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Ascend.io lands $31M to automate data pipeline orchestration

TechCrunch

Ascend.io , a company developing data automation products for enterprise customers, has raised $31 million in a Series B round led by Tiger Global with participation from Shasta Ventures and existing investor Accel, it announced today. Rather, it was the ability to scale the productivity of the people who work with data.

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Announcing the 2021 Data Impact Awards

Cloudera

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

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Unlocking the Power of AI and Automation in Life Science: An Enterprise Modernization Journey

Apps Associates

When RPA is combined with the power of Artificial Intelligence (AI), which can process vast quantities of data in the blink of an eye, Life Science companies are able to further push the boundaries of what’s possible. Automation has the ability to reduce costs, boost productivity, and enhance quality control for Life Science organizations.

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Cindy Howson: Best Practices for AI and the Joy of Hosting a Podcast

DataRobot

When I offered recent podcast guest Cindi Howson the opinion that data science has become much simpler, she had a ready response: “Are you telling me it’s not hard anymore?”. But Howson knows her data science. There were no data groups to connect with, no best practices. I had to laugh. But of course, she could.

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What is a chief data officer? A leader who creates business value from data

CIO

The chief data officer (CDO) is a senior executive responsible for the utilization and governance of data across the organization. While the chief data officer title is often shortened to CDO, the role should not be confused with that of the chief digital officer , which is also frequently referred to as CDO.

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How to Conduct User Acceptance Testing: Process Stages, Deliverables, and End-User Testing Place in Quality Assurance

Altexsoft

Regardless of the methodology you use, analyzing requirement documents will be the first step, as it gives you input information before proceeding to the actual end-user recruitment. The area of your interest are business and functional requirements. These accumulate documented output data when the test is completed.

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7 famous analytics and AI disasters

CIO

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. Data limitations in Microsoft Excel.

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