Podcasts about Cognitive computing

In this episode of Deep Dives with Iman, host Iman Mossavat speaks with Prof. Yulia Sandamirskaya, head of the Center for Cognitive Computing in Life Sciences at ZHAW, Switzerland. Her research centers on developing neuromorphic embodied AI for robotic applications, particularly in elderly care and healthcare. She emphasizes the need for perception and efficiency in robots that interact with humans, describing how her work uses dynamical systems and attractor networks inspired by biological processes to meet these demands. The discussion also explores how her models provide alternative, data-efficient approaches to building more robust AI systems.#embodied_cognition, #AI, #cognitive_computing, #care_robotics, #dynamical_systems, #neural_fieldsRadio4Brainport.org DAB+, 747 AM in Eindhoven, NL

After learning about the amazing work of my guest this week, I had an idea that I wanted to test out. Perhaps our current obsession with Large Language Models is revealing of our historic obsession with a narrow cognitivist view of how human learning happens (and, therefore, how schooling is structured)?!Memorise the largest possible bank of static data and then output plausible propositions, in response to prompts from a teacher or a standardised exam! Obviously that's a bit of an unfair caricature of the industrial schooling system, but also not a million miles from the truth! As you will have seen from my explorations over the last few years in episodes on ecological psychology, play, movement, active inference and 4E cognitive science, I believe that there is an emerging understanding of how radically embodied and embedded in place and in relationships human learning is actually is. So that's why I was so excited to learn about a vastly different approach to artificial intelligence that is based on a sensorimotor learning framework and Jeff Hawkin's Thousand Brains theory of the neocortex. Dr Viviane Clay is Executive Director of the Thousand Brains Project and a scientist with years of experience in neuroscience, AI and machine learning. She has a PhD in Cognitive Computing. The Thousand Brains Project grew out of decades of research at Numenta, a leading company in neuroscience-based AI technology, and is developing Monty, a new type of artificial intelligence based on the sensorimotor principles observed in the brain. Numenta's co-founder Jeff Hawkins is Research Advisor and Board Member of the Thousand Brains Project.You can find links to additional information about Monty and the Thousand Brains Project below:https://thousandbrains.org/ https://linktr.ee/1000brainsproj2 page overview: https://thousandbrains.org/wp-content/uploads/2024/12/TBP_Overview.pdfhttps://www.youtube.com/@thousandbrainsproject

Jim talks with Jeff Hawkins and Viviane Clay about the Thousand Brains Project and Jeff's book A Thousand Brains: A New Theory of Intelligence. They discuss Mountcastle's theory of the neocortex's universal algorithm, cortical columns & their structure, learning modules in AI sensory systems, reprogramming of the neocortex, the 6 layers of cortex, mini-columns & macro-columns, the visual cascade, reference frames as essential for knowledge representation, "voting" for perceptual consensus, how the project differs from deep learning & LLM approaches, William Gibson's concept of affordances, the "Jennifer Aniston neuron" idea, current state of the Monte project, solving fundamental problems vs making impressive demos, avoiding "old brain" traits in AI systems, and much more. Episode Transcript Perceptual Neuroscience: The Cerebral Cortex, Vernon B. Mountcastle On Intelligence, Jeff Hawkins and Sandra Blakeslee (2004) A Thousand Brains: A New Theory of Intelligence, Jeff Hawkins Monte Project – Open-Source Implementation Superintelligence: Paths, Dangers, Strategies, Nick Bostrom Jeff Hawkins is a scientist whose life-long interest in neuroscience led to the creation of Numenta and its focus on neocortical theory. His research focuses on how the cortex learns predictive models of the world through sensation and movement. In 2002, he founded the Redwood Neuroscience Institute, where he served as Director for three years. The institute is currently located at U.C. Berkeley. Previously, he co-founded two companies, Palm and Handspring, where he designed products such as the PalmPilot and Treo smartphone. Jeff has written two books, On Intelligence (2004 with Sandra Blakeslee) and A Thousand Brains: A New Theory of Intelligence (2021). Viviane Clay is the director of the Thousand Brains Project. She received her doctorate degree in Cognitive Computing and master's degree in Cognitive Science at University of Osnabrück in Germany, where she focused on sensorimotor learning as a key aspect in intelligence. She brings to Numenta fifteen years of coding experience, along with her background in neuroscience, psychology, and machine learning.

The ability of AI to empower, not replace, humans is often lost in the sensational stories about AI's impact on call centers. In this podcast we explore how conversational and generative AI are being utilized across industries to exponentially scale role-playing, and enable true scenario-based training where you can practice active listening, communication, and multi-tasking skills simultaneously. David Lawson, Co-Founder & CEO of Call Simulator, will discuss how immersive conversation simulations can be created, distributed, and analyzed by call centers of any size. He will share the success his company's clients have had in industries as diverse as emergency dispatch centers to Fortune 500 insurance companies. David will also discuss the proven ROI of simulation training, and why it is integral to a call center's quality management.   Guest: David Lawson, Co-Founder & CEO - Call Simulator, Inc. David has been an entrepreneur focused on technology, data insights, and training for decades. He is the author of Big Good: Philanthropy in the Age of Big Data and Cognitive Computing. He designed one of the first AI for Good applications using IBM Watson, and most recently co-founded Call Simulator, a company that provides Conversation Training as a Service to call centers. Call Simulator uses a combination of conversational and generative AI to enable their clients to quickly create immersive training experiences, and deliver them anywhere at any time.

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Calvin Lawrence is a Distinguished Engineer and Chief Architect for Cognitive Computing and Innovation for IBM Global Markets. He joined Joe Madison to uncover the pervasiveness of racism in artificial intelligence, and what we can do about it.Buy "Hidden In White Sight: How AI Empowers and Deepens Systemic Racism" here: https://hiddeninwhitesight.com

In this episode of the Emotional Intelli-Gents Podcast we focus on a topic that has been dominating the international tech conversation recently by changing the way people live and work.  What we are referring to is artificial intelligence technology platforms like ChatGPT and Midjourney. Platforms like these, and others, have undoubtedly taken the world by storm. Without question, there is major utility in products and platforms such as ChatGPT.  We also know the forthcoming generation of AI advancements will eclipse what we have available today.  Specifically, the episode will focus on how AI technology, once fully developed and relied on, could bolster a leader's ability to lead in an emotionally intelligent way.  We will also explore the alternative, of how AI technology may hinder a leader's ability to lead with EQ.The episode will begin by sharing a very basic explanation of the current state of AI.  We define the differences between narrow AI and general AI.  Narrow AI is what we see available today in the marketplace with programs like ChatGPT.  Narrow AI is designed to analyze a large mass of data available to it and complete tasks the tool is directed to complete.  General AI, on the other hand, is still a work in progress and is being developed as we speak.  General AI is distinct in that it has the ability to apply reasoning and will be able to replicate human intelligence.  Narrow AI tools do not have the capacity to replace humans in the workplace at scale, but will act more as a complement to the current workforce, allowing us all to leave the menial tasks to AI and focus on higher value work.  One cross-section of AI and EQ we explore in great detail in the episode, are tools, currently in development, that will be able to provide data on the emotions of specific individuals employed by an organization.  AI tools will have the ability to use natural language processing (NLP), facial and body language recognition, and tone analysis to complete sentiment analyses of individuals.  The sentiment analysis will then draw conclusions about an individual's level of engagement or general mood towards work and provide feedback to leaders.  In this episode, we discuss the pros and cons of such technology eventually taking hold.  There are arguments to be made on both sides.  For starters, this type of AI technology can create ethical or privacy concerns for individuals.  It can also cause leaders to rely too heavily on the tool's assessment of an individual's emotions, rather than relying on critical human leadership skills like intuition and empathy to draw similar conclusions. On the flip side, there is an argument that more information, whether derived through human to human interaction, or AI tools, is a good thing.  For companies, looking to implement more policies to better emotionally support their workforce, this type of data can be invaluable.  Sentiment data, if collected responsibly can have a real impact on bridging the gap between how employees are feeling at work, and how they want to feel at work. EP06, in its entirety, tackles a very relevant topic of AI and its inevitable downstream implications for all of us.  Please join us by listening in and giving us your feedback.  Do you see value in AI tools giving businesses insights on their team's emotional state? How will this impact leader's ability to lead with emotional intelligence? Feel free to send us an email at info@emotionalintelligents.com and share your thoughts or visit us at https://linktr.ee/emotionalintelligents

Discover the history, approaches, and algorithms behind problem solving by search in AI on this exciting podcast episode. Explore how search algorithms have revolutionized the field of AI and its applications in robotics, computer vision, and natural language processing. Learn about the different types of search algorithms and their performance measurements as we delve into the world of problem solving in AI.  Support the Show.Keep AI insights flowing – become a supporter of the show!Click the link for details

Philosophy is thousands of years old and for all that time, it has been the study of finding truth in a world populated by humans as the only thinking entities. AI's and synthetic intelligence are now changing the very definition of intelligences and consciousness. In this podcast Scott explores what he calls Neo-Philosophy and the need to answer important questions about the integration of human and synthetic intelligence. One such question is defining levels of consciousness and how technology fits into the new model. One hundred years of science fiction is now coming true and we need to find the Truth about how that will impact each of us. You might want to have a device near you to take a few notes from this podcast!

