Podcasts about Magic Quadrant

ABOUT JON HYMANJon Hyman is the co-founder and chief technology officer of Braze, the customer engagement platform that delivers messaging experiences across push, email, in-app, and more. He leads the charge for building the platform's technical systems and infrastructure as well as overseeing the company's technical operations and engineering team.Prior to Braze, Jon served as lead engineer for the Core Technology group at Bridgewater Associates, the world's largest hedge fund. There, he managed a team that maintained 80+ software assets and was responsible for the security and stability of critical trading systems. Jon met cofounder Bill Magnuson during his time at Bridgewater, and together they won the 2011 TechCrunch Disrupt Hackathon. Jon is a recipient of the SmartCEO Executive Management Award in the CIO/CTO Category for New York. Jon holds a B.A. from Harvard University in Computer Science.ABOUT BRAZEBraze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty. The company has been recognized as a 2024 U.S. News & World Report Best Companies to Work For, 2024 Best Small & Medium Workplaces in Europe by Great Place to Work®, 2024 Fortune Best Workplaces for Women™ by Great Place to Work® and was named a Leader by Gartner® in the 2024 Magic Quadrant™ for Multichannel Marketing Hubs and a Strong Performer in The Forrester Wave™: Email Marketing Service Providers, Q3 2024.  Braze is headquartered in New York with 15 offices across North America, Europe, and APAC. Learn more at braze.com.SHOW NOTES:What Jon learned from being the only person on call for his company's first four years (2:56)Knowing when it's time to get help managing your servers, ops, scaling, etc. (5:42)Establishing areas of product ownership & other scaling lessons from the early days (9:25)Frameworks for conversations on splitting of products across teams (12:00)The challenges, complexities & strategies behind assigning ownership in the early days (14:40)Founding Braze (18:01)Why Braze? The story & insights behind the original vision for Braze (20:08)Identifying Braze's product market fit (22:34)Early-stage PMF challenges faced by Jon & his co-founders (25:40)Pivoting to focus on enterprise customers (27:48)“Let's integrate the SDK right now” - founder-led sales ideas to validate your product (29:22)Behind the decision to hire a chief revenue officer for the first time (34:02)The evolution of enterprise & its impact on Braze's product offering (36:42)Growing out of your early-stage failure modes (39:00)Why it's important to make personnel decisions quickly (41:22)Setting & maintaining a vision pre IPO vs. post IPO (44:21)Jon's next leadership evolution & growth areas he is focusing on (49:50)Rapid fire questions (52:53)LINKS AND RESOURCESWhen We Cease to Understand the World - Benjamín Labatut's fictional examination of the lives of real-life scientists and thinkers whose discoveries resulted in moral consequences beyond their imagining. At a breakneck pace and with a wealth of disturbing detail, Labatut uses the imaginative resources of fiction to tell the stories of Fritz Haber, Alexander Grothendieck, Werner Heisenberg, and Erwin Schrödinger, the scientists and mathematicians who expanded our notions of the possible.This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

Episode OverviewIn Episode 70 of CDO Matters, Malcolm Hawker explores the future of MDM as AI, cloud migrations, and unstructured data reshape the field. Covering market trends, AI's role, ROI challenges, and vendor shifts, he shares insights from the latest Magic Quadrant for MDM Solutions to help data leaders refine their 2025 strategy. Tune in for expert guidance on navigating the evolving MDM landscape.Episode Links and ResourcesFollow Malcolm Hawker on LinkedIn

How is Qlik transforming the way ISVs deliver advanced analytics and AI? I hosted Rosagrazia Bombini, VP and MD at Qlik, on The Ravit Show at AWS re:Invent, where we discussed how Qlik is empowering ISVs to push the boundaries of analytics and AI in their solutions. Key highlights from our conversation: -- How Qlik enables ISVs to go beyond traditional dashboards, embedding advanced AI and analytics into their offerings -- The impact Qlik has had on ISVs like Insurity and Penske, showcasing success stories that underline their innovative approach -- How Qlik's multitenant platform addresses scalability and security challenges for ISVs managing high data volumes and user growth -- The role of Qlik's partnership with AWS in enhancing support and scalability for ISVs -- How Qlik's legacy, recognized by Gartner's Magic Quadrant for Data Analytics and BI, influences ISVs to choose Qlik as a trusted partner This conversation was a testament to how Qlik's forward-thinking solutions are empowering ISVs to scale and innovate. #data #ai #awsreinvent #awsreinvent2024 #reinvent2024 #qlik #theravitshow

In this episode of Commerce Talks, Lina meets with the two founders of Spryker and discusses the company's unique approach to addressing complex e-commerce needs beyond B2C retail, the company's composable architecture, and the importance of innovation. We also discuss that Spryker has been recognized by Gartner® as a Leader in the 2024 Magic Quadrant™ for Digital Commerce. Learn more or review the report here. Disclaimer:Objectivity DisclaimerGartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.References:*Gartner, Critical Capabilities for Digital Commerce,Aditya Vasudevan, Sandy Shen, Jason Daigler, Mike Lowndes, 11 November 2024.*Gartner, Magic Quadrant for Digital Commerce, By Mike Lowndes, Sandy Shen, Jason Daigler,Aditya Vasudevan, Ant Duffin, 6 November 2024GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.)

This week, we discuss the relationship between DevOps and Platform Engineering, Gartner's take on Distributed Hybrid Infrastructure, and Nvidia's search for new use cases. Plus, a listener chimes in to clear up some Podman misconceptions. Watch the YouTube Live Recording of Episode (https://www.youtube.com/watch?v=DyjB-jmL0QQ) 495 (https://www.youtube.com/watch?v=DyjB-jmL0QQ) Runner-up Titles Prove me wrong AWS, prove me wrong Please turn off the lights Who's googling for “shift left”? I realized what they were talking about, it's computers They're talking but you're not listening Piling on the dead horse We gave this guy $5 billion dollars, check him out Podman is Pepsi Nobody's paying for that Niche Player Rundown Platform Engineering Is The New DevOps (https://www.forbes.com/sites/justinwarren/2024/11/21/platform-engineering-is-the-new-devops/) SRE Books (https://sre.google/books/) Magic Quadrant for Distributed Hybrid Infrastructure (https://www.gartner.com/doc/reprints?id=1-2J0PN9ZJ&ct=241007&st=sb&trk=0da8abef-e59d-40d4-b66b-ba96c755768b&sc_channel=el) AWS named as a leader again in the Gartner Magic Quadrant for Distributed Hybrid Infrastructure (https://aws.amazon.com/blogs/aws/aws-named-as-a-leader-again-in-the-gartner-magic-quadrant-for-distributed-hybrid-infrastructure/) Nvidia AI Easts the World — Benedict Evans (https://www.ben-evans.com/presentations) Nvidia revenue almost doubles on the year even as growth slows from previous quarter (https://on.ft.com/3Vpw2Z1) Nvidia's Huang Spreads the Gospel of AI in Search of More Customers (https://www.bloomberg.com/news/newsletters/2024-11-21/nvidia-s-huang-spreads-the-gospel-of-ai-in-search-of-more-customers?srnd=undefined) Amazon Updates Homegrown Chips, Even as It Grows Nvidia Ties (https://links.message.bloomberg.com/a/click?_t=f574328d4d0c4c359b90d8e49b10e21d&_m=e253c47d1776426cada2b989eb51ef3d&_e=BISdgjckKJ39RYZ5axUkOu4DkhEzj_0CzmZEdaLS3niAwih7Lch-yccqByy-SKSB_PawXlFTeOpypVo4aikKnrEHKgvZ1v2TyAeErFN65ZsdRhzpsl63CY7Ia4-4Y_AmaM8n0A6iEaAPInfkiRKNT3xf8OE6NLeC4L7EavGfLanwRXXmv773517sL7d2HT-Rcewoj4Ilv2S4WBW0l3E797KSeKHwZmNv3h9g8B7rUMFKXg8gnlDDRuYjGkBMn8m9-4yP3laYhYAwEeaW3arWkc1bzZFYO_N0fzB31aRoEEvMjvCyXvrv-fg1yhLbDHFZFK5xDr2cgqT8uxPoHajG8qPT7nzRt_56WNcg30HnKZ2OwDxnLJkIDzw47BuHXtk-BMsx5WG7Gn51NdUiPqUTAV5YHattNV9B5gmGwXtVZubp-eOJfFuCVKrLgVwrMLLqGMLEFhgI00D0RHwpXFbHDg%3D%3D) Nvidia Earnings, Strawberry and Video, The Networking Question (https://stratechery.com/2024/nvidia-earnings-strawberry-and-video-the-networking-question/) Podman: Podman in Action | Red Hat Developer (https://developers.redhat.com/e-books/podman-action) Kubernetes Podcast from Google: Episode 164 - Podman, with Daniel Walsh and Brent Baude (https://kubernetespodcast.com/episode/164-podman/) DevOps and Docker Talk: Cloud Native Interviews and Tooling | Podman In Action: Desktop, Machine, and more (https://podcast.bretfisher.com/episodes/podman-in-action-desktop-machine-and-more) Relevant to your Interests Microsoft Ignite 2024: Everything Revealed in 15 Minutes (https://www.youtube.com/watch?v=_4qsQ6OWZsM) Microsoft Ignite 2024: all the news from Microsoft's IT pro event (https://www.theverge.com/2024/11/19/24300001/microsoft-ignite-2024-news-ai-announcements-copilot-windows-azure-office) AWS Lambda turns ten – looking back and looking ahead | Amazon Web Services (https://aws.amazon.com/blogs/aws/aws-lambda-turns-ten-the-first-decade-of-serverless-innovation/) Kyndryl insiders claim new business is scarce (https://www.theregister.com/2024/11/20/kyndryl_little_new_business/) Snowflake snaps up data management company Datavolo (https://techcrunch.com/2024/11/20/snowflake-snaps-up-data-management-company-datavolo/) Northflank raises $22M to make Kubernetes work for your developers (https://northflank.com/blog/northflank-raises-22m-to-make-kubernetes-work-for-your-developers-ship-workloads-not-infrastructure) Overcast adds new listening stats and 48-hour undo features (https://9to5mac.com/2024/11/20/overcast-listening-history-undo-features/) Reddit was down — latest updates on major outage (https://www.tomsguide.com/news/live/reddit-down-live-updates-on-outage) Wiz acquires Dazz for $450M to expand its cybersecurity platform (https://techcrunch.com/2024/11/21/wiz-acquires-dazz-for-450m-to-expand-its-cybersecurity-platform/) Comcast is spinning off its cable TV business (https://www.theverge.com/2024/11/20/24301310/comcast-spinning-off-nbcuniversal-cable-tv-business) Snowflake's shares surge higher on blowout earnings, (https://t.co/alQ7p57V3y) Clouded Judgement 11.22.24 - Is Software Back? (https://cloudedjudgement.substack.com/p/clouded-judgement-112224-is-software?utm_source=post-email-title&publication_id=56878&post_id=151992794&utm_campaign=email-post-title&isFreemail=true&r=2l9&triedRedirect=true&utm_medium=email) WordPress.com owner Automattic snaps up grammar checker Harper (https://techcrunch.com/2024/11/21/wordpress-com-owner-automattic-snaps-up-grammar-checker-harper/) DHH Wants To Make Web Dev Easy Again, With Ruby on Rails (https://thenewstack.io/dhh-wants-to-make-web-dev-easy-again-with-ruby-on-rails/) Dear friend, you have built a Kubernetes (https://www.macchaffee.com/blog/2024/you-have-built-a-kubernetes/) Kamal 2.0 Released (https://dev.37signals.com/kamal-2/) 'I have no money': Thousands of Americans see their savings vanish in Synapse fintech crisis (https://www.cnbc.com/2024/11/22/synapse-bankruptcy-thousands-of-americans-see-their-savings-vanish.html) Pentagon audit highlights woeful ERP systems (https://www.thestack.technology/pentagon-audit-it-systems-erp/) Delivering 4K Video with Cloudflare R2 for $2.18 (https://screencasting.com/cheap-video-hosting) First Google Axion Processor Now Available: Claims Best Performance in Cloud Market (https://www.infoq.com/news/2024/11/google-axion-c4a/) Glassdoor Worklife Trends 2025 - Glassdoor US (https://www.glassdoor.com/blog/worklife-trends-2025/) Nonsense It looks like Backstage is working out. (https://www.threads.net/@derickevolved/post/DCmyJeYyWF3?xmt=AQGzEuuVG27rxo-L0IWbIfrdALmECac-SYLR2VaYkspHDw) European Showers (https://www.threads.net/@_yes_but/post/DCmOuqpyX-l?xmt=AQGzhm-KIrpChsW3eMGrDrVwzbijNEoRkz01Iin63gnOoQ) KFC's latest partnership is with Build-A-Bear Workshop (https://www.nrn.com/quick-service/kfc-s-latest-partnership-build-bear-workshop) Australia/Lord_Howe is the weirdest timezone | SSOReady (https://ssoready.com/blog/engineering/truths-programmers-timezones/) Listener Feedback Andrew created the Multiple Tab to PDF Printer (https://chromewebstore.google.com/detail/multiple-tab-to-pdf-print/anlocohdegpcbalhdigpjemapejhephi) Conferences CfgMgmtCamp (https://cfgmgmtcamp.org/ghent2025/), February 2-5, 2025. 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 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: Cursor (https://www.cursor.com/) Matt: iPhone Mirroring in macOS (https://www.google.com/search?client=safari&rls=en&q=iPhone+Mirroring+in+macOS+15&ie=UTF-8&oe=UTF-8) (https://www.google.com/search?client=safari&rls=en&q=iPhone+Mirroring+in+macOS+15&ie=UTF-8&oe=UTF-8)15 (https://www.google.com/search?client=safari&rls=en&q=iPhone+Mirroring+in+macOS+15&ie=UTF-8&oe=UTF-8) Coté: Insta360 Flow Pro gimbal (https://amzn.to/4g7t9UA) Photo Credits Header (https://unsplash.com/photos/clear-light-bulb-lot-PIrOQrqewLE) Artwork (https://unsplash.com/s/photos/grade-evaluation) Web 2.0 2FA Life Hacks (https://www.troyhunt.com/beyond-passwords-2fa-u2f-and-google-advanced-protection/)

DevOps platforms provide an integrated alternative to custom toolchains, offering organizations an optimized and cohesive set of capabilities. Gartner's latest Magic Quadrant on DevOps Platform offers insights on the past, present and potential future of these platforms.Keith Mann is a senior director in Gartner, covering software engineering strategy and practices. Keith came to Gartner after a long background in development and enterprise architecture, and is one of the authors of the Magic Quadrant for DevOps Platforms.

