Introducing Explosion AI

2016-10-03 · Source: Explosion · Developer tools and consulting for AI, Machine Learning and NLP - Explosion.ai · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Fundamental Awareness, quick

Summary

Explosion AI is launching to tackle the significant challenges of machine learning model development, specifically the high costs and inherent risks involved. The company positions its offering as a superior alternative to current market solutions, which are characterized as "one-size-fits-all cloud services" and deemed even less effective despite their initial promise. Explosion AI aims to provide a "better option" for organizations grappling with the uncertainty of model performance, as the true efficacy of an ML model is only revealed through expensive trial-and-error. This new venture seeks to mitigate the financial and operational risks associated with bringing machine learning projects to fruition.

Key takeaway

For Directors of AI/ML evaluating new platforms for model development, consider exploring Explosion AI as an alternative to generic cloud solutions. If your team faces high costs and unpredictable outcomes in ML projects, this new offering claims to provide a more tailored and effective approach. You should investigate how Explosion AI specifically addresses the inherent risks and expenses of bringing machine learning models to production.

Key insights

Explosion AI offers a superior alternative to generic cloud services for mitigating the high cost and risk of ML model development.

Principles

• ML model efficacy is unknown pre-deployment.
• ML development involves significant expense.
• Generic cloud services are suboptimal.

Topics

• Machine Learning Development
• ML Model Risk
• Cloud ML Platforms
• Cost Optimization
• AI Solutions

Best for: CTO, VP of Engineering/Data, Investor, Machine Learning Engineer, AI Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Explosion · Developer tools and consulting for AI, Machine Learning and NLP - Explosion.ai.