Podcasts about applied artificial intelligence

Thursday marks the Twin's home opener at Target Field. This season, fans will have an option to get into the stadium hands-free, with facial recognition technology. The new technology is called “Go-Ahead” entry. The Twins are one of nine MLB teams using the technology. Manjeet Rege, the director of the Center for Applied Artificial Intelligence at the University of St. Thomas, joined Minnesota Now to explain how the new technology works.

Mike Switzer interviews Joe Mari Maja, a senior researcher and director at the Center of Applied Artificial Intelligence for Sustainable Agriculture at South Carolina State University.

Artificial intelligence has been a hot topic in the business world over the last year. Some of it has been really interesting, and some has been just hype. But in the field of sustainable agriculture, where we already work with massive volumes of data, there are some A.I. applications that could provide real value to growers. So in this episode, we meet Dr. Nathan Boyd, the Associate Director of the University of Florida Gulf Coast Research and Education Center. He's helping develop Florida's state-funded Center for Applied Artificial Intelligence, and with a background in agriculture and weed control, knows that new technology has to create a clear value for growers if it's going to succeed. We'll discuss how A.I. is different from other new technologies in agriculture, how it could be used to create value, and why it could be a game-changer for sustainability.

This months episode covers a hot topic in the world of management as Prof. David Spicer hosts Dr Kamran Mahroof and Mark Dolby to discuss Responsible AI. Both Kamran and Mark bring their expertise to the table to explore AI with focus on what it means for businesses. Throughout the episode they explore the uses of AI and how it can be used for creativity along with the risks that come with this. Mark Dolby is a Director and Producer at Story Film and Photography where he leads on photography. Story provide content for businesses including photography, film, animation and print with the aim of bringing clients stories to life. Mark and Story have been involved with the Responsible Management podcast from its launch as they edit and produce the podcast for release. Dr Kamran Mahroof is a returning contributor on the Responsible Management podcast having been a guest on episode 2 focusing on Responsible Supply Chains. Kamran is an Associate Professor here at the University of Bradford and Programme Leader for the MSc in Applied Artificial Intelligence and Data Analytics. He holds research interests in supply chain management, circular economy, AI and the societal impact of emerging technologies.

ChatGPT certainly has a great public relations department. It is portrayed as the answer to every conceivable problem for the beleaguered federal technology professional. Today, we sit down with a group of experts in what may be termed “Applied Artificial Intelligence.” We look at several aspects, including preparing your data for AI, the best applications for AI, and putting up guardrails to use AI safely. Mangala Kuppa from the Department of Labor indicates that every use case is unique. If one data set can yield valid results does not mean the results will be the same with another data set. In her experience, every use case will require you to do a bit more to ensure satisfactory results. Kurt Steege from Thundercat Technology catches the attention of the listener when he lists malicious code that has been enabled by AI. He refers to Dark Bard, Poison GPT, and Deep Fakes as examples of how malicious actors are using AI to attack. It is no wonder that the best tool to counter AI attacks is . . .  AI itself. For example, an AI attack enables such speed that a human may not be able to stop it. Julian Zottl indicates that we may not have a choice to whether or not to use AI in defense. When the interview winds up, the participants agree that AI should be framed within a broader context of the technology system itself. Reliable & trusted results from AI are not just technical solutions. They include governance, alignment with agency goals, and accountability.

This edWeb podcast is  sponsored by MindSpark Learning.The edLeader Panel recording can be accessed here. Educators, get ready to reimagine the future of education with Applied AI! Since 2017, MindSpark has been leading the way in AI education with extraordinary learning experiences that shape the future. Our AI professional learning experiences are inspired by an innovative set of core values: be adaptive, be human centric, and be collaborative.This  edWeb podcast is a gateway to the world of Applied AI, where theories turn into practical use. Say goodbye to the complexities of AI and get ready for hands-on, relevant concepts that you can use in the classroom and beyond. Applied AI in education isn't just about solving problems, it's also about creating new opportunities and improving lives. Our goal is to help make AI your ultimate companion and explore its impact with curiosity and openness. Watch as we navigate, explore, and learn together, harnessing the potential of Applied AI! Learning objectives include:Understand the fundamentals of Applied AI and the applications of Generative AILearn hands-on techniques to apply AI in real-world educational scenariosAdvance skills in AI prompt engineering for educational applicationsLeverage AI for productivity and task managementThis  edWeb podcast is of interest to K-12 teachers, education technology leaders, and school and district leaders. MindSpark Learning We create and facilitate transformative professional experiences with communities and industries.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Learn more about viewing live edWeb presentations and on-demand recordings, earning CE certificates, and using accessibility features.

