Everyone from chief executive officers to product managers to venture capitalists wants to understand machine learning better. They know it has the potential to take their software to the next level. They feel the excitement around it. They've read the TechCrunch or Fortune articles, and they've maybe even done a quick linear regression or two. But the primary issue that many product leaders grapple with when it comes to machine learning is that they want programs that don't just crunch the numbers, but can also think for them.

The fintech industry is growing at an accelerated pace, driven by new technological innovations and evolving needs. In many cases, the modern enhancements across many IT sectors have had secondary effects across industries – and particularly on fintech products and services. For example, artificial intelligence (AI) now drives a large number of applications and major predictive market models/systems. Of particular note are big data analytics and product analytics. Both industries get a lot of news coverage, though normally in relation to social media or marketing.