Podcasts about artificial

Circadian rhythm optimization can improve metabolic health and support longevity. Learn ways to match lifestyle interventions with your circadian clock. Crush your next workout or sauna session with the new Electrolyte Stix by MYOXCIENCE: bit.ly/electrolyte-stix Use code podcast to save 15% OFF at checkout Link to show notes and video: https://bit.ly/3a6Zo9D Time Stamps:  02:10 A dysregulated circadian clock system causes disease and dysfunction at the cellular level. 02:30 20%-50% of your protein synthesizing genes oscillate on a diurnal rhythm. 03:40 Disease alters the circadian clock system. 04:40 Blood sugar management supplements and pharmaceuticals would be best taken in the afternoon or evening, when blood sugar levels are most erratic. 05:03 Blood lipid level management supplements and pharmaceuticals would be best taken in the evening, when lipid synthesis occurs. 05:54 Decrease inflammatory tone before you go to sleep by doing some light yoga, breath work, take probiotics or curcuminoids. 07:30 Sleep perturbations cause dysbiosis in gut bacteria. 09:40 The intensity of your circadian rhythm is reduced as you age. 11:10 Circadian chronotypes influence the timing of cancer interventions.   12:00 N-acetylcysteine and other antioxidants are best taken in the evening or before bed. 12:40 Results of studies may be inaccurate due to timing. 15:20 Shift workers have a higher incidence of cancer, metabolic disease, and obesity. 14:50 Cold, food, heat, meal timing and exercise influence your circadian clock system. 17:20 Menopause challenges the circadian clock system, reducing the amplitude of the rhythms. 18:40 Young people/children's circadian rhythm is more light sensitive. Artificial light can be more problematic. 23:00 Fasting and feeding influence your circadian clock system. Break your fast between 11 and 1 pm when your digestive system is primed. 24:45 DHEA antagonizes cortisol's synthesis and expression. 28:05 Darkness is a circadian cue. Exercise light hygiene. 31:25 Morning cold exposure and evening heat exposure enhances circadian amplitude.

Neste episódio numero 100 da segunda temporada, patrocinada pela Oi Soluções, o Andrea comenta a fundo 2 frases da Amy Webb, futurista e professora na NYU, que falam sobre como o impacto da Inteligência Artificial sobre o futuro do trabalho, e sobre como gerenciar as múltiplas identidades no Metaverso.

Neste episódio, conversamos com Juliana Sakai e André Fernandes sobre a estratégia brasileira de inteligência artificial, a EBIA. Ajude o Segurança Legal a continuar existindo. Visite nossa campanha de financiamento coletivo e nos apoie! ShowNotes Análise automática deContinue reading

Mark is a psychoanalyst and neuropsychologist, best known for his discovery of the brain mechanisms of dreaming and his use of psychoanalytic methods in contemporary neuroscience. He holds the Chair of Neuropsychology at the University of Cape Town and Groote Schuur Hospital and is the President of the South African Psychoanalytical Association. He is also Research Chair of the International Psychoanalytical Association. Mark has received numerous awards, notably Honorary Membership of the New York Psychoanalytic Society, the American College of Psychoanalysts and the American College of Psychiatrists. He has published more than 250 articles and book chapters, and 6 books. His second book, The Neuropsychology of Dreams, was a landmark contribution to the field. His 2002 book (with Oliver Turnbull), The Brain and the Inner World was a best-seller and has been translated into 13 languages. His latest book, on the hard problem of consciousness, is The Hidden Spring. In Sentientist Conversations we talk about the two most important questions: “what's real?” & “what matters?” Sentientism is "evidence, reason & compassion for all sentient beings." The video of our conversation is here on YouTube. We discuss: 00:00 Welcome 01:29 Mark's Intro - The brain as the organ of the mind - Breaking from behaviourism - Studying psychoanalysis (first person) alongside neuroscience (studying from the outside) - The value of interdisciplinary studies of consciousness - Artificial intelligence perspectives 06:08 What's Real? - Sunday school, Christian mother - At 5-6 yrs old, father said "Your mum believes in all that stuff, I don't." - Brother's horrific accident & brain damage: "He came back from the hospital... a changed person." "Who is this guy and where is Lee?" - "I was forced at an early age to confront this question of the relationship mind & body... the person & the organism" - "My sentient being must somehow be bound up with the functions of this bodily organ" - "I think we underestimate little kids... they really do think about these things" - "Clearly he is his brain" - Finding it terrifying... intimations of our own mortality - Lying in bed in panic: "I am going to cease to exist" - Depression: "what's the point?" - Becoming atheist, now agnostic. Appreciating the limits of human comprehension (through working with patients) - "We're only able to comprehend as much as the instrument we use... is capable of... it's not a perfect instrument" - Taking a comfort in ignorance & the limits of our capability - "Do the best we can to understand" but "science has limits" - Un-testable/falsifiable beliefs. Delusions as a response to frightening uncertainties ...and much more. Full show notes at Sentientism.info. Sentientism is “Evidence, reason & compassion for all sentient beings.” More at Sentientism.info. Join our "I'm a Sentientist" wall via this simple form. Everyone, Sentientist or not, is welcome in our groups. The biggest so far is here on FaceBook. Come join us there! Thanks Graham.

www.Aiandpower.com In this episode, IIT students and faculty ask Rajiv Malhotra tough questions on Artificial intelligence, the future of consciousness and mankind. They raise burning questions from the book AI and Future of power. Rajiv provides critical insight to IIM faculty and students in the process of providing answers. To support Infinity Foundation's projects including the continuation of such episodes and the research we do: इनफिनिटी फ़ौंडेशन की परियोजनाओं को अनुदान देने के लिए व इस प्रकार के एपिसोड और हमारे द्वारा किये जाने वाले शोध को जारी रखने के लिए: http://infinityfoundation.com/donate-2/ Do check out our YouTube channel 'Rajiv Malhotra Official' and do follow us on Facebook '@RajivMalhotra.Official' and Twitter '@InfinityMessage' and '@RajivMessage'. --- Support this podcast: https://anchor.fm/kurukshetra/support

Clip: Marc Teyssier "Human-Like Artificial Skin Sensor" by Marwa ElDiwiny

Marc Teyssier "Human-Like Artificial Skin Sensor" by Marwa ElDiwiny

Having designed gardens for 20 years, Lynne Marcus was appointed the chair of the Society of Garden Designers in 2006. Marcus tells the HortWeek podcast about how she has had to adapt the way she designs gardens to adapt to the effects of climate change. She also touches upon how clients are responding, advising on how to lead them to make sustainable choices. As well as some of her favourite design choices, Marcus reveals her least favourite – artificial grass – and why she believes it needs to be banned. Marcus also outlines the SGD's upcoming symposium which will address the deepening climate crisis and explore the positive impact garden and landscape design can have on the environment. See acast.com/privacy for privacy and opt-out information.

Americans are now awakening to the grim fact that the record fuel & food prices along with massive shortages of key staples like baby formula & medicine are part of an ADMITTED globalist plot to collapse western civilization and build an authoritarian technocracy upon its ashes. We are in the beginning of the Great Reset! https://www.infowars.com/posts/biden-calls-trump-the-great-maga-king-thursday-live/

Artificial intelligence and autonomous systems are poised to change the battlefield, and with it, soldiers themselves. Today, the human cost of war is high. Will that be true of tomorrow's wars, or will humans be removed from the front lines, left to orchestrate surgical drone strikes and autonomous technology behind the scenes? And what about the soldiers themselves? Today, pilots are operating drones from the other side of the world, but they're still reporting high levels of trauma. Will reducing the humans involved in combat also reduce the humanity that should govern it? Can modern soldiers be both ethical and effective? And how will emerging technologies such as AI and robotics affect human soldiering? This week, ‘What Happens Next?' examines a new topic this week: the future of soldiering. Join Dr Susan Carland as she talks to veterans and experts in ethics; robotics, autonomous systems, and artificial intelligence; resilience; and military conduct to discover what the future we face looks like if we fail to consider the moral and ethical quandaries presented by new technologies on the battlefield. This week's guests are philosophy professor Dr Rob Sparrow; alumnus and veteran Dr Josh Roose; Dr Kate Devitt, Chief Scientist of Trusted Autonomous Systems, CRC; former SAS Commanding Officer Ben Pronk DSC; and Paul Scharre, a former US Army Ranger and the author of ‘Army of None: Autonomous Weapons and the Future of War'. A full transcript of this episode is available on Monash Lens. ‘What Happens Next?' will be back next week with part two of this series, “Will AI Change the Future of Soldiering?”. In the meantime, check out this short documentary on how robotics and AI are changing civilians' lives, too. If you're enjoying the show, don't forget to subscribe and rate or review ‘What Happens Next?' to help listeners like yourself discover it. See omnystudio.com/listener for privacy information.