In der Folge #17 von KI101 bekommt TIKI Besuch aus dem Silicon Valley. Zu Gast ist von Tomer Shiran, der Gründer und CPO von Dremio, ein Data Lakehouse Unternehmen. Michael und Reinis stellen interessante Fragen und wir erfahren in einem spannenden Gespräch mehr von Tomers Gedanken rund um Technologien. Außerdem bekommen wir einen Einblick in die Strategie von Dremio als innovatives Technologie-Unternehmen aus dem Silicon Valley. Viel Spaß beim Anhören dieser visionären Folge. Melde Dich gerne bei uns, wenn Du mehr erfahren möchtest. Dieser Podcast wird produziert von FM Podmedia - www.fmpodmedia.de ___________ In episode #17 of KI101 (AI101), TIKI (Technological Institute for Applied Artificial Intelligence) gets a visit from Silicon Valley. Tomer Shiran, the founder and CPO of Dremio, a data lakehouse company, is our guest. Michael and Reinis ask interesting questions and we learn more of Tomer's thoughts around technologies. We also get insights into Dremio's strategy as an innovative Silicon Valley technology company. Enjoy listening to this visionary episode. Feel free to contact us. This podcast is produced by FM Podmedia - www.fmpodmedia.de

Join us for an insightful session at GSD Presents! Learn about cutting-edge AI applications with Ron Bodkin, co-founder & CEO of ChainML. Discover how their open-source platform empowers businesses to rapidly develop customized generative AI applications using collaborative 'agents'. Don't miss out on this chance to gain valuable AI insights from a seasoned expert! Guest: Ron Bodkin, co-founder & CEO, ChainML https://www.linkedin.com/in/ronbodkin/ Ron Bodkin is the co-founder and CEO of ChainML, which provides an open-source platform for rapidly developing customized generative AI applications using collaborating ‘agents'. The platform enables the robust deployment and monitoring of generative AI models ensuring they can be operated with confidence and accuracy. He has over 15 years of AI experience, specializing in data science, analytics, machine learning, and large scale data processing. Formerly, he worked in Google's Cloud CTO office, with a focus on Applied Artificial Intelligence leading efforts in industry applications and responsible AI. He also was the VP and GM of AI at Teradata, following Teradata's acquisition of his company, Think Big Analytics, and led AI Engineering & CIO at Vector Institute.Transcript

Advances in data, Artificial Intelligence (AI) and analytics are completely changing the way we think about and do business. In our first podcast of 2023, which was also filmed in our new podcast suite, Professor Richard Allmendinger from AMBS and David Walters from North-West based fund manager River Capital joined Chair Jim Pendrill from AMBS to discuss the issue. Richard, who is a Professor of Applied Artificial Intelligence, and also a Fellow of the Alan Turing Institute, recently joined the advisory board of the North's first dedicated AI fund run by River Capital. The fund focuses specifically on early-stage, high growth AI, machine learning and data science investment opportunities across the North. David Walters works in the equity team at River Capital as a technology investment director, supporting technology businesses across the region. He has been a CTO at multiple PE-backed companies and has also run AI practices.

In the new world of AI, AltaML aims to be a valuable partner. They help their clients by developing AI products that optimize their business. To do this, they have developed a mindset that helps them assess the opportunity and develop the right AI strategy. Jil also discusses the importance of keeping biases out of AI.Here are some things to read or to look into for those looking to dive deeper into the digital tools and realm.AltaML Ebook - Why Adopt AI Now and Not Later?  - Learn to overcome the key hurdles that hold  companies back from AI Adoption (otherwise known as AI being used)Applied Artificial IntelligenceAuthor: Mariya YaoWhy you should read it: Applied Artificial Intelligence offers practical advice on AI adoption specifically designed for business leaders, including how to prioritize your AI projects at your company.Key takeaway: You do not need to be a machine learning engineer to apply AI to your business, as long as you have the right framework and ask the right questionsWhat to Think About Machines That ThinkAuthor: James MartinWhy you should read it: James Martin is a software engineer and an expert in artificial intelligence, and in What to Think About Machines That Think, he offers an overview of the field. You'll learn about the history of AI and how it will affect business, society, and the economy.Key takeaway: What to Think About Machines That Think explains how you can use AI to solve big global problems, from climate change to cancer.The Verge is an excellent blog for those who want to learn about mainstream tech and its potential impact on the world. This blog covers a wide range of consumer tech topics, along with cybersecurity, artificial intelligence (AI), and other technologies that are transforming the way we connect with one another.

