Technical proficiency alone isn't enough to make a business success story. It also takes deep understanding of your operations, constraints, and goals. We encompass the whole puzzle, not just a piece.
Our process starts with your business objectives and proves value early through focused pilot projects. We scale what works and quickly identify what doesn't, saving you time and resources.
AI initiatives fail because they miss critical components. Our comprehensive approach covers strategic planning, technical implementation, change management, team enablement, and ongoing optimization.
AI is changing the world at lightning speed. Are you ready?
Generative AI (commonly shortened to gen AI) is a subcategory of artificial intelligence that creates new content—text, video, images, or other formats—based on patterns learned. Gen AI contrasts in this regard with discriminative AI, which serves a classification function (“is this transaction fraudulent or legitimate?”).
Generative AI systems are trained on vast quantities of data and produce original content that is similar to its training data but not an exact copy. In this regard, gen AI resembles human learning: we learn language (and many other things) by immersion, then produce language patterns that are uniquely our own while being of the same type as our surrounding culture.
The capabilities of generative AI increase in leaps and bounds, yet the implementation of AI is fraught with peril. Many AI technologies show tremendous potential, yet their actual performance falls short. Before rolling out artificial intelligence “solutions” in a live environment, we recommend limited pilots to test feasibility and identify challenges. See our feasibility study service page for more on this.
Here are a few of the ways that AI is transforming business operations, either presently or in the near future:
See our complete guide to AI use cases for more. If you’d like to explore specific implementations for your company, contact us for a free consultation.
An AI governance framework defines the guidelines, policies, and processes for managing the development, deployment, and use of artificial intelligence systems within an organization. It focuses on ethical principles, policies, accountability, auditing, and risk management. It also defines the roles and responsibilities associated with the maintenance and enforcement of said AI policies and guidelines.
What are you working on? How are you thinking about AI for your organization? What problems would you like to solve?
Talbot West bridges the gap between AI developers and the average executive who's swamped by the rapidity of change. You don't need to be up to speed with RAG, know how to write an AI corporate governance framework, or be able to explain transformer architecture. That's what Talbot West is for.
