EnterpriseTalk

06/19/2026

AI is transforming every stage of the employee journey, from recruitment and onboarding to development, engagement, and retention.

But as organizations embrace AI-driven employee experiences, important questions remain: How do we maintain trust? Protect sensitive data? Minimize bias? Preserve meaningful human connections?

Explore how AI is reshaping the employee lifecycle, the benefits it brings, and the challenges employers must address to create a truly people-centric workplace. Read here: https://bit.ly/4uJQwdu

As AI is being integrated into the employee lifecycle, read about the benefits, concerns, and key action areas for enterprises.

06/16/2026

Most enterprises are investing in AI.
Few can clearly measure the ROI.

What separates successful AI adoption from expensive experimentation?

Tune in as Lexi Reese, CEO and Co-Founder of Lanai, in conversation with our Editor-in-Chief and host Radhika Mukherjee, breaks down how organizations can unlock measurable value through human-AI collaboration, smarter workflows, and a customer-first approach to transformation.

Watch the full video here: https://bit.ly/4avlxuw

06/11/2026

As artificial intelligence reshapes industries and automates increasingly complex tasks, an important question emerges:

Is our current tax system prepared for an AI-driven economy?

In this insightful guest post, Andrew Pery, AI Ethics Evangelist at ABBYY, explores the growing implications of AI and robotics on tax policy, public finance, and economic sustainability. As AI-enabled automation becomes more widespread and cost-effective, governments and policymakers may need to rethink the fiscal frameworks that support social programs, workforce transitions, and long-term economic growth.

Read the full article: https://bit.ly/4oEWGdP

06/09/2026

Enterprise AI is no longer just about innovation; it's about trust, reliability, and governance.

In this insightful guest blog, Les Rechan, CEO of Mindbridge, shares why the future of AI in finance depends on more than powerful algorithms. As organizations move toward autonomous operations, the real challenge is ensuring transparency, auditability, and independent oversight.

From the early days of AI skepticism to today's demand for explainable systems, this article explores what leaders must prioritize to build AI that can truly be trusted at scale.

Read more: https://bit.ly/4e8Uhmq

04/15/2026

Most CX strategies don’t fail because of bad intent, they fail because of broken context.
We’re still seeing enterprises optimize for speed while customers are asking for continuity. Big difference.
John Kelleher breaks it down simply:
If your systems don’t remember the customer, your customers won’t remember you.
The shift is clear, from transactions → relationships, from responses → relevance.
And the leaders who get this right? They’re not just improving CX.
They’re quietly building loyalty engines that competitors can’t replicate.

04/13/2026

Speed isn’t the differentiator anymore; it’s the bare minimum.

In 2026, 81% of CX leaders say instant response is expected, and 85% agree customers will walk if issues aren’t resolved on the first interaction.
That’s the reality.

But here’s where most brands get it wrong: speed without context is just noise.

Customers don’t just want fast answers; they want to feel understood. They expect brands to remember who they are and what they’ve experienced, and to respond with relevance, empathy, and precision.

That’s where contextual intelligence comes in.

John Kelleher, VP UKI & MEA at Zendesk, breaks down why the future of CX isn’t just real-time, it’s memory-driven.

04/09/2026

AI in healthcare doesn’t fail because of bad tech.
It fails when teams don’t align.
As Dr. Thomas Kelly points out, safety comes from clinicians, technologists, and regulators working together, not in silos.
Because in the real world,
“almost safe” isn’t safe enough.
More nuanced insights in the full interview.
https://enterprisetalk.com/interview/risks-and-regulations-of-ai-in-healthcare

03/31/2026

AI in the enterprise world isn’t just about flashy pilots or chatbots anymore; it’s about making better decisions that actually matter. 💡

Jamie Hutton, CTO at Quantexa, dives into why decision intelligence is the next big step for AI: helping organizations understand which decisions improve outcomes, govern them, and measure real impact.

This is the kind of insight boards are now demanding.Take a closer look here: https://enterprisetalk.com/guest-author/enterprise-ai-decision-intelligence

03/25/2026

Most companies don’t fail to grow.

They stall.

And as Andreas Adamides, CEO at Helm, points out—the reason is structural.
What gets you to £10M often blocks you from £100M.

Founder-led decisions.
Centralized control.
Reactive scaling.

It works—until it doesn’t.
That’s the ceiling many mid-sized companies hit.

This piece breaks down where that inflection point shows up—and what it takes to move past it.

03/12/2026

Some careers aren’t just built — they’re carved out in industries that weren’t designed with you in mind.

In this featured conversation, Mei Dent and Karin Fink get candid about what it really takes to grow and lead in male-dominated industries.

From building the right networks to the often-overlooked role of sponsorship, they share why support systems are essential for retaining and empowering women in high-pressure sectors. The discussion also dives into leading through constant change while still creating environments where teams feel supported, heard, and ready to move forward.

A thoughtful look at leadership, resilience, and what it takes to thrive in fast-paced industries