Podcasts about gartner hype cycle

Get all the show notes and bonus content at wickedproblems.earth.“It'll be between a scalpel and a sledgehammer,” said Speaker Mike Johnson, describing how Republicans might gut clean energy in the Inflation Reduction Act. After last night's vote, it looks more like a wrecking ball.In this episode, we talk to Maeve Allsup of Latitude Media about the damage now unfolding in Washington. From the brain drain at the Department of Energy to chaos around clean energy tax credits, Maeve has been tracking the story from inside the industry.We also dig into the turmoil in carbon removal. Climeworks, the biggest name in the sector, is laying off staff and scaling back its US expansion. Critics are calling it the “Theranos” of climate. Is it? We speak with Robert Höglund of CDR.fyi and Milkywire, who says this is just the next phase of the hype cycle—and points to a Carbon Gap paper that helps separate signal from noise.Cuts to clean energy. Turmoil in tech. A moment of clarity—or collapse?And a farewell to Norm.01:26 Tribute to George Wendt 02:14 Elon Musk at the Qatar Economic Forum 04:53 Interview with Robert Höglund on Carbon Removals 05:31 Challenges in the Carbon Removal Industry 13:19 The Gartner Hype Cycle and Carbon Removal 17:08 Policy and Market Dynamics 21:49 Global Perspectives on Carbon Removal 28:59 Interview with Maeve Alsup on Washington Developments 30:49 Clean Tech Investments and Uncertainties 36:00 Geographical Distribution of IRA Investments 37:02 Surprising Early Drafts and Nuclear Concerns 38:19 Geothermal and Tax Credit Challenges 40:23 Uncertainty in Clean Energy Projects 45:01 Department of Energy and Staff Resignations 52:43 Loan Programs Office Under Scrutiny Hosted on Acast. See acast.com/privacy for more information.

Hat KI das Tal der Enttäuschung schon überwunden?: Ein Blick auf den Hype-Cycle   Künstliche Intelligenz ist in der Gesellschaft angekommen – das ist mittlerweile unbestreitbar. Doch wo stehen wir wirklich? Sind wir noch auf dem aufsteigenden Ast oder bereits mitten im "Tal der Enttäuschung"? In dieser Episode werfen wir gemeinsam mit Michael einen Blick auf den Gartner-Hype-Cycle und ordnen die aktuelle Entwicklung von KI ein. Michael Schmid auf LinkedIn: LinkedIn - https://www.linkedin.com/in/michaelschmid-ki/   Wo steht KI im Hype-Cycle? Der Gartner-Hype-Cycle ist ein bewährtes Modell, um die Entwicklung und Marktreife neuer Technologien zu bewerten. Doch kann man wirklich von „DER“ KI sprechen? Oder müsste jede Anwendung, jedes Tool und jeder Bereich der künstlichen Intelligenz individuell betrachtet werden? Gerade Sprachmodelle zeigen beeindruckende Fortschritte in Recherchefähigkeit, Formulierungen und der Reduktion von Halluzinationen. In anderen Bereichen hingegen sind wir noch weit vom angestrebten Reifegrad entfernt.   Das Tal der Enttäuschung – schon überwunden? Viele Nutzer empfinden KI als bahnbrechend, während andere sich immer noch im Spannungsfeld zwischen Erwartungen und Realität bewegen. Trotz großer Ankündigungen – Stichwort KI-Agents – gibt es immer wieder Momente der Ernüchterung. Sind wir also schon durch das "Tal der Enttäuschung" hindurch? Oder steht uns die größte Ernüchterung noch bevor?   Fazit: Die Reife von KI ist differenziert zu betrachten Die künstliche Intelligenz entwickelt sich rasant, aber nicht in allen Bereichen gleich schnell. Während manche Anwendungen bereits reifen und in den Alltag integriert werden, stecken andere noch in den Kinderschuhen. Klar ist: Wir haben das Plateau der Produktivität noch nicht erreicht, und die spannende Entwicklung geht weiter.     Noch mehr von den Koertings ...  Das KI-Café ... jede Woche Mittwoch (>350 Teilnehmer) von 08:30 bis 10:00 Uhr ... online via Zoom .. kostenlos und nicht umsonstJede Woche Mittwoch um 08:30 Uhr öffnet das KI-Café seine Online-Pforten ... wir lösen KI-Anwendungsfälle live auf der Bühne ... moderieren Expertenpanel zu speziellen Themen (bspw. KI im Recruiting ... KI in der Qualitätssicherung ... KI im Projektmanagement ... und vieles mehr) ... ordnen die neuen Entwicklungen in der KI-Welt ein und geben einen Ausblick ... und laden Experten ein für spezielle Themen ... und gehen auch mal in die Tiefe und durchdringen bestimmte Bereiche ganz konkret ... alles für dein Weiterkommen. Melde dich kostenfrei an ... www.koerting-institute.com/ki-cafe/   Das KI-Buch ... für Selbstständige und Unternehmer Lerne, wie ChatGPT deine Produktivität steigert, Zeit spart und Umsätze maximiert. Enthält praxisnahe Beispiele für Buchvermarktung, Text- und Datenanalysen sowie 30 konkrete Anwendungsfälle. Entwickle eigene Prompts, verbessere Marketing & Vertrieb und entlaste dich von Routineaufgaben. Geschrieben von Torsten & Birgit Koerting, Vorreitern im KI-Bereich, die Unternehmer bei der Transformation unterstützen. Das Buch ist ein Geschenk, nur Versandkosten von 6,95 € fallen an. Perfekt für Anfänger und Fortgeschrittene, die mit KI ihr Potenzial ausschöpfen möchten. Das Buch in deinen Briefkasten ... www.koerting-institute.com/ki-buch/   Die KI-Lounge ... unsere Community für den Einstieg in die KI (>1400 Mitglieder) Die KI-Lounge ist eine Community für alle, die mehr über generative KI erfahren und anwenden möchten. Mitglieder erhalten exklusive monatliche KI-Updates, Experten-Interviews, Vorträge des KI-Speaker-Slams, KI-Café-Aufzeichnungen und einen 3-stündigen ChatGPT-Kurs. Tausche dich mit über 1400 KI-Enthusiasten aus, stelle Fragen und starte durch. Initiiert von Torsten & Birgit Koerting, bietet die KI-Lounge Orientierung und Inspiration für den Einstieg in die KI-Revolution. Hier findet der Austausch statt ... www.koerting-institute.com/ki-lounge/   Starte mit uns in die 1:1 Zusammenarbeit Wenn du direkt mit uns arbeiten und KI in deinem Business integrieren möchtest, buche dir einen Termin für ein persönliches Gespräch. Gemeinsam finden wir Antworten auf deine Fragen und finden heraus, wie wir dich unterstützen können. Klicke hier, um einen Termin zu buchen und deine Fragen zu klären. Buche dir jetzt deinen Termin mit uns ... www.koerting-institute.com/termin/   Weitere Impulse im Netflix Stil ... Wenn du auf der Suche nach weiteren spannenden Impulsen für deine Selbstständigkeit bist, dann gehe jetzt auf unsere Impulseseite und lass die zahlreichen spannenden Impulse auf dich wirken. Inspiration pur ... www.koerting-institute.com/impulse/   Die Koertings auf die Ohren ... Wenn dir diese Podcastfolge gefallen hat, dann höre dir jetzt noch weitere informative und spannende Folgen an ... über 390 Folgen findest du hier ... www.koerting-institute.com/podcast/   Wir freuen uns darauf, dich auf deinem Weg zu begleiten!

In this episode of The Geek in Review, we welcome back Legal Tech and Security industry experts, Ken Jones and Josh Smith, to discuss the upcoming ILTA Evolve Conference. Reflecting on last year's focus on AI potential, we discussed how the legal tech landscape is shifting towards practical applications of artificial intelligence and cybersecurity in 2025. Josh and Ken share their insights for legal professionals eager to understand current trends and the real-world impact of emerging technologies.Throughout our discussion, we highlighted the shift from the “what ifs” of AI to tangible, real-world use cases. Josh emphasized that this year, ILTA Evolve is focused on cost-saving AI applications and enhancing productivity, while Ken referenced the Gartner Hype Cycle to illustrate the movement from initial hype to actionable outcomes. The discussion underscores the importance of practical implementation in legal technology for anyone involved in artificial intelligence and cybersecurity.We get the behind-the-scenes process of curating ILTA Evolve content, showcasing how volunteer session coordinators and a diverse committee work together. By gathering input from industry experts, soliciting innovative ideas via LinkedIn, and balancing quantitative feedback with qualitative insights, Ken and Josh made sure that the conference features a wide range of topics. This collaborative approach not only enriches the legal tech experience but also makes ILTA Evolve an event where every legal professional can find valuable takeaways.One of the episode's focal points was Tara Wheeler's keynote, “Navigating the Digital Frontier.” Ken and Josh share their excitement about her deep dive into the intersection of AI and cybersecurity—a topic that mirrors our own discussions on legal tech advancements. In addition to high-caliber educational sessions, there is extensive networking opportunities at ILTA Evolve, including interactive workshops, built-in networking breaks, and engaging social events. These elements are critical for fostering professional connections in the legal technology community.As our conversation wrapped up, we looked forward to the future of legal tech and the evolving challenges in data governance, cybersecurity, and regulatory compliance. We shared our thoughts on how rapid technological advancements call for a balance between automation and human expertise. Despite the complexities of emerging legal tech trends, we remain optimistic that ILTA Evolve will continue to educate, connect, and inspire the legal tech community well into the future.Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Evolving Legal Tech Trends: From Theory to PracticeCollaborative Theme Selection & Diverse ContentHighlighting Keynotes and Networking OpportunitiesFuture Challenges and Opportunities in Legal TechBlue Sky: ⁠⁠@geeklawblog.com⁠⁠ ⁠⁠@marlgeb⁠⁠⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.comMusic: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠ Transcript

