Think Smarter about Big Data with Artificial Intelligence
We already live in a connected world where every digital interaction adds to Big Data. Approximately 90 percent of the world’s data was created in the last two years. This trend will only accelerate. With the advent of the internet of things, even inanimate objects from football helmets, refrigeration units, to cars will generate significantly more data millions of times a day. Analysts predict the number of data producing internet-connected devices will double every 2-3 years.
The untapped potential of applying Artificial Intelligence to Big Data is huge.
Analytics of data in motion provides sub-millisecond response times, allowing you to view information and events as they unfold.
Predictive analytics can take you from guesswork to prediction by showing you where you are now, and make recommendations to where you can and should go next. It empowers you to analyze trends, patterns and relationships in the data and apply those insights to predict future events or act to achieve a desired outcome.
Cognitive computing is the simulation of human thought processes in a computerized model. It involves self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works.
Many of the world’s largest information technology companies are making significant investments in analytics, predictive and cognitive computing to take strategic advantage of the big data revolution.
Orb IoT and it’s business partners have deep skills in analytic, predictive and cognitive computing. Several Orb IoT team members have decades of experience working for IBM as IoT and IBM Watson Architects. We can integrate our clients data with a large variety of Artificial Intelligence platforms from a variety of companies.