Since the dawn of computing the number one objective has been to turn data into information faster than a human. The explosion of available data in the last 10 years has made this challenge exponentially more difficult, especially combined with the typical communication gap between the people how need to make the operational decisions (i.e. line of business executives) and the teams (i.e. information technology executives) that has to manage the technical infrastructure to capture, contextualize and present that data in formats understandable to nontechnical audiences.
To meet this ongoing, seemingly insatiable, demand for more information on historic, current and modeled future states has given rise to numerous roles in the enterprise, from early database architects to business intelligence data analytics and data scientists to now AI Councils.
So, if data is the new currency, then the ability to manage that data effectively meeting LOB requirements in a timely fashion sets the requirements bar even higher for IT teams. This is where emerging enterprise data intelligence platforms enter the equation.
Put simply, an enterprise data intelligence platform is more marketing-savvy way of referring to a data science platform which is a collection of generative AI, machine learning and business intelligence technologies with the express purpose of providing dashboards and reports on past, current and potential future states of your business operations, productivity, and ultimately profitability.
Historically these solutions have required highly specialized resources to understand and tame these highly specialized tools. And given the average technical debt these resources face, the time lag for delivery of results often lagged behind the impact window for response.
Why wait for specialized resources like data scientists and data analysts to catch up with LOB requirements when you can empower those LOB subject matter experts to bridge the gap between data and domain expertise to get faster and more insightful insights than normal? Or even worse why trust that nothing will be lost in translation between the technical expert and the domain expert when scoping out the next business initiative?
New techniques with generative AI (GenAI) provide for natural language processing of queries direct to the large language model (LLM) and bypass the need for dedicated resources or tools to generate the information and analytics necessary for LOB leaders to make timely effective decisions.
Furthermore, adding reinforcement learning to your AI transformation project brings a natural evolution of machine learning. Put simply, reinforcement learning is based on the science of decision making and optimizes behaviors of the machine and the underlying models. The heart of reinforcement learning is learning through iterations at the intersection of value-based processes, model-based processes, and policy-based processes.
The true benefits of reinforcement learning is the ability to address a wider range of problems that are beyond standard machine learning’s abilities. Where machine learning excels at subtasks, reinforcement learning can address big picture problems with and without context which means it is optimal for dynamic or uncertain environments.
A company’s bottom line profitability is almost always dictated by the speed and efficiency of LOB decisions and these decisions are predicated on the access to data and understanding of the information required for proper analysis and modeling of potential future states. By disintermediating the communication and time gaps between the domain experts and the technology requirements, you can get ahead of the competitive curve. This is where an enterprise data intelligence platform powered by a decision intelligent cloud steps up to meet the current challenges.
Open source, no-code intelligent cloud solutions like UBIX can deliver on the promise of domain directed development to supercharge the quality of reporting and analysis with a decision intelligent cloud. 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 also frees data scientists and data analysts to address innovations instead of generating more superfluous reports.
Understanding the nuances of an enterprise data intelligence platform with a decision intelligent cloud and how a no code solution can deliver on the promise of bridging the communication gap between LOB and IT has never been easier. Download our free eBook titled “Solving the Problem of Data and Decision Making” to help better understand the details of emerging AI concepts and how to ensure digital transformation and business-led AI success. Or if you can spare 22 minutes for a mini–AI Readiness Workshop, you can contact one of our AI experts today.