The use of AI in any organization begins with preparing data for the transition. “To really reap the benefits of AI in terms of delivering predictive or descriptive capabilities, AI needs to be fed clear, contextual and relevant data,” says Astrix. Dave Dorsett, Principal Software and Systems Architect, says in his new AIScoop video interview.
However, for many science and research-based organizations, tackling this alone can prove difficult. Dorsett argues that more effective outcomes are achieved when subject matter experts and technology leaders work together.
“It takes some work and experience to choose the right problem to actually get any benefit from your technology investment,” Dorsett says. “The process of generating data, using data, or building models requires balanced guidance informed by both the technology and science sides of things.”
According to Dorsett, taking a collaborative approach to AI and machine learning applications will ultimately help science-based organizations achieve progress faster and leverage systems already in place more effectively. You will be able to do it.
“As an industry, we lock up vast amounts of R&D data in our systems, and one of the challenges is the discoverability and usability of that information we already have,” he says. “AI has the ability to help scientists find what they need, when they actually need it.”
Learn more about how to harness the power of data to accelerate better decision-making.
This video interview was produced by Scoop News Group and underwritten by Astrix.
