AI Agents
AI agent: intelligent software that autonomously performs tasks, makes decisions, and interacts with its environment on behalf of a user. What is an AI Agent? AI Agents are computer programs (or software) that have a certain amount of autonomy to perform predetermined tasks. They have … Read More...
AI Bias
How Hidden Prejudices Shape Algorithms and Impact Business & Society What Exactly is AI Bias? AI bias occurs when algorithms are trained on data that contains existing, and sometimes hidden, bias. This leads to the perpetuation of biases or mistruths that we as a society wish to a … Read More...
AI Governance
The Importance of AI Governance: Safeguarding Human Values, Managing Risk, while Fostering Adoption What is AI Governance? In the broadest sense, AI Governance is the framework we use to ethically implement AI across business and society. From an enterprise-specific lens, AI governanc … Read More...
Co-Intelligence
Co-Intelligence: Where Human Smarts Meet AI Sparks What is Co-Intelligence? Co-Intelligence refers to the integration of artificial intelligence with human intelligence towards the development of ideas, insights, and tools. It's a term colloquialized by Ethan Mollick, Wharton Professo … Read More...
CRM Data
CRM: Your Business's Digital Memory Bank What is CRM Data? A CRM is a customer relationship management system. Data is captured into the CRM to create business intelligence. Think of a CRM as a database that houses everything your sales, client service, and financial reporting needs t … Read More...
Data Aggregation
From Raw to Ready: The Art of Data Aggregation What is Data Aggregation? Data Aggregation is the fundamental process of combining disparate sources of data that may be warehoused in different locations. In today's digital world, this is often done in databases specifically designed fo … Read More...
Data Governance
Why Data Governance is Crucial in the Age of AI and Digital Transformation What is Data Governance? Data Governance is the umbrella practice of managing data within an organization. It incorporates risk management and security across all stages of data (creation and ingest to disposal … Read More...
Digital Transformation
From Paperwork to Pixels: Understanding Digital Transformation What is Digital Transformation? Digital Transformation is the process of taking rote or manual processes within a business and digitizing them. This is done to improve efficiency, to collect better data on processes, and t … Read More...
Digital Twin
Unlocking the Power of Precision with Digital Twins: From Machines to Minds What is a Digital Twin? A digital twin is a virtual simulation of a physical object, which allows a computer to better model or predict behaviors or interactions for the physical object. Think about precision … Read More...
Embeddings
From Words to Vectors: Understanding AI's Mathematical Language What are Embeddings? Read More...
Generative AI (GenAI)
Generative AI: The Transformative Power of Predictive Creation What is Generative AI? Generative AI has taken the world by storm. Since the introduction of ChatGPT, the public's imagination has been reshaped by the ability of AI tools to generate content. That dynamically generated co … Read More...
Hyper-Personalization
Hyper-Personalization: Tailoring Tech to the Individual Worker What is Hyper-Personalization for business? Let's start with personalization. Personalization is tailoring the tools, services, and goods workers use to their unique personalities. At the lighter end, this can be achieved … Read More...
Large Language Models (LLMs)
LLMs: Mastering Reasonable Continuation What is An LLM? LLMs are a deep learning models designed to predict text sequences through an applied technology called Transformers, first discovered by researchers at Google. LLMs fall under the umbrella of Generative AI, an exciting new field … Read More...
Retrieval Augmented Generation (RAG)
RAG: Supercharging LLMs with Precision Knowledge Retrieval What is RAG? Retrieval Augmented Generation ("RAG") is a form of optimizing the way large language models respond to questions, specifically those that require subject-matter expertise. They often instruct the LLM to point tow … Read More...
