“Our conversations with chat bots and digital agents will be highly personalized. And they’ll already know about our problems, so every conversation won’t have to start from scratch. The bots will know that you’ve called five times and that you’re frustrated. They’ll have access to in-depth knowledge about everyone else who’s called with a similar issue, so they’ll know which answer is most likely to resolve your problem. And all of this will seem to happen instantaneously. For years, we’ve been talking about big data. This is where big data finally becomes useful to large numbers of people. The robot will know the answer to your question before you even ask.” Kanishk Priyadarshi ( 2017 )

“Generalization is the sole product of a machine learning system.” n.n.

“(Autoencoder Neural Network) We want a few small nodes in the middle to learn the data at a conceptual level, producing a compact representation.” Ivan Vasilev

“Analytics no longer needs to be a separate application but can be accessed within operational systems to help business users gain the visibility they require. Businesses want to have a cohesive view of information. The ability to embed analytics within an application gives them a new way of deploying analytics without limiting who can access data. Better access to data in general, also helps sell its value overall, providing organizations with the basis to justify budgetary allocations to manage their data more effectively.” Lyndsay Wise ( December 22, 2014 )

“The success of analytics lies in finding insights fast. Dashboards and discovery tools can deliver meaningful information, but in order to extend this to a larger audience, organizations need to infuse visual analytics into existing applications and create the right user experience for data. The key is to build an analytical framework that empowers users with seamless access to actionable data and provides powerful visualizations to drive decisions.” insideanalysis.com ( November 10, 2014 )

“Imagine you are selling cookies. Data Science asks a prediction question: ‘Who is most likely to buy?’ However, the business user actually asks a business optimization question: ‘How do I make the most money?’ The answers to these two questions are not identical and that is the entire problem with evaluating AI without considering business impact.” Arijit Sengupta ( April 2019 )

“Moore’s Law for BigData: The amount of nonsense packed into the term ‘BigData’ doubles approximately every two years .” Mike Pluta ( 10.08.2014 )

“You can use an eraser on the drafting table or a sledgehammer on the construction site.” Frank Lloyd Wright

“Big data is not about the data. (Making the point that while data is plentiful and easy to collect, the real value is in the analytics.)” Gary King

“To put it simply, there is too much friction. In any given workflow, you have to go through several levels to get to what you really need. For instance, say you’re part of the customer service team: You use Salesforce to get the information you need to best serve customers. But depending on the information, you have to go across half-a-dozen windows in search for the right sales pitch, product information, or other collateral. You are 15 steps into a workflow before you get to the real starting point. This wastes time, money, and reduces quality of service. This is in sharp contrast to what you have come to expect using consumer products. Think peer-to-peer payment option solutions like Square that make payments as simple as the tap of a button – eliminating dozens of process steps that you would usually go through. This simple, bare-bones approach has changed industries across the board, be it transportation (Uber), insurance (15 minutes can save you…), accounting (TurboTax), retail (Amazon Same-Day), and so on. Enterprises that provide this personalized, contextual experience will thrive and those that don’t will falter.” Mayank Mehta ( August 27, 2015 )