Raus aus dem sinnlosen Arbeitsalltag & hinein in ein erfülltes Leben: Bewerbe dich noch heute für ein kostenfreies Beratungsgespräch und finde Klarheit über deine Berufung: https://bit.ly/3HFwUSW ___ In dieser Episode des Human Elevation Podcast sprechen wir mit Edy Portmann über die Digitalisierung, über den Überwachungskapitalismus, wie Technologie die Gesellschaft spaltet und wie man das verhindern könnte. Edy Portmann ist Professor für Informatik am Human-IST Institut der Universität Freiburg sowie Vorstandsmitglied der Schweizerischen Informatikgesellschaft. Seine transdisziplinäre Forschung fokussiert sich auf Soft und Cognitive Computing sowie dessen Anwendung auf die Netzwerkindustrie. Edy beschäftigt sich mit einer ethisch-nachhaltigen Digitalisierung der Gesellschaft. ___ ►►► Sprenge deine Grenzen, finde Erfüllung und schaffe inneren Frieden. Verwandle dein Leben in ein Meisterwerk und hol dir mein Buch: https://amzn.to/3IUZgXF ►►► Mein Buch gibt es jetzt auch als Hörbuch: https://adbl.co/3zgduAa ___ ►►► Besuche gerne die Website von der Universität Freiburg, um mehr über Edy zu erfahren: https://bit.ly/3hwgCRP ___ ►►► Kostenloser Workshop "Die 3 Geheimnisse, warum du aktuell in deinem Beruf nicht glücklich bist und deine Berufung noch nicht lebst: https://bit.ly/3OPooAH ► Besuche uns auf Instagram oder Youtube: ► Patrick Reiser: https://www.instagram.com/patrick.reiser/?hl=de ► Human Elevation Institut: https://www.instagram.com/human.elevation/?hl=de ► Patricks YouTube Channel: https://bit.ly/3xjuyma Wenn dir diese Episode gefallen hat, lass uns gerne ein Abo und eine Bewertung da. Liebe Grüße, dein Patrick & Team Kooperationsanfragen gerne an: kontakt@patrickreiser.com

Most everyone understands that a large amount of content on the Internet is not true. This is posted by people and organizations who have a specific reason to lie and mislead, or can be posted by people who simply state “facts” and make references to research that is simply not valid. We are not far from the ability to use AI, Machine Learning and Deep Learning to begin scoring content as to the likely truthfulness it contains. Will there be bumps along the road of this quantification concept? Yes. Do we need something better than the nothing we have today to help us? Yes.

Does everything need to be measured? The concept of technology driven quantification and measuring has far reaching impact and is not often discussed which makes it a perfect Digital Optimist topic. The capability for people, organizations, and products to be rated, to be quantified, to be measured, in very public ways is expanding. The door is now wide open as people have credit scores they never asked for, UBER drivers are rated, and social media has a currency of measurement all its own called “likes”. Gazing into the future, we will get new measurements like Trust Scores that will have positive and negative impacts on people. Although data and analytics are wonderful for bringing clarity to the Truth, humanity may see some interesting consequences to creating measurement systems for very human characteristics such as the level of trust we can put in a person.

1. The brain has approximately 100 billion neurons and 100 to 150 trillion synaptic connections 2. The Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) is developing a electronic neuromorphic brain-simulator 3. Lawrence Livermore National Lab, Blue Gene/Q Sequoia, using 96 racks (1,572,864 processor cores, 1.5 PB memory, 98,304 MPI processes, and 6,291,456 threads). 4. Ibm created 530 billion neurons in hardware with 100 trillion synapse. The simulator is not a biologically realistic simulation of the human brain 5. Dr Dharmendra Mocha divided 2 billion neurons in simulation in 77 sections. Modha is replicating the right side of the brain with complex brain functionality occurs. 6. Each synpatic core has 256 neurons. The neurons are used to create cognitive computing. 7. The TrueNorth library accessible by c/c++ contains 150 pre-designed corelets, each with a particular task. 8. Cognitive Computing may find use in big data and vision systems. 9. The TrueNorth system was fed streaming video at 30 frames a second, it recognized people, cyclist, cars, buses, and trucks with 80 percent accuracy and used 63 milliwatts of power. 10. The average human brain has 10,000 inputs per neuron. Where trueNorth only has 256 inputs --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Affective Computing ist ein Gebiet innerhalb des Cognitive Computing, welches sich mit dem Sammeln von Daten aus Gesichtern, Stimmen und Körpersprache beschäftigt, um menschliche Emotionen zu messen. Empathie für Maschinen – Durch Affective Computing wird dies möglich. Wie es einem Computer gelingen kann, menschliche Emotionen zu erkennen und welche potenziellen Anwendungsfälle sich durch diese Technologie ergeben, dass erfahren Sie in diesem Podcast vom Mittelstand-Digital Zentrum Zukunftskultur.

Cognitive computing is a family of different technologies designed to "think" in ways similar to the human brain.  With cognitive computing, you can create better products for your customers, learn more from your organization's data, improve productivity, and refine how your business operates—it all depends on how you choose to develop it.  If you want the best possible cognitive computing product, you'll need to choose the right ML/AI developer. At DEV.co, our approach to cognitive computing unfolds in five major steps: onboarding, brainstorming, drafting, workshopping, design, architecture, and implementation. More info about cognitive computing (ML/AI) development services:   https://dev.co/ai/   Connect with us:  SEO // PPC // DEV // WEBSITE DESIGN

In this episode of Cyber Security Inside What That Means, Camille has a philosophical and surprising conversation with Joscha Bach, Principal AI Engineer, Cognitive Computing at Intel. They chat about machine consciousness, artificial intelligence, and the ethics of sentient machines. Are we all machines? Find out in this episode. To find more episodes of Cyber Security Inside, video interviews, and blogs on cybersecurity topics, visit our website at https://cybersecurityinside.com.   The views and opinions expressed are those of the guests and author and do not necessarily reflect the official policy or position of Intel Corporation.

Video is considered the most complicated data to process and the volumes of video production are growing from day to day. Ben and Michael talk with Oleg and Anastasiya about how to leverage robotics and advanced cognitive computing-based video processing algorithms to automate the most routine parts of editing and post-production. Specifically, they discuss American sports such as the NFL, NBA, and NHL, and how to use AI to automate sports highlight reels can automate content post-processing video analytics to save time and streamline employee workflows. This is an exciting video you won't want to miss! Sponsors Top End Devs Coaching | Top End Devs Special Guest: Anastasiya Vishnevskaya.Sponsored By: Coaching | Top End Devs: Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs: Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how.

Dr. Jerry Smith welcomes you to another episode of AI Live and Unbiased to explore the breadth and depth of Artificial Intelligence and to encourage you to change the world, not just observe it!   Dr. Jerry is talking today about Cognitive Services, which is the second part of the evolutionary optimized digital surrogate-based predictions causal AI-driven digital transformation life cycle. Listen to this episode to find what Cognitive Services are, why they are important to businesses, how to identify four key cognitive attributes to your services, and three of the most important services you should start using today.   Key Takeaways: Before starting with today's cognitive services, Dr. Jerry goes back a few years to lead us to where we are now. In 2016, cognitive services started, but a lot of them were just promises that did not bring economic value. Cognitive services missed the connection with the business side, but causality changed that. What are Cognitive Services? Cognitive relates to conscious and mental activities. If you are using AI to help you make decisions that relate to your customers, you need to have someone that relates to Cognitive Psychology and understands the psychology of people and the sociology of groups. Examples of cognitive services are Speech and Image recognition, Text to Speech, Speech to Text, and searching through vast amounts of information. What is Cognitive Computing and what are some of its benefits? Cognitive computing is the use of computerized cognitive models to simulate human thought processes. One benefit of cognitive computing is that it performs well in complex situations where answers and data are ambiguous and uncertain. What constitutes cognitive computer systems? Four primary characteristics: Cognitive computer systems have to be highly adaptive, they have to be flexible enough to learn as information changes. Cognitive computer systems have to be interactive. Iterative and stateful. Cognitive computer technology can identify problems by asking questions if the state of the problem is vague or incomplete. Cognitive computer systems have to be contextual since understanding the context is probably the most critical process in the causal AI digital transformation cycle. Cognitive computing is not AI; it uses AI and AI uses cognitive computing. Cognitive computing is used when you are dealing with human characteristics in industries like health care and services. Cognitive computing is more about being human than being a machine. What is data science? Data science is the process of studying data, you always get value out of it. Machine learning learns the characteristics of the data in different variables in order to make predictions. AI is all about making decisions based on the machine learning models and the predictions of tomorrow and asking what are we going to be doing tomorrow as a consequence of that. What are some of the top cognitive services today? Computer vision: consists of pulling out actual information from images. Emotion: Analyzing faces and bodies to detect emotional ranges of mood. Face: Identify similar faces. Content moderation is automatically moderating text, images, or videos, and has profound importance to our society. Why are cognitive services important? Cognitive services allow us to drive behavioral insights from data. Data has no intrinsic value; the value of data comes in how we process it, how we look at it, and what questions we ask (which are very subjective and will give different outcomes). Behavior, behavior, behavior.   Stay Connected with AI Live and Unbiased: Visit our website AgileThought.com Email your thoughts or suggestions to Podcast@AgileThought.com or Tweet @AgileThought using #AgileThoughtPodcast!   Learn more about Dr. Jerry Smith

Let's focus on what we mean when we say "intelligent automation." We also dive into some general ways that it can help, and possibly setback, people and businesses.

How is the development of AI learning coming along? How is it helplful, and what will it look like in the future?

Name: Dr Imtiaz Abdul KaderCurrent title: CIO Absa InsuranceCurrent organisation: Absa GroupImtiaz is a proud father of 2 and a researcher in the field of Strategy Execution and Leveraging Advanced Technologies to enable growth. He also works as an Executive in the Banking Industry He has had exposure across all domains in the ICT sector from an academic and practitioner perspective. Besides his 24 years' experience in the ICT sector across the Telecoms and Banking domains, he holds a Masters in Engineering degree and a Doctorate. He has led large diverse teams to deliver enterprise programmes across multiple domains, including the Digital Strategy Definition and Execution. He also recently published his book #Throw Away the Box, focusing on understanding organisations and how technology can be leveraged to grow an organisation and the economy holistically. He continues to research the adoption of bleeding edge technologies, such as Artificial Intelligence, Cognitive Computing, Quantum Computing.

