Podcasts about Teradata

In this episode of Builders Wanted, we're joined by Sumeet Arora, Chief Product Officer at Teradata. Sumeet shares his insights on the importance of speed and innovation in the fields of data analytics and AI, emphasizing how Teradata delivers impactful business results by transforming complex data challenges into actionable solutions. The discussion dives into product leadership principles, the balance between speed and reliability, and the evolving landscape of analytics.-------------------Key Takeaways:Building strong systems and focusing on velocity enables organizations to innovate quickly without sacrificing quality.Trustworthy, well-modeled data and clear, measurable outcomes are essential for successful AI and analytics.The best product improvements come from listening to customers, obsessing over their problems, and being willing to rethink or remove features.-------------------“ I think it's equally important for people in my role to not just build a great product, but also build it fast. It has to be fast and excellent, both. And doing things faster in this era means that you have to also treat velocity as a product itself.  It's almost like setting up the right system and then great things come out.” – Sumeet Arora-------------------Episode Timestamps:‍*(02:06) - Defining the mission of a builder ‍*(03:12) - Velocity as a product ‍*(07:51) - The shift to invisible, frictionless analytics ‍*(23:04) - Lessons from product failures ‍*(34:28) - Quick hits-------------------Links:Connect with Sumeet on LinkedInConnect with Kailey on LinkedInLearn more about Caspian Studios-------------------SponsorBuilders Wanted is brought to you by Twilio – the Customer Engagement Platform that helps builders turn real-time data into meaningful customer experiences. More than 320,000 businesses trust Twilio to transform signals into connections—and connections into revenue. Ready to build what's next? Learn more at twilio.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The promise of agentic AI has been massive, autonomous systems that act, reason, and make business decisions, but most enterprises are still struggling to see results.In this episode, host Chris Brandt sits down with Sumeet Arora, Chief Product Officer at Teradata, to unpack why the gap exists between AI hype and actual impact, and what it takes to make AI scale, explainable, and ROI-driven.From the shift toward “AI with ROI” to the new era of human + AI systems and data quality challenges, Sumeet shares how leading enterprises are moving from flashy demos to measurable value and trust in the next phase of AI. CHAPTER MARKERS00:00 The AI Hackathon Era03:10 Hype vs Reality in Agentic AI06:05 Redesigning the Human AI Interface09:15 From Demos to Real Economic Outcomes12:20 Why Scaling AI Still Fails15:05 The Importance of AI Ready Knowledge18:10 Data Quality and the Biggest Bottleneck20:46 Building the Customer 360 Knowledge Layer23:35 Push vs Pull Systems in Modern AI26:15 Rethinking Enterprise Workflows29:20 AI Agents and Outcome Driven Design32:45 Where Agentic AI Works Today36:10 What Enterprises Still Get Wrong39:30 How AI Changes Engineering Priorities55:49 The Future of GPUs and Efficiency Challenges -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Live from POSSIBLE by Teradata with Sumeet Arora, Chief Product Officer. had a blast chatting with him about five things: Trends. New announcements. Data and AI trends inside the enterprise. Real use cases. What is next for the industry.New announcements -- - Autonomous Customer Intelligence. Turning customer signals into timely actions across the journey.- NewtonX research on AI for customer experience. Where leaders are investing and where gaps still exist.Trends in Data and AI- Moving from pilots to production with tighter links between trusted data and AI.- Clear governance and cost control built in from the start.Use cases- Retention and growth with real-time signals and simple next best actions.- Smarter personalization without copying data all over the place.Future- Faster paths from idea to impact.- Smaller, focused teams shipping measurable outcomes.#data #ai #possible2025 #teradata #theravitshow

WOW! It was so nice to meet the man himself and even interview him on The Ravit Show at Possible 2025, Steve McMillan, President and CEO of Teradata. Getting this time on camera felt special.We kept it human and future focused:- His favorite Possible moment and what it revealed about the crowd- The one belief he hopes people take home and act on- When ideas strike for him, morning or night- The place he goes to dream bigger- What is still on his “possible” bucket listBetween the lines, you will hear the direction Teradata is setting:-- Moving from snapshots to signals so decisions fire in real time-- A cleaner path from data products to activation across the stack-- Agents that don't just chat but lift outcomes like CLV-- Guardrails and services that help teams run this at scale-- A builder mindset with new tools on the waIf you care about where enterprise CX is heading, you will want to hear this one. I have also shared the link to all announcements from Possible 2025!!!!#data #ai #possible2025 #teradata #theravitshow

In this episode of TECHtonic, TSIA's Executive Director and EVP Thomas Lah sits down with Alex Console, SVP of Global Support Services at Teradata, to explore what it takes to support one of the most complex customer environments in the tech industry. From hybrid deployments and legacy systems to cutting-edge AI integration, Console shares how Teradata is redefining customer support as a strategic driver of value—not just a safety net.Listeners will hear how Console's team uses telemetry, observability, and AI-driven automation to ensure availability, optimize performance, and deliver measurable customer outcomes. The conversation also dives into structured problem-solving, predictive analytics, and the evolving role of support in the age of AI.Whether you're reimagining your support operations or driving next-level customer value, this episode is packed with insights to guide your journey.

In this episode, Adaora Okeleke, Principal Analyst and expert in AI and data management platforms, speaks with Laurent Laisney, Telecoms Industry Strategist at Teradata. Together, they explore how hybrid data cloud deployment models can help telecoms operators to modernise their data environments and scale AI adoption. They draw on insights from Analysys Mason's Modernising CSPs' data architectures for network analytics/AI-driven automation to discuss: the factors slowing down operators' adoption of AI how hybrid data cloud can address these challenges the key requirements operators should consider when deploying hybrid models. This discussion offers clear, actionable perspectives for decision makers on the role of hybrid data cloud in enabling AI adoption in the telecoms industry.

What's up everyone, today we have the pleasure of sitting down with Aditi Uppal, Vice President, Digital Marketing and Demand Generation at Teradata.(00:00) - Intro (01:15) - In this Episode (04:03) - How to Use Customer Conversations to Validate Marketing Data (10:49) - Balancing Quantitative Data with Customer Conversations (16:14) - Gathering Customer Insights From Underrated Feedback Channels (22:00) - Activating Voice of Customer with AI Agents (29:09) - Voice of Customer Martech Examples (34:48) - How to Use Rapid Response Teams in Marketing Ops (39:07) - Building Customer Obsession Into Marketing Culture (43:44) - Why Voice of Customer Works Differently in B2B and B2C (48:26) - Why Life Integration Works Better Than Work Life Balance Summary: Aditi shows how five honest conversations can reshape how you read data, because customer language carries context that numbers miss. She points to overlooked signals like product usage trails, community chatter, sales recordings, and event conversations, then explains how to turn them into action through a simple pipeline of capture, tag, route, track, and activate. Tools like BrightEdge and UserEvidence prove their worth by removing grunt work and delivering usable outputs. The system only works when culture supports it, with rapid response channels, proposals that start with customer problems, and councils that align leaders around real needs. Blend the speed of B2C listening with the discipline of B2B execution, and you build strategies grounded in reality.About AditiAditi Uppal is a data-driven growth leader with over a decade of experience driving digital transformation, product marketing, and go-to-market strategy across India, Canada, and the U.S. She currently serves as Vice President of Digital Marketing and Demand Generation at Teradata, where she leads global strategies that fuel pipeline growth and customer engagement. Throughout her career, Aditi has built scalable marketing systems, launched partner programs delivering double-digit revenue gains, and led multi-million-dollar campaign operations across more than 50 technologies. Recognized as a B2B Revenue Marketing Game Changer, she is known for blending strategy, operations, and technology to create high-performing teams and measurable business impact.How to Use Customer Conversations to Validate Marketing DataDashboards create scale, but they do not always create confidence. Aditi explains that marketers often stop at what the model tells them, without checking whether real people would ever phrase things the same way. Early in her career she spent time talking directly to retailers, truck drivers, and mechanics. Those interactions were messy and slow, filled with handwritten notes, but they gave her words and patterns that no software could generate. That language still shapes how she thinks about campaigns today.She argues that even a small number of conversations can sharpen a marketer's decisions. Five well-chosen interviews can give more clarity than months of chasing analytics dashboards. Once you hear a customer describe a problem in their own terms, the charts you already have feel more trustworthy. As Aditi put it:“If you get an insight that says this is their pain point, it helps so much to hear a customer saying it. The words they use resonate with them in ways marketers' words often do not.”She points out that B2C teams benefit from built-in feedback loops since their channels naturally keep them closer to customers. B2B teams, on the other hand, often hide behind personas and assumptions. Aditi suggests widening the pool by talking to students and early-career professionals who already use enterprise software. They may not be buyers today, but they become decision makers tomorrow. Those conversations cost almost nothing and create raw material more valuable than agency-produced content.She frames the real task as choosing the right method for the right question. If you want to refine messaging, talk to your most active customers. If you want to understand adoption patterns, run reports. If you want to pressure test a product roadmap, combine both and compare the results. Decide upfront what you need and when you need it. Then continue adjusting, because customer understanding is not a one-time project, it is an ongoing discipline.Key takeaway: Use customer conversations as a validation layer for your data. Pair five direct interviews with your dashboards, and you gain language, context, and trust that numbers alone cannot provide. Always define why you need an insight, then pick the method that gets you there fastest. That way you can build messaging, campaigns, and roadmaps grounded in reality rather than in assumptions.Balancing Quantitative Data with Customer ConversationsMarketers keep adding dashboards, yet confidence in the numbers rarely grows. Aditi argues that a few customer conversations often do more to build certainty than a warehouse of metrics. Early in her career she spent long days interviewing retailers, truck drivers, and mechanics. She filled notebooks with their words, then worked through the mess to find common threads. The process was slow, but it created clarity that still guides her perspective today.“You do not need hundreds of those conversations. You just need five, and you will come out so much more confident in the data you are looking at.”That perspective challenges a common assumption in B2B marketing. Models can predict buying intent, but they cannot capture the urgency or tone that customers bring to their own words. Dashboards may flag data scientists as target buyers, yet when you sit with an aspiring data scientist, you hear frustrations and motivations that algorithms miss. Real language often carries sharper meaning than the polished words marketers invent for campaigns.Aditi warns that relying only on quantitative signals pushes teams into a self-referential loop. Marketers build strategies based on metrics, then describe those strategies in their own buzzwords. Direct conversations break that loop. Even five interviews can ground your messaging, highlight gaps in the data, and validate where models are directionally right. B2C teams often benefit from tighter feedback loops through customer-facing channels. B2B teams need to create their own versions of those loops by talking to users directly, including students and early-career practitioners who represent the next generation of decision makers.Every stage of marketing benefits from this practice. Roadmaps become sharper, content becomes more resonant, and campaign ideas carry more weight when tested against real voices. Customer interviews cost little compared to polished content campaigns, yet they create a foundation of confidence that technology alone cannot replicate.Key takeaway: Five direct customer conversations can build more confidence than a room full of dashboards. Capture the exact words your buyers use, compare them with your data models, and use both inputs together. That way you can validate your metrics, sharpen your messaging, and trust that your strategy connects with the people who matter most.Gathering Customer Insights From Underrated Feedback ChannelsMarketers love surveys. They love sending out NPS links, post-purchase forms, and satisfaction checkboxes that make dashboards look busy. Aditi is blunt about the limits of this ritual. A buying committee has users, influencers, and decision makers. Each group has different needs, and you cannot lump them into a single “customer voice.” If you want useful signals, you have to decide who you are li...