Join us as we dive into the latest Ticket Volume - IT podcast episode with the insightful Kenneth "Kengon" Gonzalez! This time, Kenneth, a former Gartner analyst and industry advisor, shares why focusing on organizational capabilities (not just tools!) is the future of IT Service Management and business growth. If you've ever wondered if ITSM is dead, or why Gartner retired its famous Magic Quadrant, this is for you! Get ready for some bold perspectives and a reimagined approach to customer success and organizational improvement. Here's a quick sneak peek: 1. Why ITSM tools are losing their edge. 2. The power of organizational capabilities for real impact. 3. Moving from SLAs to XLAs for customer experience that matters. 4. Why maturity models might be holding you back. 5. The surprising reason Gartner retired the Magic Quadrant. Don't miss out on this refreshing look at ITSM and organizational evolution with Kenneth Gonzalez!

SAP offers a quote-to-cash Software-as-a-Service solution for which it has recently been named leader by Gartner in their Magic Quadrant for Recurring Billing Solutions. Join us in this episode of the Inside SAP S/4HANA Cloud podcast as we delve into the world of subscription-based business models and how SAP is at the forefront of providing end-to-end quote-to-cash solutions. We will explore the challenges and opportunities that companies, especially in the SaaS industry, face when dealing with subscription management. Greg Hutcheon interviews our experts from SAP, Isabel Reingruber and David Eastlund, as well as John Froelich from the SAP partner Bramasol. They share their insights, experiences, and successful use cases.

Sales leaders prioritize meeting buyer expectations but often fail to account for the underlying element affecting most major purchases: emotions. In this episode, hosts Billy Luckey and Betsy Gregory-Hosler sit down with Gartner experts to discuss the B2B buyer experience, how buyers balance logic and emotion and what sales leaders can do about it.Alexandra Bellis, who has a doctorate in psychology, is a director of quantitative analytics and data science for Gartner for Marketers. She is responsible for survey data collection and analysis across a wide range of marketing and communications research, including marketing data and analytics, talent and collaboration, B2B buying behaviors, and communications leadership and strategy.Rick LaFond is a senior director analyst for Gartner for Marketers, based in Baltimore. He leads Gartner's B2B customer acquisition and account growth research. As an analyst, he supports Gartner clients with insights and guidance on various marketing topics, including demand generation, digital marketing strategy, sales enablement, content marketing and account-based marketing. He is the lead analyst for Gartner research on marketing best practices in the manufacturing industry, as well as ongoing primary research studies on cross-industry B2B buying behaviors. Rick also serves as lead author for Gartner's Magic Quadrant for B2B Marketing Automation Platforms.

In this episode of CISO Tradecraft, host G Mark Hardy delves into the intricate world of Identity and Access Management (IAM). Learn the essentials and best practices of IAM, including user registration, identity proofing, directory services, identity federation, credential issuance, and much more. Stay informed about the latest trends like proximity-based MFA and behavioral biometrics. Understand the importance of effective IAM implementation for safeguarding sensitive data, compliance, and operational efficiency. Plus, hear real-world examples and practical advice on improving your IAM strategy for a secure digital landscape. Transcripts: https://docs.google.com/document/d/15zUupqhCQz9llwy21GW5cam8qXgK80JB Chapters 00:00 Introduction to CISO Tradecraft 01:24 Understanding Identity and Access Management (IAM) 01:54 Gartner's Magic Quadrant and IAM Vendors 03:29 The Importance of IAM in Enterprises 04:28 User Registration and Verification 06:48 Password Policies and Best Practices 09:53 Identity Proofing Techniques 14:53 Directory Services and Role Management 18:27 Identity Federation and Credential Issuance 22:22 Profile and Role Management 26:17 Identity Lifecycle Management 29:23 Access Management Essentials 35:05 Review and Conclusion

Join us for a discussion with Anne Lapkin, a former Gartner analyst, as we explore the latest Gartner Magic Quadrant for Analytics & Business Intelligence Platforms and the newly released Critical Capabilities report. Together, we'll guide you on how to interpret these documents to gain insights into the market performance of various platforms. Additionally, we'll share predictions on the future of BI and analytics.

In this Mr. Beacon Podcast episode, Wyatt Meek, CCO of AiRISTA, discusses the company's innovations in real-time location systems (RTLS) and IoT. He explains AiRISTA's multi-technology approach using Bluetooth, Wi-Fi, RFID, and GPS, and their recognition in Gartner's Magic Quadrant. Wyatt shares industry use cases in manufacturing and healthcare, highlights a consultative sales approach, and discusses his career journey. The episode concludes with his vision for the future of RTLS and IoT.Wyatt's Favorite Songs:“Fight for Your Right” by the Beastie Boys: https://www.youtube.com/watch?v=ClLCqZin9HY“Hail Purdue” by Purdue University: https://www.youtube.com/watch?v=DKDU1Ta3nOQ“The Luckiest” by Ben Folds: https://www.youtube.com/watch?v=f9bRmuP-kQY Hosted on Acast. See acast.com/privacy for more information.

Feat. Aaron SheehanIn this rewind episode, we discuss a key topic: the analyst ecosystem and the influence of reports like Gartner's Magic Quadrant on the eCommerce industry. We explore how these reports are created, who they benefit, and their role in shaping market perceptions. Aaron sheds light on the complexities behind the rankings, the criteria used, and the nuances often overlooked in the widely shared 2x2 graphics. Whether you're a seasoned industry professional or new to the world of eCommerce, tune into this conversation of how market analysis shapes strategic decisions and what it means for the future of commerce!"Insights from the eCommerce Battlefield"Key takeaways:Analyst reports like Gartner's Magic Quadrant use specific methodologies to evaluate platforms, focusing on business viability and innovation, not just the technology stack.Engaging with analysts can be crucial for eCommerce platforms, but it's not mandatory. Those who opt out may still be evaluated based on publicly available data, which could impact their positioning.Platforms can fall off these reports not only by going out of business but also by de-emphasizing certain product lines or failing to grow in line with market expectations.[00:10:06] "It's not pay-to-play. The analysts have a methodology around evaluating solutions... It's about the business, not just the technology." - Aaron Sheehan[00:29:52] "Why wouldn't you just build the things that are required to perform well on the platform... What are the forces that keep you from performing really well?"  - Phillip[01:06:52] "It's one thing to have a well-built eCommerce platform. It's another thing to be successful with it, which is like getting people to that platform to buy." - Phillip[01:10:15] "The Magic Quadrant isn't just a chart—it's a signal to the market about who's driving innovation and who's falling behind."  - Aaron SheehanAssociated Links:Check out Future Commerce on YouTubeCheck out Future Commerce+ for exclusive content and save on merch and printSubscribe to Insiders and The Senses to read more about what we are witnessing in the commerce worldListen to our other episodes of Future CommerceHave any questions or comments about the show? Let us know on futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners!

Jim's longtime colleague and friend, Rick Greenwald, joins the podcast to discuss the ins and outs of the famous Magic Quadrant. The episode provides an in-depth look at the complexities of Gartner's evaluation process and offers practical advice for companies aiming to improve their market positioning and strategy.  Plus, we've known each other since at least 1990, so lots of conversational detours.

As June draws to a close, co-hosts Emily Wearmouth and Max Havey zoom out a bit to reflect on some of the most interesting episodes of 2024, the trends that are piquing their interest, and peak at what they're hoping to cover in the rest of the year to come. This episode is great, particularly if you're a new listener looking for a place to start. Some of the episodes covered include:How to Use a Magic Quadrant and Other Industry Research (with Steve Riley & Mona Faulkner)Changing Perceptions of Risk Appetite (with David Fairman & Jack Freund)Personal Resilience in Cyber (with Shanon Jurkovic and Samm Macleod)Young Voices on Diversity in Cyber (with Jacklyne Mbuthia, Sam Van Stockrom, and Ally Frame)Elections, Disinformation, and Security (with Shamla Naidoo)Zero Trust: It's More Than Just Identity (with John Kindervag & Neil Thacker)The Intersection of Zero Trust and National Security (with Chase Cunningham)

Join Izabela Lundberg as she unveils the Magic Quadrant of the Legacy Leaders Institute on the Legacy Leaders Show! Discover how the four pillars of Impact, Influence, Innovation, and Inspiration drive exceptional leadership and contribute to creating a lasting legacy and generating significant income growth.With insights drawn from working with leaders across 120+ countries and traveling to over 70, Izabela shares practical strategies and visionary ideas that can transform your leadership approach and legacy.Learn how to build a legacy that stands the test of time, inspiring and influencing future generations while driving innovation and impact in your organization.Buckle Up, Champions!

In this episode, hosts Jim McDonald and Jeff Steadman welcome Henrique Teixeira, Senior Vice President of Strategy at Saviynt. Henrique shares his journey into the identity field and reveals how he became a leading figure in digital identity. He discusses his time at Gartner, where he shared his expertise as the conference chair of the IAM summit and created identity scopes such as Cloud Infrastructure & Entitlement Management (CIEM) and Identity Threat Detection & Response (ITDR). Henrique also provides intriguing insights into the role of AI in identity and his transition from Gartner to his current role at Saviynt. The episode ends on a lighter note with Henrique sharing some memorable experiences from his skiing adventures. Connect with Henrique: https://www.linkedin.com/in/bernardes/ Learn more about Saviynt: https://saviynt.com/ Identiverse 2024: As an IDAC listener, you can register with 25% off by using code IDV24-IDAC25 at https://events.identiverse.com/identiverse2024/register?code=IDV24-IDAC25 Meet up with our RSM team! Schedule at https://rsmus.com/events/2024-events/join-rsm-at-identiverse-2024.html Attending Identity Week in Europe, America, or Asia? Use our discount code IDAC30 for 30% off your registration fee! Learn more at: Europe: https://www.terrapinn.com/exhibition/identity-week/ America: https://www.terrapinn.com/exhibition/identity-week-america Asia: https://www.terrapinn.com/exhibition/identity-week-asia/ Connect with us on LinkedIn: Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/ Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/ Visit the show on the web at idacpodcast.com and follow @IDACPodcast on Twitter.

In this episode of Security Visionaries, join host Max Havey dives into the fascinating world of analyst research, centering on the renowned Gartner Magic Quadrant with guests Steve Riley, a former Gartner analyst, and Mona Faulkner, an experienced analyst relations professional. In their conversation they dissect the intricate process of creating a Magic Quadrant and why it's much more than just a chart. Learn about the role of analyst relations and understand why customer references hold significant value. This episode is a must-listen for any organization looking to leverage analyst research for informed purchasing decisions in a competitive, complex market.

Dell Technologies is today announcing the introduction of two new cutting-edge additions to their all-flash lineup - Dell PowerScale F210 & F710. These new storage systems are designed to boost AI innovations, offering top-notch performance and scalability with exceptional efficiency. These latest-generation file storage solutions are seamlessly integrated with the advanced OneFS software. This integration empowers businesses and organisations in Ireland to harness the power of PowerEdge servers, ideal for driving the most compute-intensive workloads with ease. "With these latest PowerScale all-flash nodes, we're ready to unleash the power of your data and fast-track your AI innovation journey," said Chris Mount, Director of Dell Technologies. "As part of the world's broadest GenAI infrastructure portfolio that spans from cloud to client devices, all from a single vendor, at Dell Technologies, we're ready to bring AI to your data anywhere." Latest All-flash Nodes Drawing on its established reputation as a Magic Quadrant leader for eight consecutive years, the PowerScale F210 and F710 are launched with enhanced capabilities. The F210 is tailored for optimal performance with smaller capacity needs, while the F710 offers a blend of high performance and substantial capacity within a compact 1RU form factor which helps in meeting the evolving needs of customers in today's data-centric landscape. Improved Efficiency Dell's latest platform features a Smart Flow chassis designed to streamline airflow. This innovative design directs air precisely where it's needed, improving energy efficiency across the system. This advancement in innovation has allowed Dell to deliver up to 90% greater performance per watt in just one year. Furthermore, the latest F710 node builds upon the capacity and density of previous generations, accommodating up to ten drives in a compact 1U configuration. This represents a 25% increase in node density compared to its predecessor, the F600. "Collaborating with Dell means faster innovation for my business. The new Dell PowerScale F710 has exceeded our expectations with more than 25% performance improvements in our EDA workloads while delivering improved data centre sustainability," said Alan Davidson, CIO of Broadcom. The release of PowerScale OneFS software and platform enhancements marks a significant milestone in AI innovation. These advancements will allow Dell customers to take full advantage of high-speed storage and empower their most demanding file workloads, including AI and generative AI (GenAI). Check out Dell's website to learn more about their AI solutions and services. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Facebook, Instagram, TikTok and Snapchat.

