Podcasts about Customer data

Send us Fan MailDirect to consumer strategy for Amazon sellers helps protect customer data, margins, and brand control before account risk hits. This video covers Amazon to Shopify strategy, ecommerce paid media, UGC ads, email SMS retention, website conversion rate, and fulfillment. Learn how Amazon sellers can use customer data, Meta ads, TikTok ads, Google Shopping, MCF, and ecommerce funnels for brand growth.Stop letting Amazon own the customer relationship, get a growth plan built before one policy change hits your brand: https://bit.ly/4jMZtxu#AmazonSellers #EcommerceGrowth #ShopifyStrategy #AmazonFBA #BrandGrowthWant free resources? Dowload our Free Amazon guides here:Amazon Receiving Delay Guide: https://hubs.ly/Q04cdD4c0Amazon Catalog Spring Cleaning: https://hubs.ly/Q046BVfp0Amazon Proft Margin Defense 2026: https://hubs.ly/Q042trRH0Amazon SEO Toolkit 2026: https://bit.ly/4oC2ClTAmazon Seller Strategy Report 2026: https://bit.ly/3YN1RME2026 Ecommerce Website & SEO Readiness Checklist: https://hubs.ly/Q04btghf0Amazon 2026 PPC guide: https://bit.ly/4lF0OYXTimestamps00:00 - Why Amazon Sellers Need Brand Control00:31 - Customer Data and Margin Problems on Amazon02:13 - Amazon and Website Pricing Strategy03:32 - Creative Refresh for Ecommerce Ads06:47 - Paid Media Funnel for Brand Growth10:41 - Using Amazon AMC for Lookalike Audiences11:50 - Email and SMS System for Retention14:00 - Website Optimization for More Sales18:32 - Amazon Pages vs Ecommerce Websites19:59 - Inventory and Fulfillment Setup21:29 - Tracking, Pixels, UTM Tags, and Attribution24:17 - Retention and Customer Lifetime Value25:45 - Customer Experience That Can Beat Amazon27:02 - Common Ecommerce Growth Mistakes-----------------------------------------------------------------------------------------Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

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Martin Casado speaks with George Fraser, cofounder and CEO of Fivetran, about the future of data infrastructure in the age of AI. The conversation covers Fivetran's merger with dbt, the changing role of data platforms, and why Fraser believes many companies are overestimating the threat AI poses to enterprise software. They discuss open data access, the backlash against AI agents accessing systems of record, and why businesses still need centralized data foundations even as agent-based workflows become more common. Along the way, Fraser shares his views on data gravity, coding agents, enterprise AI adoption, and how AI is changing the way software companies build and operate products.   Resources: Follow George Fraser on X: https://x.com/frasergeorgew Follow Martin Casado on X: https://x.com/martin_casado Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Martin Casado speaks with George Fraser, cofounder and CEO of Fivetran, about the future of data infrastructure in the age of AI. The conversation covers Fivetran's merger with dbt, the changing role of data platforms, and why Fraser believes many companies are overestimating the threat AI poses to enterprise software. They discuss open data access, the backlash against AI agents accessing systems of record, and why businesses still need centralized data foundations even as agent-based workflows become more common. Along the way, Fraser shares his views on data gravity, coding agents, enterprise AI adoption, and how AI is changing the way software companies build and operate products.   Resources Follow George Fraser on X: https://x.com/frasergeorgew Follow Martin Casado on X: https://x.com/martin_casado Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Discounting is a trap that eats away at your margins. Neil Twa has seen countless sellers fall into the cycle of cutting prices to move inventory, only to find themselves in a worse position the following month. Most sellers are sitting on a goldmine of customer behavior data, yet they instinctively reach for discounts when sales slow. Neil shares real-world examples, including a home goods seller doing $15,000 to $20,000 a month on Amazon, who faced a slow Q1. Instead of slashing prices, Neil offers three actionable moves to use customer data, starting with pulling repeat buyer data from Amazon's Brand Analytics. These strategies work for sellers at every level, whether you're just starting or managing a $1M+ brand. The High Voltage Business Builders Podcast is here to help you maintain your margins and grow intelligently. Ready to audit your AI readiness? Take the free 5-question assessment: voltagedm.com/aiquiz?utm_source=rss&utm_medium=show_notes&utm_campaign=ep284

