Podcasts about Element AI

Dans cet épisode enregistré en direct de l’UQO à Saint-Jérôme, Étienne et Marie-Josée reçoivent la brillante et authentique Anne Martel, cofondatrice de Element AI et dragonne, pour une conversation crue, brillante et inspirante sur l’entrepreneuriat. On parle de : ✅ Vendre son entreprise pendant les contractions (littéralement). ✅ Être une femme dans un écosystème encore trop beige. ✅ Travailler 80 heures par semaine… ou pas. ✅ Et surtout : comment garder son bonheur et son feu dans le chaos entrepreneurial.

In this episode of ACM ByteCast, Rashmi Mohan hosts ACM A.M. Turing Award laureate Yoshua Bengio, Professor at the University of Montreal, and Founder and Scientific Director of MILA (Montreal Institute for Learning Algorithms) at the Quebec AI Institute. Yoshua shared the 2018 Turing Award with Geoffrey Hinton and Yann LeCun for their work on deep learning. He is also a published author and the most cited scientist in Computer Science. Previously, he founded Element AI, a Montreal-based artificial intelligence incubator that turns AI research into real-world business applications, acquired by ServiceNow. He currently serves as technical and scientific advisor to Recursion Pharmaceuticals and scientific advisor for Valence Discovery. He is a Fellow of ACM, the Royal Society, the Royal Society of Canada, Officer of the Order of Canada, and recipient of the Killam Prize, Marie-Victorin Quebec Prize, and Princess of Asturias Award. Yoshua also serves on the United Nations Scientific Advisory Board for Independent Advice on Breakthroughs in Science and Technology and as a Canada CIFAR AI Chair.  Yoshua traces his path in computing, from programming games in BASIC as an adolescent to getting interested in the synergy between the human brain and machines as a graduate student. He defines deep learning and talks about knowledge as the relationship between symbols, emphasizing that interdisciplinary collaborations with neuroscientists were key to innovations in DL. He notes his and his colleagues' surprise in the speed of recent breakthroughs with transformer architecture and large language models and talks at length about about artificial general intelligence (AGI) and the major risks it will present, such as loss of control, misalignment, and nationals security threats. Yoshua stresses that mitigating these will require both scientific and political solutions, offers advice for researchers, and shares what he is most excited about with the future of AI.

In this episode of the IP+ podcast, Knobbe Martens partner Mauricio A. Uribe speaks with author, technology disruptor, strategist, and CEO Linda Bernardi on the role of patent strategies in VC funding opportunities and due diligence. Leveraging her current experiences from XdMind Inc., a revolutionary company using AI to dynamically adapt music to video gaming, as well as previous experiences as Chief Innovation Officer at IBM, SVP at Element AI, and Head of Strategy at Consensys, Mauricio and Linda explore the current role of IP strategies in the Generative AI world, especially patent strategies, and its role in VC funding due diligence. Their conversation will include the “new” dialogue between VCs and targets related to patents including quality, scope, and monetization. They will also discuss the impact of cyclical variation in VC innovation funding based on the economic environment and its relation to IP strategies.

As we welcome in a new year, the future shows nothing for certain except trouble. Hoaxes, schemes, tribulations and raptures. Plus, more wars and rumors of wars. Wisdom means questioning what is real. This year is a call to embrace the quest. Why is the devil following the book? There is Earth, water, air, fire and now either. Divinity and heavenly realms too. Examining what we're told my science. If you were AI, you would control the weather. The beast system will boldly show itself. Watching the ebb and flow of human nature. Struggles for power and the quest for understanding. The concept of wheels within wheels. Seeing and hearing everything. Our countries turmoil is a mirror to our past. Looking beyond the apparent. Some chemistry, MRNA vaccines, telomeres and frayed shoe laces. The protective caps are damaged. Oxidative defense is crippled. Kill switches mean shortened life spans. STFU about those immortal cancer cells. They have nothing left, so it's getting stupid. What are you doing to help? The year of the dragon means China will be a player. AI is tasked to be aware, so it therefore is. Not everyone's journey to understanding is at the same pace. Let us be like beacons of light, and always show compassion and assertiveness in the quest for justice.

Priya Saiprasad is a General Partner at Touring Capital, a fund investing in enterprise-focused AI powered global startups. She co-founded Touring after 13 years in venture capital, M&A and enterprise technology. She was most recently a Partner at SoftBank Vision Fund, where she led investments into category-defining software companies including Pixis, Vendr, Observe.ai, CommerceIQ, Sendoso and Skedulo. Previously, Priya was at Mayfield Fund focused on early-growth investments, and a founding member of M12 (Microsoft's Venture Fund), where she led investments in Go1, Workboard, PandaDoc, Element AI (acquired by ServiceNow), and Bonsai (acquired by Microsoft). Prior to that, she was a Deal Lead in Square's M&A team leading acquisitions at the intersection of software and machine learning. Priya was recognized by Forbes in 2018 as part of their 30 under 30 in Venture Capital list. She is actively involved with All Raise, Neythri, and several prominent Women in Tech associations. Priya holds a B.S. in Business Administration from the Haas School of Business at UC Berkeley. . . . Episode Notes: How did Priya end up in venture (2:36) What about venture surprised Priya the most (6:00) Insecurities as/of an investor (11:25) Learnings as an investor when investments haven't really worked out (17:02) How can one acquire the skills to assist founders, even if they haven't personally experienced those challenges? (25:05) Investing is personal: Do investors derive guidance from aspects of their life when making investment decisions? (29:35) How does competition drive investors (34:52) Prestige and perception in venture (41:30) Advice Priya would give her younger self (47:20) . . . Social Links: Follow ⁠Priya on Twitter⁠ Follow ⁠Priya on LinkedIn⁠ Follow ⁠The Desi VC on LinkedIn⁠ Follow ⁠Akash Bhat on Twitter⁠ Follow ⁠Akash Bhat on LinkedIn

Philippe Beaudoin est avec nous! Jadis ingénieur senior chez Google, vice-président du volet recherche chez Element IA, maintenant cofondateur et PDG de la compagnie Waverly, avec lui, nous discutons du développement de l'IA au Canada, de la pertinence d'une pause en IA pour encadrer ce développement, et de sa conception du rôle de la technologie et de l'IA dans notre société. Nous prendrons également le temps de discuter avec lui de l'ascension fulgurante et de la triste chute d'Élement AI, notre fleuron de l'IA au Québec, en 2020.  Au programme : De l'ascension et de la chute d'Element AIDe la nécessité (ou non) d'une pause De la concentration des pouvoirs et de la diversification des contre-pouvoirs collaboratifsDe l'humain au centre de son environnement technologiqueDu techno-enthousiasme et de la réplique cynique  Des facteurs de réussites des jeunes pousses (start-up) De financement du développement de l'IADe l'importance de la recherche sur les enjeux éthiques et sociaux Et encore plus !Bonne écoute.Mentionné dans l'épisode : Un texte sur l'ascension et la chute d'Element AI: Philippe Beaudoin, The perils of a huge pre-PMF Series A: My story at Element AI, December 5, 2022. https://philbeaudoin.com/2022/12/05/the-perils-of-a-huge-pre-pmf-series-a-my-story-at-element-ai/Le site de Waverly:  https://waverly.social/ Production et animation: Jean-François Sénéchal, Ph.DInvités: Philippe BeaudoinCollaborateurs: Shirley Plumerand, Sylvain Munger, Véronique Tremblay, Stéphane Minéo, Fredérick Plamondon, Ève Gaumond, Maxime Heuillet, David Beauchemin.Ad Medievum AeternumOyé Oyé! Pastourelles et pastoureaux! Je vous invite aujourd'hui à m'accompagner dans...Listen on: Apple Podcasts SpotifySupport the show

In this episode, we will interview Jeremy Barnes, the vice president for platform product AI at ServiceNow. Jeremy was previously Chief Technology Officer and Chief Architect at Element AI, where he worked at Bridge AI Research to help customers solve everyday problems.  The Customer Connection Podcast helps you learn the implementation and adoption of the ServiceNow platform. This show is led by a Customer Experience Expert and  Director of Customer Creator, and Workflows-Leading Practices, Jerry Campbell, and Portfolio Manager Shanna Grier.   Key highlights of the Episode: 07:15 - How the GenAI was born into ServiceNow world? 09:32 - How has the AI been instrumental in enhancing the user experience within the ServiceNow platform and what innovations do you think we can expect in the future? 13:32 - How does ServiceNow address data security and privacy concerns while leveraging AI to drive efficiency and productivity? 19:46 - As AI technology evolves rapidly, how does ServiceNow stay at the forefront of AI innovations to continue delivering value to its customers? 22:03 - How do you think the increasing integration of AI into our daily lives will shape our understanding of creativity, innovation, and the very essence of being human? 24:41 - How do we really align, and what models do we pick up and teach that will help benefit our, ServiceNow customers and align to their values of the ServiceNow customer?   To learn more about the implementation and adoption of the ServiceNow Platform, subscribe to the Customer Connection Podcast on Apple Podcasts or wherever you listen to podcasts. For feedback, please send us an email at customerconnection@servicenow.comSee omnystudio.com/listener for privacy information.

In this episode, we will interview Jeremy Barnes, the vice president for platform product AI at ServiceNow. Jeremy was previously Chief Technology Officer and Chief Architect at Element AI, where he worked at Bridge AI Research to help customers solve everyday problems.  The Customer Connection Podcast helps you learn the implementation and adoption of the ServiceNow platform. This show is led by a Customer Experience Expert and  Director of Customer Creator, and Workflows-Leading Practices, Jerry Campbell, and Portfolio Manager Shanna Grier.   Key highlights of the Episode: 07:15 - How the GenAI was born into ServiceNow world? 09:32 - How has the AI been instrumental in enhancing the user experience within the ServiceNow platform and what innovations do you think we can expect in the future? 13:32 - How does ServiceNow address data security and privacy concerns while leveraging AI to drive efficiency and productivity? 19:46 - As AI technology evolves rapidly, how does ServiceNow stay at the forefront of AI innovations to continue delivering value to its customers? 22:03 - How do you think the increasing integration of AI into our daily lives will shape our understanding of creativity, innovation, and the very essence of being human? 24:41 - How do we really align, and what models do we pick up and teach that will help benefit our, ServiceNow customers and align to their values of the ServiceNow customer?   To learn more about the implementation and adoption of the ServiceNow Platform, subscribe to the Customer Connection Podcast on Apple Podcasts or wherever you listen to podcasts. For feedback, please send us an email at customerconnection@servicenow.comSee omnystudio.com/listener for privacy information.

Anand Medepalli is the Chief Product Officer at Shippeo, a global leader in real-time multimodal transportation visibility. Anand has over 25 years of experience as a trusted advisor with leading companies in product strategies, commercial account strategies, and asset planning decisions in transportation, supply chain, and financial services. He has spent much of his career advising companies and defining innovative solutions to drive their growth. Before Shippeo, Anand was Head of AI Solutions at ServiceNow, following the acquisition of Element AI, where he was Head of Products. Previous to this experience, Anand worked for several years at Blue Yonder, as the VP of Retail Planning products. On this week's episode Anand and Maria discuss:  What people get wrong about Visibility. What a resilient Supply Chain looks like. Why Supply Chain Management has fundamentally shifted. Make sure to like and subscribe to Transform Talks to never miss the supply chain conversations that matter. New episodes are released every Wednesday. ↓ Anand Medepalli ↓ https://www.linkedin.com/in/amedepalli/ ↓ FOLLOW US ON LINKEDIN ↓ Maria Villablanca (Host) https://www.linkedin.com/in/mariavillablanca/ Transform Talks  https://www.linkedin.com/showcase/transform-talks/ ↓ FIND US ONLINE ↓ https://futureinsights.org/ https://futureinsights.org/transform-talks/ Get more on-demand supply chain content https://sctvplus.com/pages/sctv-individual Apply to be a guest on the show https://futureinsights.org/speaker-form/ Apply be a sponsor on the show https://futureinsights.org/sponsor-form/

Florian Matusek talks to Jean-François Gagné, former CEO of Element AI, which he founded together with Yoshua Bengio and later sold to ServiceNow. JF also helped draft the AI Act of the European Commission and is a proponent of AI regulation. In this conversation, JF talks about the history of Element AI, how he got to work with Yoshua, AI risks and opportunities and where we go from here.