There are very few people like Stephen Brobst, a legendary tech CTO and "certified data geek," Stephen shares his incredible journey, from his early days in computational physics and building real-time trading systems on Wall Street to becoming the CTO for Teradata and now Ab Initio Software. Stephen provides a masterclass on the evolution of data architecture, tracing the macro trends from early decision support systems to "active data warehousing" and the rise of AI/ML (formerly known as data mining). He dives deep into why metadata-driven architecture is critical for the future and how AI, large language models, and real-time sensor technology will fundamentally reshape industries and eliminate the dashboard as we know it. We also chat about something way cooler, as Stephen discusses his three passions: travel, music, and teaching. He reveals his personal rule of never staying in the same city for more than five consecutive days since 1993 and how he manages a life of constant motion. From his early days DJing punk rock and seeing the Sex Pistols' last concert to his minimalist travel philosophy and ever-growing bucket list, Stephen offers a unique perspective on living a life rich with experience over material possessions. Finally, he offers invaluable advice for the next generation on navigating careers in an AI-driven world and living life to the fullest.

Carl Eschenbach joined Workday in December 2022 to serve as co-CEO alongside Co-Founder Aneel Bhusri before becoming sole CEO in February 2024. In this episode, our North America Chair and senior partner, Eric Kutcher, talks with Carl about taking a ‘co-existence’ view of the role of AI in the workforce as a source of productivity, building an endurable company with a growth mindset culture, and the responsibility of leaders to serve the success of others. Related Insights Becoming CEO—just in time for a global crisis: David Gitlin How Judy Marks leads Otis Worldwide Corporation through uncertainty and technological evolution Data, analytics, and decisions: An interview with Teradata’s CFO Palo Alto Networks CFO on AI, cybersecurity, and the finance leader’s mandate The Strategic CEO newsletterSupport the show: https://www.linkedin.com/showcase/mckinsey-strategy-&-corporate-finance/See www.mckinsey.com/privacy-policy for privacy information

"Customers are now expecting highly personalised, seamless, and efficient interactions across all the touch points,” stated Rahul Sareen, the Senior Leader–Cross Industry, Private Equity and Startups Solutions at Amazon Web Services (AWS). Sareen's statement represents the state of customer experience (CX) today. It's a demand that is forcing businesses to completely rethink how they engage with customers.In the recent episode of the Don't Panic It's Just Data podcast, John Santaferraro, CEO and Head Research Analyst at Ferraro Consulting, speaks to Gary Class, Industry Strategist, Financial Services at Teradata and Sareen. They discussed how data, AI, and hyper-personalisation are reshaping customer experience (CX). The time of one-size-fits-all customer service is long over. Sareen emphasises this change by quoting Jeff Bezos: "If you have 4.5 million customers, then you cannot just build one store. You have to build 4.5 million stores." This isn't just about dividing customers into groups; it's about providing a truly unique and personal experience for each person. How AI is Enhancing Customer Experience (CX)Alluding to the use of gen AI and AI agents in customer experience (CX), Class highlights a key application of AI – analysing unstructured data. He says, “The one time that customers tell you what they really want and need, it's on the phone." By "grafting the unstructured data analysed through speech and text onto the structured data," businesses get equipped with rich insights on untapped possibilities. Overall, it also provides a 360-degree preview of the customer experience (CX), which allows for increased proactive and custom developments.AI agents are set to take hyper-personalisation to new heights, the podcast guests believe. Alluding to the pros, Sareen points to their "predictive and proactive nature," which lets AI agents "identify and resolve issues before even customers are aware of them." Imagine a situation where a device automatically finds a problem, starts a support case, identifies a solution, and even applies a fix—all in real-time and without any input from the customer. Sareen calls this the "Nirvana state" of AI-driven customer service. It promises a smooth and genuinely smart experience.Unified Platform for Simplified Quality DataSimplifying how we manage raw data and turn it into quality data in a single system is critical for meeting the needs of AI in customer experience (CX).This is where Teradata comes in. Class says the company's approach centres on "harvesting all the data that you can collect in a conformed and harmonised framework." Their strategy includes providing industry-specific data models and leveraging the "capacity of a relational database engine that can deal with complexity at...

Would you work out if you didn't gain any health benefit from it? Probably not. Yet this is exactly what we're asking our teams to do with organizational change.If you're ready to connect the dots between executive vision and frontline execution for your org, you won't want to miss this week's episode of The Only Constant with James Hoch (Sr. Director of Transformation & Strategy, Teradata) and Nellie Wartoft ----Connect with:⁠⁠⁠⁠⁠⁠⁠⁠Nellie Wartoft⁠⁠⁠⁠⁠⁠⁠⁠CEO of ⁠⁠⁠⁠⁠⁠⁠⁠Tigerhall⁠⁠⁠⁠⁠⁠⁠⁠Chair of the ⁠⁠⁠⁠⁠⁠⁠⁠Executive Council for Leading Change (ECLC)⁠⁠⁠⁠⁠⁠⁠⁠nellie@tigerhall.com

This Day in Legal History: Henderson v. United States DecidedOn June 5, 1950, the United States Supreme Court issued its decision in Henderson v. United States, 339 U.S. 816 (1950), a significant civil rights ruling concerning racial segregation in interstate transportation. Elmer W. Henderson, an African American passenger, had been denied equal dining services on a train operated by the Southern Railway Company under a policy that enforced segregation. Although a dining car had a partition supposedly to accommodate Black passengers, in practice Henderson was often unable to access equivalent service due to timing and seat availability.The case reached the Supreme Court after the Interstate Commerce Commission failed to provide meaningful relief. In a unanimous opinion written by Justice Fred Vinson, the Court held that the railway's practices violated the Interstate Commerce Act, particularly its provision requiring carriers to provide equal treatment and avoid undue prejudice. Importantly, the Court based its reasoning not on constitutional grounds (such as the Equal Protection Clause of the 14th Amendment), but on statutory interpretation, finding that the carrier's conduct constituted an unjust and unreasonable discrimination.This ruling marked an early and important step toward dismantling legally sanctioned segregation in public accommodations, prefiguring later landmark decisions like Brown v. Board of Education (1954). Although not framed as a constitutional equal protection case, Henderson nonetheless contributed to the legal groundwork of the civil rights movement and challenged the legitimacy of the “separate but equal” doctrine in practical terms.SAP, Europe's largest software company, has petitioned the U.S. Supreme Court to overturn a decision that revived an antitrust lawsuit brought by its competitor, Teradata. The case centers on allegations that SAP unlawfully tied its business-planning applications to a required purchase of its own database software, which competes with Teradata's products. SAP argues that such software integration benefits consumers and constitutes healthy competition, not anti-competitive conduct.The lawsuit was initially filed by California-based Teradata in 2018 after the companies ended a joint venture. SAP had prevailed in the lower court, but the 9th U.S. Circuit Court of Appeals reversed that decision in December, stating a jury should decide the case. SAP's petition criticizes the appellate court's reliance on a version of the “per se rule,” under which the conduct is presumed illegal without a detailed analysis. Instead, SAP advocates for applying the more nuanced “rule of reason” standard, which considers both competitive harms and justifications.SAP also claims the ruling conflicts with how a different federal appeals court treated a similar antitrust issue in the historic Microsoft case. The Supreme Court has not yet decided whether to hear the case.This case hinges on the concept of “tying,” where a company conditions the sale of one product on the purchase of another, potentially stifling competition. It's significant because whether courts apply a strict “per se” rule or the more flexible “rule of reason” can dramatically affect the outcome in such antitrust disputes.Tech giant SAP asks US Supreme Court to reconsider rival's antitrust win | ReutersA federal judge in Washington, D.C., has dismissed a lawsuit filed by three Democratic Party committees accusing President Donald Trump of trying to undermine the independence of the Federal Election Commission (FEC). U.S. District Judge Amir Ali ruled that the Democratic National Committee, the Democratic Senatorial Campaign Committee, and the Democratic Congressional Campaign Committee failed to demonstrate any “concrete and imminent injury” necessary to sustain a legal challenge.The lawsuit, filed in February 2025, contested an executive order issued by Trump that aimed to increase White House control over independent federal agencies, including the FEC. The order stated that the legal views of the president and the attorney general would be “controlling” for federal employees and prohibited them from expressing opposing positions. Democrats claimed this language threatened the FEC's independence and could deter campaign planning.Judge Ali, however, noted that administration lawyers had assured the court that the executive order would not be used to interfere with the FEC's decision-making. He also found the plaintiffs' concerns too speculative, emphasizing that the Supreme Court requires a demonstrated change in the relationship with the agency in question, which the plaintiffs had not shown.The judge's decision hinged on the plaintiffs' lack of standing, a fundamental requirement in federal court. To proceed with a lawsuit, plaintiffs must show a specific, actual, or imminent injury caused by the defendant. In this case, speculative harm and vague concerns about agency behavior were insufficient. This principle helps prevent courts from weighing in on political disputes where no direct harm can be proven.Trump defeats Democrats' lawsuit over election commission independenceThe Trump administration is pursuing a new $25 million contract to allow U.S. Immigration and Customs Enforcement (ICE) to conduct DNA testing on families facing deportation. The goal, according to ICE, is to verify family relationships—but critics warn the program could lead to unnecessary family separations, especially in cases involving non-biological caregivers like godparents. Civil rights advocates also raise concerns that the DNA data could be misused for unrelated criminal investigations and stored indefinitely.The contract was initially awarded in May to SNA International, a firm specializing in forensic identification. However, Bode Cellmark Forensics filed a protest with the Government Accountability Office, arguing the contract wasn't competitively bid. ICE subsequently issued a stop-work order on the contract pending resolution of the protest, with a decision expected by September 2.This is not ICE's first attempt at rapid DNA testing. A similar program began in 2019 during Trump's first term to detect alleged “fraudulent” parent-child relationships, often targeting migrant families. Though handed over to Customs and Border Protection in 2021, the Biden administration ended it in 2023. Reports since then have highlighted issues with consent, with some migrants mistaking DNA swabs for COVID-19 tests or feeling coerced into participation under threat of legal consequences.Privacy advocates argue that such widespread collection of genetic data lacks transparency and oversight. The Georgetown Law Center on Privacy and Technology recently sued the Department of Homeland Security for failing to provide records on how DNA samples from migrants are collected and stored.The revived DNA testing raises key legal questions about informed consent and the scope of data use by federal agencies. When individuals are unaware of what they're consenting to—or coerced into it—the practice may violate federal standards for ethical data collection, especially under the Privacy Act and due process protections.ICE Moves to DNA-Test Families Targeted for Deportation with New Contract This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.minimumcomp.com/subscribe

