Podcast appearances and mentions of bernard marr

L'IA ne remplacera pas l'humain. Mais elle va le transformer.Chaque jour, j'utilise ChatGPT comme un partenaire créatif :→ Il enrichit mes idées→ Il complète mes réflexions→ Mais jamais il ne remplace mon besoin d'écrire.L'IA est aujourd'hui à ses débuts. Demain, elle sera partout. ChatGPT-4 est déjà plus performant que près de la moitié des Français. Demain, une nouvelle version pourrait surpasser 80 % d'entre nous.Face à cela, la question essentielle est simple : Que se passera-t-il quand l'intelligence deviendra une commodité ? Nous devrons alors préserver ce qui nous rend profondément humains :→ L'empathie→ La coopération→ La créativitéBernard Marr, auteur de « Future Skills », insiste : Le futur appartient à ceux qui maîtriseront les compétences humaines et numériques. L'enjeu ? Éviter de devenir obsolète face à une technologie omniprésente. À nous de choisir comment l'utiliser pour enrichir notre vie.Alors, prêt(e) à anticiper ce futur avec conscience ?

On this episode, Jeff is joined by AI and technology expert Bernard Marr to discuss the transformative power of artificial intelligence in today's business landscape. Bernard explains how AI, particularly generative and Agentic AI, is revolutionizing workflows, enhancing human capabilities, and reshaping leadership strategies. He emphasizes the importance of integrating AI without losing the human touch and offers insights into balancing efficiency with employee engagement. Bernard also delves into the risks of AI, such as data biases and ethical concerns, while sharing practical steps for leaders to foster trust and navigate the AI-driven future. Whether you're an AI novice or an experienced executive, this conversation provides valuable insights into leveraging AI to enhance both organizational performance and human connection. Future of Business and Technology Podcast Bernard Marr's Books

AI is being pitched as a solution for many of the world's greatest problems, including the environmental and ethical crisis that is fast fashion.  Is AI a real solution for a more sustainable fashion industry? Or is it just hype?This week's episode is a longer version of Amanda's recent talk about AI and fashion for the 2024 Fashion Changers conference in Berlin.Amanda breaks down the following on her journey to figure out if AI really can save fashion:What are the biggest issues that fashion faces right now?How could these problems be solved? And how does AI play a part in that?What causes overproduction?Why is AI so thirsty for electricity...AND water?How *could* AI support solutions for a more sustainable fashion industry?How is it *actually* be using by brands right now?And what is fashion without the creativity of humans?Get started on the the history of fast fashion with episode 175.Additional reading:"Old Navy's plus size experiment failed. It didn't have to," Elizabeth Segran, Fast Company."Cult-favorite fashion brand Selkie used AI to design its new clothes, and fans are disappointed," Amanda Krause, Business Insider."An AI-designed horse purse is tearing apart this small but passionate community," Mia Sato, The Verge."Pixel Perfect: The Rise Of AI Fashion Models," Bernard Marr, Forbes."The Rise of AI Fashion Models," Sam Gruet, Marketplace."Artificial intelligence technology behind ChatGPT was built in Iowa — with a lot of water," Matt O'Brien + Hannah Fingerhut, Associated Press."Why Microsoft made a deal to help restart Three Mile Island," Casey Crownhart, MIT Technology Review.Join the conversation on the Clotheshorse Slack! Sign up here!Get your Clotheshorse merch here: https://clotheshorsepodcast.com/shop/If you want to share your opinion/additional thoughts on the subjects we cover in each episode, feel free to email, whether it's a typed out message or an audio recording:  amanda@clotheshorse.worldDid you enjoy this episode? Consider "buying me a coffee" via Ko-fi: ko-fi.com/clotheshorseFind this episode's transcript (and so much more) at clotheshorsepodcast.comClotheshorse is brought to you with support from the following sustainable small businesses:The Pewter Thimble Is there a little bit of Italy in your soul? Are you an enthusiast of pre-loved decor and accessories? Bring vintage Italian style — and history — into your space with The Pewter Thimble (@thepewterthimble). We source useful and beautiful things, and mend them where needed. We also find gorgeous illustrations, and make them print-worthy. Tarot cards, tea towels and handpicked treasures, available to you from the comfort of your own home. Responsibly sourced from across Rome, lovingly renewed by fairly paid artists and artisans, with something for every budget. Discover more at thepewterthimble.comSt. Evens is an NYC-based vintage shop that is dedicated to bringing you those special pieces you'll reach for again and again. More than just a store, St. Evens is dedicated to sharing the stories and history behind the garments. 10% of all sales are donated to a different charitable organization each month.  New vintage is released every Thursday at wearStEvens.com, with previews of new pieces and more brought to you on Instagram at @wear_st.evens.Deco Denim is a startup based out of San Francisco, selling clothing and accessories that are sustainable, gender fluid, size inclusive and high quality--made to last for years to come. Deco Denim is trying to change the way you think about buying clothes. Founder Sarah Mattes wants to empower people to ask important questions like, “Where was this made? Was this garment made ethically? Is this fabric made of plastic? Can this garment be upcycled and if not, can it be recycled?” Signup at decodenim.com to receive $20 off your first purchase. They promise not to spam you and send out no more than 3 emails a month, with 2 of them surrounding education or a personal note from the Founder. Find them on Instagram as @deco.denim.Vagabond Vintage DTLV is a vintage clothing, accessories & decor reselling business based in Downtown Las Vegas. Not only do we sell in Las Vegas, but we are also located throughout resale markets in San Francisco as well as at a curated boutique called Lux and Ivy located in Indianapolis, Indiana. Jessica, the founder & owner of Vagabond Vintage DTLV, recently opened the first IRL location located in the Arts District of Downtown Las Vegas on August 5th. The shop has a strong emphasis on 60s & 70s garments, single stitch tee shirts & dreamy loungewear. Follow them on instagram, @vagabondvintage.dtlv and keep an eye out for their website coming fall of 2022.Country Feedback is a mom & pop record shop in Tarboro, North Carolina. They specialize in used rock, country, and soul and offer affordable vintage clothing and housewares. Do you have used records you want to sell? Country Feedback wants to buy them! Find us on Instagram @countryfeedbackvintageandvinyl or head downeast and visit our brick and mortar. All are welcome at this inclusive and family-friendly record shop in the country!Located in Whistler, Canada, Velvet Underground is a "velvet jungle" full of vintage and second-hand clothes, plants, a vegan cafe and lots of rad products from other small sustainable businesses. Our mission is to create a brand and community dedicated to promoting self-expression, as well as educating and inspiring a more sustainable and conscious lifestyle both for the people and the planet.Find us on Instagram @shop_velvetunderground or online at www.shopvelvetunderground.com

Key Moments: Jeremy KhanThe history of AI: the Turing Test and the Eliza Effect with Jeremy Khan (1:50)Jeremy's view on how we can learn from lessons of the past (9:00)It starts with data and people: leveraging AI to increase productivity (16:00)Sol RashidiSol Rashidi on failing to succeed in AI (31:00)The need for rogue executives (37:00)Sol's view on prioritizing GenAI use cases and measuring ROI (42:50)Bernard MarrBernard Marr on demystifying AI (60:02)Is society ready for AI's impact on augmenting jobs? (66:00)AI's impact on personalization of medicine, treatment and drug discovery (72:00)Key Quotes: Jeremy Khan“We're in a position where we can take action while this technology is still being shaped, to try to set some sensible guardrails. If we do that, we will see a lot of benefit from this technology. If we wait, we're going to be in a situation like with social media. We will have a deskilling of essential human cognitive abilities.”We don't talk enough about how to train people to use AI software. The organizations that think hardest about that are going to be very successful.”Sol Rashidi “Usually I start the conversations of how ROI shouldn't just be a financial measure. There's three ROI's in my opinion. There's a financial ROI, there's a cultural ROI, and there's a relevancy ROI.”“I am adamant that business value is not the number one marker. Everything needs to be scored and graded by criticality and complexity. And your criticality is a measure of ‘what is the impact if we don't do this?'”Bernard Marr“What we are seeing is we will see an augmentation of pretty much every single job. I can't think of many jobs that will not be augmented by GenAI. We need to really expect change as individuals.”“We must create a world where education is seen as something that never stops, that carries on. I believe that we are currently entering a hyper evolution cycle, with artificial intelligence right at the center of it.”Mentions: 'Mastering AI: A Survival Guide to Our Superpowered Future' by Jeremy Khan 'Your AI Survival Guide: Scraped Knees, Bruised Elbows, and Lessons Learned from Real-World AI Deployments' by Sol Rashidi'Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society' by Bernard MarrBios: About Jeremy Khan Jeremy Khan is an award-winning journalist for Fortune magazine, where he covers AI and other emerging technologies. Previously, he wrote about technology, including AI, for Bloomberg. His writing on a range of subjects has also appeared in The New York Times, Newsweek,The Atlantic, Smithsonian magazine, The Boston Globe, The New Republic, and Slate. An Ohio native, he now lives with his family in Oxford, England.About Sol RashidiWith 10 patents granted and winning numerous awards that include: 'Forbes AI Maverick & Visionary of the 21st Century', 'Top 100 People in AI', 'Global 100 Power List', 'Top 75 Innovators', 'CAO of the Year', 'Top 5 CDO's', 'Top 65 Most Influential Women', Sol Rashidi is an seasoned executive, leader, and influencer within the AI, data, and technology space. Sol's experience comes from real-world deployments where she has had to roll up her sleeves and do the work, while keeping the strategic intent in mind. Sol is currently Head of Technology for Startups, North America, at AWS.About Bernard MarrBernard Marr is a multi-award-winning and internationally best-selling author of over 20 books, who writes a regular column for Forbes and advises and works with many of the world's best-known organizations. He has a combined following of 4 million people across his social media channels and newsletters and was ranked by LinkedIn as one of the top 5 business influencers in the world. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

To provide some summer listening by the pool, and to act as a 'previously on...' for Season 4, AI has taken over the show and has complied some highlights from recent seasons.In this grand summer finale, our AI duo, GE0-RGE and L1-LLE, take you on a tour of the team's greatest discussions from season 3. Get ready for the best of the best, including... 00:40 Bart Groothuis, Member of the European Parliament: Making invisible threats visible with legislation.05:06 Jacqueline Hanson, Department for Work and Pensions (DWP): How to update outdated systems and handle cost vs. risk.08:18 Bernard Marr, Author & Futurist: The top trends and the hype cycle.18:00 Bas Kamphuis, Wingspan: The dark art of private equity.24:48 Mark Butcher, Posetiv: Can cost be a proxy for sustainability?27:32 Justin Keeble, Google: How Unilever is using AI in their supply chains.28:35 Father Paolo Benanti, Vatican: How are they thinking about AI?32:31 Roisin McCarthy, Women in Data: Promoting women in tech.HostsGE0-RGE: Genuine Eng-spkr 0 - Repartee Generation Engine - currently doesn't have a LinkedInL1-LLE: Level 1 - Longform Loquaciousness Engine - currently doesn't have a LinkedInDave Chapman: https://www.linkedin.com/in/chapmandr/Sjoukje Zaal: https://www.linkedin.com/in/sjoukjezaal/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionNathaniel Tapley https://www.linkedin.com/in/nathanieltapley/Marcel Van Der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/

To provide some summer listening on the beach, and to act as a bit of a 'previously on...' for Season 4, AI has taken over the show for four special episodes of some highlights from recent seasons.  In this first of the four episodes, our hosts G0r-GE and Lil-E, somewhat self indulgently, guide us through some of the conversations the team have had on AI itself, including...00:34 Erwan Menard, Google: Innovation & sustainability meet AI03:40 Gretchen Alarcon, ServiceNow: How employees will use AI in the future07:13 Roisin McCarthy, Women in Data®: AI and gender parity09:07 Bernard Marr, Author & Futurist: Scaling GenAI10:50 Rainer Karcher, Allianz: The realities of AI13:10 Father Paolo Benanti, Vatican: The direction of AI16:05 Bart Groothuis, European Parliament: The rise of AI20:35 Cory O'Daniel, Massdriver: Why he's tough on AI 28:50 A final word to Father Paolo Benanti: Six principles on AIHostsGE0-RGE: Genuine Emote 0 - Repartee Generation Engine - currently doesn't have a LinkedInL1-LLE: Level 1 - Longform Loquaciousness Engine - currently doesn't have a LinkedInDave Chapman: https://www.linkedin.com/in/chapmandr/Sjoukje Zaal: https://www.linkedin.com/in/sjoukjezaal/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionNathaniel Tapley https://www.linkedin.com/in/nathanieltapley/Marcel Van Der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/

Bernard Marr is a world-renowned futurist, influencer, and thought leader in the fields of business and technology. With a passion for leveraging technology for the good of humanity, Bernard is a bestselling author of over 20 books, writes a regular column for Forbes, and advises and coaches many of the world's best-known organizations. Boasting a combined following of 4 million people across social media channels and newsletters, Bernard was ranked by LinkedIn as one of the top five business influencers globally. His latest books include "Future Skills," "The Future Internet: Business Trends and Practice," and "Generative AI in Practice." In this conversation, we discuss:Bernard's journey into the AI and technology space, from his academic background to his consulting and writing career.The evolution of the AI landscape, from analytics and big data to modern AI applications and trends.How Bernard simplifies complex technical topics for a mainstream audience in his books and writings.Insights from Bernard's latest book, "Generative AI in Practice," and what readers can expect to learn from it.The role of AI in business decision-making and strategy, based on Bernard's extensive consulting experience.The ethical considerations and societal impacts of AI advancements, and how they shape the future of work.ResourceConnect with BernardAI fun fact articleAn episode you might like about the future of audio engineering

