Real-time decision-making has gone from a static, codified set of rules to a continuous feedback loop of aggregated and real-time data, machine learning and other techniques to harness the power of the data you already have.

Let’s talk about:

• How to make the most of your data lake in real time
• What techniques, tools and frameworks you can use to blend your operational and analytic data in real time
• How to scale and incorporate deep graphs of data in your decision-making
• Use cases across Financial Services (e.g., fraud, position analysis), Telecom (e.g., call routing) and other verticals that are driving this need