Podcast: Tech TransformedGuest: Mihir Nanavati, GM and Product Executive in MarTech and AdTechHost: Doug Laney, Research & Advisory Fellow at BARC and Author of Infonomics & Data JuiceAI might have overtaken the industry with processing data, automating workflows, and creating content. The next big thing could be a major one, says Mihir Nanavati, GM and Product Executive in MarTech and AdTech, “AI is moving from managing data to making decisions with it.”In the recent episode of the Tech Transformed podcast, host Doug Laney, Research & Advisory Fellow at BARC and Author of Infonomics & Data Juice, sat down with Nanavati to talk about a larger transformation in data and decision-making systems driven by AI.They particularly focus on the integration of agentic AI in marketing and customer data platforms. They explore the challenges of fragmentation in ad tech, the importance of connecting customer data to revenue outcomes, and the transformative role of AI in decision-making processes. Mihir shares insights on how companies can leverage AI to enhance their marketing strategies and the future of first-party data."This is not a cost exercise, it's about how much more you can get done and how many more ideas you can execute," said Nanavati.For years, enterprises went through waves of technological change, including cloud infrastructure, mobile platforms, and customer data platforms (CDPs). Each development helped enterprises collect, store, and manage larger amounts of data. However, Nanavati asserts that humans making most decisions will never change. Now, AI agents are introducing a new model.How AI has Moved from Data Navigation to Making DecisionsIn the past, customer data initiatives aimed to create a unified view of customers. Enterprises built warehouses, ETL pipelines, and data platforms that were designed to be reliable. However, Nanavati suggests that AI agents are changing these expectations. "Machines can reason, and that is fundamentally different."Rather than simply serving as another analytical feature in existing systems, AI agents are increasingly acting as decision-makers. They weigh trade-offs, learn from results, and execute plans based on specific goals.This change has significant implications for customer data platforms. CDPs are not just repositories for customer information now. Instead, they are becoming layers that enable intelligent actions."The role of customer data platforms is evolving into ‘how do you make meaning of this?'" While, decisions about which customer segment to target, which message to send, or which offer to present may increasingly be guided by AI-driven systems.What's the Fragmentation Problem in Modern AdTechWhile AI agents create new opportunities, Nanavati pointed out a persistent issue in the AdTech and MarTech ecosystem – fragmentation. Brands today tend to lean towards deploying multiple advertising and customer engagement platforms. These include social platforms, retail media networks, email tools, and specialised ad technologies. Each system may optimise effectively within its own space, but often fails to connect at the customer level.Nanavati calls it a "paradox of choice." "Each system is optimising locally for its own clicks and conversions, but none of that is coordinated at the consumer level."The result is a customer experience that many consumers notice, alluding to repeated retargeting for products they have already bought, irrelevant recommendations, or disconnected interactions across channels.As enterprises adopt AI agents, fragmented data environments may become an even bigger problem. AI systems can process information quickly, but they still rely heavily on context. "AI doesn't need perfect data in many cases, but it needs context."What's Next for Enterprise Tech?As AI adoption continues, Nanavati believes that successful enterprises will be recognised not by how many experiments they run, but by how fast they learn and use the results."Learn very rapidly. Then scale what you've learned." For leaders, this may require a stronger commitment than just isolated pilot programs or limited rollouts. It may also need organisational changes that place AI decision-making and customer context at the centre of growth strategies.For companies navigating the intersection of AI agents, CDPs, and customer data, the question may no longer be whether AI can automate processes. The ultimate question is about who is calling the shots.Key TakeawaysAI is fundamentally changing how decisions are made in marketing.The shift from third-party to first-party data is crucial for businesses.Fragmentation in ad tech leads to a paradox of choice for brands.Connecting customer data to revenue outcomes is essential for success.AI can help marketers make better decisions without needing perfect data.Customer data platforms are evolving to support real-time decision-making.Companies can run significantly more marketing experiments with AI.Leaders must personally drive change in their Enterprises.Successful AI implementation requires a focus on revenue outcomes.First-party data collection is becoming more sophisticated and essential.Chapters00:00 Navigating the Shift in Data and AI03:03 The Evolution of Decision-Making in Marketing05:55 Challenges of Fragmentation in Ad Tech09:00 Connecting Customer Data to Revenue Outcomes11:56 The Role of AI in Customer Data Platforms14:55 Real-World Applications of Agentic AI18:05 Blueconic's Approach to Customer Growth21:14 The Future of First-Party Data24:02 Building Habits for Successful AI ImplementationListen to the full episode of Tech Transformed for a deeper discussion on AI agents, customer data platforms (CDPs), first-party data strategies and the future of AdTech. Subscribe for upcoming episodes and join the conversation across our social channels.BlueConic LinkedIn: @BlueConicEM360Tech YouTube: @enterprisemanagement360EM360Tech LinkedIn: @EM360TechEM360Tech X: @EM360TechFor more information, please visit em360tech.com and blueconic.com.

The best asset you can build is your customer database and the #1 place to build it is inside your restaurant.  --- Is your marketing plan built to WIN? Think so?  Take the audit ... https://business.americasbestrestaurants.com/audit

County Executive Mark Poloncarz signs bill banning businesses from selling customer data full 1329 Tue, 26 May 2026 16:30:32 +0000 8pDiqDfRhRsRiwHB3mI1BCoxzoXlp6vQ news & politics,news WBEN Extras news & politics,news Erie County Executive Mark Poloncarz signs the Biometric Transparency and Privacy Act banning businesses from selling customer data Archive of various reports and news events 2024 © 2021 Audacy, Inc. News & Politics

In this episode of The Broadband Bunch, host Pete Pizzutillo sits down with John Hill from GVTC to talk about how broadband providers can move beyond AI hype and start applying it in practical, meaningful ways. John tells about his path into telecom and how GVTC has evolved from a rural provider into a fast-growing fiber network. The conversation highlights how AI is already reshaping marketing, customer analytics, and forecasting, with real examples of how John uses AI tools to dramatically reduce analysis time and uncover new business insights. They also discuss the cultural and operational shifts required for successful AI adoption. John emphasizes that progress starts with curiosity, experimentation, and strong collaboration between business and IT teams. Rather than forcing top-down mandates, GVTC encourages employees to explore AI in their own workflows and share results across the organization. The episode underscores a clear message for broadband operators: companies that embrace AI now—through better data practices, agile thinking, and a willingness to adapt—will be better positioned to compete, grow, and negotiate from strength in an increasingly competitive fiber market.

Dan and Ian break down the real use cases they're seeing inside DC companies right now — not theory, not hype, but the actual workflows founders are using to make and save money. They cover: ● The difference between sidecar AI, AI-first companies, and AI-native businesses ● Real-time dashboards, CRM systems, financial intelligence, and onboarding workflows ● Why founders can suddenly revisit old projects, landing pages, pricing, and customer journeys ● The biggest question every founder needs to answer in 2026: what are we actually going to do with this thing? Tropical MBA is a podcast for entrepreneurs building location-independent businesses. Subscribe for weekly episodes on business, money, and the entrepreneurial lifestyle. How A.I. Helped One Man (and His Brother) Build a $1.8 Billion Company Hang out exclusively with 7+ figure founders in DC BLACK Our sponsor, Bento - Email marketing for bootstrapped founders CHAPTERS (00:00:00) “Every Business Needs an AI Implementation” (00:05:23) Why “Sidecar AI” Is No Longer Enough (00:08:00) What an AI-First Business Actually Looks Like (00:10:49) The Future: AI-Native Companies (00:12:58) Real-Time Dashboards, Reports, and Scoreboards (00:15:36) CRM, Campaigns, and Customer Data (00:18:32) Why Financial Intelligence Matters More Than Ever (00:21:44) Building Landing Pages Without Developers “These are revenue experiments, growth experiments.” (00:24:23) The First Workflows Founders Should Rebuild CONNECT: Dan@tropicalmba.com Ian@tropicalmba.com Past guests on TMBA include Cal Newport, David Heinemeier Hannson, Seth Godin, Ricardo Semler, Noah Kagan, Rob Walling, Jay Clouse, Einar Vollset, Sam Dogan, Gino Wickam, James Clear, Jodie Cook, Mark Webster, Steph Smith, Taylor Pearson, Justin Tan, Matt Gartland, Ayman Al-Abdullah, Lucy Bella. PLAYLIST: The $10K Projects You Never Do (AI Just Changed That) How to Build a 6-Figure Digital Business with Claude Code We Got Claude-Pilled

