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Our Latest Thinking on Big Data and Analytics

With the introduction of artificial intelligence to the digital customer experience and to core organizational processes, big data has reached a tipping point. Explore BCG’s latest thought leadership on data and analytics to understand the benefits and risks of leveraging data at scale.


Featured Insights

Big Data & Advanced Analytics in Brazil

Big date and education: Advanced analytics as a tool for public transformation

Big data and education: Advanced analytics as a tool for public transformation

Education in Brazil has increasingly been seen as a public sector area that presents fertile fields for advanced analytics application. That is why BCG GAMMA and the Lemann Foundation have teamed up to launch the first edition of BCG GAMMA Challenge, a datathon that encourages students and young professionals to use data science to generate high-impact recommendations and solve real problems.

Drones Go to Work

From today’s tiny data gatherers to tomorrow’s industrial workhorses, drones will enable new ways to generate value. Here’s a look at how the market could evolve.

Looking into the Future of Artificial Intelligence

IDSIA’s Jürgen Schmidhuber, a leading pioneer in the field of AI, discusses his efforts to develop general-purpose problem solvers and explains why we should not fear artificial superintelligence.

The Power and Limits of AI

David Kenny, the head of IBM’s Watson, discusses smart ways for companies to use artificial intelligence.

Artificial Intelligence

AI has made its way to the business world. What happens next?

Ideas That Inspire Action

To stay ahead of the curve, leaders need new insights and fresh perspectives—the more surprising and unexpected, the better.

Power of Algorithmic Forecasting

The Power of Algorithmic Forecasting

Armed with foresight into how conditions will change, a company can take actions to preempt unfavorable outcomes and promote competitive advantage.

Big Oil, Big Data, Big Value

To get the most from digital, energy companies need a central platform that includes a data warehouse, a data lake, or both.

Growing on Data

Agricultural-input suppliers need to act fast because the rapidly increasing use of digital information will quickly sort the winners from the losers.

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