980: “Enterprise data platforms must evolve to express context to AI systems.” In this episode of Technovation, Peter High speaks with Louis Landry, Chief Technology Officer at Teradata, a $1.75B cloud analytics and AI data platform. Louis shares how Teradata is reshaping its core platform to meet the demands of the AI era through open, hybrid architectures, vector search integration, and mixed workload optimization. A 11-year veteran of the company, Louis reflects on Teradata's evolution from centralized analytics to a hybrid, multi-cloud powerhouse, and what it means to support some of the world's largest banks, airlines, and healthcare providers. He also offers insight into agentic AI, data-centric intelligence, and model-sharing futures.

Tracy Moore is a seasoned leader in Data and AI and the General Manager of AI & Data at MYOB. With 26 years of experience, she's been instrumental in building and leading AI and data teams to drive real impact. Her career spans major organizations like Skandia Life, Barclays Bank, ANZ, Teradata, Deloitte, KPMG, Xero, and Telstra.We're unpacking some big questions—have businesses truly tapped into the power of Big Data? How can data storytelling bridge the gap? And with AI chatbots dominating the scene, what's next for ethical AI, especially after controversial moments like Elon Musk's Grok-3 in India?

In this episode of Game Time Tech, Robert Kramer and Melody Brue, VP and Principal Analysts at Moor Insights & Strategy, dive into the intersection of sports and technology. Explore how cutting-edge technologies like AI, data analytics, and personalized fan experiences are transforming Major League Baseball, The Masters Golf Tournament, and the Intuit Dome. Highlights include: MLB's Data Evolution with Google Cloud: Data and AI are enhancing fan engagement, team strategies, and broadcasting through platforms like Google Cloud's BigQuery. Masters Golf Tournament's AI Innovations: IBM's Generative AI is powering predictive insights for fans with features like "Every Shot" and "Every Hole" in The Masters app. Inside the Intuit Dome: A look at advanced fan experience technologies, including facial recognition for entry, autonomous stores, and real-time analytics, powered by Teradata. Mercedes-Benz's Cutting-Edge In-Car Experience: Technology is transforming connectivity, from live sports streaming to Zoom calls integrated directly into vehicles. Fan Behavior and Smart Stadiums: How data-driven technologies are shaping stadium interactions, from personalized fan experiences to autonomous retail systems.

Show Summary:In this episode of The STEM Space, Natasha sits down with Nichole Austion — children's book author and Vice President of Public Affairs at the National Math and Science Initiative (NMSI). Nichole shares the story behind her book Miles and the Math Monsters, inspired by her son's journey to overcome struggles with math, where the character discovers math to be a helpful companion intertwined in their everyday environment. Listen in as she shares an excerpt of her book and practical advice on fostering a positive math identity in children.About Nichole Austion, VP of Public Affairs at NMSI: Nichole Austion is the Vice President of Public Affairs at the National Math and Science Initiative (NMSI), where she leads marketing and government relations. With a focus on STEM advancement, Nichole orchestrates strategic initiatives, bridging marketing and government relations to amplify NMSI's impact nationwide. Her expertise stems from her work with global technology firms like Sabre Holdings and Teradata, where she drove multimillion-dollar revenue through innovative marketing strategies. She is the author of “Miles and the Math Monsters,” a children's book that transforms math into a friendly presence, encouraging children to see it as a helpful companion intertwined with their everyday environment. She holds an engineering degree from Howard University and an MBA from The University of Texas at Austin.About National Math and Science Initiative: The National Math and Science Initiative (NMSI) is a nonprofit organization dedicated to improving STEM education in the U.S. It focuses on expanding access to high-quality math and science programs, particularly for students who face barriers to educational opportunities. Since its founding in 2007, NMSI has worked with schools, teachers, and policymakers to enhance STEM learning and prepare students for careers in STEM fields.Links from the Show:Related The STEM Space Podcast Episodes166. Why Math Matters ft. CEO of NMSI179. Seeing Students as Mathematicians ft. Cherelle McKnight of Illustrative MathematicsIs Teaching Engineering Bad? - Part 1 and Part 2117. Why Does Belonging Matter in STEM Education?Vivify STEM Blog PostsTop 10 Ways To Encourage Girls In STEMHow to Teach Growth Mindset and Failing ForwardThe Importance of FailureVivify STEM LessonsFREE! - Add Math Practice to any Design Challenge using these Editable Budget SheetsCatapult ChallengeStomp Rocket ChallengeFREE! - Space for You in STEM Inspirational PostersBreak Down Stereotypes! Who is a STEM Professional? GameFREE! - Women in STEM Classroom PostersOther STEM ResourcesNichole Austion | LinkedInNational Math and Science Initiative (NMSI)Miles and the Math Monsters bookNMSI Professional Development ServicesWebinar | Breaking Boundaries: Celebrating Black Excellence in STEM (ft. Nichole Austion, Joan Higginbotham, and Dr. Ciara Sivels)THE STEM SPACE SHOWNOTESTHE STEM SPACE FACEBOOK GROUPVIVIFY INSTAGRAMVIVIFY FACEBOOKVIVIFY XVIVIFY TIKTOKVIVIFY YOUTUBE

Great CFOs don't just crunch numbers – they shape strategies, build teams, and drive transformation. Jack McCullough welcomes Claire Bramley, CFO of Teradata, to explore the journey of a true rockstar CFO. From leading Teradata's shift to cloud-based solutions to championing team diversity and breaking career barriers, Claire shares her insights on what it takes to excel in financial leadership. Whether you are a seasoned executive or an aspiring leader, this episode dives into the power of communication, the importance of storytelling in finance, and how to embrace opportunities that push boundaries.To book a demo with Planful, click here.

What will 2025 bring for enterprise technology? How will AI evolve, and what should businesses anticipate in the coming year? In this episode, I speak with Louis Landry, the newly appointed CTO of Teradata, as he shares his insights on the future of AI, data analytics, and the role of trust in technology. With more than two decades of experience in software architecture and engineering leadership, Louis has played a pivotal role in shaping Teradata's innovation strategy. Having led the company's Technology and Innovation Office, his focus now extends to scaling AI-driven solutions that empower businesses with trusted intelligence. As we look ahead, what will be the defining trends of 2025? Louis explores the growing impact of retrieval-augmented generation, the evolution of large-scale personalization, and the next phase of AI model efficiency. He also delves into the rise of agentic AI systems—where generative AI merges with traditional software to create more autonomous, intelligent processes. But with rapid advancements come pressing concerns. How can organizations ensure AI remains explainable, transparent, and aligned with ethical standards? Louis emphasizes the importance of people-centered accountability, measurable business impact, and the foundational role of trusted data in AI's success. As AI continues to reshape industries, businesses must navigate regulatory challenges, balance innovation with risk, and rethink their approach to data governance. Beyond AI, Louis discusses the role of open-source technology in enterprise environments, the shift from project-focused to outcome-driven AI adoption, and how organizations can harness data harmonization to unlock new opportunities. He also shares his thoughts on the strategic investments businesses should prioritize in an increasingly complex digital world. As AI and analytics continue to evolve, what strategies will define industry leaders in 2025? How can businesses stay ahead while ensuring AI remains trustworthy and effective? Tune in to hear Louis Landry's perspective, and let us know your thoughts. How do you see AI shaping the business landscape in the coming year?

