Machine Learning Pharmaceuticals Technical Review 
OTS Solutions
JUNE 3, 2022
Technology has proven important in maintaining the healthcare industry’s resilience in the face of so many obstacles. The healthcare business has embraced numerous technology-based solutions to increase productivity and streamline clinical procedures. The intelligence generated via Machine Learning.
TechCrunch
AUGUST 25, 2021
A genomewide association study found 566 “genes of interest,” and to investigate each costs somewhere in the neighborhood of $40,000 due to the time, staff and materials required. “Using our tech, we can come up with a minimal predictive breeding set for traits of interest. Image Credits: Avalo.
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CIO
SEPTEMBER 18, 2023
When the timing was right, Chavarin honed her skills to do training and coaching work and eventually got her first taste of technology as a member of Synchrony’s intelligent virtual assistant (IVA) team, writing human responses to the text-based questions posed to chatbots.
CIO
OCTOBER 1, 2024
In an era of major technology shifts and business disruptions, CIOs are better prepared to help their companies navigate possible delays due to the port strike but settling the impasse is of great concern, observers claim, as a protracted strike could have widespread impact on organizations across a range of industries.
TechCrunch
OCTOBER 29, 2020
The company’s machine learning dashboard is able to detect improper payments more quickly, conduct clinical claim reviews and generate reports, speeding up and cleaning up a process that’s been mostly manual and inefficient. Alaffia automates the process of auditing health insurance claims.
CIO
JUNE 7, 2022
But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. They process and analyze data, build machine learning (ML) models, and draw conclusions to improve ML models already in production. Data scientists are the core of any AI team.
CIO
JULY 30, 2024
The launch of ChatGPT in November 2022 set off a generative AI gold rush, with companies scrambling to adopt the technology and demonstrate innovation. They have a couple of use cases that they’re pushing heavily on, but they are building up this portfolio of traditional machine learning and ‘predictive’ AI use cases as well.”
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