Sat.Oct 17, 2020 - Fri.Oct 23, 2020

Win By Keeping Data Science Simple


Getting too fancy by using complex and layered data science approaches can magnify the issues in data instead of controlling them.

Data and Artificial Intelligence in Banking


Written by Volodymyr Sofinskyi, co-founder of, a startup based in Sigma Software Labs.Volodymyr is a proficient Data Scientist and Machine Learning Consultant focused on bringing AI technology to the banking industry. Adoption of Artificial Intelligence in the Banking Industry.


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The KPIs every manufacturer should know and measure


When it comes to achieving success in manufacturing, the industry is way beyond the idea that data matters. Manufacturers and the decision-makers that run them understand the value of data and are turning to BI strategies and manufacturing KPIs in times of uncertainty.

WDSI’s Data Science Subsidies for Universities Worth $300 Mn


As per IBM, the demand for data scientists is going to increase by 28% in 2020 compared to last year.

The Unexpected Cost of Data Copies

This paper will discuss why organizations frequently end up with multiple data copies and how a secure "no-copy" data strategy enabled by the Dremio data lake service can help reduce complexity, boost efficiency, and dramatically reduce costs.

10 Questions Every Data Science Beginner Asks (with Answers and Resources)

Analytics Vidhya

Overview Data science beginners tend to ask some common questions about their career and learning path Here are 10 such questions with comprehensive answers. The post 10 Questions Every Data Science Beginner Asks (with Answers and Resources) appeared first on Analytics Vidhya.

Forrester Report: Choosing the right CX solution for your business - Partnered content with Zendesk


Evaluating new customer service technologies can be overwhelming. With new platforms, deployment methods, and rising customer expectations, the customer service tech ecosystem has grown more and more complex.

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You Need to Optimize Food Safety With the IoT and Big Data


Most everyday consumers probably don't think much about food safety unless things go wrong. They assume food producers take all the necessary precautions, often consuming a massive assortment of foods for years without ever becoming sick.

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SQL vs NoSQL Databases – A Key Concept Every Data Engineer Should Know

Analytics Vidhya

Overview Understand what SQL and NoSQL databases are. Go through the prominent difference between SQL and No SQL Databases. This is not an exhaustive. The post SQL vs NoSQL Databases – A Key Concept Every Data Engineer Should Know appeared first on Analytics Vidhya.

18 Examples Of Big Data Analytics In Healthcare That Can Save People

Data Pine

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare.

How to find sales revenue in your data


When leading a sales team, all roads must lead to revenue-generating opportunities. And with data considered the most important business asset, you need to consolidate and aggregate your data so you can analyze it accurately.

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4 Approaches to Data Analytics

As the analytics landscape continues to evolve, application teams who need to embed dashboards, reports, and other analytics capabilities in their applications can choose from dozens of solutions. How do you differentiate one solution from the next?

Why is Automated Machine Learning Important?


A radical shift in the way enterprises of all scales address machine learning and data engineering is defined by Automated Machine Learning (AutoML). It is time-consuming, resource-intensive, and difficult to apply conventional machine learning approaches to real-world business concerns.

Time Series Forecasting using Facebook Prophet library in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Any data associated with the time that is dependent on time-related. The post Time Series Forecasting using Facebook Prophet library in Python appeared first on Analytics Vidhya.

Is Climbing the Corporate Ladder Still a Thing?


Thoughts on erwin Insights Day No. 2 Keynote. If you didn’t watch New York Times Best-Selling Author Keith Ferrazzi’s keynote from erwin Insights 2020 , what are you waiting for?

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Ad hoc financial analysis and reporting for everyone


In many companies, the IT department creates a library of pre-built templates for generating static financial reports from the ERP. These reports reflect data in a standardized format and layout. Yet often a decision-maker requires more information or wants to drill down on specific data.

11 Email Deliverability Strategies to Reach the Inbox

With nearly 1 in 5 emails from U.S. senders failing to reach the inbox, deliverability challenges still plague senders and prevent email campaign success. Check out this deliverability guide for actionable strategies and real-world examples of companies applying smart inboxing tactics.

Facebook, Twitter CEOs to testify post-election: U.S. Senate panel


By Richard Cowan and Nandita Bose. WASHINGTON (Reuters) - The U.S. Senate Judiciary Committee said on Friday the chief executives of Twitter Inc and Facebook Inc will testify before the panel on Nov.


8 Things you Absolutely Should Know Before Starting your Data Science Career

Analytics Vidhya

Overview Making a successful transition into data science is a tricky prospect Here are 8 things you must know about building your data science. The post 8 Things you Absolutely Should Know Before Starting your Data Science Career appeared first on Analytics Vidhya.

