Cloud Industry Salaries, Best Talent Attraction Strategies & More in this Week’s Top Reads

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Salaries on offer in the Cloud sector are among the highest in the IT industry. The Cloud job market is on a roll, but how is it faring in terms of addressing the gender pay gap and adjusting for a looming recession? Mike Loukides, VP of emerging tech content strategy at O’Reilly Media, answers these questions in depth. Jonah Dimeo, managing director of MorganFranklin Consulting, also opens up on the best talent retention strategies to fill crucial cyber security roles and retain talent.

We also looked at research from Aberdeen Strategy & Research’s Jim Rapoza to learn the top roadblocks IT leaders face when embarking on a  database modernization journey. In an insightful thought leadership article, Andrey Koptelov, Innovation Analyst at Itransition, uncovers the top risks associated with Machine Learning implementations and ways to manage those risks.

Here’s a look at this week’s top reads from Spiceworks News & Insights.

The Cloud job market: Can a looming recession spoil the party?

In 2022, Cloud technology specialists make, on average, $182,000 per year, with hybrid workers ($188,000) earning slightly more than full-time remote employees ($184,000). The demand for cloud specialists far exceeds their availability today, indicating that average salaries could rise further in the year ahead. But is the Cloud job market recession-proof? 

In a conversation with Spiceworks News & Insights, Mike Loukides, VP of emerging tech content strategy at O’Reilly Media, discusses the state of the gender pay gap and the question of job security in the Cloud sector. He also looks at the existing skills shortage, how organizations can address it, and whether a looming recession can play havoc with career opportunities in the sector.

Click here to read more about the state of the Cloud sector job market in 2022.

Attracting and retaining talent in the cybersecurity industry

The demand for specialized cybersecurity expertise, especially mid-level security professionals, significantly exceeds the available supply. This is because these professionals can bring immediate value to an organization and grow with the company and provide a solid return on a company’s investment in them. 

However, attracting and retaining this talent can be difficult with stiff competition for a limited pool of security professionals. In an insightful thought leadership article, Jonah Dimeo, the managing director of MorganFranklin Consulting, discusses the importance of developing accurate job postings to attract talent within the industry. He also explains why organizations should offer future growth rather than specific posts and move beyond “Spray and Pray” recruiting strategies to attract the best talent in the industry.

Click here to learn about the best ways to attract and retain talent in the cybersecurity industry. 

Why database modernization isn’t as simple as it seems

According to Statista, the total enterprise data volume will increase from approximately one petabyte to 2.02 petabytes between 2020 and 2022. To store, secure, structure, and process such vast volumes of data, today’s organizations need modernized database infrastructures that are secure, scalable, resilient, and future-proof. 

Research by Aberdeen Strategy & Research has revealed that businesses that have completed their database modernization journeys are 70% more likely to effectively implement new technologies, 55% more likely to report improved database performance, 50% more likely to see reduced infrastructure costs, and 2.2x more likely to have less data management complexity. But is there a magic pill solution to modernize a database infrastructure without incurring huge costs, disruptions, and latency?

With insights from Jim Rapoza, VP and principal analyst at Aberdeen Strategy & Research, Spiceworks News & Insights looked at the best data modernization strategies IT leaders should implement to overcome the major roadblocks that threaten to derail the journey. Considering that only 30% of digital transformation efforts are successful, IT decision-makers need to utilize the right solutions and work with experienced partners to gain the deep analytics, tight integrations, secure monitoring and hardening, and strong resilience needed to build data infrastructures that run today’s businesses. 

Click here to read more about the best database modernization strategies for today’s IT leaders.

Overcoming the top risks associated with Machine Learning implementations

Nowadays, machine learning is a backbone of operations for many organizations. However, it is not uncommon for today’s ML algorithms to make decisions that are flat-out wrong, biased, or unethical. This is because ML-based tools and applications make decisions based on probability rather than certainty and the output of an ML algorithm is a result of an informed prediction rather than a definitive answer to what is going to happen. 

Developing and refining advanced ML models takes a lot of investment, time, and patience. Yet, many risks associated with machine learning implementations may derail years of research and investments. In an insightful piece for Spiceworks News & Insights, Andrey Koptelov, an Innovation Analyst at Itransition, dissects the top risks associated with ML implementations and offers insights on how organizations can manage these risks to make the most of the promise that AI offers.

“It’s essential to treat an ML system as a human being. We can draw a parallel with Formula 1 drivers’ training. Regardless of how a real F1 VR booth feels, it will never completely and accurately reflect drivers’ skills on the real track during a competition. This is why it’s paramount to expose algorithms to random and extreme conditions as much as possible prior to rollout,” Koptelov says.

Click here to read about the top risks associated with ML implementations and the best ways to manage them.

As always, we invite you to explore our expansive coverage of the latest in the tech industry on Spiceworks News & Insights.   

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