Foundations and Big Picture of AI

On rebundling jobs and skill premiums

AI can own B2B workflows by converting them into a feature or capability within the product. This is the potential that we believe SynthAI yields.

Businesses that prioritize generative AI use cases can maximize their value capture, speed, and efficiency.

I have yet to find a company that has successfully scaled genAI in their organization. No shade - it’s super hard. The reason it’s hard? We are using an outdated paradigm. Consider this: A typical digital transformation is like corralling your workforce onto a Carnival Cruise. The initial logis

Email is undervalued as an interface for LLMs. Email is ubiquitous. We used to say at Twilio, “SMS is the only app that’s installed on every phone,” but that’s true of email as well. Email is frictionless. No signup. No login. Just send an email to get started.

Many companies are struggling to derive value from GenAI because of a fundamental flaw in their approach: They think of GenAI as a traditional form of automation rather than as an assistive agent that gets smarter — and makes humans smarter — over time. The authors suggest a framework, Design for Dialogue, for reimagining their processes to mirror the back-and-forth collaboration of human dynamics to create an effective and adaptable human–AI workflow. At the heart of the framework are three primary components: task analysis, interaction protocols, and feedback loops.

2024 will be the year to bring your idea to life. Will AI beat you to it?

A playbook for transforming the enterprise with AI.

Craft an AI Business Roadmap to power your enterprise growth. Learn key steps and explore high-impact AI use cases to drive ROI. Unleash the potential of AI in business.

Learn how to embed generative AI into your operations and how an AI factory can increase productivity, deliver results and achieve ROI quickly.

Programming in prose in an AI-haunted world

An entirely non-technical explanation of LLMs

Educate your team on how you might approach artificial intelligence.

Understanding the history and basics of applied AI

Updated: We take a deep dive into the inner workings of the wildly popular AI chatbot, ChatGPT. If you want to know how its generative AI magic happens, read on.

LLMs (like GPT-4) excel in natural language understanding and generation tasks, offering powerful capabilities for processing and generating human language. They are not designed for handling structured data, clustering, image analysis, or ranking structured data tasks, where other machine learning models and algorithms would be more appropriate. But more about that ‍

Generative AI vs Traditional AI: Discover how Generative AI sparks creativity while Traditional AI follows predefined rules.

Updated: We take a deep dive into the inner workings of the wildly popular AI chatbot, ChatGPT. If you want to know how its generative AI magic happens, read on.

In this article, we look at how ChatGPT and other generative AI tools are reshaping the business world and bringing powerful capabilities to nontechnical users.

Systems for artificial intelligence must be understood by users and those affected by AI use. Actions in two areas can maximize AI’s benefits and minimize risk.

The investment was rumored to be $10 billion.

AI tools can help executives avoid biases in decisions, pull insights out of oceans of data, and make strategic choices more quickly. And that’s just the beginning.

The 2022 McKinsey Global Survey on AI shows the expansion of the technology’s business adoption over the last five years and provides insights on tech talent.

What exactly is generative AI and how does it work? This infographic, created using AI tools such as Midjourney and ChatGPT, explains it all.