The AI Report Podcast

Discover how Anton, one of the most experienced AI and machine learning experts in the industry, discusses his evolution from building matching algorithms at Bright.com to navigating today's AI landscape. With over a decade of experience in large-scale recommendation systems and data processing, Anton reveals how the fundamentals of big data and embarrassingly parallel computing shaped modern AI applications, and why human-centered design is now more critical than ever in building AI-powered products.Episode Timestamps:- 00:00 - Introduction and welcome- 00:47 - Anton's experience at Bright.com and the recruitment matching problem- 03:23 - The big data era, Hadoop, and Spark in the web 2.0 world- 05:00 - Embarrassingly parallel computing and large-scale data processing- 10:00 - How recommendation algorithms work at scale in recruitment- 20:00 - Evolution of the data scientist role over time- 30:00 - Building intelligent matching systems- 40:00 - Understanding user needs and organizational workflows- 50:00 - The shift toward human-centered AI design- 57:30 - Providing pre-filled content and personalization- 58:02 - Anton's vision for the future and human values- 01:01:46 - Closing thoughts on humanity and technologyAbout Anton:Anton is a veteran machine learning and AI engineer with over a decade of experience building large-scale recommendation and matching systems. He played a key role at Bright.com, a two-sided recruitment platform that pioneered transparent scoring algorithms for candidate-job matching. His expertise spans big data infrastructure, recommendation systems, user experience optimization, and the human-centered approach to AI product development.Resources Mentioned:- Hadoop and Spark (big data processing frameworks)- Big data infrastructure and cloud computing platforms- Two-sided marketplace architectures- Recommendation algorithms and matching systems- User workflow analysis toolsPartner Links:- Book Enterprise Training — https://www.upscaile.com/- Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtubeHashtags:#AIAgents #MachineLearningSystems #RecruitmentTechnology #BigData #DataScience #RecommendationAlgorithms #HadoopSpark #AIProductDesign #HumanCenteredAI #LargeScaleML #CloudComputing #AIStrategy #FutureOfWork #TechLeadership #CareerDevelopment

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Building Teams in the Age of AI: How Slack CMO Ryan Gavin is Reshaping the Future of Work

In this episode, Ryan Gavin, Chief Marketing Officer at Slack, reveals how self-awareness in leadership and the convergence of marketing and product strategy are creating unprecedented opportunities in the agentic era. Learn why employee productivity through AI orchestration is poised to become the fastest accelerator for top line business growth companies have ever seen, and how Slack is positioning itself as the conversational work platform for this transformation.

The conversation explores the critical shift from employees as doers to orchestrators, where every team member—from day-one interns to seasoned executives—will manage digital coworkers and AI agents. Discover the product principles driving Slack's approach to agent integration, the social dynamics of working alongside AI teammates, and why the traditional career ladder is being replaced by immediate access to capabilities across development, creative, analytics, and more. The discussion also covers practical frameworks for building exceptional teams, reducing AI adoption anxiety, and why picking the "right" career path matters less than crushing the job you're in.

Ryan delivers actionable insights on leadership development through self-awareness, understanding how team members receive feedback and recognition differently, and connecting business opportunities with talent growth. You'll also hear his compelling argument for why marketing must sit between product and sales as a strategic amplifier, not just a message distributor, and what marketers need to do to earn their seat at product strategy and sales planning meetings.

Key Topics Covered:

Episode Timestamps:

00:00 - Introduction and setting the stage

02:16 - Knowing thyself: Ryan's journey to leadership self-awareness through family and life experience

05:19 - What makes an amazing marketer in 2026 and bridging the marketing-product divide

08:43 - From doers to orchestrators: how AI agents give every employee a team from day one

11:24 - Designing agents to work like teammates: Slack's approach to intuitive AI integration

14:55 - Addressing AI fear: why productivity gains lead to higher expectations rather than job loss

18:03 - Advice for the next generation entering an AI-transformed workforce

21:49 - Career lesson from delivering papers in 110-degree Chicago heat

24:30 - Final question: why Ryan does what he does and the importance of lasting market impact

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Nick Johnston is the Senior Vice President of Strategic Partnerships & Business Development at Salesforce, where he leads strategic relationships with major technology companies including OpenAI, Anthropic, AWS, Google, IBM, and Workday. In this conversation recorded during Dreamforce 2025, Nick shares how Salesforce closed 12,500 Agentforce deals and navigated the complexities of announcing major partnerships like the expanded OpenAI integration that brings Salesforce's Agentforce 360 directly into ChatGPT. He reveals his unique approach to building win-win partnerships grounded in customer demand rather than competitive positioning.

