Artificial intelligence (AI) capabilities are on the precipice of revolutionizing the way we work, reshaping businesses, industries, economies, the labor force, and our everyday lives. We estimate AI-powered applications will add $13 trillion in value to the global economy in the coming decade, and leaders are energizing their agendas and investing handsomely in AI to capitalize on the opportunity--to the tune of $26 billion to $39 billion in 2016 alone. Meanwhile, AI enablers such as data generation, storage capacity, computer processing power, and modeling techniques are all on exponential upswings and becoming increasingly affordable and accessible via the cloud. Conditions seem ripe for companies to succeed with AI. Yet, the reality is that many organizations' efforts are falling short, with a majority of companies only piloting AI or using it in a single business process--and thus gaining only incremental benefits.

Organizations have been sitting on mountains of valuable data with no efficient way to unlock its potential. A powerful type of machine learning, called deep learning, can now unleash the power of data to drive competitive advantage. For more information on how deep learning turns data into results, please visit McKinsey Analytics on McKinsey.com.

These and many other insights are from the McKinsey Global Institute's study The Age of Analytics: Competing In A Data-Driven World published in collaboration with McKinsey Analytics this month. You can get a copy of the Executive Summary here (28 pp., free, no opt-in, PDF) and the full report (136 pp., free, no opt-in, PDF) here. Five years ago the McKinsey Global Institute (MGI) released Big Data: The Next Frontier For Innovation, Competition, and Productivity (156 pp., free no opt-in, PDF), and in the years since McKinsey sees data science adoption and value accelerate, specifically in the areas of machine learning and deep learning. The study underscores how critical integration is for gaining greater value from data and analytics. Posted in Featured Posts, Technology / Software Tagged analytics, enosix, enosix integration, enosiX Salesforce integration, enosix SAP integration, Louis Columbus' blog, machine learning, McKinsey 2016 Study, McKinsey Analytics, McKinsey Global Institute', McKinsey's 2016 Analytics Study

These and many other insights are from the McKinsey Global Institute's study The Age of Analytics: Competing In A Data-Driven World published in collaboration with McKinsey Analytics this month. You can get a copy of the Executive Summary here (28 pp., free, no opt-in, PDF) and the full report (136 pp., free, no opt-in, PDF) here. Five years ago the McKinsey Global Institute (MGI) released Big Data: The Next Frontier For Innovation, Competition, and Productivity (156 pp., free no opt-in, PDF), and in the years since McKinsey sees data science adoption and value accelerate, specifically in the areas of machine learning and deep learning. The study underscores how critical integration is for gaining greater value from data and analytics. Posted in Featured Posts, Technology / Software Tagged analytics, enosix, enosix integration, enosiX Salesforce integration, enosix SAP integration, Louis Columbus' blog, machine learning, McKinsey 2016 Study, McKinsey Analytics, McKinsey Global Institute', McKinsey's 2016 Analytics Study Leave a response