Cory knows Alberta is home to some of the best researchers in the world. This is especially true when it comes to health and data, both of which are fundamental to the unique opportunity Alberta has to promote our research in a global market. We have the potential to be the biggest player in the AI industry, but we need to step up our commercialization efforts. The tech industry could be a multi-billion dollar industry here in Alberta and completely reshape the way we - and others - think about our province.

As the Senior Director for Applied Artificial Intelligence at RelationalAI and an advisor on multiple boards, Michelle Yi specializes in machine learning and cloud computing and has 15 years of experience in technology consulting. She is passionate about diversity, STEM education/careers for our minority communities, and is an avid volunteer with Girls Who Code. She enjoys building teams dedicated to leveraging cutting-edge technologies and techniques to tackle some of the most difficult business and societal challenges. Are you curious how machine learning is impacting healthcare? In this episode, Michelle discusses the main challenges she see in machine learning and how she is hoping to solve them. She shares what role robotics pay in the world of healthcare. If you are looking to get into data science for healthcare, Michelle talks about her key advice for you! Connect with her on LinkedIn: https://www.linkedin.com/in/michelleyulleyi/ Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://anchor.fm/women-in-data/support

La inteligencia artificial es una de las herramientas más poderosas en el arsenal de los gigantes de nuestra era informática, pero, ¿cómo funciona realmente? Detrás del espejismo de máquinas que piensan y sienten como humanos, nos encontramos con mecanismos que suelen no ser tan perfectos como quisiéramos pensar, y con preguntas acerca de su verdadero impacto en nuestras vidas. Nos cuenta Héctor Guillermo Cobo Reyes T3E14 *** Palabras clave: Podcast, Inteligencia Artificial, Aprendizaje Automático, Privacidad, Programación Facebook: http://facebook.com/colectivomotus Twitter: http://twitter.com/colectivomotus Instagram: https://www.instagram.com/colectivomotus Página oficial: https://motuslab.xyz/ *** Contacto: colectivomotus@gmail.com *** Referencias [1] Jin-A C, Kiho L (2020) Identifying machine learning techniques for classification of target advertising, ICT Express, https://doi.org/10.1016/j.icte.2020.04.012 [5] Robert Trappl (2016) Ethical Systems for Self-Driving Cars: An Introduction, Applied Artificial Intelligence, 30:8, 745-747, DOI: 10.1080/08839514.2016.1229737 [6] Hassani, B.K. Societal bias reinforcement through machine learning: a credit scoring perspective. AI Ethics (2020). https://doi.org/10.1007/s43681-020-00026-z [7] Starke, G., De Clercq, E. & Elger, B.S. Towards a pragmatist dealing with algorithmic bias in medical machine learning. Med Health Care and Philos (2021). https://doi.org/10.1007/s11019-021-10008-5 Recomendaciones [2] Qingyang Xu, Wanqiang Zheng, Xiaoxiao Liu & Punan Jing (2020) Deep Learning Technique Based Surveillance Video Analysis for the Store, Applied Artificial Intelligence, 34:14, 1055-1073, DOI: 10.1080/08839514.2020.1784611 [4] Mark Coeckelbergh (2016) Responsibility and the Moral Phenomenology of Using Self-Driving Cars, Applied Artificial Intelligence, 30:8, 748-757, DOI: 10.1080/08839514.2016.1229759 [3] Davenport, T., Guha, A., Grewal, D. et al. How artificial intelligence will change the future of marketing. J. of the Acad. Sci. 48, 24–42 (2020). https://doi.org/10.1007/s11747-019-00696-0 *** El podcast de Colectivo Motus es producido por MotusLab. El guion fue escrito por Héctor Guillermo Cobo Reyes, quién tambén realizo la edición de audio y la versión en video. Agradecimientos por la revisión a Germán Caltzontzin Rabell, Raúl Romero, Valeria Caltzontzin Rabell y Christopher Cedillo.

