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 1. Tools of Transformation
    
 2. Generative AI
    


GENERATIVE AI (LIKE CHATGPT) IS CHANGING MANUFACTURING...BUT HOW, EXACTLY?

July 13, 2023
Generative AI is on the boardroom agenda at 96% of organizations.
Chris McNamara
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New research from Capgemini shows that 48% of executives in the manufacturing
sector see generative AI significantly disrupting their business models. 30% of
industrial manufacturing organizations are currently piloting innovative design
and predictive maintenance that can reduce overhead costs and expensive
downtime.  

Since ChatGPT and this smarter form of AI is the hottest topic we’ve seen in
years, we wanted to dive deeper, so we connected with Ajay Mohan, principal and
North American lead of AI & analytics at Capgemini Americas, who shared his
perspective on the future of generative AI in the manufacturing sector. Take a
look...

Smart Industry: What most surprised you in the survey findings?

Ajay: One of the most surprising findings of our latest study was that
generative AI is on the boardroom agenda at 96% of organizations surveyed
globally. This widespread interest and recognition of generative AI's importance
indicates a significant shift in its adoption and strategic consideration in a
relatively short period of time. Throughout my career, there are very few past
innovation cycles that have had such a meteoric rise. 



Smart Industry: How are manufacturing executives using generative AI? Is
adoption as enthusiastic as the hype in this space?

Ajay: Manufacturing executives view generative AI as a powerful tool for
accelerating growth, enhancing capabilities, and unlocking new design
opportunities. Generative AI is being tested in various ways across the
manufacturing industry, with optimizing parts design and advanced 3D modeling
being two of the sector’s top use cases. The high-tech and
industrial-manufacturing sectors, which have a history of AI adoption, are
particularly enthusiastic about the potential of generative AI and understand
its potential for disruption. Our research shows that while manufacturing
organizations are not implementing at scale as quickly as some other early
adopters—high tech and financial services—they will likely be fast followers and
extensive adopters.

Smart Industry: How is generative AI disrupting current business models?

Ajay: Generative AI is enabling organizations to reimagine their operations,
product and service development, and customer interactions. It has the potential
to drive innovation and improve efficiency and productivity across all functions
and industries. By leveraging generative AI, businesses can automate processes,
optimize resources, implement predictive maintenance, optimize the supply chain,
personalize marketing, enhance customer experiences, and make data-driven
decisions. These capabilities challenge traditional approaches and enable new
avenues for increasing value.

Smart Industry: What's the timeframe for the adoption of these tactics mentioned
in the report? Are we talking six months? Six years? 

Ajay: Our study shows that the timeframe for the adoption of generative AI
tactics can vary depending on the organization and specific context. While
generative AI is still in its early stages of scaled adoption and
implementation, nearly 60% of executives globally see their leadership as strong
advocates for generative AI; organizations are actively exploring and piloting
generative-AI initiatives. However, the timeline for widespread adoption can
range from several months to several years, depending on factors such as
industry, organizational readiness, and the complexity of implementing
generative-AI solutions.

Smart Industry: What is the future of generative AI in the manufacturing sector?

Ajay: Generative AI has a promising future in the manufacturing sector. It
offers significant potential for driving innovation, improving operational
efficiency, enhancing B2B engagement, and optimizing various aspects of the
manufacturing value chain. Specifically, with vision-based generative AI, the
potential for improved design and innovation is significant. With the ability to
automate tasks, personalize experiences, and generate synthetic data, generative
AI can help manufacturers stay competitive in a rapidly evolving market. As
adoption and understanding of generative AI continue to grow, manufacturing
leaders can expect to see more transformative applications and advancements. 




Smart Industry: Who/what verticals are best positioned to capitalize?

Ajay: The high-tech and industrial-manufacturing sectors are best positioned to
capitalize on the benefits of generative AI. These industries have a long
history of AI adoption and have been at the forefront of new AI technologies.
They have the necessary expertise, infrastructure, and organizational readiness
to implement generative AI effectively.

However, generative AI has the potential to benefit organizations across all
verticals and functions. Use cases extend to IT, sales, customer service,
marketing, and other areas where automation, personalization, and data-driven
decision-making can drive value and competitive advantage.



 





CONTINUE READING

LESSONS FROM THE FRONTLINES OF MACHINE LEARNING: FIRST PRINCIPLES TO PRE-BUILT
SOLUTIONS THAT ENGAGING IT AND OT TEAMS ON SMART ML PROGRAMS


ARE WORKFORCES IN THE PROCESS SPACE USING ARTIFICIAL INTELLIGENCE DIFFERENTLY?


SPONSORED RECOMMENDATIONS

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PRACTICAL INDUSTRY INSIGHT FOR IT AND OPERATIONS LEADERS



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SPONSORED

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DAIRY PRODUCER TRANSITIONS LACTOSE CRYSTALLIZATION TANKS WITHOUT DOWNTIME


INNOVATING PHARMA AT THE EDGE: IMPROVING PERFORMANCE, QUALITY AND COMPLIANCE




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