Hybrid NLP Engine
Put human experience at the center of the analytics process. Built on a unique blend of deep learning and sophisticated linguistic techniques, WhizAI's hybrid NLP engine lets you have conversations with WhizAI the way you would with your colleagues and returns personalized, contextualized insights in seconds.
Deep Learning Combined with Linguistic Techniques
World-class NLP engine combines elegant language models with deep learning algorithms; hence, it interprets simple words and understands users' cognitive thought processes, semantics, and intent in their questions. The result is personalized insights that users can act upon right away. And did we mention WhizAI speaks five different languages?
Contextual and Meaningful Insights
WhizAI understands the ambiguity in a question such as “sales” refers to “Units” or “TRx” so that users always receive contextual, accurate, and personalized answers.
Continuous Cognitive Intelligence
AI keeps track of each question and remembers everything asked before, so users can continue the conversation with WhizAI without repeating phrases, filters, or keywords.
Intent Detection and Slot Filling
WhizAI automatically detects missing information in a question and prompts the user to provide the critical attributes necessary to give an exact answer.
Intelligent algorithms suggest the next questions a user may ask as they interact with WhizAI, allowing them to perform deeper analysis and gain more comprehensive insights.
Adaptive and Self-Learning AI
The AI model adapts and continually learns from you, the user, to improve outcomes and become more intelligent over time. Self-learning can occur online and offline to ensure timely, accurate, and relevant insights.
A New Era of Personalization: Applying Generative AI to Dynamic Customer Engagement
Webinar Series: Part 4 - Give Your Life Sciences Analytics the ExplAIn Advantage
Gartner® Market Guide 2023 for Augmented Analytics Focuses on the Impact of Generative AI and Domain-Specificity
WhizAI is recognized among representative vendors in augmented analytics but stands apart as the only platform developed for life sciences in Gartner’s Market Guide for Augmented Analytics 2023.
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.
Gartner® Predicts Augmented Analytics Will Have a Major Impact on Life Sciences Commercial Functions
Gartner recognizes WhizAI as a Sample Vendor for Augmented Analytics, an emerging technology poised to revolutionize how commercial teams use data insights to optimize outcomes.
WhizAI Deployed as a New Field Reporting System at a Top 3 Global Pharma
Better, Faster, Smarter Decisions at Lower Cost for a Top 3 Global Pharma. A top 3 global pharmaceutical faced the following challenges with their legacy field reporting system:
WhizAI Puts Sales Reps at the Center of the Analytics Process for a Leading Specialty Pharmaceutical Company
Sales reps use WhizAI data exploration to answer questions like 'Sales trends this year by region, brand (or by city, territory, GPO, COT, IDN)?' in seconds.