#autonomousvehicles #selfdrivingcars #futureofmobility Gagandeep Reehal is a 20-year-old engineer, AI researcher, author and technology entrepreneur, presently involved in multiple projects related to Applied Artificial Intelligence, Product Design, and Inter-disciplinary Research particularly in the domain of Cognitive & Human-centered AI, and Autonomous Vehicles/Robotics. Having just been 16 years old when he penned down his first book, he has been writing ever since. He already has three book publications to his credit, with numerous works having appeared in various magazines and journals. He has mentored and judged 65+ developer/hacking events worldwide, spoken at leading conferences, and is currently building his startup 'Minus Zero' working on Self Driving Cars in India. https://minuszero.in/ https://in.linkedin.com/in/gagandeepreehal https://gagandeepreehal.com/ Watch our highest viewed videos: 1-India;s 1st Quantum Computer- https://youtu.be/ldKFbHb8nvQDR R VIJAYARAGHAVAN - PROF & PRINCIPAL INVESTIGATOR AT TIFR 2-Breakthrough in Age Reversal- -https://youtu.be/214jry8z3d4DR HAROLD KATCHER - CTO NUGENICS RESEARCH 3-Head of Artificial Intelligence-JIO - https://youtu.be/q2yR14rkmZQShailesh Kumar 4-STARTUP FROM INDIA AIMING FOR LEVEL 5 AUTONOMY - SANJEEV SHARMA CEO SWAAYATT ROBOTS -https://youtu.be/Wg7SqmIsSew 5-TRANSHUMANISM & THE FUTURE OF MANKIND - NATASHA VITA-MORE: HUMANITY PLUS -https://youtu.be/OUIJawwR4PY 6-MAN BEHIND GOOGLE QUANTUM SUPREMACY - JOHN MARTINIS -https://youtu.be/Y6ZaeNlVRsE 7-1000 KM RANGE ELECTRIC VEHICLES WITH ALUMINUM AIR FUEL BATTERIES - AKSHAY SINGHAL -https://youtu.be/cUp68Zt6yTI 8-Garima Bharadwaj Chief Strategist IoT & AI at Enlite Research -https://youtu.be/efu3zIhRxEY 9-BANKING 4.0 - BRETT KING FUTURIST, BESTSELLING AUTHOR & FOUNDER MOVEN -https://youtu.be/2bxHAai0UG0 10-E-VTOL & HYPERLOOP- FUTURE OF INDIA"S MOBILITY- SATYANARAYANA CHAKRAVARTHY -https://youtu.be/ZiK0EAelFYY 11-NON-INVASIVE BRAIN COMPUTER INTERFACE - KRISHNAN THYAGARAJAN -https://youtu.be/fFsGkyW3xc4 12-SATELLITES THE NEW MULTI-BILLION DOLLAR SPACE RACE - MAHESH MURTHY -https://youtu.be/UarOYOLUMGk Connect & Follow us at: https://in.linkedin.com/in/eddieavil https://in.linkedin.com/company/change-transform-india https://www.facebook.com/changetransformindia/ https://twitter.com/intothechange https://www.instagram.com/changetransformindia/

         In this episode I am delighted to introduce  Tal Brown CEO and Co-founder at Zone7. Tal has a background in computer science and systems engineering and began his career as a big data engineer in the Israel Defense Force. He subsequently became a senior director of product management at Salesforce where he founded the organisation's first AI product team  responsible for data science applications used by millions of sales professionals.        Since 2017 at  Zone 7 he has been developing and and applying proprietary artificial intelligence to assist athletes, coaches and medical teams forecast injury risk and attain peak performance.  More recently the focus  has expanded to include other disciplines outside sport, including healthcare and the military, where machine learning tools could be used to assist in optimising  performance and protecting the wellbeing of the workforce.        In this conversation Tal breaksdown what artificial intelligence actually is and discusses its use to date in  the elite and amateur sporting environment.  We then discuss what this might look like when applied to other elite workers and professional environments with a particular emphasis on healthcare where early adopters are starting to use and apply this technology.     Themes of workforce performance , wellbeing and increasing rates of exhaustion and burnout are revisited through a technical lens.  Ironically I left this conversation feeling that a role for  objectivity might actually be a constructive solution to increasing pressure and demand in the workplace where subjective and intuitive basic needs of workers are often overridden by virtue of environment and system.        We discuss data privacy and application for individuals, teams and organisations.  Tal gives us an articulate account of his vision for the future of this agile and adaptable technology, which is informative not prescriptive,  as a predictive tool to assist athletes and elite workers protecting health, performance and longevity of practice. More about Tal Brown and Zone 7 :ttps://www.linkedin.com/in/talbrown/https://zone7.aihttps://twitter.com/Zone7aihttps://www.linkedin.com/company/zone7ai/Other related links discussed here:https://www.emergencymind.com/bookhttps://www.emergencymind.com/podcast/episode-37Subscribe to the podcast on iTunes here : https://podcasts.apple.com/au/podcast/the-mind-full-medic-podcast/id1513559414Rating and reviews welcome.Disclaimer: The content in this podcast is not intended to constitute or be a substitute for professional medical advice, diagnosis or treatment. Always seek the advice of your doctor or other qualified health care professional. Moreover views expressed here are our own and do not  necessarily reflect those of  our employers or other official organisations.  The  podcast host  declares that there are no conflicts of interest.