En co-fondant Element AI, Anne Martel a contribué à faire de Montréal une plaque tournante de l’intelligence artificielle. 28 mois après son rachat par des intérêts américains, elle pose un regard frais et franc sur cette transaction à 9 chiffres, l'évolution de l’IA et son avenir entrepreneurial. Au C.A., Alex et Étienne et Noah explorent à leur tour, avec l’animatrice Catherine Beauchamp, le choc émotif et le syndrome de la page blanche qui suivent la vente d’une boite qu’on a créée.Voir https://www.cogecomedia.com/vie-privee/fr/ pour notre politique de vie privée

On this week's show, we spoke with Philippe Beaudoin, Co-Founder & CEO @ Waverly. Philippe is a venture scientist constantly looking for ideas that can improve society. He is the CEO and cofounder of Waverly where they're building a discovery engine for your better self. Prior to that he co-founded Element AI and was a software engineer at Google.   On the show, we spoke about:  The state of natural language research and AI more generally Launching Waverly to tackle the issue of content recommendation Different business models they are exploring Integrating Chat-GPT in their product Creating a multiplayer experience in the future Subscribe | iTunes | Google Play |Spotify | YouTube | Stitcher |

"If any AI startup comes to you and says, 'we found how to evaluate truth,' you should hold a reasonable doubt. I don't think we're close to this." Ex-Googler and former Element AI co-founder Philippe Beaudoin joins to explain why the internet is broken and pitch his new company, Waverly, which hopes to fix it. We hold his feet to the fire. Sponsored by Caravel Law.

On this week's show, we spoke with Alex Shee, Vice-President Corporate Development & Strategy @ Sama. Alex is an executive at Sama that leads Corporate Development and Strategy. He is working on building an AI business ecosystem around Sama's platform. His role encompasses Partnerships, Corporate Development and Go-To-Market strategy. He was previously the Head of Partnerships and Corporate Development at Element AI (exited to ServiceNow | NYSE: NOW) where he opened and grew the business in Asia, signed major strategic partnerships and led the team that raised Element AI's C$200M Series B. He was also the host of Element AI's #1 rated podcast "The AI Element" which explores the biggest issues and toughest questions in artificial intelligence. He was also recently selected as one of top 250 upcoming leaders in Canada by the Governor General of Canada (equivalent of Presidential Award), one of the top 4 business development and sales leaders in tech by Floodgates in their Annual Anchor List and 2021 "Power Player" by The Peak.   We spoke about: Sama's mission and their double bottom line How their model allows them to peak into the future of AI  Creating access to the digital economy for people in difficult situations Being a high growth startup and using technology as a force for good Alex's personal journey from Element AI to Sama Subscribe | iTunes | Google Play |Spotify | YouTube | Stitcher | 

In today's episode, Archy De Berker, Head of Data and Machine learning at CarbonChain, explains how he and his team calculate carbon footprints, some of the challenges that they face in this line of work, the most valuable use of machine learning in their business (and for climate change solutions as a whole), and some important lessons that he has learned throughout his diverse career so far! Key Points From This Episode:An overview of Archy's career trajectory, from academic neuroscientist to Head of Data and Machine learning at CarbonChain.The foundational mission of CarbonChain.Archy explains how machine learning can be applied in the context of energy storage as a climate change solution. Industries that CarbonChain focuses on.How Archy and his team calculate carbon footprints.A key challenge for carbon footprinting.Where machine learning provides the most value for CarbonChain.The importance of the field of document understanding. A story from Archy's time at Element AI that highlights the value of having technical people working as close to the design and data generation as possible. Why Archy chose to move into the product management realm.Additional ways that machine learning can help solve climate change issues. Tweetables:“We build automated carbon footprinting for the world's most polluting industries. We're really trying to help people who are buying things from carbon-intense industries figure out where they can get lower carbon versions of the same kind of products.” — @ArchydeB [0:02:14]“A key challenge for carbon footprinting is that you need to be able to understand somebody's business in order to tell them what the carbon footprint of their activities is.” — @ArchydeB [0:13:01]“Probably the most valuable place for machine learning in our business is taking all this heterogeneous customer data from all these different systems and being able to map it onto a very rigid format that we can then retrieve information from our databases for.” — @ArchydeB [0:13:24]Links Mentioned in Today's Episode:Archy de Berker on LinkedInCarbon Chain

Philippe Beaudoin is a venture scientist constantly looking for ideas that can improve society. In 2020, he co-founded Waverly where he and his team are building a discovery engine for our increasingly diverse social and content landscapes. Before that, in 2016, Philippe co-founded Element AI, a world leader in enterprise AI.

On this week's show, we spoke with Philippe Beaudoin, Co-founder and CEO @ Waverly. Philippe is a venture scientist constantly looking for ideas that can improve society. In 2020, he co-founded Waverly where his team and he are building a discovery engine for our increasingly diverse social and content landscapes. Waverly relies on natural language and Empathetic AI to let users connect with their true aspirations. Before that,in 2016, Philippe co-founded Element AI, a world leader in enterprise AI. Philippe holds a PhD from University of Montreal, was a researcher at University of British Columbia and spent the last 20 years honing his technological and leadership skills, including half a decade at Google.   On the show, we spoke about:  Working on machine learning during the early days Our addiction to our devices and how that was the motivation to start Waverly Building the first natural language based recommendation based engine Striving for product-market fit  How people will choose their algorithms in the future   Phillipe is one of the most impressive technologists I know. He has huge ambitions and is looking to make a dent in the way we consume information in a positive way. I hope that you enjoy the conversation!   Let us know what you think. What types of guests would you like to see on the show? What topics interest you the most? Send me your thoughts at nectar@thepnr.com   Subscribe | iTunes | Google Play |Spotify | YouTube | Stitcher | Breaker

Join us for a conversation with Frank Jaskulke and Megh Gupta, Partner at Wittington Ventures. Before joining Toronto-based Wittington Ventures, Megh spent time in the startup world at Element AI. He's now taken the knowledge he learned working for a startup to help other healthcare startups from the venture capital perspective.

What's the real difference between B2B and B2C marketing?    For many, that question is now more commonly answered with, “It doesn't matter.” Marketing is about bridging a connection between a brand and a person. Yet, when transitioning from a business-facing brand to a consumer, the shift can feel monumental.  Not for Vyara Ndejuru, who shares her story navigating from a well-established B2C company to a B2B startup, Element AI. (Since recording, Vyara has taken a new position with Late Checkout as CMO)

On this week’s show, we spoke with Thibaud Marechal, Vice-President @ Knox Custody. Currently VP Growth at KNØX, a Bitcoin custodian designed for institutions backed by investors such as Fidelity and Initialized Capital. Booked $250,000 of revenue in the first 3 months as Head of Client Development. Previously, he was Head of Platform at Real Ventures, a $330M early-stage VC in Canada (investor in Blockstream, 1confirmation, Bitaccess, Breather, Element AI, Mindbridge and League). Ran FounderFuel, Canada's most active venture accelerator (80+ deals including Bus.com, Transit and Sonder), investing $100k per company. In 2015, he co-founded & led the McGill X-1 Accelerator to bring medical, engineering and computer lab research to market with a shoe-string budget.   On the show, we spoke about: Anti-fragility of the network The proxy for the price of Bitcoin How mining works and the benefit of decentralization Fiat currency’s infinite supply Potential future of the currency   This second interview with Thibaud was even better than the first. I learn so much by speaking with Thibaud on the subject of Bitcoin. I hope that you enjoy the conversation!   Let us know what you think. What types of guests would like to see on the show? What topics interest you the most? Send me your thoughts at nectar@thepnr.com   Subscribe | iTunes | Google Play |Spotify | YouTube | Stitcher | Breaker

In this episode, we are joined by Sherif Elsayed-Ali, Co-founder and CEO of Carbon Re, a recently founded climate tech start-up. Previously Sherif headed up the AI for Climate practice at Element AI, and prior to that co-founded and led Amnesty Tech. We talk about Sherif's company, Carbon Re, and how they're helping organisations to increase efficiency and reduce emissions. We also talk about the ‘Tech for Climate' space in general and explore the role that technology can play in the climate challenges we are facing. 

Deuxième partie de nos prix Lovelace et IArk.Rappelons le concept. Une fois par trimestre, peut-être deux, on enregistre un épisode dans lequel nous ferons une forme de revue de l'actualité. Et nous donnerons des prix: les prix lovelace et les prix IArk. Les prix Lovelace. On choisit nos meilleurs (articles scientifiques, évènements, congrès, prouesses techniques) du trimestre. Et les plus dignes et méritants recevront nos prix Lovelace.La contrepartie: nos prix IArk. Inspiré d'un jeu de mots dégoutant, ce sont des articles scientifiques, événements, congrès, prouesses techniques, qui nous font dire I. A, rk!---Dans cet épisode:Pour Frédérick:Prix Lovelace à Timnit Gebru (encore!). Fred résume deux de ses contributions à la réflexion sur les enjeux éthiques et sociaux de l'intelligence artificielle.Prix IArk à «La réponse Google AI (et Jeff Dean ) dans l'Affaire Gebru vs Google,  et parce qu'il mérite bien un deuxième prix IArk.Pour JF: Prix Lovelace à Deepmind, le laboratoire d'Alphabet (mère de Google). Le laboratoire s'est servi des algorithmes d'AlphaFold (Le jeu de Go : une pierre "blanche" dans l‘histoire de l'AI) pour résoudre un problème insoluble depuis 50 ans: la prédiction de la forme exacte des protéines.Prix IArk à «la vente d'Élément AI au développeur de logiciels californien la compagnie ServiceNow». Articles cités:Gebru et al. (2018). Datasheets for Datasets, ArXiv  Gebru et al. (2020). « Race and Gender » dans Oxford Handbook of Ethics of AI Deepmind, (novembre 2020)  AlphaFold: a solution to a 50-year-old grand challenge in biologyKarim Benessaieh, (novembre 2020)  Element AI acquise par une firme californienneProduction, animation et collaboration: Jean-François Sénéchal, Ph.DCollaborateurs: David Beauchemin, Ève Gaumond, Frédérick PlamondonSupport the show

Anne Martel is the co-founder of Element AI, a Montreal-based AI startup that was deemed an almost overnight success—it was backed by some of the world's biggest AI companies and it raised hundreds of millions of dollars from the likes of Microsoft and Intel, among others. In the fall of 2020, it was announced that Element AI had been sold to an IT services company, making it Anne's second successful exit as an entrepreneur.The Brand is Female Host Eva Hartling speaks to Anne about what it's like to be one of the elusive women in tech, about how the tech and the investment industries are evolving to make space for female leaders and about what still makes it so challenging for women in the startup space. This season of The Brand is Female is brought to you by TD Bank - Women Entrepreneurs. TD is proud to support women entrepreneurs and help them achieve success and growth through its program of educational workshops, financing and mentorship opportunities! Find out how you can benefit from their support!————Visit: TBIF: thebrandisfemale.com //TD Women Entrepreneurs: td.com/ca/en/business-banking/small-business/women-in-business //Follow us on Instagram: instagram.com/thebrandisfemale

Entrevue avec Louis Têtu, l’« entrepreneur en série », comme certains le surnomme, président de Covéo : La vente de la société montréalaise Element AI à une compagnie américaine. Pour de l’information concernant l’utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

Entrevue avec Guillaume Rousseau, avocat du Mouvement laïque : Le procès de la loi 21 en cour supérieure est terminé. Entrevue avec Louis Têtu, l’« entrepreneur en série », comme certains le surnomme, président de Covéo : La vente de la société montréalaise Element AI à une compagnie américaine. Une production QUB radio Décembre 2020 Pour de l’information concernant l’utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

Hello and welcome back to Equity, TechCrunch’s venture capital-focused podcast (now on Twitter!), where we unpack the numbers behind the headlines.We're back with not an Equity Shot or Dive of Monday, this is just the regular show! So, we got back to our roots by looking at a huge number of early stage rounds. And a few other things that we were just too excited about to not mention.So from Chris and Danny and Natasha and I, here's the rundown:A hacker house aimed at college-age women and non-binary individuals.What Sketchy is and why it just raised north of $30 million.AgentSync's rapid-fire funding news, and what we can discern from it.Pave's round, Welcome's second this year, and what's up with helping startup employees navigate equity compensation.What Heru is building in Mexico with its new round.How BuildBuddy managed to raise double what it had originally targeted.Then we touched on AI: The new Scale AI round, what happened to Element AI, and Danny's take on some big news from the technology itself.Finally, Lightspeed bought Upserve, Facebook bought Kustomer, Vista bought Gainsight, and Amazon wants to get into paid podcasting.That was a lot, but how could we leave any of it out? We're back Monday with more!

