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Businesses Have Plenty Of Data, So Why Aren’t They Using It?

In this special guest feature, Simone Di Somma, Founder and CEO at Askdata, believes that businesses already collect so much data in the course of their day-to-day operations. But they could start using that data more effectively by bringing it out from behind the curtain, presenting employees across the board with easy access and interaction for it.

The Future of the DBMS Market Is Cloud

This Gartner whitepaper, sponsored by Striim, offers a glimpse for where databases are headed: “The Future of the DBMS Market Is Cloud.” Database management system deployments and innovations are increasingly cloud-first or cloud-only. Data and analytics leaders selecting DBMS solutions must accept that cloud DBMS is the future and must plan for shifting spending, staffing and development accordingly.

The Future of the DBMS Market Is Cloud

This Gartner whitepaper, sponsored by Striim, offers a glimpse for where databases are headed: “The Future of the DBMS Market Is Cloud.” Database management system deployments and innovations are increasingly cloud-first or cloud-only. Data and analytics leaders selecting DBMS solutions must accept that cloud DBMS is the future and must plan for shifting spending, staffing and development accordingly.

insideBIGDATA Latest News – 12/5/2019

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

TOP 10 insideBIGDATA Articles for November 2019

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

How AI is Uncovering Hidden Treasures in Online Conversion & Revenue Growth

In this special guest feature, Michael Scharff, CEO of Evolv, believes that in the rapidly evolving world of e-commerce, today’s ideal customer experience may not be so ideal tomorrow. Fortunately, retailers can now use the power of AI and data-driven insights from online customer behavior to define that optimal experience today as well as in the future.

How Amazon Used Big Data to Rule E-Commerce

In this contributed article, tech blogger Caleb Danziger outlines some reasons Amazon and big data plans often arise in discussions about why companies thrive. Amazon is an e-commerce giant in today’s consumer landscape, and its success didn’t come by accident. The brand frequently taps into big data to make decisions, stimulate purchases and please customers.

How Big Brands Are Using Automated Data Analytics That Bring Results

In this special guest feature, Steve Habazin, Content Management Specialist with Latana, discusses how big brands are choosing and using the right data analytics that will bring results. Data, data, data. Something very valuable to brands. They need it in order to make informed decisions and in the long term, make their brand grow.

Big Data & Higher Education: How Are They Connected?

In this contributed article, freelance human Avery Phillips points out the many ways that higher education is incorporating big data to make the educational experience better for students. Big data is helping to improve responses to learning style, benefit targeted enrollment, and increase retention rates.

Supercomputers and Machine Learning: A Perfect Match

In this contributed article, technology writer Gilad David Maayan suggests that when considering complex or very large data sets, using the largest and most powerful computers in the world sounds ideal. High-performance computing is a perfect match for complex machine learning and big data models. These supercomputers can easily process billions of calculations, improving the capabilities of machine learning technologies.