Különös támadás alatt állnak a Facebook felhasználók ITBusiness     2024-06-03 05:15:33     Infotech A Facebook felhasználóit váratlan formában és módon éri a növekvő mértékű támadás. Az online fórumok hemzsegnek a dühödt felhasználók bejegyzéseitől, akik nem képesek normálisan használni a platformot az állandósulni látszó jelenség miatt. A probléma pedig nem más, mint a spam taggelés. A Meta beállításai ráadásul nem kínálnak túl egyszerű módot a Már nem a Samsung csücsül a hajtogathatós mobilok trónján PCW     2024-06-03 07:01:16     Mobiltech Samsung Dél-Korea Több gyártó is jelentős növekedést tudott felmutatni a tavalyi számokhoz képest, egyikük pedig emiatt még a dél-koreai techóriást is lenyomta. Filmbe illő luxusban élt a rekord méretű botnet gazdája Bitport     2024-06-03 07:54:00     Infotech USA Luxus Az amerikai hatóságok összehangolt nemzetközi akció keretében kapcsolták le a bűnözőt, aki saját maga közel 100 millió dollárt keresett a hálózattal, ügyfelei pedig sok milliárd dolláros kárt okozhattak a segítségével. Mutatjuk a múlt hét 10 legkeresettebb telefonját Android Portál     2024-06-03 12:12:31     Mobiltech Telefon Trend Samsung Véget ért a 22. hét, nézzük meg az elmúlt hét nap legnépszerűbb telefonjait, a listát a GSMArena állította össze. Ismét a Samsung Galaxy A55-öt látjuk a trendi táblázatunk élén, amelyet a múlt heti bajnok – a Poco F6 – követ. A Poco újonnan bejelentett duójának másik tagja, az F6 Pro a harmadik helyen áll, míg Gyerekeknek szól a Google új okosórája InStyle Men     2024-06-03 05:10:18     Mobiltech Google Okosóra A legszükségesebb funkciókat tudja, a szülői felügyeletet is segíti, ráadásul nem is néz ki rosszul. Valószínűleg orosz kibertámadás érte a lengyel hírügynökséget Mínuszos     2024-06-03 04:33:00     Infotech Lengyelország Hacker Kiberbiztonság Hoax Mozgósítás Kibertámadás Álhír Valószínűleg orosz kibertámadás érte pénteken a lengyel állami hírügynökséget (PAP) – jelentette ki Jacek Dobrzyński, a különleges szolgálatok miniszteri koordinátorának szóvivője, miután a PAP hírfolyamában álhír jelent meg Lengyelország katonai mozgósításról. „Minden jel arra utal, hogy orosz oldalról irányított kibertámadással állunk szemben” — Madár és ember nem mindennapi találkozása romantika nélkül Player     2024-06-03 12:00:39     Infotech A The Slow Mo Guys találékony koponyái ezúttal azt próbálták kideríteni, hogy milyen lehet az, amikor egy 120 km/h-val száguldozó madár az arcunkban landol. Kapcsolatok is múlhatnak egy jó portréfotón a Honor 10 ezer fős kutatása szerint Digital Hungary     2024-06-03 07:35:00     Mobiltech Telefon Felmérés Honor Az európaiak 75%-a nem elégedett elsőre az általa készített portéfotóval, rendszeresen több felvételt készít, míg létrejön az ideális fotó, és átlagosan 268“fotó kudarcot” tárolunk a telefonunkon – derült ki egy, a közelmúltban végzett felmérésből. A megkérdezettek 6 százaléka szóba sem állna olyan valakivel, aki nem tud jó fotót csinálni a telefon Miért nem veszi át a közeljövőben a világ feletti uralmat a mesterséges intelligencia? ICT Global     2024-06-03 06:11:57     Infotech Mesterséges intelligencia A mesterséges intelligencia fejlődésével, a generatív MI forradalmával és a technológia egyre szélesebb körű mindennapos használatával ismét felerősödtek a kételyek, egyre gyakoribban kongatják a vészharangokat, mind többen vizionálnak disztópikus sci-fik ihlette forgatókönyveket. Ezeket cáfolja Bernard Marr futurológus. Olyan távoli galaxist fotózott a James Webb, mint még soha TechWorld     2024-06-03 06:02:53     Tudomány Világűr NASA James Webb Az általunk ismert Univerzum legősibb galaxisáról készítettek felvételt a NASA tudósai.  A James Webb űrteleszkópnak sikerült lencsevégre kapnia az eddig ismert legősibb galaxist, amely már akkoriban is létezett, amikor a kozmosz mindössze 300 millió éves volt. A rekorder galaxis nemcsak a távolsága miatt figyelemreméltó, hanem a mérete és a fényes Látványos égi jelenség közeledik, távcső sem kell hozzá Travelo     2024-06-03 10:39:05     Tudomány Világűr A két évvel ezelőtti csillagászati eseménynél is jelentősebb lehet. Robotoktól való félelem súlyosbíthatja a munkaerőhiányt a vendéglátásban HR Portál     2024-06-03 05:30:45     Karrier Robot Stressz Azok a dolgozók, akik attól tartanak, hogy robotok helyettesítik őket, nagyobb valószínűséggel számolnak be stresszről és nagyobb eséllyel gondolnak a felmondásra – derül ki egy friss kutatásból. Gyilkos robotok és robotok gyilkosai – a mesterséges intelligencia teljesen átalakítja a háborúkat Infostart     2024-06-03 06:00:00     Tudomány USA háború Mesterséges intelligencia Robot Washington A napokban rendezték meg Washingtonban a mesterséges intelligenciát fejlesztő cégek második találkozóját. Az Egyesült Államokban egyre több olyan fegyver jelenik meg, amelynek vezérlését már MI segíti. A további adásainkat keresd a podcast.hirstart.hu oldalunkon.

Különös támadás alatt állnak a Facebook felhasználók ITBusiness     2024-06-03 05:15:33     Infotech A Facebook felhasználóit váratlan formában és módon éri a növekvő mértékű támadás. Az online fórumok hemzsegnek a dühödt felhasználók bejegyzéseitől, akik nem képesek normálisan használni a platformot az állandósulni látszó jelenség miatt. A probléma pedig nem más, mint a spam taggelés. A Meta beállításai ráadásul nem kínálnak túl egyszerű módot a Már nem a Samsung csücsül a hajtogathatós mobilok trónján PCW     2024-06-03 07:01:16     Mobiltech Samsung Dél-Korea Több gyártó is jelentős növekedést tudott felmutatni a tavalyi számokhoz képest, egyikük pedig emiatt még a dél-koreai techóriást is lenyomta. Filmbe illő luxusban élt a rekord méretű botnet gazdája Bitport     2024-06-03 07:54:00     Infotech USA Luxus Az amerikai hatóságok összehangolt nemzetközi akció keretében kapcsolták le a bűnözőt, aki saját maga közel 100 millió dollárt keresett a hálózattal, ügyfelei pedig sok milliárd dolláros kárt okozhattak a segítségével. Mutatjuk a múlt hét 10 legkeresettebb telefonját Android Portál     2024-06-03 12:12:31     Mobiltech Telefon Trend Samsung Véget ért a 22. hét, nézzük meg az elmúlt hét nap legnépszerűbb telefonjait, a listát a GSMArena állította össze. Ismét a Samsung Galaxy A55-öt látjuk a trendi táblázatunk élén, amelyet a múlt heti bajnok – a Poco F6 – követ. A Poco újonnan bejelentett duójának másik tagja, az F6 Pro a harmadik helyen áll, míg Gyerekeknek szól a Google új okosórája InStyle Men     2024-06-03 05:10:18     Mobiltech Google Okosóra A legszükségesebb funkciókat tudja, a szülői felügyeletet is segíti, ráadásul nem is néz ki rosszul. Valószínűleg orosz kibertámadás érte a lengyel hírügynökséget Mínuszos     2024-06-03 04:33:00     Infotech Lengyelország Hacker Kiberbiztonság Hoax Mozgósítás Kibertámadás Álhír Valószínűleg orosz kibertámadás érte pénteken a lengyel állami hírügynökséget (PAP) – jelentette ki Jacek Dobrzyński, a különleges szolgálatok miniszteri koordinátorának szóvivője, miután a PAP hírfolyamában álhír jelent meg Lengyelország katonai mozgósításról. „Minden jel arra utal, hogy orosz oldalról irányított kibertámadással állunk szemben” — Madár és ember nem mindennapi találkozása romantika nélkül Player     2024-06-03 12:00:39     Infotech A The Slow Mo Guys találékony koponyái ezúttal azt próbálták kideríteni, hogy milyen lehet az, amikor egy 120 km/h-val száguldozó madár az arcunkban landol. Kapcsolatok is múlhatnak egy jó portréfotón a Honor 10 ezer fős kutatása szerint Digital Hungary     2024-06-03 07:35:00     Mobiltech Telefon Felmérés Honor Az európaiak 75%-a nem elégedett elsőre az általa készített portéfotóval, rendszeresen több felvételt készít, míg létrejön az ideális fotó, és átlagosan 268“fotó kudarcot” tárolunk a telefonunkon – derült ki egy, a közelmúltban végzett felmérésből. A megkérdezettek 6 százaléka szóba sem állna olyan valakivel, aki nem tud jó fotót csinálni a telefon Miért nem veszi át a közeljövőben a világ feletti uralmat a mesterséges intelligencia? ICT Global     2024-06-03 06:11:57     Infotech Mesterséges intelligencia A mesterséges intelligencia fejlődésével, a generatív MI forradalmával és a technológia egyre szélesebb körű mindennapos használatával ismét felerősödtek a kételyek, egyre gyakoribban kongatják a vészharangokat, mind többen vizionálnak disztópikus sci-fik ihlette forgatókönyveket. Ezeket cáfolja Bernard Marr futurológus. Olyan távoli galaxist fotózott a James Webb, mint még soha TechWorld     2024-06-03 06:02:53     Tudomány Világűr NASA James Webb Az általunk ismert Univerzum legősibb galaxisáról készítettek felvételt a NASA tudósai.  A James Webb űrteleszkópnak sikerült lencsevégre kapnia az eddig ismert legősibb galaxist, amely már akkoriban is létezett, amikor a kozmosz mindössze 300 millió éves volt. A rekorder galaxis nemcsak a távolsága miatt figyelemreméltó, hanem a mérete és a fényes Látványos égi jelenség közeledik, távcső sem kell hozzá Travelo     2024-06-03 10:39:05     Tudomány Világűr A két évvel ezelőtti csillagászati eseménynél is jelentősebb lehet. Robotoktól való félelem súlyosbíthatja a munkaerőhiányt a vendéglátásban HR Portál     2024-06-03 05:30:45     Karrier Robot Stressz Azok a dolgozók, akik attól tartanak, hogy robotok helyettesítik őket, nagyobb valószínűséggel számolnak be stresszről és nagyobb eséllyel gondolnak a felmondásra – derül ki egy friss kutatásból. Gyilkos robotok és robotok gyilkosai – a mesterséges intelligencia teljesen átalakítja a háborúkat Infostart     2024-06-03 06:00:00     Tudomány USA háború Mesterséges intelligencia Robot Washington A napokban rendezték meg Washingtonban a mesterséges intelligenciát fejlesztő cégek második találkozóját. Az Egyesült Államokban egyre több olyan fegyver jelenik meg, amelynek vezérlését már MI segíti. A további adásainkat keresd a podcast.hirstart.hu oldalunkon.

How far has GenAI come beyond the tech innovation in the last 18 months - we hear a lot about the latest amazing advancements, but with its business application, are we still stuck in a PoC loop?This week Dave and Rob talk to Bernard Marr, Futurist, Tech & Strategy Advisor about his work to date (over 20 books!) and his new book 'Generative AI in practice. 100 amazing ways it is changing our world'.  We touch on evolution of AI, effect on business and society and the risks and challenges as AI scales.TLD01:21:  Optimistic Spam06:25: Cloud conversation with Bernard Marr44:44: The rise of AI assistants52:35:  Keynote in Boston!GuestBernard Marr: https://www.linkedin.com/in/bernardmarr/Book: Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society: https://www.amazon.com/Generative-AI-Practice-Artificial-Intelligence/dp/1394245564HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel Van Der Burg: https://www.linkedin.com/in/marcel-van-der-burg-99a655/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.co

Hear Jon Krohn's favorite five clips from his April interviews. Chief Scientist at Posit PBC Hadley Wickham on the subtle differences between Python and R. Professor of Business Analytics Barrett Thomas walks through the variables that companies should consider when using drones or any other tech to improve their business operations and bottom line. Aleksa Gordić, Founder of Runa AI believes an overhaul of the current educational system is long overdue. Bernard Marr discusses the future of GenAI and its impact on the world of work. And SuperDataScience founder Kirill Eremenko gives a lively workshop on gradient boosting. Additional materials: www.superdatascience.com/782 Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Generative AI is reshaping our world, and Bernard Marr, world-renowned futurist and best-selling author, joins Jon Krohn to guide us through this transformation. In this episode, Bernard shares his insights on how AI is transforming industries, revolutionizing daily life, and addressing global challenges. With his extensive experience advising top organizations worldwide, he also examines the ethical considerations of AI deployment. This episode is brought to you by Intel and HPE Ezmeral Software (https://bit.ly/hpeintel). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information. In this episode you will learn: • How Generative AI will transform industries [03:55] • The evolution of Generative AI [10:19] • How will Generative AI impact daily life [16:52] • The ethical challenges of AI [18:55] • How corporations can harness Generative AI for collaboration [24:36] • Industries that will be impacted by Generative AI [32:20] • How Sora-like Generative AI systems will create highly immersive entertainment [42:16] • How Generative AI could unlock 99% of business data [53:34] Additional materials: www.superdatascience.com/777

Bernard Marr, an internationally best-selling author, popular keynote speaker, futurist, and strategic business & technology advisor, spoke to Rudolf Falat, founder of the Voice of FinTech podcast, about what generative AI can mean for all of us!Here is what they talked about in more detail:Bernard's story: how he got to do what he does todayMany people recently opened up to AI with the advent of GenAI. But AI has been with us for much longer, right? An overview of AI developments since the Dartmouth Conference in the 1950s till nowWhy has GenAI, in particular, gained such traction?Why does Bernard think GenAI is the most powerful technology humans have ever had access to?How is GenAI changing the game for various industries, including retail, healthcare, finance, education, manufacturing, marketing, entertainment, sports, coding, and more?How will GenAI interact with other transformative technologies (gene editing, immersive internet, conventional AI, blockchain, quantum computing, etc.) to create a world of hyper-innovatiWhat'saGenAI'sAI's impact on everyday activities such as searching for information, cooking, and traveling?How to navigate the unique risks and challenges GenAI poses (including ethical concerns of GenAI such as misinformation, disinformation, and deep fakes, particularly in an election yeaWhat'saBernard'srd's estimateGenAI'sAI's impact on the job market: what types of work will be replaced or significantly altered by this groundbreaking technologyCheck out his upcoming book, Generative AI in PracticeThe best way to reach out and find out more on Bernard Marr website

As technology advances at an unprecedented pace, the future of HR and its people strategies are going to be data-driven. However, as we navigate through this digital transformation, finding the optimal equilibrium between human intervention and AI automation within HR processes is key if we are to effectively harness the potential of these technological advancements.In this episode of the Digital HR Leaders Podcast, David Green, and guest Bernard Marr, the author of "Data-Driven HR: How to Use AI, Analytics and Data to Drive Performance," delve deeper into this critical balance and its implications for the future of HR.Therefore, listeners can expect to learn more about:Insights into how HR is transitioning towards a data-driven approach, highlighting the pivotal role of AI, analytics, and data in reshaping HR strategies;Real-world examples and use cases where the synergy between human expertise and AI automation is most beneficial in HR;The ethical considerations surrounding the integration of AI in HR, ensuring fairness, transparency, and compliance;The transformative potential of immersive technologies like VR and the metaverse in enhancing the employee experience;How AI is revolutionising the field of people analytics and enabling HR professionals to make more informed decisions;The essential skills that both current and future HR and people analytics professionals and leaders should cultivate to thrive in this era of rapid technological advancement;The pivotal role of HR in redefining workforce skillsets for effective collaboration with AI and emerging technologiesThis episode is for current and aspiring HR and people analytics leaders seeking valuable insights into striking the balance between data-driven decision-making and human intervention, as well as understanding the transformative potential of AI, analytics, and immersive technologies within HR.Support from this podcast comes from ScreenCloud – the digital signage platform that helps HR around the globe elevate their digital employee experience, with 'screens that communicate'.To learn how ScreenCloud can enable your organisation to increase employee engagement, drive productivity, and improve compliance, visit screencloud.com Hosted on Acast. See acast.com/privacy for more information.

