This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Opensource dependency debt that weighs down DevOps As a software developer, writing code feels easier than reviewing someone elses and understanding how to use it. Many teams neglect dependency hygiene, letting outdated, redundant, or unsupported open-source components pile up, says Mitchell Johnson, CPDO of Sonatype.
In a report released in early January, Accenture predicts that AI agents will replace people as the primary users of most enterprisesystems by 2030. Take Avantia, for example, a global law firm, which uses both commercial and opensource gen AI to power its agents. And thats just the beginning.
If last years Huawei Industrial Digital and Intelligent Transformation Summit was about exploring the opportunities and challenges of industrial intelligent transformation, the 2025 edition was about how rapid AI development has changed the landscape. Lastly, open-source AI models are simply becoming more competitive.
Enterprises that elect to implement on the Snowflake data cloud, for example, might pursue native machine learning platform options to leverage the strength of the investment they have as opposed to the ones they dont. Agentic AI is here to stay and will gain tremendous momentum in 2024.
Nvidia has introduced a new set of opensource Llama Nemotron reasoning models during its GTC event, aimed at enhancing agentic AI workloads. Nvidia’s market position faced challenges earlier this year with the introduction of DeepSeek R1, which promised an opensource reasoning model with superior performance.
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content