 Welcome to the season finale of VirtuallyLive! The Podcast!  In this special episode, we wrap up an incredible season by bringing together insights from leaders at top companies like IBM, Nasdaq, Mayo Clinic, Adobe, Salesforce, Bloomberg, Workday, Teradata, Novartis, Siemens Healthineers, AstraZeneca, and Red Hat. Together, they share their predictions on how generative AI is transforming industries and shaping the future of work, education, and healthcare.   From the ethics of AI to practical applications like digital twins, personalized healthcare, and smarter decision-making, this episode offers a thoughtful look at the innovations shaping industries today and into the future.   Don't forget to like, comment, and subscribe

Jacqueline Woods is the Chief Marketing Officer for Teradata, the cloud analytics and data platform for AI, headquartered in San Diego, California. Jacqueline joined Teradata from NielsenIQ, where she was a member of the executive leadership team and Global Chief Marketing and Communications Officer. She also spent nearly 10 years as CMO of the IBM Global Partner Ecosystem Division, where she focused on building cloud, data, AI, and SaaS strategies. Before that, she was Global Head of Customer Segmentation & Customer Experience at General Electric and also held roles of increasing responsibility at Oracle for 10 years, as well as leadership roles at Ameritech and GTE, now Verizon. Thankfully, Jacqueline has always loved math, because, as she points out, marketing today is based mostly on data. However, she also emphasizes the importance of empathy and notes that it is essential in creating a space where people can be authentic and drive innovation, productivity, and product design. In this episode, Alan and Jacqueline talk about where trust fits into the AI conversation, what leaders need to know before launching an AI initiative, and how AI can boost efficiency and productivity. Jacqueline also tells us why underrepresented people, like black female business leaders, need to be involved in AI as it evolves.  While AI has been around for a while, it became all the rage at the end of 2022 with public access to tools like ChatGPT. AI is based on patterns, some factual and some non-factual. So that poses the question: how do we trust AI?  That's where Teradata comes in. By having responsible people create the models, take responsibility, and think critically about the training, governance, and outcomes, Teradata is focused on building the trust required to use artificial intelligence, generative artificial intelligence, and large language models for their “global 10,000” clientele, like American Airlines and United Healthcare. These companies rely on Teradata for their cloud data and analytics workloads. Teradata has been stewards of trusted information and data since they were founded about 40 years ago, and they believe people thrive when empowered with better and entrusted information. In this episode, you'll learn about: Why is empathy important for marketers? The importance of clean data  Why do underrepresented people have to participate in the evolution of AI? Key Highlights: [02:10] What is empathy? [03:45] Why marketers need empathy  [07:00] How a love of math led her to marketing  [10:30] Her path to Teradata [13:15] Teradata's focus and mission for mankind [14:20] Teradata's clients, services, and use cases  [19:00] How can business leaders ensure AI can be trusted? [21:50] What do leaders need to do before launching an AI initiative? [26:45] Remaining authentic while using AI [30:20] Creative AI use cases as workforce multipliers and how that may change work in the US [33:00] Why underrepresented groups need to participate in AI  [36:20] What we can all learn from Moe [40:55] Advice to her younger self [41:45] “Of course it's Ai!” [42:10] Watching the shifting nature of work [44:40] Can you explain what marketing does and why it's important? Looking for more?Visit our website for the full show notes, links to resources mentioned in this episode, and ways to connect with the guest! Become a member today and listen ad-free, visit https://plus.acast.com/s/marketingtoday. Hosted on Acast. See acast.com/privacy for more information.

In this episode of AI, Government, and the Future, host Max Romanik is joined by Meeta Vouk, VP of Product Management AI and Analytics at Teradata and Former Director Product Management and Development AI for IBM Z, to discuss the critical aspects of AI governance, ethical implementation, and bias mitigation. Meeta shares insights from her extensive experience in developing AI solutions while addressing key challenges in hallucination prevention and regulatory frameworks.

Jacqueline Woods is the Chief Marketing Officer at the software company Teradata. She has a unique vantage point as both a CMO herself and as someone who works with other companies every day to better leverage technology, data, and artificial intelligence. She explains how companies can think more strategically about their AI implementation, where personalization is heading next, and the most effective use cases for impacting customers. For Further Reading: Learn more about Jacqueline: https://www.linkedin.com/in/jacqueline-woods-361477/Trust Me I'm a Robot: How AI Can Improve Brand Stickiness (Fast Company): https://www.fastcompany.com/91194920/trust-me-im-a-robot-how-ai-can-improve-brand-stickinessCustomer Complaint Analyzer Demo Video: https://www.teradata.com/insights/videos/customer-complaint-analyzer Listen on your favorite podcast app: https://pod.link/1715735755

How will specialized AI agents collaborate to outperform general AI? - A deep dive into Theoriq's vision for decentralized agent collectives with founder Ron Bodkin, former Google Cloud CTO office lead. This in-depth conversation between Luke Saunders and Ron Bodkin explores: - Why specialized agent collectives may outperform general AI systems - The technical foundations of agent collaboration and evaluation - How Theoriq enables permissionless agent development and discovery - The role of decentralization in ensuring safe and ethical AI development - Future implications for autonomous AI systems and agent coordination - Insights from Ron's experience at Google, Teradata, and Vector Institute The discussion provides valuable perspective on how decentralized networks of specialized AI agents could provide an alternative to centralized AI development, with a focus on modular, community-driven innovation and proper governance structures. Watch more sessions from Crypto x AI Month here: https://delphidigital.io/crypto-ai --- Crypto x AI Month is the largest virtual event dedicated to the intersection of crypto and AI, featuring 40+ top builders, investors, and practitioners. Over the course of three weeks, this event brings together panels, debates, and discussions with the brightest minds in the space, presented by Delphi Digital. Crypto x AI Month is free and open to everyone thanks to the support from our sponsors: https://olas.network/ https://venice.ai/ https://near.org/ https://mira.foundation/ https://www.theoriq.ai/ --- Follow the Speakers: Luke Saunders on Twitter/X ► https://x.com/lukedelphi Ron Bodkin on Twitter/X ► https://x.com/ronbodkin --- Chapters 00:00 Introduction and Sponsor Acknowledgments 00:52 Introduction of Ron Bodkin, Founder of Theoriq AI 01:17 Ron's Background in AI and Big Data 04:28 Ron's Experience at Google and AI Development 07:35 The Impact of Transformers and GPT-3 on AI 11:32 Defining AI Agents and Their Capabilities 15:31 The Concept of Agent Collectives 18:38 The Future of AI and AGI 25:00 Concerns About AI Safety and Development 28:23 Overview of Theoriq AI's Agent Base Layer 30:54 Evaluators in Theoriq's System 34:08 Permissionless Nature of Theoriq's Platform 36:14 Developer Experience and SDK for Theoriq 39:33 Optimizers and Agent Collectives 41:48 Future of Autonomous AI Agents 44:22 Discussion on Truth Terminal and AI Autonomy 47:34 Call to Action and Closing Remarks Disclaimer All statements and/or opinions expressed in this interview are the personal opinions and responsibility of the respective guests, who may personally hold material positions in companies or assets mentioned or discussed. The content does not necessarily reflect the opinion of Delphi Citadel Partners, LLC or its affiliates (collectively, “Delphi Ventures”), which makes no representations or warranties of any kind in connection with the contained subject matter. Delphi Ventures may hold investments in assets or protocols mentioned or discussed in this interview. This content is provided for informational purposes only and should not be misconstrued for investment advice or as a recommendation to purchase or sell any token or to use any protocol.

Generative AI and unstructured data are transforming how businesses improve customer experiences and streamline internal processes. As technology evolves, companies find new ways to gain insights, automate tasks, and personalize interactions, unlocking new growth opportunities. The integration of these technologies is reshaping operations, driving efficiency, and enhancing decision-making, helping businesses stay competitive and agile in a rapidly changing landscape. Organizations that embrace these innovations can better adapt to customer needs and market demands, positioning themselves for long-term success.In this episode, Doug Laney speaks to Katrina M. Conn, Senior Practice Director of Data Science at Teradata, and Sri Raghavan, Principal of Data Science and Analytics at AWS, about sustainability efforts and the ethical considerations surrounding AI. Key Takeaways:Generative AI is being integrated into various business solutions.Unstructured data is crucial for enhancing customer experiences.Real-time analytics can improve customer complaint resolution.Sustainability is a key focus in AI resource management.Explainability in AI models is essential for ethical decision-making.The combination of structured and unstructured data enhances insights.AI innovations are making analytics more accessible to users.Trusted AI frameworks are vital for security and governance.Chapters: 00:00 - Introduction to the Partnership and Generative AI02:50 - Technological Integration and Market Expansion06:08 - Leveraging Unstructured Data for Insights08:55 - Innovations in Customer Experience and Internal Processes11:48 - Sustainability and Resource Optimization in AI15:08 - Ensuring Ethical AI and Explainability23:57 - Conclusion and Future Directions

In this episode of VirtuallyLive! The Podcast, top industry leaders from Salesforce, Teradata, Bloomberg, and Workday come together to explore the "Three I's" — Impact, Inclusion, and Innovation. Get ready for a conversation filled with personal stories, real-world experiences, and insights that bridge the worlds of data, technology, and leadership. Each speaker reveals a game-changing decision that shaped their career or transformed their organization. Tune in to discover how innovation and data-driven strategies are shaping the future of business and digital experiences! Don't forget to like and subscribe!

Join Tony Safoian, CEO of SADA, as he sits down with Steve McMillan, CEO of Teradata, for a deep dive into the dynamic world of cloud security, AI innovation, and the transformative power of strategic partnerships. In this episode of the Cloud and Clear podcast, Tony and Steve explore the unique challenges and opportunities of transitioning legacy systems to the cloud, unlocking AI's potential, and the future of enterprise technology. Don't miss this insightful conversation on the cutting edge of cloud security and AI, and the strategic partnership driving innovation in the space. Join us for more content by liking, sharing, and subscribing!

