We live in an age where data has become ubiquitous, to the point where it seems everyone today is drowning in data. So, it should be no surprise that turning data into knowledge for business leaders requires highly specialized tools and specialists. While data engineers and data scientists have impressive coding and other technical skills that enable them to process large volumes of data, there is a vast chasm between technical skills and meeting business requirements. Given most data scientists have come up through the academic ranks, it becomes a game of 20 questions for business leaders to tease out their daily realities from the complexities of the generated reports and dashboards.
As you can imagine, this 20 questions game being played between business leaders and specialists becomes time consuming and extremely error prone. It is simply too hard to tease out useful business insights from data science output and even most reports and dashboards designed for business users. This gives rise to a crisis of expectation for the time lag between business leaders needing to make daily decisions dependent on ready access to the right information in the right format and the amount of effort, resources and mind reading required by the data analytics teams to generate the requested results. This is the heart of justification for a data democratization project.
Unlocking legacy data is a key to data democratization which in turn will lead to market and competitive domination. In order to maximize chances of success, you will require a new understanding of data management and specifically who should have access and under what circumstances in order to satisfy corporate policy, privacy and regulatory requirements. The ultimate solution for data democratization in a manner that is still controlled by IT is the introduction a business-led AI transformation initiative.
This challenge has given rise to the emergence of data intelligence platforms and business-led AI transformation. Specifically addressing the dynamic requirements of the business leaders with GenAI and emerging techniques like Reinforcement Learning while taming the beast of petabytes of internal and externally available data that often lacks compatible formats or context.
Databricks and UBIX serve distinct but complementary roles in enterprise data analytics and AI. While Databricks provides IT-managed data infrastructure, UBIX democratizes AI across the organization. While some functionalities may overlap, UBIX is purpose-built for business users and bridges the gap between IT’s data capabilities and the organization’s AI-driven decision-making needs.
Start with Databricks structures to prepare enterprise data then leverage UBIX’s turnkey, no-code AI platform to turn that data into real-time AI-powered insights that drive business outcomes. Together, they form the ultimate enterprise AI solution—one that serves both IT and business teams with the following measurable benefits:
One of the biggest challenges that enterprises struggle with is the complexity of provisioning and managing an AI cloud infrastructure. Databricks requires scripting and custom configurations, creating barriers to rapid AI deployment. UBIX eliminates this complexity with turnkey, infrastructure as code, allowing organizations to provision AI environments quickly and dynamically scale compute and storage resources without technical expertise.
Emerging open source, no-code intelligent cloud solutions like UBIX can deliver on the promise of a data intelligence cloud to supercharge the quality of reporting and advanced analytics while accommodating enterprise-grade security and regulatory compliance. It starts with a comprehensive access to all available data. By consuming all on-premise infrastructure, cloud-based infrastructure and cloud application datasets directly, UBIX makes the integration seamless and ensures that your existing data assets are fully utilized by LOB with a simple natural language query. The good news is that you can realize results in days, not months or even years. This is what also frees data scientists and data analysts to address innovations instead of generating more superfluous reports.
Realizing the promise of a data intelligence cloud starts with an understanding of the realities (as opposed to the hype) of emerging GenAI + Reinforcement Learning with a no code solution that delivers on the promise of bridging the communication gap between the average business executive and the average technical/IT resource. Download our free eBook titled “Solving the Problem of Data and Decision Making” to help better understand the nuances of emerging AI concepts and technologies and offer a set of best practices for consideration to ensure digital transformation and business-led AI success. Or if you can spare 22 minutes for a mini–2025 Data Intelligence Cloud Workshop, you can contact one of our experts today.