Michael J. Saylor Quotes

Data is going to be dynamic... and, combined with the performance of computing that allows for artificial intelligence to be applied, is going to bring all kinds of insights and additives to enhance everyday life.

The power of Ayasdi is its unique ability to automatically discover insights - regardless of complexity - without asking questions.

There's a whole company called Palantir that does nothing but derive and create algorithms riches to search through big data. We're not using their capabilities. For heaven's sake, some of this is just ineptitude.

Intuition becomes increasingly valuable in the new information society precisely because there is so much data.

The purpose of computing is insight, not numbers.

When human judgment and big data intersect there are some funny things that happen.

Being able to do research in a real-time way is the way research needs to be done in the future.

The answers to today's most important scientific, business, and social problems lie in data.

Without your data, Google couldn't pursue the dream of trying to figure out what you're really thinking when you're asking a question, of trying to discern, from the imprecision of your language, the exact answer you're looking for.

Technologies like Ayasdi's exist now to automatically discover information from data without having someone making guesses up front.

Ayasdi's customers can finally learn the answers to questions that they didn't know to ask in the first place.

The next darwin is more likely to be a data wonk than a naturalist wandering through an exotic landscape.

Looking at scientific inquiry, next paradigm will be based on very large datasets. Scientists are in the lead in handling very large datasets - Hubble telescope or Large Hadron Collider are massive datasets.

Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the Web. It would understand exactly what you wanted, and it would give you the right thing. We're nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.

A lot of people seem to think that data science is just a process of adding up a bunch of data and looking at the results, but that's actually not at all what the process is.

Artificial intelligence is here and being rapidly commercialized, with new applications being created not just for manufacturing but also for energy, healthcare, and oil and gas. This will change how we all do business.

It is becoming harder for us to stay on top of the onslaught - e-mails, messages, appointments, alerts. Augmented intelligence offers the possibility of winnowing an increasing number of inputs and options in a way that humans can't manage without a helping hand.

We believe behavioral science, cognitive computing, and machine intelligence are essential to a successful, holistic surveillance offering and critical to efficient and effective organizational compliance with an increasingly intricate global regulatory environment.

Increasingly, we are embedding artificial intelligence into the core of our clients' businesses across every function and process.

We know now data is so powerful, and you can learn so much about yourself and creating product with data.

Emotion AI uses massive amounts of data. In fact, Affectiva has built the world's largest emotion data repository.

The biggest challenge in big data today is asking the right questions of data. There are so many questions to ask that you don't have the time to ask them all, so it doesn't even make sense to think about where to start your analysis.

You need to use data science and machine learning to get the ground truth of what's happening inside of a company.

The core advantage of data is that it tells you something about the world that you didn't know before.

For me, the most exciting aspect of my success is how the insights that Ayasdi's technology has found in data can truly impact people's lives.