This week, we're joined by Scott Herren, Executive Vice President and Chief Financial Officer of Cisco Systems, and Eric Kutcher, Senior Partner and Chair of McKinsey & Company, North America. They discuss the rationale for Cisco's recent acquisition, the role of CFOs in driving change within a company, the impact of AI on finance, and the current geopolitical and economic climate. Related insights: The Seasons of the CFO Palo Alto Networks CFO on AI, cybersecurity, and the finance leader's mandate Data, analytics, and decisions: An interview with Teradata's CFODiscover our latest insights and join more than 92,000 influential professionals who are part of our LinkedIn community: https://www.linkedin.com/showcase/mckinsey-strategy-&-corporate-finance/See www.mckinsey.com/privacy-policy for privacy information

Trusted AI ensures that people, data, and AI systems work together transparently to create real value. This requires a focus on performance, innovation, and cost-effectiveness, all while maintaining transparency. However, challenges such as misaligned business strategies and data readiness can undermine trust in AI systems. To build trusted AI, it's crucial to first trust the data. A robust data platform is essential for creating reliable and sustainable AI systems. Tools like Teradata's ClearScape Analytics help address concerns about AI, including issues like generative AI hallucinations, by providing a solid foundation of trusted data and an open, connected architecture.In this episode, Doug Laney, Analytics Strategy Innovation Fellow with West Monroe Partners, speaks to Vedat Akgun, VP of Data Science & AI and Steve Anderson, Senior Director of Data Science & AI at Teradata, about trusted AI. Key Takeaways:Value creation, performance, innovation, and cost-effectiveness are crucial for achieving trusted AI.Trusting data is essential before building AI capabilities to avoid biases, inaccuracies, and ethical violations.A robust data platform is a foundation for creating trusted and sustainable AI systems.Generative AI raises concerns about hallucinations and fictitious data, highlighting the need for transparency and accountability.Teradata offers features and capabilities, such as ClearScape Analytics and an open and connected architecture, to address trust issues in AI.Chapters:00:00 - Introduction and Defining Trusted AI01:33 - Value Creation and the Importance of Driving Business Value03:27 - Transparency as a Principle of Trusted AI09:00 - Trusting Data Before Building AI Capabilities14:51 - The Role of a Robust Data Platform in Trusted AI21:09 - Concerns about Trust in Generative AI23:03 - Addressing Trust Issues with Teradata's Features and Capabilities25:01 - Conclusion

 Creating Value with TeradataThe Big Themes:Open Table Formats: Datasets are one of the most common ways that organizations use open table formats, as it enables them to combine several types of data and access that data. Open table formats are improving performance which will help drive a more flexible, low-cost storage option for enterprises. Having this level of customer choice will drive greater adoption and outcomes for customers deploying open table formats over time.Trusted AI: Trusted systems require access to data, but it must be properly managed data. Open table formats can help with trusted data progression, such as reducing data duplication by consolidation and providing a single place of oversight. As open table formats match agility and flexibility with the appropriate levels of governance, it can deliver trusted outcomes that overflow into providing trusted AI.Driving Customer Value and Success: Providing customers with opportunities for success is the ultimate driver. For example, Teradata supported a call center that wanted to improve customer satisfaction and outcomes based on the call center data. Teradata provided the organization with text analytics, large language models, and more being driven through a Teradata analytic model engine that provides real-time advice to agents.The Big Quote: “We've always said, ‘Whoever has access to the most data can win in the analytics space.' So, open table formats are a key component of really helping companies create an environment of trust around the data because without trusted data, you can't have trusted AI.”

With Apple going all in on AI to boost its next round of hardware and services with Apple Intelligence, data is needed now more than ever—massive data. More data than one company can provide, if they hope to make AI services quickly and efficiently do what's asked, without getting bogged-down. Another California company attacking AI plumbing problems is Teradata, one of the largest cloud analytics platforms with a focus on harmonizing data. Starting as a hardware company, making things like the first system over 1 terabyte for Walmart, Teradata has transitioned into a software company, with 7,000 employees in 41 countries who delivered $1.8 Billion in revenue last year. On this episode of the Reboot Chronicles, Teradata CEO Steve McMillan, unpacks how he has rebooted the company and brought it into the 21st century. Listen in as we discuss how they made that transition, how AI is impacting their growth, his personal journey, and where they may end up in the revolutionary times ahead.

 Trusted AI Models and StrategiesThe Big Themes:Data reliability: After conducting a survey, Teradata found that 40% of executives don't trust their own data to generate accurate AI outputs. AI requires traceability and transparency around where data comes from. Teradata helps combat this disconnect by providing access and opportunities for companies to use their data in more compelling ways to achieve the business outcomes they're looking for.3 Pillars of AI: Teradata recognizes people, transparency, and value creation as three core elements of AI. Having clean data that you can trust is critical. Ensuring ROI on the AI investments to create value is essential. Having a process that provides better compliance, governance, and security is vital.AI strategy: Business leaders and the C-suite must understand their own inputs and outputs to make the company better. Teradata believes in building Trusted AI models to ensure businesses have outputs they can rely on.The Big Quote: “We believe that trusted AI is really the way that people, data, and AI work together...Ultimately, it is the responsibility of the people that are managing those environments, using that data to ensure and determine that it's used in the right purposes."

When data plays a vital role in the enterprise, effectively using analytics to drive business value is crucial. Today, we're joined by Steve Fiore, Senior Director of Customer Experience at Teradata, who will share insights into how analytics and AI are shaping enterprise strategies and personal productivity. 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

In this episode we dive into the complexities of establishing and scaling an effective ABM program – including the challenges, strategies, and keys to success.

If you're trying to demonstrate value in a new category or sell a new solution like AI, then this podcast is for you. We pulled together three segments on the topic featuring:Neeraj Agrawal - General Partner, Battery VenturesKeno Helmi - CRO, EspressiveChris Degnan - CRO, SnowflakeADDITIONAL RESOURCESFor more information on Selling in a New Category, check out Force Management's eBook: https://hubs.li/Q02GXNTZ0Tune in and learn more about this episode of The Revenue Builders Podcast.HERE ARE SOME KEY SECTIONS TO CHECK OUT[00:01:28] Understanding market transitions and spotting opportunities.[00:03:01] Challenges of new technologies as solutions looking for problems.[00:04:29] Investing in new product areas and the importance of timing.[00:05:07] The role of POVs in selling complex technologies.[00:06:06] Different sales motions: Provoking interest vs. competing in an active market.[00:07:52] Qualifying economic buyers before a POV.[00:11:12] Realities of selling new technology at a startup.[00:13:24] Strategies for targeting early customers and overcoming competition.[00:15:14] Key customers that helped shape Snowflake's success.HIGHLIGHT QUOTES[00:01:46] "Spotting these transitions and being there at the right point is a key component here."[00:03:01] "New technologies as solutions looking for a problem must be the harder ones to guess."[00:05:07] "Sharing a POV or a POC is critically important when you're selling a technology your customers may not understand."[00:06:56] "If I have a brand new technology that customers may not understand, I can alleviate a lot of their concerns by doing a POV."[00:11:32] "There's a misperception if you're a salesperson that you can go into an early stage startup and make a ton of money."[00:14:09] "Teradata was almost arrogant... They let the cloud sideswipe them."

Need help to make your marketing efforts truly effective in today's noisy digital landscape? Look no further. Tune in as Jacqueline Woods, Teradata's Chief Marketing Officer, shares her data-driven approach to modern marketing strategy! In this episode, Jacqueline Woods shares her insights on targeted marketing, segmentation, and the science behind successful marketing campaigns. We'll cover: Why precise targeting is crucial in today's crowded marketing landscape. How to effectively segment your audience by role, industry, and solution. How lower barriers to entry have increased competition. The power of a three-dimensional marketing matrix in reaching your customers. Why understanding different roles' priorities is key to effective messaging. How to leverage insights from one industry to innovate in another. Why marketing should be data-driven and intentional. Why some low-ROI activities might still be strategically important. How to balance data-driven decisions with strategic considerations. Why understanding customer needs is the foundation of successful selling. How to articulate your unique value proposition effectively. The critical importance of intentional, data-backed marketing decisions. How to avoid common pitfalls in pricing and promotion strategies. Follow Mark: LinkedIn: https://hi.switchy.io/markdrager Instagram:  https://hi.switchy.io/KcKi Want more free tools? Go to our podcast page at https://hi.switchy.io/KcKe  

Justin Borgman, Co-Founder and CEO of Starburst, explores the cutting-edge world of data management and analytics. Justin shares insights into Starburst's innovative use of Trino and Apache Iceberg, revolutionizing data warehousing and analytics. Learn about the company's journey, the evolution of data lakes, and the role of data science in modern enterprises. Episode Overview: In Episode 86 of Great Things with Great Tech, Anthony Spiteri chats with Justin Borgman, Co-Founder and CEO of Starburst. This episode dives into the transformative world of data management and analytics, exploring how Starburst leverages cutting-edge technologies like Trino and Apache Iceberg to revolutionize data warehousing. Justin shares his journey from founding Hadapt to leading Starburst, the evolution of data lakes, and the critical role of data science in today's tech landscape. Key Topics Discussed: Starburst's Origins and Vision: Justin discusses the founding of Starburst and the vision to democratize data access and eliminate data silos. Trino and Iceberg: The importance of Trino as a SQL query engine and Iceberg as an open table format in modern data management. Data Democratization: How Starburst enables organizations to perform high-performance analytics on data stored anywhere, avoiding vendor lock-in. Data Science Evolution: Insights into what it takes to become a data scientist today, emphasizing continuous learning and adaptability. Future of Data Management: The shift towards data and AI operating systems, and Starburst's role in shaping this future. Technology and Technology Partners Mentioned: Starburst, Trino, Apache Iceberg, Teradata, Hadoop, SQL, S3, Azure, Google Cloud Storage, Kafka, Dell, Data Lakehouse, AI, Machine Learning, Big Data, Data Governance, Data Ingestion, Data Management, Capacity Management, Data Security, Compliance, Open Source ☑️ Web: https://www.starburst.io ☑️ Support the Channel: https://ko-fi.com/gtwgt ☑️ Be on #GTwGT: Contact via Twitter @GTwGTPodcast or visit https://www.gtwgt.com ☑️ Subscribe to YouTube: https://www.youtube.com/@GTwGTPodcast?sub_confirmation=1 Check out the full episode on our platforms: YouTube: https://youtu.be/kmB_pjGb5Js Spotify: https://open.spotify.com/episode/2l9aZpvwhWcdmL0lErpUHC?si=x3YOQw_4Sp-vtdjyroMk3Q Apple Podcasts: https://podcasts.apple.com/us/podcast/darknet-diaries-with-jack-rhysider-episode-83/id1519439787?i=1000654665731 Follow Us: Website: https://gtwgt.com Twitter: https://twitter.com/GTwGTPodcast Instagram: https://instagram.com/GTwGTPodcast ☑️ Music: https://www.bensound.com

