Digital business is shifting from a future strategic vision by IT leaders and digital leaders to providing a true competitive edge. New digital technologies are transforming the way your enterprise business operates, as you begin the balance of delivering better service to your customer, improving efficiency, and cutting costs.
Outsourcing your APIs means working with a team of experts who can help plan for scalability issues and who may be able to offer alternate solutions. Have you often wondered when companies look to partners like Innominds for API management?
Strata + Hadoop. And Innominds
Leaders of the Big Data and analytics industry gathered last month in New York for the Strata + Hadoop World conference. Over 7,000 people attended the event where keynote speakers, including White House chief data scientist DJ Patil, laid out their visions for where machine learning, analytics, the Internet of Things, autonomous vehicles and smart cities will be taking us in the near future.
Top 10 (+1) FAQS on User Experience Engineering for Pixel Perfect Results
An interactive website or mobile application that meets your customer needs but does not offer a great user experience is not considered a winner anymore. Today, smart companies have realized that improving the user experience on the products/services they offer is the key to client happiness – and repeat business.
Digital Transformation (DX) Is Moving...Moving Toward a DX Economy
Long ago, back around 2007, we all were introduced to the 3rd Platform, with cloud as its core and solutions that offered anytime, anyplace access to application functionality. The platform was built on the technology pillars of mobile computing, cloud services, big data and analytics and social networking.
Rise to Your Big Data Challenges with Innominds’ iFusion
Innominds’ iFusion Analytics solves the data challenges that hinder enterprises today. Our data mining framework iFusion:
Don’t Ignore the Deviances. They Tell You Good Things About Your Model
Many a times, data scientists and analysts input data and then train a model like logistic regression for classification. Most of the practitioners do not seem to spend enough time on this part of the output and instead focus only on the top level diagnostics consisting of coefficient summary, RMSE or classification matrix and may be the overall measure such as an R2 in the case of a linear
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