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Cognitive AI
Elevate your organization’s expertise and intellectual property by harnessing the power of AI for discovery, research, and product innovation. We make AI an essential partner in your quest for knowledge.
Where is the value in Cognitive AI?
For many use cases, the value AI brings is the AI itself. AI revolutionizes businesses by enabling the analysis of intricate datasets, leading to increased efficiency and groundbreaking discoveries
Our view on AI and GenAI
AI is Transformative
AI is dramatically transforming businesses by doing real work – automating tasks, enabling natural human interactions, and offering supercharged automation. This trifecta lets businesses operate smarter, not just harder, by freeing up human potential and optimizing processes.
- Enhanced Efficiency & Automation
- Personalized Customer Experiences
- Innovation & Product Development
- Improved Operational Efficiency
AI is Misrepresented
It’s important to acknowledge the hype surrounding AI’s capabilities. Implementing AI requires significant investment in training data and specialist personnel. Additionally, AI systems can pose serious risks, as biases in training data can lead to discriminatory outcomes and misleading outputs.
- Training and Resource Intensive
- Ethical and Security Concerns
- Capabilities “Not-as-Advertised”
- Over-reliance and Misuse
Ready to transform your AI data strategy?
Contact us to learn how our tailored solutions can drive your organization’s success in a data-driven world.
Implementing LLMs with Prompt Interception
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.
Challenges to Innovation with AI
Lack of resources
To overcome this challenge, businesses must invest in research and development and prioritize innovation.To overcome this challenge, businesses must invest in research and development and prioritize innovation.
Fear of Failure
Businesses must foster a culture of experimentation and learning from mistakes.
Resistance to Change
Organizations must communicate the benefits of change and involve stakeholders in the decision-making process.
Misperception of AI as Technology Only
Implementing AI is an organizational and cultural change that encompasses people and process, along with the technology.
Well-Rounded AI Expertise
While GenAI (Generative AI) has been the catalyst for the rapid growth in AI adoption. Most AI business objectives require a combination of disciplines to succeed. Our team has decades of experience in all forms of AI development. Virtually all AI solutions “in the wild” require an infrastructure of data, automation, and interacting solutions to ensure accuracy, security, and safety.
- Generative AI
- Machine Learning
- Natural Language Processing (NLP)
- Deep Learning & Neural Networks
PromptRouter: 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, 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.
Case study
Intelligent Automation for Global Leader in Corporate Managed Services
Case study
Intelligent Automation Can Help HHC Providers Process Referrals and Intake Patients Faster, Better, and Smarter
Case study
Establishing Centers of Excellence for Sustainable Intelligent Automation
Case study
Revolutionizing Microscopy with AI for a Global Life Sciences Leader
Case study
Center of Excellence for the largest integrated network systems
Who we partner with
Microsoft Data Fabric
Databricks
Salesforce
Google AI