This week, we discuss how LLMs are changing software development, OpenAI's deep research, and why the Gartner Hype Cycle persists. Plus, a business plan built entirely around ice! Watch the YouTube Live Recording of Episode (https://www.youtube.com/watch?v=JyTb1v4-oZQ) 506 (https://www.youtube.com/watch?v=JyTb1v4-oZQ) Runner-up Titles I bought the DevOps I'm always looking for tomatillas You're making a strong case for RTO The CEO of ice. The VP of Ice Machines. What you are doing is toil I think about WALL-E every day Eliminating the first draft Rundown The End of Programming as We Know It (https://www.oreilly.com/radar/the-end-of-programming-as-we-know-it/) Apple Earnings, OpenAI Deep Research, The Unbundling of Substantiation (https://stratechery.com/2025/apple-earnings-openai-deep-research-the-unbundling-of-substantiation/) Gartner's Grift Is About To Unravel (https://dx.tips/gartner) Relevant to your Interests Google goes heavy on investment but light on detail (https://on.ft.com/3Q619Wc) Researchers created an open rival to OpenAI's o1 'reasoning' model for under $50 (https://techcrunch.com/2025/02/05/researchers-created-an-open-rival-to-openais-o1-reasoning-model-for-under-50/) Dumping open source for proprietary rarely pays off: Better to stick a fork in it (https://www.zdnet.com/article/dumping-open-source-for-proprietary-rarely-pays-off-better-to-stick-a-fork-in-it/) Report: OpenAI's ex-CTO, Mira Murati, has recruited OpenAI co-founder John Schulman (https://techcrunch.com/2025/02/06/report-openais-ex-cto-mira-murati-has-recruited-openai-co-founder-john-schulman/) Broadcom and Nvidia are capitalizing on the return of the winner-take-all AI trade (https://sherwood.news/markets/broadcom-and-nvidia-are-capitalizing-on-the-return-of-the-winner-take-all-ai/) When will remote workers see their pay cut? (https://www.economist.com/finance-and-economics/2025/02/06/when-will-remote-workers-see-their-pay-cut) How Microsoft Releases Changes to Azure - Safe Deployment (https://luke.geek.nz/azure/azure-platform-release-process/) Servers can last a long time (https://world.hey.com/dhh/servers-can-last-a-long-time-165c955c) Matt Mullenweg: WordPress Controversy, Future of Open Source AI, and Navigating Backlash (https://theloganbartlettshow.substack.com/p/matt-mullenweg-wordpress-controversy?utm_source=post-email-title&publication_id=1161376&post_id=156676755&utm_campaign=email-post-title&isFreemail=true&r=yr5ci&triedRedirect=true&utm_medium=email) Turn/River Agrees to Buy SolarWinds Years After Cyber-Attack (https://finance.yahoo.com/news/turn-river-agrees-buy-solarwinds-174426287.html) Gartner's Grift Is About To Unravel (https://dx.tips/gartner) Developer creates endless Wikipedia feed to fight algorithm addiction (https://arstechnica.com/gadgets/2025/02/new-wikitok-web-app-allows-infinite-tiktok-style-scroll-of-wikipedia/) You Didn't Notice MP3 Is Now Free (https://idiallo.com/blog/listen-mp3-is-free?ref=labnotes.org&utm_source=substack&utm_medium=email) The DevTools Ceiling: great as Open Source, AND a Terrible Business (https://dx.tips/ceiling) The VGHF Library opens in early access | Video Game History Foundation (https://gamehistory.org/vghf-library-launch/) Docker Announces Don Johnson as New CEO, Succeeding Scott Johnston (https://www.globenewswire.com/news-release/2025/02/12/3025262/0/en/Docker-Announces-Don-Johnson-as-New-CEO-Succeeding-Scott-Johnston.html) Developers Unhappy With Tool Sprawl, Lagging Data, Long Waits (https://thenewstack.io/developers-unhappy-with-tool-sprawl-lagging-data-long-waits/) Thomson Reuters Wins First Major AI Copyright Case in the US (https://www.wired.com/story/thomson-reuters-ai-copyright-lawsuit/) Apple brings heart rate monitoring (https://techcrunch.com/2025/02/11/apple-brings-heart-rate-monitoring-to-powerbeats-pro-2/) Nonsense TabBoo (https://tabboo.xyz/) Conferences DevOpsDayLA (https://www.socallinuxexpo.org/scale/22x/events/devopsday-la) at SCALE22x (https://www.socallinuxexpo.org/scale/22x), March 6-9, 2025, discount code DEVOP VMUG NL (https://vmugnl.nl), March 12th, Coté speaking. DevOpsDays Chicago (https://devopsdays.org/events/2025-chicago/welcome/), March 18th, 2025. SREday London (https://sreday.com/2025-london-q1/), March 27-28, Coté speaking (https://sreday.com/2025-london-q1/Michael_Cote_VMware__Pivotal_Platform_Engineering_for_Private_Cloud). 10% with code LDN10 Monki Gras (https://monkigras.com/), London, March 27-28, Coté speaking. Cloud Foundry Day US (https://events.linuxfoundation.org/cloud-foundry-day-north-america/), May 14th, Palo Alto, CA NDC Oslo (https://ndcoslo.com/), May 21-23, speaking. KubeCon EU (https://events.linuxfoundation.org/kubecon-cloudnativecon-europe/), April 1-4, London. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Oxide and Friends | AI Disruption: DeepSeek and Cerebras (https://oxide-and-friends.transistor.fm/episodes/ai-disruption-deepseek-and-cerebras) Matt: Beats Fit Pro (https://www.beatsbydre.com/earbuds/beats-fit-pro/MK2J3/sage-gray) Coté: Alfred (https://www.alfredapp.com). PoliticalWire.com (https://members.politicalwire.com/referral/30klklm). Photo Credits Header (https://unsplash.com/photos/crystal-gemstones-PteeDvACFak)

Mike Cahill is the Founder and CEO of Douro Labs, building oracle tooling, products, and Web3 infra for Pyth Network's suite of decentralized data services.In this episode, we discuss the vision for Pyth Network to make the price of everything, available everywhere onchain. Pyth is a household name among DeFi oracle providers for a reason, with 600 data feeds, 470 apps, and over 90 blockchains supported. But it didn't happen overnight! As a former high frequency trader at Jump, Mike shares the origin story for recognizing where DeFi would evolve and why he leaped at the chance to build Pyth. We also dive in their latest release of Pyth Lazer 1 ms price feeds, their partnership with Revolut, and where they are focused building next in 2025 to support a world rapidly migrating onchain.------

In this insightful episode of The New CISO, host Steve Moore reconnects with Azzam Zahir to explore his career evolution, from cybersecurity leadership to his recent role as a vertical CIO at General Motors. Azzam shares candid reflections on his conscious decision to leave his 12-year tenure, embracing change, and navigating personal growth in leadership roles.Dive into Azzam's inspiring journey as he discusses:Overcoming Career Burnout: How to recognize signs of exhaustion and take proactive steps toward rejuvenation.Navigating Career Pivots: The importance of calculated risks and stepping beyond the traditional boundaries of cybersecurity.Building Trust Through Relationships: Insights on fostering trust and credibility within organizations to facilitate career growth.Maintaining Mental Health: Practical tips on incorporating wellness into demanding careers, from mental health check-ins to daily habits for balance.The Gartner Hype Cycle of Careers: Azzam's unique perspective on managing career highs and lows and knowing when to make a change.This episode is a must-listen for IT and security professionals considering career transitions, aspiring leaders seeking inspiration, or anyone looking to balance professional growth with personal well-being. Tune in to gain actionable advice and deep reflections from a leader who's successfully embraced transformation.0:00 Introduction and Guest Overview1:43 Announcing a Career Change5:54 Transitioning from Cybersecurity to CIO13:03 The Emotional Impact of Cybersecurity Careers22:36 Prioritizing Health and Wellness30:10 The Power of Non-Traditional Thinking35:34 The Gartner Hype Cycle of Careers41:55 Advice for Career TransitionsLinks: LinkedIn

Thu, 16 Jan 2025 23:00:00 +0000 https://mydata.podigee.io/252-new-episode 6b9115eef4ec491d89adc9ead0f24fe1 Wie geht man als Unternehmen mit dem aktuellen KI-Hype um? Welche Chancen und Risiken gibt es wirklich? Und warum ist manchmal weniger mehr beim Thema KI-Transformation? Darum geht es in der neuen Folge von MY DATA IS BETTER THAN YOURS, in der Host Jonas Rashedi mit Damian Beldycki spricht. Dieser verantwortet als Director Digital, Data and Solutions die Themen Operations, Digitalization, IT und Data im Bereich Organizational Development & People (HR) bei O2. Im Gespräch der beiden Data-Experten geht es zunächst um eine realistische Einschätzung des KI-Hypes. Damian erklärt, warum wir uns aktuell auf dem "Peak of Inflated Expectations" befinden und was das für Unternehmen bedeutet. Dabei wird deutlich: Die größte Gefahr ist nicht die KI selbst, sondern sie zu verschlafen. Damian gibt konkrete Einblicke, wie O2 den KI-Transformationsprozess gestaltet. Der Fokus liegt dabei auf einem ganzheitlichen AI-Framework aus Vision, Ethics & Governance, Organization & People, Use-Cases, Data & Infrastruktur und Enabler. Besonders wichtig: Die Mitarbeiter von Anfang an mitzunehmen. Der Director Digital Data and Solutions teilt spannende Use Cases aus der Praxis. Von der Netzoptimierung über Customer Analytics bis hin zu generativer KI werden verschiedene Anwendungsfelder beleuchtet. Dabei wird klar: Der Erfolg hängt weniger von der Technologie als von den Menschen ab. MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für hochwertige Podcasts. Zum LinkedIn-Profil von Damian: https://www.linkedin.com/in/damian-beldycki/ Zur Webseite von O2: https://www.o2online.de/ Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi Zeitstempel: 00:00:00 Intro und Begrüßung 00:05:15 Gartner Hype Cycle 00:07:31 KI-Hype und aktuelle Marktentwicklung 00:12:56 Regulierung vs. Innovation in Deutschland 00:17:38 KI: Ethik und Bias 00:24:08 Ganzheitliche KI-Strategie 00:29:57 Change Management und Mitarbeiter-Einbindung 00:34:38 Use Cases bei O2 00:45:25 Persönliche KI-Nutzung full no Jonas Rashedi

