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Going beyond No-Ops with Touchless-IT-Ops

Capgemini

No, really – what is “No-Ops”? In 2011, Forrester released a report entitled Augment DevOps With No-Ops and noted that “DevOps is good, but cloud computing will usher in No-Ops.” The potential benefits here include significantly faster speed-to-market and higher quality and cost savings.

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6 DevOps Best Practices for Success

Groove Technology

According to a Google survey, 86% of enterprises believe their company must create and begin production of new software as soon as possible. DevOps aims to accelerate the delivery of high-quality software solutions by automating and merging the work of development (Dev) and IT operations (Ops), which are normally performed independently.

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Accelerate release lifecycle with pathway to deploy: Part 2

IBM Services

As enterprises embrace cloud native and everything as code, the journey from code to production has become a critical aspect of delivering value to customers. Platform Engineering enterprise catalog offering multiple self-serve capabilities. This helps adoption and acceleration.

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MLOps and the evolution of data science

IBM Business Partners

The information can deepen our understanding of how our world works—and help create better and “smarter” products. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

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The ESG Data Challenge: Part 1

Infosys Consulting

Given the myriad uses of this data, FIs need to ensure its quality to drive adoption within various lines of businesses. Hyperscalers also collaborate with organizations to provide ESG, public, weather, air quality, satellite imagery, and other such data to its subscribers. web scraping) to find alternative data.

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Everything You Need to Know About Support as a Service in 2022

Influx

Support as a Service allows for high-quality, consistent coverage with faster response times. Hiring an external customer service team may seem like a risk, but adding an extra layer of support alleviates pressure on the internal team and allows them to focus on things like support processes, product improvements, and future planning.

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Managing Artificial Intelligence Technology Risk

SIG Speaks

Complex product/development: Vend SaaS offerings are often embedded with AI and Machine learning algorithms that make it more complicated and opaque than traditional systems. Robust data management creates quality data which helps AI systems make better predictions or classifications and helps manage bias risk.