The power sector in India is undergoing a significant change creating much excitement. The Government of India has identified the power sector as a key focus to promote sustainable development through the integration and greening of the grid with renewable energy and digital transformation. Key initiatives at leading DISCOMS are now focused on creating value by making energy services reliable, sustainable and affordable for their clients. At BSES Rajdhani Power Limited (BRPL) they are now taking proactive steps forward to gain valuable experiences and some accolades along their digital transformation journey. By implementing and testing a data lake solution BRPL will enable future service insights and innovation for a variety of use cases. In this episode Abhishek Ranjan, Vice President and Head Renewable, DSM & EE and Energy Analytics at BRPL and Avanish Verma, Senior Researcher and Manager of Smart Innovation Norway share their insights on the trends impacting the energy sector in India today and how digital transformation is painting a very colorful future for the sector.Trends in the energy systemBRPL approach to digital transformationKey challenges and opportunities for DISCOMSWhat the changes in the energy system mean for consumersExperiences from the award winning Utilihive Data Lake implementationFuture vision and next steps of BRPL's digital journeyA celebration of color About BRPLBSES Rajdhani Power Limited is the leading premier power distribution company in the city of New Delhi serving more than 2.6 Million customers and catering to a peak load of 3200 MW. The company is a Joint Ventures between Reliance Infrastructure Limited and GoNCT Delhi. About SINSmart Innovation Norway (SIN) performs independent, applied research within the fields of smart energy systems, smart cities and communities and Applied Artificial Intelligence. SIN’s NCE Smart Energy Markets cluster boasts many IT companies including most of Norway’s leading expertise in Big Data Analytics and digital technologies from companies like Greenbird, which are the drivers behind smart energy innovation.Acknowledgements:Song: www.Bensound.comMusic Info: Corporate Ambient - AShamaluevMusic.Music Link: https://www.ashamaluevmusic.com/corporate-music

Sly Gittens will be speaking with Sara Blakely - Marketing and Artificial Intelligence Professional. She will be sharing her experiences and recommendations about getting established in the IT field. Connect with Sara Blakely: Linkedin: https://www.linkedin.com/in/sarablakelyseattle/ Twitter: @seablakely Sarah recommendations: -MIT Sloan Management Review: https://sloanreview.mit.edu/topic/dat... -MIT Technology Review: https://www.technologyreview.com/topi... -Hubspot: https://www.hubspot.com/artificial-in... -Microsoft's Learn & AI School: https://aischool.microsoft.com/en-us/... -LinkedIn Learning: https://www.linkedin.com/learning/sea... -Google AI Education: https://ai.google/education/ -Forbes Tech: https://www.forbes.com/innovation/?sh... -World Economic Forum & the Fourth Industrial Revolution: https://www.weforum.org/agenda/archiv... -Tools and Weapons by Brad Smith & Carol Ann Browne: https://www.goodreads.com/en/book/sho... -Applied Artificial Intelligence by Mariya Yao, Marlene Jia, Adelyn Zhou: https://appliedaibook.com/ -Think Like A Monk by Jay Shetty: https://www.amazon.com/Think-Like-Mon... ✦ SUBSCRIBE so you don't miss more tech tutorials and tech career tips videos:: http://bit.ly/SlyGittensYouTubeChannel ✦ LinkedIn Profile ➜ https://www.linkedin.com/in/slygittens/ ✦ Instagram Profile ➜ https://www.instagram.com/sly_gittens/ --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

Now, we would like to speak about AI specifically in building, such as from construction to the smart home. Interesting to know how AI works in this sector.

