The Asset Guardian EAM (TAG)
The Asset Guardian (TAG) Mobi is the chosen preventive maintenance and asset management solution (EAM) for Microsoft Dynamics 365 Business Central, designed to deliver reliable manufacturing asset solutions that reduce risk and downtime.
TAG Mobi prevent downtime, maximize asset performance, and accelerate onboarding and training with the support of AI tools and intuitive dashboards.
No silos. No extra software. Just smooth integration and quick adoption—so maintenance teams can work faster, and managers get the data they need to make decisions.
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TRACTIAN
Tractian serves as the Industrial Copilot focused on enhancing maintenance and reliability by integrating both hardware and software to oversee asset performance, streamline industrial operations, and execute predictive maintenance approaches. The platform, powered by AI, enables companies to avert unexpected equipment failures and improve production efficiency. Headquartered in Atlanta, GA, Tractian also has a global footprint with branches in Mexico City and Sao Paulo, thereby expanding its reach. For more information, you can visit their website at tractian.com, where additional resources and details about their offerings are available.
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Cerebra
Cerebra offers a no-code decision intelligence platform designed to empower marketing and merchandising teams, allowing them to leverage data-driven strategies instead of relying on guesswork. By moving away from conventional retail practices, the platform creates a real-time retail environment that minimizes missed opportunities, prevents excess inventory, and addresses pricing inaccuracies. Rather than overwhelming users with complex data sets that require significant analysis, Cerebra delivers timely, actionable recommendations alongside predicted business outcomes, enhancing productivity through impactful insights and actions. Utilizing AI technology, it actively seeks to boost profitability while reducing waste, enabling operations to adapt swiftly in real time. With Cerebra, insights that drive action are automatically implemented, fostering a culture of data-informed decision-making at every organizational level. The platform seamlessly integrates and analyzes both internal and external data sources, revealing insights that not only increase brand profitability but also improve customer satisfaction and mitigate inventory excess. Furthermore, the user-friendly interface means there is no need for extensive training in complicated areas like big data analytics or data manipulation, ensuring that it is accessible for everyone. This groundbreaking approach allows teams to concentrate on strategic goals without becoming overwhelmed by data complexities, ultimately fostering a more efficient and focused work environment.
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Cerebras-GPT
Developing advanced language models poses considerable hurdles, requiring immense computational power, sophisticated distributed computing methods, and a deep understanding of machine learning. As a result, only a select few organizations undertake the complex endeavor of creating large language models (LLMs) independently. Additionally, many entities equipped with the requisite expertise and resources have started to limit the accessibility of their discoveries, reflecting a significant change from the more open practices observed in recent months.
At Cerebras, we prioritize the importance of open access to leading-edge models, which is why we proudly introduce Cerebras-GPT to the open-source community. This initiative features a lineup of seven GPT models, with parameter sizes varying from 111 million to 13 billion. By employing the Chinchilla training formula, these models achieve remarkable accuracy while maintaining computational efficiency. Importantly, Cerebras-GPT is designed to offer faster training times, lower costs, and reduced energy use compared to any other model currently available to the public. Through the release of these models, we aspire to encourage further innovation and foster collaborative efforts within the machine learning community, ultimately pushing the boundaries of what is possible in this rapidly evolving field.
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