How good are humans at distinguishing between human-generated thoughts and AI-generated…thoughts? Could doing an extremely unscientific exploration of the question also generate some useful discussion? We decided to dig in and find out with a show recorded in front of a live audience at Marketing Analytics Summit in Phoenix! With Michael in the role of Peter Sagal, Julie, Tim, and Val went head-to-GPU by answering a range of analytics-oriented questions. Two co-hosts delivered their own answers, and one co-host delivered ChatGPT's, and the audience had to figure out which was which. Plus, a bit of audience Q&A, which included Michael channeling his inner Charlie Day! This episode also features the walk-on music that was written and performed live by Josh Silverbauer (no relation to Josh Crowhurst, the producer of this very podcast who also wrote and recorded the show's standard intro music; what is it about guys named Josh?!). For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the  show page.

In the past 18 months, artificial intelligence has not just entered our workspaces – it has taken over. As we stand at the crossroads of innovation and automation, it’s time for a candid reflection on how AI has reshaped our professional lives, and to talk about where it’s been a game changer, where it’s falling short, and what’s about to shift dramatically in the short term. Since the release of ChatGPT in December 2022, I’ve developed a “first-reflex” to augment and accelerate nearly every task with AI. As a founder and CEO, this spans a wide array of responsibilities from fundraising, internal communications, legal, operations, product marketing, finance, and beyond. In this keynote, I’ll cover diverse use cases across all areas of business, offering a comprehensive view of AI’s impact. Join me as I sort out through this new reality and try and forecast the future of AI in our work. It’s time for a radical checkpoint. Everything’s changing fast. In some areas, AI has been a slam dunk; in others, it’s been frustrating as hell. And once a few key challenges are tackled, we’re on the cusp of a tsunami of transformation. 3 major milestones are right around the corner: top-human-level reasoning, solid memory accumulation and recall, and proper executive skills. How is this going to affect all of us?

Having a strong personal brand is one of the best things you can do to stand out from your competition in today's difficult job market.    In this episode, you'll learn why brand building should be at the top of your list, and more importantly, hear actionable tips that you can use to make progress right away.    We'll be sharing some of the best strategies, actionable advice, and personal anecdotes from two of the best personal brand builders in data, Kate Strachnyi and Kristen Kehrer.

You'll leave with a concrete path to building your brand and accelerating your career, starting today. What You'll Learn: Why personal brands matter more than ever in 2024 What a strong personal brand looks like How to start building your personal brand online   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guests: As the founder of DATAcated, Kate Strachnyi helps companies amplify their brand and expertise in artificial intelligence, machine learning, and data science. Kate is a content creator with over 200k followers across LinkedIn, YouTube, Instagram, and other platforms. She also runs a DATAcated Plus program with 25+ influencers that can be hired to 'make a spash' on social media.  As a marketing and branding expert, Kate has been recognized as a LinkedIn Top Voice in Data Science and Analytics for 2018 and 2019, and as a DataIQ USA100 for 2022. Kate is also the author of ColorWise: A Data Storyteller's Guide to the Intentional Use of Color.  https://www.datacated.com/brand-builder     Kristen Kehrer has been providing innovative & practical statistical modeling solutions in the utilities, healthcare, and eCommerce sectors since 2010. Alongside her professional accomplishments, she achieved recognition as a LinkedIn Top Voice in Data Science & Analytics in 2018. Kristen is also the founder of Data Moves Me, LLC, and has previously served as a faculty member and subject matter expert at the Emeritus Institute of Management and UC Berkeley Ext.

 Kristen lights up on stage and has spoken at conferences like ODSC, DataScienceGO, BI+Analytics Conference, Boye Conference, and Big Data LDN, etc.

She holds a Master of Science degree in Applied Statistics from Worcester Polytechnic Institute and a Bachelor of Science degree in Mathematics.

https://www.datamovesme.com/   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Send us a text This is always a good interview; an interview from last year with Dr. Mindy Weinstein discussing how we try to reach humans through digital marketing, and the power of scarcity. I am reminded of this concept every time I look at the resell price of Taylor Swift tickets.

