TechCrunch
APRIL 7, 2021
As a company founded by data scientists, Streamlit may be in a unique position to develop tooling to help companies build machine learning applications. Data scientists can download the open-source project and build a machine learning application, but it requires a certain level of technical aptitude to make all the parts work.
Xebia
FEBRUARY 28, 2025
When should you even start thinking about MLOps, or when is plain DevOps wiser to focus on first? Read along to learn more! Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. No longer is Machine Learning development only about training a ML model.
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O'Reilly Media - Data
JUNE 5, 2018
Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.
CIO
NOVEMBER 27, 2024
Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.
Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software
Though DevOps is a relatively new role, it’s one that allows visibility across the whole operation, making it important to senior tech positions. In this session, Eran Kinsbruner will cover recommended areas where artificial intelligence and machine learning can be leveraged.
TechCrunch
APRIL 26, 2022
Today, one of these, Baseten — which is building tech to make it easier to incorporate machine learning into a business’ operations, production and processes without a need for specialized engineering knowledge — is announcing $20 million in funding and the official launch of its tools.
CIO
APRIL 25, 2025
AI skills broadly include programming languages, database modeling, data analysis and visualization, machine learning (ML), statistics, natural language processing (NLP), generative AI, and AI ethics. As one of the most sought-after skills on the market right now, organizations everywhere are eager to embrace AI as a business tool.
Advertiser: Data Robot
And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Sharing data with trusted partners and suppliers to ensure top value.
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