In this episode, I converse with Dr. Teodoro Laino, a Distinguished Research Scientist and Manager at IBM Research. Teodoro received his degree in Theoretical Chemistry in 2001 at the University of Pisa and Scuola Normale Superiore di Pisa, and further completed his doctorate in 2006 in computational chemistry at the Scuola Normale Superiore di Pisa, Italy on "Multi-Grid QM/ MM Approaches in ab initio Molecular Dynamics", supervised by the legendary Prof. Michele Parrinello. From 2006 to 2008, he worked as a post-doctoral researcher in the research group of Prof. Jürg Hutter at the University of Zurich, where he developed algorithms for ab initio and classical molecular dynamics simulations. Since 2008, he has been working in the department of Cognitive Computing and Industry Solutions at the IBM Research - Zurich Laboratory. Teodoro's research focuses on complex material simulations for industrial-related problems (energy storage, life sciences and nano-electronics) and more recently, he has been interested in the application of machine learning/artificial intelligence technologies to chemistry and materials science problems with the purpose of developing customized solutions. We indulge in a very fascinating conversation on his terrific journey through science; fantastic mentors who inspired him; heading into theoretical chemistry at the cusp of revolution; confronting the ubiquitous imposter syndrome; the extraordinary impact of AI and ML in the natural sciences; the IBM RXN for chemistry platform; becoming an aviation pilot, and many more things!!

This episode of The North Star focuses on the practical role of cognitive computing and AI in organizations. Cognitive computing refers to technologies that learn at scale, reason, and interface with humans in a manner aligned with the way people naturally interact. The underlying technologies comprising cognitive computing include artificial intelligence, machine learning, rules-based solutions, state machines, neural networks, predictive analytics, and quantum computing. This episode will look at three focal points: Gamification, AI and Ethics to offer business leaders insights as to how best to plan for and invest in these areas. The discussion will look at the ethical risks and responsibilities that business leaders should consider as AI proliferates across business ecosystems. William Ulrich welcomes esteemed guest and leader in the field Phaedra Boinodiris. The episode will also share insights into how much of what business leaders are hearing is hype versus reality. Join them for this highly informative discussion.

3 Takeaways:Empathy and data are not two words that we typically associate with one another. But according to Karl, they don’t have to be completely separate, in fact, they can go hand in hand.Paying attention to data outputs can help you spot pain points for your customers.For digital transformation, it's important to get your employees to trust the process. Even well-implemented change requires time and patience.Key Quotes:“How do we take all of this data that we generate in healthcare and how do we cram it into information that is useful for making decisions? Healthcare has desperately needed that kind of change in order to interact with people and meet the expectations that customers and patients have.”“I [want to] understand your history so that I can better treat the problems that I'm seeing. How does what I'm seeing right now, as you've shown up into an emergency room, how does that fit with the history that you've had in the past? The more that I know about you specifically, the better I will be at being able to treat you.”“People are talking about the mRNA vaccines and how quickly it was developed. The technology has been worked on for 10 years, it's got a lot of history behind it.  Think of how effective and targeted this vaccine is. This is the way the vaccines will be done in the future.”Bio:Karl Hightower is Senior Vice President of Enterprise Information Management and Chief Data Officer for Novant Health, where he and his teams oversee the advancement of the use of information assets for the company. His teams deliver products and services ranging from advanced analytics and real-time messaging to delivering Cognitive Computing and AI solutions throughout the enterprise. Karl has an undergraduate degree from the University of North Carolina at Chapel Hill in political science, and was in the first class to go through Carnegie Mellon’s prestigious ISRI Enterprise Architecture and Strategy program. Karl is the son of two college professors and is from a long line of educators. This upbringing instilled a continuous thirst for learning and creating opportunities for others to learn. While in Dallas, Karl helped to found and build the STEAM education program for the district. The program included one entirely Spanish immersive middle school as well as associate degree paths in the high schools. Karl was heavily involved in the Texas Amateur Golf Association as well as the Dallas LPGA events. In Charlotte, Karl has joined the District Advisory Board for Career and Technical Education (CTE) for the Charlotte Mecklenburg School district.

Anche per il sistema sanitario l'innovazione è trainata dal potere di dati. Le nuove frontiere della Sanità 4.0 puntano su tecnologie innovative come Big Data, Cognitive Computing, Intelligenza Artificiale, IoT (Internet of Things), Realtà Aumentata, 5G, robotica. La trasformazione digitale della sanità mira a perfezionare l'efficienza strutturale e l'esperienza dei pazienti con percorsi di assistenza e cura sempre più efficaci. Nell'era digitale data-driven, la chiave dell'innovazione è riuscire a generare informazioni utili dai Big Data utilizzandole per ottimizzare le strutture sanitarie, i percorsi di cura e prevenzione, l'implementazione di un sistema avanzato. Tecnologie abilitanti nell'ambito della Sanità 4.0 La digitalizzazione della sanità necessita di diverse tecnologie abilitanti a seconda dello scopo e dei destinatari: diagnostica, nuovi metodi e percorsi terapeutici più sicuri, efficaci e personalizzati per medici e ricercatori; processi clinico-sanitari nelle strutture (Cartella Clinica Elettronica); servizi digitali (prenotazioni, eliminacode, totem, ecc.) e telemedicina per i cittadini; sensori e connettività pervasiva per chiunque, che permette un'esperienza più attiva con la sanità. La lista delle tecnologie abilitanti è lunga. Si passa da firme digitali e procedure automatizzate a piattaforme avanzate di analisi data-driven, dalla stampa 3D di apparecchi come i ventilatori polmonari all'Intelligenza Artificiale e Machine Learning per test clinici e diagnosi, dalla teleassistenza alla Big Data Analysis per la medicina personalizzata. Sanità 4.0: Intelligenza Artificiale e Cognitive Computing L‘Intelligenza Artificiale occupa un posto di primo piano anche nella Sanità 4.0 sia in termini di automazione delle procedure cliniche e amministrative sia per la diagnosi e la medicina personalizzata. Vediamo quali sono i campi di applicazione dell'AI più interessanti: process automation per la refertazione delle immagini; patient experience, che prevede nuovi tipi di servizi come il medico generico virtuale (MMG) in alternativa o affiancato a quello tradizionale oppure il chatbot/virtual assistant che raccoglie in automatico dati inseriti poi nella cartella clinica. Avanza l'utilizzo dell'Intelligenza Artificiale con tecniche di Cognitive Computing per supportare l'attività diagnostica e interpretare dati non strutturati (telefonate, video). Un sistema basato sul Cognitive Computing può individuare diagnosi compatibili con i sintomi, cartelle cliniche e altri dati del paziente. La Medicina di Precisione grazie ai Big Data I Big Data Analytics per la Medicina di Precisione avranno un grande impatto sull'innovazione digitale della Sanità 4.0. Allo scopo di fornire i migliori risultati terapeutici, la Medicina di Precisione si basa sulla relazione dei dati genetici di ogni paziente con il suo stile di vita e il contesto ambientale. La migliore cura fornita si affianca a un costante monitoraggio degli effetti terapeutici che può richiedere interventi correttivi. I Big Data permetteranno un trattamento personalizzato ed esami non invasivi grazie alla radiomica e radiogenomica nell'ambito dell'oncologia attraverso la medicina di precisione. Per curare alcune tipologie di tumori, le già esistenti terapie ‘a bersaglio molecolare' prevedono esami invasivi e dolorosi. Radiomica e radiogenomica sono tecniche innovative che interpretano esami di routine come Risonanza Magnetica e TAC. Evidenziano nelle immagini certe caratteristiche ‘radiomic' da mettere in relazione con dati clinici come gli effetti di una certa terapia. Dal semplice esame di routine è possibile ottenere importanti indicazioni sulla terapia personalizzata da seguire. Le informazioni legate alle ‘radiomic features' vengono incrociate anche con altri dati come lo stile di vita del paziente o la sua storia clinica rendendo la cura ancora più personalizzata. IoT e Realtà Aumentata L'IoT applicato ...

Monishwaran is one of the youngest Computer Scientists working in the field of Deep learning, Cognitive Computing, Blockchain, and Quantum Computing. Over the past several years, Monishwaran has developed numerous projects, using Artificial Intelligence, ranging from accelerating the diagnosis of Schizophrenia to combating Malaria using blood diagnosis. He has collaborated with several companies in the hopes of building a better world. Monishwaran has authored a number of groundbreaking books on technology, programming, and innovation. He believes programming needs to considered as a primary language, and should be taught to everyone. His project, The Neural Connect, uses deep learning to change the way humans interact with the environment and provides a new communication media for people who can't communicate effectively. His other inventions include Project TAR-Teaching Through Augmented Reality, Assistive technology for the Hearing and Visually Impaired, Anti-traffic congestion system, Air mouse. He is currently involved in bringing the power of Quantum Computing to the hands of common people. ————————————————————————————— Connect with me here: ✉️ My weekly email newsletter: jousef.substack.com

Peter Reid has an avid interest and passion for Artificial Intelligence and is currently the Head of AI at Mint Group, a leading global systems integrator. In this What's Next interview, Reid gives insight into the latest trends on Artificial Intelligence and Cognitive Computing solutions and how this tech has been used to address the challenges brought by Covid-19.

