But just having a lot of data really isn’t enough. You need to know how to effectively gather insights from all of that information and that’s where I see AI really helping us do a better job than what’s been possible before.
You have to be able to operate across the different kinds of data. For example, right now, many people refer to unused data as dark data and all of it is also not very well-connected and people referred to that as data silos. And I see a role for AI in being able to effectively harness many different data silos and climb in to what is otherwise dark data and extract more meaning from it…it’s really that extraction and surfacing of insights from lots of data that helps humans make better decisions which is, really, at the end of the day the name of the game enable more effective decision-making at the moment in which you need to make a call.
What kinds of markets are you guys serving in? Is it mostly to the provider side? Is it mostly to the payer side or is it any kind of entity that needs that data? I mean, that’s such a wide open market…so I’m curious to see where you’re focusing your efforts.
In the healthcare space, the payers and the providers…are those that are the most interested in extracting meeting and then conducting analysis on large scale data. And this also extends into the life sciences, the R&D, and the pharma space…there’s the continuum back all the way to how drugs are developed, how therapies are developed and brought to market. So that’s another area we are focusing. Along the way, we’re also focusing on some key types of analytics that can be conducted with deep learning.
“[I’m] learning that software development or technology development on the cutting edge is it’s really in part an art form. And these are very creative acts that the people on these teams are performing.”
We really wanted to sort of separate the hype from the reality of what the value of these technologies is in these spaces and so we focused in four key areas across articles. Those key areas are text analytics, image analytics, compound or small compound analytics, and then predictive analytics or quantitative analytics.
And so, in those areas we’ve seen real game- changing value of deep learning approaches for those data types. You know what that means is that there’s really in many different verticals that use, for example, text or imagery. And so, we’ve seen that even though we started in the life sciences and healthcare space, we’ve started to see interest already in a wide range of other verticals— legal, finance, marketing.
Where do you see Vyasa in the next year or two?
We spend every day just trying to build the best solutions that we can and support server clients as best as we can. And, you know, we intend to very much stay a solutions-oriented company, building software and capabilities that help to address the kinds of use cases that we’re seeing in the market. We are excited about the growth opportunity that we see. You know, within the life science or in healthcare space, but [in some cases] more broadly across verticals. And so I’d love to see the company grow and started to be able to address the number of these use cases across verticals. But at the same time, you know, I say this often, it’s really just doing the best job you can every single day and if you do that right, then the future is bright, and you sort of let the market tell you where to go.
Read more: It’s Time For The CEO To Own AI As A Strategic Imperative
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1:00 - 5:00 pm
Over 70% of Executives Surveyed Agree: Many Strategic Planning Efforts Lack Systematic Approach Tips for Enhancing Your Strategic Planning Process
Executives expressed frustration with their current strategic planning process. Issues include:
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2:00 - 5:00 pm
Female leaders face the same issues all leaders do, but they often face additional challenges too. In this peer session, we will facilitate a discussion of best practices and how to overcome common barriers to help women leaders be more effective within and outside their organizations.
Limited space available.
10:30 - 5:00 pm
General’s Retreat at Hermitage Golf Course
Sponsored by UBS
General’s Retreat, built in 1986 with architect Gary Roger Baird, has been voted the “Best Golf Course in Nashville” and is a “must play” when visiting the Nashville, Tennessee area. With the beautiful setting along the Cumberland River, golfers of all capabilities will thoroughly enjoy the golf, scenery and hospitality.
The golf outing fee includes transportation to and from the hotel, greens/cart fees, use of practice facilities, and boxed lunch. The bus will leave the hotel at 10:30 am for a noon shotgun start and return to the hotel after the cocktail reception following the completion of the round.
