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Published Date: 2/09/2024
A new discipline is rising, focused on applying AI research to real-world problems, bringing science and engineering together to create practical value.
A new discipline is rising, focused on applying AI research to real-world problems, bringing science and engineering together to create practical value.
We are on the cusp of a fourth AI winter, as doubts grow about AI's ability to deliver tangible value. But there's still time to prevent this downturn, and the answer lies in a long-overlooked discipline.
With most scientific breakthroughs, labs hand off discoveries to engineers to turn into real-world applications. However, AI breakthroughs lack a distinct discipline for applied artificial intelligence, leading to data scientists being tasked with engineering solutions, resulting in 87% of AI projects failing.
Enter engineered intelligence, an emerging field focused on applying AI research rooted in engineering to create practical value. This discipline enables domain experts, scientists, and engineers to craft intelligence solutions without becoming data scientists.
Leading organizations are rebuilding research-to-engineering pipelines, forming new partnerships with academia and tech vendors, and creating ecosystems for AI research to be handed off to intelligence engineers.
The result? Breakthrough applications in tangible use cases that create value, make it into production, and wouldn't have been discovered by data scientists or tech vendors alone.
To introduce intelligence engineering to your organization, follow these five practical steps
1. Create a heatmap of expertise across existing processes.
2. Assess which expertise is most valuable and scarce.
3. Choose the top five most valuable and scarce expertise areas.
4. Analyze ROI, feasibility, cost, and timeline to engineer intelligent solutions.
5. Invest in execution.
By embracing engineered intelligence, organizations can create a new wave of value with AI, extending beyond existing expertise to new opportunities for safe, practical value creation.
As organizations, industries, and educational institutions build programs for engineered intelligence, we'll unlock AI's economic and societal potential, creating new jobs and ushering in a new era of value creation.
FAQS:
FAQS:
Q What is engineered intelligence?
A Engineered intelligence is an emerging discipline focused on applying AI research rooted in engineering to create practical value.
Q Why do most AI projects fail?
A Most AI projects fail because they lack a distinct discipline for applied artificial intelligence, leading to data scientists being tasked with engineering solutions.
Q How can I introduce intelligence engineering to my organization?
A Follow the five practical steps outlined in the article to introduce intelligence engineering to your organization.
Q What are the benefits of engineered intelligence?
A Engineered intelligence enables domain experts, scientists, and engineers to craft intelligence solutions without becoming data scientists, leading to breakthrough applications in tangible use cases.
Q What is the future of engineered intelligence?
A As organizations, industries, and educational institutions build programs for engineered intelligence, we'll unlock AI's economic and societal potential, creating new jobs and ushering in a new era of value creation." "Q: What is engineered intelligence?
A: Engineered intelligence is an emerging discipline focused on applying AI research rooted in engineering to create practical value.
Q: Why do most AI projects fail?
A: Most AI projects fail because they lack a distinct discipline for applied artificial intelligence, leading to data scientists being tasked with engineering solutions.
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