GenAI and LLMs are shaping the future of work, enabling more natural and efficient human-AI interactions
Unlike a simple conversation with a friend, AI chatbot interactions involve a lot more happening behind the scenes. It's not just a direct path from your question to the AI's answer.
AI chatbots can have “hidden hands” guiding their responses. These are lines of code and processes that act as filters, checking for inappropriate input or clarifying your intent. They might consult data sources to inform the answer, choose from pre-written responses, or even generate new text based on your input.
Most importantly, safeguards can be implemented 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.
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, effectively answering questions, while saving 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.
Microsoft Fabric and 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 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 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 Cloud’s AI Platform simplifies the end-to-end machine learning workflow, allowing developers to build, train, and deploy models efficiently.
AWS provides a wide range of AI services, including machine learning, natural language processing, and computer vision, which can be easily integrated into applications.
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 Development
AI Proof-of-Concepts
AI Discovery & Education
AI Centers of Excellence
AI Discovery and Strategy
AI Service Disciplines focused on outcomes
AI Evolution Framework
AI is Transformative but Misrepresented.
AI isn’t just tech, but a new business function
A classic data foundation is necessary for AI
Microsoft Fabric
Databricks
Salesforce
Google AI
AWS
Contact us to learn how our tailored solutions can drive your organization's success in a data-driven world.
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