July 14, 2023
o9 Platform-as-a-Service (PaaS) — Data Science
u003cbru003eIn this video, we discuss the four key challenges that prevent companies from unlocking the full business value of their AI/ML capabilities. We then discuss how the o9 Digital Brain platform can help companies overcome these challenges and achieve better decision making.
The four challenges are:u003cbru003e1. Lack of a solid data foundation. Many companies have not been able to create a common data model to make sense of their data. This results in data silos, which prevent data-driven insights from reaching decision-makers.u003cbru003e2. Disconnect between data, data scientists, and decision makers. In many companies, there is a disconnect between the people who own the data, the people who develop AI/ML models, and the people who make decisions. This disconnect prevents data-driven insights from being used to make better decisions.u003cbru003e3. Lack of extensibility in the underlying data and technology. Many AI/ML projects fail to scale beyond the proof of concept stage because they are not built on extensible data and technology platforms. This makes it difficult to add new data sources and models, and to adapt the platform to changing business requirements.u003cbru003e4. Lack of a clear roadmap for AI/ML adoption. Many companies do not have a clear roadmap for AI/ML adoption. This results in ad hoc projects that are not aligned with the company's overall business goals.
The o9 Digital Brain platform can help companies overcome these challenges by providing a single platform for data integration, data modeling, AI/ML development, and decision making. The platform is built on a scalable and extensible architecture, and it provides a clear roadmap for AI/ML adoption.
