Implementing AI within the MELDS framework

Supervised Machine Learning

In Paul R. Daugherty and H. James Wilson’s book Human + Machine: Reimagining Work in the Age of AI the authors describe five principles they deem necessary for companies to succeed in the burgeoning age of Artificial Intelligence. These principles are as follows: mindset, experimentation, leadership, data, and skills. Or as the authors have acronymized: MELDS.

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The first step for any company aiming to integrate AI into their processes is establishing the right mindset. The same fears of obsolescence that plagued workers as mechanization and automation took hold of the industry in the 20th century have resurfaced today in regards to Artificial Intelligence. It is important to share a mindset of collaboration and augmentation between humans and machines.

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How will AI Transform Business?

Executives must lean into an attitude of innovation and re-imagination of their core business processes. Companies are still discovering just how many ways AI will transform businesses.  Executives need to maintain a mindset of openness to change  adapt to coming opportunities in order to maintain competitiveness.

With the right mindset comes a need for experimentation. As we discuss in our blog post,  there is much to be learned on how best to utilize AI to improve business processes. Key decision makers must provide the agency and resources to experiment with AI throughout the organization.

Innovation Requires Leadership

As with any experimentation, there will be failures and successes. Maintaining a mindset conducive to innovation requires steadfast leadership. Leaders of businesses leaning into the AI age must show their teams the benefits of discovering how to best utilize AI technologies. In addition, leaders need always consider ethical, moral, and legal implications of the technologies and their application.

Successful implementation of AI requires large amounts of data. Businesses need to establish data collection throughout the organization and its processes. This also means ensuring the quality of the data collected is usable via collection and data tagging methods. Data cannot be siloed between departments and must represent the organization as a whole.

Implementing AI requires change throughout an organization on all levels. The best means to facilitate this ongoing change is through active development of skills. Leadership must provide the necessary resources for team members to improve their understanding of AI for successful implementation.

Successful AI implementation requires Human-in-the-Loop

Successful implementation of Artificial Intelligence requires humans in the loop on all levels. AI is a critical tool from planning to data collection and cleaning, to customer interactions.  It is extremely powerful when used to augment existing human workers, not replace them.

Daugherty and Wilson argue the AI revolution is already upon us.  Organizations everywhere can discover and capitalize on the benefits of embracing the MELDS framework. If you’re interested in how AI can be used to enhance and transform businesses, give Human + Machine a read or listen.

At swivl we empower companies to utilize AI in their daily operations without getting buried in the minutiae of a new and complex technology. We believe the success of enterprises embracing AI lay in human-in-the-loop interfaces.  These platforms allow human workers to work alongside and train their new AI team members.

We invite you to meet Hoover, our Intelligent Assistant to learn more about swivl, how we can help you implement AI to make you more competitive while keeping Humans-in-the-Loop.

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