Optimizing Business-Led AI Transformation And Better Decisions With New Advances in GenAI + Reinforcement Learning

It should be no surprise that the number one issue for CEOs surveyed is “Growth” and that “AI” will by far have the single most significant impact on their industry in the next three years. So, it should also not be a surprise to realize that growth is a direct result of the effectiveness and timing of business decisions daily.

These daily decisions that impact productivity, waste, compliance, growth, and profitability are based on the data available to the business leaders responsible for their area of operation. Unfortunately, they don’t have access to all the data they need, in a format they can use and especially in the timeframe required to have impact on their decisions. This is where new advances in GenAI and Reinforcement learning are stepping in to fill the gap. But is this a business-led or technology-led proposition?

Business-Led Versus Technology-Led AI Transformation

Most companies have started tackling the AI transformation challenge from a technology perspective. However, technical debt realities have companies pouring resources into patching problems caused by outdated systems rather than investing in true innovation. For decades, organizations have approached these challenges piecemeal: manual checks, endless training to avoid mistakes, and siloed systems cobbled together to make some semblance of functionality. But these measures are neither sustainable nor effective in today’s world of dynamic regulations and increasing cybersecurity threats.

This is why business-led AI transformation initiatives are starting to realize far greater results. The bottom-line goal is to achieve actionable insights and automation ensuring individuals throughout your organization get the information they need in a human-focused format that it is actually usable. When business leaders ultimately get the information directly and in realtime, without waiting on others (i.e. data scientists, coders, etc), they control the formats & reports and can easily modify them by themselves.

The Rise of Reinforcement Learning

As people began using GenAI and LLMs more, a new disappointment set in: GenAI doesn’t really take action. Although LLMs offer an amazing capability to interact with the world of information, they lack the capability that other machine learning technologies deliver for your business. The language of business largely exists within your structured data stores such as your ERP, CRM, HR, Inventory Management, and other applications. LMMs are trained with the unstructured data that makes up the world of information. This information enables LMMs to write text with general knowledge, but it does not take action in the systems that automate business.

The best tool for such thinking and automation is Reinforcement Learning that has been proven with applications such as autonomous driving vehicles, beating the best chess master and outperforming the best gamer on any video game. Reinforcement Learning on top of the time series models and regression models allows for it to take the inputs as observation in an evolving state of business and be trained to take action to optimize goals such as working capital, revenues and profits across a very complex ecosystem and supply chain. In other words, this combination of models and Reinforcement Learning provides explicit direction to the business use or application.

It's the combination of these techniques (GenAI + Reinforcement Learning) that empower a Data Intelligence Cloud for AI that will have a much more significant impact on your business than an LLM alone.

Realizing A Data Intelligence Cloud For AI in Days Not Months Or Years

Put simply, a Data Intelligence Cloud for AI is a no-code, AI-powered, data intelligence platform that bridges the gap between IT and business. Fostering collaboration and innovation across all roles, it empowers business users, IT teams, and analysts to democratize data and AI by delivering AI-powered analytics 50x faster—unlocking the full potential of your data without heavy reliance on data scientists or specialized tools.

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 advanced analytics. 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 for AI 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 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–2025 Data Intelligence Cloud for AI Workshop, you can contact one of our experts today.