In the latest epsiode of Mint Techcetra our hosts Shouvik Das and Leslie D'Monte talks about CES 2025, where tech world is buzzing with exciting innovations, but are they really groundbreaking or just early generation attempts? From Samsung's omnipresent screens to Hyundai's futuristic full-windshield holographic displays, the Consumer Electronics Show is showcasing tech that's pushing the limits of what we expect from devices. One of our very own, Leslie D'Monte, had an insightful chat with Kinsey Fabrizio, the President of the Consumer Technology Association, who shared her perspective on the trends shaping the future. As much as companies strive to stay at the forefront of innovation, some wonder whether these advancements are simply incremental improvements or the next big thing. From PlayStation's cutting-edge experiences to BMW's panoramic concepts, CES is clearly filled with bold promises, yet the question remains: are these really revolutionary ideas, or just hype? But it's not all about tech inside your car or home—there's more to innovation this year. The conversation shifts to ISRO's Spadex docking experiment, a milestone for India's space exploration. What does it take to create a docking module capable of connecting spacecraft in orbit? We unravel the complexities of this experiment and discuss its importance for upcoming missions like Chandrayaan 3, Gaganyaan, and even the possibility of a future Indian Space Station. Join us as we ponder the balance between futuristic concepts at events like CES and the tangible advancements happening in space. Is this the year tech crosses over from hype to meaningful impact? Tune in to find out! Let me know if you'd like any further refinements!

Get the latest insights from the AAMBITION Podcast delivered straight to your inbox. Subscribe HERE.++++Episode 38 of the “Aerospace Ambition Podcast” featuring Frank Opel (PACE) is out!Talking PointsWhy is contrail management still seen as less urgent compared to other sustainability measures, despite its potential for immediate climate impact?As airlines explore contrail management, is real-time tactical adjustment more practical than pre-tactical strategic planning?Is competition between companies accelerating innovation in sustainable aviation technologies, or does it create unnecessary challenges?What role does reliable data linkage and forecasting accuracy play in executing effective contrail management strategies?How do airlines overcome technological and financial hurdles to adopt real-time flight optimization tools?What future advancements, such as better forecasting models or onboard humidity sensors, could enhance contrail management solutions?Where does contrail management sit on the Gartner Hype Cycle for emerging technologies in aviation?GuestFrank is a seasoned expert in flight operations and aviation technology. Frank's career spans nearly 12 years at PACE, where he has steadily worked his way up to become the Director of the Flight Operations Line of Business. His journey began with a strong academic foundation, earning both a Bachelor's and Master's degree in Aviation Engineering and Aviation Logistics from Technische Hochschule Wildau. For his final thesis, he collaborated with DLR to delve into flight testing and simulation, an experience that set the stage for his later achievements.Resourceshttps://sponsored.bloomberg.com/article/google-sustainability/ai-is-helping-mitigate-aviations-climate-impact

Taking unproven routes can lead to exciting new possibilities. However, it could also lead to potential failure. That's what makes life interesting, isn't it?  Optimistic thinking has led to groundbreaking achievements, like the moon landing in the 1960s. However, it's important to strike a balance between hope and realism.  In today's episode, we explore the concept of optimism bias and how it plays a role in the "AI Hype Cycle." We discuss the pros and cons of optimism and why it can be risky and rewarding.  For those of you who don't watch MBA videos as a hobby, this video summarizes the Hype Cycle's importance and how it relates to the recent trend toward leveraging Big Data.  So, what is this hype cycle we keep referring to?  The Gartner Hype Cycle maps out the lifecycle of new technologies, including artificial intelligence (AI). Starting with initial media excitement, the Hype Cycle often leads to inflated expectations, followed by disillusionment as challenges arise. However, innovation doesn't stop there. As understanding improves, we reach a more balanced "slope of enlightenment," eventually leading to the "plateau of productivity," where technology adoption becomes more widespread and realistic. The discussion touches on AI's current status in the Hype Cycle, questioning whether we are at a turning point where initial optimism is waning. Some organizations overestimate the short-term benefits of AI, hoping it will be the silver bullet to solve all their problems, only to face disappointment when things don't work out as expected.  Like many other innovations, AI is more complex to implement than initially imagined, and optimism can sometimes blind organizations to its true limitations. Managing expectations is key: while optimism is necessary to drive change and innovation, one must temper it with caution and realistic planning.  Ultimately, this episode encourages listeners to temper optimism with practicality regarding new technologies like AI. Small, calculated risks are encouraged, but organizations should avoid placing all their bets on one solution. Balance is key to navigating the Hype Cycle successfully. More Key Points Discussed in This Episode: Understanding the pros and cons of optimism bias in business decision-making. An overview of the Gartner Hype Cycle and how it applies to AI. Why the initial excitement around AI may not meet short-term expectations. The risk of overhyping new technologies and the consequences of inflated expectations. The importance of balancing optimism with realism in the implementation of AI. Strategies for navigating the Hype Cycle without falling victim to disillusionment.  

Taking unproven routes can lead to exciting new possibilities. However, it could also lead to potential failure. That's what makes life interesting, isn't it?  Optimistic thinking has led to groundbreaking achievements, like the moon landing in the 1960s. However, it's important to strike a balance between hope and realism.  In today's episode, we explore the concept of optimism bias and how it plays a role in the "AI Hype Cycle." We discuss the pros and cons of optimism and why it can be risky and rewarding.  For those of you who don't watch MBA videos as a hobby, this video summarizes the Hype Cycle's importance and how it relates to the recent trend toward leveraging Big Data.  So, what is this hype cycle we keep referring to?  The Gartner Hype Cycle maps out the lifecycle of new technologies, including artificial intelligence (AI). Starting with initial media excitement, the Hype Cycle often leads to inflated expectations, followed by disillusionment as challenges arise. However, innovation doesn't stop there. As understanding improves, we reach a more balanced "slope of enlightenment," eventually leading to the "plateau of productivity," where technology adoption becomes more widespread and realistic. The discussion touches on AI's current status in the Hype Cycle, questioning whether we are at a turning point where initial optimism is waning. Some organizations overestimate the short-term benefits of AI, hoping it will be the silver bullet to solve all their problems, only to face disappointment when things don't work out as expected.  Like many other innovations, AI is more complex to implement than initially imagined, and optimism can sometimes blind organizations to its true limitations. Managing expectations is key: while optimism is necessary to drive change and innovation, one must temper it with caution and realistic planning.  Ultimately, this episode encourages listeners to temper optimism with practicality regarding new technologies like AI. Small, calculated risks are encouraged, but organizations should avoid placing all their bets on one solution. Balance is key to navigating the Hype Cycle successfully. More Key Points Discussed in This Episode: Understanding the pros and cons of optimism bias in business decision-making. An overview of the Gartner Hype Cycle and how it applies to AI. Why the initial excitement around AI may not meet short-term expectations. The risk of overhyping new technologies and the consequences of inflated expectations. The importance of balancing optimism with realism in the implementation of AI. Strategies for navigating the Hype Cycle without falling victim to disillusionment.  

BreachLock is Recognized as a Prominent Vendor in both PTaaS and EASM Categories in the 2024 Gartner® Hype Cycle™ for Security Operations. Learn more about our sponsor BreachLock at https://www.breachlock.com/

BreachLock is Recognized as a Prominent Vendor in both PTaaS and EASM Categories in the 2024 Gartner® Hype Cycle™ for Security Operations. Learn more about our sponsor BreachLock at https://www.breachlock.com. For more on cybersecurity, visit us at https://cybersecurityventures.com

Morgan and Jesse are back from a busy week at the Benzinga Cannabis Capital Conference in Chicago. This week's show focuses on what they learned at the event, and they both share their three biggest takeaways. Topics include institutional involvement, hemp, M&A, Ohio, and more. The guys also discuss the Gartner Hype Cycle and how we feel deep in the trough of disillusionment. Investors feel impatient and fatigued, which contrasts with what may be an exciting set of catalysts as we head into 2025. 

