DailyHum Logo
The state of MLOps in 2021 is dominated by startups
Sep 22, 2021 | Venture Beat
Picture - The state of MLOps in 2021 is dominated by startups

Enterprises’ urgent need is for startups to help solve getting more machine learning (ML) models into production. That’s because 87% of data science projects never make it into production. Algorithmia’s 2021 enterprise trends in machine learning of 750 business decision-makers found 22% say it takes between one and three months to deploy an ML model into production before it can deliver business value. Furthermore, 18% say it takes over three months to get a model into production. Delays getting ML models into production are symptoms of larger, more complex problems, including lack of production-ready data, integrated development environments, and more consistent model management. According to IDC, 28% of all AI and machine learning projects fail because of these factors. Closing the gaps in MLOps and across the entire model lifecycle process creates a lucrative new market opportunity for startups, valued at $4 billion by 2025. According to Dr. Ori Cohen’s research, there’s been $3.8 billion in funding already.

Sponsored
20 hours ago | Venture Beat
4 things VCs get wrong about AI
Oct 22, 2021 | Venture Beat
3 trends driving data observability
Oct 21, 2021 | Machine Learning Mastery
A Gentle Introduction to Vector Space Models
4 things VCs get wrong about AI
20 hours ago | Venture Beat
AI/ML
3 trends driving data observability
Oct 22, 2021 | Venture Beat
AI/ML