Key Topics Covered:

Episode Timestamps:

03:07 - From college football to coaching varsity wide receivers at Torrey Pines High School in 2006

05:47 - The vibes and trust mentality: lessons from undersized teams that outperform expectations

07:26 - Three core hiring values: low ego, high curiosity, and grit in partnership teams

09:15 - Six months in Buenos Aires learning Spanish through full immersion with Spencer Stuart

12:49 - Customer-driven partnership strategy: building frameworks from market demand to product integration

16:15 - The customer-centric approach at Dreamforce and delivering the Agentforce agenda with partners

18:04 - Using AI to write joint press releases, position partnerships, and create mutually beneficial proposals

21:27 - Career advice for new graduates: get as close to the customer as possible in sales or customer success roles

24:56 - Why human experience and the arts will be the ultimate differentiator as AI automates work

28:02 - Parenting lessons and the "be great" daily motto for building confidence and pushing through challenges

29:06 - Why do you do what you do: achieving hard things in team settings and making family proud

About Nick Johnston

Nick Johnston is the Senior Vice President of Strategic Partnerships & Business Development at Salesforce, where he has spent over 12 years advancing from Customer Success Director to leading strategic technology partnerships. He holds an MBA from UC Berkeley Haas School of Business and a BA with honors in International Relations from UC Davis, where he also played college football. Nick has been instrumental in establishing major partnerships with OpenAI, Anthropic, AWS, Google, IBM, Workday, and other leading technology companies to deliver integrated customer experiences through Salesforce's Agentforce 360 platform.

ransformation and agentic AI.

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Try AI Pals today: http://tavus.io/pals-launch?utm_source=newsletter&utm_medium=email&utm_campaign=theaireportIn this candid conversation with Quinn Favret, and Hassaan Raza, Co-Founders of Tavus, we dive deep into the future of human computing and how AI is learning to communicate like humans. Quinn walks us through their inspiring San Francisco office—a museum of vintage computing that fuels the company's innovation culture.Topics Covered:0:00 — Introduction & Office Tour2:15 — Building an Inspiring Workspace for Innovation5:45 — The Evolution of Human-Computer Interaction (CLI → GUI → Human Computing)8:30 — What is "Human Computing"? The OS for Human-AI Interaction12:00 — The Waltz of Communication: Understanding Turn-Taking, Tone & Body Language15:20 — Tavus Technology: Perception, Understanding, Reaction & Action20:45 — Introducing Tavus Pals: AI Companions That Reach Out to You25:30 — Real-World Impact: The AI Santa Story & Accessibility30:15 — Ethical AI: Human-First Design & Responsibility35:00 — The Future of Work: Invisible Interface & AI Coworkers (10-20 Year Vision)42:30 — Addressing Job Displacement & Automation47:00 — Building an International, Culturally Diverse Team52:15 — What Makes a Great Tavus Hire: Passion, Craft & Opinions57:45 — Employee Challenges That Changed Company Direction62:00 — The "Why Do You Do This?" Question & Personal Motivations67:30 — Closing Remarks & GratitudeKey Takeaways:Human computing is the next frontier: machines that understand you instead of you learning to understand machinesEffective communication involves far more than words—tone, timing, facial expressions, and body language all matterTavus Pals represent a new category of AI application: emotionally intelligent, proactive, and truly conversationalDiversity of perspective—cultural, generational, educational—is critical to building AI that works for everyoneThe future workplace will have AI coworkers that feel as natural to interact with as human colleaguesTimestamps & Chapters:Vintage Computing Culture & InnovationThe Evolution of Computing InterfacesHuman-Centered AI Design PhilosophyReal-Time AI Perception & UnderstandingTavus Consumer Products & APIEmotional Intelligence in AIEthical Considerations & ResponsibilityFuture of Work & The Invisible InterfaceBuilding an International TeamHiring for Passion Over BackgroundLegacy & ImpactWe explore conversations with founders, technologists, and innovators shaping the future. This episode features Quinn Hassan discussing how Tavus is reimagining human-computer interaction through emotionally intelligent AI.#AI #Tavus #HumanComputing #FutureOfWork #AICompanions #Innovation #TechPodcast #FounderInterview #Startups #EmotionalIntelligence

