Recap of The Next Big Things session at Oracle Openworld 2018. Five exciting demos including: content experience, digital assistants, blockchain applications, data science development platform, and visual development.
The Internet of Things (IoT) represents a big wave of technological change, and organizations in virtually every industry will benefit from this technology. Some 4.9 billion connected objects will be in use this year, up 30 percent from just last year, predicts research firm Gartner. By 2020, it adds, that number will increase to some 25 billion connected objects worldwide. Businesses in many industries are evaluating the use of IoT technology for remote monitoring and to...
It’s time for data science to shine. But unfortunately, for many businesses data science advances are still in the future. Despite making big investments in data science teams, many are still not seeing the value they expected. Why?
Today we’ll be discussing machine learning, data lakes, and how they can help you exploit data about your business, your customers, your partners, and anything else you need to get that competitive edge. Essentially, we’re here today to say—what’s the extra information you need to get ahead?
At your company, you can create the most elegant machine learning model anyone has ever seen. It just won’t matter if you never deploy and operationalize it. That's no easy feat, which is why we're presenting you with seven machine learning best practices.
There are many different ways to build a recommendation engine and most will combine multiple techniques or approaches. In this article, I want to cover just one approach, association rules, which are fairly easy to understand and require minimal skills in mathematics. If you can work with simple percentages, there’s nothing more complex than that here.