R&D Innovations
AI as a feature is not enough
AI Native® technology creates opportunities for significant optimization in the contact center. Watch now

Nirmal Mukhi
Senior Director of ML Infrastructure
How to Understand Different Levels of AI Systems
Understanding the level of an AI system can help predict how the system will change over time – whether it will continuously improve, remain the same, or even degrade. Read more

Michael Griffiths
Data Scientist, ASAPP
Bringing State of the Art Speech Transcription to CX
End-to-end architecture improves the scalability and performance of machine learning models for speech transcription to serve enterprise contact center needs better. Read more

Prashant Sridhar
Engineering Manager
Scaling for growth and expansion
AI services should grow with your business. Learn how ASAPP scales to meet your needs, from deployment to continued refinement and expansion. Watch now

Priya Sawant
Director of Engineering
Data like you’ve never seen before in this industry
Unlock insights to answer any business question. ASAPP offers customers access to an unparalleled breadth of data. Watch now

Jessica Langdorf
Sr. Director, Product Analytics
How task-oriented dialog helps empower agents
Task-oriented dialog elevates AI for the contact center, providing a much richer view of what’s happening so agents can more efficiently serve customers’ needs. Watch now

Ryan McDonald, PhD
Chief Scientist at ASAPP
How do you find automation workflows for your contact center?
How do you identify the right workflows to automate in the contact center? And quickly implement them? ASAPP was awarded a patent for the technology to meet this challenge. Read more

Michael Griffiths
Data Scientist, ASAPP
Utilizing Pre-trained Language Model for Speech Sentiment Analysis
On the path to real-time speech sentiment analysis, new ASAPP research achieves training efficiency gains with transfer learning between spoken and written language domains. Read more

Suwon Shon, PhD
Senior Speech Scientist at ASAPP
Multi-mode ASR: Increasing Robustness with Dynamic Future Contexts
Rather than maintaining multiple ASR models that work under varying time constraints or conditions, new ASAPP research introduces a single multi-mode model that can dynamically adjust to different scenarios. Read more

Kwangyoun Kim
Senior Speech Scientist at ASAPP
Introducing CLIP: A Dataset to Improve Continuity of Patient Care with Unsupervised NLP
In pursuit of our mission to enhance human performance and automate the world’s workflows, ASAPP is releasing one of the largest annotated datasets for clinical NLP. Read more

James Mullenbach
Research Engineer at ASAPP