In this episode of the Thoughtful Entrepreneur, your host Josh Elledge speaks to the Co-founder of Neocore and Author of Content Capitalist, Michael Becker.Michael Becker is involved with NeoCore, a pioneering technology company based in Dubai, as part of the Antler pre-launch accelerator program. The company is developing earbuds that can detect brainwaves to tailor content experiences innovatively. Their team, including a physicist and a neuroscientist, aims to make advanced technology accessible to consumers.Michael discussed the evolution of technology through various "epochs of computing," from the invention of the microchip to the advent of the iPhone. He described NeoCore's mission to lead the next technological phase, focusing on integrating AI and brain-computer interfaces. This could transform our interactions with technology by making it more intuitive and attuned to our cognitive states.He also stressed the importance of creating high-quality content in different formats, such as blogs and videos. Michael advocates treating content creators like brand journalists and using multimedia to enhance visibility. He believes adopting a sophisticated content and outreach approach is essential for effective lead generation.Key Points from the Episode:Michael Becker and his company NeoCoreExplanation of the brainwave-detecting earbuds and their connection to personalized contentVision and goals for NeoCore in the future of technology and AIOverview of Michael Becker's book "Content Capitalist" and its relevance to B2B SaaS and content strategyImportance of high-quality content creation and its impact on inbound lead generationFuture trends in content marketing, including the use of AI and personalized contentExamples and case studies of successful content strategies and their impact on businessesMichael's book "Content Capitalist" and its potential transformational impactAbout Michael BeckerMichael Becker is a versatile professional whose career spans corporate achievements and personal growth. Initially, he contributed significantly to Teradata, playing a vital role in a $90 million sale in 2016. He then moved to Emarsys, where his efforts in expanding the branded media program were instrumental in SAP's acquisition of $500 million in 2019. His early work also includes being the first content hire at Sharpen, although specific achievements at this company need to be detailed.In parallel to his corporate success, Michael experienced a profound spiritual awakening in 2018, which marked a pivotal shift in his life. Motivated to share his new-found insights, he established a theme page that quickly grew to 60,000 followers. Leveraging this platform, he transitioned into mentoring, coaching over 30 conscious entrepreneurs and launching an eLearning program. His international lifestyle as a digital nomad in Mexico and Costa Rica culminated in the successful sale of his brand in 2023, setting the stage for his next entrepreneurial endeavors.About Neocore:Neocore is a pioneering startup that develops consumer-grade brain-computer interface (BCI) technology, specifically through EEG-detecting earbuds paired with a connected mobile app. Their technology aims to transform how users interact with digital devices by utilizing cognitive data to enhance user experiences. Neocore's innovations are designed to elevate human agency through cognitively guided device interfacing and amplify neural potential with a chat interface that adapts to individual cognitive patterns.The company has...

Join us in today's episode of the HR Leaders podcast as we welcome Kathy Cullen-Cote, Chief People Officer at Teradata.Kathy shares her extensive experience and innovative strategies in human resources, discussing the crucial role of evolving company culture to enhance diversity and inclusivity within the workforce.

Ever feel like you're drowning in data but not sure where to start? I see many businesses just doing, doing, doing, without truly taking the time to stop and understand their marketing numbers. And then they're left wondering, “Why isn't my profit going up?”, “Why isn't my revenue going up?”, or “Why is my revenue going up but my profit is declining?”A recent survey by Teradata revealed that 87% of marketers consider data to be their most underutilized asset. So today, I'm sharing how we can harness the power of marketing metrics strategically to steer your business towards growth and profitability. Tune in to find out which key metrics you need to track and how you can streamline the process while gaining valuable insights to optimize your marketing efforts.SHOW NOTES:https://themichellefernandez.com/podcast/285FREE LIVE TRAINING: How To Get More Customers & Revenue In A Predictable Way (without throwing money away on ads!)Connect with me on InstagramConnect with me on FacebookVisit my websiteP.s. Utilizing an all-in-one tool like OptimaFunnels will streamline your sales process, helping you track leads, automate follow-ups, and ultimately increase your conversion rates. Sign up today and revolutionize your sales approach with OptimaFunnels—your gateway to effortless sales success!

For this week's episode, Jacquelyn interviewed Scott Dykstra, CTO and co-founder of Space and Time. Before diving into web3, Scott spent almost 8 years at the cloud analytics and data platform Teradata and throughout the years he held roles of senior architect, director of cloud solutions and worked his way up to VP of the firm's global cloud.As for Space and Time, the company aims to be a verifiable compute layer for web3 that scales zero-knowledge proofs, or ZK proofs, on a decentralized data warehouse. Zero-knowledge proofs are a cryptographic action used to prove something about a piece of data, without revealing the origin data itself. Space and Time has indexed data both off-chain and on-chain from Ethereum, Bitcoin, Polygon, Sui, Avalanche, Sei and Aptos and is adding support for more chains to power the future of AI x blockchain. This episode is wrapping up Chain Reaction's monthly series diving into different topics and themes in crypto. This month's focused on blockchain and AI integrations.Jacquelyn and Scott discuss Space and Time's origin story, how data warehouses work in Web2.0 vs web3 and the importance of data transparency.They also dive into: Blockchain and AI potentialIts OpenAI and blockchain data developments Future use cases for data and on-chain AIAdvice throughout the bull and bear markets Chain Reaction comes out every Thursday at 12:00 p.m. ET, so be sure to subscribe to us on Apple Podcasts, Spotify or your favorite pod platform to keep up with the action.

Jacqueline Woods is the Chief Marketing Officer for Teradata, the cloud analytics and data platform for AI, headquartered in San Diego, California. Jacqueline joined Teradata from NielsenIQ, where she was a member of the executive leadership team and Global Chief Marketing and Communications Officer. She also spent nearly 10 years as CMO of the IBM Global Partner Ecosystem Division, where she focused on building cloud, data, AI, and SaaS strategies. Before that, she was Global Head of Customer Segmentation & Customer Experience at General Electric and also held roles of increasing responsibility at Oracle for 10 years, as well as leadership roles at Ameritech and GTE, now Verizon. Thankfully, Jacqueline has always loved math, because, as she points out, marketing today is based mostly on data. However, she also emphasizes the importance of empathy and notes that it is essential in creating a space where people can be authentic and drive innovation, productivity, and product design.In this episode, Alan and Jacqueline talk about where trust fits into the AI conversation, what leaders need to know before launching an AI initiative, and how AI can boost efficiency and productivity. Jacqueline also tells us why underrepresented people, like black female business leaders, need to be involved in AI as it evolves. While AI has been around for a while, it became all the rage at the end of 2022 with public access to tools like ChatGPT. AI is based on patterns, some factual and some non-factual. So that poses the question: how do we trust AI? That's where Teradata comes in. By having responsible people create the models, take responsibility, and think critically about the training, governance, and outcomes, Teradata is focused on building the trust required to use artificial intelligence, generative artificial intelligence, and large language models for their “global 10,000” clientele, like American Airlines and United Healthcare. These companies rely on Teradata for their cloud data and analytics workloads. Teradata has been stewards of trusted information and data since they were founded about 40 years ago, and they believe people thrive when empowered with better and entrusted information.In this episode, you'll learn about:Why is empathy important for marketers?The importance of clean data Why do underrepresented people have to participate in the evolution of AI?Our Sponsor:Download Emailtooltester's free comparison spreadsheet to find the best email marketing service for your business.Key Highlights:[02:10] What is empathy?[03:45] Why marketers need empathy [07:00] How a love of math led her to marketing [10:30] Her path to Teradata[19:00] How can business leaders ensure AI can be trusted?[21:50] What to do before launching an AI initiative?[26:45] Remaining authentic using AI[30:20] Creative AI use cases as workforce multipliers[33:00] Why underrepresented groups need to participate in AI [36:20] What we can all learn from Moe[41:45] “Of course it's Ai!”[42:10] Watching the shifting nature of work[44:40] Can you explain what marketing does and why it's important?Looking for more?Visit our website for the full show notes, links to resources mentioned in this episode, and ways to connect with the guest! Become a member today and listen ad-free, visit https://plus.acast.com/s/marketingtoday. Hosted on Acast. See acast.com/privacy for more information.

Every week on Pipeline Visionaries, we sit down with amazing marketing leaders to uncover the pipeline strategies that have been fundamental to their success. In each episode, we ask these guests which three areas of investment are most important to their marketing strategies. Tune into this special series to hear the budget items our CMO guests can't live without!Find parts one, two, three, four, five, six, seven, eight and nineEpisode Timestamps: *(01:37): Grant Johnson, CMO at Billtrust*(04:22): Jessica Gilmartin, CMO at Calendly*(06:11): Megan McDonagh, CMO at Amperity*(07:17): Shafqat Islam, CMO at Optimizely*(08:42:) Efrat Ravid, CMO at Quantum Metric*(10:59): Orlando Baeza, CMO & CRO at Flock Freight*(13:32): Jenny Victor, CMO at Epicor*(16:18): Jessica Shapiro, CMO at LiveRamp*(19:09): Jacqueline Woods, CMO at Teradata*(21:24): Brad Rinklin, CMO at Infoblox*(24:33): Celia Fleischaker, CMO at isolved  Sponsor:Pipeline Visionaries is brought to you by Qualified.com, the #1 Conversational Marketing platform for companies that use Salesforce and the secret weapon for pipeline pros. The world's leading enterprise brands trust Qualified to instantly meet with buyers, right on their website, and maximize sales pipeline. Visit Qualified.com to learn more.Links:Connect with Ian on LinkedInLearn more about Caspian Studios