Eine technische Vision für die technische Leitlinie.Klare Regeln, eine klare Richtung, in die dein Team läuft, sind essentiell, um schnelle Entscheidungen ohne Streit zu treffen. Jedes Software-Team hat als Ziel, sich schnell zu bewegen, dynamisch und agil zu sein. Doch dafür sind ein paar Leitlinien notwendig und die Richtung muss für alle klar sein.Doch wie macht man dies? Das Stichwort der Stunde heißt “technische Vision”. Wir klären was das für eine Vision ist, wo der Unterschied zur Produkt-Vision ist, warum diese Vision auf Team- oder auf Firmenebene gesetzt werden kann, wer diese setzen sollte, untermalen das ganze mit ein paar griffigen Beispielen, setzen verwandte Hilfsmittel wie das Techradar und ein Engineering Manifesto in Relation und geben euch eine kleine Anleitung wie man eine technische Vision erstellt.Bonus: Wie Berater mit der Antwort “It depends” immer wieder punkten.Das schnelle Feedback zur Episode:

It's important to understand how to build and impute AI into your business. We're going through a lot of trial and error, but it's important to learn from other's mistakes and research. Let's talk about it.#generativeai #llms #chatgpt Resources:Understand areas of Data Science: https://www.sitepoint.com/premium/books/data-science-tools-skills/read/1/ks9kbeps/Gartner Hype Cycle: https://www.infodocket.com/2024/08/22/generative-ai-is-sliding-into-the-trough-of-disillusionment-according-to-2024-gartner-hype-cycle-report/Harvard GenAI Business Study: https://www.hbs.edu/ris/Publication%20Files/24-013_d9b45b68-9e74-42d6-a1c6-c72fb70c7282.pdfTransformer Explainer: https://poloclub.github.io/transformer-explainer/——————Follow me: https://www.instagram.com/wesjh_/X (fka Twitter): https://twitter.com/wesjh_  @chubbies, @chubbiesshortsSubscribe to the podcast!Apple: https://podcasts.apple.com/us/podcast/wes-henderson-podcast/id1570344602Spotify: https://open.spotify.com/show/2WPDYKlvgoYbZWLPMMSxHa?si=O3ZEC-lORS2FLAs0e_xx6wSupport the Channel with my affiliate links!https://havenathletic.com/WES-HENDERSON. Code WES-HENDERSONShop Lululemon: https://creatoriq.cc/3sKggwzhttps://www.patreon.com/weshendersonBest active eyewear and triathlon gear in the game! Visit ROKA! https://www.avantlink.com/click.php?tt=cl&merchant_id=cca349d7-b121-43c4-a8a4-56bc2f084318&website_id=04d4bb09-ade8-466e-8f50-d02b5ef94363&url=https%3A%2F%2Fwww.roka.com%2F Thorne: Most science backed, and clinically validated supplements on the market - Get 20% off your first order with my link: https://thor.ne/qOtrs My choice for CBD - cbdMD - 15% OFF - https://cbdmd.t7c9v8.net/ZkMEkBadass Coffee Company - NVR Rest - Use ‘WES' to get 10% off - https://nvrrest.com/Shop on Amazon! https://www.amazon.com/?&_encoding=UTF8&tag=wesjh-20&linkCode=ur2&linkId=70b15611910ce468775b76425895bbae&camp=1789&creative=9325To get your own Eight Sleep mattress or pod pro cover use the following link and code 'WES' for $100 Off at checkout: https://eight-sleep.ioym.net/qnANPb

Understanding the trajectory of AI technologies is crucial for executive leaders looking to harness these innovations' full potential. In this episode, Senior Director Analyst Afraz Jaffri breaks down the 2024 Gartner Hype Cycle™ for AI, offering a clear perspective on the latest developments and trends in AI. Discover where GenAI stands today, what's next for maturing technologies such as computer vision, and how emerging trends like decision intelligence could shape the future. Dig Deeper Download Now: Build a Value-Driving AI Strategy for Your Business https://gtnr.it/3YdrTJD  Watch Now: Gartner Global Chief of Research Breaks Down the 2024 Gartner AI Hype Cycle https://bit.ly/3SOHZpt 

The latest Gartner Hype Cycle indicates that the use of marketing Generative AI is about to slip into the Trough of Disillusionment. In this week's episode, hosts Chris Boyer and Reed Smith discuss some of Gartner's findings and the impact it has on digital marketing, review a story that opines on whether AI is in a bubble and share the current adoption rate in the healthcare industry.  Mentions from the Show: 3 Impending Technology Shifts Rule the Gartner Hype Cycle™ for Digital Marketing Three reasons we're in an AI bubble (and four reasons we're not) Generative AI in healthcare: Adoption trends and what's next  Reed Smith on LinkedIn Chris Boyer on LinkedIn Chris Boyer website Learn more about your ad choices. Visit megaphone.fm/adchoices

Dino Scheidt is an AI Engineer, former CTO and Founder who works with Fortune 50s, Start-Ups, and Governments on Data Intelligence and AI Architectures. In this conversation, we explore the evolving landscape of AI with a particular focus on generative AI and its applications. Dino criticizes the concept of 'AI strategies,' arguing that AI should be seen as a tool rather than a strategy. Despite his initial skepticism towards generative AI, Dino acknowledges its potential, especially in transforming traditional value chains through AI-enabled communications. We also delve into the challenges and opportunities posed by non-deterministic systems, the concept of Data P&L, and the complexity of integrating generative AI into existing business operations. Dino wraps up the discussion by emphasizing the importance of lateral thinking and digital representation of business processes to leverage future AI innovations effectively. EPISODE LINKS: Dino Scheidt LinkedIn: https://linkedin.com/in/dinoscheidt Dino Scheidt Website: https://din.ooo The Gartner Hype Cycle: https://en.wikipedia.org/wiki/Gartner_hype_cycle TIMESTAMPS: 00:00:12 Introduction and background 00:00:45 AI and Generative Models 00:04:36 Deterministic vs Non-Deterministic Systems 00:08:19 Unpredictability, Value Chain, and AI Integration 00:13:26 Hype Cycle: Adjective to Noun 00:19:13 Strategic Integration of Generative AI 00:28:36 Value of Generative AI: Consumer vs. Enterprise Perspectives 00:32:12 Event Storming and Tactical AI 00:39:51 Future of AI and Final Thoughts 00:42:36 Closing CONNECT: Website: https://hoo.be/elijahmurray YouTube: https://www.youtube.com/@elijahmurray Twitter: https://twitter.com/elijahmurray Instagram: https://www.instagram.com/elijahmurray LinkedIn: https://www.linkedin.com/in/elijahmurray/ Apple Podcasts: https://podcasts.apple.com/us/podcast/the-long-game-w-elijah-murray/ Spotify: https://podcasters.spotify.com/pod/show/elijahmurray RSS: https://anchor.fm/s/3e31c0c/podcast/rss

As the US teeters on the brink of a recession, we're seeing economies around the world take a hit. What role, if any, did the hype around AI play? We take a critical look at the Gartner Hype Cycle and whether it applies to artificial intelligence. See omnystudio.com/listener for privacy information.

This week Daniel & Chris hang with repeat guest and good friend Demetrios Brinkmann of the MLOps Community. Together they review, debate, and poke fun at the 2024 Gartner Hype Cycle chart for Artificial Intelligence. You are invited to join them in this light-hearted fun conversation about the state of hype in artificial intelligence.

This week Daniel & Chris hang with repeat guest and good friend Demetrios Brinkmann of the MLOps Community. Together they review, debate, and poke fun at the 2024 Gartner Hype Cycle chart for Artificial Intelligence. You are invited to join them in this light-hearted fun conversation about the state of hype in artificial intelligence.

In this episode of Trending in Education, Mike Palmer and his AI co-host Nancy explore whether generative AI in education has entered the peak of inflated expectations or even the trough of disillusionment on the Gartner Hype Cycle. We discuss the origins of the Hype Cycle and its relevance to current AI trends. Then we dive into recent developments, including the LAUSD's experience with an AI chatbot and Scarlett Johansson's battle with OpenAI over the rights to her voice. These events highlight growing concerns about data privacy, cybersecurity, and intellectual property in the AI space. We also examine the concept of the Uncanny Valley and its impact on AI adoption, emphasizing the need for human involvement to smooth over AI's shortcomings. The discussion touches on the challenges of data interoperability in education and the importance of solving real problems with seamless, user-friendly solutions. Key takeaways: Generative AI may be entering the trough of disillusionment, with increasing focus on negative stories and backlash. Data privacy, cybersecurity, and intellectual property concerns are becoming more prominent in AI implementation. Human involvement remains crucial in AI integration, particularly in addressing the Uncanny Valley effect and ensuring effective emotional design. Join us for this insightful exploration of AI's current state in education. Don't forget to subscribe to Trending in Education for more thought-provoking discussions on the future of learning and technology!