In this episode of #Hashtags, Gartner analyst Lizzy Foo Kune talks shop on Gartner's first-ever Magic Quadrant for Customer Data Platforms, providing an overview of trends in the customer data platform (CDP) market. The discussion includes how CMOs can manage through an era of change, as customer data becomes not just a marketing asset, but also an enterprise asset.Lizzy Foo Kune is a Gartner VP Analyst, specializing in marketing data and analytics. She co-leads the Gartner Futures Lab. Her research focuses on customer data management, including customer data platforms. In addition, she covers marketing dashboard technology and reporting processes, and marketing analytics organization and operations.

In Episode 2 of the "Spotlight on Sophos" podcast, hosts Alex and Jon delve into the latest achievements and innovations of Sophos. They highlight Sophos's remarkable feat of being recognised as a Magic Quadrant leader in endpoint security for the 14th consecutive year, showcasing their enduring excellence in the field. The hosts also explore the accolades received by Sophos from both the technical and analyst communities, underscoring the industry's acknowledgment of their expertise and contribution. Listeners gain valuable insights into Sophos' cutting-edge adaptive attack protection, a crucial aspect in today's ever-evolving threat landscape. Through a compelling case study, Alex and Jon analyse the effectiveness of Managed Detection and Response (MDR) services offered by Sophos, shedding light on real-world scenarios and outcomes.

How is the digital transformation landscape evolving, and what role does generative AI play in reshaping industries and business practices? In today's episode of Tech Talks Daily Podcast, we're joined by Jeff DeVerter, Chief Technology Officer at Rackspace Technology, to explore the dynamic journey of digital transformation and the pivotal moments that are setting new benchmarks in the tech world.  Rackspace Technology is celebrated for its innovative approach to cloud services. Gartner's Magic Quadrant recognizes it as a leader and is at the forefront of empowering businesses through every phase of their digital transformation journey. Digital transformation is more than a buzzword; it's a continuous process of change and adaptation. Jeff sheds light on how Rackspace Technology is navigating this landscape, emphasizing the importance of managing apps, data, security, and multiple clouds to reach the cloud and innovate and maximize IT investments. As we delve into the conversation, we'll uncover the key takeaways from the generative AI boom, including its role in infrastructure modernization, empowering industries like healthcare and government, and the importance of a curiosity-driven, continuous learning mindset for thriving in an AI-augmented future. Jeff also addresses the critical balance between leveraging AI to empower employees and the steps toward automation, underscoring the importance of responsible AI principles that are symbiotic, secure, and sustainable. From exploring AI's impact on social good initiatives to reimagining traditional business roles and enhancing efficiency across sectors, this episode is a deep dive into how companies can navigate the challenges and opportunities presented by AI and digital transformation. As we explore these topics, we'll touch on the real-world implications of data privacy, regulation, and the essential governance and security controls necessary for responsible AI deployment. Jeff's insights provide a roadmap for businesses looking to leverage AI as a tool for innovation and a catalyst for meaningful change and growth. In a world where the promise of tomorrow is shaped by the technological decisions of today, how can businesses ensure they're not just keeping pace but setting the pace? Join us as we explore these questions and more, and don't forget to share your thoughts on how digital transformation and AI are reshaping the landscape of your industry.

This week, we discuss the ever expanding CNCF Landscape, bundling and unbundling, and the latest cloud earnings. Plus, some thoughts on soap dispensers in Europe vs. U.S. Watch the YouTube Live Recording of Episode (https://www.youtube.com/watch?v=-Pg_rXxn1YQ) 454 (https://www.youtube.com/watch?v=-Pg_rXxn1YQ) Runner-up Titles Are we streaming. I have the whole earth to roam, so I'm not going to get space madness. If you watch it long enough every movie represents all of life. The sound track to walking the dog. At least it's open source. The Magic Quadrant of Fashion. I guess everyone's cool? What pair of pants do I need? The AirPods Pro pocket. Go down the metaphor hole. I was eating steak, and now I'm eating OpenTofu. Not good, but good enough. The Metaphor Hole Rundown CNCF Landscape (https://landscape.cncf.io) Bundling, Unbundling and Ensh*tification (https://www.thecloudcast.net/2024/02/bundling-unbundling-and-enshtification.html) (Cloudcast Pod) Earnings Meta Beats Sales Forecast Estimates; Announces First Dividend (https://www.bloomberg.com/news/articles/2024-02-01/meta-beats-sales-forecast-estimates-announces-first-dividend) Amazon Projects Profit Topping Estimates on Further Cost Cutting (https://www.bloomberg.com/news/articles/2024-02-01/amazon-projectsprofit-topping-estimates-on-further-cost-cutting) Clouded Judgement 2.2.24 - Cloud Giants Report Q4 '23 (https://cloudedjudgement.substack.com/p/clouded-judgement-2224-cloud-giants?utm_source=post-email-title&publication_id=56878&post_id=141292535&utm_campaign=email-post-title&isFreemail=true&r=2l9&utm_medium=email) Alphabet: Cloud Rebounds (https://www.appeconomyinsights.com/p/alphabet-cloud-rebounds?utm_campaign=post&utm_medium=web) Platformonomics - Follow the CAPEX: Cloud Table Stakes 2023 Retrospective (https://platformonomics.com/2024/02/follow-the-capex-cloud-table-stakes-2023-retrospective/) Relevant to your Interests Shift Happens: A book about keyboards (https://www.kickstarter.com/projects/mwichary/shift-happens) Broadcom's strategy ignores most VMware customers (https://www.theregister.com/2022/05/30/broadcom_strategy_vmware_customer_impact/) Allen Institute for AI releases ‘truly open source' LLM to drive ‘critical shift' in AI development (https://venturebeat.com/ai/truly-open-source-llm-from-ai2-to-drive-critical-shift-in-ai-development/) OLMo - Open Language Model by AI2 (https://allenai.org/olmo) Threads is growing steadily with more than 130M monthly actives. (https://www.threads.net/@mosseri/post/C20tMr8Pjeh/?igshid=MzRlODBiNWFlZA==) Leaky Vessels: Docker and runc Container Breakout Vulnerabilities - January 2024 (https://snyk.io/blog/leaky-vessels-docker-runc-container-breakout-vulnerabilities/) From unicorns to unicorpses: Why billion-dollar startups and even VC firms keep imploding (https://fortune.com/longform/failed-unicorn-startups-billion-dollar-valuation-unicorpses/) Dell said to be preparing broad Return To Office mandate (https://www.theregister.com/2024/02/03/dell_return_to_work/?td=rt-3a) Weaveworks shuts down (https://www.linkedin.com/posts/richardsonalexis_hi-everyone-i-am-very-sad-to-announce-activity-7160295096825860096-ZS67?utm_source=share&utm_medium=member_desktop) A Giant Reborn: Satya Nadella's Decade as Microsoft CEO (https://www.youtube.com/watch?v=9KzIKFpKZKM) Is the $139 Amazon Prime Subscription Still Worth It? (https://www.wsj.com/tech/personal-tech/is-the-139-amazon-prime-subscription-still-worth-it-83a597c7?reflink=integratedwebview_share) Everbridge Agrees to $1.5B Buyout Offer From Thoma Bravo (https://www.marketwatch.com/story/everbridge-agrees-to-1-5b-buyout-offer-from-thoma-bravo-179db224?mod=newsviewer_click) Adam Neumann Tries to Buy Back WeWork (https://www.wsj.com/articles/adam-neumann-looks-to-buy-back-wework-86ee5f2b) NinjaOne Notches $1.9 Billion Valuation in Deal Led By Iconiq (https://www.bloomberg.com/news/articles/2024-02-06/ninjaone-notches-1-9-billion-valuation-in-deal-led-by-iconiq) YouTube TV says it has more than 8 million subscribers (https://www.axios.com/2024/02/06/youtube-tv-subscribers-cable-satellite) Pivotal founder Rob Mee is back with a new startup. (https://twitter.com/alexrkonrad/status/1755278551828300162?s=46&t=zgzybiDdIcGuQ_7WuoOX0A) ESPN, Fox, WBD shake up media with plans for new sports streaming service (https://www.sportsbusinessjournal.com/Articles/2024/02/06/ESPN-Disney-Warner-Bros-Discovery-Fox-pay-joint-streaming-service) Arm shares surge 48% after SoftBank-controlled chip designer issues strong forecast (https://www.cnbc.com/2024/02/08/arm-shares-soar-after-reporting-strong-earnings-and-forecast.html) Sam Altman Seeks Trillions of Dollars to Reshape Business of Chips and AI (https://www.wsj.com/tech/ai/sam-altman-seeks-trillions-of-dollars-to-reshape-business-of-chips-and-ai-89ab3db0?page=1) Disney invests $1.5B in Epic Games, plans new “games and entertainment universe” (https://arstechnica.com/gaming/2024/02/epic-working-with-disney-on-new-gaming-universe-after-1-5b-investment/) Dynatrace hits $1.4 billion ARR, grabs logos from AppDynamics, aims to grow logs offering (https://www.thestack.technology/dynatrace-hits-1-4-billion-arr-grabs-customers-from-appdynamics-aims-to-grow-logs-offering/) Google and Yahoo Are Cracking Down on Inbox Spam. Don't Expect Less Email Marketing. (https://www.wsj.com/articles/google-and-yahoo-are-cracking-down-on-inbox-spam-dont-expect-less-email-marketing-dd124c19) Cloudflare's crowd-sources another patent troll case victory (https://www.theregister.com/2024/02/12/cloudflare_patent_troll/) (Almost) Every infrastructure decision I endorse or regret after 4 years running infrastructure at a startup (https://cep.dev/posts/every-infrastructure-decision-i-endorse-or-regret-after-4-years-running-infrastructure-at-a-startup/) 2024 State of Internal Developer Portals | Port (https://www.getport.io/state-of-internal-developer-portals) Amazon's Cloud Crisis: How AWS Will Lose The Future Of Computing (https://www.semianalysis.com/p/amazons-cloud-crisis-how-aws-will?ck_subscriber_id=1141233388) Yandex: The end of an era for Russia's most innovative firm (https://en.thebell.io/yandex-the-end-of-an-era-for-russias-most-innovative-firm/) How Mastodon made friends with Meta (https://www.platformer.news/mastodon-interview-eugen-rochko-meta-bluesky-threads-federation/?ref=platformer-newsletter) The Vision Pro (https://daringfireball.net/2024/01/the_vision_pro) Microsoft Teams, Word, Excel, and more are coming to Apple's Vision Pro at launch (https://www.theverge.com/2024/1/31/24057122/microsoft-apple-vision-pro-office-apps-microsoft-365) Apple's Vision Pro battery pack is hiding the final boss of Lightning cables (https://www.theverge.com/2024/1/31/24057392/apple-vision-pro-battery-lightning-cable) Why Tim Cook Is Going All In on the Apple Vision Pro (https://www.vanityfair.com/news/tim-cook-apple-vision-pro?mbid=social_twitter&utm_social-type=owned&utm_source=twitter&utm_medium=social&utm_brand=vf) the thing no one will say about Apple Vision Pro (https://www.youtube.com/watch?v=UvkgmyfMPks) Working in the Vision Pro (https://www.youtube.com/watch?v=BV9Xy6L_rlM) Forgot Your Apple Vision Pro's Passcode? You May Have to Take It Back to Store (https://www.bloomberg.com/news/articles/2024-02-05/forgot-your-apple-vision-pro-s-passcode-you-may-have-to-take-it-back-to-store) Tesla owners told not to wear Apple virtual reality headsets while driving (https://www.bbc.com/news/technology-68215614) Nonsense Cynical book summaries (https://www.plg.news/p/aoapm-002-cynical-book-summaries) H-E-B's North Texas impact starting to become clear across groceries, real estate (https://www.wfaa.com/article/news/local/h-e-b-stores-north-texas-impact-starting-to-become-clear-across-groceries-real-estate/287-86836f22-e000-4d67-83d7-42e66ac01542?fbclid=IwAR1feOapOO7kMdv-xH3oBATelXpoKvf2ioNJEGt5MUzvA_X8C4nYMYPNquI_aem_AUUb7ZEwow8o6qAELGm8Xwb8eYCBdezDAdIpe-9nCSanh6MKQWpd8RIZRqMgBJekf6U#ls972nf7ju9xufblh6q) The 10 Best-Selling Vehicles in America in 2023 (https://www.visualcapitalist.com/best-selling-vehicles-in-america-in-2023/) One of Our Best Websites Died While No One Was Looking (https://slate.com/technology/2024/02/quora-what-happened-ai-decline.html) Stanley Made Reusable Cups Huge. Now It Has to Make Them Sustainable (https://www.bloomberg.com/news/articles/2024-02-01/stanley-made-reusable-cups-huge-now-it-has-to-make-them-sustainable) Most accurate video I've ever seen (https://x.com/anothercohen/status/1756181201847509392?s=46&t=zgzybiDdIcGuQ_7WuoOX0A) Listener Feedback Brian recommends Subprime Attention Crisis (https://www.audible.com/pd/Subprime-Attention-Crisis-Audiobook/0593454103?ref_pageloadid=Dsqv0n17FOwUqOpK&ref=a_library_t_c5_libItem_0593454103_0&pf_rd_p=80765e81-b10a-4f33-b1d3-ffb87793d047&pf_rd_r=7C4TQFGZXK856S6W40BH&pageLoadId=Fo0QcV8X3KEf9ys4&creativeId=4ee810cf-ac8e-4eeb-8b79-40e176d0a225) Andrew recommends the Amazon.com: Sink Soap Dispenser (https://www.amazon.com/dp/B07SJ8SQ6Q?ref=ppx_pop_mob_ap_share) Conferences SCaLE 21x/DevOpsDays LA, March 14th (https://www.socallinuxexpo.org/scale/21x)– (https://www.socallinuxexpo.org/scale/21x)17th, 2024 (https://www.socallinuxexpo.org/scale/21x) — Coté speaking (https://www.socallinuxexpo.org/scale/21x/presentations/we-fear-change), sponsorship slots available. KubeCon EU Paris, March 19 (https://events.linuxfoundation.org/kubecon-cloudnativecon-europe/)– (https://events.linuxfoundation.org/kubecon-cloudnativecon-europe/)22 (https://events.linuxfoundation.org/kubecon-cloudnativecon-europe/) — Coté on the wait list for the platform side conference. Get 20% off with the discount code KCEU24VMWBC20. DevOpsDays Birmingham, April 17–18, 2024 (https://talks.devopsdays.org/devopsdays-birmingham-al-2024/cfp) Exe (https://ismg.events/roundtable-event/dallas-robust-security-java-applications/?utm_source=cote&utm_campaign=devrel&utm_medium=newsletter&utm_content=newsletterUpcoming)cutive dinner in Dallas that Coté's hosting on March 13st, 2024 (https://ismg.events/roundtable-event/dallas-robust-security-java-applications/?utm_source=cote&utm_campaign=devrel&utm_medium=newsletter&utm_content=newsletterUpcoming). If you're an “executive” who might want to buy stuff from Tanzu to get better at your apps, than register. There is also a Tanzu exec event coming up in the next few months, email Coté (mailto:cote@broadcom.com) if you want to hear more about it. SDT news & hype Join us in Slack (http://www.softwaredefinedtalk.com/slack). Get a SDT Sticker! Send your postal address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) and we will send you free laptop stickers! Follow us: Twitch (https://www.twitch.tv/sdtpodcast), Twitter (https://twitter.com/softwaredeftalk), Instagram (https://www.instagram.com/softwaredefinedtalk/), Mastodon (https://hachyderm.io/@softwaredefinedtalk), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk), Threads (https://www.threads.net/@softwaredefinedtalk) and YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured). Use the code SDT to get $20 off Coté's book, Digital WTF (https://leanpub.com/digitalwtf/c/sdt), so $5 total. Become a sponsor of Software Defined Talk (https://www.softwaredefinedtalk.com/ads)! Recommendations Brandon: Chamberlain Smart Garage Control (https://www.myq.com/products/smart-garage-control) Matt: FLOSS Weekly Episode 769: OpenCost — We Spent How Much? (https://hackaday.com/2024/02/07/floss-weekly-episode-769-opencost-we-spent-how-much/) Coté: chocolate covered dates at Tree of Dates (https://maps.app.goo.gl/QRc9Zj89cn4CZmMbA). Photo Credits Header (https://unsplash.com/photos/a-row-of-books-sitting-on-top-of-a-shelf-HqA7l8IbhmY) Artwork by Google Gemini