In this episode, Colin Blair, VP of Specialized Solutions for TechData, shares his unique perspective based on talking to hundreds of partners about what is selling right now! Here's what Colin discusses: There is going to be a BIG recovery in Q1-2021 Packaged COVID recovery solutions Tele-Health Video Analytics that enhance physical security camera solution. Asset management - where are your trucks, people and other assets. Compliance, safety and health.  Physical distancing, thermal sensing. Grant-writing services.  TechData has a service focused on grant-writing to help MSP's win non-profit business. Manufacturing is going to be a huge growth sector post-COVID. Connect with the TechData IoT and Data Solutions Team Email: maitto;iot@techdata.com Visit: https://iot.techdata.com Explore the IoT and Data Solutions Resource Center (Catalogs, Events, Webinars, Podcasts, and more) Lean how TechData is helping manufacturers build resilient operations: https://resilient-mfg.com About Colin Blair Colin Blair is the vice president of IoT and Data Solutions for the Americas at Tech Data. In this role, he is responsible for the sales, strategic direction, profitable growth and acceleration of IoT, big data & analytics and vertical market solutions through the Tech Data partner ecosystem in North America. Colin’s team comprises business consultants, solution architects, sales, solution development and vertical market specialists focused on next-generation technologies. Blair joined Tech Data in February 2017 upon the completion of Tech Data’s acquisition of Avnet’s Technology Solutions division. Prior roles included vice president, Data Analytics, Cognitive Computing and IoT for Avnet Technology Solutions, Americas and vice president of Global Strategic Planning, where he worked with corporate business leaders around the world to perform competitive benchmarking, conduct business modeling, forecast gap analysis and scenario planning to support corporate strategy development, operational planning and regional execution. Blair has more than 25 years of industry experience in the information technology industry and distribution. He has demonstrated success in many facets of the business, including product development, product marketing, vertical markets, business development, sales management, account development and business strategy. Prior to Avnet, he worked for Texas Instruments and Motorola in various product development and product marketing roles in the semiconductor and telecommunications industries. Blair holds a Bachelor of Science degree in Electrical Engineering from Texas Tech University and a Master of Global Management from Thunderbird Global School of Management. About Your Host, Mark Smith Mark Smith is the host of IoT Playbook, a video podcast for the channel.  Mark is also the co-founder of  CleanConnect.ai, an IoTMSP specializing is AI solutions for oil & gas operators.

In its Future of Finance series, The London Institute of Banking & Finance (LIBF) and The Centre for the Study of Financial Innovation (CSFI) invite leading practitioners and observers to debate current trends in finance and discuss what they might mean for the future of the sector. In this first episode in the series, Dave Birch, a director of Consult Hyperion; Helene Panzarino, Associate Director of the Centre for Digital Banking and Finance at LIBF; Amir Nooriala, Chief Strategy Officer at Callsign; and Radu Orghidan, Vice President of Cognitive Computing at Endava debate recent trends in fintech… or should we now say ‘techfin'? The discussion is hosted by director of CSFI and Visiting Professor at LIBF, Andrew Hilton. For more information on our qualifications and training go to our website and follow us on our social channels on Twitter and Linkedin.

Cris Doloc functions as a Director, Advisor to StockOdds, Inc. Cris Doloc is an accomplished Quantitative & Computational Scientist, team and platform builder, and currently teaches at the University of Chicago Financial Mathematics Department "Case Studies in Computing for Finance". Cris Doloc holds a Ph.D. in Computational Physics and has worked for more than two decades at the intersection of Quantitative and Computational Finance. He is an accomplished technology leader who designed and led the implementation of several firm-wide trading, valuation and risk systems. Cris' expertise extends from enterprise software architecture, to High Performance Computing and Quantitative trading. He is very passionate about the opportunities that recent developments in Cognitive Computing and Computational Intelligence could bring to the field of Quantitative and Computational Finance. Cris Doloc has spent the last two decades in the field of Computational Finance working for several top-tier financial firms. As such Cris has been the Chief Technology Officer of Terra-Nova Financial, the Head of Valuation Infrastructure at Chicago Trading Company and the Founder & Principal of Quantras Research Ltd. Cris Doloc is the Authour of "Applications of Computational Intelligence in Data-Driven Trading" - Available on Amazon https://www.amazon.ca/dp/B0813ZSNKK/ref=rdrkindleext_tmb

Andrea Pitrone, Chief Customer Success Officer and Chief Product Officer at Loop AI Labs shares his view of unsupervised cognitive computing and enterprise transformation. We discuss the technology and practical applications. We end with the future of implementing AI/cognitive solutions in industry.

In this episode we have a really exciting guest, one of our good friends, Blake Edwards. Blake is a computer scientist, researcher and a total go-getter when it comes to opportunities. He has a passion for learning and exploring. Listen in to hear Blake share his advice for receiving scholarships, staying motivated and scoring any opportunities that come your way. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

We Talk IoT, the Smart Industry podcast, keeps you up to date on the most important developments in the world of IoT, IIoT, Artificial Intelligence and Cognitive Computing. Listen to leading industry experts, business professionals and experienced journalists as they discuss some of today’s hottest tech topics and how they can help boost your bottom line.

In collaboration with SINGULARITY UNIVERSITY LAGOS . This episode  kicks off interactive discussions within the local community in Lagos. With the massive disruption caused in institutions and societal structures by exponential technologies globally, how do we manage the transition and apply these technologies locally? How are we taking advantage of the trends in Solar Power & Energy Storage, Fintech & Digital Currency, Virtual Reality & Augmented Reality, Intelligent Agents, Cognitive Computing & Artificial Intelligence, Space Exploration and more. How can big organizations with several years of linear growth and approach transition to thinking and implementing and growing exponentially?Join us as we address these issues in 2 panel sessions with panelist from the local community who are leading the exponential trends in Lagos.Victor Olorunfemi Tax Technology & Innovation Lead, PWC - Price waterhouse CoopersJudith Okonkwo   Founder, Imisi 3DOlu Ogunlela Co-Founder & Chief Curator, Gridless AfricaOluseye Soyode- Johnson Innovation , EricssonIdris Ayodeji Bello Steering Committee Member, Nigeria Health Innovation Marketplace (NHIM)

Your browser does not support the audio element. Click the Title to Play or DownloadThis podcast is a recording of a panel discussion at the Reimagine Education Conference on November 30, 2018, in San Francisco. You will hear from the panelists: Joel Hellermark (CEO of Sana Labs), Nirmal Mukhi (researcher at IBM Watson) and Ethan Keiser (CEO of Studytree) about how AI and machine learning can supplement education. Each panelist gives a brief introduction to their work in AI and answers questions from the moderator, Jack Moran of QS Quacquarelli Symonds, the Reimagine Education Progam Manager.Joel Hellermark / Sana LabsWatch Video PodcastNirmal Mukhi / IBM WatsonEthan Keiser / StudytreeThey discuss:AI tutorsRobopocalypseTeachers losing jobsFaculty resistance to technologyIntegrating machine learning into educational institutionsMeasuring the efficacy of educational technologiesImproving research collaborationInteresting observations from student tech useFuture directions of AI and machine learning for educationLinksUSciences eLearning 3.0 Conference - May 14, 2019Podsafe music selectionScandalous Abyss by Rod Murray using Jukedeck - create your own at https://jukedeck.com.Duration: 38:06

Cognitive automation and artificial intelligence are becoming core parts of the innovation strategy for many organizations. On this episode, we explore cognitive automation in the enterprise.Read the full transcript and watch the video:https://www.cxotalk.com/episode/cognitive-automation-enterprise

Cognitive automation and artificial intelligence are becoming core parts of the innovation strategy for many organizations. On this episode, we explore cognitive automation in the enterprise.Read the full transcript and watch the video:https://www.cxotalk.com/episode/cognitive-automation-enterprise

“En [dialect] Suisse-allemand, il y a plusieurs façons de dire "J’ai mal à la tête".” Haig A. Peter, AI Ambassador IBM Research Zurich La data est au coeur de nos réflexions stratégiques, mais aussi des scandales les plus retentissants ayant éclaté ces dernières années. A l’ère de l’Intelligence Artificielle, la question de la gouvernance des données devient toujours plus criante. Comment construire la société de demain dans la confiance? Réponses dans ce 31e épisode d’Airccelerate podcast avec 2 experts iA basés en Suisse: Haig A. Peter d’IBM Research et Jérôme Berthier d’Empowerment Foundation. En 2019, il paraît évident à une enfant de 11 ans d’être géolocalisée, ciblée par des publicités dites ‘personnalisées’ ou encore de recevoir des propositions de contacts non sollicités via des applications gratuites. Si les plus-values sont perceptibles, le jeu actuel en vaut-il la chandelle? Nous centralisons nos données auprès de corporations impersonnelles résumées dans des acronymes à 4 lettres (BATX en orient, GAFAM en occident) dans une logique consumériste parfois aux limites d’une certaine éthique, ou n’atteignant pas un partage de valeur perçu comme équitable pour chaque partie prenante. Après avoir organisé la 2e édition de l’Empowerment Summit à Lausanne en octobre 2019 et reçu des sommités telles que Tristan Nitot (Qwant/Mozilla), Paul-Olivier Dehaye (Cambridge Analytica) ou Brett Horvath (Guardians.ai), le vice-président d’Empowerment Foundation, Jérôme Berthier, tentera de synthétiser l’état de l’art en matière d’utilisation des données. Quant à Haig A. Peter, ambassadeur du Cognitive Computing pour IBM Research à Rueschlikon (ZH) - laboratoire prolifique qui a vu passé deux Prix Nobel jusqu'ici - il abordera les tendances en matière d’iA à travers le prisme d’IBM Watson. Retrouvez les notes complètes de l'émission, ainsi que des liens pour aller plus loin sur la thématique Hyperledger sur www.airccelerate.com

Topos is cognitive content mining company. Our mission is to build an intuitive reading machine that interprets human language to solve human problems and advance human goals. The result of our efforts is a game-changing technology called Gracie. Gracie uses an innovative blend of AI technologies and techniques, including natural language processing, machine learning, deep […] The post “Cognitive Computing Now” with Christopher Stephenson of Topos Labs appeared first on Radio Entrepreneurs.

