MLops: Making sense of a hot mess
Investment in MLOps is both an enterprise must and a hyper-fragmented landscape. A Gartner analyst weighs in on the confusing landscape.
Applied AI
business
category-/Business & Industrial
large language models
MLOps
responsible AI
synthetic data
4 AI trends: It’s all about scale in 2022 (so far)
The giant AI trend that all other trends serve in 2022 is the increased scale of artificial intelligence in organizations.
analytics engine
business
business analytics
business intelligence
category-/Business & Industrial
category-/Computers & Electronics/Enterprise Technology
category-/Internet & Telecom/Web Services
cloud
data engineering
data infrastructure
data lakehouse
data pipeline
data pipelines
Databricks
Enterprise analytics
ETL
machine learning
MLOps
streaming data
Databricks strikes back
On the heels of competitor events and announcements, Databricks' kicks off its Data+AI Summit today, with a slew of its own announcements
Applied AI
category-/Business & Industrial/Business Operations
category-/Science
data infrastructure
data science
DataDecisionMakers
devops
Kubernetes
machine learning
ML models
MLOps
6 sustainability measures of MLops and how to address them
MLops enables teams to collaboratively deploy ML models into production, manage them at scale and continuously monitor their performance.
AI
Applied AI
category-/Computers & Electronics/Software
category-/Science/Computer Science
machine learning
MLOps
Nvidia partners with Run:ai and Weights & Biases for MLops Stack
In a bid to help make machine learning workflow lifecycles easier for data scientists, AI compute orchestration vendor Run:ai and MLops platform vendor Weights & Biases (W&B), are partnering with Nvidia.