Gartner defines low-code application platforms (LCAPs) as application platforms that are used to rapidly develop and run custom applications by abstracting and minimizing the use of programming languages. They are the foundation for a wide range of application types, application components and process automation. In this episode, we dive deep into Gartner's Magic Quadrant on low code with lead author, Oleksandr Matvitskyy to examine where the benefits, risks and innovations with this popular technology lie. Recommendations:Check out the full Magic Quadrant for Enterprise Low-Code Application PlatformsDownload the 2023 Technology Adoption Roadmap for Software Engineering (ebook)Join the conversation in the Gartner Peer Community

We love a good chart, and every year, Gartner provides us with one that gets a *lot* of buzz. In this episode, Aaron Sheehan joins Phillip to unpack and unlock the mysteries and myths of the Magic Quadrant and ways it can benefit those having a look and those who have been placed on it. Why is context so important in understanding this and other reports, and why doesn't anyone talk about The Critical Capabilities report that comes out simultaneously? Listen now to this insightful discussion!Smoke-Filled Rooms{00:17:05} - “These methodologies get a little calcified probably over time, but that's by at some level design. They're not meant to be sort of continually updated because they're meant to be a point of comparison year over year.” - Aaron{00:18:36} - “If Gartner or Forrester or whoever had a completeness of vision rubric, let's say they understand every single vendor's vision, their roadmap, and where they are on their progression of the roadmap, then in reality, every point on this quadrant, at least on the Gartner Magic Quadrant, is not relative to each other, but relative to their product roadmap.” - Phillip{00:26:37} - “It's not about movement within a fixed scale, it's that the scale is constantly moving in both directions and your velocity as a business and your total addressable market as a business determine where you stay on that stretching canvas.” - Phillip{00:26:56} - “Like a lot of human endeavor, the analyst reports are an attempt to impose a scientific rigor on what is often a somewhat emotional set of judgment calls.” - Aaron{00:38:00} - “It probably hurts you not to show up and participate in the RFI because you lose the chance to present your vision and your roadmap and cast yourself in the best light to the analysts. So that's a good thing for you to do if you are wanting to rank well.” - Aaron{00:57:57} - “The more specific context you can bring into your graphic, the better, the more useful your two-dimensional graphic probably is because that context is the actual third dimension in that 3D visualization that I was advocating for at the beginning. It's the context that helps you interpret the graphic.” - AaronAssociated Links:The long-form breakdown of the 2023 Gartner Magic Quadrant for Commerce Platforms — from Cocktails and Commerce by Brian WalkerThe 2021-2023 comparison chart of the Gartner Magic Quadrant for Commerce Platforms by Slava Kravchuk, CEO of AtwixGrab your copy of The Multiplayer Brand for just $20 with free shipping in the U.S.Have you checked out our YouTube channel yet?Subscribe to Insiders and The Senses to read more about what we are witnessing in the commerce worldListen to our other episodes of Future CommerceHave any questions or comments about the show? Let us know on futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners!

Welcome episode 228 of the Cloud Pod podcast - where the forecast is always cloudy! This week your hosts Justin, Jonathan, Matthew and Ryan are taking a look at Magic Quadrant, Gemini AI, and GraalOS - along with all the latest news from OCI, Google, AWS, and Azure.  Titles we almost went with this week: The CloudPod wonders if Anthropic's Santa Clause will bring us everything we want in an AI Bot. The Cloud Pod recommends protection to achieve Safer Google rides the gemini rocket to AI JPB The only Copilot I need Azure, is Booze GraalOS, or what we now call ‘the noise our CFO makes when he receives the Oracle audit bills' The hosts of the Cloud pod would like to understand how to properly pronounce GraalOS Is Oracle even on the magic quadrant for cloud? RedHat Puts lipstick on the pig and calls it OpenStack A big thanks to this week's sponsor: Foghorn Consulting provides top-notch cloud and DevOps engineers to the world's most innovative companies. Initiatives stalled because you have trouble hiring?  Foghorn can be burning down your DevOps and Cloud backlogs as soon as next week.

Today on our show:Gartner releases its digital commerce Magic QuadrantShein and Forever21 build a partnershipLearning from Instacart's IPO filingKlaviyo IPO sets the bar for profitable software companiesAnd finally, The Investor Minute, which contains 6 items this week from the world of venture capital, acquisitions, and IPOs.https://www.rmwcommerce.com/ecommerce-podcast-watsonweekly

In episode 155 of our SAP on Azure video podcast we talk about the Magic Quadrant for Robotic Process Automation, Forrester Wave for Low-Code Development Platforms, Generative AI use-cases with SAP and an Open Source Framework for uploading Excel files in UI5 made easy. Then we talk with Dennis and Ralitza about using Virtual Machine Scale Sets flex with SAP workload. Typically VMs can be deployed regionally using Availability sets or zonal using Availability zones. VMSS Flex for SAP can now combine these two deployments by logically grouping platform managed virtual machines. Find all the links mentioned here: https://www.saponazurepodcast.de/episode155 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #HA

How do you Integrate AI with Software Testing? Want to know what one of the better BDD frameworks is And what tool ranked highest on the Gartner Magic Quadrant for Application Performance Monitoring and Observability? Find out in this episode of the Test Guild New Shows for the week of {July 16}. So, grab your favorite cup of coffee or tea, and let's do this.g Time News Title Rocket Link 00:20 Applitoools FREE Account Offer https://applitools.info/joe 00:39 Implementing POM design pattern https://testguild.me/jm4yxf 1:42 Testing Bolt on AI https://testguild.me/ts9395 2:45 Building Automated Tests Using Generative AI https://testguild.me/ucya4g 3:37 A Beginner's Guide to BDD with SpecFlow https://testguild.me/nwwlj4 4:47 2023 Gartner Magic Quadrant for APM https://testguild.me/8qe25s 5:53 Streamlining Performance Testing with K6 and ChatGPT https://testguild.me/br4kds 7:01 Chaos Testing: Improving System Resilience https://testguild.me/m71pil 8:04 Taylor Swift's Performance Issues https://testguild.me/rxvsfc  

What is the importance of researching your competition and managing your financials? In this episode of the Small Business Tax Savings Podcast, Mike welcomes Brandon White and discusses the 11 slides needed for a successful back of the Napkin Business plan. They provide tips on how to create a compelling and concise business plan that will help you save money and grow your business. Brandon dives into creating elevator pitches, problem-solving, market opportunities, go-to-market plans, financials, and more. Discover the importance of understanding your competition in order to succeed in business and find out about the different sources and tools available for researching and analyzing competitors such as SWOT analysis, Magic Quadrant, SEC filings, etc.Tune in now and hear Brandon talk about various funding options, including venture capital or angel investments, getting a loan, or trading stocks![00:22] The Back Of The Napkin To Business PlanMike welcomes back his guest, Brandon White!Today's topic is, “Competition and Financials”The focus on competition to avoid getting blindsided  [02:40] Identifying And Understanding Your CompetitionCompetition can be used as a motivator to help you grow and push your productsCollaboration with forward-thinking competitors to help each other outSoftware company doing 500 million in revenue shows it is possibleSWOT analysis to break apart competition[08:35] Breaking Down Revenue Lines And Optimizing Your Net ProfitIdentify who your competition is and where they are in the marketCash is king and understanding your revenue lines and expenses is keyMarketing should be included to understand how much money you'll make from marketingFigure out funding options beyond venture capitalists or angel investors[16:45] Closing SegmentBrandon talks about various funding options when creating a business plan and growing your business!Final WordsKey Quotes“Identify who your competition is, where they are in the market, which is where you really are going. You may think they're competition and they're not even competition.” – Brandon WhiteConnect with Brandon through his:Website: https://brandoncwhite.com/LinkedIn: https://www.linkedin.com/in/brandonwhite/YouTube: https://www.youtube.com/channel/UCabV9Rcw4MohWvTGr3OTzFwInstagram: https://www.instagram.com/brandoncwhite/?hl=en--------Podcast Host: Mike Jesowshek, CPA - Founder and Host of Small Business Tax Savings PodcastJoin Our Tax Minimization Program: https://www.taxsavingspodcast.com/taxIncSight Packages: https://incsight.net/pricing/Book an Initial Consultation: https://app.simplymeet.me/o/incsight/sale-------Podcast Website: https://www.TaxSavingsPodcast.comFacebook Group: https://www.facebook.com/groups/taxsavings/--------To find out more on this topic and many others visit our website at www.TaxSavingsPodcast.com. You can also give us a call at 844-327-9272 or send your questions to us at: Ask@TaxSavingsPodcast.com

Gartner recently released its annual Magic Quadrant report on Warehouse Management Systems. In addition to the vendor rankings, we're always interested in the WMS market analysis Garter provides in the report.