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"

Wir waren auf der Rise of AI in Berlin und haben mit Monishwaran Maheswaran gesprochen. Der 17-jährige Monishwaran Maheswaran ist einer der jüngsten Informatiker auf den Gebieten Deep Learning, Cognitive Computing und Cloud Computing. Monishwaran war bei mehreren Olympiaden herausragend und forschte unter anderem an der Harvard University in Mathematik. In den letzten Jahren hat Monishwaran zahlreiche Projekte mit künstlicher Intelligenz entwickelt, die sich auf das Gebiet der Gesundheitsfürsorge beziehen, von der Beschleunigung der Diagnose von Schizophrenie bis zur Bekämpfung von Malaria mithilfe der Blutdiagnose. Monishwaran wurde von mehreren Universitäten eingeladen, Kurse und Gastvorträge auf dem Gebiet der künstlichen Intelligenz und des Quantencomputings zu halten. Er ist TEDx-Sprecher und Hauptredner bei mehreren internationalen Tech-Konferenzen. Monishwaran möchte das Wissen über Computerprogrammierung verbreiten und unerfahrene Entwickler und Kinder durch seine Bücher und Vorträge zu inspirieren und motivieren. Sein Projekt, The Neural Connect, nutzt Deep Learning, um die Art und Weise zu verändern, in der Menschen mit der Umwelt interagieren, und bietet ein neues Kommunikationsmedium für Menschen, die nicht effektiv kommunizieren können. Zu seinen weiteren Erfindungen gehören das Projekt TAR-Teaching Through Augmented Reality, Hilfstechnologie für Hörgeschädigte und Sehbehinderte, Anti-Verkehrsstausystem und Air Mouse. Derzeit befasst er sich damit, die Leistungsfähigkeit von Quantum Computing allen Menschen verfügbar zu machen. Viel Spaß mit dieser Folge von der Rise of AI in Berlin mit Monishwaran Maheswaran!

In today's T-Suite Podcast, a talk with “Content Wrangler” Scott Abel shows how far cognitive computing has progressed since 2016.

This episode in so many ways is a reminder for us. It is a reminder that you can accomplish and do whatever you set your mind to, regardless of your age. Monish's story is a trail-blazing example of how small nudges in one's childhood can transform someone. Monish, age 18, is one of the youngest Computer Scientists working in the field of Deep learning, Cognitive Computing, and Cloud Computing. Monish, a child prodigy, excelled in several Olympiads and went on to pursue research in mathematics at Harvard University. Over the past several years, Monishwaran has developed numerous projects, using Artificial Intelligence, that target the field of healthcare ranging from accelerating the diagnosis of Schizophrenia to combating Malaria using blood diagnosis. Monishwaran has been invited by several universities to give Master Classes and Guest Lectures in the field of Artificial Intelligence and Quantum Computing. Besides, he is a TEDx speaker, and keynote speaker at several international tech conferences. Monishwaran aims to spread the knowledge of computer programming and guide novice developers and children through his books and lectures. His project, The Neural Connect, uses deep learning to change the way humans interact with the environment and provides a new communication media for people who can't communicate effectively. His other inventions include Project TAR-Teaching Through Augmented Reality, Assistive technology for the Hearing and Visually Impaired, Anti-traffic congestion system, Air mouse. He is currently involved in bringing the power of Quantum Computing to the hands of common people. "I made a washing machine when I was in primary school, by 8 I was proficient in 3 programming languages (!!) My life long curiosity to know about how things work started at an early age when my dad and I used to dismantle and put together various machines around the house." Monish was moved after he witnessed an accident of a visually impaired individual and wondered how the technologies that he was so taken to, could help. As someone familiar with Machine Learning(ML), he set out to build an ML-Computer Vision based interface that provided voice feedback to the user augmenting their auditory abilities. Monish says, "my goal is to use technology to improve the lives of people." The projects he's worked on range from computer vision for the blind to tools that aid doctors in diagnosis of neurological conditions like ALS and Parkinsons in collaboration with India's leading mental health institutes NIMHANs. "Everyday, I say to myself, have I done something to improve the life of another person?" Learn More and Reach Out - Twitter: https://twitter.com/sudomonish Instagram: https://www.instagram.com/monishwaran/ Email: monishwaran2000@yahoo.com   Follow The Passion People Podcast on Twitter You can follow us and leave us feedback on Facebook, Instagram, and Twitter @eplogmedia, For advertising/partnerships send you can send us an email at bonjour@eplog.media. If you like this show, please subscribe and leave us a review wherever you get your podcasts, so other people can find us. You can also find us on https://www.eplog.media/thepassionpeoplepodcast DISCLAIMER: The views expressed on all the shows produced and distributed by Ep.Log Media are personal to the host and the guest of the shows respectively and with no intention to harm the sentiments of any individual/organization. The said content is not obscene or blasphemous or defamatory of any event and/or person deceased or alive or in contempt of court or breach of contract or breach of privilege, or in violation of any provisions of the statute, nor hurt the sentiments of any religious groups/ person/government/non-government authorities and/or breach or be against any declared public policy of any nation or state. See omnystudio.com/listener for privacy information.

ISG (Information Services Group) is a leading global technology research and advisory firm. A trusted business partner to more than 700 clients, including 75 of the top 100 enterprises in the world, ISG is committed to helping corporations, public sector organizations, and service and technology providers achieve operational excellence and faster growth. The firm specializes in digital transformation services, including automation, cloud and data analytics; sourcing advisory; managed governance and risk services; network carrier services; technology strategy and operations design; change management; market intelligence and technology research and analysis. Founded in 2006, ISG employs more than 1,300 professionals operating in more than 20 countries—a global team known for its innovative thinking, market influence, deep industry and technology expertise, and world-class research and analytical capabilities based on the industry's most comprehensive marketplace data. On today's tech podcast, I chat with Barry Matthews Partner and Head of Northern Europe at ISG. Barry is leading an amazing team of digital architects, helping their clients to select and implement the right technology to meet their specific business needs. With Specialties including Digital Transformation, Automation, Cognitive Computing, Artificial Intelligence, Networks, Hardware and Software, and Robotic Process Automation, why I have left it 700 episodes before getting him on the show? So I finally invited him on the show today to learn from his expertise and insights. We talk about the impact of technology on business and cover cloud and as a service, agile, automation and platforms and how combining all of these can be transformative when done well. We also discuss how to source new technologies at enterprise scale and successfully incorporate them into a global business. Finally, Barry shares his best advice for businesses looking to leverage the latest technologies. Think big, start small and scale fast.

In this episode, host Dr. Bob Kaiser, director of the master's degree program in healthcare leadership and management for professionals at the Naveen Jindal School of Management chats with Joan Butters, co-founder and CEO of Xsolis, a healthcare technology firm based in Nashville, Tenn.  Inefficiencies in information sharing between healthcare providers and payers are one of the major problems driving high costs in the industry. Butters and Kaiser discuss the roles that high-tech tools such as cognitive computing, artificial intelligence and data analytics can play in breaking down those silos.

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

INSIGHTS FROM THE EDGE EPISODE 4: What Makes Good AI   Insights from the Edge This podcast series brings you the latest legal trends and topics as Insight Attorneys sit down with industry experts to discuss hot legal topics. Explore our latest topics to stay informed. Episode 4: What Makes Good AI There's no question that artificial intelligence (AI) is making an impact in the legal industry. However, not all AI-enabled solutions are created equal. When you’re choosing what services to incorporate in your practice, you should be aware that there can be big differences in their effectiveness and efficiency. To understand what you should look for in legal AI solutions, it's important to know why artificial intelligence is necessary and what makes good legal AI. Hear from Tonya Custis, Research Director Center for AI and Cognitive Computing, and Adam Riley, Insight Attorney, from Thomson Reuters on what’s driving the use of AI for lawyers and the key components that are needed to deliver good legal AI. Insights Attorneys – a new era in legal research support Our tradition of excellence set by our Reference Attorneys has evolved to the next level of support. To ensure that Westlaw Edge customers get the most out of your subscription, we have a team of Insight Attorneys that are uniquely trained on analytics, artificial intelligence, and big data to assist you with your research needs. Learn more.

In this episode of the “Peer to Peer” podcast series with Dr. Vincent A. DeLeo, Dr. Babar Rao highlights the increasing role of artificial intelligence (AI) in dermatology and explains how cognitive computing, which mimics human thought processes to analyze data, can support clinical decision-making and physician-patient interactions. He also discusses clinical scenarios in which AI can be implemented to improve patient outcomes, including hair transplantation, skin cancer evaluation, and electronic medical records, and forecasts the future of AI in the field of dermatology.

  In July, Thomson Reuters unveiled Westlaw Edge, the next generation of its legal research platform that uses artificial intelligence and advanced analytics to help legal professionals find answers and perform research more efficiently. The engineering of the AI that went into that was spearheaded by Dr. Khalid Al-Kofahi, vice president of research and development at Thomson Reuters and head of the company’s Center for Artificial Intelligence and Cognitive Computing in Toronto. Al-Kofahi joins host Bob Ambrogi to debunk some of the myths around AI in law and to discuss why building AI is harder than many lawyers realize. He says that three keys to the quality of an AI product are quality of the editorial inputs used to train the system, quality of the data that underlies the system, and subject-matter expertise by the team building the system. A 20-year veteran of Thomson Reuters, Al-Kofahi has led the development of many advanced technologies that power products across Thomson Reuters, including natural language processing applications to mine information from text, large-scale text classification, recommender systems, vertical search, named entity extraction and resolution, question answering, language generation and summarization. Al-Kofahi has a doctorate in computer engineering from Rensselaer Polytechnic Institute, a master’s degree in computer engineering from Rochester Institute of Technology, and a bachelor’s degree in electrical engineering from Jordan University of Science and Technology in Jordan. Comment on this show: Record a voice comment on your mobile phone and send it to info@lawnext.com.