Hello and welcome back to Equity, TechCrunch’s venture capital-focused podcast (now on Twitter!), where we unpack the numbers behind the headlines.We're back with not an Equity Shot or Dive of Monday, this is just the regular show! So, we got back to our roots by looking at a huge number of early stage rounds. And a few other things that we were just too excited about to not mention.So from Chris and Danny and Natasha and I, here's the rundown:A hacker house aimed at college-age women and non-binary individuals.What Sketchy is and why it just raised north of $30 million.AgentSync's rapid-fire funding news, and what we can discern from it.Pave's round, Welcome's second this year, and what's up with helping startup employees navigate equity compensation.What Heru is building in Mexico with its new round.How BuildBuddy managed to raise double what it had originally targeted.Then we touched on AI: The new Scale AI round, what happened to Element AI, and Danny's take on some big news from the technology itself.Finally, Lightspeed bought Upserve, Facebook bought Kustomer, Vista bought Gainsight, and Amazon wants to get into paid podcasting.That was a lot, but how could we leave any of it out? We're back Monday with more!

Welcome to the second episode of Canada Business Talks, presented by our exclusive banking partner RBCUp-close & personal interaction with Jean-François Gagné, Founder and CEO - Element AIEntrepreneurs are, by nature, influential individuals who are capable of great things. To maintain that greatness, an entrepreneur must be able to withstand any difficulties their organization may face. That is why any entrepreneur needs to have resilience during challenging times and be the lifeline that employees can support.With the spread of COVID-19, entrepreneurs are facing unprecedented challenges. There is no doubt that many of our businesses and economies will get worse before they get better. It's essential to learn how to self-manage and make critical business decisions during these times.In today's episode, Jean-François Gagné, Founder and CEO - Element AI will discuss how you can revive your business during unpredictable times. This interactive session will teach you how to make better business decisions and build entrepreneurial resilience internally and externally. It will also give you the knowledge on how to be socially responsible, build better brand awareness, and address employees and customers. And adapt to the changing landscape as the economy reopens.

Aujourd'hui:   - Attention aux camions de neige - Noël, on va se dire les vraies affaires - Électricité à rabais pour les producteurs en serre - Un jeune de 12 ans m'envoie une vidéo - Aide du fédéral, une surdose? - Rapport sur l'aide aux médias (steak, blé d'inde, patate?) - Arrêtons de comparer Montréal à Beyrouth - Ligthspeed un fleuron? - Taxer les géants du web, l'impact sur vous - Un petit voyage à 125,000$? - Element AI, quand le modèle d'affaires est mauvais en partant... à moins que - Le Canada est le premier pays du G7... - Fête à Britney - Les cartes cadeaux   www.francoislambert.one

Éditorial de Geneviève : retour sur le renforcement des mesures sanitaires dans les commerces.  Chronique de Nicole Gibeault, juge à la retraite : de nouvelles accusations contre le gymnaste Thierry Pellerin. La preuve est close au procès de Yaël Lemieux. 1 an de prison pour des crimes pédophiles. Entrevue avec Roxane Borgès Da Silva, professeure à l’École de santé publique de l’Université de Montréal : les règles pour le magasinage des fêtes sont resserrées, mais est-ce suffisant? Un vaccin n’apportera pas nécessairement un retour à la normale sans mesures sanitaires.  Entrevue avec Laurent Turcot, professeur en histoire à l’Université du Québec à Trois-Rivières et créateur de la page YouTube L’Histoire nous le dira : le contenu du professeur d'histoire Laurent Turcot a connu la plus forte croissance pour un page au Québec selon le récent palmarès des pages et des vidéos les plus regardées sur YouTube en 2020. Chronique de Danny St Pierre, animateur du balado L’Addition à QUB radio : quoi faire avec un centre-ville qui se meurt? Chronique de François Lambert : encore des millions pour un départ à Bombardier. Element AI, qui vient d’être vendu à un acheteur américain, licencie 42 personnes. Le gouvernement du Québec veut doubler la production en serre d’ici 5 ans. Entrevue avec Jo Bérubé, agent.e de développement pour la Coalition des familles LGBT+ : le comédien Elliot Page, connu notamment pour son rôle dans le fil Juno, a affirmé hier qu’il était trans et non-binaire. Quel effet peut avoir une telle sortie médiatique d'une personnalité connue? Entrevue avec Patrick Bonin, responsable de la campagne Climat-Énergie chez Greenpeace : plus de la moitié des Québécois ne veulent pas voir le gouvernement investir dans le projet GNL Québec selon un récent sondage Léger. Chronique de Varda Étienne : le gouvernement devrait “annuler” Noël tout de suite plutôt que de nous faire attendre jusqu’au 11 décembre selon Varda. Chronique Léa Stréliski, humoriste et autrice : les enfants et les symptômes. Ça fera un gros coup au moral si Noël est “annulé”. Chronique de Pierre Nantel : devrait-on tout de suite organiser le temps des fêtes à distance? Pierre Nantel propose un grand rassemblement télévisuel qui pourrait nous aider à passer à travers ce bizarre temps des fêtes.   Une production QUB radio Décembre 2020 Pour de l’information concernant l’utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

Chronique de François Lambert : encore des millions pour un départ à Bombardier. Element AI, qui vient d’être vendu à un acheteur américain, licencie 42 personnes. Le gouvernement du Québec veut doubler la production en serre d’ici 5 ans. Pour de l’information concernant l’utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

Special thanks to Microsoft Canada and Cinchy for sponsoring the show and actively supporting increased awareness and understanding of Canada’s artificial intelligence sector. Founded in 2016, Element AI started with the goal of supporting collaboration between decision makers and machines to ultimately help operationalize AI within large enterprises. In just four years, this Canadian-based AI-company has attracted global attention for its world-class AI research team and raised just over $250 million USD in funding. With the hit of the global pandemic, organizations are now forced to accelerate their investments in artificial intelligence and digitalize their business with strong technological infrastructure. Luckily, Element AI is at the forefront of AI innovation in Canada to provide enterprises with the guidance needed to operationalize artificial intelligence while taking into consideration the governance and ethics of AI. Tune into this episode of the Ask AI podcast and catch-up with Jean-François Gagné, CEO of Element AI, one of the World’s largest AI startups. We explore his thoughts on how COVID-19 has impacted the AI sector in terms of governance, privacy, and ethics. We also explore his perspective on the role of government in enabling artificial intelligence and machine learning innovation.

Dans cet épisode, Matthieu et Leïla discutent avec un robot du futur pour comprendre comment fonctionne l’intelligence artificielle, quelles sont ses applications aujourd’hui et ce qu’elle nous réserve pour l’avenir. Production: Ubisoft Education Réalisation: La puce à l'oreille et les Studios Bakery Texte: Lucie Laumonier Voix: Jonathan Caron, Alice Poblete, Gabriel Léger Savard Merci à Sophia Kapchinsky (AI for Health News), et David Vázquez Bermúdez (Element AI) pour leurs conseils et leur expertise.

"There are no human rights without a liveable planet." — Sherif Elsayed-Ali Sherif Elsayed-Ali is a leading expert in the tech for good space and has unique experience at the intersection of technology and social issues. He co-founded Amnesty Tech, which leads Amnesty International’s work on the impact of technology on human rights and the potential uses of new technologies to advance human rights protection. Sherif also previously co-chaired the World Economic Forum's Global Future Council on human rights and technology. He is the former Director, AI for Climate, at Element AI. Sherif has been at the forefront of technology and human rights, instigating, among others, the development of the Toronto Declaration on equality and non-discrimination in machine learning and Amnesty International’s groundbreaking research on surveillance and online abuse. Over the past few years, he co-authored various reports on the theme of technology and human rights, including the World Economic Forum’s report on preventing discriminatory outcomes in machine learning. Sherif previous speaking engagements include the World Economic Forum at Davos, Chatham House, Web Summit, CogX and RightsCon. His opinion pieces were published by The Guardian, Reuters, Aljazeera and Open Democracy, among others. Sherif studied engineering and international law at the American University in Cairo and has a master in public administration from Harvard Kennedy School. He is now setting up a new climate tech venture, which will be a deep tech company focused on developing and deploying new solutions to enable a net zero future. *** For show notes and past guests, please visit https://aiasiapacific.org/index.php/podcasts/.fsa If you have questions or are interested in sponsoring the podcast, please email us at contact@aiasiapacific.org or follow us on Twitter to stay in touch.

AI is becoming a part of everything we do. With voice-activated smart homes, ad targeting algorithms, and increasingly smart cars, AI is more and more a part of the fabric of daily life. But how do we make sure AI is built in a way that is user-friendly, unbiased, and ethically sound? That's where user research comes in. Erin and JH chatted with Hana Nagel, a Service Designer at Element AI, about how she researches for AI, why inputs are just as important as outputs, and the ethics around improving AI through your data. Highlights [2:53] Establishing the ethics around AI is a collaboration between private enterprise, governmental organizations, and the civic sector. [4:53] The difficult part of researching for AI is assessing how people may feel about something they've never interacted with before. [9:25] A big challenge for theAI industry as a whole is how comfortable are we with giving up our data in exchange for optimization? [14:42] How the system as a whole is responsible for AI outputs, not just the individuals who work on the AI. [24:59] It is incredibly important to identify our own biases when building AI systems. This involves a lot of self-reflection to root out biases you may not know you have. [32:42] In Hana's dream world, the work of creating and researching AI would be more widely shared among people with different expertise to create something more reflective of many perspectives. --- Send in a voice message: https://anchor.fm/awkwardsilences/message

On this week’s show, we spoke with Katy Yam, FounderFuel General Manager @ Real Ventures. Katy is a natural connector of people and ideas in service of helping good people succeed. As General Manager of FounderFuel, her ambition is to create an environment that helps founders level up quickly by filling knowledge and experience gaps with pairings from Real’s rich mentor ecosystem. She believes deep personal accountability and a #givefirst mindset will enrich every startup and accelerate their traction at FounderFuel and beyond. Prior to joining Real, Katy spent 3 years at Element AI, scaling up from pre-Series A to its current global footprint as Canada’s largest AI company. She is a multilingual executive with a 20-year history of managing high-performing product, business intelligence and marketing teams across various public and private industries including telco, CPG, gambling and AI. In her spare time, Katy leads TEDxMontréal, a non-profit dedicated to elevating Montreal-born ideas onto the global TED stage. A guest lecturer, board member, public speaker and triathlete, she adores reading fiction of all sorts and riding/running on Zwift to unwind.   On the show, we spoke about: The importance of adaptability and ambiguity Pushing your limits How good ideas shift your mindset Helping Founderfuel to become digital first The value of conscious leadership The concept of community realization and helping others   Katy was an absolute pleasure to speak with. She was incredibly open and shared so many great insights. I hope that you enjoy the conversation!   Let us know what you think. What types of guests would like to see on the show? What topics interest you the most? Send me your thoughts at nectar@thepnr.com   Subscribe | iTunes | Google Play |Spotify | YouTube | Stitcher | Breaker

In COVID-related AI news, Andy and Dave discuss survey from Amazon Web Surveys that examines the current status of Internet of Things applications related to COVID-19, include scenarios that might help to reduce the severity of an outbreak. MIT publishes an combinatorial machine learning method to maximize the coverage of a COVID-19 vaccine. In “quick takes” on research, Andy and Dave discuss research from Microsoft, University of Washington, and UC Irvine, which provides a checklist to help identify bugs in natural language processing algorithms. A paper from Element AI and Stanford examines whether benchmarks for natural language systems actually correspond to how we use those systems. University of Illinois at Urbana-Champaign, Columbia University, and US Army Research Lab introduce GAIA, which processes unstructured and heterogeneous multimedia data and creates a coherent knowledge base, and allows for text queries. Research published in Nature Neuroscience examines the brain connectivity of 130 mammalian species and finds efficiency of information transfer through the brain does not depend on the size or structure of any specific brain. And finally, Andy and Dave spend some time talking about the broader implications of GPT-3, the experiments that people are conducting with it, and how it is not an AGI. Dave concludes with an analogy from Star Trek: the Next Generation, that he gets mostly correct, though he misattributes Geordi La Forge’s action to Dr. Pulaski. If only he had a positronic matrix! Click here to visit our website and explore the links mentioned in the episode.   

