Image: SAP image library (Royalty free)

Creativity, ideation, and critical thinking must be the focus to have a human-centered AI environment, where people use AI to make a better world.

The surplus of tools raised after the recent developments in AI created vast opportunities to improve human conditions, protecting the environment and thus expanding human capabilities while having conscious consumers capable of making data-driven decisions.

In this new world, there could be concerns about decision governance and creativity, especially when multiple tools are available to provide insights and could be taken as decision-makers about intellectual production or business-related. The center of the discussion is the use of AI to boost productivity and create new opportunities. The aim is not to create an all-in-one solution to cover broad requirements with a single solution, instead product-centric and specific solutions based on real-time data become the drivers to improve problem-solving capabilities, thus providing immediate response to market requests supported by human decisions.

The need to create human-friendly and ethically based products is inherent to the technology, you can learn how SAP creates products based on the AI Ethics Policy to help the world run better and improve people´s lives.

From sustainable supply chains with generative AI assistants to improve companies’ responsiveness to their customers’ needs and increase their competitiveness. For company interactions that require large data processing before making decisions and new ways to cover industry needs across appropriate consultancy activities to listen to their needs and create customer value-driven solutions.

There is a need to democratize AI to make it more accessible to everyone and then expand human capabilities towards a broad digital literacy, therefore coping with the increased request of people enabled to drive the new tools and technologies most of them associated with AI. Lifelong learning adaptability becomes a crucial skill to remain updated about the newest technologies and required skills for future workers since new jobs will be created to replace repetitive and non-decisionmaking activities, where creativity, ideation, and critical thinking become the main contributors to the data provided by the IA. Companies require upskilling and reskilling people to remain competitive to support their customer’s needs in the changing world.

The learning goals must be smart, meaning specific, measurable, achievable, realistic, and time-based. The basis of smart goals is self-discipline where unstoppable and strong habits become the cornerstone of continuous learning. Therefore, people remain technologically engaged, and new developments do not represent a challenge to embrace and then become competent in market and industry needs, avoiding career stagnation and relegation in a continuously changing world. The people must remain aware of the changes and upcoming skills requirements. Hence, a new term appears in the scene, the de-skilling process, where a self-aware person associates the market and technology trends with their current skills, to adopt new trends avoiding the growth on existing or past learning paths.

Future generations must move from digital consumers to digital producers when people are challenged by disruptive changes, where creativity flourishes and produces fantastic results. This change must start with younger people, where parents and teachers can encourage technology use for creativity. At the same time, their early ages become crucial to embracing learning and development habits, supporting future career and entrepreneurship development.

There is no doubt that in upcoming years AI will strive to support groundbreaking technological advances, it is important to highlight that human is the driver to support those changes and AI must be observed as a tool rather than a self-aware decision-making technology.

Finally, the data value is concentrated on their uniqueness and instant need. Ultimately the person who collates those into a valuable result to keep the human in the center to make the final decision.

Learn here how to automate processes, optimize resources, and predict outcomes to run faster and smarter enterprises