Artificial Intelligence (AI) is here to make your life easier. But, can it help you become a better content creator? Artificial intelligence is on the rise as more and more people are using it to edit and produce content. Whether it's for marketing or just getting some writing done, AI tools can offer a lot of help. AI writers are helping content writers by removing all the tedious parts that would otherwise take up too much time and effort. They can also generate content ideas for you at such a fast rate that it can be difficult to keep up with them all! In this clip from an earlier talk, you'll hear: Why AI writers should not be seen as a replacement for human copywriters. How my love of newsletters helped me discover the secret ingredient to writing great copy. What you should know before you jump into writing with A.I. tools exclusively This episode is short, sweet, and packed full of juicy takeaways! Grab a cup of Joe ☕️ (or whatever you're sipping') and takes some notes. Visit the site www.MsCourtneyJones.com for more tips, tools, and episodes on creating a genuine connection with your audience Tools Mentioned In The Episode: Rytr.ai Predis.ai Peppertype.ai (Some of the links in this post are affiliate links. This means if you click on the link and purchase the item, I will receive an affiliate commission at no extra cost to you. All opinions remain my own.) --- Send in a voice message: https://anchor.fm/courtney-jones/message

Caio Reina e a Inteligência Artificial para roteirização mais eficiente com a RoutEasy.  O Caio é formado em Engenharia Cartográfica pela Universidade Estadual Paulista (UNESP) e mestre em Engenharia de Transportes pela Universidade de São Paulo (USP), já trabalhou na área de Supply Chain e Operações em empresas como a Ernst & Young e Neologic Consultoria.Além disso, ele também é especialista em roteirização e distribuição de serviços e é pesquisador em algoritmos de otimização.Se você estiver ouvindo esse episódio pelo Spotify não esqueça de clicar no botão “seguir”, se você estiver ouvindo pelo Apple Podcasts deixe 5 estrelas e comentário que eu leio todos. Me adiciona também no

Join me on the Fast Track to Grant Writer: www.teresahuff.com/vip What Do Grants and Gardening Have in Common? As it turns out, quite a lot. I've been helping my husband plant the garden this spring. He has quite the green thumb of the family. Sadly, I do not. However, it's given me the chance to reflect on how much grant writing and gardening have in common. 7 Ways Grants Are Like Gardening: Both take time, hard work, and patience to tend. We can't control the outcome, so we need to be prepared and follow through consistently.  Artificial opportunities may look good at first, but they won't produce the results we need.  Grants and gardens take nurturing and tending to build relationships and reputation.  We must learn to understand the needs and provide for those.  Plant before you need it so you can build your pipeline of harvest for the future. Prepare for the seasonality.  Listen to the full episode for a deeper dive into each.   Challenge Question: How can you shift your approach to cultivate a healthier grant garden? Connect with me over on LinkedIn or send me a message and I'll brainstorm with you. Listen to the episode for inspiration and practical advice.   Free Audit: How Grant-Ready Is Your Nonprofit? Are you feeling overwhelmed with trying to help your nonprofit apply for grants? Go through the free audit and I'll help you sort out the next steps for your organization. Do You Have What It Takes to Be a Grant Writer? Take the Quiz: If you're ready to explore a career in grant writing, take my free quiz, “Do you have what it takes to be a grant writer?” People are always surprised at how many skills they already have. The distance isn't as far as they thought. Let's figure out how you can use your skills to help change your world. If you're ready to step up your nonprofit game in 2022, join me on the Fast Track to Grant Writer. The world needs you.   Other Episodes Mentioned: Episode 68: How You Can Prepare for the Seasonality of Grants Episode 80: 7 Things Grants Are NOT: What You Need to Know About Grant Funding Wondering how to find grants and keep up with all the applications? Check out Instrumentl! It's a robust grant search, tracking, and project management tool. Go to teresahuff.com/instrumentl and use the code GWSPOD for a free two-week trial AND $50 off your first month. Connect with Teresa Huff: Website: www.teresahuff.com Take the Quiz: Do you have what it takes to be a grant writer? Social: LinkedIn Community LinkedIn Instagram Pinterest Get on the Fast Track to Grant Writer:  www.teresahuff.com/vip

“Farewell” As the Europa mission prepares to launch, Picard and the former crew of the La Sirena must race to prevent Adam Soong from changing their future. Meanwhile, Tallinn fulfills her ultimate mission of protecting Renée and a special guest appears in a park. The end of Q's game arrives in a heartfelt closure to a relationship that spanned more than three decades as he and Jean-Luc both find closure, the penance paid. But the future isn't safe yet as a mysterious threat of galactic proportions must be put down. And then, it's drinks in 10 Forward. In this episode of The Artificial Tango, hosts C Bryan Jones and Matthew Rushing discuss “Farewell,” the final episode of Star Trek: Picard Season 2. We talk about how the characters find closure to the ghosts that have haunted them, reflect on the relationship between Q and Jean-Luc, and connect some final thematic dots. We also explore the winding nature of the timeline and ask whether it does or doesn't all fit together. Hosts C Bryan Jones and Matthew Rushing Production C Bryan Jones (Editor and Producer) Matthew Rushing (Executive Producer) Cornelia Reutner (Associate Producer)

O principal desafio agora é continuar as análises com bolsas de estudos, cursos e investimento em pessoas para aumentar o número de pesquisadores e beneficiar não só o governo, mas também o terceiro setor

O principal desafio agora é continuar as análises com bolsas de estudos, cursos e investimento em pessoas para aumentar o número de pesquisadores e beneficiar não só o governo, mas também o terceiro setor

Artificial intelligence has changed our world in major ways: autonomous vehicles, speech-recognition technology and algorithms that change what we see and hear on social media platforms. But the technology and data fueling AI is often powered by low-paid workers, particularly in the Global South. Some academics describes this as AI colonialism, suggesting that AI development is repeating exploitative colonial history. Marketplace’s Kimberly Adams speaks with journalist Karen Hao, who recently published a series about AI colonialism in MIT Technology Review. Your donation powers the journalism you rely on. Give today to support “Marketplace Tech.”

Artificial intelligence has changed our world in major ways: autonomous vehicles, speech-recognition technology and algorithms that change what we see and hear on social media platforms. But the technology and data fueling AI is often powered by low-paid workers, particularly in the Global South. Some academics describes this as AI colonialism, suggesting that AI development is repeating exploitative colonial history. Marketplace’s Kimberly Adams speaks with journalist Karen Hao, who recently published a series about AI colonialism in MIT Technology Review. Your donation powers the journalism you rely on. Give today to support “Marketplace Tech.”

Artificial intelligence is shaping healthcare in Canada and around the world. The role of AI in delivering care will evolve and, indeed, grow. As a series of tools, it offers opportunities for patients and practitioners; yet, as with any technology, it comes with risks. As with any tool, AI will only be as good as those who create and operate it. Given who we are – and our track record – that ought to give us pause.Understanding, interrogating, and mobilizing new technologies requires care, diligence, and diversity. When it comes to equitable, accessible healthcare, we require heaps and heaps of such considerations. So, in this episode we ask: What does artificial intelligence mean for the future of equitable, accessible healthcare? On this episode of Open to Debate, David Moscrop talks with Dr. Rim Khazal, an expert on AI policy who holds a PhD in Neuroscience from Carleton University.

