article thumbnail

Machine Learning in Insurance: Applications, Use Cases, and Projects

ProjectPro

Ever wondered how insurance companies successfully implement machine learning to expand their businesses? Despite its long history of resistance to innovation, the insurance sector is currently experiencing a digital revolution. For both applicants and insurers, this quick move has significant implications.

article thumbnail

4 Ways Better Access to Healthcare Data Can Improve Patient Outcomes

Snowflake

From improving patient outcomes to increasing clinical efficiencies, better access to data is helping healthcare organizations deliver better patient care. Organizational data can deliver valuable insights, such as the availability of care delivery resources.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Introduction to MongoDB for Data Science

Knowledge Hut

MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. With large amounts of unstructured data requiring storage and many popular data analysis tools working well with MongoDB, the prospects of picking it as your next database can be very enticing.

MongoDB 52
article thumbnail

Top Business Intelligence Platforms of 2024 [with Features]

Knowledge Hut

With the help of the company's "augmented analytics," you can ask natural-language inquiries and receive informative responses while also applying thoughtful data preparation. Some of the best features of oracle analytics cloud are augmented analytics, data discovery, and natural language processing.

article thumbnail

20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

The company can use demand forecasts as input to an allocation tool. The allocation tool can then optimize operations, such as delivery vehicle routing and planning capacity in the longer term. A related example is when a vendor or insurer wants to know the number of products that will be returned because of failures.