Every organization has been dealing with the challenge of data management since the inception of computing. As all computing is based on the data available, data management practices handled the critical processes of collecting, storing, securing, processing and eventual disposal that data. Data intelligence however is focused on the contextualization, correlation and understanding of that data so that business executives can correctly interpret information and knowledge in order to make better (timelier) decisions.
Nature abhors a vacuum, so for decades, organizations have relied on outdated tools and a patchwork of workarounds to empower their employees to gain access to company data. Workarounds that often introduce more problems than solutions, where new innovations can rise to the challenge instead.
Tapping into the power of data has historically been the responsibility of highly specialized teams of data scientists and data analysts. Unfortunately, this puts the immediate needs of business leaders behind the prioritization and time required to mobilize these resources to specific projects. As you can imagine, this also give rise to the natural tension between the business and technical sides of the organization which is magnified by the inherent communication gaps as each side comes at the same problem from different perspectives.
Several issues pop up that have a direct impact on how to achieve true data intelligence:
In order to address these issues new approaches are emerging to deliver the knowledge necessary while reducing the technical overhead required.
While it may sound like a cliché, the solution to that rises to the challenges stated above is a Data Intelligence Cloud for AI. Specifically, a unified platform that eliminates silos and integrates with existing infrastructure and 3rd party data, combining business and IT to remain secure and competitive. Leveraging no-code AI also empowers domain experts to build their own ML-powered solutions and uncover actionable insights while enhance data access and visibility, democratizing AI to offload mundane tasks.
A Data Intelligence Cloud for AI fosters collaboration and innovation across all roles, and empowers business users, IT teams, and analysts to democratize data and AI by delivering AI-powered analytics 50x faster. This will unlock the full potential of your data without heavy reliance on data scientists or specialized tools. It is also designed to drive measurable outcomes, such as enhancing customer experience, reducing operating costs, boosting revenue, and ensuring compliance.
The benefits of implement a Data Intelligence Cloud for AI are significant and measurable:
Emerging open source, no-code intelligent cloud solutions like UBIX can deliver on the promise of a data intelligence cloud for AI to supercharge the quality of reporting and analysis. 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. This is what also frees data scientists and data analysts to address innovations instead of generating more superfluous reports.
UBIX customers have realized a measurable ROI by empowering an intelligent business:
Realizing the promise of a data intelligence cloud for AI starts with an understanding of the realities (as opposed to the hype) of emerging GenAI 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 “5 steps to AI Business Transformation Success” to help better understand the nuance of emerging GenAI business concepts, and offer details on the 5 steps to ensure digital transformation success. Or if you can spare 22 minutes for a mini–2025 Data Intelligence Cloud for AI Workshop, you can contact one of our experts today.