Teams don’t just need coders; they need business drivers who grasp run-costs, vendor trade-offs, and how value lands with the board. Great outcomes come from data leaders who speak P&L and business strategy, but can also design, build, and ship dependable systems. "Hybrid" talent is however hard to find. Do you hire? Do you develop internally? If internally, do you upskill your business analysts, or your data team? Hiring often surfaces strong technicians who can learn the business faster than the reverse, yet assessing EQ and “explain-the-why” skills remains a blind spot. Developing the next generation of data leaders, entails both the hard and soft skills needed to survive today's tough job market. The talent that outpaces AI replacement, will be the data professionals who not only crunch numbers but also share a compelling story and drive business value.
Real-time personalization is exciting in theory but brutal in practice. Delivering data-driven personalization to millions of customers is the holy grail of customer experience – and revenue too. But how do you do it at scale, without s
As AI advances and replaces many of data leaders’ admin work, the CDO role is shifting from stewarding data to shaping business results. It also signals a fear in the job security of data leaders. 2025 was a brutal year for CDOs, with organizations downgrading the influence of data leaders. Influence and authority doesn’t come from producing more reports, but from setting a cadence of visible wins that compound into credibility – and ultimately a seat at the board. The skills you’re being measured on today are change management, storytelling, and business acumen. CDO influence only grows when projects move the needle, projects demonstrate real value, and wins are clearly defined -not when reports accumulate.
Two vendors, same brief and business challenge. Watch claims hold up under end-user questioning on timelines, terms and outcomes. Take the scorecard home.
Not all data leaders come from the same backdrop, and there are ultimately several ways to becoming a data leader. Business acumen, technical data skills, and leadership skills all matter equally. We've invited a panel of CDOs, can you guess their background?
Models drift, hallucinate, or rack up hidden costs once live. This roundtable explores how to set SLOs for accuracy, latency, and spend, monitor for drift, and act quickly without killing trust. Peers will share lightweight playbooks and metrics that keep AI predictable, reliable, and defensible long after launch.
Sharing data across borders and industries is essential for innovation but is also a legal and regulatory minefield. This roundtable explores the challenges of global data sharing and provides practical guidance on how to navigate the complex web of regulations. You'll learn how to build a data-sharing framework that is both compliant and effective.
Agentic AI is the next big thing, but it's hard to separate the hype from the reality. This roundtable provides a no-nonsense look at the current state of agentic AI, exploring what's real, what's hype, and what's next. You'll get a clear understanding of the technology and its potential applications, and learn how to make informed decisions about where to invest.
Legacy systems are the bane of many data leaders' existence. They're often inefficient, unreliable, and a major source of data silos. This roundtable explores practical strategies for overcoming the legacy challenge, from modernizing your existing systems to migrating to a new platform. You'll learn how to defragment your data silos and build a modern data architecture that is fit for the future.
AI invites a novel type of scrutiny beyond traditional data governance: customers, regulators, and even employees now question model inputs, training rights, and downstream use. Sensitive data mishandled can stall projects, invite fines, or trigger public backlash. Getting this right however, builds trust, speeds approvals, and strengthens reputation instead. The challenge is balancing safeguards and velocity: plain-language rules, small visible pilots, and controls tuned to AI’s risks. When governance feels more like a practical guideline instead of a paralysing blocker, compliance isn’t another hurdle - it becomes a competitive advantage to shout about.
Your data is only as valuable as the story you can tell with it. To win budget and buy-in, you must translate complex insights into a compelling narrative that resonates with a non-technical, C-suite audience, Board, and other stakeholders. Data teams often fail to deliver the strategic storytelling boards love. Boards fund outcomes they understand. Roles are being created to bridge this communication gap, regaining trust, budget, and influence to data leaders. No need to overcomplicate complex data - simple before/after, honest baselines, and finance KPIs turn noise into approval.
Data commercialization is a huge opportunity – it’s also posits huge risks. How do you balance the desire to make money with the duty to protect consumer privacy and maintain trust? Commercialization fails if consent fails. The real challenge is designing offers people actively accept, with transparent controls and clear proof for the board. Done well, consent, and governance isn’t friction; it’s a green light for monetization that scales.
Personalization is a key driver of customer engagement and loyalty, but it's
not a one-size-fits-all solution. What resonates in one region or market can
flop in another. This "personalization station" will bring together leaders from
across different industries to share insights and experiences in
personalization. You'll learn what's working, what's not, and how to adapt
best practices from other industries to your own unique context.
• Discover how to separate global patterns from local truths.
• Compare how different sectors approach personalisation and uncover tactics you can adapt to your own customers.
• Learn how to measure real customer uplift, not vanity metrics.
In today's economy, every penny counts. But that doesn't mean you have to sacrifice innovation. Thin margins force tough decisions – what this means in 2026 is that every investment must prove fast, visible impact. Funding flows to fast payback bets while prestige projects are deferred. So let’s talk about frugal wins: pilots that run lean, contracts that flex, and processes you can replace without tears. Success is about securing this year’s numbers while keeping next year’s options open.