Is data driving the business model in the healthcare industry? with AB Guandala at SickleSoft
The Data Standard
Is data driving the business model in the healthcare industry? with AB Guandala at SickleSoft
AB Gundala, Chief Data Officer at SickleSoft Inc., joins The Data Standard to talk about how data driving the business model in the healthcare industry.
Episode Summary
Despite a reputation of being antiquated, the healthcare sector is becoming more modern and data-driven each day. Given its size and complexity, this is welcome news for the entire ecosystem, including consumers. Technological advances in cloud computing, data warehousing, artificial intelligence, and other areas have gotten to the point where being data-driven is now within every organization’s grasp. While we’re still a long way from the majority of the healthcare sector – which encompasses payers, providers, genomics, pharma, life, and bio sciences and beyond – using data analytics and data sharing to take actions that ultimately result in improved patient outcomes, the tools to get there are readily available today. And, from a business perspective, data analytics are also helping forward-thinking organizations to reduce costs, enable new business models and create new revenue streams.
Meet The Host
Catherine Tao
Data scientist at The Data Standard
Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.
Meet The Guest
AB Gundala
Chief Data Officer at SickleSoft Inc.
Working with large and complex data within the aerospace & defense industry and academia has brought me to greatly appreciate, learn, and enjoy the application of programming and data science in the real world. I am always looking for innovations and new challenges to tackle in the fields of machine learning, AI, and data science!