This bonus episode features an interview with Steve Riley, Field CTO of Netskope. Steve is a widely-renowned expert speaker, author, researcher, and analyst. Prior to Netskope, Steve came from Gartner, where for five years he maintained a collection of cloud security research that included the Magic Quadrant for Cloud Access Security Brokers and the Market Guide for Zero Trust Network Access.In this episode, Mike and Steve discuss the Gartner® Magic Quadrant™ for Security Service Edge (SSE), Netskope's positioning, and how the current economic climate will impact the SASE journey.Get your complimentary copy of the 2023 Gartner Critical Capabilities for Security Service Edge report and review the 2023 Gartner Magic Quadrant for Security Service Edge-----------------“I would say that there's a lot of power in the singles. The single policy framework, the single console, the single agent. I've talked to a lot of folks who complain about having to log into multiple consoles, multiple single panes of glass, as some people might want to say. And they love the fact that when they come to Netskope, it's one spot. The singles are helping us eliminate all of these acronyms and eliminate all of the ways [of] thinking differently about the different destinations and having that unified policy mindset.” – Steve Riley-----------------Episode Timestamps:*(03:58): Steve's background at Gartner  *(07:57): Steve discusses the importance of last year's SSE MQ*(10:49): What's changed about SSE in the last year*(19:51): How Netskope's positioning furthers the SASE journey*(24:43): How the current economic climate will affect SASE*(34:29): The most important outcome of getting SASE right*(37:45): Why SASE is the right bet to make*(40:13): 2030 Goggles*(44:11): Quick Hits*(48:23): Mike's 3 takeaways from his conversation with Steve-----------------Links:Connect with Steve Riley on LinkedInConnect with Mike Anderson LinkedInwww.netskope.com

Raj Bala, Founder of Perspect, joins Corey on Screaming in the Cloud to discuss all things generative AI. Perspect is a new generative AI company that is democratizing the e-commerce space, by making it possible to place images of products in places that would previously require expensive photoshoots and editing. Throughout the conversation, Raj shares insights into the legal questions surrounding the rise of generative AI and potential ramifications of its widespread adoption. Raj and Corey also dig into the question, “Why were the big cloud providers beaten to the market by OpenAI?” Raj also shares his thoughts on why company culture has to be organic, and how he's hoping generative AI will move the needle for mom-and-pop businesses. About RajRaj Bala, formerly a VP, Analyst at Gartner, led the Magic Quadrant for Cloud Infrastructure and Platform Services since its inception and led the Magic Quadrant for IaaS before that.  He is deeply in-tune with market dynamics both in the US and Europe, but also extending to China, Africa and Latin America.  Raj is also a software developer and is capable of building and deploying scalable services on the cloud providers to which he wrote about as a Gartner analyst.  As such, Raj is now building Perspect, which is a SaaS offering at the intersection of AI and E-commerce.Raj's favorite language is Python and he is obsessed with making pizza and ice cream. Links Referenced:Perspect: https://perspect.com TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: This episode is sponsored in part by our friends at Thinkst Canary. Most folks find out way too late that they've been breached. Thinkst Canary changes this. Deploy Canaries and Canarytokens in minutes and then forget about them. Attackers tip their hand by touching 'em giving you one alert, when it matters. With 0 admin overhead and almost no false-positives, Canaries are deployed (and loved) on all 7 continents. Check out what people are saying at canary.love today!Corey: This episode is sponsored in part by our friends at Chronosphere. When it costs more money and time to observe your environment than it does to build it, there's a problem. With Chronosphere, you can shape and transform observability data based on need, context and utility. Learn how to only store the useful data you need to see in order to reduce costs and improve performance at chronosphere.io/corey-quinn. That's chronosphere.io/corey-quinn. And my thanks to them for sponsor ing my ridiculous nonsense. Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. Back again, after a relatively brief point in time since the last time he was on, is Raj Bala. Formerly a VP analyst at Gartner, but now instead of talking about the past, we are talking, instead, about the future. Raj, welcome back. You're now the Founder at Perspect. What are you doing over there?Raj: I am indeed. I'm building a SaaS service around the generative AI space at the intersection of e-commerce. So, those two things are things that I'm interested in. And so, I'm building a SaaS offering in that space.Corey: This is the first episode in which we're having an in-depth discussion about generative AI. It's mostly been a topic that I've avoided because until now, relatively recently, it's all been very visual. And it turns into sort of the next generation's crappy version of Instagram, where, “Okay. Well, Instagram's down, so can you just describe your lunch to me?” It's not compelling to describe a generated image on an audio-based podcast. But with the advent of things like ChatGPT, where suddenly it's muscling into my realm, which is the written word, suddenly it feels like there's a lot more attention and effort being paid to it in a bunch of places where it wasn't getting a lot of coverage before, including this one. So, when you talk about generative AI, are you talking in the sense of visual, in terms of the written word, in terms of all of the above, and more? Where's your interest lie?Raj: I think it's all of the above and more. My interest is in all of it, but my focus right now is on the image aspect of things. I've been pretty knee-deep in stable diffusion and all the things that it entails, and it is largely about images at this point.Corey: So, talk to me more about how you're building something that stands between the intersection of e-commerce and generative AI. Because when I go to perspect.com, I'm not staring at a web store in the traditional sense. I'm looking at something that—again, early days, I'm not judging you based upon the content of your landing page—but it does present as a bit more of a developer tool and a little bit less of a “look how pretty it is.”Raj: Yeah. It's very much a developer-focused e-commerce offering. So, as a software developer, if you want programmatic access to all things e-commerce and generative AI that are related to e-commerce, you can do that on perspect.com. So, yeah. It is about taking images of products and being able to put them in AI-generated places essentially.Corey: Got it. So, effectively you're trying to sell, I don't know, titanium jewelry for the sake of argument. And you're talking about now you can place it on a generated model's hand to display this rather than having to either fake it or alternately have a whole bunch of very expensive product shoots and modeling sessions.Raj: Exactly. Exactly. If you want to put this piece of jewelry in front of the Eiffel Tower or the Pyramids of Giza, you can do that in a few seconds as opposed to the expensive photo shoots that were once required.Corey: On some level, given that I spend most of my time kicking around various SaaS products, I kind of love the idea of stock photography modeling, I don't know, Datadog or whatnot. I don't know how that would even begin to pan out, but I'm totally here for it.Raj: That's funny.Corey: Now, the hard part that I'm seeing right now is—I mean, you used to work at Gartner for years.Raj: I did.Corey: You folks are the origin of the Gartner-hype cycle. And given all the breathless enthusiasm, massive amounts of attention, and frankly, hilarious, more than a little horrifying, missteps that we start seeing in public, it feels like we are very much in the heady early days of hype around generative AI.Raj: No doubt about it. No doubt about it. But just thinking about what's possible and what is being accomplished even week to week in this space is just mind-blowing. I mean, this stuff didn't exist really six months ago. And now, the open-source frameworks are out there. The ecosystems are developing around it. A lot of people have compared generative AI to the iPhone. And I think it's actually maybe bigger than that. It's more internet-scale disruption, not just a single device like the iPhone.Corey: It's one of those things that I have the sneaking suspicion is going to start showing up in a whole bunch of different places, manifesting in a whole host of different ways. I've been watching academia, largely, freak out about the idea that, “Well, kids are using it to cheat on their homework.” Okay. I understand the position that they're coming from. But it seems like whenever a new technology is unleashed on the world, that is the immediate, instantaneous, reflexive blowback—not necessarily picking on academics, in particular—but rather, the way that we've always done something is now potentially very easy to use thanks to this advance in technology. “Oh, crap. What do we do?” And there's usually a bunch of scurrying around in futile attempts to put the genie back in the bottle, which frankly, never works. And you also see folks trying to sprint, to sort of keep up with this. And it never really pans out. Society adapts, adjusts, and evolves. And I don't think that that's an inherently terrible thing.Raj: I don't think so either. I mean, the same thing existed with the calculator, right? Do you remember early days in school, they said you can't use a calculator, right? And—Corey: Because remember you will not have a calculator in your pocket as you go through life. Well, that was a lie.Raj: But during the test—during the test that you have to take, you will not have a calculator. And when the rubber meets the road in person during that test, you're going to have to show your skills. And the same thing will happen here. We'll just have to have ground rules and ways to check and balance whether people are cheating or not and adapt, just like you said.Corey: On some level, you're only really cheating yourself past a certain point.Raj: Exactly.Corey: There's value in being able to tell a story in a cohesive, understandable way.Raj: Absolutely.Corey: Oh, the computer will do it for me. And I don't know that you can necessarily depend on that.Raj: Absolutely. Absolutely. You have to understand more than just the inputs and outputs. You have to understand the black box in between enough to show that you understand the subject.Corey: One thing that I find interesting is the position of the cloud providers in this entire—Raj: Mm-hmm.Corey: —space. We have Google, who has had a bunch of execs talking about how they've been working on this internally for years. Like you get how that makes you look worse instead of better, right? Like they're effectively tripping over one another on LinkedIn to talk about how they've been working on this for such a long time, and they have something just like it. Well, yeah. Okay. You got beaten to market by a company less than a decade old.Azure has partnered with OpenAI and brought a lot of this to Bing so rapidly they didn't have time to update their more of a Bing app away from the “Use Bing and earn Microsoft coins” nonsense. It's just wow. Talk about a—being caught flat-footed on this. And Amazon, of course, has said effectively nothing. The one even slightly generative AI service that they have come out with that I can think of that anyone could be forgiven for having missed is—they unleashed this one year at re:Invent's Midnight Madness where they had Dr. Matt Wood get on stage with the DeepComposer and play a little bit of a song. And it would, in turn, iterate on that. And that was the last time any of us ever really heard anything about the DeepComposer. I've got one on my shelf. And I do not hear about it mentioned even in passing other than in trivia contests.Raj: Yeah. It's pretty fascinating. Amazon with all their might, and AWS in particular—I mean, AWS has Alexa, and so they've—the thing you give to Alexa is a prompt, right? I mean, it is generative AI in a large way. You're feeding it a prompt and saying do something. And it spits out something tokenized to you. But the fact that OpenAI has upended all of these companies I think is massive. And it tells us something else about Microsoft too is that they didn't have the wherewithal integrally to really compete themselves. They had to do it with someone else, right? They couldn't muster up the effort to really build this themselves. They had to use OpenAI.Corey: On some level, it's a great time to be a cloud provider because all of these experiments are taking place on top of a whole bunch of very expensive, very specific compute.Raj: Sure.Corey: But that is necessary but not sufficient as we look at it across the board. Because even AWS's own machine-learning powered services, it's only relatively recently that they seemed to have gotten above the “Step one, get a PhD in this stuff. Step two, here's all the nuts and bolts you have to understand about how to build machine-learning models.” Whereas the thing that's really caused OpenAI's stuff to proliferate in the public awareness is, “Okay. You got to a webpage, and you tell it what to draw, and it draws the thing.” Or “go ahead and rename an AWS service if the naming manager had a sense of creativity and a slight bit of whimsy.” And it comes out with names that are six times better than anything AWS has ever come out with.Raj: So, funny. I saw your tweet on that actually. Yeah. If you want to do generative AI on AWS today, it is hard. Oh, my gosh. That's if you can get the capacity. That's if you can get the GPU capacity. That's if you can put together the ML ops necessary to make it all happen. It is extremely hard. Yeah, so putting stuff into a chat interface is 1,000 times easier. I mean, doing something like containers on GPUs is just massively difficult in the cloud today.Corey: It's hard to get them in many cases as well. I had customers that asked, “Okay. What special preferential treatment can we get to get access to more GPUs?” It's like can you break the laws of physics or change global supply chain because if so, great. You've got this unlocked. Otherwise, good luck.Raj: I think us-east-2 a couple weeks ago for like the entire week was out of the GPU capacity necessary the entire week.Corey: I haven't been really tracking a lot of the GPU-specific stuff. Do you happen to know what a lot of OpenAI's stuff is built on top of from a vendoring perspective?Raj: I mean, it's got to be Nvidia, right? Is that what you're asking me?Corey: Yeah. I'm—I don't know a lot of the—again, this is not my area.Raj: Yeah, yeah.Corey: I am not particularly deep in the differences between the various silicon manufacturers. I know that AWS has their Inferentia chipset that's named after something that sounds like what my grandfather had. You've got a bunch of AMD stuff coming out. You've have—Intel's been in this space for a while. But Nvidia has sort of been the gold standard based upon GPU stories. So, I would assume it's Nvidia.Raj: At this point, they're the only game in town. No one else matters. The frameworks simply don't support anything other than Nvidia. So, in fact, OpenAI—them and Facebook—they are kind of leading some—a bunch of the open-source right now. So, it's—Stability AI, Hugging Face, OpenAI, Facebook, and all their stuff is dependent on Nvidia. None of it—if you look through the source code, none of it really relies on Inferentia or Trainium or AMD or Intel. It's all Nvidia.Corey: As you look across the current landscape—at least—let me rephrase that. As I look across the current landscape, I am very hard-pressed to identify any company except probably OpenAI itself as doing anything other than falling all over itself having been caught—what feels like—completely flat-footed. We've seen announcements rushed. We've seen people talking breathlessly about things that are not yet actively available. When does that stop? When do we start to see a little bit of thought and consideration put into a lot of the things that are being rolled out, as opposed to “We're going to roll this out as an assistant now to our search engine” and then having to immediately turn it off because it becomes deeply and disturbingly problematic in how it responds to a lot of things?Raj: You mean Sam Altman saying he's got a lodge in Montana with a cache of firearms in case AI gets out of control? You mean that doesn't alarm you in any way?Corey: A little bit. Just a little bit. And like even now you're trying to do things that, to be clear, I am not trying to push the boundaries of these things. But all right. Write a limerick about Elon Musk hurling money at things that are ridiculous. Like, I am not going to make fun of individual people. It's like I get that. But there is a punching-up story around these things. Like, you also want to make sure that's it not “Write a limerick about the disgusting habit of my sixth-grade classmate.” Like, you don't want to, basically, automate the process of cyber-bullying. Let's be clear here. But finding that nuance, it's a societal thing to wrestle with, on some level. But I think that we're anywhere near having cohesive ideas around it.Raj: Yeah. I mean, this stuff is going to be used for nefarious ways. And it's beyond just cyberbullying, too. I think nation-states are going to use this stuff to—as a way to create disinformation. I mean, if we saw a huge flux of disinformation in 2020, just imagine what's going to happen in 2024 with AI-generated disinformation. That's going to be off the charts.Corey: It'll be at a point where you fundamentally have to go back to explicitly trusted sources as opposed to, “Well, I saw a photo of it or a video of it” or someone getting onstage and dancing about it. Well, all those things can be generated now for, effectively, pennies.Raj: I mean, think about evidence in a courtroom now. If I can generate an image of myself holding a gun to someone's head, you have to essentially dismiss all sorts of photographic evidence or video evidence soon enough in court because you can't trust the authenticity of it.Corey: It makes providence and chain-of-custody issues far more important than they were before. And it was still a big deal. Photoshop has been around for a while. And I remember thinking when I was younger, “I wonder how long it'll be until videos become the next evolution of this.” Because there was—we got to a point fairly early on in my life where you couldn't necessarily take a photograph at face value anymore because—I mean, look at some of the special effects we see in movies. Yeah, okay. Theoretically, someone could come up with an incredibly convincing fake of whatever it is that they're trying to show. But back then, it required massive render farms and significant investment to really want to screw someone over. Now, it requires drinking a couple glasses of wine, going on the internet late at night, navigating to the OpenAI webpage, and typing in the right prompt. Maybe you iterate on it a little bit, and it spits it out for basically free.Raj: That's one of the sectors, actually, that's going to adopt this stuff the soonest. It's happening now, the film and movie industry. Stability AI actually has a film director on staff. And his job is to be sort of the liaison to Hollywood. And they're going to help build AI solutions into films and so forth. So, yeah. But that's happening now.Corey: One of the more amazing things that I've seen has been the idea of generative voice where it used to be that in order to get an even halfway acceptable model of someone's voice, they had to read a script for the better part of an hour. That—and they had to make sure that they did it with certain inflection points and certain tones. Now, you can train these things on, “All right. Great. Here's this person just talking for ten minutes. Here you go.” And the reason I know this—maybe I shouldn't be disclosing this as publicly as I am, but the heck with it. We've had one of me on backup that we've used intermittently on those rare occasions when I'm traveling, don't have my recording setup with me, and this needs to go out in a short time period. And we've used it probably a dozen times over the course of the 400 and some odd episodes we've done. One person has ever noticed.Raj: Wow.Corey: Now, having a conversation going back and forth, start pairing some of those better models with something like ChatGPT, and basically, you're building your own best friend.Raj: Yeah. I mean, soon enough you'll be able to do video AI, completely AI-generated of your podcast perhaps.Corey: That would be kind of wild, on some level. Like now we're going to animate the whole thing.Raj: Yeah.Corey: Like I still feel like we need more action sequences. Don't know about you, but I don't have quite the flexibility I did when I was younger. I can't very well even do a pratfall without wondering if I just broke a hip.Raj: You can have an action sequence where you kick off a CloudFormation task. How about that?Corey: One area where I have found that generative text AI, at least, has been lackluster, has been right a parody of the following song around these particular dimensions. Their meter is off. Their—the cleverness is missing.Raj: Hmm.Corey: They at least understand what a parody is and they understand the lyrics of the song, but they're still a few iterative generations away. That said, I don't want to besmirch the work of people who put into these things. They are basically—Raj: Mm-hmm.Corey: —magic.Raj: For sure. Absolutely. I mean, I'm in wonderment of some of the artwork that I'm able to generate with generative AI. I mean, it is absolutely awe-inspiring. No doubt about it.Corey: So, what's gotten you excited about pairing this specifically with e-commerce? That seems like an odd couple to wind up smashing together. But you have had one of the best perspectives on this industry for a long time now. So, my question is not, “What's wrong with you?” But rather, “What are you seeing that I'm missing?”Raj: I think it's the biggest opportunity from an impact perspective. Generating AI avatars of yourself is pretty cool. But ultimately, I think that's a pretty small market. I think the biggest market you can go after right now is e-commerce in the generative AI space. I think that's the one that's going to move the needle for a lot of people. So, it's a big opportunity for one. I think there are interesting things you can do in it. The technical aspects are equally interesting. So, you know, there are a handful of compelling things that draw me to it.Corey: I think you're right. There's a lot of interest and a lot of energy and a lot of focus built around a lot of the neat, flashy stuff. But it's “Okay. How does this windup serving problems that people will pay money for?” Like right now to get early access to ChatGPT and not get rate-limited out, I'm paying them 20 bucks a month which, fine, whatever. I am also in a somewhat privileged position. If you're generating profile photos that same way, people are going to be very hard-pressed to wind up paying more than a couple bucks for it. That's not where the money is. But solving business problems—and I think you're onto something with the idea of generative photography of products that are for sale—that has the potential to be incredibly lucrative. It tackles what to most folks is relatively boring, if I can say that, as far as business problems go. And that's often where a lot of value is locked away.Raj: I mean, in a way, you can think of generative AI in this space as similar to what cloud providers themselves do. So, the cloud providers themselves afforded much smaller entities the ability to provision large-scale infrastructure without high fixed costs. And in some ways, I know the same applies to this space too. So, now mom-and-pop shop-type people will be able to generate interesting product photos without high fixed costs of photoshoots and Photoshop and so forth. And so, I think in some ways it helps to democratize some of the bigger tools that people have had access to.Corey: That's really what it comes down to is these technologies have existed in labs, at least, for a little while. But now, they're really coming out as interesting, I guess, technical demos, for lack of a better term. But the entire general public is having access to these things. There's not the requirement that we wind up investing an enormous pile of money in custom hardware and the rest. It feels evocative of the revolution that was cloud computing in its early days. Where suddenly, if I have an idea, I don't need either build it on a crappy computer under my desk or go buy a bunch of servers and wait eight weeks for them to show up in a rack somewhere. I can just start kicking the tires on it immediately. It's about democratizing access. That, I think, is the magic pill here.Raj: Exactly. And the entry point for people who want to do this as a business, so like me, it is a huge hurdle still to get this stuff running, lots of jagged edges, lots of difficulty. And I think that ultimately is going to dissuade huge segments of the population from doing it themselves. They're going to want completed services. They're going to want finish product, at least in some consumable form, for their persona.Corey: What do you think the shaking out of this is going to look like from a cultural perspective? I know that right now everyone's excited, both in terms of excited about the possibility and shrieking that the sky is falling, that is fairly normal for technical cycles. What does the next phase look like?Raj: The next phase, unfortunately, is probably going to be a lot of litigation. I think there's a lot of that on the horizon already. Right? Stability AI's being sued. I think the courts are going to have to decide, is this stuff above board? You know, the fact that these models have been trained on otherwise copywritten data—copywritten images and music and so forth, that amounts to billions of parameters. How does that translate—how does that affect ages of intellectual property law? I think that's a question that—it's an open question. And I don't think we know.Corey: Yeah. I wish, on some level, that we could avoid a lot of the unpleasantness. But you're right. It's going to come down to a lot of litigation, some of which clearly has a point, on some level.Raj: For sure.Corey: But it's a—but that is, frankly, a matter for the courts. I'm privileged that I don't have to sit here and worry about this in quite the same way because I am not someone who makes the majority of my income through my creative works. And I am also not on the other side of it where I've taken a bunch of other people's creative output and use that to train a bunch of models. So, I'm very curious to know how that is going to shake out as a society.Raj: Yeah.Corey: I think that regulation is also almost certainly on the horizon, on some level. I think that tech has basically burned through 25 years of goodwill at this point. And nobody trusts them to self-regulate. And based upon their track record, I don't think they should.Raj: And interestingly, I think that's actually why Google was caught so flat-footed. Google was so afraid of the ramifications of being first and the downside optics of that, that they got a little complacent. And so, they weren't sure how the market would react to saying, “Here's this company that's known for doing lots of, you know, kind of crazy things with people's data. And suddenly they come out with this AI thing that has these huge superpowers.” And how does that reflect poorly on them? But it ended up reflecting poorly on them anyway because they ended up being viewed as being very, very late to market. So, yeah. They got pie on their face one way or the other.Corey: For better or worse, that's going to be one of those things that haunts them. This is the classic example of the innovator's dilemma. By becoming so focused on avoiding downside risk and revenue protection, they effectively let their lunch get eaten. I don't know that there was another choice that they could've made. I'm not sitting here saying, “That's why they're foolish.” But it's painful. If I'm—I'm in the same position right now. If I decide I want to launch something new and exciting, my downside risk is fairly capped. The world is my theoretical oyster. Same with most small companies. I don't know about you, what do you right now as a founder, but over here at The Duckbill Group, at no point in the entire history of this company, going back six years now, have we ever sat down for a discussion around, “Okay. If we succeed at this, what are the antitrust implications?” It has never been on our roadmap. It's—that's very firmly in the category of great problems to have.Raj: Really confident companies will eat their own lunch. So, you in fact see AWS do this all the time.Corey: Yes.Raj: They will have no problem disrupting themselves. And they're lots of data points we can talk about to show this. They will disrupt themselves first because they're afraid of someone else doing it before them.Corey: And it makes perfect sense. Amazon has always had a—I'd call it a strange culture, but that doesn't do it enough of a service just because it feels like compared to virtually any other company on the planet, they may as well be an alien organism that has been dropped into the world here. And we see a fair number of times where folks have left Amazon, and they wind up being so immersed in that culture, that they go somewhere else, and “Ah, I'm just going to bring the leadership principles with me.” And it doesn't work that way. A lot of them do not pan out outside of the very specific culture that Amazon has fostered. Now, I'm not saying that they're good or that they're bad. But it is a uniquely Amazonian culture that they have going on there. And those leadership principles are a key part of it. You can transplant that in the same way to other companies.Raj: Can I tell you one of the funniest things one of these cloud providers has said to me? I'm not going to mention the cloud provider. You may be able to figure out which one anyway, though.Corey: No. I suspect I have a laundry list to go out of these various, ridiculous things I have heard from companies. Please, I am always willing to add to the list. Hit me with it.Raj: So, a cloud provider—a big cloud provider, mine you—told me that they wanted Amazon's culture so bad that they began a thing where during a meeting—before each meeting, everyone would sit quietly and read a paper that was written by someone in the room so they all got on the same page. And that is distinctly an Amazon thing, right? And this is not Amazon that is doing this. This is some other cloud provider. So, people are so desperate for that bit of weirdness that you mentioned inside of Amazon, that they're willing to replicate some of the movements and the behaviors whole cloth hoping that they can get that same level of culture. But it has to be—it has to be organic. And it has to be at the root. You can't just take an arm and stick it onto a body and expect it to work, right?Corey: My last real job before I started this place was at a small, scrappy startup for three months. And then we were bought by an enormous financial company. And one of their stated reasons for doing it was, “Well, we really admire a lot of your startup culture, and we want to, basically, socialize that and adopt that where we are.” Spoiler. This did not happen. It was more or less coming from a perspective, “Well, we visited your offices, and we saw that you had bikes in the entryway and dogs in the office. And well, we went back to our office, and we threw in some bikes and added some dogs, but we didn't get any different result. What's the story here?” It's—you cannot cargo cult bits and pieces of a culture. It has to be something holistic. And let's be clear, you're only ever going to be second best at being another company. They're going to be first place. We saw this a lot in the early-2000s of “We're going to be the next Yahoo.” It's—why would I care about that? We already have original Yahoo. The fortune's faded, but here we are.Raj: Yeah. Agreed.Corey: On our last recording, you mentioned that you would be building this out on top of AWS. Is that how it's panned out? You still are?Raj: For the most part. For the most part. I've dipped my toes into trying to use GPU capacity elsewhere, using things like ECS Anywhere, which is an interesting route. There's some promise there, but there's still lots of jagged edges there too. But for the most part, there's not another cloud provider that really has everything I need from GPU capacity to serverless functions at the edge, to CDNs, to SQL databases. That's actually a pretty disparate set of things. And there's not another cloud provider that has literally all of that except AWS at this point.Corey: So far, positive experience or annoying? Let's put it that way.Raj: Some of it's really, really hard. So, like doing GPUs with generative AI, with containers for instance, is still really, really hard. And the documentation is almost nonexistent. The documentation is wrong. I've actually submitted pull requests to fix AWS documentation because a bunch of it is just wrong. So, yeah. It's hard. Some of it's really easy. Some it's really difficult.Corey: I really want to thank you for taking time to speak about what you're up to over at Perspect. Where can people go to learn more?Raj: www.perspect.com.Corey: And we will of course put a link to that in the [show notes 00:30:02]. Thank you so much for being so generous with your time. I appreciate it.Raj: Any time, Corey.Corey: Raj Bala, Founder at Perspect. I'm Cloud Economist Corey Quinn. And this is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas, if you haven't hated this podcast, please, leave a five-star review on your podcast platform of choice along with an angry, insulting comment that you got an AI generative system to write for you.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.

