Your partner in AI implementation and assessment.

Question 1

What is generative AI?

Answer

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.

Question 2

How can generative AI help my company?

Answer

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:

Producing dynamic, personalized email campaigns and newsletters
Developing creative concepts for advertising campaigns and brand identities
Powering intelligent chatbots and virtual assistants for 24/7 customer support
Generating human-like responses to customer inquiries across various channels
Creating personalized troubleshooting guides and how-to content
Automatically generating responses to common customer complaints or feedback
Generating new product designs, prototypes, and 3D models
Optimizing existing product designs for performance, aesthetics, or manufacturability
Creating realistic simulations of product usage scenarios for testing and validation
Automating the creation of reports, summaries, and presentations
Producing transcripts, captions, and translations for multimedia content
Creating data visualizations, infographics, and interactive dashboards
Creating personalized onboarding and training materials for new hires
Producing employee engagement and satisfaction surveys
Generating synthetic data for diversity, equity, and inclusion training scenarios
Generating personalized sales pitches and proposals
Creating engaging presentations and demo videos for prospects
Producing market research reports and competitive intelligence insights
Generating leads and identifying potential partnership opportunities
Generating financial reports, forecasts, and budgets
Creating data visualizations and dashboards for financial performance monitoring
Producing risk assessment and audit reports
Generating synthetic financial data for fraud detection and anti-money laundering training
Generating optimal delivery routes and schedules
Creating demand forecasts and inventory management strategies
Producing realistic simulations of supply chain disruptions for contingency planning
Generating contract templates and legal documents
Creating prototypes and proof-of-concept demonstrations
Producing research papers, patent applications, and technical documents

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.

Question 3

What is an AI governance framework?

Answer

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.