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How the CDO reached the C-suite and where it goes from here

The importance of data today is turning its stewards into leaders

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How enterprise knowledge graphs can proactively reduce risk

Incorporating knowledge graphs with artificial intelligence offer newfound ability to seek out data security threats instead of simply reacting once noncompliance or data losses occurs

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Replication isn’t data protection. Here’s why

Despite replication increasing in usage over traditional backup workflows, it’s not enough to protect your data alone

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When data becomes a service

The need for data to fuel effective artificial intelligence solutions and how to collect it via model-as-a service and insights-as-a service

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Worlds collide in information management

The convergence of several interrelated functions of information management are fueling a push toward unified information governance

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Fixing data quality first? You’re doing it wrong

In today’s hyper-competitive business environment, the companies that get data to their teams faster and solve specific problems will outperform those who are preoccupied with data perfection

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Microsoft adds Python support to Power BI

A preview feature allows Python scripts to be used as data sources and as a way to create visualizations in Power BI Desktop

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What’s new in TensorFlow machine learning

Google’s TensorFlow 2.0 beta is expected later this year, with a focus on improving performance and correcting mistakes in compatibility and continuity

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Machine learning: How to create a recommendation engine

In this excerpt from the book “Pragmatic AI,” learn how to code recommendation engines based on machine learning in AWS, Azure, and Google Cloud

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Why there are no shortcuts to machine learning

As long as companies understand that good data science takes time in an enterprise, and give these people room to learn and grow, they won’t need shortcuts

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What’s new in Julia: Version 1.0 is here

New package manager, better optimization debut in the first production release

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Data is the lifeblood of AI, but how do you collect it?

AI and lots of good data go hand in hand, but it can be a challenge for companies to aggregate it

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Julia tutorial: Get started with the Julia language

Want the convenience of a dynamic language and the performance of a compiled statically typed language? Try Julia

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Data is inherently messy. Is that really such a bad thing?

In an imperfect world, consider shifting your data quality mindset from “how do I clean all this up?” to “how do I make the most of this state of affairs?”

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Why we lose out if we leave everything to algorithms

If we trust a measurement system wholly to data and algorithms, will it inevitably be gamed by the humans it measures?

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How to build stateful streaming applications with Apache Flink

Take advantage of Flink’s DataStream API, ProcessFunctions, and SQL support to build event-driven or streaming analytics applications

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Practical use cases for real-time decisioning

Real-time decisioning has its place in almost every transaction and interaction you have with data and technology today

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Introducing BigQuery ML for building predictive models with SQL

Google’s beta extension performs linear regression forecasting and binary logistic classification in the BigQuery data warehouse

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Big data: enabling new approaches to IT infrastructure security

Big data technologies and advanced analytics, including AI, are promising a way to get ahead of cyber threats

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3 big data platforms look beyond Hadoop

Learn how the Cloudera, Hortonworks, and MapR data platforms are evolving to meet the demands for real-time analytics and machine learning

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