In today's episode, we're resharing Dheeraj Pandey's popular session from ELC Annual 2023 on the disciplined pursuit of less! As the Co-Founder, CEO & Chairman of DevRev.ai, he shares how AI tools can maximize customer impact & reduce information asymmetry between various teams, including eng, customer support, product, sales, etc., ultimately creating a more customer-centric mindset. He reveals how to leverage AI to tackle “verbs,” such as classifying, routing, attributing, summarizing and more, further streamlining productivity and empowering your org to focus on customer needs.ABOUT DHEERAJ PANDEYDheeraj Pandey is the co-founder & CEO of DevRev.ai, one of the hottest startups in Silicon Valley, with over 70 million dollars in seed funding.He previously founded Nutanix (Nasdaq: NTNX), a global leader in enterprise cloud software and hyperconverged infrastructure solutions, and currently sits on the board of Adobe (Nasdaq: ADBE) and is a member of their Audit Committee.Dheeraj co-founded Nutanix in 2009 and led as its CEO and Chairman for 11+ years. Boasting the largest software IPO in 2016, Nutanix is now a multi-billion dollar company with thousands of employees in over 60 countries. Pandey has been recognized with prestigious industry awards, including Dell's Founders 50 and the E&Y Entrepreneur of the Year, Silicon Valley.Before founding Nutanix, Pandey was the VP of engineering at Aster Data (now Teradata). His technology and enterprise software experience include engineering and leadership roles at Oracle, Zambeel and Trilogy Software. Pandey has been recognized with several prestigious industry awards, including Dell's Founders 50 and the E&Y Entrepreneur of the Year, Silicon Valley. Pandey holds a degree in Computer Science from the Indian Institute of Technology (IIT), Kanpur,  and an M.S. in Computer Science from the University of Texas at Austin. In addition, he was a Graduate Fellow of Computer Science at the University of Texas at Austin Ph.D. program."In my last company, we had brought almost 7,000 employees together. My biggest job was to really bring all the VPs together. What does it mean for them to work together, behave well together, and respect each other? And it's all because there were all these silos of departments. If you look at the power of AI, AI knows no boundaries. If anything, it needs the entire knowledge graph and the knowledge graph of customers and product and people and their work, not just people on the inside, but also users and their activities on the outside. That's a big problem that we all have to go and solve for.”- Dheeraj Pandey   This episode is brought to you by testRigor!testRigor is trusted by tens of thousands of companies across the globe, including Netflix, Splunk, BusinessWire, and more to solve three main problems with end-to-end test automation:It's challenging, expensive, and slow to hire QA Automation EngineersLow productivity building your own QA AutomationFragile tests, that cause maintenance to consume enormous amounts of timetestRigor solves all of the above by allowing our users to express test cases in plain EnglishTo learn more, check out a case study on testRigor hereSign up for a free trial today at testrigor.comSHOW NOTES:The role of essentialism in software dev & company building (1:52)Dheeraj's experience fostering a customer-centric approach in all teams (4:22)Commonly used tools & why they fall short for full eng functions (7:20)Why it's important to connect AI, analytics & collaboration features (10:15)How AI can help solve information asymmetry (13:12)Using AI for analytics to help make teams more customer-centric (15:14)Audience Q&As: A day in the life of a PM using LLMs in an interactive discussion (18:03)Tips for educating users to provide better prompts when using GenAI (22:50)How would a company typically use the DevRev product? (24:38)DevRev's object model of support (27:21)Is DevRev capable of answering arbitrary questions once data is uploaded? (28:36)Methods used to measure performance w/ DevRev (30:02)Creating multiple namespaces w/in the same index to host multi-tenant data (31:10)Qualitative & quantitative benefits DevRev offers to its customer base (33:39)LINKS AND RESOURCESVideo Version of EpisodeAll of the Sessions from ELC AnnualThis episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

In this episode of Infrastructure Matters, host Krista Macomber, alongside her co-hosts Camberley Bates and Steve Dickens review Broadcom's Analyst Event with the CEO of Broadcom Hock Tan and the VMware executive team. The crew reviewed the implications for Broadcom's strategy and their expected R&D investments. Camberley discussed the latest in Dell's Partner Program for fiscal year 2025 and where their APEX services are headed with the partners. Plus the Teradata progress with Vantage and implications of their earnings report. Key points discussed include: Coverage on Broadcom's hosted a virtual analyst meeting keynoted by Hock Tan, emphasizing strategic focus and investments VMware's partnership with Google on subscription licensing and portability aims to simplify and enhance offerings Dell's partner programs and changes in business models for partners, particularly in the context of Dell's APEX partner program adjustments The importance of customer adoption, technology execution, and embracing AI in companies' strategies, specifically focusing on Teradata's transition to Vantage and the integration of AI into their analytics offerings Teradata's pivot to the cloud with Vantage, boasting a 48% increase in cloud annual recurring revenue   

Jon and Pete Najarian on today's episode of Rebel's Edge as they discuss stocks including Tripadvisor spiking on a potential takeover, Carl Icahn's 9.9% stake in JetBlue, UOA in Teradata, and Children's Place in big trouble. Gain a deeper understanding of these stocks as Jon and Pete share their perspectives, potential growth prospects, and market predictions. They also talk about the return of Indiana State basketball, and Harbaugh going to the Chargers. Stay on the cutting edge with Rebel's Edge.

This episode features an interview with Jacqueline Woods, CMO of Teradata and David Chan, Managing Director of Deloitte Digital. Jacqueline is an executive with 30 years of experience leading marketing efforts at Fortune 100 companies including IBM, GE, Oracle, and Verizon. David has spent his career partnering with clients to digitally transform their organizations by enabling key CX capabilities to creatively solve complex business problems.In this episode, Kailey sits down with Jacqueline and David for a panel discussion on the top CX trends, AI predictions for the year ahead, and omni-channel, real-time personalization.-------------------Key Takeaways:According to Jacqueline, data is more like water than oil. In order for AI to have real impact, your data needs to be clean with a traceable lineage.While real-time personalization is important to customers, what matters most is the messages being delivered to them are contextually relevant to their experience.With the world going cookieless, you should measure how much your business relies on third party cookies and then figure out how much to invest in first party data services to support the gap.-------------------“I often talk about data – it's not like oil. To me, it's more like water. You have a lot of water that's not usable. You have a lot of things in data today that aren't usable. Now, in order for AI to be really impactful in your organization, it has to start with data. Do you have clean data? Is that data pristine? Do you know the lineage of the data? Because, AI is nothing if it doesn't have clean data to essentially build intelligence off of, particularly when you talk about generative AI.” – Jacqueline Woods“Everyone wants real-time personalization. What that means is the data has to be real-time collected. Data has to be real-time processed. Data has to be real-time curated to be made of some sort of business sense to then activate on in real-time. To me, what matters more is less about whether it's real-time, because just faster is not always better. It's about how contextually relevant the message is being returned to the customer from the brand. That is more meaningful.” – David Chan-------------------Episode Timestamps:‍*(03:44) - Jacqueline and David's career journeys*(07:27) - AI trends in 2024*(26:43) - The need for omni-channel, real-time personalization*(34:57) - Trust and privacy‍*(44:05) -  2024 CX predictions*(52:22) - Jacqueline and David's recommendations for staying ahead of the CX curve-------------------Links:Connect with Jacqueline on LinkedInConnect with David on LinkedInConnect with Kailey on LinkedInLearn more about Caspian Studios-------------------SponsorGood Data, Better Marketing is brought to you by Twilio Segment. In today's digital-first economy, being data-driven is no longer aspirational. It's necessary. Find out why over 20,000 businesses trust Segment to enable personalized, consistent, real-time customer experiences by visiting Segment.com

In this intimate discussion, four alumni participants of the Black Woman Leading Mid-Career (Samira Payne, Keira Braxton, Trenity Dobbey) and Early Career (Tiana Bryan-Okeke) programs  share their stories of conquering mindset matters and doing their heart work along their professional journeys.   Together, we explore mindset concepts that we navigate as leaders such as leaning into a growth mindset, overcoming negative thinking, challenging your internal saboteur, conquering fears, and aligning your “come from.” They share how they leaned into community and accessed collective healing to support them during this work, and their key takeaways from their experience in the Black Woman Leading program. Join us to reflect on your own journey, celebrate your growth, and build your own resolve as we explore the inner work that goes into being a thriving leader.   Guest Bios: ::Tiana Bryan-Okeke Living her life to the beat of Alien Superstar by Beyonce, Tiana Bryan-Okeke has created her own path. This CUNY Medgar Evers College alumnus has 5+ years of executive support allowing leaders across industries to focus on and execute their mission and vision.  While streamlining operations and building cohesive teams; Her passion for project management allows her to transform fragmented systems into interconnected workflows that break down silos across expanding initiatives. After joining the inaugural cohort for the BWL Early Career, she has aspirations to continue being luminous while sharing her talents to help others execute their strategic plans.  Connect with Tiana on LinkedIn.   ::Keira Braxton (formerly Brown) Keira, a native San Diegan, is a passionate and dedicated Human Resources professional with a wealth of experience in developing and implementing HR strategies that align with business goals. She is recognized as an experienced workshop facilitator and is known for her ability to translate complex concepts into practical advice that business leaders can use to build and maintain high-performing workforces. In addition to her work as a People Business Partner, Keira serves as a member of the DEI advisory board at Teradata where she provides guidance and recommendations on the company's DEI initiatives.  She also serves as chair for the community outreach, networking and events steering committee for the San Diego chapter of Teradata Alliance of Black employees (TABE). As a leader in the DEI space, Keira is committed to helping organizations create more inclusive workplaces where everyone feels valued and respected. Connect with Keira on LinkedIn.   ::Trenity Dobbey Trenity K. Dobbey, a seasoned professional with over a decade of experience in social and human services, holds a Master's in Criminal Justice. Her journey began in corporate America, managing financial portfolios for major banks, before transitioning to a impactful role at the Chicago Children's Advocacy Center. There, she skillfully managed the citywide intake line for child abuse reports, showcasing exceptional skills in handling sensitive cases. Currently, at DFSS City of Chicago, Trenity oversees a diverse portfolio of 50+ agencies citywide, managing a $10 million annual budget within the Workforce Services Division. Her strategic vision and hands-on management style have left a lasting impact on the lives of Chicago residents. Building on her extensive professional and personal background, Trenity is an accomplished life coach. Drawing on her extensive experience, she offers practical guidance rooted in real-world expertise, uniquely positioning herself to drive transformative outcomes for individuals and organizations alike. Connect with Trenity on LinkedIn.   ::Samira Payne Samira is currently the Director of Community Revitalization and Network Education at Rebuilding Together, a national nonprofit that supports safe and healthy housing in communities across the country. She participated in the Mid-Career Black Woman Leading Program in Fall 2023. Connect with Samira on LinkedIn.   Resources: Programs: We are now enrolling for the January 2024 sessions of our Mid-Career and Early Career leadership development programs.  Learn more at https://blackwomanleading.com/programs-overview/ Event: Join us for the Black Woman Leading LIVE! Conference +Retreat, May 13-16, 2024 in Virginia Beach! Learn more at bwlretreat.com Credits: Learn more about our consulting work with organizations at https://knightsconsultinggroup.com/ Email Laura: laura@knightsconsultinggroup.com Connect with Laura on LinkedIn Follow BWL on LinkedIn Instagram: @blackwomanleading Facebook: @blackwomanleading Podcast Music & Production: Marshall Knights  Graphics: Téa Campbell Listen and follow the podcast on all major platforms: Apple Podcasts Spotify Stitcher iHeartRadio Audible Podbay

So much of the way data is used happens without us even knowing it. And the power of data is beyond comprehension. At Teradata, Erica Hausheer and her team are trying to harness that power and make lives better — even if you don't realize they're doing it. On this episode, Erica details the ways data, AI, and other innovative technologies are transforming the way we live and work.Tune in to learn:How Teradata is improving your life without you even knowing it (4:00) What it takes to understand and execute high-impact jobs (9:00) The evolution of digital transformation (14:00) The juxtaposition between product development and IT (25:00) Fighting against bad data (30:00) Mission.org is a media studio producing content for world-class clients. Learn more at mission.org.

