Podcasts about Ambient intelligence

This week on Mr. Beacon, Mark Jacobstein—Co-Founder of Near Horizon and former colleague of Sam Altman—joins us to unpack the evolving venture landscape. We discuss AI's impact, fundraising challenges, and how his venture builder model helps startups go from idea to execution. Mark shares personal lessons from Silicon Valley, career advice for the next generation, and why staying curious is key. A sharp, insightful conversation for entrepreneurs, investors, and anyone navigating tech's rapid shifts.Mark's Top 3 Favorite Songs:“Fake Plastic Trees” by Radiohead: https://www.youtube.com/watch?v=3Z_41J-uKPI “The Wheels On The Bus”: https://www.youtube.com/watch?v=e_04ZrNroTo“Thunder Road” by Bruce Springsteen: https://www.youtube.com/watch?v=W2X0Gf9jfz8Mister Beacon is hosted by Steve Statler, CEO of AmbAI Inc. — creators of AmbAI, the AI agent that connects people to products and the brands behind them. AmbAI also advises leading brands on Ambient Intelligence strategy. Hosted on Acast. See acast.com/privacy for more information.

In this episode of the Mr. Beacon Podcast, Donna Lanzetta—CEO of Manna Fish Farms and Manna Seafood Blockchain—shares her journey from attorney to aquaculture pioneer. Discover how she's building offshore fish farms, fighting seafood fraud with blockchain, and creating a transparent, sustainable supply chain. From ocean to plate, Donna's tech-driven, vertically integrated approach empowers consumers and supports ethical sourcing. Tune in to explore the future of seafood, digital traceability, and how small businesses can drive big change.Donna's Top 3 Favorite Songs:“Hallelujah” by Leonard Cohen: https://www.youtube.com/watch?v=ttEMYvpoR-k“Hold Your Head Up” by Argent: https://www.youtube.com/watch?v=jvfxI9yD2dM“Tapestry” by Carole King: https://www.youtube.com/watch?v=8FiR2Eb4NSMMister Beacon is hosted by Steve Statler, CEO of AmbAI Inc. — creators of AmbAI, the AI agent that connects people to products and the brands behind them. AmbAI also advises leading brands on Ambient Intelligence strategy. Hosted on Acast. See acast.com/privacy for more information.

In this exclusive episode of the Mr. Beacon Podcast, Thomas Knothe, Chair of JTC 24, shares insights into the new Digital Product Passport (DPP) standards. As one of the few cleared to speak publicly, Thomas reveals how DPPs will transform global commerce, ensure sustainability, and drive regulatory compliance. Don't miss this rare conversation that explores the future of digital-physical convergence—and the major opportunities it creates.Thomas' Favorite Songs:“That's So True” by Gracie Abrams: https://www.youtube.com/watch?v=BqiDw1WrbFo “Like a Prayer” by Madonna: https://www.youtube.com/watch?v=IaHQYTm14Kc See Thomas' presentation on Digital Product Passports standards HERE Mister Beacon is hosted by Steve Statler, CEO of AmbAI Inc. — creators of AmbAI, the AI agent that connects people to products and the brands behind them. AmbAI also advises leading brands on Ambient Intelligence strategy. Hosted on Acast. See acast.com/privacy for more information.

In this podcast Walt Zerbe, Sr. Director of Technology and Standards at CEDIA and host of the CEDIA podcast talks with Mitch Klein, VP of Business Strategy at CEDIA, Rich Green, owner of Rich Green Design, and Gordon Van Zuiden, Daisy branch partner in Silicon Valley and a Daisy ambassador where we talk about what we saw and experienced during the first day of the 2025 CES show.  SPOILER ALERT:  This show is VERY different than the last few years! Here are the mentions with timestamps arranged by topics: Tools and Products NVIDIA RTX Blackwell Series of Chips**: "00:06:36" NVIDIA Nemo**: "00:07:45" Intuition Robotics**: "00:13:35" Tom Bot**: "00:14:06" Uber**: "00:15:07" DoorDash**: "00:15:07" LG's AI Technology**: "00:15:51" Swan Cameras**: "00:21:05" BMW AI**: "00:22:27" Withings Smart Mirror**: "00:24:14" SmartThings by Samsung**: "00:26:09" Homey**: "00:27:25" Facial Recognition Technology**: "00:39:06" Palm Vein Technology**: "00:40:12" Liquid View Windows**: "00:38:14" Events and Presentations CES (Consumer Electronics Show)**: "00:00:07" Jensen Huang Keynote**: "00:05:15" CES (Consumer Electronics Show)**: "00:39:05" Concepts and Ideas AI and Autonomous Driving**: "00:10:52" Ambient Intelligence**: "00:18:15" TCR (Technology Crap Removal)**: "00:37:46" Augmented Reality**: "00:42:44" IoT (Internet of Things)**: "00:42:44" 5G**: "00:42:44" Edge Data Communications**: "00:42:44" AI (Artificial Intelligence)**: "00:42:44" General Insights Warranties**: "00:32:13"   Timestamps CES 2025 (00:00:07)   Walt Zerbe introduces the podcast and the significance of the CES event. Mitch Klein's Introduction (00:00:52)   Mitch Klein discusses his lifetime achievement award and his passion for the industry. Rich Green's Achievement (00:01:48)   Rich Green shares his experience receiving a lifetime achievement award in London. Gordon Van Zuiden't Background (00:02:59)   Gordon introduces himself and reflects on his journey in the industry since 2001. General Impressions of CES 2023 (00:04:20)   Walt expresses excitement about the advancements in AI showcased at CES compared to previous years. Nvidia Keynote Overview (00:05:15)   Rich shares insights from Jensen Huang's keynote, highlighting advancements in AI and graphics technology. Nemo Project Discussion (00:07:45)   Rich discusses Nvidia's Nemo project, which develops AI agents for digital workforce integration. Humanoid Robots and AI (00:09:21)   The speakers discuss the future of humanoid robots powered by advanced AI technology. Accelerated Growth of Robotics (00:10:52)   Gordon explains how AI is accelerating the development of robotics beyond traditional timelines. Software Defined Reality (00:11:52)   Rich mentions the concept of software-defined reality and its implications for technology. ChatGPT Moment for Robotics (00:12:43)   The speakers predict an explosive growth phase for robotics, similar to the rise of ChatGPT. Real-Life Product Example (00:13:35)   Mitch introduces Intuition Robotics, showcasing a product designed for aging in place. Tom Bot Companion (00:14:06)   Walt discusses the Tom Bot, an animatronic dog designed to assist those with cognitive impairments. AI and Elderly Assistance (00:15:07)   Discusses how AI can help the elderly with tasks like ordering food or viewing photos. LG's AI Integration (00:15:51)   Highlights LG's presentation on seamless integration of AI in daily life and home management. Adaptive Learning Control (00:17:01)   Explores the future of control systems with adaptive learning and open standards in technology. Humanoid Robots and Ambient Intelligence (00:17:22)   Imagines homes as robots, enhancing family support through intelligent systems and occupancy sensors. AI's Role in Customer Experience (00:18:42)   Summarizes LG's human-centered AI approach focusing on operational efficiency and personalized experiences. The Normalization of AI (00:19:33)   AI is becoming a standard part of technology, moving beyond novelty to practical applications. Proactive Technology in Relationships (00:19:55)   Discusses the importance of proactive technology in creating trust and seamless interactions. Swan's AI Cameras (00:21:05)   Introduces Swan's AI cameras that communicate proactively with visitors, enhancing home security. Automotive Innovations at CES (00:22:15)   Describes advanced automotive technology at CES, including AI integration in BMW vehicles. Health Monitoring Technologies (00:24:55)   Mentions health monitoring technologies, including smart toilets and mirrors analyzing user health. Samsung's SmartThings Development (00:26:09)   Explains Samsung's SmartThings and its potential to enhance home automation and interoperability. Interoperability Across Devices (00:27:25)   Discusses the need for interoperability among smart devices for better home automation experiences. The Future of Home Automation (00:28:06)   Questions the necessity of human involvement as automation technology evolves and adapts. Discussion on Network Security (00:28:49)   The need for robust network security in smart homes is emphasized due to various attack vectors. Corporate Advertisement and Market Opportunities (00:29:10)   The speakers discuss the growing market for home technology maintenance and support services. Importance of Trusted Relationships (00:31:02)   Trust between service providers and homeowners is vital for long-term technology maintenance. Value of Warranties (00:32:13)   The concept of warranties in home technology is questioned; ongoing relationships are deemed more important. Technology Integration Challenges (00:36:17)   Integrating various technologies from different eras in homes presents significant challenges and opportunities. Innovative Window Technology (00:38:14)   A new type of window that enhances wellness through simulated views is discussed. Facial Recognition Advancements (00:39:06)   The use of facial recognition for home security is explored, highlighting its potential benefits. Wrap-Up and Show Impressions (00:40:35)   The speakers express renewed excitement about the CES, noting a resurgence in innovative technology. Exploring Technology's Evolution (00:41:05)   Discussion on the necessity of engaging deeply to uncover interesting technological advancements. Historical Context of Breakthroughs (00:41:21)   Speaker reflects on past technological breakthroughs like microcomputers and the internet, leading to current AI advancements. The Formula for Technological Integration (00:42:29)   Discussion of a formula combining augmented reality, IoT, 5G, AI, and imagination for accelerated technology growth. Human Connection Amidst Technology (00:43:44)   Speaker shares experiences of deeper human connections at CES, emphasizing meaningful conversations. Understanding Humanity in a Tech World (00:44:43)   Exploration of how technology challenges our understanding of what it means to be human. The Importance of Emotional Interaction (00:45:53)   Discussion on the unique aspects of human interaction that robots cannot replicate, such as empathy and tactile sensations. Enhancing Human Qualities in the AI Age (00:46:31)   Anticipation of magical moments as we embrace AI while enhancing our human qualities. Closing Thoughts and Future Topics (00:47:25)   Wrap-up of the discussion with a promise to delve into product specifics in future episodes.

