Manifold Blog

Manifold Blog

Vinay Seth Mohta

Vinay Seth Mohta
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Recent Posts

Your Project Needs a Data Readiness Audit

Posted by Vinay Seth Mohta on Mar 21, 2019 6:00:00 AM

In the early phase of a new project, we dive into the “Understand” step of our Lean AI framework. There are two main forms of understanding we aim for — business understanding and data understanding.

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Topics: Data engineering

More Patient Information Can Lead To Better Care. Here's How To Get It Without Paying Too Much.

Posted by Vinay Seth Mohta on Nov 1, 2018 2:00:04 PM
Healthcare providers have historically gathered only clinical data, collecting information when patients needed health services. But collecting information across a broader spectrum provides a more holistic view of a patient and can improve strategies for providing care. Moreover, it can be an incredibly useful indicator of a patient’s long-term health.
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Topics: Healthcare

Intimidated by AI? Ask Yourself These 5 Questions, And You’re Halfway to Implementation

Posted by Vinay Seth Mohta on Oct 4, 2018 1:11:28 PM

Do you ever feel like machine learning is moving so fast that it’s impossible to keep up? You’re not alone — that’s what the hype cycle has lots of people thinking.

Hype bubbles seem to build up every few years around a specific technology, like the cloud, big data, or, in this case, artificial intelligence.

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Topics: Data science

Lean AI: A 6-Step Guide to Making a Tangible Business Impact as Efficiently as Possible

Posted by Vinay Seth Mohta on Oct 1, 2018 3:10:34 PM

Lean AI is a new, innovative practice and its principles should be widely recognizable. A number of existing systems inspired us in the development of Lean AI, including human-centered design at IDEO, the Lean Startup methodology, agile software development principles, and the CRISP-DM approach pioneered by the data-mining community.

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Topics: Data science

How to Meet Patient Demand for AI in Health Care

Posted by Vinay Seth Mohta on Aug 28, 2018 7:00:00 AM

The past 10 years have given us some truly innovative technology; now, healthcare providers are beginning to figure out the best ways to use it. They would do well to follow other industries by listening to consumers — in this case, patients—to determine the best way to incorporate this technology into their workflows.

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Topics: AI at the edge, Healthcare

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We publish occasional blog posts about our client work, open source projects, and conference experiences. We focus on industry insights and practical takeaways to help you accelerate your data roadmap and create business value.

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