How does Netflix use customer data to commission new content? How is AI impacting the world of human workers? What can we learn from a fish farm in Sweden? All this and more with futurist Bernard Marr.

Abordamos cuáles serán las profesiones más demandadas por las empresas españolas durante los próximos meses que nos comparte Pablo Mora en la muyinteresante.es. En base a datos y estudios recientes, se pueden identificar algunas tendencias generales que podrían determinar la demanda laboral del año que comienza. Por ejemplo, tomando como referencia el informe más reciente de ‘The Future of Jobs' (2023), publicado por el Foro Económico Mundial, la tecnología seguirá siendo una de las protagonistas del mundo laboral. “En 2024, podemos esperar un mayor desarrollo de muchas de las tendencias que han reconfigurado nuestra vida laboral en los últimos años”, señala el alemán Bernard Marr, formado en Cambridge como experto en empresariales, ingeniería e informática. Te cuento a continuación profesiones demandadas este 2024. Comparte nuestro podcast en tus redes sociales, puedes realizar una valoración de 5 estrellas en Apple Podcast o Spotify. Dirección, locución y producción: Iván Patxi Gómez Gallego Contacto de publicidad en podcast: podcast@zinetmedia.es

Bernard Marr, a world-renowned futurist, influencer and thought leader in the fields of business and technology, and a best-selling author of 20 books, wrote in a blog post on his site that as AI increases in sophistication at an alarming rate, we will continue to see more sophisticated and smart AI-powered attacks. In this episode, host Paul John Spaulding is joined by Steve Morgan, Founder of Cybersecurity Ventures and Editor-in-Chief at Cybercrime Magazine, to discuss. The Cybercrime Magazine Update airs weekly and covers the latest news, interviews, podcasts, reports, videos, and special productions from Cybercrime Magazine, published by Cybersecurity Ventures. For more on cybersecurity, visit us at https://cybersecurityventures.com

Have you been wondering how AI will impact the future of digital marketing and content creation? In this episode we talk with Maria Osipova, CMO at Penny AI and one of the lead educators in Gigantic's Generative AI course, to dissect the role AI can and will play in marketing. Gain insight into how these technologies are revolutionizing various sectors, including media, marketing and sales. We delve into the limitations and opportunities of AI in content creation, Maria's favorite ChatGPT plugins and tips for marketers wanting to navigate this new terrain successfully. An episode packed with valuable insights and tips, this is your chance to stay ahead of the curve in the ever-evolving world of AI and marketing.Learn more from Maria: https://gigantic.is/courses/ai-marketing Subscribe to Arcade's Newsletter, SCAN

In this hour-long episode, the Four Eyes hosts dive deep into a conversation with Dr. Davinder Sidhu, an Optometrist practicing in British Columbia, regarding business metrics that apply to business owners and associate doctors. This is a very rare topic of discussion for young Optometrists, as business training is not taught in most Optometry schools. Dr. Sidhu shares very detailed information about the numbers we should be paying attention to in a practice, and how we can use those numbers to increase profits as well as patient satisfaction. The best part about this episode is that Dr. Sidhu's advice applies not just to business owners, but also young associate Optometrists who are wanting to grow and become more involved within their practice location.  You will not find the depth of this information anywhere else in the Optometry world, so be sure to listen to the entire episode and take down notes! The Four Eyes Podcast is brought to you by YoungOD Connect Learn more about Dr. Davinder Sidhu Check out these resources mentioned in today's episode: Review of Optometric Business; ODs on Finance; Eyecare Business Magazine; Optometric Management; The E-Myth Revisited by Michael E. Gerber; Key Performance Indicators by Bernard Marr; Measure School on Youtube