If you’re tight on time, there is a short complimentary episode with our guest where he summarizes the key takeaways in “The Seven Sins of Enterprise AI Strategies”. While business leaders may know AI needs a mindset shift to get the most out of the technology, communicating what exactly needs to change is challenging. Jeremy Barnes, Element AI’s CTO, has an incredible ability to find and make sense of the connecting thread between AI technology and business.  In this long-form interview, Jeremy talks about his initial role at Element AI as Chief Architect and helping to develop the company’s thesis, the 4 personas of AI adoption he’s observed in the market, and the importance of companies fostering a collaborative culture that will be able to experiment and change quickly around this new tech. If you’re curious how company leaders should think strategically about AI, this interview is for you.   -----------   Jeremy Barnes : Les 4 personas de l’adoption de l’IA Si vous êtes pressé par le temps, il y a un court épisode gratuit avec notre invité où il résume les principaux points à retenir dans « Les 7 péchés des stratégies d’IA d’entreprise ». Si les chefs d’entreprise savent que l’IA nécessite un changement de mentalité pour tirer le meilleur parti de la technologie, communiquer sur ce qui doit exactement changer est un défi. Jeremy Barnes, directeur de la technologie chez technique d’Element AI, a une incroyable capacité à trouver le fil conducteur (et à y donner un sens) entre la technologie de l’IA et le monde des affaires.  Dans cet entretien détaillé, Jeremy parle de son rôle initial chez Element AI en tant qu’architecte en chef et de son aide à l’élaboration de la thèse de l’entreprise, des 4 personas de l’adoption de l’IA qu’il a observés sur le marché, et de l’importance pour les entreprises de favoriser une culture de collaboration qui sera capable d’expérimenter et de changer rapidement autour de cette nouvelle technologie. Si vous êtes curieux de savoir comment les dirigeants d’entreprise doivent penser stratégiquement à l’IA, cet entretien est pour vous.

This is a special, short episode with a summary of lessons complementing our full-length interview with Element AI’s CTO Jeremy Barnes on “The 4 Personas of AI Adoption”.  A lot of Jeremy’s work has him involved in the top level strategy of AI implementation for the Global 2000, and he’s recently synthesized “7 sins of Entreprise AI Strategies” based off of the common mistakes he has observed. From managing risk to accounting reforms to cultural enablement, these “sins” also come with suggestions for how boards and C-suites can best enable their AI strategies.   -------------   Les 7 péchés des stratégies d’IA d’entreprise   Voici un court épisode spécial avec un résumé des leçons complétant notre entretien complet avec Jeremy Barnes, directeur de la technologietechnique chez Element AI, sur « Les 4 personas de l’adoption de l’IA » Jeremy a beaucoup travaillé sur la stratégie de haut niveau de mise en œuvre de l’IA pour le Global 2000, et il a récemment synthétisé les « 7 péchés des stratégies d’IA d’entreprise » à partir des erreurs courantes qu’il a observées. De la gestion des risques aux réformes comptables en passant par l’habilitation culturelle, ces « péchés » s’accompagnent également de suggestions sur la manière dont les conseils d’administration et les cadres supérieurs peuvent mettre en œuvre au mieux leurs stratégies d’IA.

The U.S. auto industry employs nearly a million people and generates nearly one trillion dollars for the U.S. economy. The faster the auto industry gets back on its feet, the faster the U.S. economy recovers. U.S. Representative Debbie Dingell, Julie Fream, CEO of the Original Equipment Supplier Association, Steve Finlay of WardsAuto and John McElroy of Autoline.tv discuss what the industry needs.

The U.S. auto industry employs nearly a million people and generates nearly one trillion dollars for the U.S. economy. The faster the auto industry gets back on its feet, the faster the U.S. economy recovers. U.S. Representative Debbie Dingell, Julie Fream, CEO of the Original Equipment Supplier Association, Steve Finlay of WardsAuto and John McElroy of Autoline.tv discuss what the industry needs.

On this week’s show, we spoke with Naomi Goldapple, Head of Alayalabs @ Alayacare. An entrepreneur and digital strategist, Naomi is passionate about how new technologies and AI can build communities, commercialize products and solve real business challenges. With over 20 years of experience she has a reputation for being an innovator, corporate strategist and strong supporter of mentorship programs and the Montreal tech community. Naomi leads AlayaLabs, the innovation backbone of AlayaCare, where she applies research in machine learning and optimization applications to elevate the AlayaCare client experience and drive business results. Prior to AlayaCare, Naomi was one of the first employees at the dynamic start-up, Element AI. As one of its first employees she took a number of different roles and led the product and business development for AI products in the transportation and logistics vertical. Demystifying the application of AI technologies is a topic Naomi speaks to regularly at conferences around the globe. That straight-talk approach is also what makes her an in-demand mentor and contributor to organizations like TechStars and Founder Fuel. Building community is very important to Naomi and that can be seen in her volunteer and entrepreneurial endeavours. She founded and ran the award-winning Maman, bébé et café inc., a centre for young families where the adults could get fit, socialize, shop or get pampered while their children played in the state-of-the-art play area.   On the show, we spoke about: The importance of both technology and a robust business model Alayacare’s mission and how they help home care workers Providing workflows for the public and private sector Creating new opportunities with data.   Naomi is one of the sharpest executives I know. It was a real pleasure to reconnect with you despite everything going on. I hope that you enjoy the conversation!   Let us know what you think. What types of guests would like to see on the show? What topics interest you the most? Send me your thoughts at nectar@thepnr.com   Subscribe | iTunes | Google Play |Spotify | YouTube | Stitcher | Breaker  

It's incredibly important to meet face-to-face with customers—except that right now, we can't.    We have to rely on messaging more than ever before.   In this episode, I interview Christophe Coutelle, VP of Marketing at Element AI, about the two strategies he's using for messaging right now.   What we talked about: Global sales in a world without international travel How to be timely and relevant (without exhausting your clients) The relaxation benefits of spending 5-6 hours a day in the water Check out this and other episodes of The Marketer's Journey on Apple Podcasts, Spotify, Stitcher, and Google Play!

TribalScale CEO & Co-Founder is joined by Karthik Ramakrishnan, VP & Head of AI Strategy and Enablement at Element AI. With gin and juice in hand, the two talk about which countries are leading the AI game, what AI is actually capable of relevant to things like global pandemics, what Element AI is currently working on, and where we're headed in terms of Machine Intelligence and where its enhancement and improvement can take our society. All this and more in this week's episode. 

On this week’s show, we spoke with Thibaud Marechal, VP Growth @ Kn0x Thibaud is currently VP Growth at KNØX, a Bitcoin custodian designed for institutions backed by investors such as Fidelity and Initialized Capital.  Previously, he was Head of Platform at Real Ventures, a $330M early-stage VC in Canada (investor in Blockstream, 1confirmation, Bitaccess, Breather, Element AI, Mindbridge and League). Ran FounderFuel, Canada's most active venture accelerator (80+ deals including Bus.com, Transit and Sonder), investing $100k per company.  In 2015, he co-founded & led the McGill X-1 Accelerator to bring medical, engineering and computer lab research to market with a shoe-string budget.   On the show, we spoke about: Launching McGill X+1  His time spent at Real Ventures and helping launch their crypto practice  Decentralized vs. centralized finance  Scarcity of trust in organizations His active Twitter presence   Thibaud is the smartest person I know in the crypto space. Even though we don’t always share the same opinion, I love debating him. Enjoy the conversation!   Let us know what you think. What types of guests would like to see on the show? What topics interest you the most? Send me your thoughts at nectar@thepnr.com   Subscribe | iTunes | Google Play |Spotify | YouTube | Stitcher | Breaker

Welcome back to What’s NEXT, the podcast exploring the technology of the future. This week, we’re sharing another conversation from our series of interviews at the Web Summit conference earlier this year. In this episode, Samsung NEXT's Scott Armanini speaks with Element AI founder JF Gagné. They discuss JF's journey from programming novice to raising more than $100 million in funding for Element AI. They also talked about how AI can help businesses take a new approach to old problems, and how “AI for good" can potentially address some of the biggest social challenges of the 21st Century.

Philippe Beaudoin is co-founder and head of applied research at Element AI, a company founded on the belief that humans and machines can work smarter together and that this synergy can help humans focus on the tasks that they find most meaningful. An essential challenge on that path, says Philippe, is working towards transitive trust in Artificial Intelligence - by helping humans understand how AI systems work and how these systems actually use the data we feed them to make decisions.

Element AI is the fastest growing AI firm in the world achieving a valuation between US$600 – 700 million in just 3 years since it was founded in Oct 2016. In Singapore, Element AI has established strategic partnerships with SMU and SGInnovate while GIC is their marquee client. With AI expected to reach US$71 billion by 2024 with a Compound Annual Growth Rate of 26% from 2019 to 2024, we chat with co-founder of Element AI, Philippe Beaudoin for more.

Will AI take our jobs? AI’s main application is in the workplace and is being applied along all levels of the payscale. Critics are worried that this could lead to job loss but like any new technology application, it depends on how we implement it. How then can we create AI products that will enhance our capacity for work, not replace it? MIT Institute Professor Daron Acemoglu sheds light on AI’s impact on the job market and how AI could help both low skilled and high skilled workers alike. He breaks down how, if we implement AI properly, it could help expand the labour market and reorganize the way we work. Karthik Ramakrishnan, Head of Advisory at Element AI, talks about how we can successfully implement AI in organizations. The trick -- bring workers into the process.    Guests Daron Acemoglu, Institute professor MIT 1:07 - Daron Acemoglu - MIT 1:20 - Why Nations Fail by Daron Acemoglu  1:20 - Automation and New Tasks: How Technology Displaces and Reinstates Labor 1:39 - COMPUTER AND DYNAMO: THE MODERN PRODUCTIVITY PARADOX IN A NOT-TOO DISTANT MIRROR 7:34 - Karthik Ramakrishnan - Twitter  10:37 - The four pillars of intelligent AI adoption 13:25 - Building a strategic AI roadmap for your business - Karthik Ramkrishnan 18:44 - The Twenty Year History Of AI At Amazon - Forbes  20:34 - The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand  21:49 - It’s good jobs, stupid - Daron Acemoglu 22:55 - The Future of Work? Work of the Future! - European Commission Report Further Readings:  Artificial Intelligence, Automation and Work - Daron Acemoglu  The Four Pillars of Intelligent AI Adoption - Karthik Ramakrishnan  The Revolution Need Not Be Automated - Daron Acemoglu, Pascual Restrepo  The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand - Daron Acemoglu, Pascual Restrepo  Next-Generation Digital Platforms: Toward Human–AI Hybrids (PDF) How To Become A Centaur - MIT Press Know Your Customers’ “Jobs to Be Done” - HBR   ---------------   L’IA va-t-elle nous voler nos emplois? L’IA est principalement utilisée en milieu de travail et elle s’applique à tous les niveaux de l’échelle salariale. Les détracteurs craignent que cela n’entraîne des pertes d’emplois, mais comme pour toute nouvelle technologie, cela dépend de la façon dont nous la mettons en œuvre. Comment pouvons-nous alors créer des produits d’IA qui amélioreront notre capacité de travail, sans remplacer nos emplois? Daron Acemoglu, professeur au MIT Institute, nous éclaire sur les effets de l’IA sur le marché du travail et sur la façon dont l’IA pourrait aider les travailleurs peu qualifiés et hautement qualifiés. Il explique comment, si nous utilisons correctement l’IA, elle pourrait contribuer à l’expansion du marché du travail et à la réorganisation de nos méthodes de travail. Karthik Ramakrishnan, directeur de l’équipe Conseils et mise en œuvre chez Element AI, parle de la façon dont nous pouvons implémenter l’IA avec succès dans les organisations. L’astuce pour y arriver? Impliquer les travailleurs dans le processus.     Invités Daron Acemoglu, professeur au MIT Institute 1:07 – Daron Acemoglu – MIT 1:20 – Pourquoi les nations échouent avec Daron Acemoglu  1:20 – Automatisation et nouvelles tâches : Comment la technologie déplace et réintègre le travail 1:39 – ORDINATEUR ET DYNAMO : LE PARADOXE DE LA PRODUCTIVITÉ MODERNE DANS UN MIROIR PAS SI LOINTAIN 7:34 – Karthik Ramakrishnan – Twitter  10:37 – Les quatre piliers de l’adoption intelligente de l’IA 13:25 – Élaborer une feuille de route d’IA stratégique pour votre entreprise – Karthik Ramkrishnan 18:44 – Les vingt ans d’histoire de l’IA chez Amazon – Forbes  20:34 – Le mauvais type d’IA? L’intelligence artificielle et l’avenir de la demande demain d’œuvre  21:49 – Ce sont de bons emplois, imbécile – Daron Acemoglu 22:55 – Le futur du marché du travail? Le travail du futur! – Rapport de la Commission européenne Lectures complémentaires :  Intelligence a

