Machine learning (ML) lets enterprises unlock the true potential of their data, automate decisions, and transform their business processes to deliver exponential value to their customers. ElectrifAi is a global leader in business-ready ML models.
Our mission is to help organizations change the way they work through ML: driving cost reduction as well as profit and performance improvement. Founded in 2004, ElectrifAi boasts seasoned industry leadership, a global team of domain experts, and a proven record of transforming structured and unstructured data at scale.
Ai is very broad and attempting to understand these questions on your own is difficult:
Everyone says they do Ai, but 85%1 of Ai projects fail due to:
Without easy access to data scientists, businesses are stuck with:
ElectrifAi helps businesses address these problems by providing ML models that address real industry use cases. We specialize in removing the risk of building your own team, assembling your own toolset, and spending months or years trying to create real business value from your data.
ElectrifAi has been cited in the Gartnerresearch note: “Key Actions to Prevent Machine Learning Failure Due to COVID-19-Related Data Drift.” (July 2020)
According to the report,
"Many off-the-shelf solution vendors have pre-integrated AI capabilities, leveraging many techniques that have the benefit of being ‘pre-operationalized’ and that should provide more than good enough benefits at a faster time-to-market rate than do-it-yourself projects." - Gartner, Inc.
ElectrifAi is an AI-first company offering a path to success with pre-built ML solutions. We are faster, better, cheaper, and less risky than trying to build machine learning models alone. Our ML models:
The journey to successful Ai and ML is best undertaken with a trusted partner. We help organizations change the way they work through machine learning: driving profit, cutting costs, and reducing risks.
Contact us today to find out how we can use our pre-built ML models to further your business goals and increase customer satisfaction.
1Source: Towards Data Science, Why 85% of AI projects fail: https://towardsdatascience.com/why-85-of-ai-projects-fail-2c85cdd4bf45