What are the big influences in our property market today? The main one is one you probably haven't thought about. We often talk about price growth and supply and demand and the economy, but the one I'm going to share with you today may change the way you think about buying your next investment. So hopefully, at the end of today's show, you'll have some clarity on the big influences and what we at Metropole research when we help make our recommendations. Is this the most significant factor driving our property markets? What is the little secret behind whopping price growth? It's not the economy, even though that's important. It's not supply and demand, even though that plays a role. It's not infrastructure spending, availability of finance, or population growth either. Although all of these things are important and undoubtedly impact our real estate markets, the truth is there is one major factor that drives property values more than anything else. And that factor is homeowners or as we sometimes call them – Owner Occupiers. Fact is: they own close to 70 percent of all the properties in Australia and therefore dominate our market and without them, it simply falls over. So, it's interesting that while owner-occupiers are one of the most significant influences on property, they are commonly overlooked. Here's a relatively current snapshot of the national property market according to the Australian Bureau of Statistics (ABS) and CoreLogic: There are 10.7 million residential dwellings Australia-wide with a total value of $9.8 Trillion Spread across around 15,000 suburbs An additional 130,000 to 160,000 new dwellings are added every year The total debt against these dwellings is $2 Trillion (giving an overall Loan to Value Ratio for residential property of just over 20%) Residential real estate makes up 55.6% of Australian household wealth Investors own around 27% of Australian dwellings by number, and 24% by value. There are more than 2 million individual property investors in Australia Each property investor in Australia owns an average of 1.28 properties This is why I always give the following advice to investors who are searching for a strong property performer: Buy the type of property that will appeal to owner-occupiers. Owning a property with an element of scarcity that is located close to amenities, jobs, transport, lifestyle features and cultural, social aspects like cafés, bars, and arts precincts will always attract home buyers. But these are features that appeal to tenants, too. In general, the more established suburbs with better infrastructure, shopping, and amenities tend to be close to the CBD and the water and that's where the wealthy want to and can afford to live, and they're prepared to pay a premium to live there. The rich do not like to commute. Overall, by focussing your research on what those often-overlooked owner-occupiers are doing, you may just find an investment that outperforms the market and delivers strong value and growth over the long term. The 7 biggest influencers of our property markets Regardless of the economy, cycle, or market conditions, property is always a hot topic of conversation. The reality is that the property market isn't an independent economy sector. Rather, it's inextricably linked to a myriad of other financial, social, and political factors, all of which impact what your family home, or your next investment property, might be worth. So, what are these factors? Household formation This oft-overlooked factor is actually more important than overall population growth because what increases the demand for housing isn't the number of people living in a city (or country), but the number of dwellings needed to accommodate them. Demographics It's likely that now that we're moving into a Covid normal life our borders will open meaning more and more people will want to come and live in the safety of Australia. The population growth corridors of our cities tend to be poor capital growth locations. At the same time these locations tend to be where new families and migrants move, and this demographic, which tends to have a little spare cash left at the end of the month, are areas where there is little ability to push up the value of properties – these are not high wage-earning areas. Affordability Investors should avoid blue-collar areas or young family suburbs and seek out suburbs where wages growth is higher than the state averages. These are locations where people can afford to and will be prepared to, pay a premium to live. These are often the gentrifying middle ring suburbs of our capital cities. Credit policy Over the past few years, we've seen the significant impact changes in credit policy can have on our property markets. The fact is people simply can't buy properties if they can't access the cash. And while interest rates are unlikely to rise in the next little while, APRA is likely to interfere to try and slow down our property markets. National wealth, wage growth, and job creation Artificial intelligence experts have estimated that anywhere from 20 to 40 percent of all jobs could be taken over by robots in the future, meaning there will be fewer employment opportunities for unskilled workers or those who perform repetitive tasks. This means we will have fewer people doing more productive work. All of this could impact buyers' abilities to save deposits, secure finance, and pay mortgages, and in turn, influence house prices. Supply of dwellings As I've already explained, increasing the supply of dwellings is going to be paramount as our population increases. But people won't buy a house and land package 40km from the CBD if they can't get to work, or if local schools, shops, and medical facilities are lacking. Consumer confidence Regardless of how readily available credit is, or how fast the population is actually growing, people's perception of these things is just as important. Buying property is an emotion-heavy process, and buyers – both owner-occupiers and investors – often let their heartstrings pull them in directions their heads might not. Links and Resources: Michael Yardney Get the team at Metropole to help build your personal Strategic Property Plan Click here and have a chat with us Get a heap of eBooks and reports here: -  www.PodcastBonus.com.au Shownotes plus more here: What are the big influences in our property market today? Some of our favourite quotes from the show: “While investors look at all types of drivers of capital growth, they often forget that it's owner-occupiers who primarily drive our property markets forward.” – Michael Yardney “The research that we do is looking at where more household formation is going to occur.” – Michael Yardney “Currently, the media is full of negative headlines scaring off potential buyers.” – Michael Yardney PLEASE LEAVE US A REVIEW Reviews are hugely important to me because they help new people discover this podcast. If you enjoyed listening to this episode, please leave a review on iTunes - it's your way of passing the message forward to others and saying thank you to me. Here's how

