How LatentView Builds a Culture of Data and AI Fluency

A Boston Consulting Group report reveals that one in three companies is committing at least $25 million to AI. This substantial investment reflects a broader business transformation: most employees now use data to optimize nearly every aspect of their work, and AI capabilities are becoming a competitive advantage. The organizations that will thrive are those where leaders and their teams can confidently interpret insights, and understand how data and AI can solve crucial business problems.

At LatentView Analytics, we’ve learned that building data and AI literacy isn’t just about launching training programs. Instead, it’s about creating a comprehensive strategy that scales across the organization, fostering a culture where data and AI capabilities are deeply embedded in how people work and think.

Linking Literacy To Business Outcomes

The foundation of any successful literacy strategy is business alignment. At LatentView, we define the outcomes that should drive faster decision-making, competitive innovation, or responsible AI use and tie every learning effort back to strategic priorities. This vision is communicated from the top down so employees recognize that literacy is not optional, but fundamental to how the organization will operate in the future. 

Tailored Learning Approach 

We create personalized learning paths. For instance, executives learn strategy and governance, while frontline teams gain practical skills needed for their roles. These learning paths are integrated into day-to-day workflows rather than being treated as separate initiatives.

Our onboarding approach demonstrates this in action. Our AI-powered Analytics Bootcamp creates a fully personalized learning environment. We start with diagnostic assessments that map each new hire’s proficiency in key technical skills like SQL, Python, Excel, and Statistics. The AI dynamically adjusts questions based on individual responses to accurately assess skills.

Based on assessment results, each learner is placed into a tailored proficiency tier with a customized curriculum. Those not meeting the benchmark receive specific, actionable recommendations to close their skill gaps, ensuring they are prepared for future opportunities.

This system isn’t just efficient; it sends a cultural message from day one that at LatentView, learning is continuous and personal growth is non-negotiable.

AI-Powered Personalization

We utilize AI to create personalized learning paths through collaboration with external platforms, crafting targeted journeys for each employee based on their proficiency, interests, and career goals. This makes learning self-directed, allowing individuals to progress at their own pace while focusing on what’s most relevant to them.

One of our most impactful initiatives involved achieving Databricks Elite Status by upskilling over 200 employees in three months. We used AI-driven tools to design realistic problem statements aligned to various complexity levels, creating simulations that mirrored actual client scenarios. As a result, 30% of those trained have led high-impact projects, contributing to a 15% increase in client acquisition.

Culture Shift Starts At The Top

Creating a culture of data and AI fluency starts at the top. Research from Kearney shows that nearly 90% of companies that successfully integrated GenAI attribute their readiness to senior leadership’s understanding of the technology. This foundational leadership commitment fosters a culture where employees are receptive to change and ensures sufficient resources are allocated for building data and AI literacy.

At LatentView, our experience shows that GenAI readiness hinges on decision-making, not just technology. The path starts with a leadership decision that resonates across the organization, rather than with a platform. Leaders are crucial here, serving as both collaborators and catalysts by setting clear mandates and fostering accountable teams.

Learning As a Part of Work

A cultural shift happens when learning becomes indistinguishable from work itself. That’s the philosophy behind our AI-driven blended learning program for first-time managers, Rise.

Rise combines traditional virtual and in-person sessions with AI-powered behavioral simulations. These simulations are embedded as pre- and post-work, so managers can practice critical skills like giving feedback, stakeholder engagement, strategic planning, and decision-making in safe, immersive environments.

The AI platform provides real-time, nuanced feedback, helping participants reflect, retry, and improve without real-world consequences. This builds confidence and accelerates skill mastery in ways traditional methods cannot. The gamified nature of the program encourages repeated attempts and continuous improvement, making learning both engaging and inseparable from everyday work.

We’ve moved beyond treating skills as isolated checkboxes, instead viewing capabilities as combinations of foundational and applied skills. For instance, Business Intelligence competency requires proficiency in SQL and Excel as the base, while the ability to create business value through visualization tools demonstrates applied capability.

The Way Forward

At LatentView, we’ve learned that the future belongs to organizations that don’t just adapt to AI-driven change, but actively drive it. The question isn’t whether your organization can deploy new technology; it’s whether you’re prepared to lead with it, transform with it, and commit to the organizational change it requires.

The time to build that foundation is now, before the future becomes the past.