Joining Mark Rittman for this 100th Episode Special are Keenan Rice (previously Founding Team, GTM Executive at Looker, now GM at Firebolt), Stewart Bryson (previously CEO at Red Pill Analytics, now Head of Customer Experience at Coalesce) and joining us mid-way through the show as our even more special mystery guest, Jake Stein (previously Co-Founder and COO at RJ Metrics, CEO and Co-Founder at Stitch and now CEO and Co-Founder at Common Paper.Drill to Detail Past Episodes discussed on the show were:Drill To Detail Ep.1. 'After The Gartner BI&A Magic Quadrant 2016', With Special Guest Stewart BrysonDrill to Detail Ep.23 ‘Looker, BigQuery and Analytics on Big Data' With Special Guest Daniel MintzDrill to Detail Ep.33 'Building Out Analytics Functions in Startups' With Special Guest Tristan HandyDrill to Detail Ep.71 'The Rise of Snowflake Data Warehouse' With Special Guest Kent GrazianoDrill to Detail Ep.69 'Looker, Tableau and Consolidation in the BI Industry' featuring Special Guests Tristan Handy and Stewart BrysonDrill to Detail Ep.89 'Firebolt and the History of Cloud Data Warehousing' with Special Guest Eldad FarkashDrill to Detail Ep.99 “Is the Modern Data Stack Dead?” with Special Guest Chris TabbOther show notes below:Gartner Makes it Official: The Age of Self-Service Is Upon UsRJMetrics Acquired by Magento Commerce, Pipeline is now StitchThe Startup Founders' Guide to Analytics - Tristan HandyAnalyzing Drill to Detail Podcast Stats using HexGoogle Completes Looker AcquisitionCommon PaperRittman Analytics : How We WorkDrill to Detail Ep.96 'Omni's Mission to Answer the First 100 Questions' with Special Guest Colin ZimaCoalesce : Start Free

