Boosting the productivity of the next-generation data scientist

JAMES KOBIELUS | June 3, 2016

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Data science has become an axis of the 21st-century economy, and to no one’s surprise: Data scientists are key developers in the era of cognitive computing and open data. Indeed, their core focus is on developing repeatable data application artifacts for example, machine learning and other statistical models for deployment within always-on business environments...

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Mesosphere, Inc.

Most technology systems today are distributed systems, made up of app servers, databases, and caches. Managing distributed systems is tricky, and writing distributed systems is even trickier. Our mission is to make building and running these systems as easy as building or running an app on your smartphone.

OTHER ARTICLES

Value Vs Cost: 3 Core Components to Evaluate a Data and Analytics Solution

Article | July 13, 2021

All business functions whether it is finance, marketing, procurement, or others find using data and analytics to drive success an imperative for today. They want to make informed decisions and be able to predict trends that are based on trusted data and insights from the business, operations, and customers. The criticality of delivering these capabilities was emphasised in a recent report, “The Importance of Unified Data and Analytics, Why and How Preintegrated Data and Analytics Solutions Drive Busines Success,” from Forrester Consulting. For approximately two-thirds of the global data warehouse and analytics strategy decision-makers surveyed in the research, their key data and analytics priorities are:

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3 steps to build a data fabric to integrate all your data tools

Article | May 17, 2021

One approach for better data utilization is the data fabric, a data management approach that arranges data in a single "fabric" that spans multiple systems and endpoints. The goal of the fabric is to link all data so it can easily be accessed. "DataOps and data fabric are two different but related things," said Ed Thompson, CTO at Matillion, which provides a cloud data integration platform. "DataOps is about taking practices which are common in modern software development and applying them to data projects. Data fabric is about the type of data landscape that you create and how the tools that you use work together."

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HEALTHCARE CENTERS ARE TURNING TO AI TO COMBAT COVID-19

Article | April 6, 2020

Artificial Intelligence has emerged as a powerful tool in the time to fight against Covid-19. The technology is used to train computers to leverage big data-enabled models for pattern recognition, interpretation, and prediction using Machine Learning, NLP and Computer Vision. These applications can be effective to diagnose, envision, and treat Covid-19 disease, and they can also assist in managing socio-economic impacts. Since the pandemic spreads quickly, there has been a rush to explore and deploy AI to cure and address the soaring demand of patient treatment infected by Coronavirus.

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Put Publicly Available COVID-19 Data to Work for Your Business—Fast

Article | April 13, 2020

There’s a lot of information out there related to COVID-19. But right now—when it’s more important than ever to quickly access and analyze data —figuring out how to effectively use COVID-19 data to better manage your business can still be a challenge. We can help. Several customers have leveraged their Incorta platforms to instantaneously integrate COVID-19 data into their enterprise data and analytics dashboards.

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Spotlight

Mesosphere, Inc.

Most technology systems today are distributed systems, made up of app servers, databases, and caches. Managing distributed systems is tricky, and writing distributed systems is even trickier. Our mission is to make building and running these systems as easy as building or running an app on your smartphone.

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