Is the Trump administration creating a centralized database that tracks the activities Americans? Americans who are not suspected of committing a crime?That's the question at the heart of a new lawsuit filed against the administration by the Freedom of the Press Foundation. That's an organization advocating for press freedoms.These allegations stem from an executive order signed by Donald Trump last year encouraging data sharing between federal agencies and the elimination of “information silos.” In the last year, the Trump administration has loosened restrictions around the Central Intelligence Agency's access law enforcement data. It has also allowed Immigration and Customs Enforcement to access Medicaid data and given ICE access to data from the Internal Revenue Service.These instances of data sharing between agencies have led to court battles and raised concerns over the amount of access the federal government has to our personal data and what they're doing with it.We discuss the erosion of privacy protections under the Trump administration and what it means for you.A statement from Flock…“Flock does not share data on behalf of customers – agencies own and control their data and decide how it's shared. As is made clear in our Terms & Conditions, “all right, title, and interest in and to Customer Data belong to and are retained by Customer.” Agencies can opt to share 1:1, within a geographic radius, across statewide or nationwide networks, or not at all. All searches on the platform are logged in an unalterable audit trail.Any sharing with federal law enforcement must be done on a 1:1 basis; federal agencies are not part of statewide or nationwide networks. In order for an agency to establish a sharing relationship with federal law enforcement, the local agency must explicitly allow federal law enforcement to discover that they exist within the Flock system (a setting that is opt-in only and off by default); federal law enforcement must then request access to that system; and the local agency must then accept federal law enforcement's share request.Flock does not have any contracts with ICE or any DHS subagency. You can read more here.On contract renewals: law enforcement agencies nationwide use Flock to help solve serious crimes. When a tool that is actively helping solve violent crimes is removed, public safety moves backward. That has real consequences: cases will take longer to solve, organized retail theft crews will operate with fewer obstacles, an Amber Alert may not be returned home, and victims may wait longer, or indefinitely, for justice. You can read more here.”Find more of our programs online. Listen to 1A sponsor-free by signing up for 1A+ at plus.npr.org/the1a.To manage podcast ad preferences, review the links below:See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.NPR Privacy Policy

Send us Fan MailGuest: You Mon Tsang, Co-Founder & CEO of ChurnZero  --  In this episode of SaaS Backwards, Ken Lempit talks with ChurnZero co-founder and CEO You Mon Tsang about why retention and expansion are becoming core drivers of SaaS growth, not just post-sale activities. As investors put more weight on metrics like NRR and GRR, founders need to rethink how they build and scale their companies. They discuss why customer success should be designed into the product and operating model from the beginning, and why too many companies still underinvest in their existing customer base. The conversation also explores how AI is reshaping customer teams—removing low-value work while making teams more strategic—and why trust, proof of ROI, and customer context are critical in a crowded SaaS market. Key takeaways Retention is now a primary driver of SaaS growth.  Customer success needs to be built in early, not added later.  AI is most valuable when it enhances human decision-making.  Strong customer context leads to better outcomes and expansion.  Trust and proof matter more than ever in the AI era.---Stalled pipeline? Lost deals? Diagnose your GTM gaps with a free, actionable checkup. 

Find out how insights buried in qualitative data can be spun into quantitate gold, why average ratings and NPS numbers are misleading, and how to respond to reviews the right way in our chat with RightResponse CEO and co-founder, George Swetlitz. SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-how-to-leverage-customer-review-data  © 2026, NinjaCat

Let's go 2026!!!! This Enterprise series is huge. Loved recording this one with real leaders who are using GenAI and leveraging right Data. Everyone is talking about GenAI in customer service. Very few are talking about what actually works in production. Next week, we are going live with a real, honest conversation on how enterprises are using GenAI with customer data to transform customer service.This is not about theory.This is not about shiny demos.We will talk about:- What GenAI chatbots and virtual agents are actually doing in production- Why most pilots fail when they hit real enterprise data- The kinds of customer questions that create the most value- How teams think about security, privacy, real-time access, and scaleThe business impact leaders really care about like resolution time, agent efficiency, and customer satisfactionJoining me are Ronen Schwartz and Miguel Navarro, who are working hands-on with these challenges inside large financial institutions.If you are building GenAI for customer-facing use cases, or planning to, this session will help you avoid costly mistakes and focus on what actually matters.Customer service is being redefined.But only for teams that get data right.#data #ai #genai #agents #governance #dataquality #k2view #theravitshow

Stop losing customer insights to privacy blockers! Make confident, data-driven marketing decisions with Tier 11's Data Suite.Learn more and schedule a call at: https://www.tiereleven.com/what-we-do/data-suite Are you flying blind with your ad data? With ad blockers, privacy laws, and tracking issues, Meta can't always give you the full picture. So how do you trust your numbers and make better decisions for your business?In today's episode, we tackle a crucial topic for anyone managing Meta ads: how to optimize data for accurate results. Joined by Cameron Campbell, we explain the difference between Meta's Conversion API (CAPI) and the Tier 11 Data Suite, and why relying on just in-platform metrics can lead you to make costly mistakes.We also talk about the role of first-party data and why it's the foundation for building a solid marketing strategy. We wrap up with proven strategies on improving your ad campaign's performance, understanding customer acquisition costs, and knowing when to pull the plug on underperforming campaigns.In This Episode:- What are Marketing Performance Indicators (MPIs)?- The problem with Meta's in-platform data- Comparing Meta's CAPI with Tier 11 Data Suite- Differences between first-party and third-party data- How to measure customer acquisition costs accurately- Measuring nCAC with Tier 11 Data Suite vs. CAPI- Comparing data in Meta vs Tier 11 Data Suite's interfaces- Understanding time lag and how it impacts your decisionsMentioned in the Episode:Get Your Marketing Performance Indicators (MPIs) Checklist Now: https://www.tiereleven.com/mpi Listen to This Episode on Your Favorite Podcast Channel:Follow and listen on Apple: https://podcasts.apple.com/us/podcast/perpetual-traffic/id1022441491 Follow and listen on Spotify:https://open.spotify.com/show/59lhtIWHw1XXsRmT5HBAuK Subscribe and watch on YouTube: https://www.youtube.com/@perpetual_traffic?sub_confirmation=1We Appreciate Your Support!Visit our website: https://perpetualtraffic.com/ Follow us on X: https://x.com/perpetualtraf Connect with Cameron Campbell:LinkedIn: https://www.linkedin.com/in/cameron-campbell-b5070759/ Connect with Ralph Burns: LinkedIn - https://www.linkedin.com/in/ralphburns Instagram - https://www.instagram.com/ralphhburns/ Hire Tier11 -