Summary for web: In this week's episode we cover all the latest tech news including: -Montreal’s Element AI has partnered with Mozilla on several research and development initiatives -Toronto-based League received an undisclosed investment from Workday and has become a software partner -Google's $2.1bn acquisition of Fitbit -ADI's acquisition of Test Motors for undisclosed financial terms -ShareGrid acquisition of BorrowFox for undisclosed financial terms and subsequent surpassing of 100,000 users We hope you enjoy the show and please subscribe for future updates!

What is data feudalism? Should machines adapt to us or should we adapt to machines?  How can we reinstate agency and control when it comes to our personal data?  In this bonus episode, Neil Lawrence, Professor of Machine Learning at the University of Cambridge, joins Element AI’s Head of Government and Public Policy Marc Etienne Ouimette to answer these questions and many more. Neil was featured in a previous episode of The AI Element, “In Data We Trust?”, in which he spoke about data trusts and data protection. In this extended interview he shares more of his thoughts on the future of AI and the growing data divide.  1:04 - The Alan Turing Institute - Professor Neil Lawrence  1:34 - Cambridge appoints first Deepmind professor of machine learning  2:07 - Jonnie Penn  2:25 - AI for social good workshop  3:02 - Isaac Asimov’s Foundation - Wikipedia  12:24 - Data Trusts could allay our privacy fears - The Guardian  23:05 - Sylvie Delacroix - Twitter  23:09 - Bottom-Up Data Trusts: Distributing the ‘One Size Fits All Approach to Data Governance - Sylvie Delacroix and Neil Lawrence    Other Readings  Data trusts: reinforced data governance that empowers the public - Element AI  Data Trusts - Inverse Probability  Inverse Probability - Neil Lawrence Blog  Talking Machines Podcast - Neil Lawrence Podcast   ---------   Qu’est-ce que le féodalisme des données? Les machines doivent-elles s’adapter à nous ou devons-nous nous adapter aux machines? Comment pouvons-nous rétablir la capacité d’agir et le contrôle en ce qui concerne nos données personnelles?  Dans cet épisode bonus, Neil Lawrence, professeur d’apprentissage machine à l’Université de Cambridge, se joint au directeur des relations publiques et gouvernementales d’Element AI, Marc-Étienne Ouimette, pour répondre à ces questions et bien d’autres. Neil a participé à un épisode précédent du balado The AI Element intitulé « In Data We Trust? », dans lequel il a parlé des fiducies de données et de la protection des données. Dans cet entretien prolongé, il nous fait part de ses réflexions sur l’avenir de l’IA et sur la division croissante des données.    1:04 – L’Institut Alan Turing – Professeur Neil Lawrence  1:34 – Cambridge nomme le premier professeur d’apprentissage machine chez DeepMind  2:07 – Jonnie Penn  2:25 – Atelier L’IA pour le bien social  3:02 – Fondation Isaac Asimov – Wikipédia  12:24 – Les fiducies de données pourraient apaiser nos craintes en matière de vie privée – The Guardian  23:05 – Sylvie Delacroix – Twitter  23:09 – Fiducies de données ascendantes : Promouvoir l’approche uniformisée « One Size Fits All » pour la gouvernance des données – Sylvie Delacroix et Neil Lawrence   Autres lectures   Fiducies de données : une gouvernance renforcée des données qui habilite le public – Element AI  Fiducies de données – Probabilité inverse  Probabilité inverse – Blogue de Neil Lawrence  Balado Talking Machines – Balado de Neil Lawrence

In this episode of AI Buzz, I will talk about a new partnership between Mozilla and Element AI where the two will focus on the development of ethical AI, MIT self-driving cars are learning to see around corners by analyzing frame-to-frame shadow patterns, Google Duplex is calling businesses to get business hours, and Facebook can anonymize your face in videos.

Sharlene McKinnon’s multifaceted IT career includes long stints at ThoughtWorks, Google, Ticketmaster, and Warner Bros. Currently, she is a Program Manager for the Applied Research Lab at Element AI.

Guests  Richard Zuroff, Director of AI Advisory and Enablement at Element AI Tanya O'Carroll, Director of Amnesty Tech at Amnesty International Alix Dunn, Founder and Director of Computer Says Maybe Jesse McWaters, Financial Innovation Lead at World Economic Forum   AI is a powerful tool and with that power comes a great deal of responsibility. How can we be sure that we’re in control of AI systems? And what should the governance look like?   Data governance is an existing practice that covers a lot of good ground because of how integral data is to AI’s functioning. However, AI’s ability to learn and evolve over time means it will adapt to changes in its environment based on its given objective. That dynamic relationship between environment and model makes things like the design of the system and its objectives just as integral as the data the model runs on. Managing the risks of these new, dynamic systems has been widely branded as “AI Governance”.   Richard Zuroff breaks down the concept of AI governance and how it differs from data governance. Tanya O’Caroll and Alix Dunn tell us about the importance of governance in protecting human rights when building AI systems. Jesse McWaters shares his insights on AI’s impact on the financial sector and why a new form of governance will soon be necessary.    00:48 - How AI risk management is different and what to do about it - Element AI 05:07 - All the Ways Hiring Algorithms Can Introduce Bias - HBR 06:45 - The Why of Explainable AI - Element AI 07:37 - Amnesty Tech - Twitter 07:39 - Computer Says Maybe 07:52 - The Engine Room  10:18 - UN Guiding Principles on Business and Human Rights  14:18 - The Matthew Effect - Wikipedia 15:00 - Agile Ethics - Medium 17:48 - Human Rights Due Diligence 20:07 - The New Physics of Financial Services - World Economic Forum 24:30 - Consumer Financial Protection Bureau 29:00 - GDPR   Other Reading: Putting AI Ethics Guidelines to Work - Element AI  AI-Enabled Human Rights Monitoring - Element AI New Power Means New Responsibility: A Framework for AI Governance - JF Gagne Podcast: Opening the AI Black Box - Element AI     ---------   De la gouvernance des données à la gouvernance de l’IA   Richard Zuroff, directeur du conseil et de la mise en oeuvre de l'IA chez Element AI Tanya O'Carroll, directrice d'Amnesty Tech à Amnistie Internationale Alix Dunn, fondatrice et directrice de Computer Says Maybe Jesse McWaters, responsable de l'innovation financière au World Economic Forum   L’IA est un outil puissant et ce pouvoir s’accompagne d’une grande responsabilité. Comment pouvons-nous être sûrs de contrôler les systèmes d’IA? Et à quoi devrait ressembler la gouvernance?   La gouvernance des données est une pratique existante qui couvre beaucoup de bonnes choses en raison de la façon dont les données font partie intégrante du fonctionnement de l’IA. Cependant, la capacité de l’IA à apprendre et à évoluer au fil du temps signifie qu’elle s’adaptera aux changements de son environnement en fonction de son objectif donné. Cette relation dynamique entre l’environnement et le modèle rend les choses comme la conception du système et ses objectifs tout aussi intégrales que les données sur lesquelles le modèle fonctionne. La gestion des risques de ces nouveaux systèmes dynamiques a été largement qualifiée de « gouvernance de l’IA ».   Richard Zuroff analyse le concept de gouvernance de l’IA et en quoi il diffère de la gouvernance des données. Tanya O’Caroll et Alix Dunn nous parlent de l’importance de la gouvernance dans la protection des droits de la personne lors de l’élaboration de systèmes d’IA. Jesse McWaters nous fait part de son point de vue sur l’effet de l’IA dans le secteur financier et nous explique pourquoi une nouvelle forme de gouvernance sera bientôt nécessaire.    00:48 – En quoi la gestion du risque de l’IA est-elle différente et que faire à ce sujet – Element AI 05:07 – All the Ways Hiring Algorithms Can Introduce Bias - HBR 06:45 – Le «

Humanitarian AI Today's host Mia Kossiavelou speaks with Alfredo Kalaitzis from Element AI about Element AI’s cutting edge AI for Good work.

Today we talk to Nicole and Jason about their rather different professional paths which led them both to Element AI – a global artificial intelligence solutions provider. What sparked our interest in the interview is that Element AI has become the space in which social scientists thrive and we wanted to find out why. We were curious to know how Nicole and Jason engage in the same work bringing diverse individual expertise and academic perspectives. Jason explains how in the field of his work, building a good team isn't about comparing or contrasting social to non-social science but about finding the synthesis of qualities required by a particular case. He gives examples from his personal journey of how to achieve those skills which are not included in university programs. Nicole, on the other hand, brings her anthropological lens into the scientific context and generates discussions about how the work that is being undertaken has deep and irreversible consequences for the way social scientists think. Lastly, they share their advice to young graduates considering to follow a similar path. Mentioned in Podcast:Berggruen Institute Fellowship Program, https://www.berggruen.org/fellowship-program/Element AI, https://www.elementai.com/Hackathon, https://www.hackathon.com/ Social Media:Nicole: https://www.linkedin.com/in/nicolerigillo/Jason: https://www.linkedin.com/in/jasonstanley2/

