UAE- Problem solving skills


(MENAFN- Khaleej Times) The industry for Artificial Intelligence, Machine Learning or Deep Learning has been perceived as an academic concept or scientific research solutions.

Business truly never realises the measurable business value of AI because of the reasons such as lack of skills and expertise, lack of system interoperability and no business alignment.

Lack of skills and expertise: This translates complex industry problems into AI solutions using machine learning, and data capabilities.

Jothi Periasamy

Lack of system interoperability: No inter-operable advanced computing platform to make AI, IoT and big data technologies work together.

No Business Alignment: Companies think AI is complex, time-consuming and carries high risk to implement and adapt.

The industry believes AI based products and solutions can only be implemented by professionals who have an advanced degree or Ph.D.S. To solve the real-world business problems, we need individuals who have deep skills and experience in the business domain instead of an advanced degree. Nowadays, there are several open source libraries (ex: Tensorflow) available with fully developed machine learning models (ex: Random Forest) for business to develop their own AI enabled products and services, so we are not expected to develop an AI model from the scratch instead we should know what AI model to use for a given business problem and how to use the AI model to solve the given business problem.

Also, data plays a significant role in an AI implementation, without data skills it's absolutely impossible to implement an AI model for real-world business. Compare to AI modelling skills, the business skills and data skills are core mandatory. To realise true business values of AI, it's absolutely critical to identify professionals who have deep business skills, data engineering skills and AI skills to lead any AI project
or initiatives.

To realise true business values of AI, it's absolutely critical to identify professionals who have deep business skills, data engineering skills and AI skills to lead any AI project
or initiatives.

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