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Cloud-Based Machine Learning (h/t Anne Bonner) (The Cloud is already a…
Cloud-Based Machine Learning (h/t Anne Bonner)
The Cloud is already a part of your life
Machine Learning algorithms are a huge part of our lives
These algorithms are used in many fields to build models that can predict future events
Artificial Intelligence
AI + ML are driving social media, marketing, fraud detection, business intelligence and entertainment recommendations.
AI + ML are becoming the industry standard.
Why do we need cloud-based Machine Learning?
Data
Companies have been compiling data at massive unmanageable levels.
It is key for these companies to process all of this data and to leverage it for meaningful insights
Machine Learning
Algorithms will recognize patterns and predict insights based on actual analyis
Examples
Netflix Recommendations
Social Media + E-commerce
Credit Card recommendations based on credit score
AI & ML & the Cloud
Dominance
6.5M developers using AI & ML
5.8M plan to start using AI
Over 56% of developers leverage ML + AI
Corporate
Companies will accelerate cloud-based AI usage
70% will obtain AI capabilities (enterprise)
65% will create AI cloud-based applications
Penetration rates of 83% of cloud-based AI platforms of AI companies.
Investment in AI
Forecast to reach $35.8B in 2019
44% increase on 2018 spending
Projected to be $80B in 2022.
Machine learning models
Infrastructure
Gives organizations access to high-performance infrastructure
ML applications are expensive and processing intensive
Much more affordable to rent access to these systems in the cloud than to purchase them outright
Affordability
Affordable data storage
Cloud storage is less expensive in house storage
Cloud storage -> cloud-based ML service make sense