Reflecting on the Gen AI promises made 9 to 12 months ago, enterprises are realizing that many aren't materializing. Does this gap between expectation and reality suggest that Gen AI is merely a myth? Or are we beginning to grasp its true practical applications?
Tino Tees up Tech
Join me and Relevantz as we explore how you can begin to adopt Gen AI for your own business, using a phased approach.
The Starting Line
Address Immediate Priorities for Gen AI Implementation
We're focusing on the capabilities Gen AI offers your enterprise today, not years down the line. To make the most of what Gen AI can do right now, businesses should concentrate on task-specific enhancements that provide immediate, tangible benefits.
Task-Specific Improvements Through Gen AI
Smarter Virtual Agents for natural language understanding
Knowledge Management Systems for better customer experiences
Troubleshooting Assistance for independent problem-solving
Coding Agents for greater coding efficiency
Practical Applications of Gen AI for Immediate Gains
Smarter Virtual Agents
Comprehend natural language to provide customers with more relevant responses, decreasing response time and cutting costs.
Knowledge Management Systems
Provide customized solutions based on individual preferences and previous interactions, enhancing user experience with a personalized touch.
Troubleshooting Assistance
Identify common, repetitive issues and enable informed decision-making.
Coding Agents
Enhance engineers’ efficiency by strategically using coding assistants.
Common Roadblocks in Achieving Immediate Gen AI Goals
Data Ingestion Pipeline & Prompt Crafting
When working with virtual agents, two main challenges arise: making private data accessible to Large Language Models (LLMs) and crafting effective prompts that enable the retrieval of relevant information.
Choose the Right Components
The integration of an organization's private data with LLMs often presents difficulties, limiting response accuracy and complicating both data retrieval and model adaptation.
Lack of Training
There is often a lack of tailored training for developers on the use of Gen AI tools and methodologies for efficient code generation.
Gen AI in Action:
Practical Solutions We’ve Developed for Our Clients
Created an employee handbook chatbot using LLMs across Azure, GCP, and AWS to streamline onboarding and to empower HR.
Developed Gen AI solutions capable of parsing manuals and interacting in a Q&A format.
Developed a Gen AI-powered solution to deliver concise summaries of games and relevant news to C-level executives.
Explore Our Latest Gen AI Insights
Confronting the 6 Challenges of LLMs: What Every Business Needs to Know
