Spring 2025
Features
Accelerating AI Development With Synthetic Data
Jelani Harper //
22 Apr 2025
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
Phillip Britt //
28 Apr 2025
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
Dobrica Savic //
11 Jun 2025
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
Brian Sathianathan, Chief Technology Officer and Co-Founder, iterate.ai //
02 May 2025
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
Nick Magnuson, Head of AI at Qlik //
18 Apr 2025
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.