Hear what good leaders should really be thinking about  Richard Medcalf describes himself as "what you get if you were to put a McKinsey consultant, a slightly unorthodox pastor and an entrepreneur into a blender.” In this podcast, you'll hear from an amazing thinker who has tackled strategic challenges in companies all over the world. In his new book, Making Time for Strategy, Richard speaks about the difficulties he has encountered working with high-powered leaders. Far too often, they find themselves focused on the wrong things---from how to respond to emails to how to get tasks completed on time. Instead, Richard preaches that a leader's mindset should be focused on the future, where the organization is going, and how everyone in that organization needs to be aligned around a core strategy to get it there. Listen and learn! Watch and listen to our conversation here Richard outlines four important ways you can refocus your time and energy to get where you want to go and find pleasure in the journey of getting there (TIME): Tactics Influence Mindset Environment About Richard Medcalf Richard founded xquadrant in 2017 with the mission of helping elite leaders reinvent their success formula and multiply their impact on their purpose, their people and their profit. He is bi-national (English and French), lives near Paris, and is also a licensed lay minister in the Anglican Church. You can connect with him on LinkedIn, Twitter and the xquadrant website. Ready to be a better leader? We recommend these for great learning: Blog: How To Be A Highly Effective Leader During Turbulent Times: The Five Things You Need To Know Podcast: Sara Canaday—Can You See The Gaps That Are Holding You Back From Being A Great Leader? Podcast: Kris Baird—Yes, You Can Teach A Leader How To Lead Additional resources for you My two award-winning books: Rethink: Smashing The Myths of Women in Businessand On the Brink: A Fresh Lens to Take Your Business to New Heights Our website: Simon Associates Management Consultants   Read the transcript of our podcast here Andi Simon: Welcome to On the Brink With Andi Simon. Hi, I'm Andi Simon. I'm your host and your guide. And my job is to help you get off the brink. I want you to see, feel and think in new ways, so that you can change. And if you come here and listen, you know that each time I bring you somebody new, it's because they've done something that really is transformative in some fashion. They're tackling a problem that my listeners, my audiences, my viewers are all tackling as well. And I'm so really honored today to have Richard Medcalf here from Paris. And it's a wonderful opportunity for us to share his new book, Making Time for Strategy, but also to share Richard. Let me give you a little bit of Richard's personality. He sends me an email, and he wants to be on my podcast. Why? "The first thing is because I'm a fan," he said. "I will thank you for the time and energy you invest in putting this out into the world." I have not had many of those emails, even though I have lots of emails from our listeners. But that was really a sweet opener. The second: he said he was sure that my audience, our audience, will find value in the topic, because many of our listeners will be running teams or businesses and hitting the ceiling of complexity, as daily operational demands suck all their time, leaving no space for strategic thinking. Now I'm a Blue Ocean Strategist. I work with lots and lots of companies who are seeking to create markets, not simply compete in them, which is Blue Ocean thinking. And they often get so tied up in making the plan, they forget they have to do something with it. And conversely, though, if they don't think about the plan, all their actions can take them nowhere, a very good point we're going to focus on. And Richard thinks I'm a good speaker, which we will see today, because I think he's a good speaker. He describes himself as what you get if you were to put a McKinsey consultant, a slightly unorthodox pastor, and an entrepreneur into a blender. So you have an idea of what we're going to talk about today. He's the founder of xquadrant, and a trusted adviser to exceptional CEOs and entrepreneurs and their leadership teams. I think you're going to enjoy him because he has advised all kinds of folks in all large and small companies. We're going to let you hear his story from his own perspective. It's much better than reading it. But he's binational. He's both English and French and lives near Paris, happily married and the proud father of two. He's also a licensed lay minister in the Anglican Church, and has an insatiable love for spicy food and the electric guitar. Is that enough for us to think of this mash up today? Richard Medcalf is joining me now. So happy to have you on today. Richard Medcalf: Yeah, thank you, Andi. Pleasure to be here. And thank you for the great intro. Andi Simon: Tell our listeners and our viewers who is Richard Medcalf, because your background is rich with experiences that have led you now into your own business. I liked what you discovered as you were wandering through. You have been very successful, whether it was Cisco or elsewhere, and who are you so that they can now understand why you're so focused on making time for strategy. Richard Medcalf: Yeah, thanks, Andi. Well, obviously strap yourself in if you've got a spare six hours, because talking about myself is my favorite topic. So here we go. I'll try to keep it brief. I better keep it brief. But so yeah, so I grew up in the UK. Started at Oxford University, went into strategy consulting, started at that point to move over to Paris. Five years later, I'm still here. I'm married to a French woman and have bilingual kids and everything else. So life doesn't always take you in ways that you expect. When I was at Bynum, in my strategy consulting company, I became the youngest ever partner. I'd been there about 10 years, and decided it was time to become a smaller fish in a bigger pond, rather than a big fish in a small pond. And Cisco was knocking at my door, and I thought it'd be interesting, you know, a huge tech company. Joining them, I did various roles. The last role was a small team set up by the CEO of Cisco and its chairman in order to kind of catalyze strategic relationships between Cisco and its key customers. I like to describe it as fulfilling rash commitments made by the chief exec when he was talking to big customers. And that was all great. And I enjoyed that. And it was quite prestigious in its own way and all the rest of it. But I got to a moment when I said, you know, Richard, what do you want as a legacy? What do you want to tell your great grandchildren in the future when you're 90 and they're on your knee, and they're asking you about your professional life, what you did in your job? And I realized that although I really enjoy and I still enjoy creating financial results for my clients, and back in the day, I was doing that a lot. I realized I didn't want to just talk about how I helped AT or whoever it was, increase the EBITDA margin by 1%. So I started to think, well, what do I really want? What are the real stories that I want to tell, you know, of my life and my professional life? And that's when I started to really deep dive into, what makes me different? What's my biggest gift? What's my passion, all that kind of stuff. And I started to realize that I went to work at this intersection of leadership, strategy and purpose, or to put it another way, helping people, great leaders. I suppose the way I now describe it, or they didn't describe it that way at the time, was, I want to help great leaders reinvent themselves to achieve breakthrough goals that change the world. So there's a few things in there, that personal transformation, and it's about making a positive impact in the world. So up to now, I've given you all the external facts that allowed me to build this business and my new business. You know, I work with amazing leaders, CEOs of billion dollar companies, some of the founders of scaleups, tech unicorns. One of my clients is an Olympic medalist and is now building a billion dollar business. Another of my clients was nominated as Entrepreneur of the Year by Ernst and Young. These are amazing people. But they're already impressive, but they're looking to connect their impact or make it make a big difference. But let me take you back to my childhood. With me, my sister was born mentally handicapped, very seriously mentally handicapped. She passed away just a couple of months ago. And she made a huge impact on me. She was an amazing character, very determined, very joyful. But we had very different paths. You know, like she stayed at home, she needed 24 hour care, a whole care team. She couldn't be left alone. Basically, she was so needy. Andi Simon: Yes, but it sounds like it had a big impact on who you were. Richard Medcalf: And yeah, I've realized that recently. Yeah, I realized that recently. I mean, I had this high flying career, went to Oxford. I went to a high tier strategy consulting company. I went to Cisco. I started my business. I move countries, all this stuff. And she didn't do any of that. And so I have this real sense that when we have the gifts, the talents, the resources, the opportunities, we kind of owe it to the world to make it a better place and to make an impact. And yet I see so often, we end up in our comfort zone, scared of doing things because we're a bit worried about what we might lose if we were to dare to do something different. Even when we're playing a big game, we can be busy, but in our comfort zone. So impact is a huge word for me because of that impact. Andi Simon: It's interesting, I read an article this morning about purpose. And don't worry about purpose unless you have an impact. Purpose-driven companies don't necessarily do anything, they just have a purpose, and actually I worked with one about a month ago. But your point about having impact is important for our listeners, because you are coming to that epiphany, that aha moment, where more of the same of what you're doing, even if it's financially lucrative, or even if it's for good companies, isn't personally purposeful. And that becomes a real interesting driver for you of what your calling is and why it's so important that you choose where you go, and you do it in a very intentional fashion, so that you have your own legacy and can answer to those kids and grandkids. You know why I've done what I've done in this life? Because it has made other lives better. So tell us from your company perspective, as well as from the book. You know, my segue is, how are you doing that? Richard Medcalf: How am I making that impact? Well, I think concretely, what I do, we're one-on-one with high-end leaders, CEOs or founders, entrepreneurs, sometimes C-suite leaders with their teams. I have a couple of programs that I run with perhaps more junior leaders. And I'm always helping them think about how they don't need to challenge my thinking. Where do I need to shift who I'm being as a leader in order to achieve things which right now are outside my zone as a reference? And, you know, what is that? What's really important? I think it's the fundamental question of what's really important in terms of what I want to accomplish, what's really important in terms of where I put my attention and my focus? What's really important in terms of where I build my skills? I think I described myself as being strategically lazy. I've always been a strategist. So my life, you know, it's why I got to the top, first at Oxford University, because I just knew where to put the focus, and what was important, what wasn't so important when I was studying. And I think it's strategic laziness. I just want to get a big result by focusing my efforts on the key areas. So I think I bring that to all these different parts of leadership, from ambition to goal setting to habit formation to dealing with people. That's kind of, I guess, the fundamental part. But what I find is that in all those conversations, whenever I sat down with a new leader, and we were looking at how you're going to multiply your impact, how you're going to, really just in the exponential, how you're going to break through, the first conversation we would always have, and he was like, "Yeah, I'd love to do that Richard. But right now, to be honest, I'm just so overloaded. I've got so much on my plate. You know, where do I go? Where do I go from here? And how do I even make time for all this exciting stuff?" I know, it's possible for me because that really was the seed of the book that I've now written. Andi Simon: But it's an interesting reflection. I am an anthropologist, and you're an observer. And as you're talking, I'm thinking about you meeting with your clients and listening to their stories, because we're story creators. And the story was a catalyst to change your own story in your mind. And I often preach that because telling stories isn't incidental, it doesn't stay outside of the other person. And as you're talking and sharing your story, our listeners' stories are also changing. But what's important is, as you're coaching your clients and they're sharing their sense of pain, success has now turned into, "I no longer have a vision, I no longer can see where we're going. I'm not even quite sure how it's all aligned with a strategy." You had an epiphany, a moment, which said, Wow, there's something here beyond simply helping them personally transform it that could be instrumental for them to get back to being the big leaders who are supposed to be visionaries. And they're not supposed to be worried about managing the tactical details. They're supposed to be leading people into some particular direction. So once you had this epiphany, then the book came out of it. Richard Medcalf: The first thing I want to just clarify is, for me, strategy is really a shorthand for strategic activity. So as a top leader, we might lead literally focusing on corporate strategy. But no matter where we are in the organization, we always need to focus on what is the most strategic, what's going to move the needle, what's going to have the biggest leverage. And that's really, when I talk about strategy, I mean that. So for somebody, that literally is: "I need to think about the vision and strategy for my company." But then I need to just step back and think about how am I going to maximize the impact for my business unit, or my department or my team or myself? So, yes, I think the book came out not necessarily immediately, but I started to go, "I've got stories here." I realized that a lot of people think that what they need is a time management book, a productivity tip that you think about how to maximize, filter their emails better or something. What I realized was that no, the breakthorughs my clients had were in these deep conversations. They weren't just in the area of tactics, which can be important, but it's not everything. So with the book, I wanted to really bring, if you like a transformation perspective, to this question of how do I free myself up for this? So because I realized that was what my clients were dealing with, they knew that theory about, you know, working on the important things, even if they're not urgent, and this kind of stuff, they knew all that. But what was really getting in their way. And when I realized this, I came to a few key areas I wanted to share. I tested it with those leaders. I tested it with a couple of group programs that I ran with multiple leaders from different companies in and then I realized, yeah, there's a book in this. It's actually quite easy to write because they've got the experience. Andi Simon: Pause for a second, Richard, because what you're saying is, while they didn't need time management, the title of your book is Making Time for Strategy. And so I just want to make sure that the listener understands that it isn't simply reorganizing your to-do list or your calendar for the day, it's a different way of thinking about what is important, and you're seeing, also it's not just for the senior leadership teams. This should be on every person in that organization's thinking about what it is that matters. So I can also not do things that are off-strategy and are done the way we've always done it, but don't need to be done anymore. Am I hearing you correctly? Richard Medcalf: Yeah, that's right. I mean, the way I see it, we live in a world of infinity. There is infinite stuff available to us for the first time ever. We've got infinite messages in our inbox, IM messaging platforms, infinite social media opportunities to converse and connect with people, infinite content to consume, to stream, to read, to whatever. It's just like, the more we look at, the more recommendations we get, and we have more to look at. So it's never ending. And so there's so many opportunities for every leader. It's infinity. And so we can't beat infinity with productivity. Most people, they hit the accelerator, they try to go faster and faster. And they find within hours in the day, they've hit the ceiling of complexity, as it can be called. Where do we go from here? And what I found is, we need to level up. We need to change gear, we can't change gear when one foot's on the accelerator. We have to start to invest our time, rather than investing more in your business and you're making like zero profit. You've got to invest in the future. You can't make things better, probably you're going to have your costs go up over time and you're going to get a business. Most leaders are running their life like that business. They're using their time. Every day is going and they've not got any margin available to invest in the breakthrough activities to invest in the future. And so they're just running along on a hamster wheel. Andi Simon: So I'm curious, what did you advise in your book Making Time for Strategy to help them get off that hamster wheel, reassess, and now invest in time? And I love your comments. You can't touch infinity with productivity. And I have a hunch you have a bunch of things that I want to make sure that we have time to discuss with our listeners because I think there's something of great value for them. And I think your discovery is very powerful. Please share. Richard Medcalf: So in the book, I talked quite a bit to start with about what you want to put your time on. It's really important. So I like to say, you can't free yourself up from things, you've got to free yourself up for something. What if you've actually got a spare minute or spare hour? What do you want to put your time on? What's going to make a breakthrough? So I spend a bit of time talking about that. And for me, people get clear on that. But in terms of how much we actually get into that freeing ourselves up, there's four strategies to use. And they actually spell the word TIME, which I was very happy about when I noticed that. So there's TACTICS. We do need a plan to get back into profitability. If you'd like more time, we do need a plan to go get rid of things which are not serving us and to stay at that level. So there is a tactical issue. The issue is that most people have over rotated on tactics, and they haven't thought about the other parts. But if we're actually finding diaries too full, we need to deal tactically with it. Then I is for INFLUENCE. I like to say, if you want to go on a diet or exercise, the people that are going to get in the way are your own family. Other people are going to want the chocolate cake under your nose, because they're used to dealing with you in a certain way. And when you're trying to change who you are and what you focus on, it impacts them. So in a business situation, you can make your plan or tactical plan for what you want to do and meetings you don't want to be in anymore and projects you don't want to do anymore. But you've got to sell that internally, but tell your boss that "I don't want to be in that. It's not helpful for me to be in that meeting anymore." But you've got a colleague saying, "I don't want this stuff coming from your department into my department because it's not what we should be focusing on." You've got to sell it to your team. "I need you to deal with things in a different way and stop involving me in the details." So influence is a really key part. That's what I call the Leadership Challenge. How are we actually leading other people so that we can take that higher ground? Then M is for MINDSET. Mindset is really important. That defines the bounds of what is necessary, possible, desirable in our lives. If we don't, if we don't have a good mindset, a broad enough mindset, well, we believe that we haven't got any choices in this matter. So I'll give you an example of one of my clients. I was helping him drive some transformational projects for a large company. He was in the C-suite of a several-billion-dollar company. And he was driving through internal transformation projects. I was helping him with that as he was onboarding into the C-suite. One day he comes to me and says, "Richard, I need some tips. I'm spending too much time on my email." So I joke and say, "Well, you pay me too much money if you want me to go and go through those, but tell me more." He explains, "Well, you know, I don't want to be the guy who's untrustworthy, unreliable or not a team player, who people are waiting on to reply to them, that you're stuck on projects." Andi Simon: So it's not alone. And it's a common recurring theme. My clients say, "I have to manage my email." But what did you tell him? Richard Medcalf: So he'll say, "Yeah, so that's why I have to regularly go into my inbox and help people." So I was like, "Okay, I can't help you." "You can't help me?" "Well, whatever I tell you about spending more time on these important projects, you're not going to do it because you want to be a reliable, trustworthy team player. And if I tell you not to do that, you're not going to do it. It's against your values. And I totally understand." "So, okay, well, what do I do?" "Tell me about your CEO. What does he want us to do?" "Oh, these transformational projects are going to make a big difference." "Okay. Where is your board? That, you know, makes a big impact on the bottom line." "They really want these big projects to happen." "Okay, what about your customers?" "If they were to know about it, they'd really want this internal transformation because it's going to free up the team to work on their projects." "Okay. What about the team itself?" "Oh, yeah. Well, they're desperate for more modern work experience." "Okay, so you're telling me that all these people want you to focus on these transformational projects?" "Yeah, that's right." "Okay. Well, I put it to you that that's what you're paid the big bucks for, and that when you're in your inbox, you're doing the easy stuff. You're actually being unreliable, untrustworthy, and not a team player. When you're doing the big stuff, then you're being the reliable trustworthy team player that you've been." Andi Simon: He really had to change his mindset, didn't he? Richard Medcalf: So in that one conversation, he got it and it was the aha moment. He didn't need any other tips from me because he had shifted his identity in the way he saw things. And so for all of us, we have places in our mind which are holding us back. And that's the mindset challenge. And actually, before that, let me pause. You don't have to do these in order, actually, in the book, and you can do it even before buying the book. I have an assessment that allows you to actually identify each of these areas. What's your score? What's your total score? What's your score on each category? And therefore, where's your weak spot? Where should you focus first? Because perhaps there's no point doing the tactics if your mindset is getting in the way. Or, you know, if actually you've got the plan, but you haven't got enough influence, then you need to start there. So you can read the book, but not only... Andi Simon: I'm sure you heard a little pause in our conversation. Richard in Paris froze for a moment. So we're going to pick up the conversation here, because we're down to the E. And the E is an important part of TIME. If in case you haven't noticed, it ends it but it also creates a setting for which everything else is taking place. Richard, please share with us what E stands for. Richard Medcalf: The final part of the type acronym is E for ENVIRONMENT. Environment is important because I wanted this to be a book for leaders. And as a leader, we have a responsibility to make time for our own strategy, our own focus, but also we need to create an environment where our team can thrive, where our team can focus on what's important as well. And that's our whole organization. So many organizations, they get caught up in busy work with too many priorities, mindlessly doing what the boss said, without thinking about "Why all this stuff?" And the question for the environment challenge is, how do I scale this into my team? How do I actually create a culture where, when I have something to delegate, my team is able to receive it because they've got TIME. Or if I've got a new project that I wanted to deliver because I've been thinking strategically, that we have capacity in the organization to take it on. And so for me, that's a really important part. We often focus on our own personal productivity. But in the book, I wanted to focus more on how do I go about changing the culture of my team in my organization, on this topic as well. Andi Simon: Do you have a client situation you can describe that might illustrate these four points and make them come alive a little bit? I can see them because I'm working with them. I hope my audience can as well. Anything you might share? Richard Medcalf: Yeah, so often I find that the breakthrough is on an individual basis for one of these points. So you don't necessarily need them all at the same time to get your breakthrough. That's why I said at the start of the book, you can take an assessment to find out which area you should focus on first. But I'll give you some examples. I've talked about mindset already, the fact that it's one conversation. Let's say around influence, it's quite a key one. Now, often one thing about influence is around not setting the boundaries with people. So often what happens is, we take on things from people and we haven't actually created an agreement with them. So yeah, I've had several clients who've realized, as we've talked about influence, that actually they have not had a real conversation with their own team about what do I expect from you in our relationship? When should you bring a problem to me? And how would you know where you need my support? And how do I want you to bring it to me? So many times, team members seem like leaders and feel they're being Sherlock Holmes, trying to diagnose the problems that their team brings to them because their team just says, "Hey, can we talk about x. I've got a problem with x." So in the book, for example, it's been one of the tactics which works really well, is the thing called SCARS. It's a five step acronym. It's a way we can bring a subject to a manager in a way that the manager can then really deal with. So, Situation: what are we talking about here? Context: what's the background I need to know? Analysis: what have I actually done to examine the different options available? Recommendation: what's the one or two options that you'd want to put forward on the table at this point that's memorable, and then Stakeholders is the last one, which is, don't use me as your manager to have to pull rank. Have you spoken to the other people who might be affected by this decision? Do they agree? So often, many team members come to us wanting us to make a decision so that they can then pull rank and say, "The boss said we're doing it this way." So the Stakeholders are actually key parts of SCARS. The S is quite important to make sure that they're actually managing the stakeholder environment, not just putting that back on it. The point is, when you've got this, when you've got those points, your team starts to come to you with what I call fully formed requests. But they actually know, "Hey, boss, I want to talk to you about the new, unknown Austrian office that we want to open. There are three options, ABC, these are the pros and cons." That's the analysis. The recommendation is: given all that, I think we should go for the city center office, because ABC, if that's too expensive for our budget, I'd recommend we go for an office by the airport, because of X Y, Z. And we explain that and then stakeholders: by the way, I've talked to the country manager, and he is happy with any of those options. And we've got something we can work with. Andi Simon: I am fascinated by your insights into how to change people so that they can be more effective, thinking beyond the immediate tactical thing, and how do I get this done. They can do it in a way which shifts their minds, their mindset, so they can see a bigger picture and a better way, changing that culture and culture. As an anthropologist, cultural change is one of the most challenging things, but one person at a time is extremely effective. We're getting to the point where we need to wrap up, as much as I would love to keep going on. But you know, as you said, you could talk all day. I have no doubt that you have great wisdom to share. Share with us two or three things you don't want our listeners to forget. And then we'll talk about where they can reach you and how they can get the book.  Richard Medcalf: Sure. So I think the first thing to realize is that the number one key performance indicator governing your future success as a leader is strategic time. I view investing in the future to make the future better. It's the difference between leaders who plateau and stagnate and find it hard to progress, and leaders where every year seems to bring new opportunities. It's that investing in the future that's so important and many leaders said they're running on empty. They hardly have any time in the week to work on those game changing projects, so it really matters. Second thing I want you to remember is that it's not just a productivity challenge.All these four areas: tactics, environment, mindset, and environment are really important. Work on the one that's most important for you. Go and take the test, if you want, on my website; it will help you. But, find out which one is important and really focus on that. Deal with the limiting factor and everything else will become a lot easier. And thirdly, always get really clear on what that breakthrough project would be. If you've got three minutes, just put a timer on your phone and brainstorm. Just write down questions. If I could answer some questions, if I had time to think and time to work, what would those powerful questions be? That would be a game changer for me. So you might write down, How can I get the best out of so-and-so on my team? How is artificial intelligence going to change my industry or change my workflows in the next three years? You know, how can I be more influential with a CEO? What new networks? Do I need to become part of it? Whatever it is, start to brainstorm interesting questions. When you do that, I guarantee after three or four minutes of writing ideas down, you'll suddenly go, Oh, there is a new level available to me. There is a new level that I could be involved with if I wasn't so stuck in the day-to-day. Andi Simon: Richard, I love our conversation. I have all kinds of thoughts, but where can they reach you and get your book? Richard Medcalf: So the book is available on Amazon. It's called Making Time for Strategy: How to be Less Busy and More Successful. And if you can also go to makingtimeforstrategy.com. Find out details about the book there. If you're interested, I put some resources specifically for listeners of the podcast at my company website, which is xquadrant.com/onthebrink. And there'll be a link to the assessment I mentioned, a link to the book, and a few other resources as well. That could be the best place to start. Andi Simon: Good, good. And we'll certainly have it up here. And we'll be promoting it as well. I want to make sure the listener understands a couple of things that I was struck by in Richard's conversation. Remember that humans are really futurists. And the only way you can live today is to see where we're going tomorrow, what's the future and the future you don't really know so you create and craft an illusion story about it. And now the interesting part for you, as a CEO or member of a C-suite or a manager in your organization, is to help the organization see where it's going, for its customers, its stakeholders, its board, whoever else you're really concerned about. But don't do it by just simply looking at that email list that comes in, or the immediacy of something you need to change. And humans hate change since that amygdala of yours will hijack the new, which is why I bring people like Richard here to talk to you because your brain hates him already. And we are going to love what it can teach you about time and how to invest in it. Because infinity can only be really captured and used well with not productivity, but with reframing it. The changes are here. Now if you haven't read Bernard Marr's book Future Skills, the skills for looking at data, AI, all types of things that are really right in front of us, please don't wait. But I do think making time for strategy can help you prepare yourself emotionally as well as intelligently for intentional transformation. All the time. Somebody once said the future is all around us. It's just not widely distributed. And I love that. I also know that the future is really here. It's today. And now we have to go push our way out. Richard, thank you for joining me today. It's been a pleasure. Now for all of our listeners, thank you for your ideas. Send your emails to info@Andisimon.com and our website is www.simonassociates.net where we talk about all the stuff we have for you there to help you see, feel and think in new ways. My two books are both on Amazon: Rethink: Smashing The Myths of Women in Business and On the Brink: A Fresh Lens to Take Your Business to New Heights. I'm here to help you see, feel and think in new ways. That's what I love to do. My third book coming out in September 2023 is called Women Mean Business. You can't quite get it yet, but I promise to keep you as you subscribe to our podcast in the loop and let you know when it's available. It's going to be a cool book with 101 women telling you their wisdom so that you can soar. On that note, I'm going to say goodbye. Have a wonderful day Richard. Enjoy Paris.