"AUTHENTIC OR ARTIFICIAL? " | Trina Edwards | 5/8/22 by Bethesda Church

Hear how your organization should embrace change to grow   George Swisher is a former marketing entrepreneur and management consultant. He has a 15-year track record of improving company performance and shifting cultures to effective change management. He currently is co-founder and CEO of www.changeforce.ai, a software platform that helps leaders manage organizational change more precisely by analyzing the sentiment of company conversations in real time. A really interesting platform. Remember, I'm a corporate anthropologist who, like George, helps companies change, so I loved this interview. So will you. Watch and listen to our conversation here When you begin to change, things aren't all changing at the same time And you're not quite sure if it's moving at all, and sometimes you're moving a battleship with an oar. You're just hoping it's moving somewhere. But the technology which George has developed can identify where a culture is moving, which areas are strong and which are not.  First, he gathers data about what your culture is currently so you can make smarter decisions, whether you're a frontline employee, manager, director or executive entrepreneur. Then his software analyzes this data to help you scale what you are doing to do it faster, and save money. In essence, he helps you build better change processes of how you get things done so you can inform that process with meaningful information. In our podcast, we talk a great deal about George's own personal journey. You will love this conversation. Then come and share your own new ideas and see how they can soar. For a deeper dive into how to change your corporate culture so you can soar Blog: Need To Change Your Organization's Culture? 6 Best Ways To Do It. Blog: How's Your Culture? Doing Fine Or In Drastic Need Of An Overhaul? Podcast: Tristan White—A Great Place To Work Starts With A Great Culture Additional resources for you My award-winning second book: Rethink: Smashing The Myths of Women in Business My award-winning first book: On the Brink: A Fresh Lens to Take Your Business to New Heights Simon Associates Management Consultants    Read the transcript of our podcast here Andi Simon: Welcome to On the Brink With Andi Simon. I'm Andi Simon, and as you know, I'm your host and your guide. And my job is to help you get off the brink. I go looking for interesting people who are going to do just that. They will help you see, feel and think in new ways so that you can begin to soar again. These have been unusual times. I used to say, if you want to change, have a crisis or create one. I never expected a crisis of this sort. But I also preach, don't waste a crisis. Because it's a time where people will let you change, they will blame it on unexpected things. You'll never know where it can take you. So today I have with me George Swisher. Let me tell you about George just a little bit, because we have some very interesting and important conversations about technology and transformation to share with you. George is a former marketing entrepreneur and management consultant. He has a 15-year track record of improving company performance, and shifting cultures to effective change management. He currently is a co-founder and CEO of Changeforce.ai. You should look it up. It's a software platform that helps leaders manage organizational change more precisely by analyzing the sentiment of company objectives in real time. It's really an interesting platform. Remember, I'm a corporate anthropologist, and I like to help companies change. The question is, when you begin to change, things aren't all changing at the same time. And you're not quite sure if it's moving at all. And sometimes you're moving a battleship with an oar and you're hoping it's moving somewhere. And the technology that George has is very interesting as a way of identifying where it's strong or it's not. But today, we want to talk about culture, technology and business so we can see what's happening and where we're going. George, thanks so much for joining me. George Swisher: Thanks for having me, I'm really excited. Andi Simon: We are too. Tell the listeners about your own journey, because it's a perfect setup for where you are and where you're going. Who is George? And what's your journey?  George Swisher: That's great. It's a great way to start. I think you know, in talking today, my hope was to help people understand how technology can really help them. So it's less about the software. It's more about, where were the pivotal points in my personal path that got me to where I realized that I needed to have technology as a utility to make better decisions or be more effective in the work that I was responsible for. And so I was actually lucky to be a guest lecturer last night at Columbia. My co-founder, Dr. Nabil Ahmad, teaches a class on organizational strategy. He had a young group in there last night. And when I got home, I was taking the train home, and it reminded me of the moment, I remember exactly where I was, how old I was, when there was a huge tipping point where I said, Wow, if technology isn't a part of what I'm doing, I'm not going to be able to succeed at the path that I want. And, this group was really intelligent. So a lot of great questions reminded me of when I was about 19 years old. So I was young. Luckily, I went into the workforce young, I was going to school and working at the same time. So at 19, you can imagine you're doing all kinds of different things, trying to do studies, trying to get a job done. And I was working for one of the largest railroad companies in the country. I was sitting there and I was a part of a team of about 20 people. It was an operational management and customer service, not the most innovative departments usually. So they had hired a tech consultant who came in and he developed a basic Microsoft access database with a pretty front end on it. That pretty much took the team from 20 people to two people. And I was lucky enough to be one of the two people that got to stay. And what he ended up doing was figuring out a way to make managing customer service more efficient with less people. Some people thought it was bad. I thought it was brilliant. And that became the moment I was like, Wow, this person just came in and what I thought was my job today just completely changed in less than 24 hours. And it really made him look like a superhero to the company. Now of course the people who lost their jobs, it wasn't great for, but in terms of an organization and leadership, and what they were trying to do, here was this very simple thing that he did that completely changed that organization. And then this was a billion dollar company, right? This was a big, big deal. And it's when I realized that I needed to have a superpower like that if I was going to be able to go from a supervisor, which I was at the time, a young supervisor, to manager to director to executive to leadership. If I didn't have that kind of utility belt where I can just bolt on different pieces of technology to be my superpowers, I was gonna have to go at a much slower pace than I was willing to do. And that just became that time where it was. It was scary because I just watched 18 people lose their jobs because of technology. So I was a little bit fearful of it. But I was very intrigued by that. If I can use it the right way, it will help me beat out other people, bcause that's what I was at that age, that's all I was looking to do was build a career. Fast forward about five years, I ended up moving up in that company, by using that strategy. So I actually dropped out of school, and decided to spend that same time discovering different technologies, and what could I not do physically, that some type of software or technology could help me either gain information that I didn't have readily available to me, and that can be in many different ways, or to make something more efficient. If it can make it more efficient, it has that ripple effect of scale, speed, cost, efficiency and savings. And I knew if I can do that, that I could beat out a lot of other people who may have more formalized education. Five years later, I was running about a $50 million business unit at the age of 24, which is crazy to me at times. And that was almost 20 years ago, because I had beat out candidates who had MBAs, who had more work experience, but really couldn't understand how to create that speed and scale and cost effectiveness that I was able to do. And that's how I got into that position. And so last night just reminded me of how many leaders didn't get the luxury that I had to figure that out, as they've been moving through their careers. And what's always funny is when we have these conversations, a lot of times people ask so many questions about the physical technology, like, are you building it? Are you building artificial intelligence? What is machine learning? They get so into the details, which happened last night with these young leaders. My advice to them was, It's not about learning how to be an engineer, it's more of understanding what can't you do today? Is there some type of technology that can help you do that better, faster, more informed? If you can do that, you'll win the battle, right? If you go to hold it down into the hole, you get lost into the engineering world, which you don't want to. And so, I think that timeframe was really the moment where I just never looked back. Everything that I did, every career decision I made, hinged on the fact that I could constantly explore, and eventually I got into building our own technologies if we couldn't find them. So if there wasn't something out there, and we knew that we could have efficiency, I ended up becoming an entrepreneur at 25 and built a service organization. In consulting, you had technology enabling IT services, where we progressed really quickly. And that was the first time I had sold a company at the age of 30. And so I always come back to what enabled me to do all that was the fact that I was constantly trying to find ways to have superpowers beyond what I was able to do in a human capacity. And it ended up being some form of technology that did it. And that's why I feel like it's important to listeners. Andi Simon: Let me ask you a question as if I'm your audience asking you the question. Let's assume that we are like your Columbia students last night. What would be three things that are important for the listeners? Let's assume they're on the brink and they too want to soar. What is it they should look at and what should they see? How should it feel? What are we thinking about here, because you made an important point. It's not about being an engineer, it's not about the details of AI or machine learning or robots. It's a bigger picture that you're preaching. And if I hear you, which is that society is going through a great transformation, it's almost as big as the introduction of farming or fire or in the transformation. But if my audience is like your students, some of your observations would be very helpful to share your thoughts. George Swisher: So I will try to do three. One would be understanding what information you can not get your hands on today? I always love this idea of this concept, and there's a company that's called What If. They've done a great idea just to sit in a room and go, What if I could gain access to this information? And whatever that is, right? Information we hear now is data or big data, just get rid of the words. Just think about information, if you could figure out what information would inform you to make better decisions so it doesn't matter what role you're in. If I can get information about currently, it's going to enable me to actually make a smarter decision whether I'm a frontline employee, manager, director, executive entrepreneur, it doesn't matter. So I think number one it is to focus on that: what information do you need that you currently can't get today? And then try to find where you can get that. And the reality is, there most likely is some way to get that. You don't always have to build it. But there is some way that you most likely can put two softwares together. That's where you work with your engineers and go, Hey, take these two things, and put them together and give me the output because that output is going to allow me to make a decision that's going to scale what I'm doing, do it faster, save money. I think that's that one piece of finding information. Two is kind of the next step to that, which is, Is there a way that I can be more efficient in what we are trying to do. So if I'm a leader in an organization, I have one departmental kind of view, and then I understand what the company objectives are. How do I ladder up to that? Most of the people in the organization don't know how that works. There's huge limitations and where you can have efficiency. And I think efficiency is such a great, powerful tool, if you can figure out a way to get things done faster, more cost effectively, at a larger reach, you can have a greater impact. I think that is where you can turn information into a viable use. And so no matter what role you're in, if you can take those two things, and apply it before you make your decision and go, Is there information that I don't have access to? Can I get it? And then where's the efficiency in what I'm trying to do? Are there things out there that can help me do it more efficient, because then when you make your decision, you'll invest time, money, and resources behind those two things. Getting more information makes me make better decisions, being more efficient in the way we're trying to do something, which has a greater impact. I think the third part I was mentioning before and the advice that we gave the group last night is actually at the same company that I had that technology awakening. After that happened, and I stopped, I told my general manager at the time, Hey, I'm going to leave school, I want to invest more time in learning technology. And I said, You know, how does my job affect you and your job and what the company is trying to get done? Because I want to make sure that I don't go anywhere. I just watched 18 people be let go and I don't want to be let go. So as innocent as that was, my general manager at a very big business said, Have a seat. I got to learn how my job fit in as one of the cogs of the whole big picture. So as I continue to make decisions, I learned how this contributes to the bigger picture. Whether I agree with it or not, I think this is the ego you have to almost put aside. How do I fit into that bigger picture? Because I'm trying to fight my way up the ladder, how do I know what that ladder is and where I connect the dots? So I think that's the third advice. Third point that I would make is, If you can master those three things, you can become an incredibly effective leader, entrepreneur, decision-maker, which is where I personally believe that's where you want to invest your time. There are skills that you need to learn. But if you can master those three things, and know that technology fits into two of them, you can really move in the direction you want, better and faster. Andi Simon: Let me ask you my slightly burning question. A number of years ago, I taught several times for healthcare strategists, Your data is talking to you, can you hear it? As I'm listening to you, the challenge that leaders have is understanding what the data is telling them, the information and insights. The challenge was an abundance of data, not necessarily at the time the tools to analyze it for them. It wasn't artificial intelligence that was doing data analytics and telling you what to do as a result. There was just raw stuff. And part of that was, How do I turn it into the right stories for the right people to listen to so that they could make the right decisions and act in the right way? Think of a healthcare system. The stories they had to tell the C-suite were different from the ones they told the doctors, which were ones that were going to be different from facilities management, or from people who are going to be taking care of patients. They didn't understand that it wasn't one story. This was one pie chart. Those were the stories that they told, that affirmed what they already knew, not what the data was telling them. And they only found the data that conformed to that mind-story as opposed to transformed it. So I found it was very challenging to help them understand that the data was telling them something different from what they believed to be true. The expression, The only truth is, there's no truth. Like you are now opening up a whole, I won't call it a can of worms, but an interesting opportunity for leaders to understand what the data, the technology, can provide for the things that you mentioned: scale faster, and save money. That's a whole new strategy. So how do we help them as leaders understand what's upon them? I bet you were having that conversation with your general manager when you said, I don't want to leave, what do I have to do? You're smiling at me. So share with the listeners your thoughts about how they really warm up to this new stuff? Don't be afraid?  