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How ML System Design helps us to make better ML products

Xebia

Table of Contents What is Machine Learning System Design? Design Process Clarify requirements Frame problem as an ML task Identify data sources and their availability Model development Serve predictions Observability Iterate on your design What is Machine Learning System Design?

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Overcoming the 6 barriers to IT modernization

CIO

It adopted a microservices architecture to decouple legacy components, allowing for incremental updates without disrupting the entire system. Additionally, leveraging cloud-based solutions reduced the burden of maintaining on-premises infrastructure.

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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. As organizations increasingly migrate to the cloud, however, CIOs face the daunting challenge of navigating a complex and rapidly evolving cloud ecosystem.

Cloud 147
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Unit 42 Predicts the Year of Disruption and Other Top Threats in 2025

Palo Alto Networks

As a result, many organizations will prioritize strategies that ensure swift and secure recovery, such as immutable backups, advanced recovery planning and redundant systems designed to minimize downtime. This marks a significant change in how businesses approach ransomware.

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Securing Remote OT Operations:

Palo Alto Networks

Building a Resilient Access Infrastructure A resilient security framework for remote OT environments must address the unique conditions and constraints of OT networks, especially where legacy equipment and older operating systems are prevalent. This post was originally published on Cybersecurity INSIDERS.

Security 111
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Why The Next Phase of AI Adoption Hinges On AI-Enablers 

Crunchbase News

Here, its important to remember that it was infrastructure pioneers who paved the way for consumer-driven services and transformative industry solutions that later took shape. The resource management tools we call AI enablers make it easier to use databases, streaming, storage and caching.

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Why GreenOps will succeed where FinOps is failing

CIO

Making emissions estimations visible to architects and engineers, such as the metrics based on the Green Software Foundation Software Carbon Intensity , along with green systems design training gives them the tools to make sustainability optimizations early in the design process. Long-term value creation.