Skills Network Managers Need in the Age of AI

Digital transformation initiatives are rapidly changing businesses, and it only makes sense that job descriptions for IT teams are also shifting. With new skill requirements, the day-to-day activities of enterprise technology professionals must evolve too as technologies like artificial intelligence (AI) and machine learning becoming prevalent in the workplace.

AI is no longer a distant possibility; organizations are adopting it in earnest as use cases and applications materialize quickly. According to a 2017 survey by Forrester Research, 70% of enterprises expect to implement AI in 2018. An additional 20% said they would deploy AI to help them make decisions. Research by IDC predicts that global spending on cognitive and AI systems will grow nearly 55% this year to $19.1 billion and that 75% of enterprise applications will use AI by 2021.

Organizations need to have a clear vision of how AI can benefit their businesses and what that means in terms of people, processes and tools. All of that takes time to implement, and the path forward isn't always clear. With this in mind, it's important that organizations develop detailed implementation plans and invest in supporting infrastructure to develop AI applications and provide the speed and performance needed.

When it comes to enterprise networks, network managers are able to complete more value added tasks such as data mining, algorithm development and cybersecurity management with the help of AI-powered solutions. This slideshow will provide an overview of the top four qualifications needed to be a successful network manager as new technologies emerge and IT jobs evolve.

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