IBM Big Data Hub

AUGUST 23, 2023

The recent success of artificial intelligence based large language models has pushed the market to think more ambitiously about how AI could transform many enterprise processes. However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves.

Data Governance 57

Data Governance Enterprise Modeling Risk 57

IBM Big Data Hub

MARCH 29, 2024

Monitoring and optimizing application performance is important for software developers and enterprises at large. OpenTelemetry and Prometheus are both open-source projects under the Cloud Native Computing Foundation (CNCF) that offer observability tools for application monitoring. What is OpenTelemetry?

Metrics 83

Metrics Visualization Measurement Optimization 83

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 313

Enterprise Deep Learning Data Governance Risk 313

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. Some AI platforms also provide advanced AI capabilities, such as natural language processing (NLP) and speech recognition. trillion in value. trillion in value. .”

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

DataRobot Blog

FEBRUARY 21, 2022

As a Data Scientist at heart and through direct work with our customers and community, I am sharing my observations about the advantages and challenges different notebook solutions bring to the table. Can I use several different languages? Jupyter, for example, contains the potential to execute multiple kernels (language interpreters).

Data Science 52

Data Science Recreation/Entertainment Risk Visualization 52

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111