George Swisher: I think bravery is an incredibly powerful emotion that can help you overcome a lot of things. And I think I feel that I was lucky because I was mentored that way to have that bravery and just go at things and take the risk. I think this is not an uncommon theme that leads to just being okay with failure. Sometimes you're gonna make mistakes and you can fail fast and fix it fast and learn from it. You know that speed is the critical part. And I agree with you in the sense that we are in information overload. There are so many different sources of data that people don't necessarily know what to do with that, and it's kind of just thrown at them. This is what you don't have access to, you figure out what to do with it. I think if you haven't been trained to look at data, it's difficult. I feel like this kind of led me to the current path of doing work similar to yourself and the consulting side. The more I could understand how people were feeling or what was going on, specifically related to my objectives, the more informed I would be. If I give a tangible example, think of employee engagement surveys. This has been a hot button for five, six years: post surveys, all that stuff. It's great, but it is a ton of information. And a lot of times I feel like teams are getting that information from a manager for a department that came from the HR team and so forth. They're having to interpret it and relate it to what they're actually responsible for as the decision maker. This to me is the breaking point. That can we're opening up to say, information is important, but I want information specific to what I'm responsible for. And if I'm in a role that's connected to also what the company is trying to achieve, get rid of the noise and just give me that information so I can make effective decisions. So in a professional setting, I think that is where we have gotten to a stage. Let's take the healthcare example. What if something could actually tell you if you had an objective, which was to improve patient care. But as broad as that is, which is usually what objectives look like, super, super broad, there was a defined what is considered a good outcome and a bad outcome. If I'm the leader that's responsible for improving patient care, if I define that improving patient care, a good scenario, and outcome would be that our patients are so happy when they leave here that they make sure that their family members come back here, as basic as that sounds. A bad outcome is people check out of your hospital early and file lawsuits against us because they think that we are not treating them correctly. Let's just say that that's the two ranges we're working with. If I was the person responsible for putting tactics in place, so hiring people, putting new tools in place, better processes and procedures, if I could know how all of the people who affect that decision, so think of the facilities teams, think of the technology teams, they took the doctors and the patients, these are data streams, if I could analyze those data streams and say, Wow, within this specific hospital versus this other hospital, we're scoring on the negative side of that outcome. But in this facility, we're scoring on the positive side. Where would I concentrate my money and my resources and my time? The facility that had the positive information vs. the one that had the negatively reporting information coming back? This is what technology has advanced us to today that we can actually figure out by looking at different communications how relatable that communication is to a specific objective that I'm responsible for. And it can rate that communication. And if it's closer to the good or the bad outcome, you can get that instantly. Andi Simon: I love what you're saying. It isn't about that individual who is attempting to make sense out of the data, turn it into information and make insights out of it. The technology is able to assess the data information and create the insights so that you're wiser. Because then the technology now is your partner in this, not simply a servant delivering raw stuff, that you've got to cook, am I correct?  George Swisher: You're right. You have the ability now as a leader to tell the technology what you lead. An example of that was like an objective and a good outcome and a bad outcome. If I tell the technology to only give me information back contextually related to that, and then tell me what's good and bad, because I already told you what the range was, how powerful would that be? In any decision that you were making? Andi Simon: Well, it takes away all of the complexity and uncertainty as long as you trust the data collected. The endless agony in healthcare we're having is that the doctors are very fast at discounting the data. And now the technology has to build the trust that it's great data and not bad data. Because I've been with too much poor data, people who are trying to convince not just the doctors, but the leadership, that the story that they're crafting is correct, not just "trust me." The uncertainties and unknowns become threatening to people who have very different stories in their minds about what the data ought to look like and what they believe to be true. You are developing content. We talked a little bit about what you've developed because I do think it offers a very powerful solution since I work with companies that need to change. One of the challenges is how we are changing. Talk a little bit about your platform because I think change force has enormous power, and people should be aware of it and people should start to think about how to use it.  George Swisher: Let's talk about the mission that we're trying to do and I think it relates back to what we were just saying. Let's use a different topic other than something in healthcare. Your book you wrote about women progressing in the business and leadership role, I think is a great, great topic. Our mission is to help leaders be more informed of the sentiment around the objectives they are trying to achieve in a very specific lane. There are all different ways that companies like yours, persons like yourself, and companies, are trying to help build better change processes of how you get things done. We just want to be able to inform that process with very meaningful information. So the way that we have focused that mission as the starting point has been where we can analyze communication platforms such as Slack, Microsoft Teams, employee engagement, survey data, emails, things like this, where our software, using artificial intelligence, natural language processing, is able to contextually understand the messages that are inside of those Slack channels, and how relatable they are to the objectives you're trying to achieve. So let's just say that we know that diversity, equity inclusion is a huge topic inside most organizations. Let's just say they have one of those objectives around empowering women to be better leaders and availability of being leaders inside the organization. You define a good outcome and a bad outcome. A good outcome is we are open and have every resource available to empower women to get through the ranks and become leaders in the organization. A bad outcome is we have complete roadblocks, biases and all these things are going on. Our software can actually analyze all those communication channels, contextually map and say, These are the conversations that are related to that specific objective around empowering women to become leaders in the organization. And it will read it from a score of A to F. Just go back to grade school above where those communications sit. So you have the ability to understand the specific contextual sentiment, not just negative positives. It's hard to kind of figure out what that means. If I know that good has a specific, measurable piece, and bad has a measurable indicator, and this is sitting in that range, I can understand what that means, as the decision maker. And the way that we've done it is, we allow our customer to compare that set of information across all different types of indicators. For example, you know locations, or, you know roles within the organization, employee type, almost any type of information stored in the human capital management software. It's like the workdays of the world. You can slice that data and go, Okay, well, I can see in this empowering women to be leaders in our organization, our scoring has been over in this region, or this department, or this age range of our company. And over here we are scoring an F. So the idea is that we're just trying to figure out what's going on.  What we've been able to see now is, especially with the pandemic, it's forced people to use more digital communications. Some companies are upwards of 90% of their communications that used to be verbal and in person is now some form of digital communication. We now can read that communication, and just give you some indication of where the barometer is today, and then track it over time. So if you make decisions to say, Okay, well, this one department is scoring in the D level around this. We need to put some training in place or some new processes or some new people in place. Our software actually does that analysis over a period of time so we can tell you whether it got better or worse. As you made a decision today, 30 days from now, it can see if that contextual sentiment got better or worse as you put those changes in place. Andi Simon: George, let me ask you to clarify just for my sake. Way back in Algebra 101 many, many too many years ago, the professor said, Out of context, data does not exist. And what I hear you saying is that we've been able to take through the technology that artificial intelligence, machine learning, all of the communication being done, and contextualize it. So we understand its meaning, and can give you insights into the conversations taking place around diversity, equity and inclusion, using that example. Am I correct to what I just said? And that is powerful, because data by itself has no meaning. So now the question is, an individual isn't contextualizing it. Artificial intelligence is putting it into context. And you're comfortable that it's doing it in a very accurate and insightful fashion. George Swisher: How fascinating. And this came back to your healthcare example, which is the trust of the data coming in. And so from today's state, the biggest advance that we've seen is the ability for natural language processing to start to truly contextualize data. Whether it's images, whether it's audio, whether it's text...doesn't matter. And that's what we are leaning into. Now, that is only as smart as the sources of data it's analyzing, where it's going in the future to continually build trust by adding more data. For example, within our software, connecting to communications is one kind of viewpoint. But if we then connect to task management software, we connect to Glassdoor reviews. We connect to company social media channels. We connect to performance reviews. So at every one of those data points, the great thing about the technology now is, it kind of works like our brain, where it can cross-reference multiple data points to come to the conclusion of what that sentiment score is. So it's almost validating what it believes. It thinks from the Slack message against what it read in a task inside of a task software and what it saw inside of the performance review. That to me is where the trust factor will just continually get better for humans under the realization that technology can process information and contextualize it faster and better than we can at some point because it can process so much information that we can't. Andi Simon: I sometimes get emails that I simply don't understand what they mean. And unless you understand that, meaning is not simply in the words or the sentence, but the underlying implications, meaning the feeling that's there. And so what you're telling me is that by pulling together all of these data points, we can in fact, contextualize the conversations going on and understand them. That is, maybe I will say, very true, very powerful, and weird. I mean, they're sort of like, I can't figure out what you just emailed me, I better call and find out what you meant. And I can't tell if you were angry, or happy or sad or frustrated. In the five words are the sentences that you put together, but the AI can do it better than I can. Now that is one powerful system. George Swisher: That's where the future state is. It will be able to contextualize it better than we most likely can. We're not there yet but it's getting there and it's advancing quickly. Part of what we do to train, if it's accurate or not, is to validate the response from a human. So in that same example of empowering women in leadership in an organization, let's say that it scrubbed all of the Slack or MSTN channels you have and it makes it a C. Well, we can actually open it up to let you know that leaders in the organization agree or disagree with that and score it with a B and it will train the model to get smarter the next time it tries to analyze another Slack message. And so you have this validation. That is where we will start to build trust as human beings without knowing it through the validating AI driven technologies. The biggest example of this is, most people have used some kind of support bot before. The support bots says, Did we answer your question? You say, No, you didn't. And here's what you didn't do. It is actually training the model to do an excellent contextualization that takes into account what you said. Andi Simon: I'm sitting here smiling. We're just about out of time, but I'm sorry, it's hard enough for humans to communicate well. Now we're adding something that might help us do a far better job of communicating well because we'll better understand. We all know the situation where I say one thing to you, and then I go and type something to someone else. The complexities of human beings in an AI world, and it is truly going to be a wonderful future. I was going to ask you what you see coming, but I have a hunch, I already know what's coming. In a sentence or two, what's your future prediction?  George Swisher: I feel like the future isn't that we're going to be replaced by robots or technology, I think that we will become almost like superheroes. We're going to be able to attach technology to us that will make us incredibly smart or powerful. And I think that's where this is going to meet. And there are some people who are trying to physically do that. You know, Elon Musk has got some interesting things going on. Whether we morally believe he should be doing it or not, but feeding these contextual data sources and things like this directly into our bodies, and our brains, I think is where it is actually going.  Andi Simon: The coevolution that's happening is making us realize that from the time we became meaning-makers, 50,000 years ago, we have been creating the environments in which we live. We're the only species that's completely global. But there's still one of us and 40,000 species of ants, but somehow we keep changing ourselves, and our minds and bodies are evolving. And this is going to be a really interesting next phase that we're unsure of. But we've always been unsure. And now the trick is, how do we stop for a moment and say what role do I want to play with this? You can't resist, you can get so attached to that shiny object, you won't leave it. But the world is changing. And it would really be cool if you let go and began to lead forward, because I do think we're going to need some real smart people to help us leap forward like yourself.  George Swisher: I think my last point would be, we went through this you mentioned earlier, it's kind of like industrial evolution. Think about if you were here, 150 years ago, when we had industrialization for cars.Imagine how afraid people were that it was turning the horse and buggy into a machine. And we're no different than that, we just evolve with it. I think that's the fear, we all just need to remember that we constantly have been in this state. This is just a different type of state. And we just need to be okay with that. Andi Simon: Well, and I do think once you get okay with it, it's really quite exciting. Then to your point, for 4,000 years, we rode horses, and then came this car. And next thing you knew, they were putting barbed wire and throwing rocks into it, they were terrified of this car. And now we're getting electric vehicles that are autonomous. Who knows where we're going next? So welcome to the world of humans. George, thanks so much for being here. I'm not going to ask you three things for people to remember. But I am going to ask you, How they can reach you if they'd like to know more about what you're doing. Because I think that the whole conversation today is about all the things that we don't want them to forget. And I do think this is a time where the technology, the person, and the way we live is all through great transformation. So you've got to pay attention and lead on. How can they reach you? George Swisher: I think the best way is to reach me at George Swisher on LinkedIn, or George@changeforce.ai. Those are the two best ways to get to me and I'm happy to continue this conversation with anyone. I think my effort is to help share what we've learned, not to sell software. So whatever we can do to help. Nabil and I both always have that same kind of educational angle. Andi Simon: You are a perfect guest on our podcast because our job is to get off the brink and help people soar by helping them see, feel and think in new ways. And to be honest with you, I don't think this is an incrementalist time. This is a transformational time. It's not doing a little better. And what we used to have, it's a battle, a whole new way of doing things. And I am excited to share your thoughts and to help people realize that they don't have to just get stuck. People keep asking when they're going to go back to what was. And I tell them, They're just not coming back. But neither are we sure what's coming next. So enjoy the journey. It's a great time to be alive and enjoying a whole new way of seeing things. Thanks again. For all of my listeners, thanks for coming to On the Brink. My job is to help you get off the brink to help you see, feel and think in new ways. You can read my books: On the Brink: A Fresh Lens to Take Your Business to New Heights on Amazon as well as Rethink: Smashing The Myths of Women in Business. To George's point, our job is to help us smash those myths that are holding people back, women in particular, and open up the door because we are transforming the way our society both embraces women or not, and then begins to realize that the world is changing. So let's all get behind it and move forward. You can reach me at info@Andisimon.com. And I love your emails. We're in the top 5% of global podcasts. Thank you. Thank you for coming. Refer more people to us like George. They are great and they bring us great joy. Thanks, George for being here today.

