Mon.May 09, 2022

How Big Data Certifications boost your career in data science

DataFloq

The global big data market size is expected to grow from USD 138.9 billion in 2020 to USD 229.4 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 10.6 percent. The big data industry is driven by continuous innovation.

5 things you need for financial reporting in the data decade (and how to get them)

Phocas

How much time does your finance team spend collecting, sifting, and analyzing data? BI basics finance executive financial statements dynamic reporting data analytics budgeting and forecasting

Insiders

Sign Up for our Newsletter

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

Building a Data Platform: 7 Signs It’s Time to Invest in Data Quality

DataFloq

One of the most frequent questions I get from customers is: when does it make sense to invest in data quality and observability? My answer is, it depends. The reality is that building a data platform is a multi-stage journey and data teams have to juggle dozens of competing priorities.

An Introduction to Long Short-Term Memory (LSTMs)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Dealing with sequential data is considered one of the hardest problems to solve in the Data science industry. Standard neural networks have paved a new path in the rising AI industry.

The Essential Supply Chain Network Design Tooling Checklist

Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities and powerful mathematical optimization. Answer 10 relevant questions to see if advanced network design & scenario modeling technology can help you.

Collection and Collections: What is the Difference?

DataFloq

The difference between Collection and Collections is a crucial interview question for freshers and over time has been used to test the knowledge of the Java Collections Framework. Both are part of the java collection framework, but both serve different purposes.

A Comprehensive Guide to Time Series Analysis and Forecasting

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – bounteous.com Introduction Time Series Analysis and Forecasting is a very pronounced and powerful study in data science, data analytics and Artificial Intelligence.

More Trending

Learning Data Science If You’re Broke

KDnuggets

Check out this list of free resources, courses, and more to help you become a Data Scientist for free. KDnuggets Originals Data Science

Scaling Supply Chain AI to Offer Predictive Shipment Visibility

Dataiku

This blog is a guest post from our friends at Shippeo. They’re a global leader and European specialist in real-time transportation visibility, helping major shippers and logistics service providers leverage transportation to deliver exceptional customer service and achieve operational excellence.

91

Top Posts May 2-8: 9 Free Harvard Courses to Learn Data Science in 2022

KDnuggets

Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; Software Developer vs Software Engineer. KDnuggets News News

Optimizing Hive on Tez Performance

Cloudera

Tuning Hive on Tez queries can never be done in a one-size-fits-all approach. The performance on queries depends on the size of the data, file types, query design, and query patterns. During performance testing, evaluate and validate configuration parameters and any SQL modifications.

Omnichannel is Multichannel 2.0

Multichannel and omnichannel marketing are not the same. Many organizations are striving for omnichannel, but it can be a daunting journey—unless you have a map. Download your copy of the ultimate omnichannel guide today!

An Overview of Mercury: Creating Data Science Portfolio and Notebook Based WebApps

KDnuggets

Turn your dull Jupyter notebooks into interactive web apps by adding a YAML header and sharing it with your friends and colleagues. You can also use Mercury to create your data science portfolio, which consists of a resume and projects. KDnuggets Originals Data Science

Smarten Support Portal Updates – April – 2022!

Smarten

We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials. Knowledgebase Articles. LDAP/AD : AD Integration in Smarten.

Machine Learning Key Terms, Explained

KDnuggets

Read this overview of 12 important machine learning concepts, presented in a no frills, straightforward definition style. KDnuggets Originals Machine Learning

Reskilling IT for digital success in a tight talent market

CIO Business Intelligence

There are few CIOs who haven’t been hit by attrition, as streams of highly talented IT professionals head out the door for bigger salaries, better opportunities, or both.

Common Use Cases for Mathematical Optimization

What is mathematical optimization and what are some of the most common use cases for across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions, and build more resilient supply chains? Find out in this guide.

Using Dashboards to Make a Family Trivia Event Even Better

Depict Data Studio

Emily Ross recently finished her PhD in health services research and is now as a junior evaluation consultant at Ference & Company Consulting. She enrolled in our Dashboard Design course and is sharing how she used her new skills in her personal life. Thanks for sharing, Emily!

