Remove Applications Remove Scalability Remove System Architecture
article thumbnail

Aptiv’s latest investment shows that software-defined vehicles are here to stay

TechCrunch

Aptiv comes on as a strategic investor at a time when the company is working on accelerating the transition to the software-defined car by offering a complete stack to automakers, one that includes high-performance hardware, cloud connectivity and a software architecture that is open, scalable and containerized. .

Software 211
article thumbnail

10 highest-paying IT jobs

CIO

The vice president of IT is responsible for overseeing specific aspects of the organization’s IT operations, whether it’s infrastructure, security, data management, or applications. They’re also charged with assessing a business’ current system architecture, and identifying solutions to improve, change, and modernize it.

Insiders

Sign Up for our Newsletter

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

article thumbnail

SambaNova raises $676M at a $5.1B valuation to double down on cloud-based AI software for enterprises

TechCrunch

In December , the startup launched Dataflow-as-a-Service as an on-demand, subscription-based way for enterprises to tap into SambaNova’s AI system, with the focus just on the applications that run on it, without needing to focus on maintaining those systems themselves.

article thumbnail

Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This post will discuss agentic AI driven architecture and ways of implementing.

article thumbnail

Foundation Model for Personalized Recommendation

Netflix Tech

This scenario underscored the need for a new recommender system architecture where member preference learning is centralized, enhancing accessibility and utility across different models. This constraint is more stringent than what is typical in LLM applications, where longer inference times (seconds) are more tolerable.

article thumbnail

Building a Beautiful Data Lakehouse

CIO

Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics.

article thumbnail

Understanding Retrieval-Augmented Generation (RAG) on Google Cloud Platform (GCP)

Xebia

Retrieval-Augmented Generation (RAG) is a key technique powering more broad and trustworthy application of large language models (LLMs). Jeroen will take you along RAG applications, and their implementations on Google Cloud Platform (GCP). Lets dive deeper into how RAG can be a practical tool for data-driven systems.