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5 Key Factors Investors Should Watch In AI This Year

Crunchbase News

These systems foster trust by positioning AI as a tool that enhances human decision-making rather than replacing it. Investors should evaluate whether companies are building systems designed to work in tandem with human users. Do their platforms include robust feedback loops and intuitive interfaces?

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New live online training courses

O'Reilly Media - Ideas

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 92
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 69
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DoiT International Acquires ProdOps, a Cloud Services Company | ProdOps

ProdOps

In the most recent acquisition for the company, DoiT International (DoiT), a global multi-cloud software and managed service provider with deep expertise in Kubernetes, Machine Learning, and Big Data, today announced that it has acquired ProdOps , a top provider of scalable software operations and infrastructure automation services.

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AI Engineer Vs. ML Engineer: Differentiating Between Roles

Mobilunity

Computer Science/Software Engineering (Bachelors) are good starters for an AI engineer, giving them core skills for creating highly intelligent solutions including programming, algorithms, data structures, databases, system design, operating systems, and software development.

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160+ live online training courses opened for May and June

O'Reilly Media - Ideas

Spotlight on Cloud: The Hidden Costs of Kubernetes with Bridget Lane , June 6. Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4.

Course 62
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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.