CIO Leadership Live with Peter Tay of NTUC Income

CIO Business Intelligence

Peter Tay, Chief Digital Officer of NTUC Income, joins James Henderson for CIO Leadership Live in ASEAN, produced by CIO.com and Foundry.

Four use cases defining the new wave of data management

IBM Big Data Hub

A confluence of events in the data management and AI landscape is bearing down on companies, no matter their size, industry or geographical location. Some of these, such as the continued sprawl of data across multicloud environments have been looming for years, if not decades.

Exploring the Benefits of Supply Chain Collaboration

CIO Business Intelligence

Many enterprises are struggling to deliver for customers because of a disruptive environment, internal silos, mismanaged data, the pandemic, and inefficient collaboration between companies, despite our increasingly digital world.

Put Your Data to Work: The Complete Playbook

Turn your data into a competitive advantage. This playbook contains: Exclusive stats, research & insights on how the pandemic affected businesses. A comprehensive “Request For Proposal” (RFP) checklist and an interactive quiz to test your data knowledge.

Disclosure Management and Equity Management: Why You Need Both

Insight Software

Growing companies rely on equity-based compensation to attract and retain top talent. They must also comply with stringent regulations regarding financial reporting and disclosures.

How DLT Can Help Businesses Meet Their ESG Commitments

CIO Business Intelligence

By Srikumar Ramanathan, Chief Solutions Officer at Mphasis. Nearly two decades since the term ESG was coined in a groundbreaking report called, Who Cares Wins , mindful and planet-affirmative investing has become both smart and mainstream.

Better Business Reporting With Certent Disclosure Management

Insight Software

Reporting is more important than ever. Long gone are the days of filling out excel sheets at year end and filing them away into oblivion, never to be seen again.

Leadership in Times of Digital Disruption

CIO Business Intelligence

By Ravi Vasantraj, Senior Vice President, and Global Head – Business Process Services at Mphasis. In 2000, when the Internet was in its infancy, Netflix approached Blockbuster executives for a US$50 million merger, but was not taken seriously. Blockbuster, then valued at US$4.8

Guide to Mathematical Optimization & Modeling

What is mathematical optimization and how does it compare to other types of analytics? Which tool should you use to develop optimization applications and scale them across the business? What are best practices for successful adoption? Read now.

4 misconceptions about AI in finance organizations

Jedox Finance

There are glittering promises and lofty expectations of artificial intelligence (AI), yet misconceptions abound regarding its potential impact on the office of finance.

CIO Leadership Live with CISO Hilary Walton of Kordia Group

CIO Business Intelligence

Kordia Group CISO Hilary Walton on the importance of security governance, the benefits of career pivots and why more CIOs should pay attention to NFTs. Watch this episode

Lasting Design Requires Solution Design Disciplines

CIO Business Intelligence

In the same way that marathons require rigorous preparation to reach the finish line, technological transformations will not yield lasting rewards without vision, planning, dedicated resources and unwavering determination.

What’s New, What’s Next for Value Stream Management

CIO Business Intelligence

It would surprise absolutely no one if I were to say a lot’s changed in the past year. Value Stream Management (VSM) is certainly no exception. It’s an area that has seen massive evolution in a relatively short time.

The Retailer’s Guide to Marketing Data

Retailers are faced with extraordinary challenges – from changing consumer needs to unpredictable twists & turns in the economy. Learn how innovative retailers use zero-, first-, second-, and third-party data to find their best customers and drive repeat purchases.

Why retail CIOs are trending up in the C-Suite

CIO Business Intelligence

Getting fired from her CIO job nearly 20 years ago wasn’t just a career turning point for Cathy Hotka. “It

People: A Forgotten Element of Technology Transformation

CIO Business Intelligence

Enterprise transformation demands technology to work and people to adopt it. The “people” component of enterprise transformation can make or break digital transformation.

People: A Forgotten Element of Technology Transformation

CIO Business Intelligence

Enterprise transformation demands technology to work and people to adopt it. The “people” component of enterprise transformation can make or break digital transformation.