Stai ascoltando il recap settimanale gratuito di Ninja PRO, la selezione quotidiana di notizie per i professionisti del digital business. Con Ninja PRO puoi avere ogni giorno marketing insight, social media update, tech news, business events e una selezione di articoli di approfondimento dagli esperti della Redazione Ninja. Vai su www.ninja.it/ninjapro per abbonarti al servizio.Ci sono parole chiave che hanno caratterizzato quest'anno e non scompariranno assieme al calendario del 2022.Lavoro e felicità (professionale) tra le più importanti: le aziende si sono velocemente riorganizzate per creare una dimensione più umana del lavoro (abbiamo parlato qui dell'evoluzione del welfare aziendale).Poi anche Metaverso, che ancora vuol dire tutto e niente ma che si è saputo imporre nei trend e nelle conversazioni delle persone a tutti i livelli (leggi cosa ha detto Bernard Marr, su piattaforme, lavoro e sviluppi futuri).Selfie ritoccati, splendide immagine generate, testi indistinguibili da quelli scritti da un essere umano (a proposito, leggi questo articolo e dimmi se ti sembra scritto da una macchina). Intelligenza Artificiale è un'altra keyword destinata ad accompagnarci nel 2023.Diversità e Inclusione, Speranza e Amore, sono i doni che vorremmo trovare sotto l'albero per questo Natale. I grandi brand sono tutti d'accordo: sono questi i temi che ancora ci emozionano e li dispensano sapientemente negli adv a tema.

Join Tech Influencer, Author and Futurist, Bernard Marr, as he talks to Splunk's SVP and General Manager EMEA, Petra Jenner about what we can expect from the Technology space in 2023.The last two years have had a huge impact on the technology space, which makes 2023 a pivotal year for change in our industry. We'll be talking about:- The impact of the economy- Data regulation for private companies- Resilience and how the technology sector is responding- Putting employees first and the 'Great Resignation'

When is the last time you had a good chortle? With the holidays approaching, we get incredibly busy. Andrew, Allison, and Sutter discuss some strategies they use to help deal with everything that needs to be done. Forbes contributor Bernard Marr is referenced in his article "The Top 10 Time Management Tips to Work Smarter, Not Harder."

Confused by AI? The metaverse? AR? How will it affect your business? Do you even need to take any of this seriously? This episode's guest is Bernard Marr, a best-selling author, influencer, futurist and strategic business and technology advisor to governments and businesses. His books, which explore data, performance indicators, business management and business trends have been translated into over 20 languages and won multiple awards. One of his most recent books Business Trends In Practice focuses on the future events and circumstances shaping the way businesses operate.Here's what we discussed:Can you tell us a little bit about your experience growing up, your journey and what lead you into business? (01:04)A lot of your work focuses on the intersection of business and technology. What made you interested in this merger? (03:43)Do all businesses from any sector need to keep up with developments in AI and the utilisation of data? (06:01)How will AI impact jobs that are currently done by humans? (15:15)One thing you pick up on is the pace at which technology is advancing – you say it's advancing exponentially at a rate never seen before in history – what are the benefits of this but what are the potential risks? (21:23)You talk in your book about the shifts in global power trend very interesting – that countries like China and India will become more powerful than the US. You also speak about the rise in political and cultural polarisation and use things like Brexit and the Trump presidency as examples of this increasing polarisation. How do these factors impact businesses? (25:01)Is the metaverse a threat to business or a positive development? (30:52)Answer the Internet: Why is Blockchain Technology (and cryptocurrencies) promoted as something "big", "revolutionary", and "never seen before", if it's just a technique to account for transactions? What is so revolutionary about using blockchain to make transactions? (43:13)What makes a great business leader? (47:18)Be sure to subscribe to the podcast and the Business Leader YouTube channel for more interviews with some of the world's leading business figures. Hosted on Acast. See acast.com/privacy for more information.

Is your current skillset compatible with the evolving, technology-led needs of the business world? We need to understand what skills are key to career success, how to teach them, and why technology like AI and the metaverse require us to be more adaptable than ever to change. Bernard Marr is a world-renowned futurist and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity. With over 2 million social media followers, he was ranked by LinkedIn as one of the top 5 business influencers in the world. He is a best-selling author of 20 books, and his latest is Future Skills: The 20 Skills and Competencies Everyone Needs to Succeed in a Digital World.

Minter Dialogue with Bernard Marr Bernard Marr is an internationally recognised speaker and business strategist, a best-selling author and advisor to global companies and governments around the world. He's a renowned futurist who writes regularly for Forbes and is one of the world's most successful social media influencers at the intersection of tech and business. In this conversation, we discuss his book, Business Trends in Practice, overall winner of the Business Book Award 2022. We look at the scope and ambition of the book, some of the key business skills that leaders will need, including good citizenship, innovation, creativity and interpersonal skills. We exam the qualities of and need for resilience, authenticity and ethics.  If you've got comments or questions you'd like to see answered, send your email or audio file to nminterdial@gmail.com; or you can find the show notes and comment on minterdial.com. If you liked the podcast, please take a moment to rate/review the show on RateThisPodcast. Otherwise, you can find me @mdial on Twitter.

How do you generate, manage and sustain the energy that's needed to write a business book? Physically, mentally, socially and even spiritually, there are many aspects to this question.  Luckily there are many great writing and business brains on hand to answer it. Learn from the best:  Simon Alexander Ong on the different types of energy and how they work together to create flow;  Rob Wozny on how the spiritual energy of purpose can power writing;  Sam Dogen on why writing is like exercise, and the interplay of mental and social energy;  Mark Hayes on drawing energy from others and particularly the power of the podcast;  Bernard Marr on the flywheel effect of the conversations you have at work and the conversation you have on the page;  Katy Murray on breaking down big creative projects and generating the 'starting energy' you need to tackle them;  Felicity Cowie on the importance of being fired up, and the need to contain that fire;  Sara Tate on managing the energy-sucking effects on uncertainty and coming out the other side stronger;  Zena Everett on just getting started.  Whether you're energized or exhausted as the holidays draw to a close, I guarantee you'll find something here to light you up. 

Randi discusses the future of music with Shara Senderoff, Partner/president at Raised in Space, Bernard Marr, a world-renowned futurist, influencer and thought leader in the fields of business and technology, Prerna Gupta, Founder of an NFT platform called Mysterious, Roneil Rumberg, Co-Founder and CEO of Audius, and Brian Transeau, known by his initials as BT, a Grammy-nominated musician and DJ 

Bernard Marr – prepares us for the future of work – discussing what role the metaverse will play

Not that long ago, you'd only expect a personalised customer experience if you were a regular repeat customer on your local high street - or if you happened to be a VIP shopping at Gucci. But that's no longer the case. Today, a few data points can potentially give businesses a wealth of insight into their customers. And the information is already out there - all retailers need is a good data strategy to utilise it. Of course it isn't always that simple, but businesses are getting better at capturing and using data. Adyen's latest retail report revealed that 28% of businesses  are using it to improve their services , and a further 27% are using it to build a better picture of their customers.. On top of that, many  consumers today  are happy to share data; 47% say they're willing to supply information to brands in order to save time  and personalise the shopping experience.In this episode of Beyond Retail we explore the importance of data and how brands are using it to gain  a competitive edge. From uncovering trends, to creating  unique shopper journeys, we uncover a  multitude of benefits of a strong data strategy. Join us as we hear from special guests, including: team lead of Unified Commerce at Adyen UK, Joe Dupre; global DTC channel director at Brompton bicycle, Chris Matthews; and data advisor, futurist and author of the award winning book, Business Trends In Practice, Bernard Marr. Together, they explain how data  can strengthen a brand's performance and enhance consumer interactions..We discover how the pandemic affected not just footfall in-store and online sales, but how it disrupted shopper habits, creating a data black hole. Chris Matthews walks us through Brompton Bicycle's approach to data as it shifts its business model to direct-to consumer. And Bernard Marr reveals some of the latest trends that are helping brands to gather better insights while he shares his thoughts on how GDPR is a force for good (business).If you want to find out more about the technology and behavioural trends influencing retail, visit https://www.adyen.com/landing/online/uk/2022/retail-report to download Adyen's latest research report.

'It's not very difficult to write a book, but you need to start writing... I put my content on LinkedIn, for example, and this is where you then get feedback and it just gets you into this routine of writing. And you can then very quickly build up a really good volume of content, that you can then turn into books.' Futurologist Bernard Marr created history at the Business Book Awards this year by having two books published in the year, both of which went on to win in category, and one of which - Business Trends in Practice - went on to win the overall Business Book of the Year award. It was, he says, 'slightly embarrassing'.  Discover how he did it in this fascinating conversation - and prepare to have your mind blown along the way as he reveals some of the trends he's been writing about and the impact they are set to have on our businesses and our lives. 

In this episode, we take a look at some simple steps to protect the privacy of the data for your AI. Welcome everybody to another episode of click AI radio. Well, certainly data privacy has been on the minds of a lot of people and organizations and governments and governments and institutions, and so forth. No surprise there. One of the things though about AI is that, in general, it's not spent as much time if you will, putting a focus on that area. And it's been a bit of a problem and will become more of a problem if we don't do something about it. As we work with our application and use of AI itself. Now I was looking at several different groups and what they talked about and what they felt about it. At the end of this episode, I'm going to throw out two steps that I have seen that help us mitigate the challenges around this right to help to prevent some of the challenges of slippage, if you will, of getting the privacy of people's information out there that that shouldn't be now to frame that up. I want to introduce a framework for it. One of the one of the blogs, I looked at those, it was called beware the privacy violations and artificial intelligence applications it came from comes from is a see if I can say that is aca.org. There you go. A blog from there. Anyway, here, I'm gonna read an interesting quote here, right said, Look, artificial intelligence has been no different when seen through a privacy by lens design lens, as privacy has not been top of mind in the development of AI technologies. Yeah. All right. So end quote there. I agree with that that has been true. In fact, a lot of our efforts have been, can we just prove the viability of this technology in terms of helping people, individuals, businesses, certainly, there's been success with AI. And there's been some challenges. Now, they what what's introduced here is three interesting pieces to consider. When we're looking at privacy, one of those has to do with what's called data persistence. All right, so put your nerd hat on gonna be nerdy here for a moment, data persistence, that means the data existing today will last longer than the human subjects that created it. All right. And that's of course, driven by things like low data storage costs, and all the technologies that are available to allow our data to live a lot longer than us as people. So that creates a potential privacy challenge. There's another data privacy challenge. It's called Data repurposing, and that is, data that was originally created then gets used in ways that is beyond what it was originally intended. And AI is data hungry, we'll use that up, suck that up. Alright. And the third sort of area around privacy includes what's called a data spillover. And here's where, and this happens a bit in it actually drove a lot of the GDPR stuff, right, which is data collected on people who were not the target of data collection. And so of course, driving out of it was things like, you know, GDPR, out of Europe, certainly CCPA out of California, all of those things drive to or point to the need for having some regulation around it. Now, it's one thing to have regulation that's entirely different, to enforce it. And some of that comes upon us as business owners, it means that there are few things that we can and must do in order to protect the privacy of people's data and their information while still delivering value from AI. And that's that's certainly the balance that we're going for. One of the primary concerns, of course, with AI is its ability to replicate or reinforce or even amplify harmful biases, right? And this is a challenge because those biases can proliferate and then end up driving insights and and recommendations and predictions that of course, take you know, are wrong, right have have this human bias in it, there's there's another challenge to that we have with AI, let's say that we're going to try to fix that or solve for that. One of the problems, though, is that a lot of our auditing methods used today are based on the fact that something has already occurred, meaning in this case, with AI, that makes it even more difficult, right? Because it means that I've created an AI model, and I'm starting to then employ recommendations, insights and decisions, ways in which I work with people or deliver solutions, all with the incorporated bad behavior already. So it's kind of late, that doesn't mean that we shouldn't do the audits on the data. But they're post deployment by nature, meaning I've, I've already deployed it. So what we have to figure out is to find a balance, right, with privacy, as well as AI progress, it's finding the ability to say I'm gonna, I'm going to grow my my data usage in a way that that protects the privacy of the individuals involved. But I also need to allow AI to move forward and that right, there is, of course, a challenge that we're looking to pursue it some groups use consent today, right? It's a get someone to consent that they you know, you can be happy to share your information with them. That has some challenges with that those consents, not always as powerful as a tool as we might believe. And there's been examples where consent has been still misappropriated, right, what we thought originally what people thought originally was consent for certain use, then there was spill over into other areas, meaning people, you know, people didn't know their data was being used by AI for other purposes. So again, even though consent might be there, and organizations or people are well, intending, controlling, controlling the the, you know, the the boundaries of the consent, and enforcing that still is a real challenge, and relies on a lot of people to manually handle that, which means that there's more opportunities for us to mess up. I was looking at a report from the Brookings Institute, they were talking about AI Governance Initiative. And most interesting, there's this is some legislation that was pursuing this balance of how to pass privacy legislation, while while still allowing for AI to do the kind of work that it needs to bring about some of the benefits to humanity that we feel that we can do with this with this awesome technology. One of the techniques that that is mentioned here in this Brookings Institute report was, and you've heard it before, is all around what's called algorithm clarity, right? It's having clarity on how the algorithms using your information, right, that seems to be a useful piece to help dealing with it. But one of the problems with that is, you know, as an SMB owner, is that it ends up giving though, the burden typically on the backs of the of the SMB owner to say two things, one, I have to I have to make things transparent, so that my customers are aware that some aspects of their business information is leveraged by AI, right. And so that's, that's sort of the first incumbency is to say, I'm going to tell you, here's, here's what, here's what we're going to do with your data, it's going to be, you know, used in AI, and to draw the line on what information is not used. Okay? So that's what kind of comes out of this, right? It's, it's a, it's an activity or, you know, being forthright with, with our customers, on on what the intended use of the information that will or will not be used right in to draw that line. That's the first sort of consideration in algorithmic clarity. The second consideration, though, is explainability. Right. So that's, again, where you let your customers know what kind of algorithms are being used. Right. And this may include, you know, access to a human to provide that clarity, you know, okay. The thing I struggle with this, and of course, I that's all well and good. The thing I sometimes get challenged with here is what the heck does it mean to have one of the people in your team explain? Oh, yeah, you know, we use linear regression, or we use a particular classification model or, you know, a Bayes model, right, etc. We used all these different machine learning models and algorithms to that's what good is that right? 99% of people are gonna be like, What are you talking about? How did that help me understand any better? So this area of explainability, right, so the transparency Hey, we're going to use this kind of information or Not this kind of information in terms of the AI. So being clear with your customers on that. And then number two, coming up with a well Set Description for the kinds of algorithms being used, the, here's us maybe a simple way to think about it, you can break it into two buckets, right? When you're trying to explain AI to your customer say, we're going to be using this set of data for our AI algorithms. But we want to let you know that there's sort of two major areas, right. And what I'm gonna say here doesn't apply to all of AI, but for sort of vague, you know, AI for analytics, then then this applies. And it can be simply this. For those kinds of AI problems, where we're trying to determine yes or no answers, then we use what's called classification models, right? So it will be good for us to sell you this product or that product, yes or no? All right, classification kinds of problems. Then there's the other kind of problem, which is we'll use some AI algorithms to help us know, what might be the right price range, right? Now, of course, those are called more regressions, style algorithms. But you don't need to say that. It's simply we're going to use AI to help us understand yes, or no kinds of answers or questions to, you know, answer the questions. And the others, we're going to use it to understand, you know, proper pricing, perhaps right? Things that are not necessarily yes or no, but but degrees of difference, right? Those are two major buckets. And we can work on developing pretty simple language to explain this stuff. Otherwise, what good is it right if people can't, can't get it? Alright, I want to just point out one other thing here. So let me just summarize. So there's two things I think that an SMB can do to apply AI. Alright, so and to help solve for this problem of data privacy, after looking at and applying AI in multiple situations, or excuse me, over many years, come down to these two, two steps. They're a bit overly simplified, but I still think that if you print these out, put it on your wall, it could save you some real pain. Alright, so here's the first one. The first one is where I've seen a fair amount of pain. And this will sound really overly simple. First one is this. Start your AI journey with vetted questions and data oversight. Like what? Alright, I'll I'll come back to that. Number two, apply AI using smart steps. What? Alright, I'll come back to that. Awesome. Alright, so let me talk about number one here for a moment. So uh, number one here starting your AI journey with vetted questions and data oversight. It seems like an obvious first step, but when you examine the case studies of AI failures empirically, it looks like you know, this step has either been skipped or was not given the proper waiting look, a key technique here is to first vet what while you're doing this is to first bet by leveraging an independent party or going under NDA with someone, but what you want to challenge is the intended question you're trying to address with AI? Right, some of the biggest missteps with AI has been? No, that was the wrong question to be asking, this is the wrong use case to be pursuing right? There was inherently something that was either, you know, prone to lots of bias or was an unethical use of AI. Right. So in this step, the anticipated questions for AI. I know that sounds so simple, but it should be written down and evaluated in the context of the impact to your customers, and to other interested parties and to humanity for crying out loud, right? Just stop and do that simple stuff. I know, it sounds so doggone obvious. But alright, now, what does it mean to vet your AI questions? Well evaluate the AI implications to your customers, as well as look at some of those three elements that I introduced earlier. In other words, hey, will there be data persistence? What does it mean for the data that I'll be collecting to be in existence longer than the humans that created it? Right? What does that do in terms of in terms of privacy impacts or data repurposing? Wait a minute, are we going to be using the data beyond its originally you know, imagined purpose? And if so, you know, what obligation do we have to the people of all and number three data spillovers, right? Ask the question. Wait, are we collecting data on people that were not targeted those with whom we you know, initially intended? So stop and ask do I have the right question and then And then also, what's the impact of these two these three AI privacy areas of data persistence, repurposing, and data spillovers? All right, that's step one, stop and do a little vetted questioning, right and data oversight before you get too far. All right, number two is this. This in this one I call applying AI using smart steps. What this means is to iterate on the AI model and continue to refine and refactor and rebuild it as more as learned. What that does is it allows us to even adjust our AI models that might have some bias that we discover, right? So what it means is to build your vetted model, learn from experience, and then evaluate the impact to your business, your customers and then iterate. Right. So there's a book that came out not too long ago, it's by Bernard Marr. It's called "Artificial Intelligence In Practice". And what he's got in there is he's got 50 company use cases where AI was applied. Now I just want to pull something from that book, that's interesting. He goes, in that book, there's this one use case about Alibaba in China, right, who ultimately built a virtual platform that mimicked customer behaviors. And one of the reasons they did it was because it would take too long and too much effort to continually refactor their system. And so this virtual platform is used to allow the AI to continue to be refined and rebuilt and refactor. Now, you know, to do you know, to do lots of model rebuilding, in some situations, right, that's really heavy effort to do. So you either gonna have to put in the extra effort upfront to really ensure that you got the data privacy problem solved for or it well do that. And if you're able to then do the smart steps, which I found really helpful, which is, take the model Build it, try to apply it look for where a bias might be exposed, or privacy might be exposed when you didn't expect it. The lesson is this. Adjust your mindset as a business owner to refine your AI model over time, right take into consideration the changes in context, the changes in the economy, as well as lessons learned. And put in your mind that part of doing AI means that that will you know, continue to refine and improve and rebuild this AI model. Now when you combine these two steps, right, this first step is the vetted privacy aware questioning, right and looking at your data, as well as the mindset of smart steps where you simply refactor and approve you and model over time. What I found is that if you do those two things, you're in a much better position. For better privacy AI data privacy considerations. It puts you on a great path for both near term as well as long term viable business impact, you know, to your organization. Alright, everybody, thanks for joining and until next step. Until next time, use the two steps to ensure privacy for your AI that brings incremental business growth. Thank you for joining Grant on ClickAI Radio. Don't forget to subscribe and leave feedback. And remember to download your free ebook, visit ClickAIRadio.com now.  

