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.
Accelerating Decision-Making with AI-Powered Analytics in Life Sciences to Drive Commercial Success
Gartner Reports AI in Clinical Development is Only 2-5 Years from Mainstream Adoption
WhizAI is recognized as a Sample Vendor for AI in clinical development, a high-benefit technology already seeing market penetration.
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.
Where Gartner Positions Natural Language Query on the Hype Cycle and What It Means for Life Sciences
Gartner® 2022 Hype Cycle™ for Natural Language Technologies (NLT) shows natural language query (NLQ) adoption is accelerating. WhizAI was recently recognized as a Sample Vendor in the Natural Language Query category in several Gartner Hype Cycles:
Market Access Team Stays Ahead of the Curve with WhizAI-Powered Insight-Driven Decisions
After investing in self-service analytics platforms, this global pharmaceutical company discovered the ease, usability — and ROI — of WhizAI.
Global Pharma Patient Services Team Manages 20,000+ Patients with Insights from WhizAI
This patient services team now has visibility into the entire patient journey, identify risks, and increase productivity by a factor of five.
Market Guide for Augmented Analytics Tools 2021
"By 2023, overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solution." -Gartner