How AI Is Changing Email Segmentation in 2026
AI-driven email segmentation goes beyond job title and industry. Learn how teams are using behavioral data and firmographic signals to build smarter micro-segments that actually convert.
Using AI to Detect Ad Fatigue and Automate Creative Rotation
Ad fatigue is the gradual decline in ad performance that occurs when the same audience sees the same ad too many times. As viewers become desensitized to repetitive messaging, click-through …
Open Source Quantum AI Is Here: Everything You Need to Know About NVIDIA Ising
Quantum AI models are a new category of artificial intelligence tools purpose-built to solve the unique challenges of quantum computing, such as processor calibration and error correction. On April 14, …
Apple’s AI Glasses Are Coming to Take on Meta Ray-Bans: What You Need to Know
Apple’s AI smart glasses are a new category of wearable device from Apple that will integrate cameras, microphones, speakers, and an upgraded Siri voice assistant into a pair of premium, …
AI and the Buying Committee: How to Market to 6 Stakeholders at Once
Deals no longer hinge on one decision-maker. Learn how AI helps you map, target, and engage every stakeholder in a multi-person buying committee, so your deals don’t stall.
Using AI to Predict and Prevent Customer Churn
Customer churn, sometimes called customer attrition, is the rate at which customers stop doing business with a company over a given period of time. It’s one of the most critical …
Why Your AI Infrastructure Could Be Your Biggest Sustainability Risk in 2026
Enterprise AI infrastructure is becoming one of the fastest-growing contributors to corporate energy consumption. According to the International Energy Agency (IEA), global data center electricity demand is projected to nearly double to around 945 TWh by 2030. AI-accelerated servers are growing at 30% annually – far outpacing conventional infrastructure. For enterprises scaling AI from pilot to production in 2026, this translates into real reputational, regulatory, and financial risk. Organizations that fail to account for the energy footprint of their AI infrastructure face investor scrutiny, evolving disclosure mandates, and the very real possibility that their AI ambitions will undermine their sustainability pledges.
Using AI to Build Smarter Audience Segments for Paid Campaigns
Audience segmentation is the process of dividing your potential customers into distinct groups based on shared characteristics like demographics, behaviors, interests, and purchase intent, so you can serve each group …
Amazon Trainium Chips for Sale? Jassy Hints at Third-Party Sales as Demand Soars
Custom AI chips, also known as application-specific integrated circuits (ASICs), are processors designed from the ground up to handle artificial intelligence workloads like training large language models and running inference …
The First-Party Data Playbook: How AI Turns What You Already Own Into Your Biggest Competitive Advantage
Third-party cookies are disappearing and borrowed data never told the whole story. Here’s how AI helps marketers activate first-party data to generate better leads, smarter targeting, and real revenue results.
