We live in the world of AI currently, and there is plenty of talk about what the future holds. With doubts over the future everywhere, one can predict that AI is soon going to be an imperative part of our lives. Considering the likely future impact of AI, there is a need to ensure that the right AI talent comes up and gets to the top to lead this wave of change. According to several key leaders from Huawei, this can only be achieved by changing certain approaches.

As a Huawei partner and a member of Huawei’s Key Opinion Leader Program, I joined three other experts conducting several keynotes at Huawei Connect in Shanghai all related to the question of how to develop talent in the AI era; Dr. Hao Lu, who is the Chief Innovation Officer at Yitu, Huang Weiwei, who is the Senior Management Consultant for Huawei, and Qian Wang, who is the Co-Founder of Mai Mai.

WeiWei mentioned that, “The adoption of AI technologies will not only make its products more intelligent and improve internal management efficiency; it could contribute as much as 90 per cent of total income even though AI headcount would be relatively small compared to the total number of employees.”

A Sequoia China report that was revealed recently mentioned that there are over 1,000 AI companies registered in China currently. These companies account for nearly one-fourth of all AI companies across the world. China is, hence, second only to the United States when it comes to the most number of enterprises linked to AI within the country.

The Impact of AI Talent on Company Performance

With the horizons dictating artificial technology expected to broaden in the future, one can tell that AI talent will have an imperative role to play in company performance. The talent that a company possesses in the field of AI dictates how well they’re able to manage the analytics for the future.

The best AI talent in the market will realize the performance of different models and harness their potential to help them perform at their full potential. This knowledge is what AI companies will crave in the future.

As the age of AI kicks in, the management philosophy will also change. While previously managements were involved in routine decision making and innovations, the AI age will define how organizations now rely more on their top talent to define and lead innovation. The innovation that the workforce inside an organization brings would be the differentiating factor for all forms of AI companies. Their workers would help propel them forward and foster innovation for them. Realizing the impact of their employees’ creativity in the overall company policy, organizations would also reward this talent accordingly.

AI now dictates a major part of the talent pyramid. AI professionals and data scientists have revamped the way people look at the pyramid because the decision making has come down from the top tier to skilled workers below. Data scientists and AI professionals are more involved in the decision making process as they are the ones leading the process of change within the organization.

What Does It Mean to the Talent?

With rapid advancements in AI, the top talent out there keeps a stringent check on the job market. Knowing that the talent will play an important role in AI advancements, it is pertinent to see what these advancements mean for all of this talent.

The following skills or qualifications will be expected of employees in the future:

More Specialized

Rather than being exhaustive and trying their hands at everything, employees of the future will have to specialize in one specific field; be it data labeling, machine learning or parallel computing, the upcoming talent should identify one facet of AI and start working on it. With the need for enhanced innovation and skills in the future, you cannot exhaust yourself by trying to study everything in one go.

More Comprehensive

The need for specialization, mentioned above, would require a more comprehensive approach towards models at work. This is to ensure that errors don’t spread and are not found in the first place. Since a single error in the analytics stage can destroy momentum, comprehension is something that should be guaranteed.

More Attentive  

Humans tend to make costly errors, too, when it comes to AI. This is exactly why attention is a quality expected from future AI talent. They should remain attentive and at the top of their game at all times.

Recruitment of Highly Qualified Talent

With the passage of time, and with developments in the field of AI, there will be a special focus on recruiting only the top qualified talent in the market. The core talent in the era of AI would be the highly qualified workers coming through and leading the change.

This highly qualified talent can relate to:

  • Application of AI
  • Cloud Computing
  • IoT
  • Industrial Robotics

The talent of the future would be required to:

  • Provide data insights
  • Apply AI technology across different scenarios
  • Maintain human computer interaction
  • Respond to dynamic changes
  • Customize demand
  • Diversify industry business
  • Maintain various business standards
  • Coordinate among different platforms
  • Maintain demand for safety and reliability

Main Strategies for Enterprises to Develop In-House AI Talent

With the heightened focus on ensuring the availability of top AI talent, organizations can also take the safe and reliable way out of developing this talent within their own enterprises.

The following are some strategies to augment the growth of in-house talent within your enterprise:

  • Have a clear vision of what you expect and want from AI talent in the short and long run.
  • Have multiple agile teams that deal with the customer’s journey.
  • Ensure the availability of data to the best data sets.
  • Maintain a culture that is driven by data.
  • Maintain an end-2-end lifecycle management for AI.

How Huawei Develops Top AI Talent

Huawei’s method of developing top AI talent is based on four strong pillars.

  • Continuous investment on basic research
  • Talent acquisition from a global scale
  • Strong framework and application.
  • Leading technology and solid theory.
  • Convenient platform with a learning mode.
  • Practical and up-to-date training.

Huawei Developer Program

As part of their efforts in this regard, Huawei has also built a developer program to foster the growth of talented AI individuals. This program will help Huawei in collaborating with developers, universities, research institutes and partners to build a better talent pool and ecosystem for supporting AI resources. Huawei has decided to invest over 140 million USD to ensure that AI talent education is supported and made a priority. This cost covers scientific research, AI courses, and talent training.

China has grown as one of the world’s most potent forces when it comes to AI. The country promises to revolutionize almost everything—from policing to driving to healthcare—by using AI. Beijing is investing big on the technology and plans to create an ecosystem that best works in its favor. Huawei has a strategic position in this regard for they will act as the pioneers of this change.

Learn more about Huawei Connect and Huawei’s efforts for creating AI talent by clicking here.

Ronald

Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach. He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation. He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions. Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining. Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

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