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Q&A Tuesday with Nathan One: Digital Transformation in the Age of Big Data

Jet Global

We know that companies are becoming more data-driven across the board. From your perspective, how can companies ensure that the ocean of data at their disposal actually returns value? I think most companies realized this around 2016, but 2020 is the year when they’ll really get serious about leveraging, optimizing, or monetizing data.

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A Few 2016 Technology Predictions

In(tegrate) the Clouds

I enjoy the end of the year technology predictions, even though it’s hard to argue with this tweet from Merv Adrian: By 2016, 99% of readers will be utterly sick of predictions. 2016 will be the year of the data lake. In 2016, which software company will be the biggest game-changer for the long term?

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4 IT Management Best Practices Data-Driven Businesses Must Practice

Smart Data Collective

Companies that rely on big data need a reliable IT department. You have to make sure that your IT infrastructure is adequately equipped to handle the volume of data your company will be processing and that it will be properly secured. Companies that Rely on Big Data Must Have a Functional IT Department.

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#ClouderaLife Volunteer Spotlight: Alex Campos, Principal Technical Leader, Spain

Cloudera

During his time living in Latin America in early 2016, Alex saw what he describes as a “knowledge gap” —s eeing the way skills, content and expertise are shared in an open, friendly way at conferences in the US, Alex wanted to replicate that in Latin America. Originally from Brazil, Alex previously lived in Chile and now lives in Spain.

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Powering the future: The synergy of IBM and AWS partnership

IBM Big Data Hub

We are in the midst of an AI revolution where organizations are seeking to leverage data for business transformation and harness generative AI and foundation models to boost productivity, innovate, enhance customer experiences, and gain a competitive edge.

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Episode 3: Clearing the Data Path for Innovation at Scale

CIO Business Intelligence

“Having the right tool is just as important as having the ideas, because it allows the people with the ideas to get on and focus on the things that are important,” says Sellers in Google Cloud’s podcast series “The Principles of a Cloud Data Strategy.”. I remember, we used to go and talk to customers, when big data was like a gigabyte.”.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.