Most companies want AI agents talking to their customers. Very few have the data to back it up. I had a blast chatting with Ali Behnam, Founder of Tealium on The Ravit Show at AWS re:Invent. If you work with customer data or AI, this one is worth watching.Tealium helps organizations bring customer data together in one place and use it in real time across marketing, product, and AI use cases. I keep hearing their name when people talk about getting data ready for AI, so I sat down with Ali to go deeper.We spoke about- Who uses Tealium and the main problem they solve for enterprises that are serious about customer data- Why agentic AI is such a big theme this year and what is actually changing inside large companies- Why so many AI agent projects get stuck in pilots and what is missing to make them work in the real world- How Tealium works with AWS, and what being built on AWS unlocks for customers- What Ali wants customers to be able to do by next re:Invent that they cannot easily do todayIf you are trying to make AI agents useful for real customers, not just in demos, I think you will find this helpful.#data #ai #aws #reinvent2025 AWS Partners #databases #agents #agenticai #tealium #theravitshow

Cybersecurity expert Arun Vishwanath tells us more about the technology in use at downstate Wegmans stores that collects customer data and whether that data is completely accurate or flawed.

ServiceNow to acquire cybersecurity startup Armis MacSync Stealer adopts quieter installation Nissan customer data stolen in Red Hat raid Thanks to our episode sponsor, ThreatLocker Want real Zero Trust training? Zero Trust World 2026 delivers hands-on labs and workshops that show CISOs exactly how to implement and maintain Zero Trust in real environments. Join us March 4–6 in Orlando, plus a live CISO Series episode on March 6. Get $200 off with ZTWCISO26 at ztw.com.

Today, we're joined by Adam Markowitz, Co-Founder & CEO at Drata, the leader in AI-native trust management. We talk about:The good problems that come with hypergrowthThe most critical decision that drives successBeing intentional about culture The amplification effects of AI – and the risk that presentsFostering a culture to support the discomfort of rapid growth

How do you establish trust in an AI SOC, especially in a regulated environment? Grant Oviatt, Head of SOC at Prophet Security and a former SOC leader at Mandiant and Red Canary, tackles this head-on as a self-proclaimed "AI skeptic". Grant shared that after 15 years of being "scared to death" by high-false-positive AI, modern LLMs have changed the game .The key to trust lies in two pillars: explainability (is the decision reasonable?) and traceability (can you audit the entire data trail, including all 40-50 queries?) . Grant talks about yje critical architectural components for regulated industries, including single-tenancy , bring-your-own-cloud (BYOC) for data sovereignty , and model portability.In this episode we will be comparing AI SOC to traditional MDRs and talking about real-world "bake-off" results where an AI SOC had 99.3% agreement with a human team on 12,000 alerts but was 11x faster, with an average investigation time of just four minutes .Guest Socials -⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠Grant's Linkedin Podcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠(00:00) Introduction(02:00) Who is Grant Oviatt?(02:30) How to Establish Trust in an AI SOC for Regulated Environments(03:45) Explainability vs. Traceability: The Two Pillars of Trust(06:00) The "Hard SOC Life": Pre-AI vs. AI SOC(09:00) From AI Skeptic to AI SOC Founder: What Changed? (10:50) The "Aha!" Moment: Breaking Problems into Bite-Sized Pieces(12:30) What Regulated Bodies Expect from an AI SOC(13:30) Data Management: The Key for Regulated Industries (PII/PHI) (14:40) Why Point-in-Time Queries are Safer than a SIEM (15:10) Bring-Your-Own-Cloud (BYOC) for Financial Services (16:20) Single-Tenant Architecture & No Training on Customer Data (17:40) Bring-Your-Own-Model: The Rise of Model Portability (19:20) AI SOC vs. MDR: Can it Replace Your Provider? (19:50) The 4-Minute Investigation: Speed & Custom Detections (21:20) The Reality of Building Your Own AI SOC (Build vs. Buy)(23:10) Managing Model Drift & Updates(24:30) Why Prophet Avoids MCPs: The Lack of Auditability (26:10) How Far Can AI SOC Go? (Analysis vs. Threat Hunting)(27:40) The Future: From "Human in the Loop" to "Manager in the Loop" (28:20) Do We Still Need a Human in the Loop? (95% Auto-Closed) (29:20) The Red Lines: What AI Shouldn't Automate (Yet) (30:20) The Problem with "Creative" AI Remediation(33:10) What AI SOC is Not Ready For (Risk Appetite)(35:00) Gaining Confidence: The 12,000 Alert Bake-Off (99.3% Agreement) (37:40) Fun Questions: Iron Mans, Texas BBQ & SeafoodThank you to Prophet Security for sponsoring this episode.

Cyber Security Expert Theresa Payton joins Bo and Beth to discuss the report that OpenTable is selling customer data to advertisers and local restaurants. Theresa recommends phone "cleaning" apps for listeners.See omnystudio.com/listener for privacy information.

Most small businesses lose 97% of website visitors without knowing who they were. Lead enrichment and identity resolution change this equation by filling data gaps automatically. To learn more, visit: https://myinteragent.com/identity-resolution/ InterAgent, LLC City: Greenwood Village Address: 6833 South Dayton Street Website: https://myinteragent.com/ Phone: +1-720-330-4802 Email: hello@myinteragent.com

Stop logging numbers without insights, says Ruggable's Insights Manager, Kajal Patel, on the latest episode of the Shiny New Object Podcast. Tune in to hear: how to use customer segmentation that delivers results why predictive LTV should be your no 1 prioritisation tool Kajal's best investment to increase her productivity why numbers are useless without a call to action. "Data is the neck of the company, because it helps the head move in the right direction." Learn how to use it wisely. 