Raj Bala, Founder of Perspect, joins Corey on Screaming in the Cloud to chat about his experiences working in the world of cloud and why he made the shift from Gartner Analyst to Founder. Raj asks the question, “Is AWS truly customer-obsessed?” in the face of their business practices, and challenges the common notion that analysts don't need to have lived experience with a product to criticize it. Raj and Corey also explore the absurdity of Azure naming conventions, how cloud providers are creating roadblocks to multi-cloud, and the response of the greater public as cloud providers become more and more powerful. About RajRaj Bala, formerly a VP, Analyst at Gartner, led the Magic Quadrant for Cloud Infrastructure and Platform Services since its inception and led the Magic Quadrant for IaaS before that.  He is deeply in-tune with market dynamics both in the US and Europe, but also extending to China, Africa and Latin America.  Raj is also a software developer and is capable of building and deploying scalable services on the cloud providers to which he wrote about as a Gartner analyst.  As such, Raj is now building Perspect, which is a SaaS offering at the intersection of AI and E-commerce.Raj's favorite language is Python and he is obsessed with making pizza and ice cream. Links Referenced: Perspect: https://perspect.com former2.com: https://former2.com Twitter: https://twitter.com/raj

Carlota Perez is a researcher who has studied hype cycles for much of her career. She's affiliated with the University College London, the University of Sussex, The Tallinn University of Technology in Astonia and has worked with some influential organizations around technology and innovation. As a neo-Schumpeterian, she sees technology as a cornerstone of innovation. Her book Technological Revolutions and Financial Capital is a must-read for anyone who works in an industry that includes any of those four words, including revolutionaries.  Connecticut-based Gartner Research was founded by GideonGartner in 1979. He emigrated to the United States from Tel Aviv at three years old in 1938 and graduated in the 1956 class from MIT, where he got his Master's at the Sloan School of Management. He went on to work at the software company System Development Corporation (SDC), the US military defense industry, and IBM over the next 13 years before starting his first company. After that failed, he moved into analysis work and quickly became known as a top mind in the technology industry analysts. He often bucked the trends to pick winners and made banks, funds, and investors lots of money. He was able to parlay that into founding the Gartner Group in 1979.  Gartner hired senior people in different industry segments to aid in competitive intelligence, industry research, and of course, to help Wall Street. They wrote reports on industries, dove deeply into new technologies, and got to understand what we now call hype cycles in the ensuing decades. They now boast a few billion dollars in revenue per year and serve well over 10,000 customers in more than 100 countries.  Gartner has developed a number of tools to make it easier to take in the types of analysis they create. One is a Magic Quadrant, reports that identify leaders in categories of companies by a vision (or a completeness of vision to be more specific) and the ability to execute, which includes things like go-to-market activities, support, etc. They lump companies into a standard four-box as Leaders, Challengers, Visionaries, and Niche Players. There's certainly an observer effect and those they put in the top right of their four box often enjoy added growth as companies want to be with the most visionary and best when picking a tool. Another of Gartner's graphical design patterns to display technology advances is what they call the “hype cycle”. The hype cycle simplifies research from career academics like Perez into five phases.  * The first is the technology trigger, which is when a breakthrough is found and PoCs, or proof-of-concepts begin to emerge in the world that get press interested in the new technology. Sometimes the new technology isn't even usable, but shows promise.  * The second is the Peak of Inflated Expectations, when the press picks up the story and companies are born, capital invested, and a large number of projects around the new techology fail. * The third is the Trough of Disillusionment, where interest falls off after those failures. Some companies suceeded and can show real productivity, and they continue to get investment. * The fourth is the Slope of Enlightenment, where the go-to-market activities of the surviving companies (or even a new generation) begin to have real productivity gains. Every company or IT department now runs a pilot and expectations are lower, but now achievable. * The fifth is the Plateau of Productivity, when those pilots become deployments and purchase orders. The mainstream industries embrace the new technology and case studies prove the promised productivity increases. Provided there's enough market, companies now find success. There are issues with the hype cycle. Not all technologies will follow the cycle. The Gartner approach focuses on financials and productivity rather than true adoption. It involves a lot of guesswork around subjective, synthetical, and often unsystematic research. There's also the ever-resent observer effect. However, more often than not, the hype is seperated from the tech that can give organizations (and sometimes all of humanity) real productivity gains. Further, the term cycle denotes a series of events when it should in fact be cyclical as out of the end of the fifth phase a new cycle is born, or even a set of cycles if industries grow enough to diverge. ChatGPT is all over the news feeds these days, igniting yet another cycle in the cycles of AI hype that have been prevalent since the 1950s. The concept of computer intelligence dates back to the 1942 with Alan Turing and Isaac Asimov with “Runaround” where the three laws of robotics initially emerged from. By 1952 computers could play themselves in checkers and by 1955, Arthur Samuel had written a heuristic learning algorthm he called “temporal-difference learning” to play Chess. Academics around the world worked on similar projects and by 1956 John McCarthy introduced the term “artificial intelligence” when he gathered some of the top minds in the field together for the McCarthy workshop. They tinkered and a generation of researchers began to join them. By 1964, Joseph Weizenbaum's "ELIZA" debuted. ELIZA was a computer program that used early forms of natural language processing to run what they called a “DOCTOR” script that acted as a psychotherapist.  ELIZA was one of a few technologies that triggered the media to pick up AI in the second stage of the hype cycle. Others came into the industry and expectations soared, now predictably followed by dilsillusionment. Weizenbaum wrote a book called Computer Power and Human Reason: From Judgment to Calculation in 1976, in response to the critiques and some of the early successes were able to then go to wider markets as the fourth phase of the hype cycle began. ELIZA was seen by people who worked on similar software, including some games, for Apple, Atari, and Commodore.  Still, in the aftermath of ELIZA, the machine translation movement in AI had failed in the eyes of those who funded the attempts because going further required more than some fancy case statements. Another similar movement called connectionism, or mostly node-based artificial neural networks is widely seen as the impetus to deep learning. David Hunter Hubel and Torsten Nils Wiesel focused on the idea of convultional neural networks in human vision, which culminated in a 1968 paper called  "Receptive fields and functional architecture of monkey striate cortex.” That built on the original deep learning paper from Frank Rosenblatt of Cornell University called "Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms" in 1962 and work done behind the iron curtain by Alexey Ivakhnenko on learning algorithms in 1967. After early successes, though, connectionism - which when paired with machine learning would be called deep learning when Rina Dechter coined the term in 1986, went through a similar trough of disillusionment that kicked off in 1970. Funding for these projects shot up after the early successes and petered out ofter there wasn't much to show for them. Some had so much promise that former presidents can be seen in old photographs going through the models with the statiticians who were moving into computing. But organizations like DARPA would pull back funding, as seen with their speech recognition projects with Cargegie Mellon University in the early 1970s.  These hype cycles weren't just seen in the United States. The British applied mathemetician James Lighthill wrote a report for the British Science Research Council, which was published in 1973. The paper was called “Artificial Intelligence: A General Survey” and analyzed the progress made based on the amount of money spent on artificial intelligence programs. He found none of the research had resulted in any “major impact” in fields that the academics had undertaken. Much of the work had been done at the University of Edinbourgh and funding was drastically cut, based on his findings, for AI research around the UK. Turing, Von Neumann, McCarthy, and others had either intentially or not, set an expectation that became a check the academic research community just couldn't cash. For example, the New York Times claimed Rosenblatt's perceptron would let the US Navy build computers that could “walk, talk, see, write, reproduce itself, and be conscious of its existence” in the 1950s - a goal not likely to be achieved in the near future even seventy years later. Funding was cut in the US, the UK, and even in the USSR, or Union of the Soviet Socialist Republic. Yet many persisted. Languages like Lisp had become common in the late 1970s, after engineers like Richard Greenblatt helped to make McCarthy's ideas for computer languages a reality. The MIT AI Lab developed a Lisp Machine Project and as AI work was picked up at other schools like Stanford began to look for ways to buy commercially built computers ideal to be Lisp Machines. After the post-war spending, the idea that AI could become a more commercial endeavor was attractive to many. But after plenty of hype, the Lisp machine market never materialized. The next hype cycle had begun in 1983 when the US Department of Defense pumped a billion dollars into AI, but that spending was cancelled in 1987, just after the collapse of the Lisp machine market. Another AI winter was about to begin. Another trend that began in the 1950s but picked up steam in the 1980s was expert systems. These attempt to emulate the ways that humans make decisions. Some of this work came out of the Stanford Heuristic Programming Project, pioneered by Edward Feigenbaum. Some commercial companies took the mantle and after running into barriers with CPUs, by the 1980s those got fast enough. There were inflated expectations after great papers like Richard Karp's “Reducibility among Combinatorial Problems” out of UC Berkeley in 1972. Countries like Japan dumped hundreds of millions of dollars (or yen) into projects like “Fifth Generation Computer Systems” in 1982, a 10 year project to build up massively parallel computing systems. IBM spent around the same amount on their own projects. However, while these types of projects helped to improve computing, they didn't live up to the expectations and by the early 1990s funding was cut following commercial failures. By the mid-2000s, some of the researchers in AI began to use new terms, after generations of artificial intelligence projects led to subsequent AI winters. Yet research continued on, with varying degrees of funding. Organizations like DARPA began to use challenges rather than funding large projects in some cases. Over time, successes were found yet again. Google Translate, Google Image Search, IBM's Watson, AWS options for AI/ML, home voice assistants, and various machine learning projects in the open source world led to the start of yet another AI spring in the early 2010s. New chips have built-in machine learning cores and programming languages have frameworks and new technologies like Jupyter notebooks to help organize and train data sets. By 2006, academic works and open source projects had hit a turning point, this time quietly. The Association of Computer Linguistics was founded in 1962, initially as the Association for Machine Translation and Computational Linguistics (AMTCL). As with the ACM, they have a number of special interest groups that include natural language learning, machine translation, typology, natural language generation, and the list goes on. The 2006 proceedings on the Workshop of Statistical Machine Translation began a series of dozens of workshops attended by hundreds of papers and presenters. The academic work was then able to be consumed by all, inlcuding contributions to achieve English-to-German and Frnech tasks from 2014. Deep learning models spread and become more accessible - democratic if you will. RNNs, CNNs, DNNs, GANs.  Training data sets was still one of the most human intensive and slow aspects of machine learning. GANs, or Generative Adversarial Networks were one of those machine learning frameworks, initially designed by Ian Goodfellow and others in 2014. GANs use zero-sum game techniques from game theory to generate new data sets - a genrative model. This allowed for more unsupervised training of data. Now it was possible to get further, faster with AI.  This brings us into the current hype cycle. ChatGPT was launched in November of 2022 by OpenAI. OpenAI was founded as a non-profit in 2015 by Sam Altman (former cofounder of location-based social network app Loopt and former president of Y Combinator) and a cast of veritable all-stars in the startup world that included:  * Reid Hoffman, former Paypal COO, LinkedIn founder and venture capitalist. * Peter Thiel, former cofounder of Paypal and Palantir, as well as one of the top investors in Silicon Valley. * Jessica Livingston, founding partner at Y Combinator. * Greg Brockman, an AI researcher who had worked on projects at MIT and Harvard OpenAI spent the next few years as a non-profit and worked on GPT, or Generative Pre-trained Transformer autoregression models. GPT uses deep learning models to process human text and produce text that's more human than previous models. Not only is it capable of natural language processing but the generative pre-training of models has allowed it to take a lot of unlabeled text so people don't have to hand label weights, thus automated fine tuning of results. OpenAI dumped millions into public betas by 2016 and were ready to build products to take to market by 2019. That's when they switched from a non-profit to a for-profit. Microsoft pumped $1 billion into the company and they released DALL-E to produce generative images, which helped lead to a new generation of applications that could produce artwork on the fly. Then they released ChatGPT towards the end of 2022, which led to more media coverage and prognostication of world-changing technological breakthrough than most other hype cycles for any industry in recent memory. This, with GPT-4 to be released later in 2023. ChatGPT is most interesting through the lens of the hype cycle. There have been plenty of peaks and plateaus and valleys in artificial intelligence over the last 7+ decades. Most have been hyped up in the hallowed halls of academia and defense research. ChatGPT has hit mainstream media. The AI winter following each seems to be based on the reach of audience and depth of expectations. Science fiction continues to conflate expectations. Early prototypes that make it seem as though science fiction will be in our hands in a matter of weeks lead media to conjecture. The reckoning could be substantial. Meanwhile, projects like TinyML - with smaller potential impacts for each use but wider use cases, could become the real benefit to humanity beyond research, when it comes to everyday productivity gains. The moral of this story is as old as time. Control expectations. Undersell and overdeliver. That doesn't lead to massive valuations pumped up by hype cycles. Many CEOs and CFOs know that a jump in profits doesn't always mean the increase will continue. Some intentially slow expectations in their quarterly reports and calls with analysts. Those are the smart ones.