Send us a textIn deze aflevering gaan Jurjen en Emmy in gesprek met Jeroen Linssen en Wouter Teeuw. Beiden zijn lector bij Saxion Hogeschool van het lectoraat ‘Ambient Intelligence'. Hun lectoraat ontwikkelt technologie die ‘alles' slim maakt. We gaan in gesprek over het ontstaan van het lectoraat, de actuele vraagstukken en voorbeelden in de praktijk. Tevens een primeur: Jeroen wordt op 17 oktober 2024 geïnstalleerd als lector en blikt vooruit op zijn lectorale rede.Denk aan Hybride AI, alles tussen patroon en persoon. De samenwerking tussen mens (explainable AI en AI Literacy) en machine (MLOps en automatisering). De kernboodschap is dat er wederzijds begrip nodig is; AI moet beter afgestemd worden op mensen en mensen beter op AI. Samenwerkingen met diverse andere partijen worden besproken en ook de opleiding die Saxion op dit vakgebied is gestart.Benieuwd geworden? Luister dan naar deze aflevering.De Dataloog is de onafhankelijke Nederlandstalige podcast over data & kunstmatige intelligentie. Hier hoor je alles wat je moet weten over de zin en onzin van data, de nieuwste ontwikkelingen en echte verhalen uit de praktijk. Onze hosts houden het altijd begrijpelijk, maar schuwen de diepgang niet. Vind je De Dataloog leuk? Abonneer je op de podcast en laat een review achter.

Join us for the inaugural episode of "The Future of AI in Health" podcast, where we unveil the transformative potential of Artificial Intelligence (AI) in healthcare. Led by Dr. Jenny Yu, Chief Health Officer at Healthline Media, and Saul Marquez, healthcare entrepreneur and founder of Outcomes Rocket, this series aims to demystify AI's impact on healthcare. In this episode, Bruce Brandes, the President of care.ai, explores the topic of ambient intelligence and its potential to transform healthcare delivery in hospitals. He shares insights into the current challenges in healthcare and how ambient intelligence can make a significant impact in addressing workforce shortages, improving operational efficiency, and enhancing patient outcomes. Bruce also explores specific use cases and success stories of implementing this technology, as well as addressing concerns around AI and privacy in healthcare.  Tune in to this thought-provoking discussion on the future of AI in healthcare with a focus on how it can revolutionize care delivery. Resources:  Check more episodes of this Thought Leadership Series here. Watch the entire interview here. Connect with and follow Bruce Brandes on LinkedIn. Learn more about care.ai on LinkedIn and their website. Listen to Bruce's previous episode on the Outcomes Rocket here. Connect with and follow Jenny Yu on LinkedIn. Learn more about Healthline Media on LinkedIn and their website.

