by Gary Mintchell | Feb 20, 2024 | Asset Performance Management, Generative AI, News, Operations Management, Software
Generative artificial intelligence (AI) popularized by ChatGPT is this year’s big buzz in industrial technology. Predictive maintenance seems to be one logical place where finding more powerful computation can be supportive.
Siemens has worked with Microsoft closely for decades. It has also recently acquired Senseye. Here is news about using GenerativeAI for enhancing a predictive maintenance solution.
In short:
- Enhancing proven machine learning capabilities with generative AI creates a robust, comprehensive predictive maintenance solution that leverages the strengths of both.
- Using a conversational user interface, manufacturers can take proactive actions easily, saving both time and resources.
- New generative AI functionality in Senseye Predictive Maintenance makes predictive maintenance conversational.
Siemens is releasing a new generative artificial intelligence (AI) functionality into its predictive maintenance solution – Senseye Predictive Maintenance. This advance makes predictive maintenance more conversational and intuitive. Through this new release of Senseye Predictive Maintenance with generative AI functionality, Siemens will make human-machine interactions and predictive maintenance faster and more efficient by enhancing proven machine learning capabilities with generative AI.
Senseye Predictive Maintenance uses artificial intelligence and machine learning to automatically generate machine and maintenance worker behavior models to direct users’ attention and expertise to where it’s needed most. Building on this proven foundation, now a generative AI functionality is being introduced that will help customers bring existing knowledge from all of their machines and systems out and select the right course of action to help boost efficiency of maintenance workers.
Currently, machine and maintenance data are analyzed by machine learning algorithms, and the platform presents notifications to users within static, self-contained cases. With little configuration, the conversational user interface (UI) in Senseye Predictive Maintenance will bring a new level of flexibility and collaboration to the table. It facilitates a conversation between the user, AI, and maintenance experts: This interactive dialogue streamlines the decision-making process, making it more efficient and effective.
In the app, generative AI can scan and group cases, even in multiple languages, and seek similar past cases and their solutions to provide context for current issues. It’s also capable of processing data from different maintenance software. For added security, all information is processed within a private cloud environment, safeguarded against external access. Additionally, this data will not be used to train any external generative AI. Data doesn’t need to be high-quality for the generative AI to turn it into actionable insights: With little to configure, it also factors in concise maintenance protocols and notes on previous cases to help increase internal customer knowledge. By better contextualizing information at hand, the app is able to derive a prescriptive maintenance strategy.
The new generative AI functionality in the Software-as-a-Service (SaaS) solution Senseye Predictive Maintenance will be available starting this spring for all Senseye users. The combination of generative AI and machine learning creates a robust, comprehensive predictive maintenance solution that leverages the strengths of both.
by Gary Mintchell | Feb 13, 2024 | Generative AI, Operations Management
I use Hey for my email client. It is a new take on doing email from 37 Signals the developers of Basecamp. They’ve also released a new approach to calendars I’m trying.
They also added a newsletter piece to the app that is not as obnoxious about collecting data like MailChimp or Constant Contact. It is called Hey World. I publish there occasionally and send a newsletter. You can sign up for the newsletter by clicking the envelop on the web page or click this link.
My last email plays with the question of what happens when your boss calls you and asks for an AI strategy.
You can help support my work at Buy Me a Coffee.
by Gary Mintchell | Feb 12, 2024 | Generative AI, Software, Technology
Quantum Computing has been making some headlines and the tech world is fluttering about AI. Dario Gil, SVP of Research at IBM provides a cogent explanation of these technologies. Perhaps the best I’ve heard. It’s on Guy Kawasaki’s podcast. Well worth a listen.
by Gary Mintchell | Jan 15, 2024 | Generative AI, News, Organizations
Despite all the hype, augmented intelligence (AKA artificial intelligence or AI) is and has been a real thing in programming. The power does continue to grow—just like all technology. Two areas ripe for improvement through the use of AI are education and healthcare. This news relates to healthcare.
Emory University is embarking on a new initiative that will unite the power of machine learning and big data to transform the ways in which health care systems prevent, diagnose, treat and cure diseases on a global scale.
