Machine learning outsource or not outsource
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The pros and cons of outsourcing machine learning projects and products to run the business. The presentation covered both the advantages and disadvantages of machine learning outsourcing.
Machine learning outsource or not outsource
- 1. outsource or not outsource MACHINE LEARNING Martyn Sukys, 2017
- 2. Source: https://www.boldare.com/blog/machine-learning-digital-product-costs/ The Need for ML and AI Specialists
- 4. and Skills
- 5. Machine Learning Solution Project
- 6. Source: https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/ Big Data Architecture
- 7. The Negatives of Machine Learning Outsourcing No Competitive Advantage If there is no development there is no competitive advantage. Specific Problems are Not Covered Some data is too specific and there is no SaaS for it. Data Sharing Some companies operate with critical data, valuable data or personal data. ML SaaS companies must have to access the user data. For companies like Uber, Airbnb, and Pinterest ML is the core technology and budgets are enormous, their ML development is a must-have. For other companies, there is a more important mission than replication of ML features.