You’re taking advantage of the benefits of AI every day in ways you might not even be aware of. When you “talk” to an automated voice on the other end of the phone, when you call a Lyft or an Uber, and when you’re asking Siri or Alexa to play your favorite song while you wash dishes. AI is everywhere, and its uses are expanding rapidly. With the application of any new technology, there’s always a period of time during which kinks that creators didn’t plan for become visible. As new systems gain traction, those unaccounted for faults can become amplified, creating patterns, which in turn can start to erode trust. One example of this when it comes to AI is how racial and gender biases that the technology was actually built to avoid can creep into the decision-making process. Another is how the AI-based algos in social media amplify extreme views and keep us all in our filter bubbles, too often fostering division. To better broadly consider the effects of such systems, it’s perhaps useful to first understand how they work – by building upon their own intelligence, collecting information from our cues and habits. We all collectively create AI in our clicks and swipes, often without considering how the data will be used by bots and algos to make decisions. In order to make this technology work well, and work well for everyone, we need to map out the channels of its proverbial brain. Our guests today are Mohsen Rezayat and Ron Bodkin. Rezayat is our Chief Solutions Architect here at Siemens Digital Industries Software. Bodkin spent the past few years as Technical Director of Applied Artificial Intelligence at Google. Currently, he’s the Vice President of AI Engineering and CIO at Vector Institute and Engineering Lead at the Schwartz Reisman Institute for Technology and Society. In today’s episode, we’re talking about machine learning and artificial intelligence, including the complexity of establishing a system of ethics in AI so that it makes conscientious decisions and better serves our collective human community. And find more information on industrial AI at Siemens here.Some Questions I Ask:What is an example of AI in practice? (5:58)How are some AI models demonstrating bias? (7:59)What is the potential to deliberately misuse digital systems? (10:31)With the loss of public trust in AI, when do you think we’ll be able to regain our trust of this technology? 12:51)What do you think about how tech companies can safeguard us against bias and unfair treatment from algorithms? (19:48)Do you think we’ll achieve the goal of embedding ethics into future models of AI? (21:39)What You’ll Learn in This Episode:The definition of machine learning (2:20)An example of how machine learning works (2:51)How racial bias makes its way into AI algorithms (8:45)The three components of trustworthy AI (12:56)How we can build ethical AI (14:37)Why humility is a good quality (15:10)How AI could help us see the future when it comes to catastrophic events (16:50)Connect with Mohsen Rezayat:LinkedInConnect with Ron Bodkin:LinkedIn See acast.com/privacy for privacy and opt-out information.

For this week's episode, Brandon and Eric wrap up our Getting Started series. Join in their conversation about tips to better learning tools and how to advance your career! Destination Linux Network (https://destinationlinux.network) Sponsor: Bitwarden (https://bitwarden.com/dln) Sudo Show Website (https://sudo.show) Sudo Show Merch! (https://sudo.show/shirt) Contact Us: * DLN Discourse (https://sudo.show/discuss) * Matrix: +sudoshow:matrix.org What have we been working on? * Brandon has a top secret project to be announced in a future episode * Eric has been working on Mastodon (https://joinmastodon.org/) automation like Feed2Toot (https://carlchenet.com/get-your-rss-feeds-to-mastodon-with-the-feed2toot-bot/) Learning Something New * Katacoda (https://www.katacoda.com) * LinkedIn Learning (https://linkedin.com/learning) * The Odin Project (https://www.theodinproject.com) Tutorials and Walkthroughs * Digital Ocean Blog (https://www.digitalocean.com/blog) * Front Page Linux (https://frontpagelinux.com/) * Installing oVirt with Brandon (https://www.youtube.com/watch?v=SWtT4X1sNlU) Reading * Artificial Intelligence 4 Books in 1 (https://amzn.to/3i6hxmx) * Applied Artificial Intelligence (https://amzn.to/2BVcPIS) * Cognitive Computing with IBM Watson (https://amzn.to/30qlix5) * The Open Organization (https://amzn.to/2PlRlrF) Disclaimer: These links are affiliate links. If you purchase through these links not only do you get an awesome product, but you'll help support the Sudo Show financially! Home Labs * Digital Ocean: DLN Sponsor (https://do.co/dln) * Server Monkey: Buy Refurbished Hardware (https://www.servermonkey.com/) Industry Events * Red Hat Summit (https://www.redhat.com/en/summit) * Open Source Summit (https://events.linuxfoundation.org/open-source-summit-north-america/) * Kubecon (https://events.linuxfoundation.org/kubecon-cloudnativecon-europe/) * Ansible Fest (https://www.ansible.com/ansiblefest) Call to Action * Try out some of these learning platforms, like the Odin Project * Keep learning, all the time Send in (https://sudo.show/discuss) your tools and resources!