Hackers who stole troves of Qantas customer data are threatening to release the data unless the airline pays up. Plus, an Opera House protest bid returns to court and Optus outage bungle is revealed.See omnystudio.com/listener for privacy information.

The Cybercrime Magazine Podcast brings you daily cybercrime news on WCYB Digital Radio, the first and only 7x24x365 internet radio station devoted to cybersecurity. Stay updated on the latest cyberattacks, hacks, data breaches, and more with our host. Don't miss an episode, airing every half-hour on WCYB Digital Radio and daily on our podcast. Listen to today's news at https://soundcloud.com/cybercrimemagazine/sets/cybercrime-daily-news. Brought to you by our Partner, Evolution Equity Partners, an international venture capital investor partnering with exceptional entrepreneurs to develop market leading cyber-security and enterprise software companies. Learn more at https://evolutionequity.com

Meta changed its policies around researching sensitive topics — like politics, children, gender, race, and harassment — six weeks after whistleblower Frances Haugen leaked internal documents that showed how Meta's own research found that Instagram can damage teen girls' mental health. Also, Salesloft said a breach of its GitHub account in March allowed hackers to steal authentication tokens that were later used in a mass-hack targeting several of its big tech customers. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Customer data integration challenges cost enterprises millions in missed revenue opportunities annually. Eddie Patzsch, marketing strategist at Optimove, shares proven frameworks for securing technical leadership buy-in for customer data infrastructure investments. The discussion covers quantifying business impact through cost-of-inaction modeling, positioning data integration as an efficiency multiplier that reduces ad hoc technical requests, and leveraging AI readiness initiatives to align marketing data needs with existing technical priorities.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Customer data and marketing campaigns form an inseparable "power couple" driving modern growth strategies. Eddie Patzsch from Optimove reveals how leading brands are shifting budget allocation from traditional channel-based spending to customer data-driven investment strategies that build sustainable competitive advantages. The discussion covers zero-party data deployment frameworks, customer enrichment methodologies, and the operational infrastructure required to move beyond batch-and-blast approaches toward precision-targeted campaign execution.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Zero-party customer data collection remains critically underutilized across enterprise marketing teams. Eddie Patzsch, marketing strategist at Optimove, demonstrates how gamification platforms can capture customer preferences and behavioral insights that drive measurable engagement improvements. The discussion covers implementing self-serve gamification tools for email and website zero-party data collection, executive buy-in strategies for data collection initiatives, and scaling beyond traditional first-party data limitations through intentional customer preference gathering frameworks.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Donata Stroink-Skillrud is an attorney licensed in Illinois, a Certified Information Privacy Professional, and President of Termageddon, a SaaS platform transforming how eCommerce businesses handle legal compliance. Built at the intersection of privacy law expertise and technology, Termageddon helps online businesses stay compliant with ever-changing privacy regulations, without needing a legal team.After years of working directly with contract law, consumer protection, and international privacy regulations, Donata saw firsthand how fragmented, outdated, and risky privacy compliance had become for Ecommerce websites. What started as manual legal work soon evolved into an automated solution that identifies which privacy laws apply to a business and generates up-to-date, accurate website policies in minutes—not weeks.Donata brings a legal insider's perspective to the realities of online selling, breaking down complex regulations into practical steps for founders. From helping brands avoid FTC fines on subscription renewals, to clarifying why state privacy laws apply to your store, Donata explains the hidden legal pitfalls that quietly erode Ecommerce growth and how to protect against them.Whether sharing how generic privacy templates leave stores exposed, why recurring billing pages are the newest legal battleground, or how to future-proof your policies against incoming U.S. state laws, Donata delivers a tactical, no-nonsense playbook for reducing legal risk and building customer trust.In This Conversation We Discuss: [00:42] Intro[01:04] Breaking down contract laws for entrepreneurs[02:02] Explaining why Shopify won't cover your compliance[03:57] Breaking down real costs of ignoring privacy laws[06:53] Clarifying why location won't shield your store[08:10] Highlighting false refund claims that trigger fines[11:54] Identifying which privacy laws apply to you[13:36] Turning repetitive legal work into automation[14:55] Updating policies before laws take effect[16:29] Receiving automatic updates without extra effort[17:15] Saving weeks of legal work with automation[18:12] Staying compliant as privacy laws keep changingResources:Subscribe to Honest Ecommerce on YoutubeProtects business from fines and lawsuits termageddon.com/Follow Donata Stroink-Skillrud linkedin.com/in/donata-stroink-skillrudIf you're enjoying the show, we'd love it if you left Honest Ecommerce a review on Apple Podcasts. It makes a huge impact on the success of the podcast, and we love reading every one of your reviews!

Ever wondered why Smart Utilities Let Their Assets Break? Then listen to this: It will show you how Physics beats AI in Asset Management! More #water insights? Subscribe to my newsletter, for free! https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=6884833968848474112

Following the hacks of Optus and Medibank in 2022, earlier this month Qantas customer information was hacked. Is the legal system and corporate responce sufficient? - 2022年の、オプタス、メディバンクに続く、今月初頭のカンタスの顧客情報へのハッキング。法制度、企業の対応は十分でしょうか？現在どんな対応がされているのでしょうか？

AI adoption in the trucking industry is skyrocketing — and leaders, executives, and managers of heavy-duty trucking fleets are taking notice. In this HDT Leadership Insights podcast, HDT Editor and Associate Publisher Deborah Lockridge sits down with Tim Haynes, VP of Digital and Customer Data at Penske Transportation Solutions, to discuss how artificial intelligence is transforming fleet operations. This episode of HDT Leadership Insights is produced in partnership with, and sponsored by, Penske. Haynes shares highlights from Penske's recent survey on fleet AI adoption, insights into the latest enhancements of its Catalyst AI platform, and what fleets should know about implementing AI responsibly.  From route optimization to predictive maintenance and Penske's innovative Fantasy Fleet tool, this episode explores the real-world impact of AI in transportation, and addresses concerns like data quality, AI “hallucinations,” and human oversight.What You'll Learn:Why fleets are exploring AIEnsuring data quality and avoiding AI “hallucinations”Human + AI: The hybrid model at PenskeWhat's new in Catalyst AIAI is already in your life — what it means for fleets now

