The Future of Analytics - Domain Specific and Augmented
Technology is changing the way life sciences organizations think about analytics. Artificial intelligence, machine learning and natural language technologies are augmenting and automating analytics workflows and bringing the power of analytics and associated decision making to the business. These technologies coupled with specific data management techniques reduce the time spent wrangling data to get to smarter and faster insights.
Watch this webinar replay to hear the experts offer their perspectives on the future by exploring:
- What do decision makers want from analytics? What are the use cases most ready for this augmented future?
- What are the challenges to adoption and some practical solutions to overcome those challenges?
- What data management techniques will ensure you’re taking advantage of the insights that reside within the data?
- What is the role of technology and how does AI, ML and NLP truly help advance the value generated by analytics?
The Future of Analytics - Domain Specific and Augmented_Webinar
People also viewed
A New Era of Personalization: Applying Generative AI to Dynamic Customer Engagement
Webinar Series: Part 4 - Give Your Life Sciences Analytics the ExplAIn Advantage
Adding Up Data Analytics Total Cost of Ownership (TCO) and How to Lower It
High data analytics expenditures don’t have to be a cost of doing business for life sciences companies. WhizAI lowers the total cost of ownership (TCO) while making data insights more accessible to business users. Traditionally, data analytics TCO has been a significant expense for life sciences organizations.
Transforming Life Sciences Commercial Function with AI and Augmented Analytics
In this whitepaper, sponsored by WhizAl, Everest Group explores the business case and profound impact Al and Augmented Analytics can have on the life sciences commercial function across various use cases in Sales, Marketing, and Market Access. They examine what top pharma enterprises are looking for in an augmented analytics tool, a roadmap for how to get started, and a blueprint for adoption.
Augmented Analytics is “On the Rise” on Gartner’s 2022 Hype Cycle for Life Science Commercial Operations
The Gartner® 2022 Hype Cycle™ for Life Science Commercial Operations introduces a new category, Augmented Analytics, this year. WhizAI is listed as a sample vendor in the Augmented Analytics category in this Hype Cycle. This summary report covers the following highlights.
Why Domain Expertise Is Essential for Life Science Analytics
Domain expertise matters. Consider this: Enterprises choose transportation and logistics companies that have created the specific types of services they need. Businesses seek professional services with experience in their industries and look for consultants with good track records in their markets. However, remember that domain expertise benefits extend to analytics platforms, particularly those deployed for life sciences.