Machine learning isn't just for the Googles and Facebooks of the world. But how can startups (or even, growth equity investment firms

Our guest today is Ayushman Dash. Ayushman has a Masters in Applied Artificial Intelligence and Linguistics. He formed a metal band during his youth in India, and is currently making waves in the AI space here in North America. Join us for this wide-randing and philosophical (as always) conversation with Ayushman Dash. Instagram: @mysoulisahippie Music on Spotify: Mysoulisahippie GitHub: dashayushman -- Website: www.johnwade.co Dan's music can be found on Spotify -> BANO

We're all tempted by the newest, shiniest technology when looking for a solution to a problem. But often the best results come from proven techniques, so it's wise to find a fast, pragmatic solution to your problem, whatever the technology. How do you know what's the right choice for your business? And how do you select the right opportunities to pursue with AI, so that you're augmenting your customers' experience and ability to get their jobs done?In this episode of the Georgian Impact podcast, you'll hear about this and more as Jon Prial is joined by White House Presidential Innovation Fellow and growth-stage advisor Adam Drake.You'll hear about:How you can identify opportunities to use AI/ML in your businessWhy you should start with proven modeling techniquesGetting valuable products out with customers, rather than stuck in R&DHow to develop an AI BS detectorAdam Drake leads technical business transformations to help growth-stage technology companies continue their rapid acceleration through leadership, technology, and data architecture guidance. He is currently a White House Presidential Innovation Fellow and IEEE Senior Member. Adam's professional background spans a variety of industries including e-commerce, online travel, online marketing, financial services, healthcare and oil and gas.Read his thoughts at adamdrake.com. Jon references these articles during this episode:Novel Results Considered Harmful Artificial Intelligence and The Heilmeier CatechismTo get started with AI in your business, read our Principles of Applied Artificial Intelligence and rank your organizational readiness with our maturity matrix. You can download your free copy here.

Today's guest is JT Kostman. JT has been recognized by his peers, the press and professional associations as one of the world's leading experts in Applied Artificial Intelligence and Cognitive Computing. A highly sought-after speaker, writer, and advisor, JT has earned a reputation for his ability to demystify frontier technologies and for developing practical, actionable, cost-efficient data solutions. In the public sector, JT has hunted terrorists for U.S. Intelligence Agencies, tracked criminal networks for the FBI, advised on analytic strategies for the Department of Defense and led social media analysis for the 2012 Obama Campaign. In his earlier life, he served as a Paramedic, Police Officer, Deep-Sea Rescue Diver, and as a team leader with the U.S. Army Special Forces. JT has led the development of industry-changing solutions while serving as Chief Data Officer for Time Inc., Chief Data Scientist for Samsung, and as an advisor to organizations ranging from tech startups to the Fortune 500. He has also has guided substantial investments in frontier technologies while serving as a Board Member of a PE/VC fund and as an advisor to numerous hedge funds, family offices, and institutional investors. In the episode, JT will tell you about: His unique journey as a Data Scientist Building a great Data Science team 6 Key tips on how to be a successful Data Scientist The importance of communications and storytelling Focus on what you're great at What you need to know for a career in Data Science

 Today’s guest is JT Kostman. JT has been recognized by his peers, the press and professional associations as one of the world’s leading experts in Applied Artificial Intelligence and Cognitive Computing. A highly sought-after speaker, writer, and advisor, JT has earned a reputation for his ability to demystify frontier technologies and for developing practical, actionable, … Continue reading "E23 JT Kostman, Data Scientist and CEO at Applied AI"

Apttus has a reputation as a global gold standard for Quote-to-Cash (QTC) and Contract Lifecycle Management (CLM) solutions. Apttus’ innovations include Max, the company’s Applied Artificial Intelligence that enables enterprises to achieve superior business outcomes. I have followed their journey for some time and covered their Accelerate event for the last couple of years. But, since this years event, things have changed at Apttus. Thoma Bravo, a leading private equity investment firm, recently announced that it has become the majority investor the global Middle Office leader. David Murphy is the new CEO after joining Apttus in October when the Thoma Bravo deal closed. He is one of Silicon Valley’s most highly regarded business executives. Over the past 30 years, Murphy has held top leadership roles driving market adoption and disruptive growth. I felt it was time I caught up with him to learn more about his vision when he recently flew into London. We also discuss how Gartner, has named the Apttus a Leader once again in the November 2018 Magic Quadrant for Configure, Price and Quote Application Suites. 

During episode 246, B.L. Ochman interviews Dr. JT Kostman, one of the world’s leading Data Strategists and experts in Applied Artificial Intelligence and Cognitive Computing. In this interview, they discuss the importance of data science in marketing, social media and education. Dr Kostman is informative, fun and opinionated (in a very nice way). Show Notes, Links & Video: http://beyondsocialmediashow.com/246 Connect with the show on social media Subscribe to the weekly eNewsletter