Marketing : The Power of Scarcity with Mindy Weinstein, Founder and CEO of Market MindShift, Marketing instructor for Grand Canyon University, Columbia Business School, and Wharton. "Trying to reach humans" through digital marketing. Original episode season 7 Episode 5. 01:41 Meet "Marketer" Mindy Weinstein04:42 Technology in Marketing07:50 One of the top women in digital marketing09:12 The power of scarcity19:16 Four types of scarcity20:41 Bourbon scarcity21:47 Businesses leveraging scarcityLinkedIn: linkedin.com/in/mindydweinstein Website: https://www.persuasioninbusiness.com/book, https://www.marketmindshift.com/

Summary of Dr. Weinstein's book: Drive revenue and grow your business by using the powerful concept of scarcity Scarcity isn't just one of the key principles of influence, it's arguably the most powerful―invoking the kind of primal instincts that were essential to our ancestors' survival. It's also the explanation for why, in the mid-1990's, $29.99 Tickle-Me-Elmo dolls were being scalped for $7,000 apiece. And yet, for all its power, scarcity is a principle that's little understood, even as it's frequently employed in sales and marketing campaigns. Research on scarcity is published mainly in academic journals, not easily accessible to the mainstream public, and often written from an economic, rather than psychological, point of view. In The Power of Scarcity, Dr. Mindy Weinstein leverages her deep expertise in both marketing and psychology to reveal how this influence principle can be used to boost sales, win negotiations, spark action, develop community, build customer loyalty, and more. As a digital marketer and doctor of philosophy in psychology, she brings both practical and academic insights to explain the psychology behind scarcity, why it has such an immense impact on decision making, and how, used correctly and ethically, it can influence the people who buy your products or services. In these pages, you'll gain a deeper understanding of why and how scarcity works in business, and specifically how different types of scarcity messages―supply related, demand related, time related or limited edition―affect our brains. You'll see it in action from multiple perspectives, through case studies, research findings, and eye-opening interviews with current and former executives (from brands that include McDonald’s, Harry & David, and 1-800-Flowers), as well as real-life customers' firsthand experiences. For anyone involved in sales and marketing today, The Power of Scarcity is a rare find, combining the best research on the subject as well as hands-on, tactical ways to apply the psychology behind it to knowledgeably harness that power to bolster your business. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Professional development is a big topic—way more than just thinking about what job you want in five years and setting milestones along the way. Thankfully we had Helen Crossley, Senior Director of Marketing Science at Meta, join Michael, Moe, and Val to dive deep into this topic! We explored how to set really good, meaningful goals, the challenges across each stage from junior analyst to leader, and how to give great feedback. We also spent quite a bit of time discussing the new challenges that becoming a first-time manager presents and, hopefully, some helpful tips and thought exercises to help out our listeners who are or are about to be faced with this challenge. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Send us a text Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. Datatopics Unplugged is your go-to spot for relaxed discussions around tech, news, data, and society. Dive into conversations that should flow as smoothly as your morning coffee (but don't), where industry insights meet laid-back banter. Whether you're a data aficionado or just someone curious about the digital age, pull up a chair, relax, and let's get into the heart of data, unplugged style!

In this episode we are joined by Christophe Beke, where we discuss the following: Meta identifies networks pushing deceptive content likely generated by AI: Unpacking Meta’s discovery of AI-generated deep fakes used in political scams and phishing attacks.Klarna using GenAI to cut marketing costs by $10 million annually: Exploring how Klarna leverages generative AI to save on marketing costs and the broader impact of AI-generated content on branding and creativity.Apple and OpenAI partnership rumors: Speculating on Apple’s potential partnership with OpenAI and what this partnership mean for Siri and user privacy.Even the Raspberry Pi is getting in on AI: Exciting new AI capabilities for the Raspberry Pi and the privacy questions they raise. Plus discussion on windows screenshot tools & more privacy concerns.Nvidia teases next-gen “Rubin” AI chips: Nvidia’s surprising early reveal of their next-gen AI chips—what’s behind the move?Marker: A new tool for converting PDFs to Markdown: Discovering the Marker library and its perks for converting PDFs while keeping valuable metadata.Signal EU Market Exit: The privacy-focused app’s decision to leave the EU market over regulatory challenges and the broader debate on privacy vs. security.Reframing ‘tech debt’: Fresh perspectives on managing technical debt in the fast-paced world of software development.Our newsletter: Don’t miss out! Subscribe to our data and AI newsletter for the latest headlines and insights.