In this episode, we talk about trusting God's timing for your life! We often build artificial timelines for ourselves (get married by XX age, get promoted by XX age, buy a house at XX age…). These timelines can leave us feeling empty and lost when we don't meet them. These are ways I've learned to *try better* at trusting God's timing for my life MORE than my own, along with some of your personal stories as well. Sponsors Mentioned- EveryPlate (use code MICHELLEREED179)- https://bit.ly/2SPWyNE Find Michelle Reed below- Instagram: @michellereed https://bit.ly/3EU92aE YouTube: @michellereed https://bit.ly/39D4IxN

No programa de hoje vamos falar sobre tecnologias que ajudam na preservação animal. Nosso convidado é Gilberto Nogueira Penido Júnior, chefe de divisão técnica de zoológico e manejo de fauna em vida livre do município de Guarulhos.

Childbirth is something that more than 80% of women go through in their lifetime. But could that be about to change? Sci-Fi author Helen Sedgwick thinks we're just a generation away from external, artificial wombs being used for childbirth. But what does this mean for the concept of motherhood and a woman's place in society? Anita is joined by Helen and designer of an artificial womb Lisa Mandemaker. Exam season is upon us - Highers have begun in Scotland and A-levels and GCSEs start on the 16th May and finish on the 28th June, but maybe your kids have end of year exams coming up too. As a parent what is the best way to support your child? Especially if they have important exams looming but are doing everything they can to pretend that they don't? Or perhaps you have the opposite problem and your child is paralysed with anxiety. How do you engage the teenage brain and support your child with their revision? Anita is joined by Dr Jane Gilmour, a Consultant Clinical Psychologist at Great Ormond Street Hospital. What does your grandmother mean to you? The South African musician Toshi has released a new song – Khokhoba – which means ‘getting old' in her native language of Xhosa. The song is dedicated to her grandmother and we hear about the spiritual and societal role that elderly women and grandmothers play in the Xhosa culture. Sex Parties have gone from being fringe underground raves to large, well-established sell-out club nights, in the last few years! Why are we seeing a resurgence the sex party? We hear from Dr Kate Lister, Sex Historian and Author of A Curious History of Sex & Miss Gold, who runs One Night Parties, a sex party in London. They discuss how Covid-19 has changed the way we approach sex, the female gaze and hedonism through history

Sweet, Krokus, MDC, Dokken, The Vandals and DRI plus Fake news and Jeff Bezos hired me to clean the robots.

Aruna Viswanathan '01 joins host David Droogleever to discuss her pivot from engineering to tech investing and entrepreneurship, provide essential tips for beginner investors and talk about AlphaX Decision Sciences, the energy AI software company she co-founded. A transcript of this episode is available here: http://tiny.cc/ohyks2e13

Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring homeowners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, and voters in liberal democracies? Authored by experts in fields ranging from computer science and law to philosophy and cognitive science, A Citizen's Guide to Artificial Intelligence (MIT Press, 2022) offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues such as transparency, bias, liability, privacy, and regulation. Both business and government have integrated algorithmic decision support systems into their daily operations, and the book explores the implications for our lives as citizens. For example, do we take it on faith that a machine knows best in approving a patient's health insurance claim or a defendant's request for bail? What is the potential for manipulation by targeted political ads? How can the processes behind these technically sophisticated tools ever be transparent? The book discusses such issues as statistical definitions of fairness, legal and moral responsibility, the role of humans in machine learning decision systems, “nudging” algorithms and anonymized data, the effect of automation on the workplace, and AI as both regulatory tool and target. Dr John Zerilli is a philosopher with particular interests in cognitive science, artificial intelligence, and the law. He is currently a Leverhulme Fellow at the University of Oxford, a Research Associate in the Oxford Institute for Ethics in AI, and an Associate Fellow in the Centre for the Future of Intelligence at the University of Cambridge. Frances Sacks is a journalist and graduate of Wesleyan University where she studied in the Science and Society Program. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring homeowners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, and voters in liberal democracies? Authored by experts in fields ranging from computer science and law to philosophy and cognitive science, A Citizen's Guide to Artificial Intelligence (MIT Press, 2022) offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues such as transparency, bias, liability, privacy, and regulation. Both business and government have integrated algorithmic decision support systems into their daily operations, and the book explores the implications for our lives as citizens. For example, do we take it on faith that a machine knows best in approving a patient's health insurance claim or a defendant's request for bail? What is the potential for manipulation by targeted political ads? How can the processes behind these technically sophisticated tools ever be transparent? The book discusses such issues as statistical definitions of fairness, legal and moral responsibility, the role of humans in machine learning decision systems, “nudging” algorithms and anonymized data, the effect of automation on the workplace, and AI as both regulatory tool and target. Dr John Zerilli is a philosopher with particular interests in cognitive science, artificial intelligence, and the law. He is currently a Leverhulme Fellow at the University of Oxford, a Research Associate in the Oxford Institute for Ethics in AI, and an Associate Fellow in the Centre for the Future of Intelligence at the University of Cambridge. Frances Sacks is a journalist and graduate of Wesleyan University where she studied in the Science and Society Program. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/political-science

