Keys to get the most out of Artificial Intelligence as an executive

Claves para exprimir al máximo la Inteligencia Artificial como directivo

The inevitable Artificial Intelligence revolution

It is not new for companies to use data to facilitate business decision making. However, the huge availability of data that we generate through digital devices, the current computing capacity and some techniques to build models are relatively recent. The current context puts in the hands of companies the necessary tools and potential to not be left behind.

The application of technologies based on Artificial Intelligence and Advanced Analytics is already transforming business models, organizations in a transversal way and even the way of operating in the markets. It would be very short-sighted to consider these technologies as a way to achieve increases in competitiveness or one-off cost savings. The speed of penetration and the huge capacity for transformation that they have can leave out of play those companies that do not make the effort to align their data with their strategy in the short, medium and long term.

Artificial Intelligence Capabilities

Considering that the future competitiveness of companies depends on these technologies, there is a great business and social challenge in the area of training and talent acquisition in these technologies. Not only technical profiles such as data scientists, developers or data engineers, but also executive profiles.

Having technical talent with the right knowledge, skills and experience is key to develop Artificial Intelligence projects. But we cannot forget that these technologies are applied to solve and improve business processes. You can have the most innovative AI solution on the market, but if it is not aligned with the company’s business strategy and objectives, it will not add value.

To ensure the success of digital transformation initiatives and achieve the expected ROI, companies need executive profiles that:

  • Understand the main concepts related to Advanced Analytics and Artificial Intelligence (statistical methods, predictive models, machine learning, mathematical optimization…).
  • Clearly understand the differences between these technologies, and know when and where to use each of them.
  • Know the potential of using this technology and how it can really help to improve business KPIs.
  • Are familiar with the practical considerations (equipment, IT infrastructure) that mark the success or failure of these initiatives.
  • Design strategies and lead teams by collaborating effectively with data scientists and engineers.
  • Know how to effectively lead the change management involved in the adoption of these technologies.

In this way, organizations will be able to apply these disciplines in an efficient and beneficial way, resulting in a real impact on the business.

AI training offerings focused on executives and corporations

As we have concluded in the previous point, there is a huge leap between technological capabilities and real business problems, so there is a need to train executive profiles in the field of AI and Advanced Analytics.

Normally when looking for training in Artificial Intelligence and Advanced Analytics we see a multitude of universities, postgraduate centers or online platforms that offer courses or programs, but always focused on technical profiles.

So… Who covers the training needs of the executive areas?

Numens focuses on this area that is scarcely covered by other entities. We make available to business profiles courses and training options that approach the main concepts, use cases and application potential of Advanced Analytics. The purpose for these courses is to guarantee the success of the adoption processes of these technologies in any type of company. 

We teach great innovative leaders:

  • How to identify the information that can become a differentiating element for your companies.
  • How to identify the business processes where Artificial Intelligence can be transformative, or enable new business models.
  • How to make the necessary cultural change, how to spread concepts or extend new ways of relating to data in an organization.
  • How to take the first steps, how to tackle the first projects to gain confidence, how to look for the necessary technical support or how to create in-house teams.

A tool to help you define specific strategic and operational lines of action to maximize the value of the adoption of Artificial Intelligence in your company. Avoiding the costly mistakes that are common when approaching disruptive technologies for the first time.

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