Managing cloud migration challenges
Voice and Data|July,2023
As cloud migration gains momentum, network intelligence will become crucial in overcoming challenges and ensuring a successful migration
PRAMOD GUMMARAJ
Managing cloud migration challenges

In today's digital age, cloud computing has become an essential component for businesses seeking to stay competitive in their respective industries. Cloud migration is a process that involves transferring an organisation's data, applications, and other resources to a cloud-based infrastructure. This enables businesses to take advantage of numerous benefits such as flexibility, scalability, cost savings, and improved security.

Cloud migration, however, also presents various challenges such as network complexities, performance issues, and security risks. With the availability of smarter analytical technologies and tools, network intelligence is emerging as a critical tool for accelerating cloud migration. It does so by providing businesses with the necessary insights and intelligence to make informed decisions about their cloud infrastructure.

While cloud migration is critical for businesses to stay competitive, it often leads to challenges such as network complexities, performance issues, and security risks

SO, WHAT DOES NETWORK INTELLIGENCE MEAN?

In simple terms, one may define network intelligence as the process of collecting, analysing, and interpreting data from various network sources to gain insights into the network's performance and behaviour.

It involves using advanced tools and technologies such as artificial intelligence, machine learning, and data analytics to monitor network traffic, identify patterns and anomalies, and predict network performance. Network intelligence provides businesses with a real-time view of their network's health, allowing them to identify and address issues before they impact critical operations.

IMPACT ON CLOUD MIGRATION

This story is from the July,2023 edition of Voice and Data.

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This story is from the July,2023 edition of Voice and Data.

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