On this podcast episode of Data Unchained, Shiraz Ritwik, Head of Growth at LatentView Analytics, joins us to discuss how he and his company are help get clean data for marketing campaigns, using data analytics to launch AI initiatives, and merging data sets to get insights on all platforms. www.latentview.com

data #podcast #ai #artificialintelligence #datascience #datasets #podcast #podcasts #podcasting #lifescience #datastorage

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Welcome back! In today's solo episode, I share the top five struggles that enterprise SAAS leaders have in the analytics/insight/decision support space that most frequently leads them to think they have a UI/UX design problem that has to be addressed. A lot of today's episode will talk about "slow creep," unaddressed design problems that gradually build up over time and begin to impact both UX and your revenue negatively. I will also share 20 UI and UX design problems I often see (even if clients do not!) that, when left unaddressed, may create sales friction, adoption problems, churn, or unhappy end users. If you work at a software company or are directly monetizing an ML or analytical data product, this episode is for you! 

Highlights/ Skip to 

I discuss how specific UI/UX design problems can significantly impact business performance (02:51) I discuss five common reasons why enterprise software leaders typically reach out for help (04:39) The 20 common symptoms I've observed in client engagements that indicate the need for professional UI/UX intervention or training (13:22) The dangers of adding too many features or customization and how it can overwhelm users (16:00) The issues of integrating  AI into user interfaces and UXs without proper design thinking  (30:08) I encourage listeners to apply the insights shared to improve their data products (48:02)

Quotes from Today’s Episode “One of the problems with bad design is that some of it we can see and some of it we can't — unless you know what you're looking for." - Brian O’Neill (02:23) “Design is usually not top of mind for an enterprise software product, especially one in the machine learning and analytics space. However, if you have human users, even enterprise ones, their tolerance for bad software is much lower today than in the past.” Brian O’Neill - (13:04) “Early on when you're trying to get product market fit, you can't be everything for everyone. You need to be an A+ experience for the person you're trying to satisfy.” -Brian O’Neill (15:39) “Often when I see customization, it is mostly used as a crutch for not making real product strategy and design decisions.”  - Brian O’Neill (16:04)  "Customization of data and dashboard products may be more of a tax than a benefit. In the marketing copy, customization sounds like a benefit...until you actually go in and try to do it. It puts the mental effort to design a good solution on the user." - Brian O’Neill (16:26) “We need to think strategically when implementing Gen AI or just AI in general into the product UX because it won’t automatically help drive sales or increase business value.” - Brian O’Neill (20:50)  “A lot of times our analytics and machine learning tools… are insight decision support products. They're supposed to be rooted in facts and data, but when it comes to designing these products, there's not a whole lot of data and facts that are actually informing the product design choices.” Brian O’Neill - (30:37) “If your IP is that special, but also complex, it needs the proper UI/UX design treatment so that the value can be surfaced in such a way someone is willing to pay for it if not also find it indispensable and delightful.” - Brian O’Neill (45:02)

Links The (5) big reasons AI/ML and analytics product leaders invest in UI/UX design help: https://designingforanalytics.com/resources/the-5-big-reasons-ai-ml-and-analytics-product-leaders-invest-in-ui-ux-design-help/  Subscribe for free insights on designing useful, high-value enterprise ML and analytical data products: https://designingforanalytics.com/list  Access my free frameworks, guides, and additional reading for SAAS leaders on designing high-value ML and analytical data products: https://designingforanalytics.com/resources Need help getting your product’s design/UX on track—so you can see more sales, less churn, and higher user adoption? Schedule a free 60-minute Discovery Call with me and I’ll give you my read on your situation and my recommendations to get ahead:https://designingforanalytics.com/services/