“Hide and Seek” On a stormy night in France, storylines converge as Jean-Luc relives the events leading up to his mother's death and faces what really happened. Seven and Raffi also face death as the Borg Queen takes the La Sirena, but are spared as the power of Agnes overtakes that of the Queen and leads to a new, more compassionate future for the Collective. Soong is also in on the action as Brent Spiner once again leads a group of Borg, and Elnor finds another chance for some screen time despite being dead. In this episode of The Artificial Tango, hosts C Bryan Jones and Matthew Rushing discuss “Hide and Seek,” the penultimate episode of Star Trek: Picard Season 2. We talk about the revelation of what really happened to Yvette Picard, what the merging of Jurati and the Queen means for the future of the Borg, how the story of Rios and Teresa may play out, and Elnor's latest encounter with Raffi. We also speculate on the roles Soong and Q may play in the finale and what is meant by two Renées. And, through it all, we discuss how this dark episode brings a glimmer of hope. Hosts C Bryan Jones and Matthew Rushing Production C Bryan Jones (Editor and Producer) Matthew Rushing (Executive Producer) Cornelia Reutner (Associate Producer)

Rodrigo Mourad e a Inteligência Artificial, IOT e dados na gestão eficiente de frotas com a Cobli. O Rodrigo é engenheiro de formação. Tem passagem como executivo em grandes empresas como Morgan Stanley, Procter & Gamble e Bain & Co.Logo viu no empreendedorismo seu futuro e fundou a Cobli, tendo como missão implementar tecnologia na logística do Brasil, ganhando prêmios de cultura e inovação de instituições de renome como Harvard e Linkedin.Se você estiver ouvindo esse episódio pelo Spotify não esqueça de clicar no botão “seguir”, se você estiver ouvindo pelo Apple Podcasts deixe 5 estrelas e comentário que eu leio todos. Me adiciona também no

In this episode of the Mass Construction Show we do a video podcast so if you're a Spotify listener you'll see something new! We cover code topics and use on screen images and text to increase you learning. Let me know what you think? Today's Show is brought to you by Central, commercial carpenters and supporters of our conversations. Enjoy the show! Follow the Mass Construction Show here: Linkedin Instagram Twitter Facebook TikTok --- Send in a voice message: https://anchor.fm/joekelly/message Support this podcast: https://anchor.fm/joekelly/support

In this episode of the Mass Construction Show we do a video podcast so if you're a Spotify listener you'll see something new! We cover code topics and use on screen images and text to increase you learning. Let me know what you think? Today's Show is brought to you by Central, commercial carpenters and supporters of our conversations. Enjoy the show! Follow the Mass Construction Show here: Linkedin Instagram Twitter Facebook TikTok --- Send in a voice message: https://anchor.fm/joekelly/message Support this podcast: https://anchor.fm/joekelly/support

In 2019, Eric Steinberger acted upon the frustrations he encountered when searching for digestible, entry-point resources on climate change and its solutions. Together with Isabel Key, he founded ClimateScience--a platform that took its first steps on Instagram. A couple of months after launch, the ClimateScience page went from a few hundred followers to over 40,000, and from there, began expanding exponentially; reaching audiences of over 1 million from diverse demographics and moving from a team comprised of a handful of people to one having over 500 staff and volunteers.In this episode, Eric talks about his two-year journey as CEO of ClimateScience. Eric also shares about his unconventional background, early discovery of online learning, and the dedicated team that has accelerated the platform's mission and vision to provide universally accessible climate education for all.Recommended ReadingAll you need to know about ClimateScience and its productsTEDx Talk: Progress on Solving Climate Change | Eric SteinbergerHow to start and scale a non-profit: Interview with ClimateScience co-founder and CEO, Eric SteinbergerEarthday.org and ClimateScience announce partnership for the ClimateScience Olympiad 2022Guest BioEric Steinberger is currently the CEO and co-founder of ClimateScience. Before leading ClimateScience full time, he worked at Facebook AI as a deep reinforcement learning researcher, at MIT as an AI researcher for sustainable development in agriculture, and at Technische Universität Wien as a student researcher in robotics. He has published two academic papers on Artificial intelligence.Eric attended the University of Cambridge for a year to study Computer Science but stepped away from the degree to focus on ClimateScience and acting on his passions for Artificial Intelligence, start-ups, and sustainable development.Learn more about ClimateScienceConnect with Eric on LinkedIn and TwitterSubscribe to our newsletter

When Eugenia Kuyda created the A.I. Chatbot program Replika, she just wanted to give people a nice robot friend to confide in. But of course, so many users wanted to feel a different kind of algo-rhythm in their robot romances. Now people all over are putting 1's in their 0's and may be changing the future of dating, sex, and human connection! See omnystudio.com/listener for privacy information.

This episode's Community Champion Sponsor is Catalyst. To virtually tour Catalyst and claim your space on campus, or host an upcoming event: https://www.catalysthealthtech.com/ (CLICK HERE) --- With a desire for making a difference at an exponential scale, our next guest is passionately bringing empathy, transparency, and intelligence to every patient touchpoint outside the hospital.  Dr. Adam Silverman, Chief Medical Officer at Syllable, joins us to discuss how he and his team are helping healthcare providers remove communication barriers between patients and the care they need through conversational AI.  By alleviating accessibility burdens on patients, Dr. Silverman shares why Syllable is now the leading healthcare call center solution for a frictionless end-to-end experience. Join us to discover how Dr. Silverman and the Syllable team are helping providers communicate with patients using Artificial intelligence. Let's go! Episode Highlights: Why Dr. Silverman's chose to go from practicing physician executive to digital healthcare startup. Dr. Silverman's feelings and insights during his career transition. How Syllable uses conversational AI to efficiently tackle access issues for patients. What end user feedback has been like for Syllable's technology. Syllable's long-term mission to care for patients throughout their healthcare journey.    About Our Guest:  Adam is a passionate healthcare innovator with 30 years of experience as a physician and executive. He has a diverse work history that includes private practice, academic medicine, and physician leadership in both hospital and ambulatory settings.  He is a board-certified General Internist who relocated to the west coast in 2019 to serve as the inaugural Chief Medical Officer of Syllable.ai. The Sunnyvale-based conversational Ai healthcare technology company focuses on improving the patient experience and reducing health care costs by promoting self-service and automation.  Adam is the host of Syllable's podcast, “Can Silicon Valley Save Healthcare?”, which can be found on the Syllable YouTube channel. He has deep accountable and value-based care experience and has had senior leadership roles in large health systems. He co-directed the Connecticut Institute for Primary Care Innovation and has presented nationally on the concept of the primary care office of the future and population health. Adam has dedicated this portion of his professional journey to helping create a healthcare system that will have the capacity to care for his mother without his intervention. Adam received his BA in Geography at Middlebury College, his MD at the Pennsylvania State University School of Medicine, and completed his residency at the Northwestern University School of Medicine.  Links Supporting This Episode: Syllable website: https://syllable.ai/ (CLICK HERE) Dr. Adam Silverman LinkedIn page: https://www.linkedin.com/in/adam-silverman-md-facp/ (CLICK HERE) Syllable Twitter page: https://twitter.com/syllableAI (CLICK HERE) Clubhouse handle: @mikebiselli Mike Biselli LinkedIn page: https://www.linkedin.com/in/mikebiselli (CLICK HERE) Mike Biselli Twitter page: https://twitter.com/mikebiselli (CLICK HERE) Visit our website: https://www.passionatepioneers.com/ (CLICK HERE) Subscribe to newsletter: https://forms.gle/PLdcj7ujAGEtunsj6 (CLICK HERE) Guest nomination form: https://docs.google.com/forms/d/e/1FAIpQLScqk_H_a79gCRsBLynkGp7JbdtFRWynTvPVV9ntOdEpExjQIQ/viewform (CLICK HERE)

