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Building a vision for real-time artificial intelligence

CIO

Machine learning models (algorithms that comb through data to recognize patterns or make decisions) rely on the quality and reliability of data created and maintained by application developers, data engineers, SREs, and data stewards. This doesn’t necessarily require ripping and replacing existing systems.

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DataOps – A Catalyst for Enterprise Business Transformation

RapidValue

DataOps aids data practitioners to continuously deliver quality data to applications and business processes. The end-users of data, like the data analysts and data scientists, work closely with both data engineers and IT Ops in order to deliver continuous data movement.

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CIOs are stretched more than ever before — and that’s a good thing

CIO

“A good CIO is used to bringing parties together to connect and collaborate, while their technical know-how means they understand what data and technology is needed to meet the businesstransformation objectives.” We’ve got amazing data scientists at the club,” he says. “I

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Enhance Your Business’s Global Digital Picture with Trigent Software: GoodFirms

Trigent

Expert assistance and agile technology solutions make your work easier. The sole concept followed by the company professionals is the enterprise-wide digital transformation, modernization, and optimization of the IT environment of their client businesses. Transform your business with Trigent Software.

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Viva Las Vegas: Ten Sure Technology Bets for 2020?Part 4

TIBCO - Connected Intelligence

To win the data game, it helps to deal yourself four aces. In my last blog , I shared your first two aces, adaptive data architecture and agile methods. Your Third Ace: Advanced Data Management Technology. Data management processes that embrace business domain expertise and thereby improve data quality and relevance.

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Plotting the data-driven journey

Cloudera

We’ve learned from these innovators that business transformation with data happens in three predictable phases, represented by the graphic below. The data-driven journey often begins with simple, tactical use cases – typically around visibility. How do I look across all my silos of data?

Data 40
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The IBM Press Release on Spark That Every Tech Leader Should Read

CTOvision

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.