
Hosted by Evan J. Cholfin · EN
AI Speed is where AI-powered companies talk about what actually works in the market right now.
Business doesn’t move at internet speed anymore. It moves at AI speed—and the people who figure out how to turn models into money will own the next decade.

SummaryIn this episode of AI Speed, Evan Cholfin interviews Anne Murlowski, VP of Marketing at Clarivine, about the critical role of data standardization and governance in marketing, especially in the context of AI. They explore how clean, consistent data enables better measurement, personalization, and scaling of marketing efforts, and discuss the unique challenges and opportunities in marketing data management.TakeawaysData inconsistency in marketingClarivine's approach to data standardizationImpact of clean data on AI campaignsChallenges in marketing data governanceFuture trends in marketing data and AISoundbites"Business moves at AI speed""Scale campaigns with confidence""We're at an AI inflection point"Chapters00:00 Introduction to AI Speed and Clarivine00:57 The Importance of Data in Marketing03:36 Clarivine's Unique Approach to Data Governance05:38 Targeting Different Personas in Marketing06:50 Challenges in Marketing and AI Integration08:20 Communicating the Importance of Clean Data09:47 Raising Brand Awareness in a Niche Market11:21 Expanding Clarivine's Presence Across Industries12:27 Trends in Marketing Data and AI14:46 Future Goals for ClarivineVideohttps://youtu.be/LiGrs6taGs8

SummaryIn this episode of AI Speed, Evan Cholfin interviews Mang-Git Ng, founder and CEO of Anvil, about transforming paperwork processes using AI and structured data. They explore how Anvil's innovative approach simplifies document workflows, leverages AI for automation, and the future of API-driven AI solutions.TakeawaysTransforming paperwork with AI and structured dataAnvil's unique approach to document automationLeveraging AI for scalable workflowsChallenges and opportunities in automation and APIsSoundbites"Paperwork is a universal pain point.""AI agents as champions for Anvil.""The world still runs on paperwork."Chapters00:00 Introduction to AI Speed and Anvil01:15 The Paperwork Problem: A Personal Journey05:46 Anvil's Unique Approach to Document Automation10:02 Challenges in Growing Anvil13:18 Raising Awareness in a Boring Industry15:53 Exciting Trends in Automation and AI17:18 Future Aspirations for Anvil20:12 AI Speed Podcast Raw Outro 4K.mp420:28 Final Animation 1.mp4Videohttps://youtu.be/AeGncfIGEaE

SummaryIn this episode, Beth Mooney, Director of Customer Product Marketing at Fexa, shares insights on connecting product, customer insight, and go-to-market strategies to drive AI adoption in facilities management. Discover how Fexa's flexible platform and AI integration help enterprises manage operations at scale and overcome common challenges.TakeawaysFexa's platform is tailored to how businesses operate, not just a one-size-fits-all solution.Overcoming the fear factor is crucial for AI adoption; use empathy and demonstrate ROI.Understanding individual customer needs is key to effectively communicating value.AI is moving fast, and comfort with new technology is the main barrier to overcome.Success in AI integration is when customers embrace and actively use AI to solve real problems.Soundbites:"Lower the barrier by dispelling the fear factor""Job titles are being created around AI""When people embrace AI, the floodgates open"Chapters00:00Introduction to AI Speed and Guest Background02:40Vexa's Unique Approach to Facilities Management05:24Understanding Customer Challenges in Facilities Management07:44Aligning Product Marketing with Customer Expectations10:19The Role of AI in Facilities Management12:43Future Outlook and Success Metrics for VexaVideohttps://youtu.be/40GD2QArmy8