In today's episode of the SEOLeverage Podcast, Gert and his guest, Tim Warren discussed the future of AI technology and its impact on SEO. They emphasize the need to understand and embrace these changes to remain competitive while acknowledging the limitations of machine learning and AI in capturing human emotions.  They also discuss the potential impact of AI on the legal industry, proposing specialist AI engines and a shared platform for the entire industry. Finally, Tim Warren tells Gert about his hopes that Knowledge Graph will make it possible for Google to have personalized conversations that understand who people are. Podcast Highlights: 00:00 Prologue 01:06 Introduction to the podcast episode topic and the guest 02:15 Tim Warren's background and his role as a Chief Provocation Officer 03:46 The importance of asking questions in the face of change 04:39 AI impact on white-collar jobs 08:06 The Gartner Hype Cycle and AI's evolution 13:26 Rise and fall of AI companies 16:06 The Importance of Human Expertise in SEO 23:12 Why more and more people are utilizing AI for their online search 32:13 AI in Personal Finance 36:35 The importance of trust and personalization in AI 43:35 The role of digital companions 50:41 Where to connect with Tim Warren? 51:09 End   Resources:  ChatGPT - https://chatgpt.com/ Anthropic - https://www.anthropic.com/ OpenAI - https://openai.com/ Claude - https://claude.ai CopilotAI - https://www.copilotai.com/ Perplexity - https://www.perplexity.ai/ Connect with Tim Warren: LinkedIn - https://www.linkedin.com/in/tswarren/   Connect with Gert Mellak: Website: https://seoleverage.com/ Email: info@seoleverage.com  

In 2023, the AI industry spent an estimated $50 billion on Nvidia chips, with the purpose of training AI models. The payoff for all that spend, according to Sequoia Capital, is $3 billion in revenue. Is that a return worth bragging about? RIcky Mulvey talks with Fool analyst Asit Sharma about how investors might think about companies' AI spend. They also discuss: - The rate of improvement for AI models - How non-Mag 7 companies are using AI - And one company that's spending smartly on the new technology.  Take a look at the Gartner Hype Cycle.  Host: Ricky Mulvey Guest: Asit Sharma Producer: Mary Long Engineer: Tim Sparks Companies discussed: GOOG, MSFT, NVDA, ARM, AMD, ORCL Learn more about your ad choices. Visit megaphone.fm/adchoices

Was ist dran an der Kritik zu AboutYou? Hat Snowflake Moats? Werbung: Teste Storyblok 14 Tage kostenlos und entdecke die Vorteile eines modernen CMS auf get.storyblok.com/dg Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Waschmaschinen & EM (00:04:15) Was soll Glöckler gründen (00:11:40) AboutYou (00:47:00) Shein  (00:56:00) OpenAI (01:03:00) Gartner Hype Cycle  (01:06:00) Snowflake (01:11:30) Meta (01:14:30) Apple Brille Shownotes: AboutYou: Wiwo Shein: FT OpenAI: Pymnts Hype Cycle: LinkedIn Meta: Spiegel Apple Vision Pro: The Information

In this episode of the Mixing Music Podcast, Dee Kei and Lu tackle the topic of optimism about AI in the creative industry, specifically for full-time audio engineers. They explore concerns about copyright infringement and job security, while also highlighting the potential of AI as a powerful tool for enhancing creativity. The discussion emphasizes the indispensable need for human innovation and experience in the music industry, even as technology advances. Dee Kei and Lu delve into how professionals can adapt to the evolving landscape, referencing the Gartner Hype Cycle to understand the phases of AI adoption and its realistic impact. Tune in to gain insights on balancing the integration of AI with the irreplaceable value of human touch in audio engineering.SUBSCRIBE FOR 3X THE EPISODESDOWNLOAD FREE STUFFFOLLOW DEE KEI ON TWITCH!Join the ‘Mixing Music Podcast' Discord!HIRE DEE KEIHIRE LUFind Dee Kei and Lu on Social Media:Instagram: @DeeKeiMixes @MasteredbyLuTwitter: @DeeKeiMixes @MasteredbyLuCHECK OUT OUR OTHER RESOURCESJoin the ‘Mixing Music Podcast' Group:Discord & FacebookThe Mixing Music Podcast is sponsored by Tegeler Izotope, Antares (Auto Tune), Plugin Boutique, Lauten Audio, Spreaker, Filepass, & CanvaThe Mixing Music Podcast is a video and audio series on the art of music production and post-production. Dee Kei and Lu are both professionals in the Los Angeles music industry having worked with names like 6arelyhuman, Odetari, Natalie Jane, Keyshia Cole, Trey Songz, Smokepurrp, Benny the Butcher, Sueco the Child, Ari Lennox, G-Eazy, Lucky Daye, DDG, Lil Xan, Masego, $NOT, Kanye West, Symba, Bludnymph, charlieonnafriday, Blackway, Atlantic Records, Dreamville, BET, Universal Music, Interscope Records, etc.This video podcast is meant to be used for educational purposes only. If you would like to sponsor the show, please email us at deekeimixes@gmail.com.Support this podcast at — https://redcircle.com/mixing-music-music-production-audio-engineering-and-music/exclusive-contentAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Join hosts Chelsea Jones and Curtis Maloley as they dive into the world of open education and digital technology with Dr. Bonnie Stewart, a keynote speaker at the 2024 TMU Learning and Teaching Conference and associate professor at the University of Windsor. In this episode, Dr. Stewart shares her insights on generative AI, reflecting on her initial skepticism and her current views shaped by decades of experience in educational technology. They discuss the Gartner Hype Cycle, the ethical implications of AI in education, and the potential for both transformative and problematic impacts. Dr. Stewart emphasizes the need for educators to engage with AI thoughtfully, balancing innovation with a critical understanding of its effects on students and teaching practices. This episode is a must-listen for educators navigating the complexities of AI in the classroom. Read the transcript: https://tinyurl.com/yckaxcsa

Episode 232: When AI Shifts the Balance of Power to Consumers: Preparing for a New Business Reality Matt Harris, Partner at Bain Capital Ventures, argues that generative AI will soon empower customers in unexpected ways. Consumers, he predicts, will soon use AI tools to continuously discover lower loan rates, higher-yield savings accounts, or more attractive insurance policies. As a result, Matt anticipates a shift in customer-company power dynamics. Imagine, for example, an AI agent able to continuously move your deposits to the highest-yielding savings accounts or refinance your loans to the best available rates with little intervention required from you. Imagine consumer tools for interpreting medical scans and providing a diagnosis to compare to your doctor's assessment. Generative AI could even transform the future of mental health therapy to be more effective, efficient, and streamlined. Join us as we discuss the present and future of consumers' newfound AI-driven power and analyze where organizations and their leaders should be pointed next to remain competitive. Guest: Matt Harris, Partner, Bain Capital Ventures Host: Rob Markey, Partner, Bain & Company Give Us Feedback: We'd love to hear from you. Help us enhance your podcast experience by providing feedback here in our listener survey. Want to get in touch? Send a note to host Rob Markey: https://www.robmarkey.com/contact-rob Time-stamped list of topics covered: [02:53] How businesses use generative AI for productivity and future innovation [09:23] Discussion on the Gartner Hype Cycle for generative AI [17:09] What it means for customers to be “superpowered” and an overview of a few generative AI applications in finance and medicine [22:28] AI's impact on society and the future of work [27:44] Adapting to a world with superpowered customers who now demand more from businesses, emphasizing the need for deepened customer relationships and greater levels of innovation Time-stamped list of notable quotes: [10:55] "Every new technology experiences [influx and they] disillusion the rest of the market because they have these spectacular failures.” [14:20] “[Generative AI] is a much more powerful tool for customers than it is for companies. And an equal or larger part of energy should be going in these boardrooms to imagining a world where customers have the power of generative AI and the implications for your entire business model.” [18:00] “I revere doctors. But how could we expect that a single human being would have all of the medical knowledge in their head? This is something computers will be better at.” [22:16] "I think I could make an argument that generative AI, combined with predictive machine learning, and being moved forward as fast as these technologies are advancing, will be better at almost everything.” [27:53] “We should be spending as much energy thinking and worrying and planning for a ‘superpowered' customer world as we are thinking about how we use [technology] ourselves, and I'm just not seeing people doing that.” Additional Resources: Read Matt's article for BCV, The Age of the Superpowered Customer The Age of AI and Our Human Future by Henry A. Kissinger, Eric Schmidt, and Daniel Huttenlocher The AI Advantage by Thomas H. Davenport Prediction Machines by Ajay Agrawal, Joshua Gans, and Avi Goldfarb Learn about Bain's spin-off, Bain Capital, which has operated as a separate company since 1984 Learn More About Our Guest and Host: Guest: Matt Harris LinkedIn Profile Host: Rob Markey LinkedIn Profile

Ray relays the Maxda sunroof repair that even he can't fully believe.  Guest Carl Anthony from www.automoblog.net dives deep into Ray's story about driving an old Chevy cross country on its 38th anniversary, then schools us all on the Gartner Hype Cycle.  Callers discuss Grand Funk Railroad trivia with the crew, and Chris questions the practicality of EV car use moving forward.

In the noisy world of digital marketing, what can catapult a brand to "genius" status?   Suzanne Schwartz, Senior Director Analyst in the Gartner for Marketing Leaders practice, delves into the findings of our annual Genius Brands report, which benchmarks the digital marketing performance of brands across industries. This year's report emphasizes the importance of investing in people and processes over technology, maintaining robust brand governance and prioritizing customer touchpoints. The 36 brands featured outperform their peers by leveraging data science, machine learning and generative AI to create impactful marketing.   Dig Deeper   Download Now: Digital Marketing Excellence in Action: See the Standout Performers https://gtnr.it/43E4LEW   Learn More: 3 Impending Technology Shifts Rule the Gartner Hype Cycle™ for Digital Marketing https://gtnr.it/3PGkKfI  

