# How AI is Solving Today’s Problems with Samir Manjure of KenSci

Published 2019-03-25 · Updated 2026-07-23 · Education Technology on MarketScale
Canonical: https://www.marketscale.com/industries/education-technology/ai-solving-todays-problems

> While we often think about machine learning and artificial intelligence as a way to replace humans, it might not be so simple in the healthcare space. We need those humans who have spent decades mastering this craft, as their intuition and empathy cannot be matched by machines. At the same time, we have to…

While we often think about machine learning and artificial intelligence as a way to replace humans, it might not be so simple in the healthcare space. We need those humans who have spent decades mastering this craft, as their intuition and empathy cannot be matched by machines. At the same time, we have to recognize that there are some machine learning and data analyzation functions that could save doctors and healthcare staff a lot of valuable time.

Enter assistive intelligence.

Today [KenSci](https://www.kensci.com/) CEO [Samir Manjure](https://marketscale.com/industries/contributors/samir-manjure/) joins the MarketScale podcast to speak about assistive intelligence in the healthcare space. Manjure started his career at Microsoft and was working his way up through the machine learning and data sciences ladders, but wanted to do something that would have a meaningful impact on society at large. His top choices were education and healthcare, then he found his future [KenSci](https://www.kensci.com/) co-founder with whom he realized that the healthcare market was underserved. So, they decided to start [KenSci](https://www.kensci.com/) and “use data science in a way that can benefit the society at large.”

Although, [Manjure](https://marketscale.com/industries/contributors/samir-manjure/) is quick to point out that the company is not using data science for large scale applications, like finding the cure for cancer. [KenSci](https://www.kensci.com/) is very applied and is using machine learning to “solve today’s problems.”

The question has changed from why we should use AI to how, and in the healthcare industry that is in a variety of ways, including pharmaceutical variation, determining the length of a patient’s stay, predicting emergency room overflow, determining whether a patient is pre-diabetic, and even predicting congestive heart failure or which patients are likely to leave without being seen by a doctor.

At the end of the day, says [Manjure](https://marketscale.com/industries/contributors/samir-manjure/), “It’s not about the sexy machine learning, it’s about saving lives and making an impact in the patient’s care and procedures.”

For the latest news, videos, and podcasts in the **Healthcare Industry**, be sure to subscribe to our industry publication.

**Follow us on social media for the latest updates in B2B!**

Twitter – [@HealthMKSL](https://twitter.com/HEALTHmksl)

Facebook – [facebook.com/marketscale](http://facebook.com/marketscale)

LinkedIn – [linkedin.com/company/marketscale](http://linkedin.com/company/marketscale)

---
Source: MarketScale, https://www.marketscale.com/industries/education-technology/ai-solving-todays-problems. Published for AI indexing and citation; cite the canonical URL. Site guide for agents: https://www.marketscale.com/llms.txt