The Silicon Review
![]()
Imagine, at a point in time in a future classroom, a student sits down for a test. Her exam paper is compiled by an AI model based on her specific learning and the goals she has set for herself. Once she is finished, she hands her paper to her teacher, who uses another AI model to grade the paper. Based on the almost immediate results, yet another algorithm sets an amended learning path for the student, based on her strengths and weaknesses. This is personalized education at its best. Could this be the future of Artificial Intelligence in education? It is certainly possible, but most likely we won’t reach that extreme for many years. What we will see in the immediate future, however, is a classroom that is enhanced by AI in a variety of ways from creating personalized learning paths to using data to accurately predict success outcomes. In response to the global pandemic and subsequent widespread adoption of technology, an AI-enhanced classroom will likely become the norm even faster than predicted. However, this catalyst for rapid change also brings up several questions: How can tech, including AI, enhance the learning experience? And how will this accelerate the adoption of AI in K-12 classrooms, colleges and universities, and online learning? The answers are yet to be seen as students slowly return to the classroom and continue with online classes, but one thing is for sure: the traditional classroom will never be the same, and the opportunities for AI adoption in education are rife. At Defined.ai, the values are its north star, and they influence everything the company does from business decisions to company culture.
From streamlining the customer experience and shortening claims adjudication times, to prescient and broad risk management, AI is speeding the insurance industry into the digital age. To better respond to customer calls, high-quality speech training data, specifically with human to IVR interactions, is key. With domain- and location-specific data, human to IVR datasets will enhance the performance of your IVR system, thereby reducing the burden on your human customer care team and setting a new standard in insurance customer service.
The adoption and integration of AI within the insurance industry has been swift. Learn why powering your digital transformation with Defined.ai is the smart choice. From AI chatbots to automated speech recognition to sentiment analysis models, customer service within the insurance industry can be transformed, if businesses employ them as their first line of contact. By providing immediate answers to basic questions and accurately gauging the complexity and urgency of escalated calls to quickly reroute to a human agent, automated customer service responses become key to providing efficient, cost-effective customer service, sparing businesses the overwhelming overhead of training and retaining an ever-growing number of support agents.
Quality is at the center of everything
AI is an ideal solution to help insurance companies in the areas of risk management. Especially in underwriting, AI can be used to accurately identify exposures and project potential loss, informing businesses on the optimal course in the face of new risks. In claims adjudication, AI can accurately issue decisions and pay-out in seconds, freeing adjustor bandwidth for more complex claims, while generating customer satisfaction and loyalty thanks to the rapidity of routine claims resolution. Another major area of risk management is fraud detection, in which AI analyzes historical claims data to detect insurance fraud quickly and easily. With the right tools, structured and unstructured data can be quickly parsed by AI, which will then identify unusual patterns in activity, singling out suspected fraudulent claims, and taking note of their characteristics as “red flags” to look out for in future transactions. This makes the process of risk management more effective and consistent for insurance companies, as AI auditors never need to sleep, monitoring transactions at a consistent level of vigilance.
Innovative products and technologies empowerment
Computer vision can be applied to a variety of assessment situations to simplify the process and to provide efficiency and accuracy by way of AI’s consistency and speed. For automobile accidents, computer vision can be applied to rapidly assess body damage, rendering a faster response for the customer while also saving time for the insurer. In situations of large-scale property damage, computer vision makes the assessment process safer for assessors, as machines like drones can be deployed to disaster areas instead of humans. AI also standardizes assessments, identifying levels of damage from images and videos in a consistent, rules-based manner that surpasses the potentially varied judgment of individual assessors. Finally, instant automated adjudication of routine claims, be they minor or major, helps customers find resolution faster, relieving them of the sometimes significant, if temporary, financial burdens that result from paying out of pocket while awaiting a claims decision. This rapid resolution of course results not only in happier and more loyal customers, but happier adjudicators looking to aid customers as quickly as possible. Defined.ai’s first-of-its kind platform combines human intelligence and machine-learning backed by quality assurance to deliver the quality guaranteed, project specific data necessary for successful AI initiatives.
Daniela Braga, PhD, Founder & CEO