Interactive AI

GenAI’s ability to create content was unprecedented, but another AI is stealing the show. Interactive AI enables natural, dynamic interactions with technology using speech and gestures. This breakthrough is reshaping how customers expect to interact with software – and consumer demand for “natural human interfaces” will fuel the next wave of digital transformation. Marlabs can help you implement Interactive AI to seamlessly engage customers; simplify navigation; and supercharge research, development, and information management.  

What Is Interactive AI?

When an AI system converses back and forth with users in real time like a human, that’s interactive AI. Unlike static AI, which simply processes data in the background, interactive AI actively analyzes and responds to input – whether it’s text, voice, gestures, or even images – in real-time, fluid conversations. Interactive AI is the future of work because of its natural language approach. It enables systems to understand user input AND respond in a meaningful way, as if a human is responding. Generative AI might be all over the headlines, but interactive AI is where the long-term impact lies. Together, they mark pivotal advancements in developing more intelligent systems.  
Chatbots and virtual assistants
Voice-activated smart devices
AI-powered tutoring systems
Educational support
Customer support
Healthcare applications

How Does Interactive AI Work?

Generative AI (GenAI*) and large language models (LLMs*) work behind the scenes to learn, adapt, apply context, and offer personalized responses to user queries. Interactive AI interprets not only text and images but also human gestures and speech to help machines respond to human behavior. Analyzing hand gestures and voice commands makes the back-and-forth interactions between people and systems more natural and seamless.

Gestures:
  • Gestures range from simple hand movements (like swiping and pinching to zoom) to more complex movements (like waving, pointing, or facial expressions).
  • Gestures are monitored via motion sensors, cameras, or wearable devices to detect movement.
  • AI algorithms analyze the gestures to understand intent and execute a response.
Speech:
  • Spoken commands, questions, and conversations are analyzed using natural language processing and speech recognition.
  • Interactive AI identifies tone, context, and semantics to formulate a response.
  • Advanced systems can even respond to individual voices and accents.
People often don’t know that LLMs do a lot behind the scenes to create what appears to be an instantaneous response. Prompt interception is the term for the analysis that guides context and determines how to respond to a question appropriately and accurately.

*Definitions:
  • GenAI is AI that generates content, images, music, and videos.  
  • LLMs are a subset of GenAI that take human speech or input and translate the output back to human speech or writing. Almost all LLMs are used for interactive AI.  

How Can Interactive AI Help Your Business?  

Why Is Prompt Interception Vital to Implementing LLMs?

Unlike a simple chat with a friend, AI chatbot interactions involve complex, behind-the-scenes processes. It's not just a direct path from your question to the AI's answer.  

AI chatbots can have “hidden hands” (known as prompt interception) that guide their responses and ensure LLMs behave properly and answer appropriately and accurately.

Hidden hands are lines of code and processes that act as filters, check for inappropriate input or output, clarify intent, consult data sources, and select pre-written responses or generate new responses based on your input.  

Most importantly, you can implement safeguards to ensure factual accuracy, improve security, prevent biased responses, and comply with regulations. The hidden hands ultimately contribute to improved accuracy, a more natural user experience, and responsible AI that avoids generating harmful or biased content.

Ask an Expert

What are the most common challenges to implementing interactive AI?
The top implementation challenges we’ve seen in implementing AI over the last two decades are:
  • Data quality and availability: You need clean, relevant data that you can trust and access whenever needed. Without this foundation, AI cannot succeed.
  • Cost and resources: It’s expensive to develop, deploy, and maintain AI systems and infrastructure. Marlabs created PromptRouter to reduce costs and infrastructure overhead.
  • Lack of integration of AI into current systems and workflows: To seamlessly integrate AI without disruption, companies need to address, integrate, and align their infrastructure, technology, people, and processes.
  • User adoption and trust: Organizations struggle to create cross-functional buy-in and collaboration up-front and then demonstrate results, educate, and provide continuous training to boost AI adoption and trust.
You can overcome these challenges if you adhere to an actionable roadmap based on a solid data and AI strategy. Marlabs' AI Evolution Framework helps you consider and address the factors critical to AI success.

Experience Cost-Efficient AI Scaling

One of the largest hurdles to deploying AI is the infrastructure cost. To help our clients overcome this challenge, we have built our own proprietary solution to manage cost and greatly reduce overhead for running GenAI LLM solutions.

Not all AI requests are complicated or require the most advance models to provide a good answer. So why route all requests to the most expensive model? PromptRouter automatically analyzes the request complexity and effectively answers questions while saving you money. It also provides a security framework to help make sure the AI is used responsibly within the corporate guidelines. This solution greatly reduces the cost of running GenAI LLMs while also improving efficiency.
Learn More

Who are our AI partners?

Microsoft Data Fabric

Microsoft Fabric with Co-Pilot AI is an end-to-end analytics and data platform that unifies
various technologies, including Azure Data Factory, Azure Synapse Analytics, and Power BI.

Databricks

Databricks combines generative AI with the unification benefits of a lake house architecture. This allows it to power a data intelligence engine that understands the unique semantics of your data.

Salesforce

Salesforce Einstein is an AI platform integrated into Salesforce’s suite of business solutions. It offers features like lead conversion prediction, chatbots for customer service, and personalized product recommendations.

Google AI

Google Cloud’s AI Platform simplifies the end-to-end machine learning workflow, allowing developers to build, train, and deploy models efficiently.

AWS

AWS provides a wide range of AI services, including machine learning, natural language processing, and computer vision, which can be easily integrated into applications.​

We’re Your AI-Powered Partner

Our data-driven approach to AI, along with our experience, expertise, partnerships, and proven methodology for AI adoption will drive innovation and continued transformation​.

AI Experience

  • AI development​
  • AI proof of concepts​
  • AI discovery & education​
  • AI Centers of Excellence

AI Process

  • AI discovery and strategy
  • AI service disciplines, focused on outcomes​
  • AI Evolution Framework​

AI Perspective

  • AI is transformative but misrepresented.​
  • AI isn’t just tech, but a new business function.​
  • A classic data foundation is necessary for AI​.

AI Partners

  • Microsoft Fabric​
  • Databricks​
  • Salesforce
  • Google AI​
  • AWS​

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