We dive deep into Hidden Side of AI, Military Shadow on Tech, Our Children vs the Algorithm, Ethics in AI: 19Keys & X.Simplify the high level with AI. Join a free webinar at https://19keysai.com/ to learn more. Join 19Keys on 'High Level Conversations', the award-winning show elevating your mindset and value. In Partnership with the Earn Your Leisure network, this is the show where thought leadership meets empowerment. Each episode features luminaries like Billy Carson and Wallstreet Trapper, exploring topics from financial literacy to future tech, emotional intelligence to wellness. Our mission is to challenge, inspire, and ignite change. Be a part of this journey to reshape narratives and elevate consciousness. Dive into our diverse and dynamic content – your platform for growth and cultural empowerment.Special Guest: https://www.instagram.com/techwithx/?hl=en X. Eyeé, a high school and college dropout turned military combat veteran, has made significant strides in the fields of AI and emerging technologies over 17 years. With experience as an engineering leader, product manager, and researcher at Microsoft, Google, and the Department of Defense, X has pioneered blockchain and AI innovations. At Microsoft, X developed Ambient Intelligence solutions integrating blockchain, AI, and IoT for global Fortune 500 companies. At Google, X ensured AI products and research were developed responsibly, leading teams like the Skin Tone team to set industry standards for AI recognition of diverse skin tones, impacting products like Pixel phones and Google Image Search. Currently, as CEO of Malo Santo, X advances AI consulting, offering services in education, governance, and development to clients including L'Oreal, Mozilla, and Hillman Grad.19Keys is a visionary thinker and motivational speaker who empowers people to unlock their greatest potential. His thought leadership provides a blueprint for living life to the fullest through developing mental, physical, emotional, and spiritual mastery. As a self-made polymath and visionary, he leverages his diverse expertise across metaphysics, mindfulness, business, and technology to empower millions worldwideVisit www.19KEYS.com to support and learn more. *Special EYL Viewer Promotion*Text “HLC“ to 2012283670Tap in on all platforms:Youtube:https://www.youtube.com/c/19keysTwitter:https://twitter.com/19keys_Instagram:www.instagram.com/19_keys/TikTok:https://www.tiktok.com/@19keys?Send in a voice message: https://anchor.fm/19keys/messageFollow his links below to learn more:https://linktr.ee/19_keys https://crownz19.com/ https://goldewater.com/ https://crownz19.com/products/paradigm-keys-solution-based-mind-reprogramming-e-bookSupport this podcast at — https://redcircle.com/19keys/exclusive-contentAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Buckle up, because today we have an industry giant with us, Tricia Tamkin, a seasoned recruiter with more than 25 years of experience. Not only has she owned her own firm, but she's also ventured into coaching and training recruiters, sharing her wealth of knowledge. Over the years, Tricia has seen the recruiting landscape evolve from paper to AI, and she strongly believes that being up-to-date on modern recruiting practices is key to thriving in this industry.In this episode, she dives deep into her unique hiring approach and shares her insights on new technologies and their place within recruiting firms. Tricia breaks down her coaching strategies based on different client scenarios and discusses the common pitfalls that firms encounter when aiming to scale.Leveraging her experience with experiments and strategies, Tricia will be digging into some detailed insights on topics like productivity, data analysis, and the relation between AI and recruiting. We'll even dive into the nitty-gritty of cold calling and its relevance in today's recruiting world.This conversation is sure to be a goldmine of valuable information for anyone in the recruiting field, so stay tuned as we shine an industry spotlight on some of the key challenges and strategies in modern recruiting with Tricia Tamkin. Don't forget to subscribe to The Full Desk Experience podcast to stay updated on our upcoming Industry Spotlight series, releasing new episodes monthly. Now, without further ado, let's jump straight into our conversation!Links:Connect with Tricia Tamkin on LinkedIn: https://www.linkedin.com/in/triciatamkin/Connect with Moore eSSentials: https://mooreessentials.com/Register for The Full Desk Experience emails and updates: www.crelate.com/full-desk-experienceConnect with Crelate: https://bit.ly/49ZcTlY

In this episode of The Full Desk Experience, Kortney Harmon comes to us from the Staffing World exhibition show floor. She dives into the challenges faced by offices in the staffing and recruiting industry through interviewing several industry professionals at the recent Staffing World conference.Joining her are guests Wanda Smith, Tammy Turner, John Nossaman, Tirrany Nettles, Cody Cope, Carrie Buffington, and Blake Babcock, who share their experiences and the biggest challenges their offices are currently facing.From the struggle of finding the right talent to the need for streamlined systems and the impact of AI on recruiting, this episode uncovers the issues that recruiters and staffing firms are grappling with.

A reduction in clinical note taking leads to better outcomes for both patients and physicians facing burnout, says Dr. Anthony Mazzarelli, co president and CEO of Cooper University Health Care.

What does transformational change look like in healthcare? In this episode, Bruce Brandes talks about how care.ai addresses challenges, like caregiver burnout and unsustainable costs in the healthcare industry, through transformative technology solutions. He also encourages healthcare professionals to partner with agile and innovative companies like care.ai to drive faster scalability and navigate the industry's transformation. Tune in to learn about care.ai's transformative solutions for healthcare's current challenges!  Click this link to the show notes, transcript, and resources: outcomesrocket.health

Topic 1: The Open Internet as We Know It Dodged an Existential Bullet Last Week https://www.itu.int/en/mediacentre/Pages/PR-2022-09-29-ITU-SG-elected-Doreen-Bogdan-Martin.aspx https://www.brookings.edu/blog/techtank/2022/08/12/the-most-important-election-you-never-heard-of/ In an election for the Secretary-General of the International Telecommunications Union (ITU), members chose Doreen Bogdan-Martin from the United States – the first-ever woman to hold the post. But that is not the reason this election was monumentally important: it was literally a showdown between an open internet and an authoritarian-controlled internet. And almost every single human on Earth didn't know it even happened … or what the consequences may have been. Consider us lucky. Topic 2: Google Shuts Down Stadia Online Gaming Service … Does Google Have an Innovation Problem? https://www.axios.com/newsletters/axios-login-555c72e1-380a-4a69-affe-e8260ae5734e.html Google announced it's shutting down the 3-year old Stadia gaming service … the latest in a long line of big technical breakthroughs that Google has failed to turn into big business successes. Why did this (seemingly really cool) new service not succeed? And does this hint at a bigger issue about Google's ability to grow? Or … about the ability of tech giants in general to grow at a rate that is “enough” for their thirsty shareholders? Topic 3: Amazon Wants to Cocoon You With ‘Ambient Intelligence' The company's new smart gadget uses radar to track your breathing while you sleep. It's part of Amazon's plan to weave its products invisibly into your life. Meet “Halo Rise” - Because they couldn't come up with a creepier name. Consider it the opposite of the metaverse.  https://www.wired.com/story/amazon-wants-to-cocoon-you-with-ambient-intelligence/    Sponsor Memo: IT Service Provider University IT Service Provider University helps you improve the business side of your business. We launched IT Service Provider University in 2013 and today we offer more than twenty courses on every aspect of running your consulting business.  IT Service Provider University provides training and pathways to certification for individual IT Service Providers as well as offering company-level certifications. Pathways Include: Management, Technician, Sales/Marketing, Service Manager, Front Office. Learn more about professional classes and certifications at https://ITSPU.com      

The company's new smart gadget uses radar to track your breathing while you sleep. It's part of Amazon's plan to weave its products invisibly into your life.

The company's new smart gadget uses radar to track your breathing while you sleep. It's part of Amazon's plan to weave its products invisibly into your life.