A legal complaint has been lodged against Qantas by an Australian law firm over the data hack that saw the personal details of scores of customers exposed. Qantas now says it's been granted an interim injunction in the NSW Supreme Court to prevent the stolen data of almost 6 million customers from being leaked. - قانونی فرم نے آسٹریلین ایئر لائن قانطاس کے خلاف ایک شکایت درج کرائی ہے جس میں اس ڈیٹا ہیک کا ذکر ہے جس کے نتیجے میں لاکھوں صارفین کی ذاتی معلومات افشا ہوئیں۔قانطاس کا کہنا ہے کہ اسے نیو ساؤتھ ویلز سپریم کورٹ سے ایک عبوری حکم امتناعی موصول ہوا ہےاور اسکی بھرپور کوشش ہے کہ تقریباً چھ ملین صارفین کا چوری شدہ ڈیٹا لیک ہونے سے روکا جا سکے۔

A legal complaint has been lodged against Qantas by an Australian law firm over the data hack that saw the personal details of scores of customers exposed. Qantas now says it's been granted an interim injunction in the NSW Supreme Court to prevent the stolen data of almost 6 million customers from being leaked.

"Marketers don't need more data, they need smarter data. When you unify your first-party customer data and layer it with predictive AI, you move from generic messaging to precise, revenue-driving actions. Whether it's suppressing low-propensity audiences, expanding high-value segments, or optimizing media efficiency, organized data is the engine that powers real growth."" Matt Greitzer In this episode of Revenue Boost: A Marketing Podcast, titled From Siloed to Strategic: How Unified Customer Data Fuels Predictive Marketing, Kerry Curran sits down with Matt Greitzer, CEO and Co-founder of Actable, to break down why customer data is still your most valuable yet most underutilized marketing asset. Matt shares how brands across retail, CPG, publishing, and financial services can unlock their existing first-party data to predict churn, increase retention, suppress wasted ad spend, and personalize messaging at scale. You'll learn how to: Unify online and offline customer data into a clean, cloud-based system Align IT and marketing teams around shared business outcomes Use AI-powered scoring and segmentation to identify high- and low-propensity buyers Deploy more efficient media strategies through intelligent suppression Move from basic personalization to advanced, predictive lifecycle marketing Whether you're starting from siloed systems or scaling a sophisticated CDP, this episode gives you a roadmap to smarter, revenue-driving activation. 

Data breaches are no longer the exception—they're the norm. As customer trust becomes harder to earn and easier to lose, businesses are waking up to a reality: managing customer data isn't just an IT concern—it's a C-suite imperative.Inspired by As data breaches abound, customer data management becomes C-suite priority, this episode explores how CDM has evolved into a strategic business function. From skyrocketing breach costs to the push for unified customer views, we unpack why CDM is foundational to trust, personalization, and brand loyalty in today's digital economy. You'll hear about best practices, key technologies, and the deeper implications of turning data protection into a promise—not just a policy.What You'll Learn in This Episode:1. The Scale and Impact of Modern Data BreachesWhy breaches involving millions—even hundreds of millions—of users are becoming more commonThe financial toll of breaches, with average costs nearing $5 millionHow brand trust and customer loyalty are at stake when data is mishandled2. What Customer Data Management (CDM) Really MeansCDM as a comprehensive strategy to collect, protect, organize, and ethically use customer dataIts growing visibility as a consumer-facing function, not just a backend processThe shift from fragmented data to unified profiles across platforms and departments3. Best Practices for Effective CDMUnderstand evolving regulations like GDPR and CCPAPrioritize high-value data, not just volumeInvest in platforms with certified data security standardsClean and validate customer data regularly to reduce inaccuracyBreak down internal silos to unify data organization-wideBuild holistic customer profiles that integrate behavioral, transactional, and sentiment dataManage customer identity continuously from first interaction through the entire lifecycle4. The Business Case for CDMEnables personalization at scale while maintaining trustFuels better decision-making through clean, unified insightsCreates competitive advantage through security, transparency, and loyaltySupports compliance and reduces operational inefficienciesKey Takeaways:Data management is no longer optional—it's foundational to customer experience and business survivalCustomers expect hyper-personalization and security; companies must deliver bothCDM enables unified, real-time understanding that strengthens every customer interactionStrong data governance is a brand promise that drives retention, growth, and trustSubscribe to our podcast for expert insights on data security, digital transformation, and customer trust in the age of AI. Visit The Future of Commerce for the latest trends and research. Share this episode with data leaders, marketers, and business decision-makers invested in protecting and empowering the customer.

