What makes a company an AI company?
- Strategic Data Acquisition
- Unified Data Warehouse
- Pervasive Automation
- New Roles such as Machine Learning Engineers
Strategic Data Acquisition is crucial for transforming a company into an AI-based company. The company should have a well-defined strategy for data acquisition, deciding whether to collect data internally or rely on external sources.
Unified Data Warehouse is essential because many companies have multiple data warehouses for security reasons. It consolidates all data into one place for easy access, which is necessary for AI teams working on machine learning projects.
Pervasive Automation: A company should constantly consider automating things in every sector and identify areas where automation can be beneficial.
New Roles such as Machine Learning Engineers: When transforming your company into an AI-based organization, it’s crucial to establish a dedicated department for AI, and individuals working in it should be machine learning experts, specifically machine learning engineers.
AI Transformation
- Execute pilot projects to gain momentum
- Build an in-house AI team
- Provide broad AI training
- Develop an Al strategy
- Develop internal and external communications
Execute pilot projects to gain momentum is essential for transitioning into an AI-based company. Small-scale pilot projects help identify challenges, evaluate effectiveness, and gain valuable insights before implementing AI across the entire organization. Successful pilot projects provide proof of concept and serve as a foundation for scaling AI initiatives.
Build an in-house AI team allows for greater control and customization of AI solutions, a deep understanding of internal processes, continuous innovation, and cost savings in the long run.
Deciding about a new Pilot project
- Technical diligence
- Is it feasible project?
- Can Al do that?
- Pretty much any thing you can do with a second of thought can be automated using supervised learning