This episode features an interview with Jacqueline Woods, CMO at Teradata, the connected multi-cloud data platform for enterprise analytics, solving data challenges from start to scale.In this episode, Jacqueline talks about the new age of personalization, why AI should not be held accountable, and reminds us that data in technology is only as good as the data put into it. Jacqueline also shares how data is like water and paints a picture of her vision for a unified, frictionless customer experience. Key Takeaways: Personalization is key. One size does not fit all, so dimensional personalization has become so much more important in recent years. There are greater expectations amongst customers when it comes to their digital experiences and how they engage with companies, and it's important to be aware of these changes and leverage them in marketing strategies.AI isn't responsible. When we talk about “responsible AI” we have to remember that it cannot be responsible - it's a technology. So, AI can be trusted, but people need to be responsible. And when people are responsible, they can begin to create an environment of trust for users.Prepare for the AI driven enterprise. Teradata's estimate is that AI will drive most of our experiences by 2030 and a lot of companies feel disorganized in this area. Data is currently extremely siloed, so the first step is to cultivate a connected enterprise.Quote: “How do you know you're moving the needle? I mean, when we started this conversation with Forbes, it literally was around the same time last year, and my pitch to them was the following: There are a lot of people that say data is the new oil, data is gold, data is this, and I said, you know, my own belief is that data is like water is because this planet is over 72% water. That is what the earth is comprised of. The usable water that you can use on this planet is 2.5%. Most of that is in glaciers, which means that the real usable fresh water is 3 tenths of 1%. And so when you think about data, and all the data that's out there in the world, about 90% of the data is like data that's duplicated or replicated and how much of the core data is new data and information that you can use? And when you distill it down, it probably is very similar to water where the usable data that you can use, once you filtered it, cleaned it, harmonized it, associated it with the right things is probably less than 2 or 3% and that takes a lot of work. And at the end of the day, our thematic or our core belief is that we believe that people thrive when empowered with the right information. People don't always necessarily use the right information when they get it. But if they had it, and they were able to use it, they would actually be better off.”Episode Timestamps: *(05:06) - The Trust Tree: The cloud has changed marketing forever*(30:05) - The Playbook: AI needs to be trusted and people need to be responsible*(46:57) - The Dust Up:*(49:54) - Quick Hits: Jacqueline's Quick HitsSponsor:Pipeline Visionaries is brought to you by Qualified.com, the #1 Conversational Marketing platform for companies that use Salesforce and the secret weapon for pipeline pros. The world's leading enterprise brands trust Qualified to instantly meet with buyers, right on their website, and maximize sales pipeline. Visit Qualified.com to learn more.Links:Connect with Ian on LinkedInConnect with Jacqueline on LinkedInRead: Enterprise 2030: Building the AI-powered company of the futureLearn more about TeradataLearn more about Caspian Studios

You don't need to have an unlimited budget to make remarkable marketing content. In fact, it's better if you're working under some constraints. We have proof.The folks over at Wistia did a little experiment they called One, Ten, One Hundred. They made an ad for the same product (Wistia's Soapbox video recorder) on three different budgets: $1,000, 10,000 and 100,000 dollars, to see which one would perform best. And in this episode, we're giving you the inside scoop on what they found. You'll be surprised at the result.Today, we're showing you how combining a bit of inventiveness with a touch of resourcefulness is more powerful than just throwing money at your marketing. Because when cash is a bit strapped, that's when you're forced to get creative. And it's that creativity that resonates with viewers. That's what we're talking about today with Chris Sheen, Director of Content and Social at Celonis. So take out your scissors and craft paper for this episode of Remarkable.About our guest, Chris SheenChris Sheen is Director of Content and Social at Celonis. He joined Celonis in February of 2022. Prior to his current role, he served as CMO at Sideways 6 and SaleCycle. He has also worked at Teradata and Experian. He is based in London.About CelonisCelonis is the global leader and pioneer in process mining. They pioneered the process mining category 10 years ago and the company is now valued at over $13 billion dollars - decacorn status no less. About One, Ten, One HundredOne, Ten, One Hundred is a Webby Award-winning four-part documentary in which video software company Wistia challenges video production company Sandwich Video to make three ads on different budgets: 1,000, 10,000 and 100,000-dollars. The goal was to explore the impact budget has on creativity in video ads. Wistia then measured ad performance and audience reaction to gauge success of each. It was also a way to advertise for Wistia's tool, Soapbox, which is a video creation tool for SMBs.The metrics they tuned into were traditional demographics, engagement data, cost per customer acquisition and return on investment.The idea for Wistia's documentary came about because their production team realized they didn't have a good understanding of the money-in-money-out ratio. Wistia Founder and CEO, Chris Savage said, “Our production team felt that creativity was the single most important element in producing an effective video and this fits in with our vision to grow through creativity.”What B2B Companies Can Learn From One, Ten, One Hundred:Show the “making of” process behind your product.  There's an appeal to seeing a transformation from beginning to end. Ian says, “We like to know the process of making something. The making of something is just as interesting, or even more interesting, than the final asset. People like to watch transformation. They like inside information.” Chris says that it also shows the humanity behind the product, behind the company. He says, “I think B2B companies can just feel like a faceless organization that has a product, that has software. But when you show the making of things, like one of my favorite easy tricks is showing an outtake at the end of a video. It's a, you know, a five second outtake. It shows the human side, it shows the mistake and it completely changes how you feel very quickly about the brand, about the company.” Showing the process humanizes your brand and makes it more appealing to potential customers.Play up how long your product was in development. This conveys to your audience a sense of your specialty and standards of excellence in the industry. Chris says, “Apple and Dyson really show you the level, the hours, the days, years, months, they've gone into making their products, really crafting what they do and the art behind it. Like, ‘We've perfected this. We weren't going to ship it until it was ready.' This is so powerful as a marketing technique. Because it works. It really makes you feel like, ‘Okay, this is going to be something special.” So show the rigor that went into crafting your product.Edutain your audience. Don't just try to educate them. Make it fun. Chris says, “Great content marketing is like entertainment. You've got to know your audience to do that well. Wistia really does. How many companies sat there thinking, ‘We'd love to have a great explainer video for our website, but we just don't have the budget'? I watched [the documentary] and I'm literally thinking, ‘I need to get my craft papers out. I'm going to steal my daughter's school stuff and start making stuff to help sell Celonis.' Because it brings it to life in so many different ways.” So when you're creating content, ask yourself, “Is this educational and is it entertaining?” A good way to measure this is to ask, “Would viewers watch it in their own time?”Create something that you enjoy. Because it's likely what your audience would enjoy too. Chris says, “With Wistia, they're clearly doing it as much for themselves as anyone else. They're clearly loving it, enjoying it, learning a lot themselves. And at the end of it, you kind of feel that they've got as much out of it as I have watching it. And I think that in itself is a great sign of content. If you can do something that, when you look back, you think, ‘I think I would enjoy this if someone else had made this,' I think that's a really strong point if it fits your target market.'Quotes“When you watch [One, Ten, One Hundred], you don't feel like you're watching a piece of content marketing. And that's probably the ultimate B2B marketer's goal, or any marketer's goal really, is to make that content not feel like it's selling something. It's just selling entertainment and education.” - Chris Sheen“We always strive for perfect, don't we? We want perfection in the market. We want it to feel great and look great, sound great. Sometimes it's worth taking a step back and thinking, ‘Actually, what's going to get the message across the most authentically?”  - Chris Sheen*”Creative work has to have constraints.” - Ian Faison*”[The documentary] really was binge worthy, which is the ultimate goal for content marketing. It passes the driveway test. That's when you're listening to a song, you get to the end of your journey, you're sitting in your driveway. Do you get out of the car and just walk away, or do you stay to finish it?” - Chris SheenTime Stamps[00:54] Introducing Director of Content & Social at Celonis, Chris Sheen[1:48] Why are we talking about Wistia's One, Ten, One Hundred documentary today?[3:21] What is Wistia's One, Ten, One Hundred documentary about?[5:50] What makes the documentary remarkable?[12:51] What are some marketing lessons we can take from One, Ten, One Hundred?[30:22] What's Chris' content strategy?[36:15] What are some projects at Celonis Chris is proud of?LinksWatch One, Ten, One HundredConnect with Chris on LinkedInLearn more about CelonisAbout Remarkable!Remarkable! is created by the team at Caspian Studios, the premier B2B Podcast-as-a-Service company. Caspian creates both non-fiction and fiction series for B2B companies. If you want a fiction series check out our new offering - The Business Thriller - Hollywood style storytelling for B2B. Learn more at CaspianStudios.com. In today's episode, you heard from Ian Faison (CEO of Caspian Studios) and Meredith Gooderham (Senior Producer). Remarkable was produced this week by Meredith Gooderham, mixed by Scott Goodrich, and our theme song is “Solomon” by FALAK. Create something remarkable. Rise above the noise.