Today, we face a fundamental problem in the Artificial Intelligence (AI) world: the inefficiency of generating big data projects' insights. We know a significantly faster way. Most industries, including financial instruments, are frustrated with the time to get actionable results from AI and big data analytics. We have two solutions, which include 1. Implementing smaller data sets equipped with agile hypothesis-based approaches while combining the most advanced technology with 2. Quantum Computing. We are generating insights from big data projects efficiently. Our team uses Quantum AI techniques to transform the traditional AI approaches into Quantum AI methods. We focus on minor aspects to discover valuable resources quickly (within four weeks) with ~90% accuracy.

Then, we scale up to refine the approach for higher precision. The business leaders have invested in AI to get decision-making insights and find new market growth resources. Our finding is that they don't get the results fast enough due to the glitches in the data and the model's inefficiency. They struggle to interpret the AI results to business needs. Most data scientists only know the techniques written in textbooks or were trained in a Bootcamp. The real-world story deals with the quality of the data and how quickly a model can adapt to each environment. An agile framework focuses on a smaller dataset and provides faster and more scalable results without waiting to deliver big data models.

Another problem is the low level of trust in the advanced techniques by decision-makers while America is facing significant changes in its political and ideological directions worldwide and within. We show the executives how the technology works to eventually convince them to use rigorous methods. We want organizations to react quickly to their customer needs to achieve more revenue. We perform consulting projects in finance, medical imaging, and logistics with complimentary customer support.