CIO

APRIL 12, 2023

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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Artificial Inteligence Artificial Intelligence Machine Learning Agile 363

Trigent

AUGUST 26, 2022

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.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

CTOvision

JUNE 15, 2015

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.

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TIBCO - Connected Intelligence

APRIL 15, 2021

Data-driven insight is a competitive advantage. Today, nearly every business transformation—be it greater customer intimacy, more optimized operations, or faster innovation—is fueled by data-driven insight. For highest ROI, link your data and analytics investments to your business transformation strategy.

Analytics 41

Analytics Development Team Review Technical Review Data 41

Altexsoft

OCTOBER 26, 2022

A Chief Digital Officer or CDO is a C-level specialist who drives digital transformation by building an innovative ecosystem in the company to ultimately transform a traditional analog business into a digital one. CMOs are often the catalysts for the digitization that drive the innovation agenda.

CTO 52

CTO Organization Technical Review Culture 52

Cloudera

DECEMBER 18, 2017

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?

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