How to Succeed Using Data Science and Machine Learning

With growing attention devoted to AI, machine learning, and IoT, what we've come to know as big data has become an even broader version of itself. In recent years, big data was seen as an unstoppable force of nature that would either overwhelm enterprises or propel them to new heights. This next generation of big data -- we'll call it expansive data, pulsing through systems in real-time, powering processes unseen to human eyes, and adapting and learning as it goes along -- is going to reshape enterprises in ways not even anticipated. This requires attention to new types of tools, platforms, and approaches to deliver value to today's data-hungry businesses. Expansive data will represent ever-growing volumes of information, potentially increasing within enterprises at a rate of up to 36% a year, according to Dresner Advisory Services.