Global Data Science Competition Gathered Brilliant Minds to Solve Social Problems
For over two months, 50 teams representing 34 nationalities competed for a spot in the top ten of the World Data League (WDL) – a quest to find long-lasting solutions for social-oriented problems using data.
Featured Stories
Multi-Billion Dollar Businesses Benefit From Web Scraping. Can Yours?
In this contributed article, Andrius Palionis,VP of Enterprise Solutions at Oxylabs, discusses how businesses of all sizes can benefit from web scraping. Billion-dollar businesses got to where they are today by leading the industry in technological innovation. That’s because data continues to increase in importance and literally “fuels” the digital age. Smaller companies now have the opportunity to leverage the same technology that provides the critical data needed to thrive on today’s competitive business landscape.
Geospatial Tech: A Silver Lining in the Pandemic
In this contributed article, Ajay K. Gupta, CISSP, MBA, CEO at HSR.health, discusses how geospatial data is now at the core of how most states in the US are responding to the COVID-19 pandemic. There is no doubt that GIS is demonstrating its incredible power during COVID. Integrating geospatial data with relevant statistics can help understand and evaluate the transmission and spread of a viral contagion.
4 Digital Experience Strategies You Need to Consider
In this special guest feature, Garrett Schwegler, Program Manager for Digital Commerce at Lucidworks, offers four strategies you should consider to help you focus and improve the digital experience for your users. More is better—more data, more insights, more happy customers and employees. More can also feel like ‘too much’ if you don’t know where to start.
Featured Resource
Garbage in, Garbage Out – How We Got Here and Why We Must Get Out Now
This whitepaper from our friends over at Profisee, reflects on why the state of data in most organizations is as dismal as it is, and why there is such a challenge involved in demonstrating the value of trusted data available across mission-critical operations and analytics in an enterprise.
Industry Perspectives
Want AI to Power your CRM? Then it’s Time to Clean Up your Data
In this special guest feature, Jody Glidden, CEO and Co-Founder of Introhive, discusses the impact of dirty CRM data. Cleaning the data can increase employee productivity and provide the relationship intelligence that will bring companies one step closer to properly implementing AI within their CRM.
The Need for Brands to Invest in Data Analytics
In this special guest feature, Thalya Hamilton, VP of Analytics & Data Science, Quotient, discusses how brands will need to strike the right balance by bringing data and analytics in-house—staffing the right talent and empowering them to lead the way forward—while also finding third-party experts to partner with to strengthen their understanding of that data. This dual approach is key if brands want to succeed in a digital-first world.
Featured from insideHPC
- NREL Scientists Find Synergy in PET Plastic-degrading Enzymes Using TACC, SDSC HPC ResourcesPlastic waste is a big problem in the environment. About 300 million tons is produced every year, according to the United Nations. Much of that is polyethylene terephthalate (PET), used to make single-use plastic bottles, carpets, and clamshell packaging. In the U.S., the Environmental Protection Agency estimates annually that only about 29 percent of PET bottles are recycled. About […]
News from insideHPC
- Enhancing Security with High Performance AI Capability Deployed at the Rugged Edge
- NREL Scientists Find Synergy in PET Plastic-degrading Enzymes Using TACC, SDSC HPC Resources
- Drop in Intel Earnings Expected Today
- Cambridge Quantum: Algorithm Solves Combinatorial Optimisation Problems Faster
- Registration Open for LLNL-sponsored Industrial ML Forum
- The Whole World Is Watching: ORNL’s Bernholdt & Programming Environment Team Prepare for Frontier and Exascale
- DOE Funds $13M for Adapting Scientific Software to Run on Exascale Supercomputers
Editor’s Choice
The insideBIGDATA IMPACT 50 List for Q3 2021
The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting [READ MORE…]
Big Data Industry Predictions for 2021
2020 has been year for the ages, with so many domestic and global challenges. But the big data industry has significant inertia moving into 2021. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming.
What is the Difference Between Business Intelligence, Data Warehousing and Data Analytics
In this contributed article, Christopher Rafter, President and COO at Inzata,, writes that in the age of Big Data, you’ll hear a lot of terms tossed around. Three of the most commonly used are “business intelligence,” “data warehousing” and “data analytics.” You may wonder, however, what distinguishes these three concepts from each other so let’s take a look.
The Difference Between Data Science and Data Analytics
In this contributed article, tech writer Rick Delgado, examines the differences between the terms: data science and data analytics, where people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. Although they may sound similar, the terms are often quite different and have differing implications for business.