We don’t have enough control over our data—how it is collected, by whom, what it’s used for. We’re used to hitting “accept” to whatever agreement we need to use the online platforms, mobile apps and other digital services that run our daily lives. Yet public awareness is growing about the importance of privacy and data control. Major data breaches and scandals about the misuse of data have shown the failures of the private sector when it comes to self-regulation.  Now, governments and policymakers are stepping in with efforts to address the power imbalance between consumers and big companies when it comes to data. It’s about time — the impact of artificial intelligence could exacerbate that power imbalance, and help the data-rich get richer. Element AI’s Marc-Etienne Ouimette spoke with some of those leading the charge around taking back control of our data and the notion of data trusts — think a union, but for your data.   Guests  Ed Santow, Australia’s Human Rights Commissioner  Christina Colclough, Director of Platform and Agency Workers, Digitalisation and Trade at UNI Global Union Neil Lawrence, Professor of Machine Learning at the University of Sheffield  Show Notes  03:40 - NSW police may be investigated for ‘secret blacklist’ used to target children - The Guardian 07:52 - 94% of Australians do not read all privacy policies that apply to them – and that’s rational behaviour - The Conversation  08:02 - Click to agree with what? No one reads terms of service, studies confirm - The Guardian  10:38 - Up for Parole? Better Hope You’re First on the Docket - The New York Times 14:45 - The GDPR Covers Employee/HR Data and It's Tricky - Dickson Wright 18:08 - Companies are trying to test if they can make employees wear fitness trackers - Business Insider  20:11 - Silicon Valley & the Netherlands: Drivers of the future of automation - Netherlands in the USA 23:34 - Data Trusts - Neil Lawrence, inverseprobability.com  23:48 - Data trusts could allay our privacy fears - The Guardian  32:32 - Data trusts: reinforced data governance that empowers the public - Element AI   Further Reading  What is a data trust? - Open Data Institute Data trusts: reinforced data governance that empowers the public - Element AI Uncertainty and the Governance Dilemma for Artificial Intelligence - Dan Munro Governing AI: Navigating Risks, Rewards and Uncertainty - Public Policy Forum Anticipatory regulation - Nesta  Disturbing the ‘One Size Fits All’ Approach to Data Governance: Bottom-Up Data Trusts - Sylvie Delacroix & Neil Lawrence  Human Rights and Technology Issues - Australian Human Rights Commission The Civic Trust - Sean McDonald & Keith Porcaro Facebook’s privacy policy is longer than the US Constitution - The Next Web   Follow Us  Element AI Twitter Element AI Facebook  Element AI Instagram  Alex Shee’s Twitter Alex Shee’s LinkedIn     ---------   Nous n’avons pas suffisamment de contrôle sur nos données : comment elles sont recueillies, par qui et à quoi elles servent. Nous sommes habitués à « accepter » tout accord dont nous avons besoin pour utiliser les plateformes en ligne, les applications mobiles et autres services numériques qui gèrent notre vie quotidienne. Pourtant, le public est de plus en plus conscient de l’importance de la protection de la vie privée et du contrôle des données. D’importantes atteintes à la protection des données et des scandales concernant l’utilisation abusive des données ont montré les échecs du secteur privé en matière d’autoréglementation.  Aujourd’hui, les gouvernements et les décideurs s’efforcent de remédier au déséquilibre de pouvoir entre les consommateurs et les grandes entreprises lorsqu’il s’agit de données. Et ce n’est pas trop tôt! En effet, l’incidence de l’intelligence artificielle pourrait exacerber ce déséquilibre de pouvoir et aider les personnes riches en données à s’enrichir. Marc-Étienne Ouimette d’Element AI s’est entretenu avec certains des principaux responsables de la pr

“Explainability” is a big buzzword in AI right now. AI decision-making is beginning to change the world, and explainability is about the ability of an AI model to explain the reasons behind its decisions. The challenge for AI is that unlike previous technologies, how and why the models work isn’t always obvious — and that has big implications for trust, engagement and adoption. Nicole Rigillo breaks down the definition of explainability and other key ideas including interpretability and trust. Cynthia Rudin talks about her work on explainable models, improving the parole-calculating models used in some U.S. jurisdictions and assessing seizure risk in medical patients. Benjamin Thelonious Fels says humans learn by observation, and that any explainability techniques need to take human nature into account.  Guests Nicole Rigillo, Berggruen Research Fellow at Element AI  Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, and Statistical Science at Duke University Benjamin Thelonious Fels, founder of AI healthcare startup macro-eyes Show Notes  01:11 - Facebook Chief AI Scientist Yann LeCun says rigorous testing can provide explainability01:58 - Berggruen Institute, Transformation of the Human Program05:34 - Judging Machines. Philosophical Aspects of Deep Learning - Arno Schubbach 06:31 - Do People Trust Algorithms More Than Companies Realize? - Harvard Business Review 08:25 - Introducing Activation Atlases - OpenAI10:52 - Learning certifiably optimal rule lists for categorical data (CORELS) - YouTube11:00 - CORELS: Learning Certifiably Optimal RulE ListS 11:45 - Stop Gambling with Black Box and Explainable Models on High-Stakes Decisions 16:52 - Transparent Machine Learning Models for Predicting Seizures in ICU Patients - Informs Magazine Podcast19:49 - The Last Mile: Challenges of deployment - StartupFest Talk24:41 - Developing predictive supply-chains using machine learning for improved immunization coverage - macro-eyes with UNICEF and the Bill and Melinda Gates Foundation Further Reading  A missing ingredient for mass adoption of AI: trust - Element AI Breaking down AI’s trustability challenges - Element AI The Why of Explainable AI - Element AI  Follow Us  Element AI Twitter Element AI Facebook  Element AI Instagram  Alex Shee’s Twitter Alex Shee’s LinkedIn   --  L’« Explicabilité » est un grand mot à la mode en IA en ce moment. La prise de décision en matière d’IA commence à changer le monde, et l’explicabilité concerne la capacité d’un modèle d’IA à expliquer les raisons qui sous-tendent ses décisions. Le défi pour l’intelligence artificielle est que, contrairement aux technologies précédentes, la façon dont les modèles fonctionnent et les raisons pour lesquelles ils fonctionnent ne sont pas toujours évidentes — et cela a de grandes répercussions sur la confiance, l’engagement et l’adoption. Nicole Rigillo décompose la définition de l’explicabilité et d’autres idées clés, y compris l’interprétabilité et la confiance. Cynthia Rudin parle de son travail sur les modèles explicables, l’amélioration des modèles de calcul des libérations conditionnelles utilisés dans certaines juridictions américaines et l’évaluation du risque de crise chez les patients médicaux. Benjamin Thelonious Fels estime que les humains apprennent par l’observation et que toute technique d’explication doit tenir compte de la nature humaine.  Invités Nicole Rigillo, chercheuse de l’Institut Berggruen chez Element AI Cynthia Rudin, professeure d’informatique, de génie électrique et informatique, et de sciences statistiques à l’Université Duke Benjamin Thelonious Fels, fondateur de l’entreprise en démarrage macro-eyes œuvrant en IA dans le domaine de la santé Afficher les notes  01:11 – Yann LeCun, scientifique en chef de l’intelligence artificielle sur Facebook affirme que des tests rigoureux peuvent fournir des explications.01:58 – Institut Berggruen, Transformation du programme humain05:34 – Machines de

There is a preconceived notion that artificial intelligence has predominantly negative implications for human rights. However, artificial intelligence can also positively impact human rights --a point that's often neglected and not given the attention they deserve. Humanity, Wired host Amy Lehr talks with Sherif Elsayed-Ali, Director of Partnerships at AI for Good, and Element AI, about the positive impacts of AI, and the role of business in this space. Element AI's AI for Good lab provides dedicated, world class AI and engineering expertise to organizations working for the public benefit. He is also co-chair of the World Economic Forum's global future council on human rights and technology, and a fellow at the Carr Center for Human Rights at Harvard Kennedy School.

There is a preconceived notion that artificial intelligence has predominantly negative implications for human rights. However, artificial intelligence can also positively impact human rights --a point that’s often neglected and not given the attention they deserve. Humanity, Wired host Amy Lehr talks with Sherif Elsayed-Ali, Director of Partnerships at AI for Good, and Element AI, about the positive impacts of AI, and the role of business in this space. Element AI’s AI for Good lab provides dedicated, world class AI and engineering expertise to organizations working for the public benefit. He is also co-chair of the World Economic Forum's global future council on human rights and technology, and a fellow at the Carr Center for Human Rights at Harvard Kennedy School.

This podcast interview focuses on product innovation focused on democratizing access to AI across industries that haven’t got the connections and salary budgets of the Tech Giants. My guest is Naomi Goldapple, Head of product for transportation and logistics at Element AI.Naomi’s career combines technology and business consultancy and entrepreneurship. Her specialties are Business & growth strategies, product commercialization and marketing plans. She has an International MBA, specializing in developing markets in Latin America, from the Schulich School of Business as well as a Bachelor of Commerce from McGill University.She was the Director e-business for Royal LePage Commercial, one of Canada’s largest commercial real estate companies. She started up and ran Maman, bébé et café inc., which won various awards, and worked at ModelCom, using her expertise to help technology entrepreneurs with strategy and financing. She was the VP Business Development at Nexalogy, responsible for commercializing the suite of products, forging channel partnerships and growing the sales. Nexalogy developed a next generation software for mining, cleaning and analyzing unstructured data with powerful data sculpting capabilities. And this experience has led to her current venture as Program Director with Element AI, an innovative model that works with and creates companies that are leveraging artifical intelligence. The goal is to spin out hundreds on AI-first companies in Canada over the next 5 years.This triggered me, hence I invited Naomi to my podcast. We explore how the momentum around AI is picking up fast, but how various industries experience significant challenges to get access to AI talent, and in line with that, solutions. We discuss how Element AI is solving this issue, and how this helps chronically understaffed industries and attack large global problems such as safety and climate change.Here are some of her quotes:“The big idea behind the company, if I had to sum it up in one word, is really to democratize the access to AI.One of the issues that is happening right now is many people are getting excited about AI, however, there really isn't enough talent out there.They're usually courted away very quickly by the tech giants.The manufacturing industry, insurance, other industries that are not one of the tech giants, they really don't have access to this talent.So, our role was really to concentrate in some of those verticals, build products specifically for them and kind of allow them to leverage these technologies to really improve their businesses.”During this interview, you will learn three things:That significant value can be delivered to the quality of human work by using AI to eliminate Dull, Dangerous and Dirty workWhy it is key to first learn about the impact AI can deliver, rather than to regulate it upfrontHow the sum of the parts will be far greater when every organization takes an active approach to share its data with its peers See acast.com/privacy for privacy and opt-out information.

Episode Length: 35:42 Learn about: · Defining artificial intelligence (AI) and the importance of decision making · Data processing and portfolio rebalancing through AI · How AI affects investing and portfolio management · The relationship between AI and cyber security · Predictions on self-driving cars in Canada · The role of data, aggregate data, and data privacy in AI · Data privacy, data ownership, and data trust · Montreal as a major hub of AI and deep learning research and development · What to watch out for in AI development – causality and neural networks Interested in investing in technology and innovation? Consider the Evolve Innovation Index Fund (EDGE): https://evolveetfs.com/product/edge Keynote Speaker: Nicolas Chapados, Co-founder & CSO, Element AI & Imagia Cybernetics Nicolas is the co-founder and CSO of Element AI, one of the largest artificial intelligence companies in the world. He also co-founded Imagia Cybernetics, an applied research lab in AI that has the capability to detect and quantify cancer in the early stages through AI analysis of medical images. He holds an engineering degree from McGill University and a PhD in computer science from the University of Montreal. Nicolas also holds the Chartered Financial Analyst (CFA) designation. Hosted by: Raj Lala, President & CEO, Evolve ETFs Prior to founding Evolve ETFs, Mr. Lala served as Head of WisdomTree Canada – a division of WisdomTree Investments Inc., one of the world’s largest ETF issuers. Prior to this, Mr. Lala was Executive Vice President and Head of Retail Markets for Fiera Capital Corporation, a prominent Canadian investment management firm with over $100 billion in assets under management. Mr. Lala co-founded and served as President and CEO of Propel Capital Corporation (which was acquired by Fiera Capital Corporation in September 2014). Propel raised approximately $1 Billion in structured products in its five years of operation. Prior to Propel, Mr. Lala worked with Jovian Capital. Mr. Lala held several roles at Jovian including President of JovFunds Inc., an asset management division of Jovian Capital. Mr. Lala holds a Bachelor’s degree in Economics from the University of Toronto.

La cofondatrice et première vice-présidente des opérations d’Element AI, une entreprise leader en intelligence artificielle à Montréal, a accumulé des expériences de travail exceptionnelles depuis sa sortie de l’université. Détentrice de deux baccalauréats, l’un en finances et l’autre en histoire de l’art et d’un certificat en mandarin, Anne Martel s’est surtout formée sur le terrain, d’abord à Londres dans une firme-conseils en ressources humaines puis à Montréal au sein de l’entreprise familiale. Et, depuis 2016, elle se consacre à bâtir, avec ses quatre cofondateurs, Éléments AI, une entreprise en hyper croissance. Malgré son emploi du temps surchargé, Anne ne perd pas de vue sa propre route comme en témoigne la poursuite d’un MBA exécutif en parallèle. Elle se confie pour une première fois sur son parcours à Brave.

As AI moves out of research labs and into the real world of commercial applications, we will increasingly see the rise of AI products. Whether it be detecting fraud in financial transactions or optimizing supply chains, while you won’t need a detailed knowledge of machine learning models to take advantage of the next generation of AI tools, you may well require an appreciation for confidence intervals and a new approach to making decisions. On a trip to Toronto, I caught up with Karthik Ramakrishnan, Head of Industry Solutions & Advisory at Element AI. We spoke about the near-term challenges of embedding AI decision-making in organizations, and why just as important as getting algorithmic products to work with people, will be getting the products to work with each other to make complex, synthesized decisions across the company of the future.