Welcome to IoT Coffee Talk #134 where we have a chat about all things IoT over a cup of coffee or two with some of the industry's leading business minds, thought leaders and technologists in a totally unscripted, organic format. Thanks for joining us. Sit back with a cup of Joe and enjoy the morning banter. Marc, Bill, Rob, and Leonard jump on the Zoom siloverse to talk about Rob's Waterworld strategy for saving humanity, or at least a few of us, as global warming threatens to shift populations as regions of our planet either get swallowed up by the oceans, or become perennial fire and drought zones. While billions if not trillions will be spent on traveling to Mars to create an option for humanity, what about the next frontier right on our planet? The oceans? We also talk about industry events and getting the most out of them. Why we need details (not high level diagrams) to make things happen. Why Industry 4.0 has lost its relevance. The Magic Quadrant, does it work for Industrial IoT? The gang considers creating an IoT Coffee Quadrant. Are you in?Thanks for listening to us! Watch episodes at http://iotcoffeetalk.com/. Your hosts include Leonard Lee, Stephanie Atkinson, Marc Pous, David Vasquez, Rob Tiffany, Bill Pugh, Rick Bullotta and special guests. We support Elevate Our Kids to bridge the digital divide by bringing K-12 computing devices and connectivity to support kids' education in under-resourced communities. Please donate.

On today's episode, we are joined by Tim Truelove, the Country Manager of Wildix in the Americas. We dive into what Wildix is, and how it's helping partners optimize their business communications through unified communication solutions saving hours of overtime, money, and improving productivity. Tim also comments on their recent awards and recognitions such as being positioned by Gartner in the Magic Quadrant for UCaaS for the second year in a row, and their solution, X-Hoppers, awarded ‘Best Emerging Technology Breakthrough' in the 2022 Vision Spotlight Awards. Tim discusses the 2023 UC&C Summit taking place on January 17th for current and potential partners. This live streaming will touch base on overcoming the scarcity of new business opportunities and protecting the business by moving to a sustainable, channel-led only solution. Make sure you register to this year's Summit at: https://www.wildix.com/ to find out more about their solutions and business opportunities!

Today on the 4.0 Solutions Podcast, hosted by 4.0 Solutions, topics covered will be the hypocrisy of Gartner's Magic Quadrant, the problem with deceptive influencers, and answering your questions Thanks for watching! YouTube

In this episode: Lauren Hawker Zafer is joined by Andreas Blumauer Who Can Benefit From This Conversation? This conversation is for anyone who wants to understand what knowledge graphs are and how graph technologies are used. The conversation will help you learn more about building recommender systems with unstructured data and knowledge graph use cases. Andreas also goes in to depth about the role of a taxonomy and an ontology in knowledge graph use cases. Who is Andreas? Andreas Blumauer is CEO and co-founder of Semantic Web Company (SWC), the provider and developer of the PoolParty Semantic Platform. With headquarters in Vienna, Austria, but operating globally, SWC has worked with over 200 commercial, government, and non-profit organizations to deliver AI and semantic search solutions, knowledge platforms, content hubs, and related data modeling and integration services. SWC was named to KMWorld's prestigious list of “100 Companies that Matter in Knowledge Management” from 2016 to 2021 and has been named multiple times in Gartner's Magic Quadrant for Metadata Management Solutions and as a Sample Vendor in their Hype Cycle for Natural Language Technologies. In his role as CEO, Andreas is responsible for both the strategic growth of the company and its organizational evolution toward a highly focused customer orientation. SWC has grown every year since its inception under his leadership, and has been able to develop a cutting-edge and unique software platform that is ISO 27001 certified, and deployed globally across a number of key industries. REDEFINING AI is powered by The Squirro Academy - learn.squirro.com. Try our free courses on AI, ML, NLP and Cognitive Search at the Squirro Academy and find out more about Squirro here.

A former Forrester analyst and a former Gartner analyst talk about the market and a variety of topics. Is it a good idea for layoffs to be taking place right now in cyber as the economy takes a dive? How will that affect our collective security? What should you know about analyst reports like the Wave or the Magic Quadrant? Does security product bloat actually hurt operational capabilities? Should automation be everywhere? How does strategy start, and where? Why do customers still run towards point solutions, rather than broader strategic offerings? What about the new book "The Art of Selling Cybersecurity"? Those questions and more on this one.

  Show Notes Disruptive CEO Nation Podcast with Allison K. Summers Episode 165 Dorian founded Squirro ten years ago, a company that focuses on building insight engines for financial institutions, to aid them in the process of analyzing and working with unstructured data. In the past ten years Squirro has established itself as a successful competitor in the industry and has been recognised by Gartner as a Visionary in their Magic Quadrant report. Apart from winning numerous awards such as; the Big Innovation AI Excellence Award, the SEF4KMU Label by the Swiss Economic Forum and many more, Squirro is also proud to count the likes of Bank of England, European Central Bank and Standard Chartered to its clients.   Dorian himself has been selected among the top 100 Digital Shapers in Switzerland for the past three years and therefore was inducted into the “Hall of Fame'' by Bilanz & Le Temps. Dorian has also been named among the top 30 Digital Leaders in Switzerland. For his entire professional career Dorian has looked for ways to innovate industries and has done this fortuitously with other companies he has founded such as, Local.ch and Memonic.   In our conversation, Dorian Selz explains:   -       Dorian's marketing strategy for Squirro -       Dorian's best advice for a startup leader or business builder. -       How one can invest in sustainable development funds Be sure to check out Dorian's listed below. Enjoy the show! Connect with Dorian: Website- https://squirro.com/about/ LinkedIn- https://www.linkedin.com/in/dselz/   Connect with Allison: Website: allisonksummers.com #tech #SAAS # business #designthinking #AI #creativesociety #teambuilding #CEO #startup #startupstory #founder #futureofwork    Learn more about your ad choices. Visit megaphone.fm/adchoices

NetSuite wasted no time making significant product announcements at its annual SuiteWorld conference. First, Oracle NetSuite unveiled NetSuite AP Automation which embeds banking services into a cloud ERP system to help organizations improve profitability by making it easier and faster to process bills and pay vendors all from within NetSuite. NetSuite went on to announce NetSuite CPQ to enable sales teams to quickly configure, price, and quote complex products with complete accuracy and reliability, directly in NetSuite. Next, NetSuite demonstrated its commitment to improving warehouse operations with the release of NetSuite Ship Central, a mobile application that helps organizations optimize operations, eliminate manual processes, and accelerate customer deliveries, while equipping warehouse workers with packing and shipping capabilities on a mobile or kiosk device. Finally, NetSuite announced updates to NetSuite Analytics Warehouse, simplifying data management, accelerating time to insights, and providing access to more pre-built third-party data integrations and industry-specific content. Gartner released its Magic Quadrant for Cloud ERP for Product-Centric Enterprises. Within the leader quadrant, Oracle Fusion Cloud ERP, Workday, SAP S/4HANA, and Oracle NetSuite have secured their positions. Microsoft Dynamics 365 and Infor settled into the visionaries quadrant, and finally, the niche players quadrant is concentrated with SAP Business ByDesign, Sage Intacct, Microsoft Dynamics 365 Business Central, and FinancialForce. UKG announced the company has been named the overall Winner in its category for the AnitaB.org 2022 Top Companies for Women Technologists, landing the highest overall score of any company with 1,000-10,000 technical employees. In a separate honor, UKG also earned a “Social Impact” award from Ragan for its UKG Close the Gap Initiative, aimed at reaching pay equity in the workplace, with UKG pledging to continue to invest in education, training, and the technology and tools needed to ensure equity of pay, both internally for UKG and its customers.https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

OneReach featured as a Leader in Gartner's Magic Quadrant for Enterprise Conversational AI platforms this year. However, when compared to other platforms out there, there's something distinctly different about the OneReach approach.Yes, there's a big focus on conversational AI technologies, however, there's just as much (if not more) focus on business process automation. The types of use cases the platform enables are truly transformative and we could all learn a lot about the OneReach automation and AI philosophy. And that's what we're going to do today, with Kevin Fredrick, Managing Partner, OneReach.Buckle up.Up your CX maturity in this free workshop with yours truly and Cognigy. Find out more: https://vux.world/cognigyFind out more about VUX @ VOICE22 presented by Kore AI: www.voicesummit.ai and save 20% on tickets with the code VUX20 Our GDPR privacy policy was updated on August 8, 2022. Visit acast.com/privacy for more information.

Digital commerce expert Spryker recently released research into the grocery shopping habits of 2,500 UK consumers. The company found that 60% of UK consumers now order their groceries online, and 16% now do most of their food shopping via the internet. With the cost-of-living crisis shrinking consumers' budgets, shoppers at low-cost supermarkets are crying out for online services from the likes of Aldi and LIDL – with almost half (43%) of consumers keen to see their low-cost providers operate online. Other findings include: Spryker CEO and co-founder Boris Lokschin reveals more findings from the report with me as we explore the broader trends in the digital grocery space – such as checkout-less shopping and Q-commerce apps. About Spryker Spryker is a composable digital commerce platform that enables enterprises to future-proof their business and accelerate growth at any point in their commerce journey. Spryker's headless, API-first model allows companies to adapt, scale, and quickly go to market while facilitating a lower cost of ownership and higher return on investment. As a leading platform for Enterprise Marketplaces, IoT Commerce, B2B, and D2C, Spryker has empowered 150+ customers in more than 200 countries worldwide to differentiate based on how they sell best and is trusted by brands such as Aldi, Siemens, Hilti, and Ricoh. Gartner® recognized Spryker as a Visionary in the 2021 Magic Quadrant™ for Digital Commerce, just one year after it first appeared (2020), and it has also been named a major player in B2B e-Commerce by IDC. Spryker is a privately held technology company headquartered in Berlin, Germany, and New York, USA.

So much of the focus of the analytics and vendor community today is on data. We have solutions for data visualization, warehousing, observability, cataloging, transformations, and more. But data is nothing without context. So why does metadata tend to draw the short straw? In this episode, Tim, Juan, and Sanjeev Mohan, former Gartner analyst and principal at SanjMo, explore how metadata acts as a proverbial travel guide for your data and analytics journey. This episode will also cover: Visions of a data catalog, the ordinary and profound Who needs lineage and why In the Magic Quadrant of summer foods, what goes in the leaders quadrant, and what's in niche?

Many security leaders refer to Gartner's Magic Quadrant to decide on which security tool to purchase and deploy to secure their environments. The question then is whether it's good enough to just look at the quadrant the tool is in to guide your decision. What other factors should you consider? Tune in to this episode of Ask A CISO to hear:

In this TCP Talks episode, Justin Brodley and Jonathan Baker talk with Anthony Lye, Executive Vice President and General Manager of NetApp's Public Cloud Services Business Unit. An industry veteran for over 25 years, Anthony has been at the forefront of cloud innovation for over half this time. Anthony shares his insight on the importance of embracing disruption in the tech industry. He discusses how NetApp seized the right opportunities, got lucky, and came to dominate the Cloud space — even while younger app developers may have no idea what it was. "They don't comprehend — nor should they — the complexities of infrastructure,” Anthony explains. “And I really love the fact that we've been able to democratize ONTAP, because it's cool, but you've got to be really smart to get the best out of it. And so we just decided we would be the smart ones.” What's really behind innovation in tech? “The context is where you are. And people like to think that the world operates through evolution. And sometimes it's revolution –- sometimes, you have to do something radically different.” Anthony also discusses cloud computing trends, the importance of customer focus, what NetApp does differently, and the multi-cloud. Featured Guest

This bonus episode features an interview with Steve Riley, Field CTO of Netskope. Steve is a widely-renowned expert speaker, author, researcher, and analyst. Prior to Netskope Steve came from Gartner, where for five years he maintained a collection of cloud security research that included the Magic Quadrant for Cloud Access Security Brokers and the Market Guide for Zero Trust Network Access.On this episode, Steve elaborates on his background as it pertains to being an analyst at Gartner, the exciting future of SSE, and so much more. -----------------"The benefits of SSE, or security service edge and a SASE journey is very clear. It's the first time, to me its the perfect reset for security. They get to move the majority of their inspection points closer to the user, closer to the data, they get to move it out of the data center and into the cloud, where it can be applied everywhere their data goes, everywhere the user goes." - Steve Riley-----------------Episode Timestamps:*(0:40) - Steve's background*(2:50) - Avoiding boredom*(6:29) - Huge announcement*(11:13) - The moment that helped drive this new change*(18:22) - The difference between SSE vs. SAS*(21:55) - All things SSE*(24:51) - Surprises with the new MQ*(28:00) - What Steve loved/ddin't love about publishing MQ*(31:34) - The future of SSELinksConnect with Steve on LinkedInJason Clark's LinkedInwww.netskope.com