The multidisciplinary approach to building AI products
Read about why it is essential to incorporate different types of data and machine learning roles when building AI products.
November 1, 2023
Read more about how to effectively use your data to elevate your organization.
In today’s data-driven, AI-powered digital landscape, the vast repositories of information available to companies can be both a treasure trove and a labyrinth. As an executive, the pressure to harness this data for strategic decisions, operations, and product development is immense.
Your journey begins by recognizing your current position.
Here at Qubika, we’ve outlined three distinct characteristics of companies to assist you in pinpointing your place in the data journey. Based on the descriptions below, where would you categorize your data organization?
You may be reading this, and wondering how your company can move into the advanced category. Let’s look at the example of YouScience which has done exactly that.
YouScience, a forward-thinking edtech organization based in American Fork, Utah, has spent years guiding people to find their purpose in life – finding that unique point between what you enjoy doing, what you’re good at, and what someone is willing to pay you to do. Originating from aptitude testing and career counseling, YouScience quickly understood the transformative potential of data. Today, they leverage data analytics, machine learning, and AI to deliver custom, advanced career guidance. Furthermore, their capabilities provide critical insights for educators, school administrators, and the broader US educational sector.
This transformative journey commenced with the formulation of a well-defined data strategy, recognizing the immense value inherent in their data. We laid the foundation with a robust, industry-standard data warehouse, complemented by seamless data integration across all platforms. We managed the Extract, Transform, Load (ETL) process using Matillion. We also incorporated multiple data layers within Snowflake to enhance data management and storage capabilities. Once the data was processed and cleansed, we used Domo, a data visualization platform, to create visually appealing and informative dashboards.
As a result of this initial work, YouScience was able to consolidate all their business data in one centralized location. This enabled them to gain a comprehensive overview of their operations and make informed business decisions.
Today, the journey is now focusing on the huge potential of AI and generative AI. We’ve built a generative AI framework for LLM applications, enhancing our existing recommendation systems with sophisticated neural networks. These advancements culminate in detailed reports that shed light on a student’s career trajectory, providing a transformative user experience.
Even companies which have a more mature data environment, often lack a long-term vision for their data. They view it merely as a technical tool or an essential function for their products, such as a transactional database that maintains app interactions. However, the true potential of data extends beyond these limited views.
Properly harnessed, data can significantly enhance decision-making, open up new revenue streams, and drive long-term success in the AI-era. Conversely, a failure to use data effectively, will quickly sound the death-knell for even currently successful businesses.
Ready to elevate your organization with data? Make sure to contact us to get started.
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