By Christopher Frankland | InsurTech360 & BionicAgent.com When Kasey Roh talks about Upstage, there’s an unmistakable sense of purpose – a belief that enterprise AI should move beyond hype into measurable impact. From its early days in Seoul to its growing…
How can I get started with Artificial Intelligence for my business?
For many insurance agencies, brokers, and MGAs, knowing where to begin can feel overwhelming. The good news? You don’t need a data science team or a Silicon Valley budget to start. You just need a strategy that aligns people, process, technology,…
The Future of AI: Emerging Trends and Technologies to Watch
Artificial Intelligence is no longer a future concept — it’s a present reality shaping the way we live, work, and innovate. Yet, the real excitement lies in what’s next. From agentic AI to autonomous workflows, the coming wave of AI innovation…
Exploring Deep Learning: Unleashing the Power of Neural Networks
Artificial Intelligence has transformed from a buzzword to a backbone of modern innovation — and at its core lies deep learning, the powerful branch of AI that enables machines to learn, reason, and make predictions much like the human brain. Whether…
How Natural Language Processing is revolutionizing Text Analysis
Artificial Intelligence has come a long way from recognizing images and predicting numbers.Today, it’s learning to understand the most human thing of all — language. Natural Language Processing (NLP) is the branch of AI that allows machines to read, interpret, and…
Demystifying Machine Learning: Understanding the Basics
Artificial Intelligence may get all the headlines, but it’s Machine Learning (ML) that powers much of the intelligence behind the curtain.From predicting customer churn to automating claims triage, machine learning is the quiet engine driving today’s most advanced insurance systems. Yet…
Is Artificial Intelligence accessible to businesses of all sizes
For years, Artificial Intelligence felt like something reserved for carriers with billion-dollar budgets and armies of data scientists. The rest of the industry — agencies, MGAs, TPAs, and service providers — often looked at AI from the sidelines, wondering if it…