Artificial Intelligence for Cyber Security

AI is always known to be by learning. By digesting billions of data items, AI enhances its ability to “understand” cybersecurity dangers and risks. AI reasoning identifies risks more quickly. In seconds or minutes, AI evaluates correlations between risks such as malware files, strange IP addresses, or insiders.

Hackers can defeat security algorithms by targeting the data they train on and the warning flags they search for, thus machine learning and artificial intelligence can assist protect against cyber-attacks. According to internet statistics, the global market for artificial intelligence in cybersecurity is predicted to increase at a CAGR of 23.6 percent from 2020 to 2027, reaching $46.3 billion.

Because AI and machine learning can swiftly scan billions of data sets and hunt down a wide range of cyber dangers, from malware to shady behavior that could lead to a phishing attack, they are becoming increasingly crucial in cybersecurity.

Artificial intelligence aspires to mimic human intelligence. It has enormous potential in the field of cybersecurity. Artificial Intelligence (AI) systems can be trained to provide threat warnings, identify new types of malware, and protect critical data for enterprises if used correctly.

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Business Intelligence (BI) in Telecom Sector

BI (Business Intelligence) convert raw data into meaningful information with the help of a set of process, structure, and technology for the betterment of the organization. In a Simple way, BI can be defined as the processing of historic data to make benchmarks and KPI to identify the market trends and business status in a visual way. BI impacts an organization’s strategic and operational business with the help of actionable intelligence and knowledge. BI supports fact-based real-time decisions by using real and historical data.

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