"Stay committed to ethics and objectivity. Your commitment will be tested over and over again as we move through this revolution" A true pioneer in the field of Applied Artificial Intelligence in Business and Strategy, Professor Al Naqvi is Executive Director of the Society of Artificial Intelligence in Medicine and Healthcare, and CEO of the American Institute of A.I. His goal is to democratise artificial intelligence responsibly.  Zinaida Mahmutefendic (AICPA-CIMA) finds out how, and discovers about what 'intelligent machines' mean for the wider professional community. OUR GUEST: Specialising in making A.I. learning easy for business executives, Professor Naqvi has developed 12 courses in Applied Artificial Intelligence in Strategy, Finance, Marketing, Supply Chain, Human Resources and others. He is also an expert in deep learning, especially in Financial Markets. WE DISCUSS: definition of AI at two levels: what 'Artificial Intelligence' is, and what 'Applied' AI means. What does this mean for 'intelligent' versus 'autonomous' machines? How finance professionals can use it to identify and monitor risk. Ways to use AI to improve and automate the work they do while improving their relationships with clients to add value and better serve their clients. == MORE ABOUT OUR PODCAST ==    DON'T MISS OUT. Get the latest show every week, automatically and free, at https://www.aicpa-cima.com/disruption.html. Share it easily with colleagues and friends by using the icons on the media player.  TAKE IT FURTHER. Find related CPD/CPE resources at https://www.aicpastore.com/GoBeyondDisruption and https://www.cgmastore.com/GoBeyonddisruption. STAY CONNECTED. Follow #GoBeyondDisruption, @AICPANews and @CIMA_News on social."   ©2018 Association of International Certified Professional Accountants (AICPA & CIMA). All rights reserved 

Raj Verma is the Chief Operating Officer at Apttus. He is an accomplished executive with experience growing companies at scale and is chartered with growing Apttus’ business while ensuring operational excellence across the company. He is also responsible for Apttus’ go-to-market strategy, sales, marketing and customer success operations. I wanted to chat with him about the big themes at the Apptus Accelerate event this year in San Francisco. What are the big takeaways? What role is AI playing in their future especially after leading the way by revealing their AI Assistant MAX last year? And of course, there is the big IB announcements and the Middle Office solution Omni. We discuss how Apptus is a hybrid cloud platform and by working alongside, Salesforce, Microsoft, and IBM they are truly cloud agnostic.  We also talk about Apttus’ Max, the company’s Applied Artificial Intelligence that enables enterprises to achieve superior business outcomes and the lessons learned over the last 12 months.      

I talk to Mariya Yao about AI and Machine Learning as applied to a variety of business problems and across industries. We cover: - What are some of the misconceptions around AI? - If I have an AI product, how can I talk about it to business leaders? How do I sell it externally? How does it become a business? - Where are various industries on this? - And what are some of the pre-requisites for AI; I'm talking about data collection, and organizational issues.

Al Naqvi is a global authority on Applied Artificial Intelligence in Business. Specializing in making A.I. learning easy for business executives and democratizing artificial intelligence, he has developed 12 courses in Applied Artificial Intelligence in Strategy, Finance, Marketing, Supply Chain, Human Resources and others. He was the Subject Matter Expert on the first High School courses in Artificial Intelligence and Robotics (developed by Praxis). He has published several academic articles on Applied A.I. He is the editor of Journal of A.I. in Business and Policy. He is co-editor of the first academic focused Business Strategy book on Applied A.I. He is the CEO, Professor, and Researcher at the American Institute of Artificial Intelligence. He has written dozens of articles on Applied A.I. and given interviews. His courses are taught in world's top companies and with partner universities and professional societies and associations. He is a frequent speaker on the topic of A.I. He is also the Executive Director of Society of Artificial Intelligence in Medicine and Healthcare. For more info visit: www.AmericanAi.com

The idea of empowering a vehicle to act like a human driver may have a long way to go. But, in this second installment of our Artificial Intelligence podcast series, Karthik Krishnamurthy from Cognizant Digital Business discusses a potentially larger and immediate impact of Applied Artificial Intelligence, driver assistance and its benefits.

When industry commentators write and speak about talent acquisition, there is a tendency towards generalized truisms that seemingly apply to all employers. The actual truth is much more nuanced and there are distinct differences in the reality of talent acquisition both between industries and between SMEs and large enterprises.My guest for this episode is David Mason. David has worked at a senior level driving talent acquisition innovation at a number of very large corporates in some progressive industry sectors.In the interview we discuss:    •    Three key things that have changed in Talent Acquisition over the last five years    •    Which industries are driving innovation and why    •    The problems large corporates have with embracing new technology    •    Where Talent Acquisition leaders should focus in order to drive changeDavid also gives us his views on the future and the role he sees being played by “Applied Artificial Intelligence” in recruiting.Subscribe to the podcast in iTunes