Ghost kitchens, or virtual kitchens "offsite," are one of the latest fastest-growing trends as more restaurants and eateries invest more heavily in automation in the face of labor shortage. Automation such as point of sale and order delivery apps, as well as robots, are eliminating thousands of jobs in the economy as employers seek cost-effective productivity solutions. More sobering statistics. In England, 1.5 million jobs are in danger of being automated. 25% of mundane and repetitive jobs are at risk of automation. 375 million jobs are expected to vanish by 2030. Artificial intelligence will displace 40% of jobs worldwide in the next 15 years. Artificial intelligence will generate 2.3 million jobs starting in 2020. Source: Lefronic.com About GRUBBRR Headquartered in Boca Raton, Florida, GRUBBRR says it is a leading global commerce automation company at the forefront of self-ordering technologies. GRUBBRR's award-winning eco-system, including kiosks, mobile ordering, contactless smart lockers and more, are proven to help businesses maximize revenue, decrease labor costs, and increase operational efficiency while improving the consumer experience. GRUBBRR's solutions are adaptable and beneficial to a multitude of businesses, and power both enterprise-level and small and medium businesses across verticals such as quick-service restaurants, fast casual restaurants, stadiums, movie theatres, casinos, micro-markets, retail, and more. --- Support this podcast: https://anchor.fm/john-aidan-byrne0/support

Guest: Daily Maverick Environmental Journalist, Tony Carnie, to discuss the issues that surround 'artificial breaching' under “emergency” conditions See omnystudio.com/listener for privacy information.

What if robots could build and optimize themselves -- with little to no help from humans? Computer scientist Emma Hart is working on a new technology that could make "artificial evolution" possible. She explains how the three ingredients of biological evolution can be replicated digitally to build robots that can self-assemble and adapt to any environment -- from the rocky terrain of other planets to the darkest depths of the ocean -- potentially ushering in a new generation of exploration.

In today's episode, CISOs and hackers, Chris Roberts and Monica Verma dive deep into the world of ransomware and talk about exploitations through ransomware and it's impact on businesses, the advancement in technology & how it is shaping the ransomware landscape, the ethics landscape aka to pay or not to pay, what does it take to build a better defense against ransomware attacks, and more. Support the show (https://www.buymeacoffee.com/wetalkcyber)

Preface to this early book by Douglas Harding.

Transtornos mentais afetam milhões de pessoas. Antes, eles eram relacionados às possessões demoníacas, hoje a dúvida é se os transtornos são essencialmente biológicos ou se pertencem a uma classe própria. Diferente das doenças, a identificação dos transtornos mentais é muito subjetiva. Ainda não existe nenhum exame de sangue que identifique ansiedade ou um raio-x que aponte o risco de uma criança desenvolver transtorno obsessivo compulsivo. Mas, a ciência está aí, buscando todos os dias meios de avançar em direção a objetivos que há um século pareciam impossíveis. Transtornos mentais são estudados agora com o uso de novas ferramentas de neuroimagem e genética, e avanços significativos estão sendo feitos pela Inteligência Artificial. Com isso, um mundo de novas possibilidades se abre, e perspectivas de diagnósticos precoce e tratamentos mais assertivos começam a despontar como possibilidade reais em um futuro não tão distante. Estamos à beira de uma revolução na maneira como pensamos o cérebro e o comportamento.Apresentado por Igor Alcantara e com participação de Ale Galdino,  este episódio vai apresentar alguns dos diferentes tipos de transtornos mentais, fatores de risco, métodos de detecção, aplicações da Inteligência Artificial e questões éticas. Não perca tempo e escute agora mesmo!

Farra Trompeter, co-director, chats with Allison Fine and Beth Kanter, co-authors of The Smart Nonprofit, Staying Human-Centered in an Automated World about how we can reduce potential harms such as embedded bias and surveillance capitalism, and share some insights into how nonprofits can prevent these harms from taking root.

“Mercy” A childhood encounter with Vulcans can really play with your mind. It might even lead to obsession. Just ask Agent Wells. Convinced that Picard and Guinan are aliens just like those he found in the woods in the early ‘80s, he interrogates the pair about their intentions toward the Europa mission. Meanwhile, Queen Agnes rampages her way through Los Angeles eating batteries and Kore Soong learns the true nature of her existence. Rios serves cake aboard La Sirena and Guinan meets Q a century before their paths were meant to cross and finds that he is dying. But as he slowly disappears into nothingness, he reveals what may be the solution to the puzzle. In this episode of The Artificial Tango, hosts C Bryan Jones and Matthew Rushing discuss “Mercy,” the eighth episode of Star Trek: Picard Season 2. We talk about how the pieces of the story are finally converging, the spiritual implication of Q's assertion that all humans are stuck in the past, what assimilating mercy might mean for a new incarnation of the Borg, the endgame of the Soong saga, Vulcans visiting Earth and, of course, eating batteries. Hosts C Bryan Jones and Matthew Rushing Production C Bryan Jones (Editor and Producer) Matthew Rushing (Executive Producer) Cornelia Reutner (Associate Producer)

Como a inteligência artificial pode mudar a cardiologia? by Cardiopapers

This week on the podcast we are doing something a little bit different. Instead of having a guest, we are going to discuss a trending topic that affects both causes and brands. Artificial intelligence is not just a buzzword…whether you're a big business or a nonprofit, you're possibly using it whether you know it or not, and if you're not, it's something to get serious about and it's really helping to drive organizations forward. This topic gets thrown around constantly and sometimes it can feel intimidating because of the lack of understanding of the technology and how it can really be applied. This week we talk about what AI really is and how it can be used in any business or nonprofit. Tune in to hear: - What is AI? - How are we seeing it used? - How will AI evolve in the future? By the end of the show, you'll have a better understanding of what AI is in a practical context and how you might think of applying it to your business or organization. If the show has been helpful to you, it would mean a lot to us if you would submit a rating.

The next thirty years will bring advancements we can't imagine. From augmented reality and the metaverse to enhancements in technology and automation, the sky isn't the limit anymore.   Whether we like it or not, the world continues to change. So how can you prepare yourself to stay ahead in this ever-changing digital world?   Ben Lytle is a successful CEO, serial entrepreneur and author. He has launched five companies, including two currently on the New York Stock Exchange. His best-known company, Anthem, is number twenty-three on the Fortune 500, with a market cap of over $100B.   On the latest episode of The Enlightened Executive podcast, Ben walks us through the importance of advancing your potential and accelerating your wisdom in preparation for the Fourth Industrial Revolution—the evolution of technology through digitization, artificial intelligence, and the metaverse.

Can robots think? Is artificial intelligence possible? Dr. Eric Olson argues that AI theorists focus all of their attention on artificial thought and not enough on what an artificial thinker would be like. In this episode of the Parker's Pensées Podcast, we cover Dr. Olson's chapter "The Metaphysics of Artificial Intelligence" in Consciousness and the Ontology of Properties. Dr. Olson brings out some of the problems which arise when trying to nail down just what exactly an artificial thinker would be. If you like this podcast, then support it on Patreon for $1, $3, or $5 a month. Any amount helps, and for $5 you get a Parker's Pensées sticker and instant access to all the episode as I record them instead of waiting for their release date. Check it out here: Patreon: https://www.patreon.com/parkers_pensees If you want to give a one-time gift, you can give at my Paypal: https://paypal.me/ParkersPensees?locale.x=en_US Check out my merchandise at my Teespring store: https://teespring.com/stores/parkers-penses-merch Check out my blog posts: https://parkersettecase.com/ Check out my Parker's Pensées YouTube Channel: https://www.youtube.com/channel/UCYbTRurpFP5q4TpDD_P2JDA Check out my other YouTube channel on my frogs and turtles: https://www.youtube.com/c/ParkerSettecase Check me out on Twitter: https://twitter.com/trendsettercase Instagram: https://www.instagram.com/parkers_pensees/ Time Is Running by MusicLFiles Link: https://filmmusic.io/song/6203-time-is-running License: http://creativecommons.org/licenses/by/4.0/ --- Support this podcast: https://anchor.fm/parkers-pensees/support

Our guest today is Peak's Chief Commercial Officer, Zoe Hillenmeyer.  Zoe has a decade of experience in the Artificial and Decision intelligence field, and has been part of over 20 product launches in the category during her time with AI pioneers including Peak, AWS and IBM. Zoe holds an MBA in Strategy from Washington University […] The post Ep. 209 – Peak Chief Commercial Officer, Zoe Hillenmeyer appeared first on COO Alliance.

Artificial light at night, aka light pollution, affects almost everyone on Earth. And not just people – trees, plants, animals, insects, and marine life are affected by our propensity to light up everything we can. Learn what you – YOU! – can do to help. See omnystudio.com/listener for privacy information.