Speedily adopting new technologies can give your business a competitive advantage, but with so much happening in the world of generative AI, it's difficult to know what to adopt. In this episode, Richie chats to two venture capitalists to get their view on the global AI landscape, where we are in the AI hype cycle, and how to adopt AI tech. Beyond this, we explore Rocketship.vc's use of data and algorithms to make investment decisions in early-stage startups. If our previous episode’s deep dive into 2024’s data & AI trends with VC Tom Tunguz got you excited about how investors are looking at the market at the moment, then this episode is sure to do the same. This time, we have twice the insight, thanks to our two guests. Madhu Shalini Iyer is a Managing Partner at Rocketship.vc, a Silicon Valley based fund investing globally. She was the Chief Data Officer of Gojek and helped grow the business into a $10 billion unicorn. In addition to being a board member, she started the Singapore office and played an active role in the strategy, new business development, and ‘data as a competitive advantage’. Prior to Gojek, Madhu was part of the founding team of Intuit’s Quickbooks Lending Platform. As the data science leader at Intuit, Madhu helped grow the platform to $300 million and holds 2 patents in the areas of user data augmented algorithms for financial inclusion. Madhu was also the Chief Data Officer for Ethoslending. There she built the underwriting platform and was responsible for all b2c revenue, resulting in $65 million gross market value per month. Madhu was further responsible for building and running the marketing team. Prior, Madhu was a partner at a $150m private equity fund, Stem Financial, in Hong Kong. She started her career as a senior data scientist with a leading think tank in Menlo Park, CA. Sailesh Ramakrishnan is also a Managing Partner at Rocketship.vc. Prior to Rocketship.vc, Sailesh was CTO and co-founder of LocBox (acquired by Square), a startup focussed on marketing for local businesses. Sailesh worked with Anand and Venky at their previous startup Kosmix, and continued on to Walmart as a Director of Engineering at @WalmartLabs. Before jumping into the startup world, Sailesh worked as a Computer Scientist at NASA Ames Research Center. Sailesh earned his Bachelors degree in Civil Engineering from IIT Madras, his Masters degree in Construction Management from Virginia Tech and another Master degree in Intelligent Systems from University of Pittsburgh. He was a Ph.D. candidate in Artificial Intelligence at the University of Michigan. In the episode, Richie, Madhu and Sailesh explore the generative AI revolution, categorizing generative AI tools, the impact of genAI across industries, investment philosophy and data-driven decision-making, the challenges and opportunities when investing in AI, future trends and predictions, regulatory and ethical considerations of AI, and much more.  Links Mentioned in the Show: Rocketship.vc[Course] Implementing AI Solutions in BusinessRelated Episode: Inside Algorithmic Trading with Anthony Markham, Vice President, Quantitative Developer at Deutsche BankSign up to RADAR: AI Edition New to DataCamp? Learn on the go using thea href="https://www.datacamp.com/mobile" rel="noopener noreferrer"...

Countless companies invest in their data quality, but often, the effort from their investment is not fully realized in the output. It seems like, despite the critical importance of data quality, data governance might be suffering from a branding issue. Data governance is sometimes looked at as the data police, but this is far from the truth. So, how can we change perspectives and introduce fun into data governance? Tiankai Feng is a Principal Data Consultant and Data Strategy & Data Governance Lead at Thoughtworks, He also works part-time as the Head of Marketing at DAMA Germany. Tiankai has had many data hats in his career—marketing data analyst, data product owner, analytics capability lead, and data governance leader for the last few years. He has found a passion for the human side of data—how to collaborate, coordinate, and communicate around data. TIankai often uses his music and humor to make data more approachable and fun. In the episode, Adel and Tiankai explore the importance of data governance in data-driven organizations, the challenges of data governance, how to define success criteria and measure the ROI of governance initiatives, non-invasive and creative approaches to data governance, the implications of generative AI on data governance, regulatory considerations, organizational culture and much more.  Links Mentioned in the Show: Tiankai’s YouTube ChannelData Governance Fundamentals Cheat Sheet[Webinar] Unpacking the Fun in Data Governance: The Key to Scaling Data Quality[Course] Data Governance ConceptsRewatch sessions from RADAR: The Analytics Edition New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business

This IBM® Redpaper® Product Guide publication describes the IBM Storage FlashSystem® 5200 solution, which is a next-generation IBM Storage FlashSystem control enclosure. It is an NVMe end-to-end platform that is targeted at the entry and midrange market and delivers the full capabilities of IBM FlashCore® technology. It also provides a rich set of software-defined storage (SDS) features that are delivered by IBM Storage Virtualize, including the following features: Data reduction and deduplication Dynamic tiering Thin provisioning Snapshots Cloning Replication Data copy services Transparent Cloud Tiering IBM HyperSwap® including 3-site replication for high availability (HA) Scale-out and scale-up configurations further enhance capacity and throughput for better availability. The IBM Storage FlashSystem 5200 is a high-performance storage solution that is based on a revolutionary 1U form factor. It consists of 12 NVMe Flash Devices in a 1U storage enclosure drawer with full redundant canister components and no single point of failure. It is designed for businesses of all sizes, including small, remote, branch offices and regional clients. It is a smarter, self-optimizing solution that requires less management, which enables organizations to overcome their storage challenges. Flash has come of age and price point reductions mean that lower parts of the storage market are seeing the value of moving over to flash and NVMe--based solutions. The IBM Storage FlashSystem 5200 advances this transition by providing incredibly dense tiers of flash in a more affordable package. With the benefit of IBM FlashCore Module compression and new QLC flash-based technology becoming available, a compelling argument exists to move away from Nearline SAS storage and on to NVMe. This Product Guide is aimed at pre-sales and post-sales technical support and marketing and storage administrators.

Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science. Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape. Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative. Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.

Send us a text Part 1.  Getting to know Cody Schneider, co-founder of Swell AI and Drafthorse AI : two AI content creation platforms helping businesses scale content production.  Consider this an early stage founder discussion.   It starts with Marketing and builds to where AI is being used today. 01:31 Meet Cody Schneider05:27 Differentiating a 2x406:52 Avid Skier10:41 Early Stage Startups?13:27 Swell AI15:00 Differentiation using AI18:35 Monetization Strategy21:42 The Billion $ Company of One24:22 Marking AI Tools26:30 Foundational Models27:26 AI Training AffordabilityLinkedIn: linkedin.com/in/codyxschneider Website: https://www.swellai.com/, https://www.drafthorseai.com/ Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

I have expertise in program management, product development, product management, user experience, business development, and digital marketing.

Send us a text Toby Coulthard, CPO at Phrasee talks to Marketing Tech as the interface between human psychology and technology.  Phrasee is a marketing platform that leverages generative AI for natural language generation, optimizing content at scale for enterprise clients such as Walgreens, Macy’s, Currys, and more. 01:21 Meet Toby Coulthard 05:46 MarTech06:43 Chief Product Officer at Phrasee10:02 LLMs in MarTech10:56 Tools at Phrasee12:21 Client References 17:00 The Marketing Journey 20:50 What Model Then???22:22 "Winning a Campaign"29:54 Phrasee Differentiation32:43 Marketing of the Future39:29 For FunLinkedIn: https://www.linkedin.com/in/toocou/ Website: https://phrasee.co/ Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

AI-generated live images are a game-changer for enterprises. Whether it is advertising, marketing, e-commerce, or entertainment, live images can help you create more appealing, engaging, and personalized customer experiences and forever change how you interact with your consumers. Text-to-live image and capabilities can help create more compelling stories, immersive visuals, and amazing content. Attend this session and learn how Vertex AI can help you create the next generation of customer delight.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Move past simple automation and unlock the true potential of generative AI to transform the core industry value chain processes like product development, supply chain optimization, and hyper-personalized marketing. Dive into real-world case studies, engage with live demos, and participate in dynamic discussions. Gain actionable insights and a strategic roadmap to leverage generative AI's disruptive potential for competitive advantage. Don't just automate. Redefine and transform your industry value chains with us. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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This interactive Q&A session provides a unique opportunity to engage with the minds behind GenAI innovations in marketing and website modernization. Directly converse with the creators and client teams who are using these solutions to drive significant business outcomes, offering insights into practical applications and success stories. Join us for this Mini Talk at 'Meet the Experts, hosted by Google Cloud Consulting' at Expo. Seating is limited and on a first-come, first served basis; standing areas are available.

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WPP provides a radically new framework to think about AI and how it can be used to address any friction across any supply-chain in any industry. A bold claim! They use marketing, media and communications - problems we're all familiar with - as an example. Lifting the hood on the plethora of algorithmic problems that need be orchestrated to solve this mind-boggling complex problem. Daniel showcases how this new framework to think about AI can help organizations choose the right AI's to solve, build and scale differentiated solutions. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Build cloud solutions faster and smarter with Prompt Design in Vertex AI. Work your way towards earning a Google Cloud skill badge while being introduced to GenAI, powered by Google's advanced Gemini AI. Your session will include a presentation and hands-on practice with the learning labs included in this Skill Badge, followed by an overview of the requirements that will be evaluated to earn this credential. The challenge lab, to be completed after the session, takes the learner on a journey of crafting effective prompts, applying Gemini models to create new product descriptions in a real-world marketing scenario, and running, testing and modifying generative AI code using Jupyter Notebooks. Experience the future of cloud development today!

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.