Leveraging Generative AI And LLMs In The Industrial IoT Realm

  • 📰 ForbesTech
  • ⏱ Reading Time:
  • 43 sec. here
  • 2 min. at publisher
  • 📊 Quality Score:
  • News: 20%
  • Publisher: 59%

Srikar Kasarla 뉴스

대한민국 최근 뉴스,대한민국 헤드 라인

Srikar Kasarla is Senior Vice President of Technology & R&D at Schneider Electric. Read Srikar Kasarla's full executive profile here.

The world of technology is witnessing the unfolding of a transformative era with the arrival of generative AI and large language models . This innovative technology is shaping up to offer solutions for tackling complex challenges and unlocking new possibilities of creativity and innovation. By having the ability to generate content—be it text, visual, sound, data or code—generative AI has the potential to revolutionize industries far and wide.

Generative AI presents a solution by creating synthetic datasets that closely mirror real-world conditions. This approach enables the efficient training and testing of machine learning models for various IoT scenarios. By generating data that simulates real device telemetry, generative models can enhance the diversity and quality of datasets, addressing issues of data scarcity, imbalance or incompleteness.

This capability is particularly valuable in scenarios where IoT devices monitor critical infrastructure, manufacturing processes or environmental conditions, where early detection of anomalies can prevent equipment failure, production downtime or environmental hazards.In the IoT ecosystem, data sharing is essential for analytics use cases, research purposes and collaboration with third parties like system integrators.

 

귀하의 의견에 감사드립니다. 귀하의 의견은 검토 후 게시됩니다.
이 소식을 빠르게 읽을 수 있도록 요약했습니다. 뉴스에 관심이 있으시면 여기에서 전문을 읽으실 수 있습니다. 더 많은 것을 읽으십시오:

 /  🏆 318. in KR

대한민국 최근 뉴스, 대한민국 헤드 라인