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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly Media - Ideas

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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Data trends in 2025

Xebia

Tools to watch in this space are Databricks AI/BI Genie (Databricks AI/BI Genie), Snowflake Cortex Analyst (Snowflake Cortex) or domain-specific tools such as Akkio ([link] for advertising agencies. We observe that the skills, responsibilities, and tasks of data scientists and machine learning engineers are increasingly overlapping.

Trends 130
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8 open source companies from YC Demo Day Winter ’22

TechCrunch

How it says it differs from rivals: Tuva uses machine learning to further develop its technology. They’re using that experience to help digital health companies get their data ready for analytics and machine learning. Founders: CTO Dillon Carns and CEO Alex Feiszli left their software engineering gigs to develop Netmaker.

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10 most in-demand generative AI skills

CIO

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. They’re also seeking skills around APIs, deep learning, machine learning, natural language processing, dialog management, and text preprocessing.

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What is DataOps? Collaborative, cross-functional analytics

CIO

Where DataOps fits Enterprises today are increasingly injecting machine learning into a vast array of products and services and DataOps is an approach geared toward supporting the end-to-end needs of machine learning. The DataOps approach is not limited to machine learning,” they add.

Analytics 195
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AI Engineer Roles And Responsibilities Explained

Mobilunity

Currently, 27% of global companies utilize artificial intelligence and machine learning for activities like coding and code reviewing, and it is projected that 76% of companies will incorporate these technologies in the next several years. Develop and support the software development life cycle and its infrastructure.

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Zilliz, the startup behind the Milvus open source vector database for AI apps, raises $60M, relocates to SF

TechCrunch

We’ll update this if we learn more. The capital and relocation speaks not just to key moment for the company, but also for the area of machine learning and wider trends impacting Chinese-founded startups. The total raised by the company is now $113 million.