Predictions and recommendations for IT trends in 2024

2024 will be an exciting year for innovative technologies, with artificial intelligence (AI) at the forefront. People who have been working in the technology field for a while have long been aware of the potential of artificial intelligence. As artificial intelligence increasingly comes into public view, businesses must quickly determine the best ways to leverage these technologies and pay close attention to cybersecurity. As we enter the rapidly evolving digital age, factors such as IT data ownership will also become a focus of discussion throughout 2024.

1. Learn AI best practices

AI tools can be used in a variety of ways depending on the maturity of the organization and business use cases. In customer service, AI can be used to communicate with customers and provide troubleshooting advice and feedback. In addition, artificial intelligence also plays an important role in telecommunications companies. By accessing large amounts of data on previously successful markets, AI can help identify promising new markets. It can also use demographic data to identify buying trends, as well as what and how customers buy. These applications can help companies better understand customer needs and provide personalized services, thereby improving customer satisfaction and business development.

Some of the bigger risks involving artificial intelligence are security and data quality. To achieve optimal results, businesses need to scrutinize data quality to ensure it is accurate, reliable, complete, timely, and more. Assessing data accuracy, reliability, completeness, timeliness and other factors is an important step for companies to implement best practices.

When using artificial intelligence, understanding the best use cases for the enterprise to make the most of the data provided by artificial intelligence and ensuring alignment with the business approach is key to staying innovative and taking a structured approach.

2. Prioritize cybersecurity

Organizations in all industries should prioritize cybersecurity.

Cybersecurity is a rapidly evolving and critical field whose primary goal is to protect networks, devices, data, and confidential information. However, they face increasingly sophisticated cyber threats, ransomware, supply chain attacks and Internet of Things (IoT) vulnerabilities. While addressing these challenges, regulatory and compliance changes must also be considered.

Security must be a primary consideration, both on a business and personal level. Verify that monitoring applications and infrastructure are free of vulnerabilities, while prioritizing security applications such as strong multi- and SSO login/logout policies. Consistent daily effort will yield different results when under attack.

Like most industries, the telecommunications industry needs to protect its customers and its own networks. To ensure network security, network redundancies must be constantly updated and monitored to provide the most secure experience to all customers.

Remember: Security is more than just cybersecurity. This is intellectual property and data ownership. If you use artificial intelligence tools for your company’s data but don’t have an enterprise version, you are exposing your company’s data to the public. By 2024, IT data ownership will become very interesting. Who owns the IP used in AI? Does the AI ​​platform own everything it creates? Who owns the data? Once the data is introduced into the application, where does it go? These questions should be at the top of everyone’s mind.

3. Data quality is the key to success in the digital environment

Without high-quality data, you will not be able to obtain the required output from an artificial intelligence platform. Data quality is fundamental. If you can’t handle data well, you won’t be able to take advantage of powerful digital platforms, let alone artificial intelligence.

This means cleaning up your inventory and customer data and making sure you can run models on your own data so you know exactly what your system of record is. Are these documented? Are there good data transformation integration layers in place so that the data can be moved in real time or near a data lake or data warehouse and then fed into these models? These foundational layers are key to leveraging new digital technologies .

4. The development of 5G will be huge

From a telecommunications perspective, 5G will continue to develop and grow. Customers want their data at their fingertips, along with security and privacy, zero latency, higher capacity and greater bandwidth. Therefore, 5G is what it wants.

The advantages of 5G depend on a strong, secure and robust network. Therefore, it is necessary to explore how to provide 5G network functions through telecommunications services connected to mobile networks. In order to achieve this goal, we have to think about: How to cooperate with hyperscale operators and other large telecom companies to provide the best 5G experience?

5. Provide learning and innovation

Enterprise pair How well do you understand AI technology? How do you help your team learn about new platforms that are evolving every day? How do you stay on top of the technology and ensure your team has the skills to manage new technology platforms while keeping your customers, employees, and business safe?

Manipulating the keyboard yourself helps you learn new technologies better. Once you understand the technology, it becomes experience and understanding of how to utilize it on a daily basis.

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