The human arsenal has always been a little on the loaded side, but at the same time, it still hasn’t seen a thing more valuable than that desire of ours to grow at a consistent clip. We say this because the stated desire has already fetched the world some huge milestones, with technology appearing as a major member of the group. The reason why technology enjoys such an esteemed stature among people is, by and large, predicated upon its skill-set, which ushered us towards a reality that nobody could have ever imagined otherwise. Nevertheless, if we look up close for a second, it will become clear how the whole runner was also very much inspired from the way we applied those skills across a real world environment. The latter component was, in fact, what gave the creation a spectrum-wide presence, and consequentially, kickstarted a tech revolution. Of course, this revolution then went on to scale up the human experience through some outright unique avenues, but even after achieving such a monumental feat, technology will somehow continue to produce the goods. The same has grown substantially more evident in recent times, and assuming one new fintech development shakes out just like we envision, it will only make that trend bigger and better moving forward.

Morningstar, a leading provider of independent investment insights, has officially launched a beta version of its generative artificial intelligence chatbot named “Mo”. Available across platforms like Morningstar Investor, Research Portal, Direct, and Advisor Workstation, Mo works by combining Morningstar’s extensive investment research library with Microsoft’s Azure OpenAI Service so to simplify the relevant insights and serve them in a conversational format for investors and investment professionals. But what empowers the technology to deliver on its promised value proposition? Well, it leverages Morningstar’s pool of equity and managed investment research, editorial, and ratings. Such optimally-informed foundations help Mo in delivering a suitable response across a broad set of investment-related topics. Now, if we explain its functional design on a more practical note, whenever Mo receives a query, the request is automatically transferred to Morningstar Intelligence Engine, which identifies the most responsive content to provide to OpenAI’s large language model and put-together a simplistic answer. Hold on, that’s not all. Once the engine has identified the content, it is then tested for relevance, thus ensuring higher quality results. Only after getting a green light here that the technology goes ahead and gives the user their required piece of information.

“AI has huge potential to support a better investor experience at scale, and this is just the beginning,” said James Rhodes, chief technology officer and president of Data, Research, and Enterprise Solutions at Morningstar. “Mo is a digital research assistant that uses the power of the Morningstar Intelligence Engine to put Morningstar’s research just a question away. We look forward to learning how people interact with the beta so we can improve and expand its capabilities to make the day-to-day investing experience better.”

Founded in 1997, Morningstar’s rise to prominence is rooted in its mission to democratize investor insights that were previously considered as a luxury, a luxury only accessible to big scale financial institutions. At present, the company provides in-depth data and research insights on investment offerings, including managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. It also extends these services to clients of different nature, considering Morningstar’s clientele includes everyone from individual investors, financial advisors, and asset managers to owners, retirement plan providers, sponsors, and more. Beyond that, the company even has investment management services on the offer, and there, it boasts around $249 billion in assets under advisement and management.