There's no shortage of development when it comes to AI and ML in healthcare. The technology is already powerful and continues to advance. The challenge, as always, is getting things into the clinical workflow. And doing so at scale. Nuance has a plan to help innovators and health delivery organizations find alignment and get the right tools integrated into the clinical workflow quickly. Nuance started with ambient intelligence in the sensory realm. In computing, ambient intelligence (AmI) refers to electronic environments that are sensitive and responsive to the presence of people. Today, Nuance's Dragon Ambient eXperience (DAX) can capture and code the natural conversation as it occurs between doctors and patients. Soon, ambient sensor tools will be able to see what's going on in the exam room too. Building on the sensory tools, Nuance's somatic ambient intelligence will allow AI to help doctors understand what's happening inside the body too. And that starts with imaging. The Nuance Precision Imaging Network (PIN) is designed to integrate imaging insights into the broader healthcare ecosystem and facilitate the use of AI to inform precision diagnostics and therapeutics.  In short, Nuance is allowing innovators to deploy their models on top of existing infrastructure in healthcare delivery organizations across the country. And in doing so, they are making it much easier for healthcare delivery organizations to experiment with these models. A real win-win that could accelerate the integration of ambient intelligence into the clinical workflow. On this episode, we talk with Peter Durlach, Executive Vice President, and Chief Strategy Officer at Nuance, about the technology, the strategy, and the roadmap. Plus, we discuss the AI Collaborative Nuance launched with The Health Management Academy.   Full show notes and links: https://thehcbiz.com/199-ambient-intelligence-peter-durlach/

AI Insider and self-driving car industry guru, Dr. Lance Eliot explains ambient intelligence and self-driving cars. See his website www.ai-selfdriving-cars.guru for further information.

Dr. Eric Eskioglu  0:00  AI is already in our lives, whether or not we know about it or believe it. You know, when you talk about your cars, those are all sensors that give you information. You use that pretty accurately. Now, do you question, is my beeper if I'm making lane change accurate or not? Maybe the first time you drive the new car, but once you get used to it, you can trust it almost all the time. You're still vigilant, you're still making sure that it's okay. But after a while, once you notice that it's almost 100%, correct. You don't think about anymore, and it becomes almost like an extra sensory organ that you don't have.Gina DiPietro  0:39  That's Dr. Eric Eskioglu, Novant Health executive vice president and chief medical officer, on how artificial intelligence brings together vast amounts of data to quickly find insights and efficiencies. You're listening to Industry Insights: A healthcare podcast presented by Novant Health. I'm your host, Gina DiPietro. In this episode, we explore how healthcare is using AI to solve real problems like health equity, cost of care, and better patient outcomes. More on that to come. But let's take a step back and start with what is data? And how is it used to get artificial intelligence? Here again is Dr. Eskioglu.Dr. Eric Eskioglu  1:20  So the data portion is your anything a patient generates throughout their lifetime. Whether it be regular physical checkups, regular care, or unfortunately have to end up in a hospital if they get labs if they had xX rays, MRIs. So this is all data. But as we started growing as a nation, and you know, our medical knowledge actually scientifically has increased tremendously. 50 years ago, our medical knowledge was doubling every 100 years. And currently, it's doubling every 72 days. And it is expected to double every 30 days in the next two to three years. So you can imagine the amount of medical knowledge and the data. We're going to be overwhelmed with all of this. We need to put it to good use. And from this data, you can get predictive analytics, which is the initial step to get into artificial intelligence. And that predicts, you know, things that could happen to a patient before it happens, which is very helpful. Then you can do what's called machine learning. And that's more getting structured data in an area where you can start not only predicting things, but also expecting things and also working with things that we can prevent. The final stage is artificial intelligence. And this one has two components. It's got recurrent neural networks, which is data that's dynamic that is streaming. So you can think of a heart monitoring for EKG, that is a data that's continuously streaming, you have to make decisions on the spot. And then there's also a convolutional neural network, which is the static data such as if you look at an MRI of a liver. That data statically, you have to turn it into an artificial intelligence. Now, what's exciting to me is artificial intelligence, we already have it around us. Whether or not you drive a Tesla car. Tesla cars are equipped with it. Whether or not you have an Alexa, if you're an Amazon Prime member. They not only when you log in, they can tell you what you have bought in the past, but what you may like from your profile. Artificial intelligence is going to be the fourth industrial revolution. I truly believe in that. In healthcare, if we don't adopt it, with the increasing complexity of patients, increasing amount of data, doubling of the medical knowledge every 72 days, which is going to decrease to every 30 days. We are not going to be effective and efficient and we're not going to have good outcomes. So it is imperative that all of us get into this field. Gina DiPietro  3:37  Keep in mind here that AI will not replace people in healthcare. Machines will never replace human qualities like empathy, intuition, or compassion. But it's important that people like physicians and nurses adopt AI to better care for patients. Dr. Eskioglu weighs in on where he thinks it will have the most impact.Dr. Eric Eskioglu  3:57  Physicians and nurses who use AI are sure to replace the physicians and nurse who refused AI. They are going to be much more effective, much more efficient. You know, I'm a vascular neurosurgeon, so people are surprised to hear me say that AI is going to have the biggest impact on primary care. I've said it for many years. You know, when you want to get a heart care, you think about several institutions around the country. When you want to get cancer care, you think about several institutions. But when you think about primary care, you don't hear somebody say, I'm going to get go to Cleveland Clinic and get my primary care or I'm going to go to MD Anderson to get my primary care. The reason it's going to change primary care. Those are the physicians that have the longest tenure with the patients. They have data, maybe q&a with a patient, you know, 20 to 30, sometimes 40 years of data. Because when you're with a primary care, you're you're with that person for a long time. With that data comes a lot of treasure trove of things we can predict. So, you know, we're going to be able to use artificial intelligence to predict trends from that data. Whether it be labs, whether it be MRIs, whether it be from natural language processing, your notes you wrote 20 years ago or 15 years ago. Next time you go to your primary care physician, ask them how many notes they go back to. And how many labs or x rays do they go back to see what went on. I can guarantee it's no more than one or two. So there's a lot of trends that were missing. AI is going to come into that space where it's going to get the physician or the nurses' or nurse practitioners' attention saying, 'We see a trend here from the last 15 years. And you may want to look into that.'Gina DiPietro  5:31  Here's the bottom line. Physicians and nurses can use that data to precisely diagnose and even predict health outcomes before they happen. Here again is Dr. Eskioglu with more on the potential of AI to reduce the cost of care, and why it could be a great equalizer for health equity.Dr. Eric Eskioglu  5:49  There's two things to AI that's really going to help us out on. We're going to be able to lower cost, because we're going to lower the covariation channel in the treatment modalities by using AI. What I mean by that is we've been looking at pneumonia, uncomplicated pneumonia admissions. And you know, before that homogeneous patient population, the outcomes are pretty similar, they're good. But we're noticing that some physicians order what we call the kitchen sink or the Cadillac workup. They order labs every day, x rays every day, consults. Some of them order only every other day, or every three days. So with AI, we're going to be able to predict after how many labs you've had normal do you need to stop ordering labs? Is one lab or two labs enough? So that's going to help with clinical variation. What we call economic value enhancement. And by doing that, we're going to be able to lower the healthcare costs, thereby increasing the access to underserved communities and people who have less or no access today. The other part of AI is we're going to help with social determinants of health, but also it's going to provide health equity. And what I mean by that is I'll give an example. In our stroke care, we've been very successful working with a startup company called Viz.ai. We were one of the first in the country to adopt them. when they were just at the beginning stages. It has proven to be a complete hit with us and our patients have been the true winners. This is an artificial intelligence layered on top of our telemedicine and we're able to detect a stroke on a CT scanner before the patient's out of a CT scan. On average, we've been able to save about 10 minutes per stroke patient, which equates about 19 million brain cells. Quality of life has increased. They don't die and this has had a tremendous improvement on the length of stay. But by doing that, we've provided health equity because you know, if you're a patient in Elkin, North Carolina, which is one of our affiliated hospitals that works with us. Or if you're a patient in uptown Charlotte, guess what? You get the same standard great care for stroke. There's no variation. You get the same care. So you don't have to be in a metro area to survive a stroke. And you know, that I'm proud of. So it will be the great equalizer. AI will be the great equalizer for health equity. And I truly believe that. Now, a couple of caution points. One of them is we have to make sure that we don't get bias entered into AI algorithms. And to prevent that, we need to make sure all populations data are entered not just a certain segment of a population. So we need to make sure Caucasian, African American, Asian American, Latino as well as any Native American, these populations have to be entered into the AI databases, because then you can get a true picture of what you need to do, rather than having a bias. So those are areas that we have to be cautious about. Gina DiPietro  8:42  As Dr Eskioglu put it, healthcare systems should approach AI with three pillars. I'll let him explain.Dr. Eric Eskioglu  8:48  First of all, from safety and quality. You know, we want to make sure whatever AI project we do is going to improve the safety and quality. So there may be an operation where somebody may be diagnosing the patient, but it has to improve the safety and quality. The second one is it has to lower the cost by unifying the protocols. The third one is it has to provide access to health equity. So those three pillars have kept us really in check. I always said, if you provide the highest quality clinical care with the help of AI, if you lower the cost, you are going to have quite a bit of money coming back in to be able to put for your mission, in not for profits. You will be able to invest in further things. And these things are not cheap. But you know, if you save more lives, if you prevent hospital acquired infections, if you provide serious safety issues in the hospitals - you'll be able to get to a point where you know you're one of the best in the country. And people will seek you out.Gina DiPietro  9:45  Looking ahead, he's especially excited about a few other things as well. I'll let him wrap up our conversation.Dr. Eric Eskioglu  9:51  The other things that's going to speed up AI is the quantum computing. It's here. It started last year. Google was the first company to be able to achieve that. So that's going to rapidly increase. The other thing that excites me is the fact that we can provide health care equity, using AI for all the populations we serve. I think that's going to be tremendous. I've always said it, the basic promise of democracy is health care access to everyone. And if you don't have your health, you can't have your economic upward mobility. So health is the most important asset you have. Forget about your house, forget about your car, forget about your bank account. The most important asset in your life that you will have is your health. The other thing I'm really interested excited what we call ambient intelligence. So artificial intelligence is your data, what we do with your data and how we make it work for you. Ambient intelligence is the data surrounding how does that affect your health? That's going to take more and more center stage since the environmental factors. We're going to be able to notice that if you're getting out of a bed, are you more likely to fall? We're going to be able to notice that. And that's what you know, a lot of our lives revolve around right now with our cars. What the sensors they have is AI, but what we call ambient intelligence, it gathers the data around your environment, and feeds it to you. So there's going to be two components -the AI, which is going to be your own personal medical healthcare data, that's going to affect how you get treated, but also the ambient intelligence, which includes social determinants of health. And those two combined with astute physicians who really utilize AI and again, I program in Python, you don't have to be a programmer in Python, you just have to have a basic understanding of AI and how it's going to help your patients. So I'd like to think people to think outside the box when we get to that point.Gina DiPietro  11:45  Gina DiPietro here and thank you for listening to this episode of Industry Insights: A healthcare podcast presented by Novant Health. You can find more episodes in our Industry Insights library. We've touched on healthcare supply chain, orthopedic trends, and even workforce burnout. There's tons of great content there. So feel free to browse around on Apple, Google, Spotify, or anywhere you listen to podcasts.

