Technical and spiritual unification of the two opposed camps can make a powerful impact on the effectiveness of analytics for the business overall. - Look at successful data architectures from companies like Philips, Moneysupermarket.com, Simpli.fi, …
- Learn to eliminate duplication of effort between data science and BI data engineering teams
- See a variety of ways companies are getting AI and ML projects into production where they have real impact, without bogging down essential BI
- Study analytics architectures that work, why and how they work, and where they’re going from here