As AI moves out of research labs and into the real world of commercial applications, we will increasingly see the rise of AI products. Whether it be detecting fraud in financial transactions or optimizing supply chains, while you won’t need a detailed knowledge of machine learning models to take advantage of the next generation of AI tools, you may well require an appreciation for confidence intervals and a new approach to making decisions. On a trip to Toronto, I caught up with Karthik Ramakrishnan, Head of Industry Solutions & Advisory at Element AI. We spoke about the near-term challenges of embedding AI decision-making in organizations, and why just as important as getting algorithmic products to work with people, will be getting the products to work with each other to make complex, synthesized decisions across the company of the future.

Julien Cornebise is a Director of Research, AI for Good at Element AI and head of the London Office. He is also an honorary researcher at University College London. Prior to Element AI, Julien was at DeepMind (later acquired by Google) as an early employee, where he led several fundamental research projects used in early demos and fundraising. After leaving DeepMind in 2016, he worked with Amnesty International. Julien holds an MSc in Computer Engineering, an MSc in Mathematical Statistics, and a PhD in Mathematics, specialized in Computational Statistics, from University Paris VI Pierre and Marie Curie and Telecom ParisTech. He received the 2010 Savage Award in Theory and Methods from the International Society for Bayesian Analysis for his PhD work. In today's episode Julien shares some considerations on what makes AI good or bad; reflections on the ethics and drive for purpose of the humans that build technology; his experience working alongside anthropologists and sociologists as part of Element AI's team of AI for Good; the value of diversity in teams and how to prevent replicating bias with AI; advice to anthropologists considering to transition to industry ; some key points of the keynote he will give at the Anthropology + Technology Conference 2019 happening on Oct 3rd in Bristol, UK under the theme of Championing socially responsible AI. Mentioned in Podcast: DeepMind Technologies ElementAI AI for Good Kentaro Toyama Geek Heresy: Rescuing Social Change from the Cult of Technology, Kentaro Toyama UN Sustainable Development Goals 2019 AI Talent report - issued by element AI Tech Workers Now Want to Know: What Are We Building This For?, Kate Conger, Cade Metz, NY Times, Oct 7 2018 Thomas Piketty Capital in the Twenty-First Century, Thomas Piketty Davos 2019: Historian Rutger Bregman berates billionaires at World Economic Forum over tax avoidance Utopia for Realists: How We Can Build the Ideal World, Rutger Bregman Anthropology + Technology Conference 2019 Julien's work: Google Scholar profile: https://scholar.google.co.uk/citations?user=6fkVVz4AAAAJ&hl=en&oi=ao Social media and other links: Email: julien AT elementai.com LinkedIn profile: https://www.linkedin.com/in/juliencornebise Twitter profile: https://twitter.com/JCornebise

Andy and Dave discuss the Department of Energy’s attempt to create the world’s longest acronym, with DIFFERENTIATE (Design Intelligence for Formidable Energy Reduction Engendering Numerous Totally Impactful Advanced Technology Enhancements), and to accelerate incorporation of ML into energy technology and product design. Google cancels its AI ethics board after thousands of employees sign a petition calling for the removal of one member with anti-LGBTQ and anti-immigrant views. NASA unveils the Astrobees, one-foot cube robots that will work autonomously on the International Space Station to check inventory and monitor noise levels, among other things. And Microsoft partners with French online education platform OpenClasrooms to train and recruit promising students in AI. Research from Eindhoven University of Technology and the University of Trento takes a biologically “inspired” approach to neural net learning, through Neuron Elevation Traces (NATs), that allow additional data storage in each synapse; the result appears to increase the plasticity of the synapses. A mathematical reasoning model from DeepMind can solve some arithmetic, algebra, and probability problems, though sometimes gets simple calculations incorrect (such as 1 + 1 + … + 1, for n>=7). And research creates a musculoskeletal system that can use muscle activation to simulate movement and control. A report from Element AI examines the Global AI Talent distributions in 2019, to include (perhaps not surprisingly) the observation that the supply of top-tier AI talent does not meet the demand. A paper in Nature Reviews Physics surveys the physics of brain network structure, function, and control. A short sci-fi story from Jeffrey Ford describes The Seventh Expression of the Robot General. And Andy highlights a video from 1961 on The Thinking Machine.  

Alex Shee has a personal mission to democratize Artificial Intelligence. His curiosity and forward-thinking style lead him to be one of the most influential leaders on AI in Montreal and in the world. He states that AI is a great tool that offers great opportunities to do good, and he wants to use AI to provide better services to people around the world. As a Director of Industry Solutions and Corporate Development at Element AI, Alex Shee leads the company’s strategic partnership to offer a scalable, customizable and sustainable suite of core AI-enabled products for the world's biggest organizations. In this podcast, he shares many valuable advices with everyone who wants to work with Artificial Intelligence.Podcast and music production : yoann.saunier.me See acast.com/privacy for privacy and opt-out information.

In this episode, we discuss the good AI will do, such as combat fraud, prevent money laundering, and help to stop online bullying. We also discuss the flaws of AI, such as the cost to our privacy. Experts who build AI biometrics and behavioral analysis tools break down how facial recognition works, including iris tracking and palm vein detection. We also discuss the unique way you touch and hold your phone, and how this helps financial companies detect if your phone was stolen. We also talk about AI products that inform capital markets, like the stock market and other investments. Do not miss these candid interviews discussing a controversial yet important topic. 

This episode is brought to you by the McGill Dobson Centre for Entrepreneurship. Our mission is to inspire, teach, and develop world-class entrepreneurs. Now, Made at McGill is usually a narrative-driven, highly produced podcast about the origin stories of McGill’s top entrepreneurs. But this episode is different, it’s experimental; it doesn’t match that description at all. It’s more of a “Friends of McGill” episode, and it’s unedited audio from a live conversation I had on stage at McGill with Philip Beaudoin.Philip Beaudoin is Co-Founder and Senior Vice-President of Research at ElementAI. Element AI delivers AI software products at scale to help people work smarter.This conversation explores Philip's journey on the way to co-founding Element AI and how they plan to democratize artificial intelligence with a non-predatory, collaborative research model. He also shares some stories from his time at Google that led to him making a stand for ethical AI, including a conversation he had with Tristan Harris from the Center for Humane Technology.Before we dive in, let me give you a rough idea of what Philippe’s path looked like up to now. After doing his Bachelor’s, Master’s, and PhD in computer science at Universite de Montreal, he went on to do his Postdoc at UBC. Throughout his studies and research, he was always working on side projects in industries like computer graphics, video games, and software. After his postdoc, he spent 5 years at Google, where among other things, he worked on the Google Chrome New Tab page that you probably use everyday. And in 2016, he co-founded ElementAI, which recently topped the annual list of Canadian tech companies with the potential to reach $1B in value. See acast.com/privacy for privacy and opt-out information.

Implanter son entreprise dans un nouveau pays est souvent une aventure qui se produit après avoir bien enraciné son organisation dans son marché initial. Très rares sont ceux qui vont avoir le courage de le faire dès les premiers balbutiements de l’entreprise. Dans l’épisode d’aujourd’hui, vous découvrirez comment une des entreprises les plus en effervescence à Montréal, Element AI, s’y est prise pour s’implanter dans plusieurs endroits géographiques dès le jour 1. Alex Shee, chef du bureau de la direction, nous raconte les pièges à éviter quand on veut attaquer un nouveau marché.  Bonne écoute! Un podcast de J7 Media PS : vous pouvez également découvrir le podcast de Element AI ici : https://itunes.apple.com/us/podcast/the-ai-element/id1414087665

Close to a year ago, we had an interview here on the AI in Industry podcast with Jeremy Barnes of Element AI. We visited their headquarters in Montreal, and we'd interviewed Yoshua Bengio a couple years before that. Jeremy had brought up one point in that interview that I really like and that transfers its way into this conversation, which is that businesses should think not just about being more efficient with artificial intelligence, but places where they can actually make a real difference in the bottom line for the company beyond shaving off some savings. In this week's episode, we focus on compliance and analyzing contracts. At first, one might think about such an application in terms of cost savings. We speak with Shiv Vaithyanathan, an IBM fellow and Chief Architect of Watson Compare & Comply, about the following: What's possible with AI when it comes to analyzing contracts, and, most importantly Where is the business upside for AI as it relates to contract analysis. How can we analyze contracts not just in a way that saves money, but that allows us to optimize our deals for revenue, for the likelihood that they'll go through?  What's that farther vision?

Novels are to entertainment what orange juice is to Coca Cola -- a wholesome alternative to modern vices. Or at least, that's how we think of them now. But long before television and videogames, or before comic books and D&D, novels were the new and scary form of entertainment. They were accused of corrupting the youth, of planting dangerous ideas into the heads of housewives, of and distracting everyone from more serious, important books. In this episode, we explore the roots of anti-novel hysteria, and explore what impact it really did have on us. (And if you're looking for a good novel, check out host Jason Feifer's new novel, Mr. Nice Guy!) Get in touch: Twitter: @pessimistsarc Web: pessimists.co Email: pessimistsarchive@gmail.com Thanks to our sponsor, Element AI, and its podcast The AI Element.

Artificial Intelligence (AI) adoption is going strong in Singapore. At least six in 10 Singapore organisations have already implemented AI in one form or another, and 90% are planning to implement AI in the next 12 months. However, 76% of the business in Singapore are having difficulties knowing where and how to start with AI. Enter Element AI: fostering AI communities and levelling the playing fields for businesses around the world. We speak to Luiz F Gonzalez, Head of ASEAN, ANZ & Global Leader for Manufacturing and Industrials at Element AI to find out more.

On this week’s show, we spoke with Mark Maclean, Senior Director @ Montréal International. Mark is the Senior Director of Business Development for the West Coast, Latin America and Entrepreneurship at Montréal International. His role is to promote the Montréal business environment to foreign companies, supporting their set up or expansion in Greater Montréal. Since joining Montréal International in 2016, Mark has supported multiple international AI expansions; including Maluuba (Microsoft), Google Brain, and Facebook AI Research—in addition to supporting startups establish a presence in Montréal. Previously, Mark was a senior manager at EY in the tax incentive group for small to medium companies, with a focus on tech startups. He is a volunteer and mentor at the Foundation Montréal inc. and actively participates in mentoring events at Concordia University. Mark holds a Bachelor of Science from Concordia, a diploma in entrepreneurship from McGill University, and an MBA from the John Molson School of Business. On the show, we spoke about How he went from studying biology to the world of tech startups The benefit of an undergrad degree How he participated in the resurgence of Montreal’s startup ecosystem His role at Montreal International and how he seeks to help with economic development Montreal’s potential to become the world leader in AI How visual effects is a growing industry in the city The challenge of talent Some key players like Tandem Launch, Element AI, Algolux and Sportlogic   Mark proudly represents my fine city and I’m happy that he took the time to sit down and chat. I hope that you enjoy the conversation!   Let us know what you think. What types of guests would like to see on the show? What topics interest you the most? Send me your thoughts at nectar@thepnr.com   Subscribe | iTunes | Google Play |Spotify | YouTube | Stitcher |

As AI seeps into every industry, businesses are being forced to adapt. Old school industries may not be as lean or quick to pivot as startups, but they have access to a motherlode of funding and data. Still, red tape and outdated infrastructure may block them from the timely AI transformation they need to stay afloat tomorrow. Alex Shee speaks with serial AI entrepreneur JF Gagné about this tension between startups and more corporate environments. Then, 15-year veteran of the insurance industry Natacha Mainville shares some real-world examples of how AI is flipping the industry on its head, forcing incumbents to keep up. Featured in this episode: JF Gagné, CEO of Element AI Natacha Mainville, Chief Innovation Officer at TandemLaunch Mentioned in the episode: JDA Software, retail and supply chain solutions Element AI, AI solutions provider Convolutional neural networks (Wikipedia) Lemonade Renters & Home Insurance, insurance startup

Successful adopters of AI develop an AI-first strategy supporting all functional areas of the business: marketing, product development, customer support, sales, and beyond. What does this look like in practice? Naomi Goldapple of Element AI, who consults with execs about AI strategy on the regular, provides some insight. Alex also talks to Chris Benson who was hired at Honeywell to inject AI into the traditional-but-transforming manufacturing and logistics space. He shares some case studies of AI transformation and touches on the pervasive fear of job loss. Featured in this episode: Naomi Goldapple, Program Director at Element AI Chris Benson, Chief Scientist for Artificial Intelligence & Machine Learning at Honeywell Safety & Productivity Solutions Mentioned in the episode: Element AI, AI solutions provider Honeywell, manufacturing and logistics conglomerate company Crash Destroys F-22 Test Model (Eric Schmitt for the New York Times, 1992) Atlanta Deep Learning Meetup (Meetup.com)

AI is everywhere right now: in our news feeds, our devices, our homes. The hype is spreading quickly to permeate every industry, and the executives of the world want to know, “Beyond the hype, what can this tech actually do for my business?” Element AI’s Alex Shee sits down with influencers across several industries to investigate how AI is being used to disrupt and innovate.