In this episode, we take a look at some simple steps to protect the privacy of the data for your AI. Welcome everybody to another episode of click AI radio. Well, certainly data privacy has been on the minds of a lot of people and organizations and governments and governments and institutions, and so forth. No surprise there. One of the things though about AI is that, in general, it's not spent as much time if you will, putting a focus on that area. And it's been a bit of a problem and will become more of a problem if we don't do something about it. As we work with our application and use of AI itself. Now I was looking at several different groups and what they talked about and what they felt about it. At the end of this episode, I'm going to throw out two steps that I have seen that help us mitigate the challenges around this right to help to prevent some of the challenges of slippage, if you will, of getting the privacy of people's information out there that that shouldn't be now to frame that up. I want to introduce a framework for it. One of the one of the blogs, I looked at those, it was called beware the privacy violations and artificial intelligence applications it came from comes from is a see if I can say that is aca.org. There you go. A blog from there. Anyway, here, I'm gonna read an interesting quote here, right said, Look, artificial intelligence has been no different when seen through a privacy by lens design lens, as privacy has not been top of mind in the development of AI technologies. Yeah. All right. So end quote there. I agree with that that has been true. In fact, a lot of our efforts have been, can we just prove the viability of this technology in terms of helping people, individuals, businesses, certainly, there's been success with AI. And there's been some challenges. Now, they what what's introduced here is three interesting pieces to consider. When we're looking at privacy, one of those has to do with what's called data persistence. All right, so put your nerd hat on gonna be nerdy here for a moment, data persistence, that means the data existing today will last longer than the human subjects that created it. All right. And that's of course, driven by things like low data storage costs, and all the technologies that are available to allow our data to live a lot longer than us as people. So that creates a potential privacy challenge. There's another data privacy challenge. It's called Data repurposing, and that is, data that was originally created then gets used in ways that is beyond what it was originally intended. And AI is data hungry, we'll use that up, suck that up. Alright. And the third sort of area around privacy includes what's called a data spillover. And here's where, and this happens a bit in it actually drove a lot of the GDPR stuff, right, which is data collected on people who were not the target of data collection. And so of course, driving out of it was things like, you know, GDPR, out of Europe, certainly CCPA out of California, all of those things drive to or point to the need for having some regulation around it. Now, it's one thing to have regulation that's entirely different, to enforce it. And some of that comes upon us as business owners, it means that there are few things that we can and must do in order to protect the privacy of people's data and their information while still delivering value from AI. And that's that's certainly the balance that we're going for. One of the primary concerns, of course, with AI is its ability to replicate or reinforce or even amplify harmful biases, right? And this is a challenge because those biases can proliferate and then end up driving insights and and recommendations and predictions that of course, take you know, are wrong, right have have this human bias in it, there's there's another challenge to that we have with AI, let's say that we're going to try to fix that or solve for that. One of the problems, though, is that a lot of our auditing methods used today are based on the fact that something has already occurred, meaning in this case, with AI, that makes it even more difficult, right? Because it means that I've created an AI model, and I'm starting to then employ recommendations, insights and decisions, ways in which I work with people or deliver solutions, all with the incorporated bad behavior already. So it's kind of late, that doesn't mean that we shouldn't do the audits on the data. But they're post deployment by nature, meaning I've, I've already deployed it. So what we have to figure out is to find a balance, right, with privacy, as well as AI progress, it's finding the ability to say I'm gonna, I'm going to grow my my data usage in a way that that protects the privacy of the individuals involved. But I also need to allow AI to move forward and that right, there is, of course, a challenge that we're looking to pursue it some groups use consent today, right? It's a get someone to consent that they you know, you can be happy to share your information with them. That has some challenges with that those consents, not always as powerful as a tool as we might believe. And there's been examples where consent has been still misappropriated, right, what we thought originally what people thought originally was consent for certain use, then there was spill over into other areas, meaning people, you know, people didn't know their data was being used by AI for other purposes. So again, even though consent might be there, and organizations or people are well, intending, controlling, controlling the the, you know, the the boundaries of the consent, and enforcing that still is a real challenge, and relies on a lot of people to manually handle that, which means that there's more opportunities for us to mess up. I was looking at a report from the Brookings Institute, they were talking about AI Governance Initiative. And most interesting, there's this is some legislation that was pursuing this balance of how to pass privacy legislation, while while still allowing for AI to do the kind of work that it needs to bring about some of the benefits to humanity that we feel that we can do with this with this awesome technology. One of the techniques that that is mentioned here in this Brookings Institute report was, and you've heard it before, is all around what's called algorithm clarity, right? It's having clarity on how the algorithms using your information, right, that seems to be a useful piece to help dealing with it. But one of the problems with that is, you know, as an SMB owner, is that it ends up giving though, the burden typically on the backs of the of the SMB owner to say two things, one, I have to I have to make things transparent, so that my customers are aware that some aspects of their business information is leveraged by AI, right. And so that's, that's sort of the first incumbency is to say, I'm going to tell you, here's, here's what, here's what we're going to do with your data, it's going to be, you know, used in AI, and to draw the line on what information is not used. Okay? So that's what kind of comes out of this, right? It's, it's a, it's an activity or, you know, being forthright with, with our customers, on on what the intended use of the information that will or will not be used right in to draw that line. That's the first sort of consideration in algorithmic clarity. The second consideration, though, is explainability. Right. So that's, again, where you let your customers know what kind of algorithms are being used. Right. And this may include, you know, access to a human to provide that clarity, you know, okay. The thing I struggle with this, and of course, I that's all well and good. The thing I sometimes get challenged with here is what the heck does it mean to have one of the people in your team explain? Oh, yeah, you know, we use linear regression, or we use a particular classification model or, you know, a Bayes model, right, etc. We used all these different machine learning models and algorithms to that's what good is that right? 99% of people are gonna be like, What are you talking about? How did that help me understand any better? So this area of explainability, right, so the transparency Hey, we're going to use this kind of information or Not this kind of information in terms of the AI. So being clear with your customers on that. And then number two, coming up with a well Set Description for the kinds of algorithms being used, the, here's us maybe a simple way to think about it, you can break it into two buckets, right? When you're trying to explain AI to your customer say, we're going to be using this set of data for our AI algorithms. But we want to let you know that there's sort of two major areas, right. And what I'm gonna say here doesn't apply to all of AI, but for sort of vague, you know, AI for analytics, then then this applies. And it can be simply this. For those kinds of AI problems, where we're trying to determine yes or no answers, then we use what's called classification models, right? So it will be good for us to sell you this product or that product, yes or no? All right, classification kinds of problems. Then there's the other kind of problem, which is we'll use some AI algorithms to help us know, what might be the right price range, right? Now, of course, those are called more regressions, style algorithms. But you don't need to say that. It's simply we're going to use AI to help us understand yes, or no kinds of answers or questions to, you know, answer the questions. And the others, we're going to use it to understand, you know, proper pricing, perhaps right? Things that are not necessarily yes or no, but but degrees of difference, right? Those are two major buckets. And we can work on developing pretty simple language to explain this stuff. Otherwise, what good is it right if people can't, can't get it? Alright, I want to just point out one other thing here. So let me just summarize. So there's two things I think that an SMB can do to apply AI. Alright, so and to help solve for this problem of data privacy, after looking at and applying AI in multiple situations, or excuse me, over many years, come down to these two, two steps. They're a bit overly simplified, but I still think that if you print these out, put it on your wall, it could save you some real pain. Alright, so here's the first one. The first one is where I've seen a fair amount of pain. And this will sound really overly simple. First one is this. Start your AI journey with vetted questions and data oversight. Like what? Alright, I'll I'll come back to that. Number two, apply AI using smart steps. What? Alright, I'll come back to that. Awesome. Alright, so let me talk about number one here for a moment. So uh, number one here starting your AI journey with vetted questions and data oversight. It seems like an obvious first step, but when you examine the case studies of AI failures empirically, it looks like you know, this step has either been skipped or was not given the proper waiting look, a key technique here is to first vet what while you're doing this is to first bet by leveraging an independent party or going under NDA with someone, but what you want to challenge is the intended question you're trying to address with AI? Right, some of the biggest missteps with AI has been? No, that was the wrong question to be asking, this is the wrong use case to be pursuing right? There was inherently something that was either, you know, prone to lots of bias or was an unethical use of AI. Right. So in this step, the anticipated questions for AI. I know that sounds so simple, but it should be written down and evaluated in the context of the impact to your customers, and to other interested parties and to humanity for crying out loud, right? Just stop and do that simple stuff. I know, it sounds so doggone obvious. But alright, now, what does it mean to vet your AI questions? Well evaluate the AI implications to your customers, as well as look at some of those three elements that I introduced earlier. In other words, hey, will there be data persistence? What does it mean for the data that I'll be collecting to be in existence longer than the humans that created it? Right? What does that do in terms of in terms of privacy impacts or data repurposing? Wait a minute, are we going to be using the data beyond its originally you know, imagined purpose? And if so, you know, what obligation do we have to the people of all and number three data spillovers, right? Ask the question. Wait, are we collecting data on people that were not targeted those with whom we you know, initially intended? So stop and ask do I have the right question and then And then also, what's the impact of these two these three AI privacy areas of data persistence, repurposing, and data spillovers? All right, that's step one, stop and do a little vetted questioning, right and data oversight before you get too far. All right, number two is this. This in this one I call applying AI using smart steps. What this means is to iterate on the AI model and continue to refine and refactor and rebuild it as more as learned. What that does is it allows us to even adjust our AI models that might have some bias that we discover, right? So what it means is to build your vetted model, learn from experience, and then evaluate the impact to your business, your customers and then iterate. Right. So there's a book that came out not too long ago, it's by Bernard Marr. It's called "Artificial Intelligence In Practice". And what he's got in there is he's got 50 company use cases where AI was applied. Now I just want to pull something from that book, that's interesting. He goes, in that book, there's this one use case about Alibaba in China, right, who ultimately built a virtual platform that mimicked customer behaviors. And one of the reasons they did it was because it would take too long and too much effort to continually refactor their system. And so this virtual platform is used to allow the AI to continue to be refined and rebuilt and refactor. Now, you know, to do you know, to do lots of model rebuilding, in some situations, right, that's really heavy effort to do. So you either gonna have to put in the extra effort upfront to really ensure that you got the data privacy problem solved for or it well do that. And if you're able to then do the smart steps, which I found really helpful, which is, take the model Build it, try to apply it look for where a bias might be exposed, or privacy might be exposed when you didn't expect it. The lesson is this. Adjust your mindset as a business owner to refine your AI model over time, right take into consideration the changes in context, the changes in the economy, as well as lessons learned. And put in your mind that part of doing AI means that that will you know, continue to refine and improve and rebuild this AI model. Now when you combine these two steps, right, this first step is the vetted privacy aware questioning, right and looking at your data, as well as the mindset of smart steps where you simply refactor and approve you and model over time. What I found is that if you do those two things, you're in a much better position. For better privacy AI data privacy considerations. It puts you on a great path for both near term as well as long term viable business impact, you know, to your organization. Alright, everybody, thanks for joining and until next step. Until next time, use the two steps to ensure privacy for your AI that brings incremental business growth. Thank you for joining Grant on ClickAI Radio. Don't forget to subscribe and leave feedback. And remember to download your free ebook, visit ClickAIRadio.com now.  