Logan Breed, a partner with Hogan Lovells’ Antitrust practice, sits down with Daniela Combe, Vice President and Assistant General Counsel at IBM.They talk about the explosion of data, the emergence of AI and cognitive computing – and the evolving relationship between in-house and outside counsel.

Today's Device Squad, the podcast for the mobile enterprise from Propelics, comes to you live from the AI World Conference & Expo in Boston (https://aiworld.com/) where the word of the day is Data Labeling. Join Steve on his quest to figure out why companies need to create their own discrete labelled data set rather than everyone working towards creating a single, universal labelled data set that encompasses all knowledge. Plus, learn all about the Achilles heel of Machine Learning (i.e. the time and effort of finding the data to label), find out about Cognitive Computing and Knowledge Engineering, learn how AI is giving tech jobs to the poor, and much more. This episode features interviews with the following leaders in AI and Machine Learning: IBM Power9 https://www.ibm.com/it-infrastructure/power/power9 IBM Watson https://www.ibm.com/watson/ Data Robot (Dow Jones) - “democratizes predictive analytics” - Machine learning data analytics and predictive modeling (using the customer's data) https://www.datarobot.com/ Lux Research http://www.luxresearchinc.com/ iMerit - “AI-Enabled Services” - Human-Empowered Computing https://imerit.net/ Alpho the work bot???? - answers your business questions for you (we didn't quite get this one) Affectiva - in-app Emotion detection https://www.affectiva.com/ Presagen - Human behavior Automation https://www.presagen.com/ UIPath - Robotic Process Automation - drag n drop workflow for computers (not robots) https://www.uipath.com/ Voice-base - Speech analytics for the Cloud https://www.voicebase.com/ SFL Scientific - Professional Services Company - for Data Science & AI Solutions https://sflscientific.com/ Alegion - High volume data labelling and annotation, Crowdsourcing Automation for AI Training Data https://alegion.com/

Bruce Weed I Navigating Disruptive Technologies: an exploration of AI, Big Data, Cognitive Computing, Blockchain and IoT Bruce Weed Our conversation with Bruce Weed covered a lot of ground around disruptive technologies – with a central point that the most significant innovations are coming from the combination of IoT, AI/Cognitive and Blockchain used in combination. Bruce helps simplify the concepts around IoT, AI and Blockchain, and provides a wealth of tips, insights and resources for individuals and companies starting out on their journey. Our conversation covers the basics and the nuances of these technologies, tracing the developmental arc of technology and industries, and providing many practical examples of use cases for AI and Blockchain in an IoT context across health care, supply chain, manufacturing and other industries.

Craig Shoneman is an Offering Management Director in the IBM Talent Management Solutions Business. Craig has a passion for bringing change to HR and talent strategy and has been doing that since 2010 when he joined Kenexa.  He is responsible for defining the strategy and roadmap for IBM’s talent acquisition and Watson Talent capabilities. Craig and his team of offering managers are currently focused on developing a new breed of talent solutions that leverage the power of cognitive computing to complement core solutions in the existing HR technology stack. Craig has worked in the enterprise software space since 1997 in various roles including consulting, sales, product marketing and product management.  Craig has been focused specifically on the talent management space since he joined Salary.com as a product manager in 2008. In 2010 Craig joined Kenexa and led the strategy and product management team for BrassRing, Kenexa’s(and now IBM’s) flagship applicant tracking system.  Since joining IBM in 2012 via the Kenexa acquisition, Craig oversaw the expansion of the talent acquisition portfolio to include sourcing, career development, and AI based capabilities. Mr. Shoneman holds a Bachelor of Science degree in Marketing from Pennsylvania State University. Outside of work, Craig chairs the outreach committee at his local church, helps out coaching his son’s soccer team and generally loves spending time with family.

Patricio Julian Gerpe, A High-Tech Entrepreneur, Co-CEO Of Siuk– An Automation Solution Company, Co-Founder of The Argentine AI Community (Named IA AR), Writer and Start-Up Mentor-Based in the United Kingdom Participates in Risk Roundup to Discuss – Understanding Cognitive Computing. Understanding Cognitive Computing Over the years, the computing systems have delivered tremendous benefits to individuals […] The post Understanding Cognitive Computing appeared first on Risk Group.

Our Guest Mentor: Peter Chisambara is the founder of ERPM Insights a management consultancy and training firm based out of Johannesburg, South Africa that is focussed on delivering enterprise performance improvement solutions. Peter was also nominated recently on not one but two separate lists of top finance leaders to follow in 2018 and has written some thought provoking and original articles on the potential of cognitive computing to help provide real time insights. Key Points From the Episode: • Discussion on the digital age and the fourth industrial revolution and what it means for accounting & finance. • Defining what cognitive computing is and how finance & accounting can benefit. • Review of the 5 challenges cognitive computing pose for accounting & finance and actionable ways we can overcome them. • Some practical tips to develop a meaningful presence on LinkedIn. If you enjoyed this episode, check out our time-stamped show notes, key quotes, resources and ways to connect with our guest mentor and more at sitnshow.com/podcast/010.

Audio clip: Adobe Flash Player (version 9 or above) is required to play this audio clip. Download the latest version here. You also need to have JavaScript enabled in your browser.AudioPlayer.embed("audioplayer_24", {soundFile:"http%3A%2F%2Fsupplychaininsights.com%2Fwp-content%2Fuploads%2Fpodcasts%2FCognitive_computing_on_sourcing_with_Richard_Barnett_of_Levadata-episode_230.mp3"}); Cognitive computing is transforming digital supply chain capabilities. In this episode, we interview Richard Barnett, SVP of LevaData Inc. on the application of machine learning and cognitive computing for sourcing. Richard’s focus is on change transformation and building organizations that can use new forms of analytics. Straight Talk With Supply Chain Insights – Podcast episode #230

Since it’s the week of Thanksgiving in the US and there’s little news to be found, this week on the podcast we’re going to do a “Best Of” episode from interviews we’ve conducted on the podcast over the last six months. (3:00) First we have Bryan Harkins, head of US equities and global FX at Cboe Global Markets, talking about the firm’s acquisition of Bats and how the exchange is attempting to launch a bitcoin futures contract. (6:50) Next, Oliver Harris, head of JPMorgan’s In-Residence Program, explains why the bank launched this fintech accelerator, and he gives two specific success stories to come out of the program. (17:45)Batting third, Marc Andrews, vice president of Watson Financial Services Solutions for IBM, explains how cognitive computing can help answer some of Mifid II’s regulatory challenges and then gives his thoughts on if an all-encompassing industry utility for AML/KYC is on the horizon. (23:30) Finally, Neal Pawar, chief technology officer at AQR, talks about the impact and growth of open-source projects in the capital markets and how his nearly $200 billion hedge fund is using these increasingly popular technologies to both improve its offering and to attract talent.

Intel Shift changes directions on this high impact conversation with 3 top thought leaders on analytics and AI. In this show Dez Blanchfield, Intel’s Bob Rogers and Montefiore MD Michelle Gong soundoff on AI and Analytics. Starting off with a discussion around the advances that have taken place in analytics over the past 5-10 years followed up with some insights from Bob Rogers, a Harvard phD on the differences between advanced analytics and AI. The conversation then turned to Dr. Michelle Gong who shared some fascinating ways the hospital is utilizing advanced analytics to improve patient care. One example included using data identifiers to better predict when patients would require the assistance of a clinician. The episode concludes with some best of breed advice from the panel on how to apply analytics and AI into your business today. Tune in to hear these great insights and more. Dez Blanchfield, Chief Data Scientist, Gara Guru As an Industry Analyst, Business & Technology Consultant, covering Digital transformation, Cloud, Big Data & Analytics, Internet of Things, Machine 2 Machine, Cyber Security, Cyber Risk & Resilience & Smart Cities, Dez has invested his professional career of some two and a half decades thinking out and influencing the development roadmaps of technology companies, aligning them to the customer experience demands and possibilities of forward thinking digital enterprises. He sits on and works with boards of government and private sector organisations, to help uplift the digital quotient of organisations as a thought leader and practitioner across a broad range of disruptive technologies. He enjoys assisting organisations to disrupt themselves before being caught on the back foot by emerging new entrants or competitors. Passionate about leveraging the possibilities of new and emerging technology business, he is currently focused on bringing the likes of Cloud, Big Data & Analytics, Machine Learning, Cognitive Computing, Robotic Process Automation, Cyber Resilience, Blockchain and Agile DevOps to organisations to ensure their enduring success. Michelle Ng Gong, MD, MS, Director of Critical Care Research, Division of Critical Care Medicine, Jay B. Langner Critical Care Service Department of Medicine, Montefiore Medical Center Dr. Gong is the Associate Director for Academic Affairs, the Director of Critical Care Research in the Division of Critical Care Medicine at Montefiore Medical Center and Professor in Medicine and Epidemiology and Population Health at Albert Einstein College of Medicine. After receiving an engineering degree at the University of Pennsylvania, Dr. Gong went on to earn a medical degree at the Yale University School of Medicine. She then completed her postdoctoral training at the Beth Israel Hospital in medicine and at the Brigham and Women’s Hospital in the Harvard Combined Program in Pulmonary and Critical Care Medicine. She also studied at the Harvard School of Public Health, receiving her Master’s degree in Epidemiology. Prior to coming to Albert Einstein College of Medicine and Montefiore Medical Center, she was Assistant Professor of Medicine in the division of Pulmonary, Critical Care and Sleep Medicine at the Mount Sinai School of Medicine. She joined the Einstein/Montefiore faculty in July 2009. Dr. Gong is recognized nationally and internationally for her expertise in critical care research. A model clinician-researcher, her scientific projects influence her clinical care, and her patients influence her research. Her overall research focus has been on the prediction and prevention of acute critical illness and their complications. Continuously funded by the NIH for over 16 years for her research, her current projects range from acute respiratory distress syndrome (ARDS) to prevention of delirium, treatment of severe influenza and the development of new electronic acute care interfaces. Bob Rogers, PhD, Chief Data Scientist, Big Data Solutions, Data Center Group Bob Rogers, PhD, applies his experience solving problems with big data and analytics to help Intel build world class customer solutions. Prior to joining Intel, Bob was co-founder and Chief Scientist at Apixio, a big data analytics company for healthcare. He believes that accurate understanding of patient clinical and genomic data, physician behavior, and the characteristics of the healthcare delivery network are foundational to a better future for healthcare, and that Big Data analytics is essential to driving this transformation. Bob began his career as an astrophysicist, developing computer models of physical processes near super-massive black holes. He became interested in computational intelligence and incorporated research on artificial neural networks into his academic work. He co-authored the book “Artificial Neural Networks: Forecasting Time Series,” which led to a twelve-year career managing a quantitative futures trading fund based on computer models he developed. In 2006, Bob transitioned into healthcare at Carl Zeiss Meditec, where he was responsible for new product development for the diagnostic device that is the global standard of care for glaucoma. He received his BS in Physics at UC Berkeley and his PhD in Physics at Harvard.

