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14 in-demand cloud roles companies are hiring for

CIO

After marked increase in cloud adoption through the pandemic, enterprises are facing new challenges, namely around the security, maintenance, and management of cloud infrastructure. According to the Foundry report, 78% of organizations say that, in response to cloud investments made by the organization, they have added new roles.

Cloud 298
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Sustainable Software Engineering Through the Lens of Environmental

Xebia

Did you know that sustainable software engineering is a topic we frequently discuss and engage with? However, our conversations predominantly revolve around the economic dimension, such as optimizing costs in cloud computing, or the technical dimension, particularly when addressing code maintainability. The best part?

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8 top priorities for CIOs in 2023

CIO

Rationalizing the technology estate Over the past decade, enterprises have rapidly added powerful technology and cloud-based services to their portfolios. There’s an industry-wide push to reduce technical and data debt and reallocate those resources toward building the future, Conyard says. 

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How to Benefit From Cloud Based Application Services?

Mobilunity

As Cisco stated, in 2021, more than 94% of all companies will use cloud optimization services in different forms. Cloud solutions are also known to be of more economic benefits and budget savings, and more than 47% of businesses consider it the main reason to invest in cloud application development. Types of Cloud Apps.

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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.

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How to Hire AI Developers?

Existek

Besides, it requires expert knowledge of software engineering, programming, and data science. Deployment: They deploy AI models into production environments, often using cloud services, containers, or other deployment tools. This involves integrating the AI system with existing software or infrastructure.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. This approach is not novel.

DevOps 141