MIT Technology Review | MIT Technology Review & Microsoft present: Taking AI to the Next Level in Manufacturing @technologyreview | Uploaded April 2024 | Updated October 2024, 8 hours ago.
Few technology advances have generated as much excitement among business leaders as artificial intelligence.
When it comes to innovating manufacturing processes with AI, ambitions are high, and many manufacturers are looking to gain a competitive advantage by implementing AI-powered solutions.
Discover how manufacturers are approaching AI adoption. Download the new report by Insights, the custom content arm of MIT Technology Review, to learn more: info.microsoft.com/ww-landing-taking-ai-to-the-next-level-in-manufacturing.html
This report was not written by MIT Technology Review’s editorial staff. This video was produced by MITTR Studios in partnership with @Microsoft.
MITTR Studios is the custom video storytelling arm of MIT Technology Review. The editorial staff of Technology Review had no role in the creation of this content.
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Transcript:
Few technology advances have generated as much excitement among business leaders as AI.
Recent research produced by MIT Technology Review Insights, in partnership with Microsoft, indicates that reducing data, talent, and organizational barriers to achieve scale will take AI to the next level in the manufacturing sector.
MIT Technology Review Insights conducted a global survey of senior executives and experts, seeking to better understand how manufacturers can accelerate their AI journey. The result? New innovation is on the horizon.
Ben Armstrong, Executive Director of MIT’s Industrial Performance Center, brings valuable insight on this topic, and cites exciting implications to help creative problem-solvers make production more efficient, higher quality, and faster.
It starts with a business problem ... And then working backward, what set of technologies and talents might be able to address this problem?
AI technology ... can help individuals learn what's working and what's not, so they can do rapid experimentation.
Manufacturers rightly view AI as integral to the creation of the hyper-automated intelligent factory, but these sought-for AI gains are specific to different manufacturing functions.
In engineering and design, 58% of survey respondents expected spending growth of more than 10% in the next two years, and 43% for factory operations.
To take your organization’s AI implementation to the next level, and unlock new opportunities for innovation, get your game plan started.
Gain these and other insights from the manufacturing sector in MIT Technology Review Insights Report, and step on the AI accelerator.
This is MIT Technology Review.
Few technology advances have generated as much excitement among business leaders as artificial intelligence.
When it comes to innovating manufacturing processes with AI, ambitions are high, and many manufacturers are looking to gain a competitive advantage by implementing AI-powered solutions.
Discover how manufacturers are approaching AI adoption. Download the new report by Insights, the custom content arm of MIT Technology Review, to learn more: info.microsoft.com/ww-landing-taking-ai-to-the-next-level-in-manufacturing.html
This report was not written by MIT Technology Review’s editorial staff. This video was produced by MITTR Studios in partnership with @Microsoft.
MITTR Studios is the custom video storytelling arm of MIT Technology Review. The editorial staff of Technology Review had no role in the creation of this content.
***
Transcript:
Few technology advances have generated as much excitement among business leaders as AI.
Recent research produced by MIT Technology Review Insights, in partnership with Microsoft, indicates that reducing data, talent, and organizational barriers to achieve scale will take AI to the next level in the manufacturing sector.
MIT Technology Review Insights conducted a global survey of senior executives and experts, seeking to better understand how manufacturers can accelerate their AI journey. The result? New innovation is on the horizon.
Ben Armstrong, Executive Director of MIT’s Industrial Performance Center, brings valuable insight on this topic, and cites exciting implications to help creative problem-solvers make production more efficient, higher quality, and faster.
It starts with a business problem ... And then working backward, what set of technologies and talents might be able to address this problem?
AI technology ... can help individuals learn what's working and what's not, so they can do rapid experimentation.
Manufacturers rightly view AI as integral to the creation of the hyper-automated intelligent factory, but these sought-for AI gains are specific to different manufacturing functions.
In engineering and design, 58% of survey respondents expected spending growth of more than 10% in the next two years, and 43% for factory operations.
To take your organization’s AI implementation to the next level, and unlock new opportunities for innovation, get your game plan started.
Gain these and other insights from the manufacturing sector in MIT Technology Review Insights Report, and step on the AI accelerator.
This is MIT Technology Review.
