AI technologies are becoming more critical to the world of business applications every year

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AI technologies are becoming more critical to the world of business applications every year. And with more integration, data sets, and machine learning capabilities, the technology will continuously get more advanced. When you couple the massive data explosion that is currently happening with the "Internet of Things (IOT)," there is a plethora of personal data we're putting out there to be mined. The need for AI technologies is required more and more to sort it all out. The plan by numerous technology vendors is to have AI evolve to include machine learning, reasoning, knowledge, planning, voice and speech recognition, text analysis, perception, and the ability to move and manipulate objects.

CRM solutions in the past were mostly on-premise and operated as Excel spreadsheet replacements or static contact management systems. There's been a shift towards deploying more cloud-based CRM systems that act as digital assistants. These are considered CRMs of the future. Software as a service (SaaS), mobile, and social are all becoming more prominent.

Today, there is a ton of available information across many devices and platforms. Companies need a way to integrate this "big data" (aka Business Intelligence) into their intelligent CRM in a way that produces predictive results. AI-powered CRM with machine-based learning is optimized for these large CRM data sets.

Machine learning is a subset of artificial intelligence. It relies on using statistical measures to construct intelligent computer systems in order to learn from databases available to it. Machine learning has been used in various applications. Some examples are medical diagnosis, image processing, prediction, speech recognition, financial services, and regression. The intelligent systems built on machine learning algorithms have the ability to learn from experience or historical data.

For example, it can enable you to:

• Determine buying trends from purchase history
• Provide better sentiment and intent analysis, product recommendations, and up-selling
• Increase customer retention
• Perform more accurate sales forecasting
• Increase productivity

 

Question: suggest and explain how artifical intellignce can be used by crowdfunding organisation