeev Mohan

Each client and vendor I have interacted with is the beginning of a lifelong professional relationship. And each colleague I interact with is the beginning of a lifelong friendship. Like the Big Apple, data is a topic that never sleeps. We are done proving the value of the data lakes.

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Nexthink scales to trillions of events per day with Amazon MSK

AWS Big Data

The loose coupling between event publishers and subscribers empowered teams to focus on distinct domains, such as data ingestion, identification services, and data lakes. Secure data access Transitioning to our new architecture, we met our security and data integrity goals.

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Doing a 180 on Customer 360 – The Preferred Path to Customer Insights

Cloudera

The abundant growth of data, maturation of machine algorithms, and future regulatory compliance demands from the European Union’s General Data Protection Regulation (GDPR) will shift the landscape for creating a single source of the truth for customer data.