Is data and testing always the best path? Or is intuition sometimes helpful in making design decisions? We talk about it with Bernt Meerbeeek, the Product Owner for IoT solutions, and the R&D Manager for UX and Living Labs at Signify. We chat about personality in robotic vacuum cleaners, a cat that speaks human, and whether people are willing to give away their control to be emerged into the Internet of Things. We also talk about how being a researcher helps to be an intuitive manager for innovation teams.LINKS“Peripheral interaction” by Saskia Bakker“Humankind: a hopeful history” by Rutger Bregman

Bagaimana kita mendidik anak-anak kita di jaman Revolusi Industri keempat ini? Apa yang berubah dalam pendidikan kita di tengah RI4.0? Apakah pendidikan kita menyiapkan anak-anak kita masuk ke jaman RI4.0 ini? Ilmu-ilmu apa saja yang dibutuhkan di jaman RI4.0 ini? #NALAR mencoba menjawab pertanyaan tersebut dengan mengupas relevansi dan isi pendidikan di jaman RI4.0. REFERENSI 1. McKinsey (2018). "Workforce skills executive survey", March 2018; McKinsey Global Institute 2. Yin, Yong; Stecke, Kathryn E.; Li, Dongni (2018). "The evolution of production systems from Industry 2.0 through Industry 4.0". International Journal of Production Research. 56 (1–2): 848–861. 3. Nugroho (2018) Geoekonomi Digital, Kompas 4. Nugroho (2018) Peluang Baru di Era Baru, Kompas 5. Ray, Partha Pratim (2017). "Internet of things for smart agriculture: Technologies, practices and future direction". Journal of Ambient Intelligence and Smart Environments. 9 (4): 395–420. 6. "Are You Ready For The Fourth Industrial Revolution?". The One Brief. 2017. 7. Imkamp, D., Berthold, J., Heizmann, M., Kniel, K., Manske, E., Peterek, M., Schmitt, R., Seidler, J., and Sommer, K.-D. (2016): Challenges and trends in manufacturing measurement technology – the “Industrie 4.0” concept, J. Sens. Sens. Syst., 5, 325–335 8. Schwab, Klaus (2016). The Fourth Industrial Revolution. New York: Crown Publishing Group. 9. Schwab, Klaus (2015). "The Fourth Industrial Revolution" 10. Markus Liffler; Andreas Tschiesner (2013). "The Internet of Things and the future of manufacturing". McKinsey & Company".