How do you find companies driving market-making moves with AI? Look for strong focused leaders that are on an impact mission—but aren't afraid to pivot. For years I have been speaking on, writing about, advising, and running AI-related ventures. But with Generative AI (GAI) at the peak of the Gartner Hype Cycle, we still find ourselves in the too much talk and not enough impact phase. This “all hat, no cattle” dilemma reminds me of the famed Wendy's “Where's The Beef” ad campaign.  Sure, there are some wins on the board since the AI sector got a turbo boost with the introduction of ChatGPT at the end of 2022. This innovation continues to drive endless hype, competition, and investment into the AI sector, specifically for Large Language Models (LLMs) and GAI. But beyond the novelty cocktail party chatter, that will come and go like most hyped cycles, I've been looking for phase two AI organizations that can transform companies, industries, countries and even societies. One way to spot those, or find the beef, is to follow the smart money. At the forefront of this wave, helping others develop and integrate generative AI for their needs, is Kore.ai. With over 200 partners and working with 400 Fortune 2000 companies across the globe, Kore.ai helps all of them decide what AI strategy would best benefit their needs. Kore has even made building AI easy through their no-code system, where even I can build, train, and test your AI in a drag-and-drop builder called XO. One of the fastest growing companies in the sector, Kore has chatbots and co-pilots deployed by 100s of partners and thousands of large corporations, who are automating conversations  and streamlining customer and employee experiences. They just closed a $150M investment from FTV Capital and NVIDIA (NVDA). It's not the largest round we've seen, and Kore may not be a familiar name for some of you. But the round is significant for the sector and provides leaders lessons/insights about how to get to this level and what's next. To talk us through the reboot of the generative AI industry, we invited Kore's Founder and CEO, Raj Koneru, to The Reboot Chronicles. A serial CEO and strong/focused leader, who has been at the helm of Kore for the last decade, Raj unpacks how generative AI can revolutionize customer and employee experiences—and more. --- Send in a voice message: https://podcasters.spotify.com/pod/show/rebootchronicles/message

GUEST:Becks Perfect is the Founder of Nifty World, an educational resource on YouTube for both collectors and creators of NFTs and those interested in the wider Web3 space. It is also a future Metaverse Media Consultancy helping Web2 brands launch within Web3. Becks has been a broadcaster for over a decade working in tech, film and entertainment, and she uses her broadcast skills to interview top creators and thought leaders in the space, also providing investment analysis and tutorials to help folks start their journey into Web3. Becks is Co-Founder of The Sidechain, a brand new platform for Web3 and AI education, especially for founders and freelancers. Through courses and downloadable resources as part of The Sidechain community, its aim is to make the next iteration of the internet super simple, easy to understand, and help futureproof businesses for what's next!LISTENER BONUS! See our WEBSITE (linked below) for a $50 DISCOUNT CODE off The Sidechain's “Futureproof Foundations” course.THE EPISODE:Becks Perfect shares why it's time to demystify sensationalised headlines and shed light on the forward momentum of Web3. Companies like Starbucks, Adidas, and Bored Ape Yacht Club are building innovative programs and full-scale businesses, and while current public sentiment around NFTs and crypto may be bearish, she suggests now is the perfect time for solopreneurs and small business owners to position themselves ahead of the pack. Looking at historical patterns of real technological innovation, user expectations, practical implementation, and productivity, Becks refers to the Gartner Hype Cycle and draws parallels between the evolution, growth, and gradual development of Web2 adoption to that of Web3. Facing real world challenges, blockchain and NFT technologies are in a phase of disillusionment, but maturation is happening and Becks suggests, enlightenment is just around the corner. GUEST QUOTE:“The builders of today are the unicorns of tomorrow.”GUEST INFO, LINKS, RESOURCES:Visit our WEBSITE to find guest info, transcripts, links, and resources for today's show.HELP US GROW: Subscribe, review, and connect with From The Blockchain on social!Support the showWANT TO SPONSOR the show? We'd love to hear from you!- INQUIRE HEREHAVE IDEAS for the show? Let us know!- Submission form coming soon.FROM THE BLOCKCHAIN - our links... website youtube NEW! linkedin tiktok instagram threads NEW! twitter HOST - Ashley Smith linkedin tiktok instagram threads twitter Music by: Spottie WiFiPresented by: Fame Lady Squad

In our kickoff to Season 8 of Trending in Ed, host Mike Palmer welcomes Melissa Griffith and Dan Strafford back to the show to discuss the 2023 Gartner Hype Cycle for Emerging Technologies. We reflect on how the hype cycle framework can be applied to understand the trajectory of any new technology or cultural phenomenon. We debate whether the current hype around AI will lead to an "AI winter" as expectations aren't met, or if investment and development will power through any disillusionment based in part on Eric Siegel's HBR article on the topic. We explore how individuals can take advantage of new AI tools for enhanced productivity, while also acknowledging concerns around impacts on human creativity and labor.   For education, we consider how to best teach students ethical, appropriate uses of AI as a supplemental tool rather than a crutch. We emphasize the need for continual learning and adaptability in our current era of rapid technological change. Overall, we share some cautious optimism about riding out the "AI fog" to emerge with productivity-enhancing applications. Don't miss it! Subscribe to Trending in Education wherever you listen to podcasts. Visit us at TrendinginEd.com for more sharp takes on what's emerging in learning and beyond.

On This Week in Tech, Leo Laporte, Ben Parr, Harry McCracken, and Doc Rock discuss Gartner's Hype Cycle Research Methodology and apply it to artificial intelligence. Full episode at http://twit.tv/twit946 Host: Leo Laporte Guests: Ben Parr, Harry McCracken, and Doc Rock You can find more about TWiT and subscribe to our podcasts at https://podcasts.twit.tv/ Sponsor: GO.ACILEARNING.COM/TWIT

On This Week in Tech, Leo Laporte, Ben Parr, Harry McCracken, and Doc Rock discuss Gartner's Hype Cycle Research Methodology and apply it to artificial intelligence. Full episode at http://twit.tv/twit946 Host: Leo Laporte Guests: Ben Parr, Harry McCracken, and Doc Rock You can find more about TWiT and subscribe to our podcasts at https://podcasts.twit.tv/ Sponsor: GO.ACILEARNING.COM/TWIT

After a journey along the 2023 Gartner Hype Cycle™ for Artificial Intelligence, we've reached the final two stages: the Slope of Enlightenment and the Plateau of Productivity. Here, technologies have moved past the initial hype, and organizations are effectively putting them to use.   In this episode, Senior Director Analyst Jim Scheibmeir discusses cloud AI services, many of which are low-code, and their potential to transform industries from manufacturing to finance.  Then, Afraz Jaffri, a Director Analyst who focuses on data and analytics and AI and the editor of this year's AI Hype Cycle, speaks to Gartner's expectations for the future of AI technologies.    Dig Deeper:   Watch Now: Gartner Hype Cycles, Explained bit.ly/3OnZdqJ   Read: What's New in Artificial Intelligence From the 2023 Gartner Hype Cycle https://gtnr.it/3OKAltp   Learn More: Gartner Hype Cycle Research Methodology https://gtnr.it/3Yi74uN  

In this episode of The Stream Life Podcast, Nick Heudecker comes back on the show to talk about the recently released Gartner Hype Cycle for Observability and Monitoring.   Resources What is observability? Hype Cycle for Monitoring and Observability, 2023 If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app.

In the third installment of Behind the Hype, our four-part miniseries about the 2023 Gartner Hype Cycle™ for Artificial Intelligence, we descend into the trough of disillusionment. Contrary to popular belief, technologies that reach this phase of the Hype Cycle are not all ill-advised investments; sometimes, the market is adjusting and finding efficient uses for these technologies.   Afraz Jaffri, a Director Analyst who focuses on data and analytics and AI and the editor of this year's AI Hype Cycle, joins us to clear up common misconceptions about the trough of disillusionment, a place where we find what we thought was possible is not. Then Senior Director Analyst Jonathan Davenport weighs in on the current and future states of autonomous vehicles, which sit in the trough on the 2023 Gartner Hype Cycle for Artificial Intelligence.   Dig Deeper:   Watch Now: Gartner Hype Cycles, Explained bit.ly/3OnZdqJ   Read: What's New in Artificial Intelligence From the 2023 Gartner Hype Cycle https://gtnr.it/3OKAltp   Learn More: Gartner Hype Cycle Research Methodology https://gtnr.it/3Yi74uN  

Our 134th episode with a summary and discussion of last week's big AI news! Apologies for pod being a bit late this week! Read out our text newsletter and comment on the podcast at https://lastweekin.ai/ Email us your questions and feedback at contact@lastweekin.ai Timestamps + links: (00:00) Intro / Banter (02:30) Response to listener comments / corrections Tools & Apps(03:53) ElevenLabs Comes Out of Beta and Releases Eleven Multilingual v2 - a Foundational AI Speech Model for Nearly 30 Languages (07:20) Meet Lilli, our generative AI tool that's a researcher, a time saver, and an inspiration (09:55) Google Tests an A.I. Assistant That Offers Life Advice (11:42) Runway launches new ‘Watch' feature as CEO says Hollywood AI discourse ‘needs to be more nuanced'  (12:45) The AI-powered Adobe Express is now generally available (14:30) Snapchat is expanding further into generative AI with ‘Dreams' (17:35) NCSoft's new AI suite is trained to streamline game production Applications & Business(19:45) Gartner Places Generative AI on the Peak of Inflated Expectations on the 2023 Hype Cycle for Emerging Technologies (28:52) State of AI Q2'23 Report (35:45) China GPT? Tencent to Unleash Homegrown AI as Big Tech Races for Supremacy (38:23) What you need to know about Sakana AI, the new startup from a transformer paper co-author (43:00 )AI startup Anthropic raises $100M from Korean telco giant SK Telecom (45:58) OpenAI acquires AI design studio Global Illumination Projects & Open Source(48:13) Announcing AI2 OLMo, an open language model made by scientists, for scientists (51:50) Introducing IDEFICS : An Open Reproduction of State-of-the-art Visual Langage Model (55:45) Introducing Arthur Bench: The Most Robust Way to Evaluate LLMs Research & Advancements(58:45) Self-Alignment with Instruction BacktranslationAutomatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies (01:07:00) DeepMind's AlphaStar Benchmark Improves RL Offline Agent With 90% Win Rate Against SOTA AlphaStar Supervised Agent (01:12:12) RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models (01:14:16) BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents (01:21:40) Risky Giant Steps Can Solve Optimization Problems Faster Graph of Thoughts: Solving Elaborate Problems with Large Language Models Policy & Safety(01:24:08) China's new AI regulations begin to take effect (01:28:08) The Associated Press sets AI guidelines for journalists (01:30:45) AI Detection Tools Falsely Accuse International Students of Cheating – The Markup Synthetic Media & Art (01:32:08) Inside the AI Porn Marketplace Where Everything and Everyone Is for Sale (01:35:10) AI Botched Their Headshots (01:37:52) Outro