Max is joined by Mark Bishop; Professor of Cognitive Computing at goldsmiths where he leads the tungsten centre for intelligent data analytics. With an esteemed career in AI Professor Bishop is a former chair of longest running society for the study of Artificial Intelligence known as AISB. He is renowned for his views about the nature of true intelligence and is often described as an AI sceptic.

Because they are unfamiliar with the technology, many lawyers are nervous about the growing popularity of artificial and augmented intelligence. However, others are welcoming the changes this technology will bring to the practice of law. In this episode of The Digital Edge, hosts Sharon Nelson and Jim Calloway talk to Brian Kuhn, global co-leader for the IBM Watson legal practice, about why lawyers should be interested in cognitive computing (or augmented intelligence) and how legal professionals are currently using IBM Watson and other AI technologies. They also discuss blockchain and how it works together with AI. Brian Kuhn serves as the global co-leader for the IBM Watson legal practice driving global strategy and execution across clients, legal markets, and internal groups. Special thanks to our sponsors, ServeNow, Scorpion, Answer1, and Clio.

I spoke with Brian Kuhn and Shawnna Hoffman, the Global Leaders and Co-Creators of IBM Watson Legal. The duo delivered the day two keynote address at the 2017 ILTA Conference called – Transforming the Business of Law with Cognitive Computing: Watson Legal. We discussed the impact of AI on the business of law, the practical applications of that technology, which include reducing outside counsel spend and data reuse, and where the industry is headed.

I spoke with Brian Kuhn and Shawnna Hoffman, the Global Leaders and Co-Creators of IBM Watson Legal. The duo delivered the day two keynote address at the 2017 ILTA Conference called – Transforming the Business of Law with Cognitive Computing: Watson Legal. We discussed the impact of AI on the business of law, the practical applications of that technology, which include reducing outside counsel spend and data reuse, and where the industry is headed.

I spoke with Brian Kuhn and Shawnna Hoffman, the Global Leaders and Co-Creators of IBM Watson Legal. The duo delivered the day two keynote address at the 2017 ILTA Conference called – Transforming the Business of Law with Cognitive Computing: Watson Legal. We discussed the impact of AI on the business of law, the practical applications of that technology, which include reducing outside counsel spend and data reuse, and where the industry is headed.

Brian Kuhn, founder of IBM Watson Legal, addressed key misconceptions around artificial intelligence and cognitive computing in Tuesday’s keynote at ITLACON 2017.  Kuhn talked with David Curle, Thomson Reuters director of market intelligence,  and shared insights from business-of-law use case workshops IBM conducted with corporate legal departments and law firms over the last two years. He discussed patterns of customer interest and success related to the application of artificial intelligence and cognitive computing to the legal domain, and what everyone needs to know about what AI can — and can’t — do.

What if you had a way to look over your entire supply chain, predict problem areas, and stop disruptions before they ever happen? It may sound like wizardry but IBM Watson Supply Chain just might give your business that very real ability. Joanne Wright, Vice President of IBM Supply Chain joins me to explain how Cognitive Computing is poised to be a truly revolutionary game-changer in the supply chain. FOR MORE INFO ON IBM WATSON SUPPLY CHAIN: https://www.ibm.com/watson/supply-chain/ WANT TO RESPOND TO THIS EPISODE? Call our Dialog Line: 888-878-3247 DOWNLOAD THE NEW INBOUND LOGISTICS APP featuring the 2017 Logistics Planner! Available on iTunes and the Google Play Store: http://bit.ly/ILMagApp   http://bit.ly/ILMagAppGoogle  Are you a #logistics Thought Leader that would like to be featured on the Inbound Logistics Podcast?  Connect with me on Twitter:  @ILMagPodcast Email me: podcast@inboundlogistics.com   Connect with Inbound Logistics Magazine on LinkedIn: www.linkedin.com/company/inboundlogistics Follow us on Twitter: www.twitter.com/ILMagazine Like us on Facebook: www.facebook.com/InboundLogistics Catch our latest videos on YouTube: www.youtube.com/inboundlogistics   Visit us at www.inboundlogistics.com

A few weeks ago, Jeff walked us through his perspective on the State of Search. In that conversation, Cognitive Search came up a number of times as an area that defines a next great wave of innovation coming in the search space. Today we have two fantastic guests with us on the show to help us better understand what is going on in this area. Hadley Reynolds and Sue Feldman are co-founders and managing directors of the Cognitive Computing Consortium, they are both eminent analysts deeply versed in search and have much to teach in the role cognitive computing has in the rapidly evolving search space. Links & Notes Cognitive Computing Consortium Connect with Sue Feldman on LinkedIn Connect with Hadley Reynolds on LinkedIn The Answer Machine: Synthesis Lectures on Information Concepts, Retrieval, and Services by Susan E. Feldman

On today's episode, we go on location to the IBM office in New York City. While in the mothership of cognitive computing, we spoke to two senior members of the IBM Watson Health team – Zaher El-Assi and Nish Parekh. IBM Watson Health is pioneering a new partnership between humanity and technology with the goal of transforming global health. So we talked to them about IBM Watson Health's capabilities, the future of cognitive computing, and how this technology is changing our lives and the healthcare industry. Zaher El-Assi is the Vice President, Go To Market Transformation at IBM Watson Health, and Nish Parekh leads the Client Success team IBM Watson Health. Learn more about IBM Watson Health: http://www.ibm.com/smarterplanet/us/en/ibmwatson/health Leave a review and let us know what you think about this episode. And don'€™t forget to subscribe to the Healthy Perspective Podcast so you never miss an episode. #pnphealthyperspectives Note: Patients & Purpose was formerly known as CDMiConnect

Digital transformation is part of the core strategy for many companies. Today, however, transformation involves not just organizational change but platforms, ecosystems, and technologies that enable organizations to use data in new ways. This episode explores the transition to new business models -- simplifying without gaining complexity -- using machine learning and cognitive computing as a foundation.

Dez Blanchfield talks with Bob Hayes about the show in Las Vegas, general thoughts on the keynotes and breakout presentations, the key topics and takeaways, Data Science, Machine Learning, Customer Experience & Customer Satisfaction, Cognitive Computing, Cloud Computing, Big Data.

IBM InterConnect 2017 Podcast Series - Dez Blanchfield talks with Steve Ardire about the show in Las Vegas, general thoughts on the keynotes and breakout presentations, the key topics and takeaways, Artificial Intelligence, Cognitive Computing, Cloud Computing, Big Data, Thought Leadership and connecting people with data.

Digital transformation is part of the core strategy for many companies. Today, however, transformation involves not just organizational change but platforms, ecosystems, and technologies that enable organizations to use data in new ways. This episode explores the transition to new business models -- simplifying without gaining complexity -- using machine learning and cognitive computing as a foundation.

Special Episode - A second report from IBM Amplify on Watson Marketing and Cognitive Computing. Drew Neisser talks with Amber Armstrong, IBM Director of Digital Amplification and Demand Generation. Explore the future of marketing and customer experience by delivering just the right content at the right time.  

In this week's episode, Travis and Stewart interview the CMO of IBM Watson, Stephen Gold. We talk about cognitive computing, A.I., machine learning, and more, discovering how long we have before the robots take over (just kidding). In the news, we reveal funding rounds for two A.I. marketing tools, talk about the Snapchat IPO aftermath, Instagram's latest Snapchat-a-like feature, and touch on the Wikileaks Vault 7 disclosures. Better keep that webcam covered, right Travis?