Apa yang disebut dengan Revolusi Industri 4.0 (RI4.0) atau Industrial Revolution 4.0 (IR4.0)? Bagaimana ia terjadi? Apa dampaknya bagi dan dalam hidup kita sehari-hari? Apa kaitannya dengan kinerja dan peran Pemerintah? #NALAR mencoba mendalami gagasan Revolusi Industri 4.0 secara sederhana untuk melihat kaitan antara kemajuan teknologi dan implikasinya serta tantangan dan peluang yang dibawanya. REFERENSI 1. Schwab, Klaus (12 December 2015). "The Fourth Industrial Revolution" 2. Schwab, Klaus (2016). The Fourth Industrial Revolution. New York: Crown Publishing Group. 3. "Are You Ready For The Fourth Industrial Revolution?". The One Brief. 4 May 2017. 4. Yin, Yong; Stecke, Kathryn E.; Li, Dongni (2018). "The evolution of production systems from Industry 2.0 through Industry 4.0". International Journal of Production Research. 56 (1–2): 848–861. 5. Imkamp, D., Berthold, J., Heizmann, M., Kniel, K., Manske, E., Peterek, M., Schmitt, R., Seidler, J., and Sommer, K.-D.: Challenges and trends in manufacturing measurement technology – the “Industrie 4.0” concept, J. Sens. Sens. Syst., 5, 325–335 6. Ray, Partha Pratim (2017). "Internet of things for smart agriculture: Technologies, practices and future direction". Journal of Ambient Intelligence and Smart Environments. 9 (4): 395–420. 7. Markus Liffler; Andreas Tschiesner (2013). "The Internet of Things and the future of manufacturing | McKinsey & Company". Mckinsey.com. 8. "Innovation 4.0: A Digital Revolution for R&D". New Statesman. 9. Nugroho (2018) Geoekonomi Digital, Kompas 10. Nugroho (2018) Peluang Baru di Era Baru, Kompas

This is Listen to the Editors, a series of interviews with journal editors to unveil the trends in research for Operations and Supply Chain Management. In this episode, we are interviewing two of the guest editors for the Journal of Operations Management (JOM) Special Issue on Covid-19, Chris Voss and Xiande Zhao. The host for this show is Iuri Gavronski, Associate Professor for the Graduate Program in Business for the UNISINOS Jesuit University. Listen to the editors is an initiative of the Operations and Supply Chain Management division of the Academy of Management. We post our interviews monthly in our division website. You can discuss any of the topics of this episode using our interactive tool, https://connect.aom.org. Using the discussion section of our site, you can also post suggestions for questions, journal editors you would like to hear from, and requests for clarifications. You can also subscribe to our podcast in Apple Podcasts, Spotify, or with the Podcast Addict app on Android. Website for the Journal: ======================== https://onlinelibrary.wiley.com/journal/18731317 Call for Papers: ================ https://onlinelibrary.wiley.com/pb-assets/assets/18731317/JOM%20CFP%20-%20COVID-19%20and%20Global%20Supply%20Chains-1586282145923.pdf Editors’ Bios: ============== Dr. Hau L. Lee is the Thoma Professor of Operations, Information and Technology at the Stanford Graduate School of Business. His areas of specialization include global value chain innovations, supply chain management, global logistics, inventory modeling, and environmental and social responsibility. He was the founding director of the Stanford Institute for Innovations in Developing Economies, and is a co-director of the Stanford Value Chain Innovation Initiative. He has published widely in journals such as Management Science, Operations Research, Harvard Business Review, Sloan Management Review, Supply Chain Management Review, Production and Operations Management, IIE Transactions, and Interfaces, etc. He has served on the editorial boards of many international journals. From 1997-2003, he was the Editor-in-Chief of Management Science. In 2006, he was President of the Production and Operations Management Society. He was elected to the National Academy of Engineering in 2010. Dr. Xiande Zhao is JD.COM Chair Professor in Operations and Supply Chain Management at China Europe International Business School (CEIBS). His recent research interests mostly focus on supply chain and business model innovations, supply chain finance, digital supply chain, and supply chain optimization using big data. He has published over 150 journal articles in leading journals including Journal of Operations Management, Production and Operations Management, Journal of Consumer Research, European Journal of Operations Research, International Journal of Production Research and International Journal of Production Economics. He is an Associate Editor for Journal of Operations Management, Decision Sciences, and a Senior Editor of Production and Operations Management. He is also the co-Chief Editor for Journal of Data, Information and Management. He is the founder and honourable president of Association of Supply Chain and Operations Management (ASCOM), and was the President of Asia Pacific Institute of Decision Sciences (APDSI). He also received more than 10 academic awards including the Jack Meredith best paper award from Journal of Operations Management. Dr. Xiang Li is a professor with the School of Economics and Management, Beijing University of Chemical Technology. His recent research interests mostly focus on transport management, logistics management, and optimization under uncertainty, big-data analytics and applications. He has published over 80 articles in international journals including Transportation Research Part B, Transportation Research Part C, Information Sciences, European Journal of Operational Research, Omega, Computer and Industrial Engineering, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Intelligent Transportation Systems, and so on. He is the Editor-in-Chief for the Journal of Data, Information and Management, Associate Editor for Information Sciences, Transportmetrica B, Journal of Ambient Intelligence and Humanized Computing, and editorial board member for International Journal of General Systems. He was the president of International Conference on Intelligent Transportation and Logistics with Big Data (2017, 2018, and 2019). Dr. Chris Voss is Professor of Operations Management at Warwick Business School and Emeritus Professor of Operations Management at London Business School where he has served as deputy dean. His recent research has included supply-chain management, service supply chains, architecture and modularity, e-services, and service innovation. He has published in leading journals including Journal of Operations Management, Journal of Supply Chain Management, Production and Operations Management, IEEE Transactions, Journal of Product Innovation Management, Decision Science Journal, International Journal of Operations and Production Management, International Journal of Journal of Production Economics, and Journal of Service Research. He is Associate Editor of the Journal of Service Research. He was co-founder and long-term chair of the European Operations Management Association, and serves on several editorial boards. He has received many academic awards including distinguished scholar of the OM division of the Academy of Management. Deadlines: ========== The full-paper submission: January 31, 2021 First Round Review and decisions: April 30, 2021 Second Round Revision Submission: July 31, 2021 Final round review and decisions: September 30, 2021 Acknowledgements: ================= Background music: ================= “Night & Day” by Dee Yan-Key is licensed under CC-BY-NC-SA http://freemusicarchive.org/music/Dee_Yan-Key/years_and_years_ago/08--Dee_Yan-Key-Night___Day 2020-04-14 - Episode 014

Interview with I Glenn. Cohen, JD, author of Ethical and Legal Aspects of Ambient Intelligence in Hospitals

Ambi Labs is an IoT startup founded & headquartered in Hong Kong. Inspired by the concept of “Ambient Intelligence”, we believe that truly smart technology is intuitive and seamless – fading into the background and augmenting the user’s lifestyle. Our mission is to bridge the gap between outdated appliances and modern technology to make the modern home comfortable and energy efficient. Ambi Climate, is an AI-powered air conditioning add-on device that offers personalized comfort. Using built-in sensors and artificial intelligence technology, it detects and analyses the impact of multiple factors on your thermal comfort, such as temperature, humidity, weather and sunlight. It also learns your feedbacks and habits, and auto-adjusts your AC to deliver the perfect home environment. *Note: If you are a Startup and want to tell your startup story on our Pitchdeck Asia show, Click here - http://www.pitchdeck.asia/pda-soundcloud*

Produced by Pikkal & Co - Award-Winning Podcast Agency. Ambi Labs is an IoT startup founded & headquartered in Hong Kong. Inspired by the concept of "Ambient Intelligence", we believe that truly smart technology is intuitive and seamless - fading into the background and augmenting the user's lifestyle. Our mission is to bridge the gap between outdated appliances and modern technology to make the modern home comfortable and energy efficient. Ambi Climate, is an AI-powered air conditioning add-on device that offers personalized comfort. Using built-in sensors and artificial intelligence technology, it detects and analyses the impact of multiple factors on your thermal comfort, such as temperature, humidity, weather and sunlight. It also learns your feedbacks and habits, and auto-adjusts your AC to deliver the perfect home environment.

