How AI and analytics can predict machine performance - Marlabs AI/ML/NLP and automation

How AI and analytics can predict machine performance

The art of predicting the future bestowed unlimited power on people in the old ages, and the case continues to be the same today. With 2.5 quintillion bytes of data created on an everyday basis, data and information continues to provide an opportunity to predict future events – with a little help from analytics, artificial intelligence, and machine learning. According to a recent PwC survey, over 90% of enterprises are implementing or planning to invest in ML, AI solutions to address current business concerns and be future-ready. Travel and hospitality (89%) has taken the lead in AI adoption, followed by TMT (86%), financial services (82%), and healthcare and pharma (73%) quotes the survey.

The AI, ML and analytics practice at Marlabs is powered by a substantial network of digital practitioners, best-in-class technology partners, and innovators. Our skilled network of experts helps us formulate retrofit digital solutions that can be scaled up with ease.

Our latest venture with an American IT enterprise witnessed collaboration on a granular level to improve fixes, logistics, and supply chain visibility in case of a machine failure.

Our approach to the problem was creating a most viable product by leveraging data science, analytics, machine learning, and artificial intelligence.

Marlabs LLC

About Marlabs LLC

Marlabs helps leading companies around the world make operations sleeker, keep customers closer, transform data into decisions, de-risk cyberspace, boost legacy systems, and capture novel opportunities and digital-led revenues. It provides digital-first strategy and advisory services, rapid solution incubation and prototyping, and agile digital solution engineering. Marlabs is headquartered in New Jersey, with offices in the US, Germany, and India. Its 2,500+ global workforce includes highly experienced technology, platform, and industry specialists from the world’s leading technical universities.

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