Audio clip: Adobe Flash Player (version 9 or above) is required to play this audio clip. Download the latest version here. You also need to have JavaScript enabled in your browser.AudioPlayer.embed("audioplayer_66", {soundFile:"http%3A%2F%2Fsupplychaininsights.com%2Fwp-content%2Fuploads%2Fpodcasts%2FNew_Ways_of_Working-episode_208.mp3"}); The old ways of demand planning are becoming increasingly less effective. It is time for companies to push the limits and redefine the “art of the possible.”  In this podcast Lora and Helen discuss the opportunity many supply chain leaders are faced with today by leaving old ways behind and adopting new ways of working into the supply chain. Straight Talk With Supply Chain Insights – Podcast episode #208

Audio clip: Adobe Flash Player (version 9 or above) is required to play this audio clip. Download the latest version here. You also need to have JavaScript enabled in your browser.AudioPlayer.embed("audioplayer_72", {soundFile:"http%3A%2F%2Fsupplychaininsights.com%2Fwp-content%2Fuploads%2Fpodcasts%2FBlockchain_and_Cognitive_Learning-17_Use_Cases-episode_205.mp3"}); Helen King, Marketing Manager at Supply Chain Insights, interviews the company’s Founder, Lora Cecere, and discusses two recent blog posts penned by Lora. Among the two posts Lora describes 17 use cases for new technologies associated with Blockchain, and cognitive computing. The blog posts, which are available on her supplychainshaman.com web site, are: “Seven Use Cases for Hyperledger in Supply Chain” and “Not the Jetsons: Ten Use Cases for Cognitive Learning in Supply Chain.” Straight Talk With Supply Chain Insights – Podcast episode #205  

Join us as we talk cognitive computing with Dr. Dahagam with IBM Watson Health

Michelle Snyder leads all corporate marketing, brand development, marketing communications and public relations activities for Welltok. She is recognized as a marketing and strategy leader in the digital health space. She was most recently an Executive-in-Residence at InterWest Partners, investing in digital health companies and serving as an advisor to InterWest portfolio companies. She was also one of the early executives at Epocrates and worked for over a decade to build the company into one of the leading mobile healthcare technology companies and the most recognized technology brand among clinicians. Previously, she worked as a health strategy consultant with the Wilkerson Group and in health policy formation and implementation with the Lewin Group and the Georgetown Center for Health Policy Studies. Michelle earned her bachelor's degree from Carleton College and MBA from Kellogg School of Management at Northwestern University. 00:00 Defining Artificial Intelligence within the Healthcare Space. 03:45 What AI training is. 05:00 Why asking questions is key. 05:30 Who is Watson? 06:50 How Watson trains in real-time with consumer feedback. 07:45 The advantage of having an AI answering consumer questions instead of a live medical professional. 08:20 The benefits of Cognitive Computing. 09:10 How AI has the potential to Personalize Healthcare. 10:50 Welltok's shortlist of things to improve. 12:30 How Watson can help consumers achieve their dietary goals. 13:40 How Predictive Analytics and Artificial Intelligence go together. 14:40 Getting the right people to the right platform. 16:00 Figuring out High Risk Patients by analyzing a consumer's personal viewpoints. 18:15 Predicting Patient Receptivity. 19:50 How Welltok's platform works, even in the absence of Watson. 23:00 Offering a unique and relevant pathway. 25:00 Mapping out what is most important. 27:00 How varying rewards can affect Patient Engagement. 28:50 Why Michelle uses the term ‘Consumers,' not ‘Patients.' 31:00 “30% of your health is genetic factors, but 70% is environmental.” 32:00 The difficulty in building a Health Platform around the idea of a Consumer, not a Patient. 33:00 You can find out more at www.welltok.com, or by emailing Michelle at optimizedhealth@welltok.com.

Episode 22 - Andrea Chiappe, Director of Innovation at Systemware, discusses opportunities in the convergence of analytics, cognitive computing and machine learning. Plus Claudia Kieran, Corporate Senior Accountant at Wildman Business Group, tells us about their efforts at Wildman to become more paper free, and how they did it. AIIM.org/podcast Host, Kevin Craine

This week David and Rich sit down with Arrow Bandwidth favourite, Andrew McLean from Compare the Cloud. They chat the importance of cognitive computing, the future landscape and conclude how channel partners can take advantage of the opportunity. Amazon's Alexa also drops in to express her opinion... Visit our blog for show notes and referenced articles www.arrowthehub.co.uk/blog/?category=5610 Hosts: David Fearne (@davidfearne. Special Guest: Andrew McLean (@MrAndrewMcLean) Join in the conversation by using #ArrowBandwidth.

Human-like intelligence is increasingly being used in the next generation tools and applications used by HR. Data-driven cognitive systems are offering an alternative to human intuition to select employees and determine their working styles. And, HR leaders are using cognitive systems to support workforce decision making. Susan Steele, Executive Partner, Global Talent & Change Center of Competency at IBM discusses how cognitive computing is impacting HR.

Flightradar24 and Skysense collaborate on ADS-B for drones, Boeing establishes the Collaborative Autonomous Systems Laboratory, Kansas chooses an unmanned aircraft director, Eurotunnel employs UAVs, implications of AI, and DJI updates its geofencing capability. Flightradar 24 and the Skysense BCON1 News The Site That Lets You Track Planes In Real-Time Wants to Track Drones Too Flightradar24 and Skysense are partnering to bring ADS-B solutions to drones. Flightradar24 is investing capital in Skysense, who will use the investment for product development. Skysense has been developing small, lightweight ADS-B OUT boards for small UAS and manned aircraft. They call their BCON1, “the world's lightest, most energy-efficient and smallest ADS-B OUT device for drones.” Boeing Opens Collaborative Autonomous Systems Laboratory in Missouri The new 8,100-square-foot Collaborative Autonomous Systems Laboratory (CASL) will conduct research to test hardware and software that makes autonomous vehicles work together more effectively as a team or unit. The Lab will work with academic institutions, research partners, government agencies. Kansas names Air Force veteran first unmanned aircraft director Kansas has chosen Bob Brock to be its first director of unmanned aircraft systems, reporting to the state's director of aviation. Brock had a 22-year career in the Air Force and held positions in intelligence and special operations units utilizing drones. He'll help develop drone-related businesses, ensure safe operation of drones by individuals and companies, and developing a plan with the Department of Commerce and the Department of Agriculture to bring jobs to Kansas. Drones deployed to keep migrants and refugees out of Channel Tunnel amid warnings of post-Brexit surge Eurotunnel operates the 30-mile tunnel between Britain and France, and they had already been thinking about tracking people seeking asylum. With the Brexit vote, they are even more concerned about migrants passing through the tunnel before it becomes more difficult to get into Britain. To help address this, Eurotunnel has demonstrated using small surveillance drones equipped with thermal imaging cameras if they believe people are in the 18-mile secure zone surrounding the tunnel entrance in France. Is AI The Worst Mistake In Human History? This LinkedIn “Pulse” article by John Battelle looks at the possible implications of a world dominated by Artificial Intelligence, also called Machine Learning and Cognitive Computing. DJI makes it easier to keep your drone out of no-fly zones DJI is making improvements to the geofencing system employed by its Phantom and Inspire drones. Permanent and temporary flight restrictions are included, as well as a process to unlock the geofence when that is necessary. Connecticut father, son fight Federal Aviation Administration over gun-firing, flame-throwing drones A teenager and his father are refusing to comply with subpoenas ordering them to provide information about the videos they posted. They claim the subpoenas violate their constitutional rights, and they question the FAA's authority to regulate recreational drones. During questioning for an unrelated assault event, police seized the teen's phone and reportedly found material that could lead to felony charges. Video of the Week Salmon Seining Listener Josh Jarvis is a commercial fisherman in Southeast Alaska who started flying drones in 2013. After receiving encouraging feedback about his video clips on Instagram, he edited this video that shows commercial salmon fishing in Alaska. Josh has a video channel for his other drone video projects, all filmed with a Phantom 2 and a GoPro HERO3+. Feedback This X-shaped sensor will alert you to incoming drones, so you can freak out FAA Part 107 Frequently Asked Questions in Drone Law by Jonathan Rupprecht US sUAS/Drone Owner Maps      

Graham Tasman, Grant Thornton, presents at the 2016 Business Analytics, co-sponsored by the Center for Business Analytics and Greater Philadelphia Chapter of the Institute of Management Accountants Roundtable.

Boris Vishnevsky, IBM, presents at the 2016 Business Analytics, co-sponsored by the Center for Business Analytics and Greater Philadelphia Chapter of the Institute of Management Accountants Roundtable.

When you go to Harvard Business School and then to McKinsey company to work in private equity, there's really only one thing left to do - go to Silicon Valley and start an AI startup. At least, this is exactly what CEO Praful Krishna did when he moved to San Francisco to start Coseer, an AI company focused on understanding natural language and unstructured data. In this week's episode, we speak about where unstructured data lives in a business, and how a business can be changed if the right data is unlocked. Krishna also discusses his experience in how executives are making decisions around how or how not to leverage AI in their companies.

IBM Watson is bringing cognitive computing to education to bring personalized learning to kids around the world - transforming early childhood education to help kids grow smarter, stronger and kinder.

We are entering a new age in our relationship with technology, an age where our devices understand us as we communicate in human language. An age where machines know what we need before even we do. And an age where computers not only understand trends, but set them. At least, that's the pitch. So what is cognitive computing, why does it matter, how will it change the digital landscape, and what is the role of the digital strategist within it?

CEO Carla O’Dell and KM Research Program Manager Lauren Trees talked on the topic of cognitive computing and addressed some of the great questions submitted by our audience during the January 2016 KM community call Carla and Lauren hosted, entitled “KM in 2016 and Beyond: Questions and Predictions. Remember to follow us on Twitter @apqc!

BHL: Geek. Nerd. Tech. - In this episode Black Hollywood Live host Joe Braswell, Nando Velasquez and Akili Shine discuss technology for the week of November 15th, 2013. They open up with "Quick Hits" by talking about Snapchat turns down Facebook, Blockbuster closes- end of an era, 3-D printed guns, and Twitter revelation. Next up is "The Discussion" featuring Watson and Cognitive Computing. They wrap things up with "Console Wars!" with special call-in guest Chase Kolozi. [print_gllr id=4127]