SummaryIn this episode, Evan Cholfin interviews Lisa Lu from Stellar Cyber to explore how AI is transforming cybersecurity, the company's innovative approach to market trends, and the importance of human-AI collaboration in security operations.TakeawaysAI-driven cybersecurity trendsStellar Cyber's market positioning and strategyChallenges faced by security teams todaySoundbites"Clear messaging about AI is crucial""Attackers are using AI to get smarter""AI solutions must be battle tested"Chapters00:00Introduction to AI Speed and Guest Background01:15The Importance of Cybersecurity in Today's World03:24Stellar Cyber's Unique Approach to AI and Security05:00Challenges Faced by Security Teams07:06Marketing Strategies in a Crowded Cybersecurity Market08:47Addressing Buyer Skepticism in AI Solutions11:15The Role of Human Analysts in AI-Driven Security13:26Defining Success in Cybersecurity Marketing14:50Trends vs. Hype in AI and Cybersecurity16:52Future Outlook for Cybersecurity and AIVideohttps://youtu.be/s6JrKL2T3qk

SummaryIn this episode, Evan J. Cholfin interviews Runik Mehrotra, co-founder of Vise, about how AI is transforming wealth management. They discuss hyper-personalization, technical challenges, growth strategies, and future trends in AI-driven finance.TakeawaysHyper-Personalization in Wealth ManagementAI Infrastructure EvolutionMoore's Law of AI CapabilitiesSoundbites"Each client is unique in nature.""Models are getting so much better, so fast.""Enabling personalization at scale is our big goal."Chapters00:00Introduction to AI Speed and Vize03:14The Vision Behind Vize and Hyper-Personalization06:08Challenges in Building AI Infrastructure08:46Defining Success and Future Aspirations16:43AI Speed Podcast Raw Outro 4K.mp4Videohttps://youtu.be/awNet7_DVaw

SummaryIn this episode of AI Speed, Evan Cholfin interviews Peter Byrnes, CEO of Fundraise Up, about how AI is transforming nonprofit fundraising. They discuss the origins of Fundraise Up, its unique approach to donor experience, and the future of AI in payments and nonprofit tech.TakeawaysAI-driven personalizationConversion rate optimizationData-driven donor modelingSoundbites"This is a billion dollar operation.""We've been using AI for eight years.""In 12 months, we want a big splash."Chapters00:03 Introduction to AI Speed and Fundraise Up02:09 The Birth of Fundraise Up: A Personal Journey05:20 Unique Approach: E-commerce Optimization in Nonprofits08:51 Operationalizing AI for Nonprofit Success09:43 Understanding the Ideal Customer Profile11:34 Value Proposition: Increasing Nonprofit Revenue13:32 Challenges in Growth: Hiring the Right Talent16:03 The Impact of Fundraise Up on Nonprofits16:59 Marketing Challenges and Strategies18:40 Trends in AI and Payments for Nonprofits20:58 Future Goals: Expanding into EuropeVideo https://youtu.be/2HShCZqUX18

SummaryIn this episode, Evan Cholfin interviews Mike Hideo, VP of Software Engineering at Tiny, about building scalable developer tools, the impact of AI on content management, and the future of web development. They explore Tiny's API-first approach, challenges in scaling engineering, and trends in AI-assisted software development.TakeawaysTiny's API-first approachChallenges in scaling engineeringAI's impact on content managementSoundbites"Business moves at AI speed, not internet speed.""Seamless integration reduces hesitation.""Success is delivering the right AI tools."Chapters00:00Introduction to AI Speed and TinyMCE02:30Tiny's Unique API-First Approach04:56Engineering Challenges and Team Dynamics07:00Prioritization Challenges in Software Development08:01Skepticism in Tool Adoption09:05Defining Success in Product Development10:21Trends in Software Development11:53Opportunities in Developer Tools12:51Risks and Challenges in Software Engineering13:49Looking Ahead: Future ConversationsVideohttps://youtu.be/yQTd5DUThNc