In this session, best-selling author and keynote speaker Bernard Marr is joined by Rich Clayton, Vice President Product Strategy, Oracle Analytics, to discuss the current analytics landscape, and the importance of the analytics revolution in retail as well as why data and evidence based decision-making is necessary.

Want to stay updated on the latest tech trends?Myself and Bruno Aziza will be discussing the latest trends in tech, AI and data science!This will cover everything from the new Ray-Ban smart glasses to the metaverse, as well as the biggest AI and tech trends for 2022, as well as discussions about the latest books we've read, retail trends, and AI ethics.

"Rabbit, Rabbit!" - a superstition found in Britain and North America wherein a person says or repeats the words "rabbit", "rabbits" and/or "white rabbits" aloud upon waking on the first day of a month, to ensure good luck for the rest of it.Delivered on the first day of the month, this podcast series dives into various Database Performance topics.  Enjoy!RR Episode 07 – Is Data Democratization the Key to the Treasure?In this Episode, Quest Senior Consultants, Dave Orlandi and Amit Parikh, have a conversation with colleague Albert Rodriguez about reducing the time-to-value of data and the importance of Data Democratization.Into the Rabbit Hole (related resources) –Bernard Marr – https://business.adobe.com/resources/data-democratization-is-crucial-to-your-business.html John Pocknell –https://www.linkedin.com/feed/update/urn:li:activity:6856932736838586369/?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A%28V2%2Curn%3Ali%3Aactivity%3A6856932736838586369%29 Mat Phan -https://www.quest.com/video/des21-enabling-the-democratization-of-data8149063/

Could Your Next Job Be in FinTech? From datasets enabling funds to generate alpha, to NLP computing the word on the street, financial institutions are increasingly utilizing data technology to enhance end-to-end services. These companies need strong talent to stay on the pulse of market trends. In this episode we chat with Scott DeAngelis, a top performing recruiter at Selby Jennings, the leading financial recruitment agency in the U.S., about how his industry's growth has only just begun.In this episode we cover several key topics including:The virtual world's impact on the FinTech market [4:33] The role of data in commoditizing financial institutions' value propositions [8:53] Alternative investments and passive returns generated by self-driving cars? [12:48] How NLP benefits both consumers and employers in the industry [15:02] Example of a business-to-business service using geospatial data [18:00] Connect with Scott: linkedin.com/in/scott-deangelis Resources Mentioned in this Episode: https://www.amazon.com/Bernard-Marr/e/B001H6KUSS/ref=dp_byline_cont_pop_book_1 

Real-time data is more important than ever. In this conversion, Bernard Marr and Erez Alsheich, will discuss the increasing importance of real time and streaming data analytics. They will explore at the benefits and opportunities that come with using real time data and look at leading edge industry examples. They will also discuss the key challenges and barriers to using steaming data, how to overcome them, as well as the future of real time data.

+ The first open source data engineering book, Cloud Migration in Retail, Home Runs & Slam Dunks...----1 — This Month In Tech: What Will Data Experiences Feel Like in 10 years?!2 — Best Practices: Innovation & Productivity at Scale.3 — Home Runs & Slam Dunks: Analytics in Sports.4– 21 stories to boost your data analytics strategy.5 — Shout out and congrats to my author friends including Bernard Marr & Neil deGrasse Tyson5.1 - Coming Out Soon! [Data Governance]: THE Definite Guide5.2 - Available Now! [Cosmic Queries] by Neil deGrasse Tyson5.3 - Congrats Oleg Agapov on his OpenSource Data Engineering book!5.4 - Count Down To Wrangling!5.5 - IDC’s Directions 2021 starts Tuesday!---I hope you got value from this: please leave a comment & a like. Want to connect? I’m on LinkedIn @ linkedin.com/in/brunoaziza

This week we review "Faux Croissant", "Faux Data", Where AI Helps and Hurts, Predictions that hit and those that didn't.====1 — AI creates data…and images for itself.  How Dall-E emulates the Human Brain using GPT3. Another great podcast by Andreessen Horowitz’ Frank Chen, Scott Kupor, and Zoran Basich.====2 — What You Missed in Data, AI and Analytics This MonthA recap of the biggest news with Bernard Marr. We talked Data, Analytics, CES, Davos & Flying Cars. Catch it all here and see you next month!====3 — Prediction Hits and MissesPrediction Hits and Misses by no other than Dave Kellogg. Lots of great insights for everyone interested in Data, Analytics and Startups. Dave even predicts the return of EPM!====4 — Think you know which country is the most innovative one in the world?!====5 — Which Business Metric is MOST Important?!NPM, CCC, NWC or CCR?! I say neither! RCA is the main one! :). What do YOU think?!====Remember "Project Crescent"?!  Check it out @ https://www.youtube.com/watch?v=FfRpfCav9hg&t=58s====If you like any of this, please leave a comment & a like. Want to connect? I’m on LinkedIn @ linkedin.com/in/brunoaziza====

In this episode of Reimagine Marketing, Wilson Raj welcomes guest Bernard Marr, best-selling author, futurist and strategic business advisor. Wilson and Bernard discuss the impacts of disruptions (COVID-19, economic uncertainty, etc.) on consumer behaviors and CX trends and answer key questions about how the consumer engagements and brand relationships may be shifting or evolving in this new environment.  This podcast covers:  Why this topic important, and why we're having this particular conversation right now.  What we're seeing across other industries, what trends are rising, what issues CX leaders typically face and the role of technology and data.  How we've seen marketers address these challenges and how others have overcome these hurdles.  What listeners can do right now and what's coming next.  Join us next time as Wilson Raj welcomes Daniel Newman – principal analyst and founder of Futurum Research – to the Reimagine Marketing podcast. Wilson and Daniel will spend several episodes diving into our Experience 2030 global research and provide the macro trends we uncovered about how consumers, brands and technology will evolve through 2030.  Here are some of the resources we mentioned during the episode:  Connecting with the New Digital Customer: An on-demand webinar featuring Wilson and Bernard, as they discuss why marketers must adopt new operating models that involve integrated technology investments in analytics and automation.  Experience 2030 Pulse Report: A re-examination of our prior research providing context, clarity and confidence for today and tomorrow  Resources from Bernard Marr: Check out bernardmarr.com for his latest book, articles, videos and more.  Connect with Bernard: LinkedIn | Twitter | Instagram | Podcast | YouTube  Connect with Wilson: LinkedIn | Twitter  Check out additional episodes of the Reimagine Marketing podcast series at reimagine-marketing.transistor.fm.   Subscribe to the Reimagine Marketing podcast so you never miss a future episode.   Visit https://www.sas.com/en_us/explore/reimagine-marketing-podcast.html to learn more about our guests, upcoming episodes and more.   If you'd like to be a guest on a future episode, have an idea for a future topic or would like to share feedback about our Reimagine Marketing podcast, send us an email: reimaginemarketingpodcast@sas.com.    About our guests:  Wilson Raj is global director of customer intelligence for SAS, responsible for global marketing to establish, evolve and evangelize SAS' analytics-powered marketing solutions. Raj has held global leadership positions in marketing at Fortune Global 500® companies including Microsoft, Novell. Medtronic, and Philips, and advised C-level executives about digital strategy while at award-winning agencies Publicis Groupe, VML/Young & Rubicam and Wunderman. Raj has been featured in major media publications such as Adweek, CMSWire, CNBC.com, Forbes, InformationWeek, MarTech Advisor, MarketingProfs, ZDNet and more.   Bernard Marr is a world-renowned futurist, influencer and thought leader in the field of business and technology. He is the author of 18 best-selling books, writes a regular column for Forbes and advises and coaches many of the world's best-known organizations. He has 2 million social media followers and was ranked by LinkedIn as one of the top 5 business influencers in the world and the No 1 influencer in the UK. 

In this episode of Reimagine Marketing, Wilson Raj welcomes guest Bernard Marr, best-selling author, futurist and strategic business advisor. Wilson and Bernard discuss the impacts of disruptions (COVID-19, economic uncertainty, etc.) on consumer behaviors and CX trends and answer key questions about how the consumer engagements and brand relationships may be shifting or evolving in this new environment.

“A brand isn't what you say it is, it's what people say it is when you stop talking.” – Justin Theng  In this debut episode of Reimagine Marketing, marketing pundits Steven Hofmans, Wilson Raj and Justin Theng dive into the key challenges that marketers are facing today, including the impact of the COVID-19 pandemic on brands and customer loyalty.   In this episode, Steven, Wilson and Justin start off by sharing the quotes that define their craft and discuss:  How to decipher between hype and innovation, the importance of customer satisfaction and frictionless customer journeys.  The full-circle evolution of marketing and why customer delight should underpin everything you do.  Tapping into an essence and an ethos that defines your brand to the folks who matter, and the importance of brand authenticity and empathy.   Join us next time as Wilson Raj welcomes Bernard Marr – best-selling author, keynote speaker, futurist, and strategic business and technology advisor– to the Reimagine Marketing podcast. Wilson and Bernard will discuss how to connect with the new digital customer. In a “socially distant” world, the use of smart and immersive digital technology and AI-fueled automation isn't an option – it's inescapable. If consumers amplify their digital expectations, then brands must keep pace.  Here are some of the resources we mentioned during the episode.  Experience 2030 Interactive Portal Discover a wealth of resources to help you to future-proof your customer experience strategy.  Customer Experience - Now and Into the FutureRead this e-book to learn about five key trends to focus on for the coming decade.   Check out additional episodes of the Reimagine Marketing podcast series at reimagine-marketing.transistor.fm.  Subscribe to the Reimagine Marketing podcast so you never miss a future episode.  Visit https://www.sas.com/en_us/explore/reimagine-marketing-podcast.html to learn more about our guests, upcoming episodes and more.  If you'd like to be a guest on a future episode, have an idea for a future topic or would like to share feedback about our Reimagine Marketing podcast, send us an email: reimaginemarketingpodcast@sas.com.  About our hosts:  Steven Hofmans is a customer experience advisor on a mission to make every citizen a happy customer. Steven believes today's customer experience needs to be personalized, zero effort, frictionless, proactive and about the customer. He helps marketing, sales and service departments to explore how they can revolutionize their marketing processes in order to reach that customer experience of the future. Using inspiring presentations and practical examples, he wants to show what proactive customer experience could look like.  Wilson Raj is global director of customer intelligence for SAS, responsible for global marketing to establish, evolve and evangelize SAS' analytics-powered marketing solutions. Raj has held global leadership positions in marketing at Fortune Global 500® companies including Microsoft, Novell. Medtronic, and Philips, and advised C-level executives about digital strategy while at award-winning agencies Publicis Groupe, VML/Young & Rubicam and Wunderman. Raj has been featured in major media publications such as Adweek, CMSWire, CNBC.com, Forbes, InformationWeek, MarTech Advisor, MarketingProfs, ZDNet and more.   Justin Theng has spent the last 20 years helping grow the revenue of hundreds of organizations ranging from large household brand names to small businesses and startups. As a multi-award-winning marketer, speaker and author, Justin's belief is that customer analytics empowers customer delight. His brand experience extends across Spotify, Volkswagen, Coca-Cola, Telstra, ABC, Yahoo and McDonalds. Justin manages to remove the confusion and hype around AI and marketing with his easy to implement frameworks for attracting, converting and delighting. 

Em 2018, Bernard Marr escrevia na Forbes que produzimos diariamente o equivalente a 2,5 milhões de terabytes de informação. Tudo digital. Em Portugal, o trabalho de guardar a web é conduzido desde 2007 pelo Arquivo.pt, um serviço público gerido pela Fundação para a Ciência e a Tecnologia. Para entendermos a importância da web enquanto artefacto histórico ouvimos Daniel Gomes, gestor do Arquivo.pt, e Miguel Ramalho, vencedor da edição de 2020 do Prémio Arquivo.pt com o projeto Desarquivo. Este episódio é um complemento ao artigo sobre arquivos digitais que escrevemos para a próxima edição da revista do Shifter, disponível brevemente. Créditos Six Umbrellas - "The Psychedelic And" e "Sparks" (CC BY-SA) Referências "What Happened to Malaysia Airlines Flight 17" - New York Times (2014) The Web as History: Using Web Archives to Understand the Past and the Present, editado por Niels Brügger e Ralph Schroeder - UCL Press (2017)

In this BIZTALKS roundtable I recently hosted, sponsored by AT&T Business, I was joined by Kevin Jackson, CEO of GC Globalnet, Helen Yu, Founder & CEO of Tigon Advisory Corp, and Jason Inskeep, Director of the 5G Center of Excellence at AT&T. Our conversation in this roundtable discussion was focused on the fact that technology is getting smarter at an incredibly rapid pace. From traffic-routing networks to autonomous vehicles, the future of business will be automated, intelligent, and connected. With that in mind, we wanted to tackle the topic of how business leaders can guide their technology investments for the coming year and beyond. Making smart investments in the right emerging and existing technologies will allow organizations of all sizes to not only survive, but also be competitive in 2021 and beyond. This panel of incredibly smart business leaders discussed: The current mood among business leaders right now and what we see ahead in 2021 The essential tech investments that business leaders should make next year How to make long-term plans around investing in technology What processes and skills business leaders should be looking for to make full use of their existing technology The indicators business leaders should be keeping an eye on throughout the next year to guide investments in the years to come The no-brainer tech investments our panel recommends for Q1 of 2021 The importance of assessing tech talent, infrastructure needs and other assessments — and why that's important to do Tips for making businesses more resilient and more capable of embracing and succeeding at digital transformation in 2021 and beyond. What to stop doing and/or investing in in 2021 and beyond. The skills that businesses should be looking to train and/or hire for in the coming year The role 5G is playing and will play for business in 2021 And be sure and join me, Tamara McCleary, Bernard Marr, Kevin Jackson, Glen Gilmore, Dez Blanchfield, and Jason Inskeep on Wednesday, December 9, 2020 at 12pm CST over on Twitter for another one of @ATTBusiness's #BIZTALKS Twitter chat, where we'll be exploring more about 2021 tech trends. You can find the chat here and we'd love to have you participate. Bring your amazing questions and your insights and jump into the chat.

