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 When it comes to pets, there’s almost nothing an owner wouldn’t do. Many people have a certain soft spot for cats and dogs, and it’s no surprise that organizations and individuals alike are looking to utilize big data to make pets’ lives better. Data’s greatest use may be in adoption
The post From Shelter to Forever Home, Big Data Helps Pets appeared first on Dataconomy.
 As can likely be expected, big data analytics is in the midst of an evolution. It’s a typical sight for nearly any new technology as experts and organizations get more used to all of its capabilities. Big data is certainly no exception to these changes, especially as businesses understand its
The post What Real Time Streaming Means for Big Data appeared first on Dataconomy.
 Big data is becoming increasingly useful in the technology-driven market of the 21st Century. Using methods to collect huge sets of statistics about customers allows businesses to enhance their services greatly. The online casino sector is an area of the internet in which competition is fierce. Big players in the
The post Big Data Bets on the Online Casino Industry appeared first on Dataconomy.
 FinTech is easy to get wrapped up in. It’s an exciting field that’s taking power away from traditional, bloated banks and giving the industry a much needed facelift. It’s helping the underbanked (as any FinTech enthusiast will tell you a hundred times), and many popular FinTech technologies are becoming integrated
The post A Beginner’s Guide to FinTech Terminology appeared first on Dataconomy.
 Dr. Veera Anantha is an experienced hands-on tech entrepreneur. He has held executive positions at tech startups and Fortune 100 companies with 2 successful startup exits (Apple and Motorola). Veera has founded and launched several award winning enterprise software and consumer oriented tech products in the past decade. Veera has
The post “Precision medicine is going to play a key role in the future of healthcare…” – Interview with Constant Therapy’s Veera Anantha appeared first on Dataconomy.
 Where do I get started with data-driven engineering? How can the 3 I’s of data-driven engineering help me get off to a running start? How can I avoid the common pitfalls of data-driven engineering? What are the 3 I’s? The 3 I’s of data-driven engineering are insights, indicators and investments.
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