SummaryIn this episode of AI Speed, Evan Cholfin interviews Paresh Ashara, VP of Data Analytics at Quinte Financial Technologies, about how AI is transforming financial services. They discuss AI adoption challenges, innovative use cases like document discovery and automation, and the future of AI in banking.TakeawaysFinancial institutions are risk-takers in tech adoption but need a clear ROI to scale AI.AI can automate mundane tasks like document processing, saving days of manual work.High-quality data and transparency are critical for AI success in finance.Soundbites"Business moves at AI speed, not internet speed.""AI can reduce days of manual work to minutes.""Transparency and trust are key for AI models."Chapters00:00Introduction to AI Speed and Guest00:28Evan introduces Paresh Ashara and Quint Financial01:19Why Paresh was drawn to AI in finance02:29AI adoption trends in financial services04:08Quinte Financial’s approach to deploying AI07:57Core problems for financial institutions with AI09:41Paresh’s current focus and solutions13:28Document discovery and compliance automation17:04Automating loan application validation17:46The biggest challenges in AI adoption in finance22:06Trends in AI: Hype vs Reality26:28Vision for AI in 12 months28:21Closing Remarks and Future OutlookVideohttps://youtu.be/3tuuz0b8bns

SummaryFred Laluyaux, CEO of Aera Technology, explores the rise of decision intelligence and the concept of the “self-driving enterprise.” Fred breaks down why traditional enterprise systems are no longer equipped to handle the speed, scale, and complexity of modern business—and how AI is evolving from a tool for insights into a system that can make and execute decisions autonomously.TakeawaysAI is shifting from insights to actionThe future is decision-making at scaleTraditional enterprise workflows are too slow and siloedThe “self-driving enterprise” is becoming a realitySpeed is now a competitive advantageThe enterprise software playbook is being rewrittenAI is changing how decisions happen—not just who makes themNew roles like “decision architects” are emergingSoundbites“AI shouldn’t just give you insights—it should take action.”“We’re moving from people making decisions to machines executing them.”“The real shift is from dashboards to decisions.”Chapters01:29 The Birth of Decision Intelligence05:02 Aera's Unique Approach to AI and Decision Making05:52 Aero's Unique Approach to AI in Enterprises08:17 Current Focus and Market Positioning11:04 Ideal Client Profile and Market Expansion13:50 Challenges in Growth and Scaling16:21 Shifting Dynamics in Technology Adoption17:49 The Acceleration of Deployment and Implementation20:53 Interdepartmental Collaboration and Agility22:01 Scaling Challenges and Unique Value Proposition26:36 Growth Targets and Strategic Focus31:42 Trends in AI and Decision Intelligence34:54 Looking Ahead: Success Metrics for the FutureVideohttps://youtu.be/Ub9RmvLGToM

SummaryDiscover how PixForce transforms industrial inspections with AI, turning visual data into actionable insights that enhance safety and efficiency. Founder Daniel Moura shares how PixForce evolved from manual tree counting to serving giants like Petrobras with AI-powered cameras that detect issues in real time. Learn about the challenges of scaling AI in complex industries and how PixForce's PlataPix platform simplifies deployment. This episode reveals the steps to demonstrate clear ROI and leverage AI for competitive advantage, making it essential for engineers, CTOs, and innovation executives looking to revolutionize asset management.TakeawaysValidation over noveltyScaling complexityContext-aware AIAdoption hurdlesPlatform universalityMarket maturityStrategic growthSoundbites"We moved from manual processes to using deep learning for efficiency.""Our next step is US expansion, with a presence in Houston.""Large language models are making us more efficient in programming and training."Chapters00:02 Introduction - Evan introduces the show and Daniel Moura.00:33 PixForce's Mission - Applying computer vision to industry.01:27 Founding Story - How PixForce began.03:27 AI Transformation - AI's impact on PixForce.06:23 Current Focus (6:23) - Solving industry problems.18:10 Growth Plans (18:10) - US expansion and goals.21:41 AI Trends (21:41) - Exciting developments in AI.25:14 Future Goals (25:14) - Vision for success next year.Videohttps://youtu.be/nhuebPdqeso