In this episode of the Remarkable Retail podcast, hosts Michael LeBlanc and Steve Dennis begin by dissecting the week's most important retail news, highlighting the Trump administration's UK trade deal. They discuss the more consequential negotiations with China befor examining how Chinese e-commerce giants Temu and Shein are experiencing sales drops of 17% and 23% respectively after implementing pricing changes.April's surprising 7% jump in US core retail sales indicates consumers are pulling forward purchases ahead of expected tariff impacts. The hosts discusss positive earnings news from Tapestry (Coach's parent company), which increased profit guidance despite economic uncertainty, and Warby Parker, which delivered its first profitable quarter in its history. They conclude the news segment with Skechers' unexpected $9 billion acquisition by private equity firm 3G Capital, noting that the footwear giant operates in 180 countries with 5,300 stores.The interview segment features Josh Friedman, Senior Vice President of Digital and E-commerce at Ulta Beauty. Friedman brings extensive experience from previous roles at Dell, JCPenney, and Neiman Marcus. He discusses Ulta's 35-year journey and upcoming expansion into Mexico and the Middle East, emphasizing their mission to be "all things beauty, all in one place."When asked about Ulta's success factors, Friedman points to three key elements: comprehensive brand assortment, their powerful loyalty program with 44 million members, and Ulta's collaborative company culture. Personalization is a major focus for Ulta, built on their loyalty program foundation. Friedman explains how Ulta leverages search and virtual try-on technology to help deliver relevant customer experiences. Under new CEO Kecia Steelman Ulta is recalibrating its structure and focus. Friedman shares details about their upcoming curated marketplace launch, emphasizing it will be invitation-only and focused on carefully selected beauty and wellness brands that complement their existing offerings. The marketplace will allow Ulta to test new products and extend into additional categories while maintaining quality control.  Here is a 10% off code for the CommerceNext Growth Show exclusive to Remarkable Retail listeners: REMARKABLE. About UsSteve Dennis is a strategic advisor and keynote speaker focused on growth and innovation, who has also been named one of the world's top retail influencers. He is the bestselling authro of two books: Leaders Leap: Transforming Your Company at the Speed of Disruption and Remarkable Retail: How To Win & Keep Customers in the Age of Disruption. Steve regularly shares his insights in his role as a Forbes senior retail contributor and on social media.Michael LeBlanc is the president and founder of M.E. LeBlanc & Company Inc, a senior retail advisor, keynote speaker and now, media entrepreneur. He has been on the front lines of retail industry change for his entire career. Michael has delivered keynotes, hosted fire-side discussions and participated worldwide in thought leadership panels, most recently on the main stage in Toronto at Retail Council of Canada's Retail Marketing conference with leaders from Walmart & Google. He brings 25+ years of brand/retail/marketing & eCommerce leadership experience with Levi's, Black & Decker, Hudson's Bay, CanWest Media, Pandora Jewellery, The Shopping Channel and Retail Council of Canada to his advisory, speaking and media practice.Michael produces and hosts a network of leading retail trade podcasts, including the award-winning No.1 independent retail industry podcast in America, Remarkable Retail with his partner, Dallas-based best-selling author Steve Dennis; Canada's top retail industry podcast The Voice of Retail and Canada's top food industry and one of the top Canadian-produced management independent podcasts in the country, The Food Professor with Dr. Sylvain Charlebois from Dalhousie University in Halifax.Rethink Retail has recognized Michael as one of the top global retail experts for the fourth year in a row, Thinkers 360 has named him on of the Top 50 global thought leaders in retail, RTIH has named him a top 100 global though leader in retail technology and Coresight Research has named Michael a Retail AI Influencer. If you are a BBQ fan, you can tune into Michael's cooking show, Last Request BBQ, on YouTube, Instagram, X and yes, TikTok.Michael is available for keynote presentations helping retailers, brands and retail industry insiders explaining the current state and future of the retail industry in North America and around the world.

In this episode of the Shift AI Podcast, host Boaz welcomes Tony Owens, the recently appointed CEO of Amperity, a Seattle tech unicorn revolutionizing how companies leverage customer data in the age of AI. Drawing from over two decades at tech powerhouses Oracle and Salesforce, Tony shares his vision for the intersection of AI and customer data. The conversation explores how the traditional rules-based approach to customer data is being transformed by AI capabilities, enabling brands to create truly personalized experiences that fit into consumers' lives rather than interrupting them.Description:[01:30] Introduction to Tony Owens [03:09] Tony's Journey Through Oracle and Salesforce[05:18] The Amperity Story and Value Proposition[07:53] AI's Impact on Customer Data Platforms[09:38] Personalization and the Evolution of Customer Experience[16:10 ] Balancing Personalization with Privacy [18:02] Leadership in the Age of AI and Automation [21:39] Mentors and Influences in Tony's Career [25:03] The Future: 'Exciting and Uncertain'[27:29] Closing Thoughts and Future OutlookConnect with Tony OwensLinkedIn: https://www.linkedin.com/in/tony-alika-owens-a53a794Connect with Boaz AshkenazyLinkedIn: https://www.linkedin.com/in/boazashkenazy X: boazashkenazyEmail: shift@augmentedailabs.com

  In this episode, Kathryn speaks with Liz Teran, Chief Marketing Officer at Owlet Baby Care, discussing how to market to a rapidly changing addressable market with very short buying cycles. Liz shares her insights into leveraging both quantitative and qualitative data, as well as how they tweak their messaging to accommodate for different mindsets throughout the buyers' pregnancy journey. Guest Quote: “Owlet has one of the largest infant health data sets in the world. so this is really exciting. We're just getting started, but there's so many opportunities for us to use that information to, you know, empower parents further to just delight them in their product experience. For example, things we're talking about but haven't implemented yet, might be like, ‘Oh, we can see that your baby woke several times last night. It looks like you had a rough night, mom. You know, here's a Starbucks gift card on us. Have a good day.' You know, so it's not just the product pieces of like, oh, your child might be getting sick, or this, you know, key health metric has changed for them, but also just provide them a delightful brand experience as well. And I think that's really magical.”Episode Breakdown: [03:51] Alchemy Unveiled: Take the path less traveledDigging into the data often leads you down a path that differs from industry trends or traditional approaches. Make sure to leverage scrappy, intuitive data to truly understand buyer needs.  [11:09] From Nuggets to Campaign Gold: Nothing beats word-of-mouthWhen Owlet learned that 50 percent of their customers first heard of them through a friend or family member, they changed their strategy, leaning into parent stories over features. [20:02] Gold Rush! Gain Inspiration As a Consumer Sometimes, the best inspiration and way to get a pulse on the marketing industry, is to pay attention to what grabs you as as a consumer. Pull inspiration from other disciplines and keep your marketing hat on as you move through the world (and in the internet).  Links & Resources:Connect with KathrynConnect with LizLearn more about DeluxeLearn more about Owlet Baby Care

Meta finally acknowledged that Facebook has a major spam problem, Perplexity is building a browser in part to collect customer data for targeted ads, and Motorola introduced the no-frills Moto Watch Fit. It's Friday, April 25th and this is your morning tech news roundup from Engadget. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode we are looking at a sector where IT and tech innovation is taking efficiency to a whole new level - manufacturing.Manufacturing is in a precarious position as an industry. In the global north, growth is largely stagnant, according to those same UN statistics. Even in high-growth economies like China, it's slowing down. It's also notoriously inefficient. So, can tech help? And if so, what does that look like? Joining us to discuss is Dan Klein, an advisor on data and digital transformation with a special interest in the manufacturing sector.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. About this week's guest, Dan Klein: https://www.linkedin.com/in/dplklein/?originalSubdomain=uk Sources cited in this week's episode: UN stats on the state of global manufacturing: https://stat.unido.org/portal/storage/file/publications/qiip/World_Manufacturing_Production_2024_Q1.pdfStatista report on global manufacturing and efficiency: https://www.statista.com/outlook/io/manufacturing/worldwide Water on Mars: https://pubs.geoscienceworld.org/gsa/geology/article/52/12/939/648640/Seismic-discontinuity-in-the-Martian-crust