We think that people don’t want to be pushed. That they don’t want to be called out when they’re giving less than their best. But what if most people really DO want to be challenged? How do you coach a community to do MORE than they thought they were capable of—and celebrate each other along the way? Tanci Spencer is the Founder and CEO of Turn Up, a dance fitness platform that helps women evolve unapologetically, dance ruthlessly and live out loud. More than a workout program, Turn Up is a movement of 1,000 women who empower each other to stop playing small and live the lives they desire. Tanci leverages her background as a college basketball player, high school teacher and coach to inspire her squad to push the limits they have set for themselves and step into their power. On this episode of Destined to Be, Tanci joins us to discuss what inspired her to leave her marriage, quit her job as a teacher and coach, and move back to Michigan. She describes the Insta story that launched Turn Up, sharing the greatest challenges she’s faced in building the community and the energy that comes from a group of women who celebrate each other. Listen in for Tanci’s insight on coaching people to ‘touch the line’ and learn how YOU can be a part of the transformative Turn Up Squad! Key Takeaways Tanci’s background as a college basketball player and how that role became her identity How network marketing taught Tanci to be resourceful and question what she thought she wanted for her life What inspired Tanci to leave her marriage, quit her job as a teacher/coach and move back to Michigan Tanci’s insight on how the chapter you’re in now is preparing you for the next thing The Instagram story that launched Turn Up Dance Fitness The energy behind the Turn Up community and how the women celebrate each other  The poor decisions Tanci was making in college before she woke up to her greatness Tanci’s dedication to a consistent morning routine How to call yourself out without beating yourself up How being vulnerable on social has helped Tanci grow a squad of 1K women The greatest challenges Tanci has faced in building Turn Up Tanci’s advice on coaching people to ‘touch the line’ Why the best leaders are comfortable with making people uncomfortable and skilled in creating a safe environment where people can make mistakes Connect with Tanci Turn Up with Tanci Tanci on Instagram Tanci on Facebook Tanci on YouTube Connect with Jeremiah & Mallory  Destined to Be Jeremiah on Instagram Mallory on Instagram Level Up Entourage Facebook Group Resources Turn Up Instructor Training The MFCEO Project Podcast Andy Frisella Ed Mylett Arete Syndicate Chris Harder For the Love of Money Podcast Jeremiah on For the Love of Money EP232 Entrepreneurial Operating System for Business Gary Vaynerchuk Key Performance Indicators for Dummies by Bernard Marr

Joining Cindi today is Bernard Marr, internationally bestselling author, futurist, and keynote speaker. He advises and coaches many of the world's best-known organizations and was voted by LinkedIn as one of the top five business influencers in the world and the number-one influencer in the UK. On this episode, Bernard and Cindi discuss why businesses should treat AI as a focused strategy rather than a resource-draining experiment, five ways to determine how to implement AI as a strategy that addresses the needs of your business, and overcoming a company culture's resistance to change. They also talk about how to ensure that AI augments rather than replaces humans and what it means to nowcast versus forecast in a post-pandemic world. Key Takeaways: Use AI as a strategy, not an experiment. AI should be applied strategically to the needs of your business, not treated as an experiment. Here, Bernard presents five lenses that will help you determine how AI can be focused appropriately. Don't reinvent the wheel. Chances are pretty good there's an existing AI tool -- from Salesforce, Oracle, Amazon, Microsoft, IBM, etc. -- that will suit the needs of your company without having to invest the time, energy, and money to start from scratch. Overcoming a company culture's resistance to change. What it takes to get the top levels of your organization aware of what AI is capable of doing for the business, and communicating to all levels that it's a tool for augmenting -- not replacing -- human staff. More About Bernard: Bernard Marr is a futurist, big data expert, storyteller, visionary, keynote speaker, and strategic business and technology advisor to companies and governments. He advises and coaches many of the world's best-known organizations, helping them improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence, big data, blockchains, and the Internet of Things. LinkedIn has ranked Bernard as one of the world's top five business influencers. He is a frequent contributor to the World Economic Forum and writes a regular column for Forbes. Every day Bernard actively engages his 1.5 million social media followers and shares content that reaches millions of readers. -- The Data Chief is presented by our friends at ThoughtSpot. Searching through your company's data for insights doesn't have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.  --  For full show notes and more, go to thedatachief.com.

Ratnesh Singh, head of global business at Buzznation Event Technologies, and author/keynote speaker/futurist/strategic technical advisor Bernard Marr are prime examples of tech supply and demand.   As an influencer, Bernard works with companies including Microsoft, Cisco and IBM to help them “amplify their voice” while ‘Nes’ has seen extraordinary demand for solutions to support the global switch to online business interaction.   In this episode we discuss what virtual events look like, how tech is supporting an industry that can’t meet, and the role they will play as a marketing strategy going forward. How COVID-19 has triggered new ways of thinking, how Marr pivoted to find fertile new pastures live streaming content on LinkedIn and YouTube, to the tune of 20,000-strong audiences. Still greater reach for his ideas, his brand, and no airports, no hotels and no time away from home.   As Nes explains, people did their education through lockdown. Now they’re asking more technical questions, using tech to keep their businesses afloat through the pandemic, because, like Bernard, they’re ready for the virtual world order.   And how hybrid events, online reach coupled to a physical event, will be the new/better than normal.

Eine Data Strategy sollte die Grundlage für jede KI Aktivität in einem Unternehmen sein. Ohne eine solche, ist es fast unmöglich dauerhaft Künstliche Intelligenz in einem Unternehmen gewinnbringend einzusetzen. Thomas Schmiedel, verrät uns in dieser Folge, wie man eine solche Strategie entwickelt und was es dabei zu beachten gilt. IIII

It’s a race against time for organizations to adapt to the new world order. Neil Kinson, Chief of Staff Redwood Software and Bernard Marr discuss why automation, now more than ever, is one of (if not the) most important steps for any organization to continue to thrive rather than just survive, how to do this in practice and what does this mean for the jobs of people within these organisations?

In this podcast, special guest Bernard Marr joins Scott Jones, CEO of 123 Internet Group in conversation to discuss the Impact of COVID-19 and how technology has been used to combat the pandemic.Bernard Marr is an internationally bestselling author, futurist, keynote speaker, and strategic advisor to companies and governments. He advises and coaches many of the world's best-known organisations and was voted by LinkedIn as one of the top 5 business influencers in the world and the No 1 influencer in the UK.Support the show (https://www.123internet.agency/podcasts)

In this conversation I speak to Oxford Professor Viktor Mayer-Schoenberger about the data age, the hype around big data, artificial intelligence and machine learning. We discuss whether the hype is justified and what impact these technologies are having.

Esta semana en el podcast comentamos un artículo de Bernard Marr sobre 10 puntos que una empresa debe tomar en cuenta para enfrentar un escenario de recesión. 10 puntos simples y claves para adaptarte al nuevo escenario que viviremos en el segundo semestre del 2020. Síguenos en www.ptp.pe

The buzz: “In this 4th revolution, we are facing a range of new technologies that combine the physical, digital and biological worlds… [.These new technologies], and will impact all disciplines, economies and industries, and even challenge our ideas about what it means to be human.” [Bernard Marr, Forbes.com] What are the drivers, challenges and opportunities of Industry 4.0? Where is it today and where is it headed? And why does this matter to your industry, your company and the world? In this new series debut, our panel will answer these questions and more. Industry 4.0 started with the concept of and Intelligent Factory, that strove to automate manufacturing. But Industry 4.0 is more than just Intelligent factories. It's about designing and manufacturing intelligent products and assets and about empowering employees to leverage the data from these intelligent products and assets to make predictive, prescriptive and automated decisions across the entire supply chain.

O tempo é o maior inimigo de quem quer realizar algo na vida. Nesse episódio eu trago 10 reflexões de carreira pelo autor Bernard Marr, Autor best-seller, Palestrante e Estrategista de Negócios. Me Siga no instagram: @empreendendonacarreira

EPISODE 010 SHOW NOTES: Episode 010 covers XR in Retail and features an interview with Ed McCabe of Zebra Technologies, who discusses how AR headsets are improving efficiency in warehouses, the use of AR for picking and stocking, how XR is driving immersive brand experiences, and what consumers might expect to see this 2019 Holiday Shopping season. Also discussed are Neil Redding and Tony Parisi’s Near Future of Retail Project and small businesses getting started in AR. Augmented Reality Experiences Will Save Brick and Mortar Retail by Tom Emrich SnapChat Lego Wear Store Near Future of Retail at Medium Neil Redding, Near Future of Retail, Redding Futures The Top 10 Technology Trends In Retail: How Tech Will Transform Shopping In 2020 by Bernard Marr at Forbes How to Afford an Augmented Reality Solution as a Small Business by Nar Poghos Katelyn Coghlan, Mezmos, The Glimpse Group Ed McCabe Zebra Technologies NFL Next Gen Stats Call Recording: Anchor Podcasting: Anchor Recording: Logic Pro X Music: "Christmas Shopping" by Buck Owens and His Buckaroos Hosted and Produced by Liam James O'Malley at Mars & Mercury --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

The world is changing so fast that it is difficult to know how the world will look in 5 years time. This is a question I have been asking the guests on my podcast. In this episode we will revisit these past interviews and see how Colin Iles, Kevin Allen, Mike Lingle and Jaroslav Dokoupil answered this question. If someone asked you how the world would look in 5 years time how would you answer the question? Even more important is how do you prepare for the future? For this I feature a clip by Bernard Marr in which he talks about the top five in-demand job skills of the future. I would be interested to hear if you agree with Bernard? How are you preparing for the future? Do you make continual training a priority in your life? Are you shaping your future or allowing it to happen to you? I hope you have enjoy and find this podcast valuable. If you would like to chat to me then please do. You can book me online using Calendly at https://calendly.com/ideastorm, contact me through my website at www.ideastorm.co.za or email me directly lance@ideastorm.co.za.

"Artificial Intelligence: How 50 Successful Companies Used AI and Machine Learning to Solve Problems in Practice" is a fascinating look into how companies use AI and machine learning to solve problems The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. AI is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. Understand some key terminology accessibly Expand your knowledge of recent AI advancements in technology Gain insight into the future of AI and its increasing role in business and industry Realise some threats and opportunities that AI brings to industry, society and humanity More about Bernard here: https://www.bernardmarr.com

Big Data en la practica es un libro escrito por Bernard Marr, que explica los multiples entornos de uso de la big data.

On this week's The Drill Down podcast, Tech giants under scrutiny for antitrust, Tesla's new pickup truck, What is 5G exactly?, and Engadget Senior Editor Devindra Hardawar joins us to review Apple's Worldwide Developer's Conference. Headlines Facebook, Google and other tech giants to face antitrust investigation by House lawmakers Congress Just Said Tech's Least Favorite Words: Antitrust Investigation Audible Book of the Week Artificial Intelligence in Practice by Bernard Marr, Matt Ward - contributor Sign up at AudibleTrial.com/TheDrillDown Music Break: In the Dark by Nina Simone Hot Topic: Apple WWDC 2019 The 9 biggest highlights from Apple WWDC 2019 A $999 monitor stand is everything wrong with Apple today Apple WWDC 2019 keynote in 13 minutes Music Break: Truckin'  by The Grateful Dead Final Word Tesla Pickup truck to cost less than $50,000, 'be better than F150', says Elon Musk The Drill Down Video of the Week If You Don't Know, Now You Know: 5G Spotify - Time to Play Fair Subscribe! The Drill Down on iTunes (Subscribe now!) Add us on Stitcher! The Drill Down on Facebook The Drill Down on Twitter Geeks Of Doom's The Drill Down is a roundtable-style audio podcast where we discuss the most important issues of the week, in tech and on the web and how they affect us all. Hosts are Geeks of Doom contributor Andrew Sorcini (Mr. BabyMan), marketing research analyst Dwayne De Freitas, and Vudu product manager Tosin Onafowokan.

In our third episode, we are focusing on the automotive sector and the role artificial intelligence is playing in accelerating the automotive industry’s transformation: from product design and testing, to production lines and fleet management, to attracting new customers who have more choice than ever before, or customers who aren’t interested in buying a vehicle, but are scanning the market for an alternative mobility solution. Participating in this discussion we have Bernard Marr, best-selling author, keynote speaker and futurist; Demetrio Aiello, who leads the Artificial Intelligence and Robotics Labs at Continental, and Ingo Finck, Capgemini Invent Vice President of Insights Driven Enterprise. You can download the report here: https://www.capgemini.com/research/accelerating-automotives-ai-transformation/

We are living in the golden age of content, where more material is produced in a day that any one person could digest in a lifetime. One estimate notes there are 2.5 quintillion bytes of data created each day (see what happens in an internet minute below). "Over the last two years alone 90 percent of the data in the world was generated," wrote Bernard Marr in Forbes.  Among that content are the articles and videos provided by mainstream media organisations. Journalists who once published daily provide hourly updates and court legions of followers. But amid the wash of content, trust in traditional media has evaporated. In a recent Knight-Gallup poll, trust in traditional media slid to its lowest position ever - with media rating just above Congress in trustworthiness. "When people were asked why they don’t trust the media, about 45 percent referred to things like inaccuracy, bias, “fake news,” and “alternative facts,” the latter two being common descriptions given by Donald Trump and members of his administration," wrote Mathew Ingram in Columbia Journalism Review. But there may be a solution. Blockchain is a digital ledger in which transactions are recorded chronologically and publicly. Today the technology is closely associated with crypto-currencies, but in reality anything that can be produced can be verified via blockchain. Listen to today's podcast to learn how #Blockchain can be used to overcome #FakeNews. Po Chi Wu is a TedX speaker, author, venture capitalist, entrepreneur, and teacher. Adjunct Professor at the Hong Kong University of Science and Technology, Dr. Po Chi Wu leads educational programs in innovation and entrepreneurship for undergraduates, master’s degree candidates and corporate executives. A highly successful international venture capitalist and entrepreneur in both the United States and Asia, he brings a unique perspective with more than 30 years of experience with the challenges of innovation and entrepreneurship. For more from Po Chi Wu you can watch his popular talk from TEDx Hong Kong titled "Who Killed Curiosity?" below.