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.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

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.

Are Your Embedded Analytics DevOps-Friendly?

Does your analytics solution work with your current tech stack and DevOps practices? If not, any update to the analytics could increase deployment complexity and become difficult to maintain. Learn the 5 elements of a DevOps-friendly embedded analytics solution.

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


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.

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.

More Trending

4 elements of an efficient business intelligence tool


There are so many business intelligence tools on the market, all promising a competitive edge for your business. A good start is ensuring the software is compatible with your ERP and the tool has built-in content relevant for your industry.

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.

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.

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.

Digital Trends Report 2020

As part of our goal to continue helping our community during these times, we wanted to share with you this critical data on the state of digital products across industries and provide context on how businesses are responding to the changing winds.

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.

Sales 163

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.

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.

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?

IT 93

5 Things a Data Scientist Can Do to Stay Current

DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises.

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.

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.


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.

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.

Testing at Every Stage of Development

Up to 80% of new products fail. The reality is harsh and the reasons why are endless. Perhaps the new product couldn’t oust a customer favorite. Maybe it looked great but was too hard to use. Or, despite being a superior product, the go-to-market strategy failed. There’s always a risk when building a new product, but you can hedge your bets by understanding exactly what your customers' expectations truly are at every step of the development process.

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.

Sales 149

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.

IT 214

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

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.

How Embedding AI-Powered Analytics Can Give You a Competitive Advantage

Embedding dashboards and reports aren’t enough. Futureproof your application by offering instant, actionable insights that will give you and your customers a competitive advantage.

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.

U.S. investigators may file antitrust charges against Facebook as soon as November: Washington Post


(Reuters) - Federal and state investigators in the United States are expected to file antitrust charges against social media company Facebook Inc as soon as November, the Washington Post reported on Friday, citing four people familiar with the matter.

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.

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.

Building Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. To get there, Amazon focused on decomposing for agility, making critical cultural and operational changes, and creating tools for software delivery. The result was enabling developers to rapidly release and iterate software while maintaining industry-leading standards on security, reliability, and performance. Whether you're developing for a small startup or a large corporation, learning the tools for CI/CD will make your good DevOps team great. We are excited to be joined by Leo Zhadanovsky, a Principal Solutions Architect at Amazon Web Services.

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.

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.

Savvy Companies Find Brilliant Ways To Benefit From Inbound Call Data

Smart Data Collective

Countless companies recognize the growing importance of big data. However, many of them lack the insights needed to acquire and utilize data effectively. There are so many possible sources of data, but they don’t tap them to their full advantage.

Rethinking Information Governance In The Age of Unstructured Enterprise Data

Today’s organizations are faced with the overwhelming challenge of managing, finding, and leveraging their information. This eBook discusses a newly discovered information discipline and is filled to the brim with helpful information.