In the second installment of Behind the Hype, our four-part miniseries about the 2023 Gartner Hype Cycle™ for Artificial Intelligence, we climb to the peak of inflated expectations. Here, we discuss the most talked about — and possibly overhyped — technology of the year: generative AI (GenAI).   First, Afraz Jaffri, a Director Analyst who focuses on data and analytics and AI and the editor of this year's AI Hype Cycle, discusses the tell-tale signs that a technology has reached the peak of hype. Then, Frances Karamouzis, Distinguished VP Analyst and Group Chief of Research for IT Leaders, explains that while some companies are already using GenAI to create value, its true potential as a transformative technology remains unrealized. Finally, Global Chief of Research Chris Howard posits that GenAI may already be past the peak of inflated expectations, the result of which is disillusionment among its early adopters.    Dig Deeper:   Watch Now: Gartner Hype Cycles, Explained bit.ly/3OnZdqJ   Read: What's New in Artificial Intelligence from the 2023 Gartner Hype Cycle https://gtnr.it/3OKAltp   Learn More: Gartner Hype Cycle Research Methodology https://gtnr.it/3Yi74uN  

You've probably heard that, in a blind taste test, even experts can't tell between white and red wine. Even if this were true – and it's not – it wouldn't matter. I was in Rome last month, visiting some Raphael paintings to research my next book, and stopped by the Sistine Chapel. I've spent a good amount of time studying what Michelangelo painted on that ceiling. There are lots of high-resolution images on Wikipedia. But seeing a picture is nothing like the experience of seeing the Sistine Chapel. You've invested thousands of dollars and spent fifteen hours on planes. You're jet-lagged and your feet ache from walking 20,000 steps. You're hot. When you enter, guards order you to keep moving, so you won't block the door. They corral you to the center, and you can finally look up. When you hear wine experts can't tell between white and red wine, you imagine the following: Professional sommeliers are blindfolded, and directed to taste two wines. They then make an informed guess which is white, and which is red. In this imaginary scenario, they get it right half the time – as well as if they had flipped a coin. If it were true wine experts couldn't tell between white and red wine, the implication would be that the experience of tasting wine is separate from other aspects of the wine. That the color, the shape of the glass, the bottle, the label, and even the price of the wine are all insignificant. That they all distract from the only thing that matters: the taste of the wine. There's some psychophysiological trigger that gets pulled when you tilt your head back. Maybe it stimulates your pituitary gland. When you have your head back and are taking in the images on the Sistine Chapel ceiling, you feel vulnerable. (You literally are vulnerable. You can't see what's going on around you. You'd be easy to physically attack.) What you see is overwhelming. As you try to focus your attention on some detail, some other portion of the imagery calls out and redirects your attention. This happens again and again. After a while, your neck needs a rest, and you return your gaze to eye-level. And this is almost as cool as the ceiling: You see other people with their heads back, their eyes wide, mouths agape, hands on hearts, tears in eyes. You hear languages and see faces from all over the world. You realize they all, too, have invested thousands of dollars and spent fifteen hours on planes. They, too, are jet-lagged and hot and have walked 20,000 steps. You can look at pictures of the Sistine Chapel ceiling on the internet. You can experience it in VR. In many ways, this is better than going to the Sistine Chapel. You can take as much time as you want, and look as close as you want. You don't have to spend thousands of dollars and fifteen hours on a plane, take time off work, or even crane back your neck. But seeing the Sistine Chapel ceiling on the internet or even VR is only better than seeing it in person, in the way that a spoonful of granulated sugar when you're starving is better than a hypothetical burger in another iteration of the multiverse. We've seen an explosion of AI capabilities in recent months. That has a lot of people worried about what it means to be a creator. Why do we need humans to write, for example, if ChatGPT can write? The reason ChatGPT's writing is impressive is the same reason there's still a place for things created by humans. Anyone old enough to have been on the internet in the heyday of America Online in the 1990s will remember this: When you were in a chat room, most the conversations were about being in a chat room: How long have you been on the internet? Isn't the internet cool? What other chat rooms do you like? Part of the appeal of the question “ASL?” – Age, Sex, Location? – was marveling over the fact you were chatting in real-time with a stranger several states away. Or maybe you remember when Uber or Lyft first came to your town. For the first year or two, likely every conversation you had with a driver was about how long they had been driving, about how quickly the service had grown in your town, which is better – Uber or Lyft?, or which nearby cities got which services first. The first few months ChatGPT was out, it was seemingly the only thing anyone on the internet talked about. But it wasn't because ChatGPT's writing was amazing. ChatGPT is a bad writer's idea of a good writer. It was because of the story: Wow, my computer is writing! Now that much of the novelty of ChatGPT has worn off, many of us are falling into the Trough of Disillusionment on the Gartner Hype Cycle. We're realizing ChatGPT is like a talking dog: It's impressive the dog can appear to talk, but it's not talking – it's just saying the words it's been taught. ChatGPT is very useful in some situations, but not as many as we had originally hoped. What made us talk about the internet while on the internet, talk about Uber while in Ubers, and talk about ChatGPT while chatting with ChatGPT was the story. Once the story behind the internet or Uber wore off, we started to appreciate them for their own utility. Part of what's cool about seeing the Sistine Chapel ceiling in VR is that – we're seeing it in VR. But even if that weren't impressive, what would still be impressive about the paintings would be more than just that they're amazing paintings. It's incredible to us a human could paint such a massive expanse. We think about the stories and myths of Michelangelo, up on that scaffolding, painting in isolation. Part of our appreciation of the Sistine Chapel ceiling lies outside the ceiling itself. While marveling at it, we can't help but think of Michelangelo's other masterpieces, such as the David or the Pietà. Lloyd Richards spent fourteen years writing Stone Maidens, and had almost no sales for decades. Suddenly, he sold 65,000 copies in a month. He was interviewed on the TODAY show, and got a book deal with a major publisher. How did he do it? His daughter made a TikTok account. The first video showed Lloyd at his desk, and explained what a good dad he was, how hard he had worked on Stone Maidens, and how great it would be if he made some sales. Then the #BookTok community did the rest. Stone Maidens is apparently a good book. But it's no better today than it was all those years it didn't sell. Most the comments on Lloyd's TikTok account – which now has over 400,000 followers – aren't about what a great book Stone Maidens is. They're about how Lloyd seems like such a nice guy, or how excited each commenter is to have contributed to his success. The study that started the myth that wine experts can't taste the difference between white and red wine didn't show that. The participants in the study literally weren't allowed to describe the two wines the same way – they couldn't use the same word for one as the other. It wasn't blindfolded – it was a white wine versus the same wine, dyed red. The study wasn't about taste at all: Participants weren't allowed to taste the wine – they were only allowed to smell. And wine experts? That depends on your definition of “expert”. They were undergraduate students, studying wine. They knew more than most of us, but were far from the top echelon of wine professionals. Most damning for this myth was that the same study casually mentions doing an informal blind test: The success rate of their participants in distinguishing the taste of white versus red wine: 70%. That this myth is false shouldn't detract from the point that even if it were true, it wouldn't matter. What the authors of this study found was not that wine enthusiasts couldn't tell between white and red wine, but that the appearance of a wine as white or red shaped their perceptions of the smell of the wine. Once you bake a cake, you can't turn it back into flour, sugar, butter, and eggs. You can't extract the taste of a wine from the color, the bottle, your mental image of where the grapes were grown and how the wine was made, or even the occasion for which you bought the wine. Something made by an AI can be awesome, either because it's really good at doing what it's supposed to, or because you appreciate it was made by an AI. Something made by a human is often awesome because of the story of the human who made it, and the story you as a human live as you interact with it. If you want to be relevant in the age of AI, learn how to bake your story into the product. Because AI can't bake. Image: Figures on a Beach by Louis Marcoussis About Your Host, David Kadavy David Kadavy is author of Mind Management, Not Time Management, The Heart to Start and Design for Hackers. Through the Love Your Work podcast, his Love Mondays newsletter, and self-publishing coaching David helps you make it as a creative. Follow David on: Twitter Instagram Facebook YouTube Subscribe to Love Your Work Apple Podcasts Overcast Spotify Stitcher YouTube RSS Email New bonus content on Patreon! I've been adding lots of new content to Patreon. Join the Patreon »       Show notes: https://kadavy.net/blog/posts/ai-cant-bake/

In today's episode, Jason is joined by Qiao Wang, Partner at Alliance DAO. They start today's episode by sentiment checking the market, reflecting on the current building landscape, and the types of founders and projects currently raising funds. They wrap up the show by diving into the intersection of Crypto & AI, decentralizing AI, and consumer crypto AI products.  - - Follow Qiao Wang: https://twitter.com/QwQiao Follow Jason: https://twitter.com/JasonYanowitz Follow Empire: https://twitter.com/theempirepod Subscribe on YouTube: https://tinyurl.com/4fdhhb2j Subscribe on Apple: https://tinyurl.com/mv4frfv7 Subscribe on Spotify: https://tinyurl.com/wbaypprw Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/  - - This episode is brought to you by Carbon.  Carbon is a new DEX on Ethereum that makes concentrated liquidity easy. LPs can automate their liquidity strategy with custom on-chain limit and range orders: all from a beautiful UI. Check out Carbon today at https://www.carbondefi.xyz/.  - - Use code EMPIRE30 to get 30% off Permissionless 2023 in Austin: https://blockworks.co/event/permissionless-2023 - - Timestamps: (00:00) Bear Market Sentiment Check (08:23) The Stages of a Bear Market (13:19) What Buildoors are Building (18:50) What Layer has the Buildoors? (21:55) Types of Founders (29:44) Characteristics of a Successful Founder (33:47) Where Web3 Innovation is (37:03) Permissionless ad (38:28) Carbon ad (39:47) Is AI on the Gartner Hype Cycle? (43:07) The Intersection of AI (50:06) Decentralizing AI (59:41) Is There a Crypto Element for AI? (01:05:43) Consumer Crypto & AI Products - - Resources Alliance DAO https://twitter.com/alliancedao  - - Disclaimer: Nothing said on Empire is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Santiago, Jason, and our guests may hold positions in the companies, funds, or projects discussed.

