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AI and ML: Top Strategic Enterprise IT Investment Priorities in 2018

AI (Artificial Intelligence) and ML (Machine Learning) are the number one strategic enterprise IT investment priority in 2018 (named by 33% of enterprises), taking the top spot from container management (28%), and clearly leaving behind DevOps pipeline automation (13%), according to new Enterprise Management Associates (EMA) research.

At the same time, most enterprises are still struggling to understand the basics of how to successfully evaluate AI and ML solutions, how to put project performance metrics in place, and how to handle the eight key limitations of AI and ML technologies today, says EMA.

Some of the key benefits of artificial intelligence and machine learning identified in the research are:

■ Free up 30% of developer time and up to 50% of IT operator time used to support infrastructure

■ Eliminate operational silos as the root cause of cost, quality, and speed bottlenecks in DevOps

■ Proactively address operational issues and minimize mean time to repair (MTTR)

■ Curb alert flood and receive earlier alerts aligned with business priorities

■ Help the 72% of enterprises with ungoverned Kubernetes clusters to bring these back under corporate control

■ Operate a mostly self-driving hybrid cloud to unlock the 50% of data that cannot go into the public cloud today

■ Improve collaboration between developers, IT, and business

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E-commerce is set to skyrocket with a 9% rise over the next few years ... To thrive in this competitive environment, retailers must identify digital resilience as their top priority. In a world where savvy shoppers expect 24/7 access to online deals and experiences, any unexpected downtime to digital services can lead to significant financial losses, damage to brand reputation, abandoned carts with designer shoes, and additional issues ...

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AI and ML: Top Strategic Enterprise IT Investment Priorities in 2018

AI (Artificial Intelligence) and ML (Machine Learning) are the number one strategic enterprise IT investment priority in 2018 (named by 33% of enterprises), taking the top spot from container management (28%), and clearly leaving behind DevOps pipeline automation (13%), according to new Enterprise Management Associates (EMA) research.

At the same time, most enterprises are still struggling to understand the basics of how to successfully evaluate AI and ML solutions, how to put project performance metrics in place, and how to handle the eight key limitations of AI and ML technologies today, says EMA.

Some of the key benefits of artificial intelligence and machine learning identified in the research are:

■ Free up 30% of developer time and up to 50% of IT operator time used to support infrastructure

■ Eliminate operational silos as the root cause of cost, quality, and speed bottlenecks in DevOps

■ Proactively address operational issues and minimize mean time to repair (MTTR)

■ Curb alert flood and receive earlier alerts aligned with business priorities

■ Help the 72% of enterprises with ungoverned Kubernetes clusters to bring these back under corporate control

■ Operate a mostly self-driving hybrid cloud to unlock the 50% of data that cannot go into the public cloud today

■ Improve collaboration between developers, IT, and business

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Industry experts offer predictions on how AI will evolve and impact technology and business in 2025. Part 5 covers the infrastructure and hardware supporting AI ...

Industry experts offer predictions on how AI will evolve and impact technology and business in 2025. Part 4 covers advancements in AI technology ...

Industry experts offer predictions on how AI will evolve and impact technology and business in 2025. Part 3 covers AI's impact on employees and their roles ...

Industry experts offer predictions on how AI will evolve and impact technology and business in 2025. Part 2 covers the challenges presented by AI, as well as solutions to those problems ...

In the final part of APMdigest's 2025 Predictions Series, industry experts offer predictions on how AI will evolve and impact technology and business in 2025 ...

E-commerce is set to skyrocket with a 9% rise over the next few years ... To thrive in this competitive environment, retailers must identify digital resilience as their top priority. In a world where savvy shoppers expect 24/7 access to online deals and experiences, any unexpected downtime to digital services can lead to significant financial losses, damage to brand reputation, abandoned carts with designer shoes, and additional issues ...

Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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Broadcom

The 2025 Catchpoint SRE Report dives into the forces transforming the SRE landscape, exploring both the challenges and opportunities ahead. Let's break down the key findings and what they mean for SRE professionals and the businesses relying on them ...

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The pressure on IT teams has never been greater. As data environments grow increasingly complex, resource shortages are emerging as a major obstacle for IT leaders striving to meet the demands of modern infrastructure management ... According to DataStrike's newly released 2025 Data Infrastructure Survey Report, more than half (54%) of IT leaders cite resource limitations as a top challenge, highlighting a growing trend toward outsourcing as a solution ...

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Gartner revealed its top strategic predictions for 2025 and beyond. Gartner's top predictions explore how generative AI (GenAI) is affecting areas where most would assume only humans can have lasting impact ...