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AI Technology is Invaluable for Cybersecurity

Smart Data Collective

One of the most striking examples is in the field of cybersecurity. One poll found that 56% of companies use AI to enhance their cybersecurity strategies. On the other hand, many cybersecurity professionals are also using AI to safeguard their digital assets. AI technology is helping with cybersecurity in a myriad of ways.

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Can ML Fix Cybersecurity Challenges in Healthcare?

Smart Data Collective

One of the biggest examples is with cybersecurity. A growing number of cybersecurity professionals can use machine learning technology to fortify their defenses against cyberattacks. They will have to find approaches to cybersecurity that make the most of advances in machine learning. The State of Cybersecurity in Healthcare.

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How AI-Driven Cybersecurity Drastically Impacts Our Lives

Smart Data Collective

One of the most impactful ways that AI impacts our lives is by improving our cybersecurity technology. Sridhar Muppidi, CTO of IBM Security, created a very insightful video about the benefits of AI in the field of cybersecurity. It highlights some of the most significant reasons that AI is changing the field of cybersecurity.

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Promising Benefits of AI in the Financial Technology Market

Smart Data Collective

For example, banks now apply AI to assess credit risks with high accuracy. It’s critical to financial institutions such as banks and credit unions that earn revenue from lending money with interest. Hence, banks go through the pain of assessing every prospective borrower’s creditworthiness. Cybersecurity.

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Top Tools for Your Cloud Data Security Stack in 2023

Smart Data Collective

This can be done easily with the help of cloud data security tools that can automate and monitor key security functions. More notably, they have an intelligence data scanning facility that doesn’t break the bank, making it a great option for businesses trying to save on their cloud usage bill.

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IT Budgeting Practices for Data-Driven Companies

Smart Data Collective

Companies need to appreciate the reality that they can drain their bank accounts on data analytics and data mining tools if they don’t budget properly. Coming back to the point, typical IT requirements may include hardware, software licenses, cybersecurity measures, and even staff salaries if you have an in-house IT team.

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A Financial Revolution: J.P. Morgan’s Development of a ChatGPT-like AI for Investors

Analysts Corner

Morgan, the largest bank in the U.S., The AI could monitor financial markets continuously, providing investors with real-time updates, trend analysis, and predictions. Adopting stringent data protection protocols, investing in advanced cybersecurity defenses, and educating users on secure AI interactions will be vital.

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