IT Execs shares a strategy for managing digital and cyber trends in 2023

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387 Views - 04/07/2023

Software vendors can no longer hide their shortcomings and software users can no longer shirk their responsibilities.

IT Execs shares a strategy for managing digital and cyber trends in 2023

Still a long way to go, he sees the digital supply chain finally being recognized as important as the physical supply chain. Geater also sees a vital need for suppliers to deliver quality and for consumers to control their own risks.

"Companies and governments around the world are waking up to the fact that the software they use to run their businesses and power the hardware and software solutions they use. and offering to customers represents a significant risk," he said.

1. Core technology - Top priority
The current political and macroeconomic situation is even worse than most people anticipated, and that is having a cooling effect on innovation, Geater noted.

People will focus more on cost-cutting and efficiency. However, that will not diminish the importance of the core technologies being developed.

"But it shifts the focus from new use cases, such as proactive cyber defense, to improving existing use cases like more efficient auditing," he said.

Geater argues that most supply chain problems come from mistakes or negligence that originate in the supply chain itself, and that open the door to traditional cyberattacks.

"It's a subtle difference but an important one. I believe the majority of discoveries arising from improving supply chain visibility [by 2023] will highlight that most Threats arise from mistakes, not malice," says Geater.

2. Year AI and ML
The new year will put a new focus on machine learning operations (MLOps), predicts Moses Guttmann, CEO and co-founder of ClearML, an MLOps platform. Considering how machine learning has evolved as a discipline, technology, and industry is important.

He expects spending on artificial intelligence and machine learning to continue to grow as companies seek to optimize incremental investments and ensure value, especially in a challenging macroeconomic environment. awake.

"We've seen many of the top tech companies announce layoffs by the end of 2022. Likely none of these companies are laying off their most talented machine learning employees," Guttmann said.

However, to fill the gaps of fewer people in technical-intensive teams, companies will have to rely more heavily on automation to stay productive and ensure projects complete. He also expects to see companies using ML technology put in place more systems to monitor and manage performance and make more data-driven decisions about how to manage ML or data science teams. Whether.

"With clearly defined goals, these engineering teams will have to focus on more key performance metrics, so leadership can gain a deeper understanding of machine learning ROI. Gone are the days of those key performance indicators. ambiguous benchmarks for ML," says Guttmann.

3. End of Talent Hoarding
Artificial intelligence and machine learning have become more popular over the past decade. People working with ML are likely to be the most recent hires as opposed to more permanent employees who have worked with AI for years.

Many big tech companies started hiring these types of workers because they could handle the financial costs and keep them away from competitors — not necessarily because they were needed, Guttmann noted.

"From this perspective, it is not surprising to see a lot of ML workers being laid off, considering the surplus in larger companies. However, when the era of ML talent hoarding comes to an end, it has can usher in a new wave of innovation and opportunities for startups," he commented.

With so much talent now looking for work, he hopes to see more workers displaced out of big tech and into SME businesses or startups.

4. Cloudy Predictions
Drew Firment, vice president of corporate strategy at Pluralsight, thinks basic cloud skills will remain the most in-demand and relevant workers for 2023. That's despite ML. and AI gets the most attention.

According to Pluralsight's State of Cloud report, 75% of technology leaders are building all new products and features in the cloud in the future. However, he notes that only 8% of technologists have significant cloud-related skills and experience.

Ironically, there will continue to be a lot of demand for lower-level cloud infrastructure skills because using those technologies successfully requires more people than higher-level offerings, Mattias Andersson, Lead developer advocate at Pluralsight added.

"For example, many organizations now want to own and manage their own Kubernetes clusters, prompting them to hire Kubernetes administration skills when they can offload the cloud provider," Andersson said.

5. Tech Talent Shift
The expected shift from consumer to talent creator will be the key differentiator for cloud leaders by 2023, added Firment. Gartner reports that 50% of enterprise cloud migrations will be delayed by two years or more due to a lack of cloud skills – directly impacting businesses' ability to achieve cloud maturity and return on their technology investment.

"To overcome the challenges of cloud adoption, businesses must invest as much effort in moving their talent to the cloud as in migrating their applications," Firment said. "Lift and change migration strategies limit the benefits of cloud platforms, and this approach doesn't work well for workforce transformation either."

Achieving a sustainable transition to cloud adoption and maturity requires businesses to strategically invest in skills development programs designed to achieve cloud fluency at volume. important, he urged.

6. Multi-Cloud Adoption
Avoiding vendor lock-in is an important goal for 2023. According to Andersson, it's a strategy currently prevailing in the industry landscape. Many enterprises are embracing multi-cloud by design or by accident.

"Increasing multi-cloud adoption will accelerate the need for the tools needed to manage increasing complexity as businesses grapple with their deployment timescales. The trio of challenges and multi-cloud solutions will be mainstream in 2023 covering security, cost, and performance," Andersson said.

This will force another requirement for multi-cloud strategies, he added. Technologists must become multilingual across two or more cloud providers.

"Given the existing shortage of cloud talent, expect the multi-cloud strategy trend to put more strain on the existing skills gap," he predicted.

7. Open Source Role
Focusing on ML operations, management, and governance will force MLOps teams to do more with less. According to Guttmann, businesses will adopt more off-the-shelf solutions because they are less expensive to manufacture, require less research time, and can be customized to fit most needs.

"MLOps teams will also need to look at open-source infrastructure rather than being locked into long-term contracts with cloud providers. Although organizations that do ML at super-large scale certainly can. benefit from integration with their cloud providers, but it forces these companies to work the way the provider wants them to work," he explains.

That means users may not be able to do what they want, the way you want, he warns. That also leaves users at the mercy of the cloud provider for increased costs and upgrades.

On the other hand, open source provides flexible, cost-effective and efficient customization. Users can even modify the open source code to make sure it works exactly the way they want it to.