The move to cloud infrastructure can help brokers reduce costs, increase flexibility and scalability, and improve security and reliability. However, it is important for brokers to carefully evaluate their cloud provider options and ensure that they are complying with any relevant regulations and industry standards.

Broking involves buying and selling securities such as stocks, bonds, and other financial instruments on behalf of clients. As a stockbroker, we have been using and focusing on technological advancement and its adoption as it is playing an increasingly important role, particularly in the areas of infrastructure, data analysis, decision-making, risk management and much more.

What is interesting is the extent of Artificial Intelligence (AI) & Machine Learning (ML) which play specific roles in the broking industry.
AI can analyze vast amounts of financial data to identify trends and patterns in the market. This can help brokers make more informed investment decisions and provide better advice to their clients.

As we know, AI is emotionless and can be effectively used to automate the trading process, enabling brokers to execute trades more quickly and efficiently. This can help reduce the risk of human error and improve overall trading performance.

If we talk about risk management, AI can be used to identify potential risks and help brokers manage those risks more effectively. This can include analyzing market data, identifying potential threats to portfolios, and recommending risk mitigation strategies.

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