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    Let us discuss about some of them in detail.

                  Soft Skills

                  It is said that AI can replace hard-skilled employees and employees with greater soft skills will always
                  remain in demand. Empathy, leadership, collaboration, creativity are some key skills that will always be
                  in demand.

                       Data literacy skills: It is said that ‘There is no good AI without good data’. AI analysis can be biased
                      if  the  data  source  is  not  reliable.  Employees  with  strong  data  literacy can  recognise  the  wrong
                      patterns which will be useful for AI training.

                       Collaboration  skills:  Organisations  expect  their  employees  to  work  in  a  collaborative  manner.
                      Departments like  Design  and  Marketing  need  to  collaborate with  each  other  to  reach to  user
                      experience and develop machines accordingly.
                       Critical thinking skills: The ability to think critically will be more important for employees, as such
                      people will come up with innovative ideas, solve complex problems using logic and reasoning.

                       Leadership  skills:  The  workplace  in  future  will  have  project-based  teams, remote teams with
                      flexible structure unlike present day hierarchical structure. So, individuals will need traits like being
                      inspiring, helpful and the best versions of themselves to be better leaders.

                       Adaptability skills: With fast changing scenarios specially the advancement taking place in the field
                      of AI, employees with the ability of flexibility and adaptation will be much more at peace and will
                      take these developments as an opportunity to grow.

                  Technical Skills

                  Technical skills are the abilities or knowledge used for practical tasks in the field of science, technology,
                  engineering, etc. Following are some of the technical skills required in the field of AI:

                       Programming  languages: In  the field  of AI, one must know  how  to work with  programming
                      languages which is essential in order to design various machines. Java, C, C++, R, Python, etc. are
                      examples of such languages.

                       Machine learning algorithms: Machine learning is an essential aspect for creating AI system as
                      they enable the machine to learn from its past experiences without being explicitly programmed.
                      Thus, one must be proficient in such machine learning algorithms.
                       Artificial  neural networks: Such  networks  mimics the  functioning  of  the  human  brain. An
                      AI  professional is expected  to learn how  to solve complex problems such  as face recognition,
                      handwriting recognition and pattern recognition.

                       Mathematics and algorithms: Applied mathematics and algorithm is considered a necessary skill
                      in the field of AI. They should be familiar with problem-solving skills and analysis skills, along with
                      the knowledge of mathematics to solve complex AI-related tasks.

                       Signal processing techniques: AI systems are fed with huge chunks of data in various formats. In
                      order to extract meaningful information one must acquire the knowledge of solving problems using
                      advanced signal processing algorithms.

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