The convergence of business intelligence and data science/machine learning: stakes, opportunities and realities.

Beyond the hype  surrounding the Big Data trend, it is critical to recall that, we are living in the mobile-data-driven world where: technologies, services, applications, products and content are and will be more and more personalized, tailored , intuitive, intelligent and mimic.

Within this ocean of data, technologies, content, services, products and possibilities: organizations, businesses, and public sectors need relevant technologies, good practices and methodologies, to appropriate sophisticated performance and competitiveness in their daily activities and prospective.  

The convergence of business intelligence and data science/machine learning is an approach which combines the situational-intelligence, data science as an algorithm with the machine learning like the perfect methodology and technology. 

Within this combination of intelligence, methodologies and methodologies; business analysts and data scientists can easily and fluidly interact with Big Data from multiple sources in an easy to consume, interactive format, without aberrant patterns.

Users can also instantly and collaboratively produce embedded analytics within seconds to assist with decision making. Data scientists and data engineers can analyze massive amounts of data in seconds to capture critical signs and actionable insights without aberrant patterns.

Finally our living conditions are improved, our development approaches become more and more sustainable and we live in good health. 

In fact, the opportunities to unlock and to harness are unmatched. According to Connectikpeople.co,  if well combined, this convergence is creating an entirely new set of business and sustainable value, at a scale that has never been seen before, to make Data Intelligence truly available to all.