Remove Data Security Remove Medical Remove Unstructured Data
article thumbnail

Top 10 Data Engineering Tools You Must Learn in 2025

ProjectPro

It can also access structured and unstructured data from various sources. As a result, it must combine with other cloud-based data platforms, if not HDFS. GraphX is an API for graph processing in Apache Spark. Also, Snowflake is compatible with GDPR, HIPAA, PCI DSS, and SOC 1 and SOC 2.

article thumbnail

9 Data Integration Projects For You To Practice in 2025

ProjectPro

Think of the data integration process as building a giant library where all your data's scattered notebooks are organized into chapters. You define clear paths for data to flow, from extraction (gathering structured/unstructured data from different systems) to transformation (cleaning the raw data, processing the data, etc.)

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

How to Use AI in Data Analytics for Quick Insights?

ProjectPro

For example, Viz.ai, a healthcare technology company, uses AI to enhance medical diagnosis and treatment, particularly for stroke care. AI algorithms create synthetic datasets that maintain the statistical properties of real data, allowing companies to train machine learning models without risking privacy breaches.

article thumbnail

How to Use Data Science in Healthcare?

ProjectPro

Behind every doctor's diagnosis, every clinical trial, and every medical breakthrough lies a wealth of information waiting to be harnessed. Did you know that every minute, a staggering 120 gigabytes of data are generated by medical devices, patient records, and research studies across the globe?

article thumbnail

How Healthcare and Life Sciences Can Unlock the Potential of Generative AI

Snowflake

It can use natural language processing (NLP) to automate the process of medical documentation, significantly reducing the administrative burden on healthcare workers and allowing them to focus more on patient care. In addition, hiring for AI-related roles such as AI data scientists, data engineers and AI product owners remains a challenge.

article thumbnail

Top 3 Healthcare and Life Sciences Data + AI Predictions for 2024

Snowflake

It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment. Data security and governance aren’t the only reasons leading organizations will take this approach.

article thumbnail

5 Generative AI Use Cases Companies Can Implement Today

Towards Data Science

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Secure the right team and resources Creating an AI pilot project takes time and resources.