Using artificial intelligence, including large language models (LLMs) and methods like RAG (Retrieval-Augmented Generation), is changing how we work with data. Say goodbye to scrolling through endless Excel spreadsheets and going through ten procedures just to gain business insights.
With AI, today we can interact with all available business data using text or voice queries, and do so in our native language without the need to create technical queries or complicated procedures.
How this can benefit your daily work, find out in the rest of the text.
AI as a constantly available assistant
Imagine a scenario where Jovana, a sales representative, needs to provide key information to a potential client about some metrics related to energy efficiency in a large industrial segment during a crucial meeting.
This information is typically found in reports and tables, and it’s not so easy to access. Here, AI proves to be very effective because now Jovana can ask the device –
“What was the energy consumption for product X in market Y last quarter?”
In just a few moments, she’ll receive the requested data and accompanying information, enabling her to communicate with the client.
Moreover, AI can recommend the next steps for Jovana in such situations. If the model is specifically trained for sales, it can take into account many parameters and provide her with guidance on how to steer the sale, prepare her for additional questions, and more.
As a result, the sales process flows smoothly, increasing the chances of closing the deal.
“SmartFact” – In our company, we have developed the Company Mind Assistant CMA, which significantly speeds up operational work in the marketing department by feeding it all the necessary data, from case studies to analytics and other materials, providing answers without the need for additional manual searches, which can be a very tedious process.
The implementation of AI depends on three key factors
Directly interacting with data through AI is a significant advancement compared to traditional database searches. However, this is a novelty in markets worldwide. Suddenly, you have an incredibly fast assistant who understands what you’re asking, understands the context, and provides precise data on an intuitive interface – in real time.
Naturally, there are questions about implementation. Overall, SmartCat has identified three key steps.
The first step is for managers to recognize the critical data necessary for making key decisions. This way, a sufficiently good base is created for all members of an organization, maximizing the potential of artificial intelligence. Of course, all this assumes that the organization actively and efficiently collects its data – which is still a problematic point in business.
The second step is to create a platform that processes queries and integrates with existing databases and data sources. The size of the investment depends on business goals and plans, as well as the purpose. We must not forget the continuous refinement of all that data and sources to maintain system accuracy. At SmartCat, we offer these services alongside implementation and recognition because we are aware that these skills are still being developed.
The third step, which is no less important, is training all people who interact with the system. It’s essential to consider both the technical side and the way questions are formulated. The better the query – the more precise the answer and the less time spent.
Everyone benefits from quick data access
The development of artificial intelligence greatly benefits professionals in sales or customer service – but also in all other business roles that gain from quick and precise access to data. When you have direct and fast access, processes are much more efficient, allowing you to focus on your core business.
Using data is no longer as complicated as it once was. One query and you have all the important information. With AI integration, what once seemed like science fiction is now available in everyday business.
Additionally, major tools like PowerBI and Tableau have this functionality built-in, so alongside viewing graphs, you can ask for insights, which is incredibly powerful.
At SmartCat, we see boundaries being pushed every day, and we hope to be partners with many companies on this journey.
Check the video here.
