Top 3 factors for AI adoption

AI adoption

Almost 37% of organizations have invested $5 million or more in cognitive technologies, states a survey by Deloitte. Inside and under every app we use every day there lies the revolution of technology. A revolution that started decades ago is now empowering organizations to deliver better and smarter services.

30% of the global market will have one fragment of AI used in their sales processes by 2020, says a 2016 research by Gartner.

The demand for artificial intelligence professionals has rapidly increased. But since AI adoption is still in its infancy there is a dearth for talent. There is no doubt that the AI is going to grow, however, we need to realize that this is going to cause a major impact to the society if this skill-gap won’t be filled in due time.

The infographic clearly shows 3 major factors to consider before adopting AI.

How can an organization gain maximum benefit from AI?

Artificial intelligence has made a huge contribution to the field of product development and distribution, in the field of operations and decision making. AI technology is becoming more and more diverse that it now enhances work productivity as well.

The percentage scale of how AI has helped the organizations:

  • Improvement of current product – 44%
  • AI creates new products – 27%
  • AI pursuing new market – 24%

The percentage scale of how AI has helped in decision making:

  • Optimizing internal operations – 42%
  • Help make better decisions – 35%
  • Optimizing internal operations – 31%
  • Helped capture and apply scarce knowledge – 27%

The percentage scale of how AI enhanced work productivity:

  • Helps free workers to be more creative – 31%
  • AI reduces headcount through automation – 24%

What are the challenges faced?

Artificial intelligence being the most hyped technology, it is clear that there will be a challenge. As new technologies emerge so will the challenges, and with AI there is going to be a lot of challenges coming our way.

Let us look at the areas where AI strikes as a challenge in an organization:

  • Integration of AI – 39%
  • Data issues – 39%
  • Cost of AI solution development – 36%
  • Lack of relevant skills in AI – 31%
  • Proving business value – 30%

To overcome such hurdles highly qualified and skilled professionals must be developed.  This can only be possible if professionals start re-skilling themselves with the relevant skill-set required for such job roles. Having someone skilled enough to work with artificial intelligence can be a game changer to the organization and the business. Skills such as Python and R programming, Machine Learning, Data Science, Spark, Hadoop, SAS, and Data Mining etc. are the top skills in AI today.

What are the required skills that organizations are looking for today?

Some of the greatest in-demand skills include projects managers, AI researchers, data scientists, AI software developers, business leaders (to interpret AI results), user experience designers, subject matter experts, change management, and transformation experts etc.

If you’re aiming to fill the AI gaps, it is highly recommended to enroll in an artificial intelligence certification program today. The world is in dire need for AI professionals. Taking up a credible certification course will help break AI barriers. Stop thinking and start learning today.

AI adoption

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