Spring 2025

Features

Accelerating AI Development With Synthetic Data

Synthetic data applications are at the intersection of some of the most meaningful developments in enterprise AI. Synthetic data techniques represent some of the earliest manifestations of generative AI and predate the widespread adoption of language models. In fact, employing synthetic data is one of the foremost methods of building—and fine-tuning—language models and foundation models in general.

AI Enhances Customer Service in Several Ways

Although the initial seeds of generative AI (GenAI) were planted in the 1960s, for the most part it didn't come into full bloom until the introduction of ChatGPT in November 2022. Before that, GenAI had all but the most nascent use in business. As the technology entered the public consciousness, it spread across industries from entertainment to manufacturing to healthcare for a wide variety of uses, including customer service.

The Homepage of the Future: Evolution, AI, and the End of Navigation

The evolution of web homepages reflects the internet's transformation during the past 3 decades. From simple, text-based pages to sophisticated, AI-driven interfaces, homepages have adapted to meet changing user needs and technological advancements.

Industry Voices

From Prompt Attacks to Data Poisoning: Navigating LLM Security Challenges

In enterprises' frenzied rush to put large language models (LLMs) to work and get out to market with new applications, security has (perhaps understandably, at least initially) taken a backseat. But attackers are increasingly testing the security of LLM deployments, which are vulnerable to traditional cybersecurity risks such as system compromises and data breaches.

The New Enterprise Frontier: AI Reasoning and Agentic AI

While we sit in an enterprise culture enraptured by AI, it is hard not to think about what's next. With some leaders comparing the early dawn of AI to the birth of the internet, there is significant hope that AI will continue to grow and benefit business and society through future innovations.

AI Reflections

Who Thought of Making Intelligence Artificial?

Certain archetypes of quasi-thinking robots institutionally reside in the collective consciousness of most Americans. All forms of art affect the memories of people so that pictures persist through their entire lives, even if the source is trite or visibly silly. Comedy, cartoons, great movies, and certain moments in the world of sports result in iconic notions and lasting images.

Crossing the AI Chasm

From Scarcity to Abundance Economics

Geoffrey Moore's 1991 concept of the technology "chasm" shaped 3 decades of software development and marketing strategy, expressed in his book Crossing the Chasm: Marking and Selling Disruptive Products to Mainstream Customers.

Legal Intelligence

The Law’s Human Guardrails in the AI Era

As AI transforms the legal landscape, a tension emerges between technological possibility and professional responsibility. In law firms across the country, partners and associates navigate a new reality in which AI can analyze thousands of documents in minutes but might miss the subtle nuances that an experienced attorney would catch immediately.