In this episode we are looking at a sector where IT and tech innovation is taking efficiency to a whole new level - manufacturing.Manufacturing is in a precarious position as an industry. In the global north, growth is largely stagnant, according to those same UN statistics. Even in high-growth economies like China, it's slowing down. It's also notoriously inefficient. So, can tech help? And if so, what does that look like? Joining us to discuss is Dan Klein, an advisor on data and digital transformation with a special interest in the manufacturing sector.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. About this week's guest, Dan Klein: https://www.linkedin.com/in/dplklein/?originalSubdomain=uk Sources cited in this week's episode: UN stats on the state of global manufacturing: https://stat.unido.org/portal/storage/file/publications/qiip/World_Manufacturing_Production_2024_Q1.pdfStatista report on global manufacturing and efficiency: https://www.statista.com/outlook/io/manufacturing/worldwide Water on Mars: https://pubs.geoscienceworld.org/gsa/geology/article/52/12/939/648640/Seismic-discontinuity-in-the-Martian-crust

Discover all of the podcasts in our network, search for specific episodes, get the Optimal Living Daily workbook, and learn more at: OLDPodcast.com. Episode 1620: Generating high-quality leads starts with accurate customer data. Shayla Price emphasizes the importance of gathering reliable insights, refining buyer personas, and segmenting audiences to create personalized marketing strategies. By leveraging data effectively, businesses can improve conversions, build stronger customer relationships, and ultimately drive more sales. Read along with the original article(s) here: https://neilpatel.com/blog/customer-data-solution-to-lead-generation/ Quotes to ponder: "Understanding who your customers are and, in turn, what they like, will undoubtedly enable you to increase conversions and sales." "Use personas to spend more time with qualified leads, because they're the ones who are most likely to turn into those long-term customers you're looking for." "Customer data is intended to facilitate the relationship between the sales rep and the buyer." Learn more about your ad choices. Visit megaphone.fm/adchoices

Discover all of the podcasts in our network, search for specific episodes, get the Optimal Living Daily workbook, and learn more at: OLDPodcast.com. Episode 1620: Generating high-quality leads starts with accurate customer data. Shayla Price emphasizes the importance of gathering reliable insights, refining buyer personas, and segmenting audiences to create personalized marketing strategies. By leveraging data effectively, businesses can improve conversions, build stronger customer relationships, and ultimately drive more sales. Read along with the original article(s) here: https://neilpatel.com/blog/customer-data-solution-to-lead-generation/ Quotes to ponder: "Understanding who your customers are and, in turn, what they like, will undoubtedly enable you to increase conversions and sales." "Use personas to spend more time with qualified leads, because they're the ones who are most likely to turn into those long-term customers you're looking for." "Customer data is intended to facilitate the relationship between the sales rep and the buyer." Learn more about your ad choices. Visit megaphone.fm/adchoices

Podcast Episode 229 of the Make Each Click Count Podcast features Jim Harenchar, CEO of Response Marketing Group. With over 35 years of experience, Jim's firm has been pioneering data-driven marketing across sectors like financial services, tourism, and healthcare. In this episode, they uncover how leveraging customer data can enhance marketing performance, boost engagement, and drive revenue growth. From developing proprietary ad tech solutions to transforming destination marketing strategies, Jim offers invaluable insights you won't want to miss. Let's get started!Learn more:Jim's LinkedInABOUT THE HOST:Andy Splichal is the World's Foremost Expert on Ecommerce Growth Strategies. He is the acclaimed author of the Make Each Click Count Book Series, the Founder & Managing Partner of True Online Presence, and the Founder of Make Each Click Count University. Andy was named to The Best of Los Angeles Award's Most Fascinating 100 List in both 2020 and 2021.New episodes of the Make Each Click Count Podcast, are released each Friday and can be found on Apple Podcast, iHeart Radio, iTunes, Spotify, Stitcher, Amazon Music, Google Podcasts and www.makeeachclickcount.com.

Plus, Lions Gate Entertainment signs deal with AI startup to build custom tools for movie and TV production. And Google notches a win after a European court overturns a $1.7 billion antitrust fine. Danny Lewis hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

The speed at which your customer data moves is critical to your success in shaping the customer experience, and the interoperability between your CDP and your other critical martech systems can make the difference between a good and great experience. Today, we're diving deep into the fast-evolving world of first-party data and customer data platforms with Justin DeBrabant, Chief Product Officer at ActionIQ. Justin is Chief Product Officer at ActionIQ. He spent his formative years building large distributed systems to support data science and analytics and holds a Ph.D. in Databases from Brown University where he researched the forefront of modern data systems. For the last 10+ years, he has been passionate about building data-driven products that help realize the value of customer data by delivering truly customer-centric experiences.RESOURCESConnect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss the Mid-Atlantic MarCom Summit, the region's largest marketing communications conference. Register with the code "Agile" and get 15% off.Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnowThe Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Hosted on Acast. See acast.com/privacy for more information.

The speed at which your customer data moves is critical to your success in shaping the customer experience, and the interoperability between your CDP and your other critical martech systems can make the difference between a good and great experience. Today, we're diving deep into the fast-evolving world of first-party data and customer data platforms with Justin DeBrabant, Chief Product Officer at ActionIQ. Justin is Chief Product Officer at ActionIQ. He spent his formative years building large distributed systems to support data science and analytics and holds a Ph.D. in Databases from Brown University where he researched the forefront of modern data systems. For the last 10+ years, he has been passionate about building data-driven products that help realize the value of customer data by delivering truly customer-centric experiences. RESOURCES Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Don't miss the Mid-Atlantic MarCom Summit, the region's largest marketing communications conference. Register with the code "Agile" and get 15% off. Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company