The Impact of AI on the Healthcare Industry
The benefits of using AI in healthcare are two-fold as both the patients and healthcare providers can leverage the technology
The benefits of using AI in healthcare are two-fold as both the patients and healthcare providers can leverage the technology
Augmented analytics is starting to be used in applications that help users do something they cannot do on their own.
In the news this week: an AI tool to help identify those most vulnerable to COVID-19 and new products, services, and updates from TigerGraph, ClosedLoop, Databricks, and Verta.
MBAs educated today using methods from the past may not be prepared for jobs of the future.
Honeywell also revealed it is working with JPMorgan Chase to develop algorithms that can be applied to both quantum computers and existing systems.
In the news this week: not surprisingly several announcements about using AI in healthcare, plus multiple offerings that use AI with IoT systems.
The complexity of some IT systems has made it near impossible to understand exactly what is going on. AIOps helps cut through that noise.
The methodologies are complementary, have commonalities, require different skills, and should be part of the overall meta-iterations within a concerted digital transformation effort.
Data annotation takes time. And for in-house teams, labeling data can be the proverbial bottleneck, limiting a company's ability to quickly train and validate machine learning models.
When implementing RPA, the biggest challenges involve development and infrastructural issues.