Discover more tech podcasts like this: Tech Podcast Asia. Produced by Pikkal & Co - Award Winning Podcast Agency. Ambi Labs is an IoT startup founded & headquartered in Hong Kong. Inspired by the concept of "Ambient Intelligence", we believe that truly smart technology is intuitive and seamless - fading into the background and augmenting the user's lifestyle. Our mission is to bridge the gap between outdated appliances and modern technology to make the modern home comfortable and energy efficient. Ambi Climate, is an AI-powered air conditioning add-on device that offers personalized comfort. Using built-in sensors and artificial intelligence technology, it detects and analyses the impact of multiple factors on your thermal comfort, such as temperature, humidity, weather and sunlight. It also learns your feedbacks and habits, and auto-adjusts your AC to deliver the perfect home environment.

Ambi Labs is an IoT startup founded & headquartered in Hong Kong. Inspired by the concept of “Ambient Intelligence”, we believe that truly smart technology is intuitive and seamless – fading into the background and augmenting the user’s lifestyle. Our mission is to bridge the gap between outdated appliances and modern technology to make the modern home comfortable and energy efficient. Ambi Climate, is an AI-powered air conditioning add-on device that offers personalized comfort. Using built-in sensors and artificial intelligence technology, it detects and analyses the impact of multiple factors on your thermal comfort, such as temperature, humidity, weather and sunlight. It also learns your feedbacks and habits, and auto-adjusts your AC to deliver the perfect home environment. *Note: If you are a Startup and want to tell your startup story on our Pitchdeck Asia show, Click here - http://www.pitchdeck.asia/pda-soundcloud*

Ambi Labs is an IoT startup founded & headquartered in Hong Kong. Inspired by the concept of “Ambient Intelligence”, we believe that truly smart technology is intuitive and seamless – fading into the background and augmenting the user’s lifestyle. Our mission is to bridge the gap between outdated appliances and modern technology to make the modern home comfortable and energy efficient. Ambi Climate, is an AI-powered air conditioning add-on device that offers personalized comfort. Using built-in sensors and artificial intelligence technology, it detects and analyses the impact of multiple factors on your thermal comfort, such as temperature, humidity, weather and sunlight. It also learns your feedbacks and habits, and auto-adjusts your AC to deliver the perfect home environment. *Note: If you are a Startup and want to tell your startup story on our Pitchdeck Asia show, Click here - http://www.pitchdeck.asia/pda-soundcloud*

The O'Reilly Design Podcast: Designing for IoT, service design, and predictive analytics.This week's episode of the Design Podcast features a conversation I had with Mike Kuniavsky last fall. Kuniavsky is a user experience designer, researcher, and author currently working at Parc. He's also a speaker at the upcoming O'Reilly online conference "Designing for the Internet of Things," September 15, 2016. In our chat, Kuniavsky talks about designing for the IoT, service design, and the mindshift needed to design for ecosystems.Here are some highlights: Every new medium is the old medium I was reading this book that was published by Philips Design on their Ambient Intelligence project. They actually thought through the entire Internet of Things thing about 15 years ago, and then they couldn't make any money on it, and all those people went away. Now it's actually a real thing. They left some really good documentation. I was reading the Philips Design book, and they had a very interesting point from mine and probably one of Tim O'Reilly's favorite theorists, Marshall McLuhan. McLuhan essentially said that the content of every new medium is the old medium. Every new medium subsumes the old medium of the content until you actually figure out what the new medium is. When television came about, the stuff that was initially on television was essentially radio, until they actually figured out what television was good for. When radio came out, it was people reading the newspaper on the radio, until they figured out what radio was good for. It's like that going all the way back. Right now, in the Internet of Things, we're in this place where the content of the Internet of Things is the pre-Internet of Things world. It's all of the things that are either currently not connected, which are everyday objects, or it's the electronic things which are being shoehorned. What we're trying to do is we're trying to get over that hump and trying to figure out what are the natively interesting qualities of the Internet of Things that make it really different than home automation, which has been around for 30 years and has been an abject failure on every front, or simply connecting appliances to the Internet. On UX design and service design We're really looking hard at service design as a model. The funny thing is, service design isn't even a mature thing. It's not like we can import an entire discipline. Service design was a just a couple puzzle pieces just a couple years ago. It wasn't a finished product as it is. We're trying to take those puzzle pieces and we're trying to say, OK, now what happens when all of these different components of a service, these different things that service design is looking at—they describe front of house, back of house, different kinds of players and actors within that space—what if we replaced some of those with devices? What if we replaced some of those things with sensors and actuators? What happens to the service in that situation? That's how we're trying to envision an entire ecosystem without actually having any of the pieces of it in place. There's this slippery slope between service design and UX design. I think UX design is more digital, and service design allows itself to include things like a poster that's on a wall in a lobby, or a little card that gets mailed to people, or a human being that they can talk to, and what does that human being say and under what circumstances do they say it. Service design takes a slightly broader view, whereas UX design is still—and I think usefully—focused largely on the digital aspect of it. Pattern matching and predictive analytics I'm interested in, broadly speaking, predictive analytics—I should say, machine learning, statistical modeling, but specifically in predictive statistical modeling, predictive machine learning. I think that really that is the new superpower. That is literally looking into the future with some degree of confidence. In a place where you would never normally be able to look into the future, like identifying how often I pick up my cup of coffee. My cup of coffee would never have been able to tell me that before. Now it can. Again, to some degree, and that's really interesting. That's really a different relationship. That's to me a big shift in our relationship to our everyday objects and their relationship to how they can—as per my earlier point—how they can make our lives better. That's why I'm really interested in the predictive stuff right now. We as humans have no idea how limited our sensors are, our own personal ability to sense the world. We're really good at pattern matching in certain ways, and we're really not very good in many other ways, and we've never really had a very good way to compensate for that. Now, to some extent, we do, and that's really interesting.