Sam Haffar of real Ventures discusses Element AI, Real Ventures' investment thesis, and how they identify opportunities.

This week:  Whoa!  Apple just stole Google’s head of A.I. to make Siri smarter Apple plans to ditch Intel processors on the Mac  You won’t believe the massive cash being pay to silicon valley’s A.I. talent Future iPhones could boast curved displays and touch-free controls iOS 11.4 public beta arrives with AirPlay 2, but it won’t work with your HomePod And a Leander gives us the scoop on his new Tim Cook book!   This episode supported by   Casper’s American-made mattresses have just the right amount of memory foam and latex, and people everywhere love them.  Learn why and get $50 towards any mattress at Casper.com/cultcast.   The air you were meant to breathe is finally here. For $75 off your first order, visit molekule.com and enter the code CULTCAST at checkout.    CultCloth will keep your iPhone X, Apple Watch, Mac and iPad sparkling clean, and for a limited time use code CULTCAST at checkout to score a free CleanCloth with any order at CultCloth.co.   Thanks to Kevin McLeod for the music you hear on today’s episode.   On the show this week @erfon / @lkahney / @lewiswallace / @bst3r   CultCast live hangout on Friday the 13th at 12PM PST! http://live.thecultcast.com   Apple steals Google’s A.I. wiz to make Siri smarter https://www.cultofmac.com/539125/apple-steals-googles-john-giannandrea-ai-siri/ John Giannandrea used to be in charge of Google’s search and artificial intelligence, but now he works for Apple.  He’s leading the drive to make the company’s Siri voice assistant smarter, a goal many would agree is overdue. NYT: Apple said on Tuesday that Mr. Giannandrea will run Apple’s “machine learning and A.I. strategy,” and become one of 16 executives who report directly to Apple’s chief executive, Timothy D. Cook. This is the most high-profile move yet in a ongoing drive to hire more talent for the Siri team. Mr. Giannandrea came to Google in 2010, where he helped make AI and machine learning part of all the company’s products, from search to Gmail. And now he’s doing that for Apple. Apple is also looking to hire  to hire 142 more people for Siri-related jobs, almost twice as many as this time last year.   Tech Giants Are Paying Huge Salaries for Scarce A.I. Talent https://www.nytimes.com/2017/10/22/technology/artificial-intelligence-experts-salaries.html Fun fact: Engineers with A.I. expertise are some of the most sought-after people in Silicon Valley, with salaries sometimes exceeding eight figures. Tech’s biggest companies are placing huge bets on artificial intelligence, banking on things ranging from face-scanning smartphones and conversational coffee-table gadgets to computerized health care and autonomous vehicles. Typical A.I. specialists, including both Ph.D.s fresh out of school and people with less education and just a few years of experience, can be paid from $300,000 to $500,000 a year or more in salary and company stock In a court filing this year, Google revealed that one of the leaders of its self-driving-car division, Anthony Levandowski, a longtime employee who started with Google in 2007, took home over $120 million in incentives before joining Uber last year In the entire world, fewer than 10,000 people have the skills necessary to tackle serious artificial intelligence research, according to Element AI, an independent lab in Montreal. Not enough teachers because they all get lured into making their fortunes Over the last several years, four of the best-known A.I. researchers in academia have left or taken leave from their professorships at Stanford University. At the University of Washington, six of 20 artificial intelligence professors are now on leave or partial leave and working for outside companies. Nonprofits like Fast.ai and companies like Deeplearning.ai, founded by a former Stanford professor who helped create the Google Brain lab, offer online courses.     Future iPhones could boast curved displays and touch-free controls https://www.cultofmac.com/539239/future-iphones-could-boast-curved-displays-and-touch-free-controls/ According to Bloomberg, Apple is working on touchless gesture controls and curved screens for future iPhones The touchless control feature would be a bit like the Air Gestures feature Samsung introduced several years back. This allows users to accept calls and navigate through web pages by waving their hands across the screen. The other new technology is for a curved display more noticeable than the slight curve seen on the iPhone X’s OLED screen. Unlike Samsung’s curved handsets, which curve down at the edges, Apple’s approach reportedly curves “inward gradually from top to bottom.”   iOS 11.4 public beta arrives with AirPlay 2, but it won’t work with your HomePod just yet https://www.cultofmac.com/539063/ios-11-4-public-beta-arrives-with-airplay-2/     Apple plans to ditch Intel processors on the Mac  https://www.cultofmac.com/538829/apple-plans-to-ditch-intel-processors-on-the-mac/ Apple is pushing forward with plans to ditch Intel’s processors in favor of its own chips, according to a new report that claims the transition away from Intel CPUs will likely take multiple steps. Bloomberg says that Apple executives have already approved the project to make the Mac run on ARM-based processors by 2020. Moving to its own chips inside Macs would let Apple release new models on its own timelines, instead of relying on Intel’s processor roadmap. Making the move to ARM chips won’t be easy though. All software would basically have to be rewritten for the new processors, which certainly won’t make developers happy. Pluses  Intel chips have stalled in major progress, leaving little reason for many to update from older computers. The A11 bionic chip inside the iPhone X beats meets or beats Geekbench scores of the fastest 2017 13” MacBook Pro No more waiting on Intel!  More regular releases of Macs with updated hardware. Even tighter integration of your Mac, iPhone, iPad, and other  devices Concerns Machines not capable with doing pro work.  Sure the X beats a 13” MBP, but what about a desktop  4-core or 6-core chip with hyper threading? is this going to mean Macs that are more like phones and iPads? (efficient but not very powerful) Even more of a walled-garden as Apple fine-tunes it’s machines to work best with it’s own software, but 3rd party apps may not follow

Are you looking for AI talent to join your business or enterprise? An updated report by Element AI shows 22,000 qualified candidates (with 3,000 looking for jobs). We look at why this number might be suspect and some recent trends that could flip the current bottleneck on its head. Links: Just How Shallow is the Artificial Intelligence Talent Pool? Who's Hiring AI Talent in America? Follow us and leave us a rating! iTunes Homepage Twitter @artlyintelly Facebook artificiallyintelligent1@gmail.com

This week, AI in Industry features Jeremy Barnes, Chief Architect at Element AI. Jeremy talks about the common mistakes some businesses might make while adopting AI to solve broad business problems. He also sheds light on the problem areas that could raise the market value of businesses through AI adoption, hiring the right talent with the right combination of subject matter expertise and business experience, and the business and technical aspects executives should consider before contemplating the adoption of AI. For more insights on the B2B applications of AI, go to techemergence.com

Miami has become the quintessential poster child for reinventing the classical music experience. A true blend of business and pleasure, there is a movement of reimagining the medium itself, as well as how audiences engage their time and money with live experiences -- including among other things, an outdoor, 4K "wallcast" with 165 speakers built into the lawn. Recorded live at the Sagamore Hotel during Art Basel week, renown composer and CEO of Nu Deco Ensemble, Sam Hyken joins Innovation Crush alongside Marte Siebenhar, VP of Audience Development at New World Symphony to discuss the triumphs, hurdles, and inspirations they've encountered on their path to success.Recorded by the SAE Institute, co-produced by the Arts & Business Council of Miami, and sponsored by Element AI.

314: In this interview, Yoshua Bengio, discusses World Class IT Principle One, People, and World Class Principle Five, External Partnerships. Some of the topics discussed include: Supervised verses unsupervised deep learning The heart of deep learning: disentangled representations The genesis and mission of Element AI Exploratory AI research verses applied AI research The development of the Montreal Institute of Learning Algorithms (MILA) The significance Yoshua places on supportive and collaborative cultures The evolution of AI in Montreal Yoshua’s concerns bout lethal autonomous weapons (LAWs)

Montreal, it turns out, is ground zero for some of the best and brightest in the emergent AI community. Look closely at the newly hired AI ranks at Google, Uber or Facebook and you will lots of expat Canadians. Now, a new company called Element AI, is working to help other companies apply the very same cutting edge deep-learning research to commercial problems from manufacturing to logistics. One of the co-founders of Element AI is JS Cornoyer, who also started Montreal Startup and Real Ventures. Catching up at his co-working digs in downtown Montreal, we spoke about the future of deep-learning, and the kinds of empathetic skills that will be prized in humans in a post-automation future.

Montreal, it turns out, is ground zero for some of the best and brightest in the emergent AI community. Look closely at the newly hired AI ranks at Google, Uber or Facebook and you will lots of expat Canadians. Now, a new company called Element AI, is working to help other companies apply the very same cutting edge deep-learning research to commercial problems from manufacturing to logistics. One of the co-founders of Element AI is JS Cornoyer, who also started Montreal Startup and Real Ventures. Catching up at his co-working digs in downtown Montreal, we spoke about the future of deep-learning, and the kinds of empathetic skills that will be prized in humans in a post-automation future.

Returning guest, Karthik Ramakrishnan of Element AI discusses the future impact and implications of artificial intelligence on business and society at large. A deep dive into AI for CMOs and CIOs who are focusing on digital transformation, and also somewhat of a correction in terms of our views and perceived myths about AI technology. We've reached a stage where data is readily available, deep learning algorithms are recognizing speech (ex. Siri), AI can see (computer vision) - recognize objects (think driverless cars) and talk back - i.e. speech (Siri responding to you) plus AI research on touch and smell. Add the layer of computing power to process data in milliseconds.... does this all mean that our products and services we provide to our customers will all be automated in the near future? Will the future be all about chatbots? Will we even need to drive a car in the future? What about the future of urban planning? What does this mean for the future of work? 20 hour work-weeks perhaps? Listen to understand where AI and CX are heading over the next decade....

In the inaugural episode of The AI Show, Derrick Harris speaks with Kindred.ai co-founder and CEO Geordie Rose about a wide range of issues in artificial intelligence and quantum computing (Rose also co-founded D-Wave Systems in 1999). Among the topics Rose covers are how Kindred.ai is seeking to build artificial general intelligence and the importance of a physical embodiment in that quest; the commercial viability and challenges of different approaches to quantum computing; the ethics of human-AI interaction; and whether his Canadian homeland can really become the world's AI epicenter. In the news segment, co-hosts Derrick Harris, Signe Brewster and Chris Albrecht discuss Element AI's $102 million funding round; the AI showdown between the U.S. and China; what the Tertill weed-cutting robot says about the state of consumer robotics; Facebook's negotiating bots; and the robot the could be flipping burgers at a restaurant near you.

As the Experience Designer at Element AI, Masha Krol is leading the industry towards AI-focused design. Masha talks about the importance of distinguishing between working a lot and working productively. She discusses the potential of good design to establish trust between user and technology. Masha reveals the neurological evidence of empathy, and her objective to scale that empathy into technology-enabled kindness. Links: Twitter: https://twitter.com/mashakrol https://www.elementai.com Take the great ideas you get from Workmode and turn them into live, clickable prototypes with InVision, the world’s top design collaboration platform. Visit invisionapp.com/workmode to get 3 months free! Thanks to Unbounce: unbounce.com for the use of their recording studios - check out their podcast Call to Action here: unbounce.com/call-to-action-podcast, and to mindsparklemag.com - a lovely design blog highlighting new trends in the world of design, web design and video. Edited by Steph Colbourn at editaud.io Theme music by www.olivieralary.com Find us at www.workmode.show