Vikrant Shetty

AI Workflow Security at Risk After RCE Discovery

Why AI workflows are at risk after critical RCE discovery

April 22, 2026

 Itzik Swissa, Country Manager ANZ  & Senior Director at JFrog Q1: What has JFrog uncovered in n8n and why should ANZ organisations pay attention? JFrog’s security research team identified two serious vulnerabilities in n8n, a widely used AI workflow automation platform. Tracked as CVE-2026-1470 (rated 9.9 Critical) and CVE-2026-0863 (rated 8.5 High), these flaws allow authenticated…

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Omnichannel Advertising Fragmentation Limits ROI

Creative Over Signals: Rethinking Attention as Performance Across Omnichannel Advertising

April 20, 2026

Author: Jonathan Frohilinger, Founder and CEO of Big Happy How is fragmentation across DOOH, mobile, and retail media impacting marketers today? Fragmentation across DOOH, mobile, and retail media has created a more complex, noisy landscape, with countless data signals and platforms all competing to drive performance. But marketers are starting to realize that signals alone…

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Leadership Lessons from Grief and Growth

Grief, Grit, and Growth – What Business Leaders Can Learn from Life’s Defining Moments

April 16, 2026

Introduction Laura Briel Sullivan, a former bank Chief Marketing Officer, turned author of Sailing with Angels: A Poetic Tale of Grief and Grace, brings a unique perspective shaped by more than 25 years in financial services and a personal journey into storytelling. Her work explores how life transitions caregiving, loss, and career reinventions and how they…

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First-Party Data Is an Untapped Revenue Engine

The Hidden Revenue Sitting in Your First-Party Data

April 15, 2026

James Ramelli, Partner, Fyllo Where are brands getting first-party data strategy wrong right now? Most brands think they have a data problem. They don’t. They have an activation problem. The industry is focused on signal loss and shrinking addressability, but at the same time, brands are sitting on valuable, consented data they’re not using. Many…

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Specialized AI Is Transforming Enterprise Use

From Hype to Precision: The Rise of Specialized AI in the Enterpriseq

April 13, 2026

There’s a clear shift from general-purpose AI to more specialized enterprise models. What’s driving this transition, particularly in the context of language and translation?  We’re seeing a natural maturity curve in AI. General-purpose models have proven what’s possible, but they weren’t designed for high-stakes enterprise use. In language and translation, the gap becomes obvious very…

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Unified Data Platforms Replace Martech Stacks

From Fragmented Martech Stacks to Unified Data Platforms as a foundation for AI

April 13, 2026

Q1. The industry is clearly moving away from fragmented martech stacks. What are the main limitations you’ve observed with traditional setups involving DMPs, CDPs, and data clean rooms? These tools were never designed to work together; they were built to solve different problems for different segments of the media industry at different points in time….

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