Welcome to the next episode of our monthly round table podcast where hosts Scott Simmons, Katie Hinsen & Michael Kammes talk about the latest news in production, post production, entertainment tech and beyond. Among the conversations this week the gang discuss the Writer's Strike, The Gartner Hype Cycle, the Metaverse and whole bunch of really cool things that will help us all in our post production endeavors.  Enjoy the episode and don't forget to subscribe. News: https://www.apple.com/final-cut-pro-for-ipad/ https://www.provideocoalition.com/final-cut-pro-for-the-ipad/ https://www.cnn.com/2023/05/01/tech/geoffrey-hinton-leaves-google-ai-fears/index.html https://techcrunch.com/2023/05/10/google-partners-with-adobe-to-bring-art-generation-to-bard/ https://www.today.com/food/trends/ai-generated-beer-commercial-viral-rcna82955https://www.tomshardware.com/news/ai-pizza-commercial https://www.provideocoalition.com/lets-talk-about-subscriptions/ https://techcrunch.com/2023/05/10/google-partners-with-adobe-to-bring-art-generation-to-bard/ https://thoughtful.withgoogle.com/about Writers Strike: https://www.themarysue.com/writers-strike-all-tv-shows-and-movies-affected-by-studios-refusing-to-pay-writers/ https://deadline.com/2023/05/tom-hanks-wga-strike-comments-gayle-king-1235360664/ https://apnews.com/article/wga-writers-strike-demands-d403f5b4666f20e2ce3e379bcaef5f2a Metaverse: https://www.businessinsider.com/metaverse-dead-obituary-facebook-mark-zuckerberg-tech-fad-ai-chatgpt-2023-5 https://www.thestreet.com/technology/mark-zuckerberg-quietly-buries-the-metaverse The Gartner Hype Cycle: https://en.wikipedia.org/wiki/Gartner_hype_cycle https://www.techtarget.com/whatis/definition/Gartner-hype-cycle One cool thing: Katie: https://www.writewithlaika.com/ Michael: https://github.com/oobabooga/text-generation-webui, underscoring the tipping point of localized models for AI Scott: https://commandpost.io Title: “The thing before the thing” --- Support this podcast: https://podcasters.spotify.com/pod/show/artofthecut/support

Data enablement has the power to transform American Healthcare. It can foster trust between patients and clinicians and make healthcare more accessible, affordable and equitable. This future of an open and connected health ecosystem may seem elusive, but it's not out of reach. Technology will not hold us back — instead our biggest challenge will be creating a value-based model of care where new innovations can thrive.   This week we our joined by Dr. David Feinberg, the Chairman of Oracle Health. Dr. Feinberg is committed to advancing thought leadership and strategy related to unleashing the healing power of data through an open and connected healthcare ecosystem.  Previously Dr. Feinberg served as president and CEO of Cerner, now Oracle Health, where he led teams delivering tools and technology to improve the patient and caregiver experience. He has also served as the VP of Google Health, and he served as the President and CEO of Geisinger where he led a complex turnaround and guided Geisinger's transition to value-based care.  Episode Bookmarks: 01:30 Introduction to Dr. David Feinberg, Chairman of Oracle Health. 02:45 The massive generation of data by humankind in the modern day (projected to be 175 Zettabytes by 2025). 03:45 Approximately 80% of healthcare data today is unstructured. 04:30 People are dying unnecessarily and suffering poor outcomes despite the amount of data generated by the healthcare system. 05:30 "Healthcare fundamentally is people caring for people. Data is secondary; the primary aspect of healthcare is trust.” 06:30 Making Electronic Health Records usable is of paramount importance (PCPs Need 27 Hours a Day to Do Their Best Work!) 07:00 Digitizing the medical record has made clinical workflows humanly impossible and compromises trust. 07:30 The vision for an open and connected health data ecosystem. 08:45 The Meaningful Use program did nothing for EHR usability (an example of the Gartner Hype Cycle). 10:00 Dr. Feinberg's clinical and executive leadership background provided a great lesson in technology adoption. 11:00 Can there be a high level of technology adoption in healthcare like Google dominates the non-healthcare marketplace? 12:30 We have solved for interoperability, but healthcare lacks a level of usability to allow a true longitudinal health record. 14:00 Motivating doctors for high performance ultimately comes down to the data scorecard. 15:00 Knowing the game (volume vs. value) and the promise of data enablement in value-based care. 16:00 The 21st Century Cures Act and the path forward in interoperability. 17:00 Can scalable FHIR-based interoperability and Open APIs eventually reach critical mass in the U.S. to improve population health? 19:45 Dr. Feinberg describes the two points of failure by technology companies trying to disrupt the healthcare ecosystem. 20:30 How Oracle Cerner is designing an intelligent, cloud-enabled platform to change healthcare for the better. 22:00 An example of disruption with Internet Banking and how application of those principles could change the healthcare system. 23:45 Digitization of medical records was a requisite first step. 24:00 Integration and normalization of disparate data sets provides an opportunity to create data intelligence. 25:00 How Larry Ellison's impatience for healthcare disruption clashes with the realities of the industry. 26:30 Recognizing the "life and death" aspects of healthcare transformation. 27:00 Making incremental progress with a digitized medical record…and then COVID happens to accelerate value-based care! 29:00 Workforce burnout and EHR usability - “Simplicity is the ultimate art of sophistication.” 30:00 “Value-based care is ultimately the best way to address the root cause of burnout in the workforce.” 30:45 The need for UX in the design of EHR applications to optimize physician workflow. 31:30 Results in usability redesign — ex: 19% reduction in nursing time at the terminal,

This episode discusses the plant-based food industry's evolution and future prospects, following the Gartner Hype Cycle. Despite a disillusionment phase, consumer demand remains strong, with plant-based food sales growing in 2022. To ensure continued growth, we need to focus on three pillars: Innovation (addressing nutritional concerns and offering global flavors), Accessibility (emphasizing foodservice and prepared frozen meals), and Sustainability (commitment to sustainable sourcing and regenerative agriculture practices). Alongside these pillars, changing public perceptions and raising awareness of the health and environmental benefits of plant-based food is crucial for the industry's ongoing growth. Learn more about your ad choices. Visit megaphone.fm/adchoices

Alan hosts Mike Ramsey, Vice President and Analyst, Automotive and Smart Mobility at Gartner Inc. in the lastest episode of Truck Tech.Follow the Truck Tech PodcastOther FreightWaves Shows

It's time once again to revisit the hype cycle and figure out where along the path we might find Web3. And what is Web3? And what the heck is it supposed to do and how is it supposed to work? And why is Jonathan skeptical about the whole thing?See omnystudio.com/listener for privacy information.

The first cleantech bubble burst in the oughts, but the industry didn't go away. And now, we've entered a second big wave of "climatetech" investment. So, is this wave more promising than the first? Are we moving into a golden age for climatetech? Or is it too dissimilar to make comparisons? Joel Makower is Cofounder and Chairman of GreenBiz, a leading media and events company at the intersection of business, sustainability, and innovation. He also serves as cohost of the GreenBiz 350 Podcast. On this episode of Reversing Climate Change, Joel joins Ross to discuss how climatetech may have followed the Gartner Hype Cycle and describe what factors caused the first cleantech bubble to burst. Joel explains why corporations are much more involved in Cleantech 2.0 and explores the ongoing politicization of climate change, despite the efforts of some (like the military) to prepare for a climate crisis. Listen in for Joel's insight on the near future of climatetech and learn about the extraordinary opportunity he believes we have to reinvent our world in a way that will benefit everyone. Connect with Nori Purchase Nori Carbon Removals Nori's website Nori on Twitter Join Nori's Discord to hang out with other fans of the podcast and Nori Check out our other podcast, Carbon Removal Newsroom Carbon Removal Memes on Twitter Carbon Removal Memes on Instagram Resources GreenBiz GreenBiz Events GreenBiz Newsletters GreenBiz 350 Podcast Clean Edge Solyndra Collapse Gartner Hype Cycle Inflation Reduction Act Tesla The Greatest Hoax: How the Global Warming Conspiracy Threatens Your Future by Senator James Inhofe CHIPS for America Act Infrastructure Investment and Jobs Act COP 27 --- Send in a voice message: https://anchor.fm/reversingclimatechange/message Support this podcast: https://anchor.fm/reversingclimatechange/support

If you'd like to make money in the NFT space, you'll have to sell them eventually.>>NFT purchases can 10x or even 100x in value! So why wouldn't you want to cash in on that kind of growth?