In today's rapidly evolving business landscape, AI strategies are quickly becoming the cornerstone of digital transformation. However, in the current rush to keep up with competitors, hypes and buzzwords, how many of these strategies will really succeed? How many will be written off as a huge waste of resource and money? Before you go any further, maybe it is time to think again.
Customer-facing agentic applications (most often chatbots) offer companies opportunities to effectively engage with a much higher percentage of their users, at scale, to identify what those users want, provide a better service and grow customer value. However, the vast majority of gen AI powered applications know nothing about the customer engaging with them, except what that customer has explicitly revealed in the chat thread.
With the proliferation of data touchpoints and advanced analytics capabilities through the help of Gen AI, businesses now have unprecedented opportunities to establish holistic personalised loyalty experiences for their customers. Leveraging customer data, like such, can drive long-term returns however can soon lead to precarious compliance territory.
Meet in an informal roundtable with peers from your industry to discuss some of the hottest trends and industry-specific challenges.
Facing an overwhelming number of customer inquiries and overburdened support teams, a leading financial institution needed to enhance operational efficiency and improve customer satisfaction. The key to success was deploying a Generative AI Chatbot that, within six months, significantly reduced agent workload, improved response times, and elevated service quality. Discover how the institution, in partnership with Xebia, scaled its AI-driven solution, cutting agent workload by 20% and delivering measurable business impact.
Moving the company along the data maturity curve, fast and cost effectively, is a goal that unites CDOs across all industries. While every venture will be faced with its own set of legacy challenges, budget restraints, structural and cultural hurdles, accelerating data maturity is imperative to be able to successfully adopt innovative technologies, including Gen AI. hear how the successes and failures of others can help fast track your journey.
As organisations modernise and grapple with ever-increasing data volumes and complexity, data silos likely emerge as a result. This can significantly hinder innovation, efficiency and competitive growth. Graph databases are being utilised by organisations across industries to dismantle these barriers, transforming fragmented data into a cohesive and dynamic network of actionable insights.
Speed “Data-ing” - Meet new delegates and learn about their current data challenges and successes.
In 2025, the data modern data stack, once categorised by a collection of specialised, best-of-breed tools, is facing new challenges and opportunities. On one side, we see the rise of all-in-one platforms promising seamless integration and simplified management. On the other, specialised vendors continue to innovate, offering cutting-edge solutions for specific data needs. This evolution raises the question for data leaders: Should you opt for integrated platforms that offer end-to-end solutions, or continue building your stack with specialised tools?
Given the disputed and variable responsibilities of a CDO and the growing pressure for ‘Data’ to merge into other business functions, proving your value and effectiveness is imperative to strategic success and gaining favour in the boardroom. Discuss best practices for establishing KPIs that are suitable to both your business objectives and data strategy, as well as how to set motivating and measurable KPIs to quantify your impact on the bottom line.
Meet in an informal roundtable with peers from your industry to discuss some of the hottest trends and industry-specific challenges.
As many organisations strive towards sustainability and carbon net-zero goals, data and analytics play a crucial role in driving these initiatives. CDOs are uniquely positioned to harness the harness the power of data to inform, measure and accelerate their organisation’s journey towards environmental responsibility.