Martech

Explore five overlooked myths, from data biases to brand identity risks, and discover how businesses can strike the right balance.

The future of AI-generated content and its impact on creators hangs in the balance. The core issues are whether training AI on copyrighted material is infringement, and if AI-created content can be copyrighted.

Most businesses treat CRM as a service function rather than a growth driver, says Karan Gupta, Founder at MarTech Nexus. When done right, CRM can drive incremental CLV and revenue growth. But when done poorly—or merely as a “campaign factory”— the impact is minimal or hard to measure.

AI-driven voice modification and accent neutralisation offer clarity but raise concerns about bias and transparency. Should brands disclose AI-modified voice, and what are the long-term effects on trust and diversity?

Tracking engagement doesn’t suffice—brands must dive further into which users stay, what keeps them around, and where potential customers drop off before converting.

With 48% of marketers using 11 or more digital channels, the key to success lies in prioritisation, data-driven optimisation, and seamless cross-channel integration.

With AI being a core resource now, deliverable pricing must replace hourly pricing for the better.

Hyper-personalisation is often seen as the ultimate key to customer engagement, but many discussions focus on the same surface-level challenges.

The 2025 LEAP tech conference set a new record with over $42.4B in investments, driving advancements in AI, data centres, and digital infrastructure.

Focus on AI as a collaborative tool, not a replacement, says Ross Symons, Chief Creative Officer at ZenRobot. He shares his experience of training creatives and marketers to combine human intuition, strategic thinking, and artistic skills with AI’s efficiency.