3 Reasons Why The Promised Gains From AI Are Still Faraway
AI hype Is generating hundreds of billions of dollars in investment. Yet AI is still hobbled by inconsistent data, and crippled by siloed expertise. One of them-surprisingly-is that it's actually bad at simple math. Discover the other two in this insightful Forbes article.
Why is AI struggling with basic math?
AI systems, while capable of tasks like writing poetry and summarizing texts, often struggle with basic arithmetic. This limitation arises because AI is designed to identify patterns in data rather than perform precise calculations. For instance, the latest version of ChatGPT achieved only 64% accuracy on math problems, which is concerning for business applications where exact numbers are crucial.
What challenges do organizations face with their data?
Most large organizations deal with messy and inconsistent data due to years of quick fixes, acquisitions, and neglect. This 'technical debt' complicates AI application, as AI requires clean, reliable data to function effectively. Experts suggest that until companies address these data issues, the potential benefits of AI will remain unrealized.
How does siloed expertise affect AI success?
Siloed expertise can significantly hinder AI initiatives. Often, those who understand AI do not fully grasp the business problems that need solving, leading to a lack of collaboration. Successful AI implementation requires a partnership between data scientists and business staff to ensure that AI solutions are effectively integrated into operations. Without this collaboration, investments in AI may not yield the expected results.
3 Reasons Why The Promised Gains From AI Are Still Faraway
published by SIA Simon Bremer Consultancy
Collaboration
We are committed to working collaboratively with each other to achieve the best possible outcomes for our clients who are at the center of everything we do. In working collaboratively we acknowledge that every person working on the project plays a valuable role that contributes to achieving the best possible outcomes.
Openness
A commitment to openness in our communications builds confidence and greater cooperation. We are committed to encouraging our clients and all people who work on the project to provide feedback that will help us provide better services.
Respect
We have respect for the abilities, knowledge, skills, and achievements of all people.
Sustainability
Zero waste
The ultimate goal is to provide perfect customer value through a perfect value creation process that has zero waste.
Simon Bremer, Dipl.-Ing in communication, has many years of experience with digitizing work processes,
​Enterprise Resource Planning systems, programming individual solutions for customers within Microsoft Navision, Dynamics365, and Business Central.
Since 2020 also been working as a mentor and lean management trainer.
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