Launching this month under the umbrella of Emory’s AI.Humanity initiative, the Emory Empathetic AI for Health Institute will utilize artificial intelligence (AI) and computing power to discern patterns in vast amounts of data and make predictions that improve patient health outcomes in diseases such as lung, prostate and breast cancer, heart disease, diabetes and more. While AI is already being deployed to improve diagnoses and treatment for numerous health conditions, the resounding impact AI can have on health care is just beginning.
As Georgia’s first institute of its kind, Emory AI.Health will foster the development of accessible, cost-effective and equitable AI tools by developing an ecosystem of multidisciplinary experts from Emory, the Atlanta VA Medical Center, the Georgia Institute of Technology and others, and seeking public-private partnerships to propel new research forward. It will then serve as an engine to deploy those tools to the patient’s bedside, initially within Emory Healthcare and ultimately across the globe.
“AI will transform society and at Emory, we want to use these powerful technologies to save and improve lives,” says Emory President Gregory L. Fenves. “We see the power AI has to facilitate healing while improving equitable access to health care. Dr. Madabhushi is a trailblazer in health-focused AI and the ideal person to lead the Empathetic AI for Health Institute.”
Emory AI.Health will be led by Anant Madabhushi, PhD, a Robert W. Woodruff professor in the Wallace H. Coulter Department of Biomedical Engineering at Emory and Georgia Institute of Technology, a member of the Cancer Immunology research program at Winship Cancer Institute and a research career scientist with the Atlanta VA Medical Center.
by Gary Mintchell | Jan 10, 2024 | Generative AI, News, Technology
This may sound surprising (although it shouldn’t). General media promotes a lot of hype and dire warnings and smoke-and-mirrors about large language models (LLM)—the latest type of augmented (artificial) intelligence. Do you think that if you could even get a peek into the math and technology that you could at least have a better grip on risk and reward?
I have just the book for you. The publicists sent a review copy. I was fascinated.
More than a Chatbot by Mascha Kurpicz-Briki, a professor for data engineering, enables readers to understand and be part of the exciting new development of powerful text processing and generation tools. After reading this book, the reader will be confident enough to participate in public discussions about how new generations of language models will impact society and be aware of the risks and pitfalls of such technologies.
Mascha Kurpicz-Briki is professor for data engineering at the Bern University of Applied Sciences in Biel, Switzerland, and co-leader of the research group Applied Machine Intelligence.
In particular, the book discusses the following questions: How did the field of automated text processing and generation evolve over the last years, and what happened to allow the incredible recent advances? Are chatbots such as ChatGPT or Bard truly understanding humans? What pitfalls exist and how are stereotypes of the society reflected in such models? What is the potential of such technology, and how will the digital society of the future look like in terms of human-chatbot-collaboration?
The book is aimed for a general audience, briefly explaining mathematical or technical background when necessary. After having read this book, you will be confident to participate in public discussions about how this new generation of language models will impact society. You will be aware of the risks and pitfalls these technologies can bring along, and how to deal responsibly when making use of tools built from AI technology in general.
by Gary Mintchell | Jan 5, 2024 | Events, Generative AI, News
For all you Artificial Intelligence buffs out there, here is a chance to learn a little about what influential people are thinking. This January 25 event will focus on ways to protect consumers and competition.
The Federal Trade Commission’s Office of Technology is hosting a virtual tech summit on January 25, 2024 that will bring together a diverse group of stakeholders to discuss key developments in the rapidly evolving field of artificial intelligence (AI), looking across the layers of technology related to AI.
The summit will bring together representatives from academia, industry, civil society organizations, and government to discuss the state of technology, emerging market trends, and real-world impacts of AI. The discussions will also explore how to cultivate a marketplace that allows both consumers and businesses, including startups and small businesses, to thrive.
FTC Chair Lina M. Khan and Commissioners Rebecca Kelly Slaughter and Alvaro Bedoya will provide remarks at the summit. The event will also feature three panel discussions. These include discussions on the hardware and other key infrastructure that will be needed for AI development; issues related to the data and models used in AI; and AI-powered consumer applications.
The summit will begin at noon and take place online. The tentative agenda is available on the event website. Information on how to participate will also be posted to the event page soon.
The Federal Trade Commission works to promote competition, and protect and educate consumers. You can learn more about consumer topics and report scams, fraud, and bad business practices online at ReportFraud.ftc.gov.