4 Data Analytics Tools That Will Revolutionize Marketing In 2021

Smart Data Collective

Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them.

Increasing sales in your wholesale distribution business


Wholesale distribution companies make money when other businesses purchase their goods. Yet, in today’s challenging marketplace, this can be easier said than done.

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Use It, Save It, Or Lose It: Spring Cleaning for Information Governance

Speaker: Speakers Michelle Kirk of Georgia Pacific, Darla White of Sanofi, & Scott McVeigh of Onna

As an organization’s most valuable asset, data should be cared for and integrated, managed, archived, and deleted as appropriate. Join Onna, Georgia Pacific, and Sanofi for this on-demand webinar as they discuss proactive, practical steps for kicking off your organization's own digital cleanup.

Italy vetoes 5G deal between Fastweb and China's Huawei: sources


By Giuseppe Fonte and Elvira Pollina.

The Mathematics Behind Support Vector Machine Algorithm (SVM)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction One of the classifiers that we come across while learning about. The post The Mathematics Behind Support Vector Machine Algorithm (SVM) appeared first on Analytics Vidhya. Advanced Machine Learning Maths blogathon SVM

New Multithreading Model for Apache Impala


Introduction. Today we are introducing a new series of blog posts that will take a look at recent enhancements to Apache Impala.

5 Vital And Helpful Data-Driven Tips To Bolster Cybersecurity

Smart Data Collective

Big data is changing the future of cybersecurity in unanticipated ways. One poll found that 84% of companies felt that big data was critical for preventing cybersecurity attacks. Every organization needs to take all possible precautions to stop cyberattacks.

5 Tips to Advance Your Career as a Technical Recruiter

This step-by-step guide is designed to provide technical recruiters with tips and tricks to achieve tangible results that accelerate their recruiting efforts—and career.

Founder-led firms outpacing CEO-led ones in market recovery


By Patturaja Murugaboopathy and Gaurav Dogra. Reuters) - Technology companies led by their founders have been the standout winners in share price performance and profit growth this year, beating companies led by other managers, according to a Reuters analysis.

What are the differences between Data Lake and Data Warehouse?

Analytics Vidhya

Overview Understand the meaning of data lake and data warehouse We will see what are the key differences between Data Warehouse and Data Lake. The post What are the differences between Data Lake and Data Warehouse? appeared first on Analytics Vidhya.

Doing Power BI the Right Way: 7. Validating data model results – Part 2

Paul Turley

Moving important business data into a data model for analytic reporting can often be a two-edge sword. Data retrieval is fast and can support all kinds of analytic trending and comparisons.

5 Essential Cybersecurity Tips For Data Centric Businesses In 2021

Smart Data Collective

Businesses in 2021 need to take a more data-driven approach than ever before. This entails utilizing big data for marketing, optimizing finances and addressing countless other purposes. However, big data has also created some concerns for many businesses. Their internal data could be exposed.

How to Foster Data Culture (with Data Intelligence Technology!)

Speaker: Aaron Kalb, Co-Founder and CDAO at Alation

Watch Aaron Kalb, co-founder and CDAO at Alation, dive into the role of technology in shaping culture and show how a modern data catalog is helping innovative enterprises create thriving data cultures. Register for the webinar today!

U.S. sanctions Russian institute linked to dangerous malware


By Raphael Satter. WASHINGTON (Reuters) - Washington imposed sanctions on Friday on a Russian research institute tied to the development of a dangerous computer program capable of causing catastrophic industrial damage, a move that Russia called illegitimate. The U.S.

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Perform Regression Analysis with PyTorch Seamlessly!

Analytics Vidhya

image courtesy Introduction This is probably the 1000th article that is going to talk about implementing regression analysis using PyTorch. so how is it. The post Perform Regression Analysis with PyTorch Seamlessly! appeared first on Analytics Vidhya.

Building a More Diverse and Inclusive Cloudera: Our First Steps


Cloudera recently appointed its first-ever Chief Diversity Officer, Sarah Shin. To maintain transparency about our diversity and inclusion (D&I) progress, we’ve asked her to share her vision for Cloudera’s future, and the initial steps she’s taking to help us get there.

Data Analytics Is Critical For Preventing Investing Mistakes

Smart Data Collective

Data analytics is the backbone of modern investing. Stock, bond, crypto and other investors have discovered the powerful advantages of data-driven analysis. We have talked about the benefits of big data in investing before. We felt it was time to delve into the topic in more depth.

Realizing the Benefits of Automated Machine Learning

How are organizations using machine learning and artificial intelligence (AI) to derive business value? Renowned author and professor Tom Davenport explains the rise of automated machine learning, its benefits, and success stories from businesses that are already using it.