AI and ML are enabling a new paradigm for deploying truly transformational data projects. By leveraging voluminous real-time information and new algorithms, there is a promise of better and more efficient decision making and processes. Join this session, led by two data titans, DataRobot's CEO, Jeremy Achin and Tamr's CEO, Andy Palmer. Together they will discuss why AI and ML should have a front row seat in your next data project and what are the most critical best practices to establish the right technology, people and processes to drive project and mission success.

Why do so many companies still struggle to build a smooth-running pipeline from data to insights? They invest in heavily hyped machine-learning algorithms to analyze data and make business predictions. Then, inevitably, they realize that algorithms aren't magic; if they're fed junk data, their insights won't be stellar. So they employ data scientists that spend 90% of their time washing and folding in a data-cleaning laundromat, leaving just 10% of their time to do the job for which they were hired. What is flawed about this process is that companies only get excited about machine learning for end-of-the-line algorithms; they should apply machine learning just as liberally in the early cleansing stages instead of relying on people to grapple with gargantuan data sets, according to Andy Palmer, co-founder and chief executive officer of Tamr Inc., which helps organizations use machine learning to unify their data silos.

Britain's manufacturing sector has just posted its strongest growth in over two years. Latest figures show that export orders have increased at their fastest rate since January 2014 and factories have also taken on more workers, with employment rising for the second consecutive month. However, the export benefits of a weakened pound will not last forever, and so, as the manufacturing sector continues to evolve, this year's FT Future of Manufacturing Summit looked at how big data analytics, advanced robotics, the Internet of Things (IoT) and additive manufacturing are shaping the economics of production and distribution within the sector. With the opportunities big data brings referred to as the Fourth Industrial Revolution in manufacturing, the estimated £57bn boost to the industry over the next five years will be driven by gains in efficiency through the use of big data analytics. The winners will be those who can adapt, embrace technologies and respond to new demands.