Mon.Nov 21, 2022

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Data Lineage- Why Are Businesses Eager to Invest?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Currently, most businesses and big-scale companies are generating and storing a large amount of data in their data storage. Many companies are there which are completely data-driven. Businesses and companies are using data to get some insights about the progress and future […].

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Episode 4: Data is the New Currency

CIO Business Intelligence

Data is the new currency of business. We hear that constantly and it is an accurate description of the value that data provides for the successful operation of a business. Put simply, organizations with “better” data management and use it more effectively, win in the market. This blog summarizes a recent podcast that featured Graeme Thompson, CIO of Informatica.

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Stacking Algorithms in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Stacking is one of the most used and best-performing ensemble techniques used in the field of machine learning. It is very similar to the voting ensembles but also assigns the weights to the machine learning algorithms, where two layers of models are […]. The post Stacking Algorithms in Machine Learning appeared first on Analytics Vidhya.

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Top Posts November 14-20: Git for Data Science Cheatsheet

KDnuggets

Git for Data Science Cheatsheet • 6 Best Free Online Courses to Learn Python and Boost Your Career • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • How LinkedIn Uses Machine Learning To Rank Your Feed • 7 SQL Concepts You Should Know For Data Science.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Gartner Data & Analytics Sydney 2022

Timo Elliott

Last week I was in beautiful Sydney, Australia for the Gartner Data and Analytics Conference. Here’s a quick video summary: One of the big things that struck me was the changing role of data. For the last 30 years, whenever you want to do analytics, the first step is to rip it out of the operational applications and try and move it to a different environment—so data warehousing, data lakes, data lakehouses and now data clouds.

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How to Use Graph Theory to Scout Soccer

KDnuggets

Take Soccer Analytics to the Next Level with Graph Theory: Here’s What to Know and How to Do It.

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SHAP: Explain Any Machine Learning Model in Python

KDnuggets

A Comprehensive Guide to SHAP and Shapley Values.

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4 Strategies for Success: Deepening Relationships and Building Trust between Data Science and Business Teams

Teradata

The gap between data scientists & business users when it comes to understanding each other’s language and value is real. Find out how your org can overcome it.

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Picking Examples to Understand Machine Learning Model

KDnuggets

Understanding ML by combining explainability and sample picking.

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Three strategies to help manage risk arising from Broadcom’s VMware acquisition

Nutanix

Nutanix is talking with customers every day about how to manage risks that may arise from the Broadcom acquisition.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Human and AI Partnerships Are Integral to the Future of Customer Experience

CIO Business Intelligence

The age-old debate on technology versus human capability remains inconclusive. But in this time of artificial intelligence (AI), analytics, and cloud, we’re seeing more opportunities to think of how humans and machines can come together as a team, rather than acting against each other. From diagnosing diseases and delivering effortless customer experiences to understanding human preferences and providing new customer insights, the human and AI partnership is evolving — and more in sync than ever

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Why Farm-Fresh Data Makes for Healthier Spreadsheets

Jet Global

Is your spreadsheet eating healthy, or growing out of shape on a junk food diet? This might seem like a weird question, but much like the average person, spreadsheet performance will drop if all it consumes is unhealthy data. Untended manual processes are clogging your reporting arteries with the risk of human error and time-consuming workflows. This means far slower data extraction times and heart problems from inaccurate, outdated information slipping into your reporting.

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The Movement to Modernized Content Management Software

CIO Business Intelligence

By Milan Shetti, CEO Rocket Software If you ask business leaders to name their company’s most valuable asset, most will say data. But while businesses recognize the value of data, few have the processes and tools in place to access its full potential. In our most recent Rocket survey, 46% of IT professionals indicate that at least half of their content is “dark data”— meaning it’s processed but never used.