Thu.Oct 15, 2020

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12 Powerful Tips to Ace Data Science and Machine Learning Hackathons

Analytics Vidhya

Overview Data science hackathons can be a tough nut to crack, especially for beginners Here are 12 powerful tips to crack your next data. The post 12 Powerful Tips to Ace Data Science and Machine Learning Hackathons appeared first on Analytics Vidhya.

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Enabling productivity and scale through improved enterprise knowledge management

CIO Business Intelligence

This article was co-written with Leila Dige. As the amount of knowledge generated within organizations continues to rise, firms must implement systems that make it easy for employees to find the information they need when they need it. Doing so not only stands to improve employee experience and boost productivity, but also can enable a level of agility and innovation that can become a competitive differentiator.

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Harnessing Streaming Data: Insights at the Speed of Life

Sisense

Blog. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Streaming data analytics is expected to grow into a $38.6 billion market by 2025.

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Live Patching Is Invaluable To Data Development In Linux

Smart Data Collective

There are a number of different platforms for developing applications that rely on big data. Linux is unquestionably one of the most important. Computer Weekly has stated that Linux is the “powerhouse of big data.” However, developing big data applications rely on the most up-to-date tools. Live patching is one of the most important technologies for developers working on data analytics projects on Linux.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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AI Platforms in 2020 and Beyond: What to Look For

Dataiku

What is an AI platform? And when looking to invest in an AI platform in today’s economic climate, what are the must-have features?

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Our Top 20 Most-Read Data & Analytics Research Last Week (to Oct 11)

Andrew White

Click here for an interactive PDF to connect to the notes directly. Roy Schulte scores his first “number 1” hit last with with a brand new note: 2 Steps to Improve Business Decisions Using Data and Analytics. This note was our most-read note across all of Data and Analytics excluding any branded research such as Magic Quadrants etc. Strategic, tactical and operational business decisions all call for different decision-making processes and analytics techniques.

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The New Normal for FP&A: Forecasting

Jedox

For many organizations, the onset of the global health crisis has been like a bank of fog rapidly and unexpectedly engulfing a ship at sea. Suddenly your tried and true navigational skills and processes and the way you have always assessed risks and opportunities has been taken away from you. You must rely on new ways to pilot the ship to a safe port.

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How Employee Training In Enterprises Can Benefit From Data

Smart Data Collective

Enterprises now acknowledge the value of having a highly capable workforce. The ever-changing business landscape demands workers to continually upskill and reskill, giving rise to employee training utilization. Most organizations are now reinforcing their human resources and training and development departments to help them address the need. Large US companies on the average spent $17.7 million on such efforts in 2019.

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Why the Single Source of Truth Paradigm in Data Warehousing is Outdated

Teradata

The old paradigm of the data warehouse serving as the single source of truth in today's ever evolving data landscape can no longer be sustained. Find out why.