The O'Reilly Design Podcast: Designing for IoT, service design, and predictive analytics.This week's episode of the Design Podcast features a conversation I had with Mike Kuniavsky last fall. Kuniavsky is a user experience designer, researcher, and author currently working at Parc. He's also a speaker at the upcoming O'Reilly online conference "Designing for the Internet of Things," September 15, 2016. In our chat, Kuniavsky talks about designing for the IoT, service design, and the mindshift needed to design for ecosystems.Here are some highlights: Every new medium is the old medium I was reading this book that was published by Philips Design on their Ambient Intelligence project. They actually thought through the entire Internet of Things thing about 15 years ago, and then they couldn't make any money on it, and all those people went away. Now it's actually a real thing. They left some really good documentation. I was reading the Philips Design book, and they had a very interesting point from mine and probably one of Tim O'Reilly's favorite theorists, Marshall McLuhan. McLuhan essentially said that the content of every new medium is the old medium. Every new medium subsumes the old medium of the content until you actually figure out what the new medium is. When television came about, the stuff that was initially on television was essentially radio, until they actually figured out what television was good for. When radio came out, it was people reading the newspaper on the radio, until they figured out what radio was good for. It's like that going all the way back. Right now, in the Internet of Things, we're in this place where the content of the Internet of Things is the pre-Internet of Things world. It's all of the things that are either currently not connected, which are everyday objects, or it's the electronic things which are being shoehorned. What we're trying to do is we're trying to get over that hump and trying to figure out what are the natively interesting qualities of the Internet of Things that make it really different than home automation, which has been around for 30 years and has been an abject failure on every front, or simply connecting appliances to the Internet. On UX design and service design We're really looking hard at service design as a model. The funny thing is, service design isn't even a mature thing. It's not like we can import an entire discipline. Service design was a just a couple puzzle pieces just a couple years ago. It wasn't a finished product as it is. We're trying to take those puzzle pieces and we're trying to say, OK, now what happens when all of these different components of a service, these different things that service design is looking at—they describe front of house, back of house, different kinds of players and actors within that space—what if we replaced some of those with devices? What if we replaced some of those things with sensors and actuators? What happens to the service in that situation? That's how we're trying to envision an entire ecosystem without actually having any of the pieces of it in place. There's this slippery slope between service design and UX design. I think UX design is more digital, and service design allows itself to include things like a poster that's on a wall in a lobby, or a little card that gets mailed to people, or a human being that they can talk to, and what does that human being say and under what circumstances do they say it. Service design takes a slightly broader view, whereas UX design is still—and I think usefully—focused largely on the digital aspect of it. Pattern matching and predictive analytics I'm interested in, broadly speaking, predictive analytics—I should say, machine learning, statistical modeling, but specifically in predictive statistical modeling, predictive machine learning. I think that really that is the new superpower. That is literally looking into the future with some degree of confidence. In a place where you would never normally be able to look into the future, like identifying how often I pick up my cup of coffee. My cup of coffee would never have been able to tell me that before. Now it can. Again, to some degree, and that's really interesting. That's really a different relationship. That's to me a big shift in our relationship to our everyday objects and their relationship to how they can—as per my earlier point—how they can make our lives better. That's why I'm really interested in the predictive stuff right now. We as humans have no idea how limited our sensors are, our own personal ability to sense the world. We're really good at pattern matching in certain ways, and we're really not very good in many other ways, and we've never really had a very good way to compensate for that. Now, to some extent, we do, and that's really interesting.

Il Gruppo Consoft sarà tra gli sponsor dell’evento organizzato dal Dipartimento di Automatica e Informatica del Politecnico di Torino e TreataBit, il prossimo 29 settembre. L’incontro/esposizione di svolgerà a partire dalle ore 17.00 presso la sala Agorà, I3P di via Pier Carlo Boggio 59 a Torino e proporrà i migliori lavori interdisciplinari realizzati dagli studenti del corso “Ambient Intelligence: technology and design” tenuto dal Prof. Fulvio Corno del Dipartimento di Automatica e Informatica del Politecnico di Torino nell’anno accademico 2014-2015. Un’occasione di incontro tra le competenze degli studenti, dei professionisti e delle aziende e startup operantinell’ambito Smart Home, Smart Building, Smart Cities, dell’Interaction Design e dell’Internet of Things. Nello Showcase saranno presentati prototipi che utilizzano, tra gli altri, tecnologie IoT, dispositivi wearable e mobile, wireless sensor network, interazione utente, in ambiti quali le abitazioni domestiche, gli edifici e il contesto urbano.

Our devices and wearables collect so much ambient information about us and use it to create great, often unnoticed and sometimes slightly creepy experiences for us. This talk looks at what this new AI can do for us and how, as UX people, we can use the power for good!

Voce del Glossario a cura di Anna Galtineri TECNOLOGIE ADATTIVE “Le tecnologie adattive sono tecnologie che modificano la loro configurazione e la loro interazione in base alle risposte degli utenti e all’ambiente in cui esse avvengono” (Epasto, A. A., 2009). Le tecnologie adattive fanno riferimento alla cornice teorica indicata con l’espressione Ambient Intelligence e cioè «intelligenza disposta intorno a noi». Tale espressione è stata coniata da Emile Aarts, che prese spunto dagli studi e dalle teorie di Weiser e Norman. Con tecnologie adattive s’intendono le tecnologie in grado di modificare automaticamente le caratteristiche dell’interfaccia e del compito in funzione delle modalità di utilizzo e dei (presunti) bisogni dell’utente. Un esempio di tale tecnologia è la funzione chiamata “Keyword suggestions” di Google, la quale, mentre digitiamo i termini della nostra ricerca, in automatico inizia a proporci una lista dei termini che più corrispondono a quelli che stiamo cercando, ordinati per popolarità. Esempi analoghi sono: l’autocompletamento delle parole di Openoffice writer (che “apprende” le parole a mano a mano che vengono scritte e successivamente le suggerisce allo scrivente) oppure la tecnologia T9 per la scrittura negli apparecchi mobili. Anche i tag cloud utilizzati nel web facilitano la navigazione personalizzando in maniera adattiva la visualizzazione dei link pertinenti. Le piattaforme di e-learning si avvalgono di tecnologie adattive volte a migliorare l’efficacia delle specifiche metodologie didattiche. Stiamo parlando di Adaptive and Intelligent Web-Based Educational System – sistemi di educazione intelligente e adattativa basata sul WEB). Tali sistemi si avvalgono di tecnologie come il filtraggio adattivo di informazioni (che sperimentiamo quando i motori di ricerca ci propongono le risposte alle nostre “domande”) e il wiki che consente la creazione collaborativa di contenuti e di reti di concetti, evidenziati dalla “tessitura” automatica di link ipertestuali che cresce con l’espandersi del contenuto creato. Le tecnologie adattive, nel migliorare continuamente l’accessibilità di un’interfaccia, segnano un passo in avanti verso una tecnologia sempre più intelligente e capace di rispondere autonomamente ai bisogni dell’utente.