Build A Horizontal Machine to Address Numerous Vertical Markets
As third-party market forecasts suggest, the AI/ML industry is a large market that will likely get much larger. One reason for this is that big data is not limited to a handful of industries. With enterprise adoption of ERP, CRM, and cloud during the 1990s and 2000s to capture data, companies across all verticals now have access to AI/ML to unlock the value of their data assets. Some examples of industries disrupted by AI/ML include:
- Energy: America has 2.7 million miles of energy pipelines. Proper maintenance and operation of these assets are imperative to ensuring the safety of communities, workers, and the environment. High-tech devices called PIGs collect pipeline data, but analysis is left largely to Excel macros. But AI/ML has disrupted this legacy analysis. Read more HERE.
- Financial Services: Regulations like MiFID II demand trading transparency for investors. Historically, investors have had to rely upon brokers to fill the best trade, and these trades mostly relied upon human decisions. And although we believe most brokers act in good faith, we cannot deny that there is limited transparency for investors. RBC’s Aiden® platform uses the computational power of AI to improve trading results and insights for clients. Read more HERE.
- Healthcare: The COVID-19 pandemic is at the forefront of health, business, and political news. Researchers are challenged not by data availability but by unification. There are no standards to data formatting, and researchers can spend 90% of their time formatting datasets to make them usable. To help researchers focus their time on data analysis rather than data formatting, AI/ML has been used to create a data lake to unify the datasets. Read more HERE.
- Agriculture: Farmers must track and analyse numerous variables to make decisions that will affect their businesses over several years. Improper selection and application of fertilizers, for example, can cause chemical burns to plants, contaminated water, and soil acidification. Using AI to analyze crop images can help determining plant health and when fertilizers should be applied. Read more HERE.
Again, these are a few AI/ML examples in a universe of applications that is expanding. We believe that horizontal platforms applicable across multiple industry verticals will create the most value for AI/ML companies and their shareholders.
Euclides will in time address these vertical markets. It is the big Horizonatl play. Just saying!
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