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Top 5 Augmented Reality use cases

Augmented Reality is the integration of digital information with the user’s environment in real time. Unlike Virtual Reality, which creates a total artificial environment, augmented reality uses the existing environment and overlays new information on top of it.

Let’s take a quick snapshot of Augmented Reality Technology with five usecases showing how Total Immersion is defining a technology and making it real for businesses and consumers alike.

1.Furniture Staging: The ability to visualize a virtual catalogue of furniture, overlayed at scale into a room a consumer would like to furnish, and the ability to make purchase / buying decisions by composing multiple furniture arrangements together.

2.Geo-located messages or content: The ability to place a message, object, or 3d experience at a specific real world location, that can only be viewed through a device at that locations. Snapchat Art, WallaMe, World Brush.

3.Geo-located entertainment: Games that move users through the real world to specific locations to score points. Pokemon Go, Ingress, Jurassic World Alive.

4.Wayfinding: Overlaying traditional gps mapping directions onto the world instead of on a 2D map, for ease of navigation, and including fun characters like HotStepper.

5.E-Commerce product displays: Augmented Reality has always been anticipated to change the way people see the world around them, but it will also revolutionize the way we shop online. Seeing products in 3d in your own home before you buy, including virtually trying on clothing pre-purchase to increase the customer experience.

Many companies started to believe that augmented reality is an innovation of the future and investing in this technology, it’s providing business value right now.

We would like to thank David Gull, CEO Outer Realm  for providing your inputs on how AR is being used in our world today.

 

 

 

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Conversational UI in Healthcare: Enhancing Patient Interaction with Chatbots

As healthcare becomes more patient-centric, the demand for efficient and personalized care continues to grow. One of the key technologies that have gained traction in this domain is Conversational UI (CUI) — a user interface where interactions occur through natural language, often with the help of chatbots. For developers, building a robust CUI in healthcare requires a balance of technical proficiency, understanding of the healthcare landscape, and empathy toward patient needs. Let’s explore how CUI can improve patient interactions through chatbots and what developers should consider during implementation.

Why Conversational UI is Gaining Popularity in Healthcare

From scheduling appointments to answering medical queries, healthcare chatbots have become vital tools for enhancing patient engagement and streamlining healthcare workflows. Conversational UIs enable these chatbots to interact with patients naturally, making them accessible even to non-tech-savvy users. By incorporating AI and NLP (Natural Language Processing), chatbots can now simulate human-like conversations, ensuring patients receive timely, relevant responses. 

Image credit: https://www.analytixlabs.co.in/blog/ai-chatbots-in-healthcare/ 

Key Areas Where Chatbots Are Revolutionizing Healthcare

  1. Appointment Scheduling and Reminders – Chatbots can automatically schedule appointments based on patient availability and send reminders before the visit, reducing no-show rates. For developers, this feature requires integration with hospital management systems (HMS) and calendar APIs. The challenge lies in ensuring secure and real-time data transfer while adhering to healthcare compliance standards like HIPAA.
  1. Medical Query Resolution– Chatbots equipped with NLP can answer common patient questions related to symptoms, medications, and treatment plans. This reduces the burden on healthcare providers, allowing them to focus on more critical tasks. Developers working on this feature need to consider integrating medical databases, such as SNOMED CT or ICD-10, for accurate and up-to-date information.
  1. Patient Monitoring and Follow-ups – Post-discharge, chatbots can monitor a patient’s condition by regularly asking for health updates (e.g., vital signs or medication adherence). Developers can integrate IoT devices, such as wearable health monitors, with chatbot platforms to collect real-time data, providing healthcare professionals with actionable insights.
  1. Mental Health Support – Chatbots have shown promise in offering mental health support by providing patients with an outlet to discuss their feelings and receive advice. Building these chatbots involves training them on therapeutic conversational frameworks like Cognitive Behavioral Therapy (CBT), ensuring they offer relevant advice while recognizing when a human intervention is required.

Key Considerations for Developers

1. Natural Language Processing (NLP) and AI Training

NLP plays a pivotal role in en