Orchestration Layer – The “brain” is normally designed using frameworks such as Apache Airflow, Prefect, or AWS Step Functions to manage dependencies, triggers and the actual running of tasks; it ...
HILLIARD, Ohio (WCMH) — Amazon Web Services’ contested proposal to power Hilliard data centers with a fuel cell system is now expected to move forward without city approval. “In my opinion, the AWS ...
Amazon Web Services (AWS) made worldwide headlines on Monday when the service went offline for hours, disrupting popular apps, services and tools from Zoom and Venmo to Snapchat and Reddit. According ...
Europe’s leading cancer conference may be swimming in antibody-drug conjugate data, but AstraZeneca remains convinced that its in-house pipeline sets the pharma apart. The U.K.-based drugmaker earned ...
Enterprise data estates provide the fuel needed to drive generative AI adoption. Silos are the obstacles blocking deployments at scale. SAP had AI in mind and data processes on the agenda when it ...
Pipeline monitoring frequently encounters missing data, leading to incomplete evaluation and hindering a comprehensive assessment of the pipeline’s structural health. To address this issue, this study ...
TINTON FALLS, N.J., Sept. 30, 2025 /PRNewswire/ -- Commvault (NASDAQ: CVLT), a leading provider of cyber resilience and data protection solutions for the hybrid cloud, today launched Clumio for Apache ...
Amazon.com, Inc. (NASDAQ:AMZN) is one of the AI Stocks Every Investor Should Watch. On September 24, Wells Fargo analyst Ken Gawrelski upgraded the stock from Equal Weight to Overweight with a price ...
Abstract: Real-time data pipeline optimization plays a critical role in the efficiency and reliability of autonomous control systems, particularly in dynamic environments that demand low latency and ...
A startup called Ardent AI Labs Inc. says data engineering is the next major discipline in line for “agentic” automation after getting $2.15 million in a pre-seed funding round. The money comes from ...
In this paper, we discussed the project on credit card default prediction that uses MLOps principles to streamline the whole machine learning lifecycle, from the data preprocessing step and model ...