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How a Former Startup Founder (Nancy Xu) is Building the Future of AI Agents at Salesforce Agent ForceJoin us for an insightful conversation with a Salesforce Agent Force leader who previously founded Moon Hub and holds a PhD in Computer Science from Stanford. In this episode, Nancy Xu reveals her unconventional hiring strategies, including asking candidates "what tabs are open in your Chrome browser," and shares why relentless curiosity is the top signal she looks for when building AI teams. Discover how she transitioned from startup founder to enterprise AI leader while maintaining a culture of trust and autonomy.Nancy Xu breaks down the future of work with AI agents, explaining how we'll all transition from "producers" to "directors" as agent orchestration becomes central to every role. Learn about Salesforce's trust layer for Agent Force, the importance of humans in the loop for iterative agent improvement, and why the next 100 years of AI development represents humanity's greatest opportunity since mapping the world. This conversation offers tactical hiring advice, leadership insights on managing impatience as a strength and weakness, and a compelling vision for how AI agents will transform customer experience roles.Key Topics Covered:Unconventional interview questions that reveal candidate curiosity and passion beyond traditional resumesThe three intangibles to look for when hiring: relentless curiosity, mastery of craft, and passionWhy future roles will focus on "what and why" rather than "how" as AI agents handle executionAgent orchestration frameworks including MCP and ATA for agents working with other agentsThe critical role of humans in the loop for continuously iterating agent objective functionsHow trust operates as the number one value at both Salesforce and startup environmentsLeadership philosophy of hiring great people and giving them autonomy within clear directionManaging impatience as both a greatest strength and weakness in leadershipThe blending of research, product, and engineering roles in AI-native companiesWhy this moment in history is humanity's chance to positively impact the course of civilization through AIEpisode Timestamps:00:00 - Introduction and unconventional hiring philosophy01:42 - The Chrome browser tabs question and looking beyond traditional resumes03:21 - Hiring for curiosity in a world where jobs will transform in two years05:15 - From producers to directors: The future of work with AI agents07:18 - Comparing culture at Salesforce Agent Force vs Moon Hub startup09:28 - Operating from trust: Lessons from Stanford PhD program on autonomy11:02 - Greatest weakness: Managing impatience as a founder turned enterprise leader13:14 - Advice for 21-year-olds: Pursue passion and blend across departments15:54 - Why now is the perfect moment in human history to work on AI17:10 - Closing thoughts on making positive impact through AI developmentAbout the Guest:This episode features Nancy Xu, a product and engineering leader on the Salesforce AgentForce team who previously founded Moon Hub, an AI-powered talent platform. She holds a PhD in Computer Science from Stanford and brings systems thinking and mathematical rigor to building enterprise AI agents. Her work focuses on agent orchestration, trust layers, and enabling humans to work alongside AI at scale.About Salesforce/Agentforce:Salesforce Agent Force is an enterprise AI agent platform that enables businesses to deploy autonomous agents across customer service, sales, and operations. Built with trust as the number one value, Agent Force includes enterprise-grade governance, security, and a trust layer that handles compliance at scale. The platform focuses on agent orchestration, allowing multiple agents to work together while keeping humans in the loop for strategic direction

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Rohit Khanna on AI Agents in Customer Service: How Smarsh Achieved 56% Deflection with Agentforce 360 Platform.

Rohit Khanna, Chief Customer Officer at Smarsh, reveals how AI agents are revolutionizing customer service automation in financial services compliance. In this episode, learn how Smarsh implemented Salesforce Agentforce to achieve 56% deflection rates, 20% productivity gains, and transformed their customer support operations without hiring additional level-one support representatives.

Discover the complete strategy behind deploying AI agents in regulated industries, from building proprietary compliance models to implementing data governance layers that ensure accuracy and regulatory compliance. Rohit shares insider insights on personalizing AI agents (meet "Archie"), managing the transition from chatbots to intelligent agents, and preparing teams for the future of agentic workflows in customer service.

Key Topics Covered:

- AI Agent Implementation

- How Smarsh deployed Agentforce for customer service automation

- Real Results - 56% deflection rate, 20% efficiency gains, 25% faster resolutions

- Financial Services Compliance

- Building AI models for market manipulation, fraud detection, and surveillance

- Data Governance

- Critical frameworks for deploying AI agents in regulated industries

- Personalization Strategy

- Why naming the agent "Archie" dramatically increased adoption

- Future of Work

- From human-in-the-loop to agent-in-the-loop workflows- GenAI vs Purpose-Built Models

- When to use general purpose vs specialized compliance AI models

- Customer Experience

- Balancing automation with trust in financial services

Episode Timestamps:

00:00 - Introduction to Rohit Khanna and Smarsh

02:44 - What is Smarsh? Compliance technology explained

04:13 - Building AI from the inside out: Proprietary vs partnered models

07:33 - Agentforce implementation journey and challenges

12:26 - Results: 56% deflection rate and productivity gains

15:25 - The power of personalization: Why "Archie" matters

18:21 - Trust and data governance in regulated industries

22:11 - Data governance layers and policy management

25:49 - Human-in-the-loop vs agent-in-the-loop

29:10 - Upskilling teams for the AI-powered future

32:11 - Intelligent agents for financial crime detection

About Rohit Khanna:

Rohit Khanna is the Chief Customer Officer at Smarsh, overseeing global customer support, consulting, migrations, managed services, and Smarsh University. With nearly six years at Smarsh, Rohit has led the company's transformation into AI-powered compliance solutions, managing teams across the Philippines, India, Belfast, Costa Rica, UK, and US.

About Smarsh:Smarsh is the leading compliance technology provider for regulated industries, specializing in electronic communications archiving, surveillance, and AI-powered financial crime detection. For 20 years, Smarsh has been the trusted custodian of communications data for major financial institutions worldwide, using proprietary AI models and GenAI agents to detect misconduct, reduce false positives, and ensure regulatory compliance.

Resources Mentioned:- Salesforce Agentforce

- Salesforce Agentforce for Service

- Digital Reasoning (acquired by Smarsh)

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What's your experience with AI agents in customer service?

#AIAgents #CustomerService #Agentforce #Salesforce #ComplianceTechnology #FinancialServices #GenAI #CustomerExperience #AIAutomation #AgenticWorkflows #DataGovernance #FinancialCompliance #CustomerSupport #AIinBusiness #Smarsh

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Subscribe to the newsletter — https://newsletter.theaireport.ai/subscribeBook Enterprise Training — https://www.upscaile.com/Salesforce CMO Ariel Kelman reveals how customer-centric marketing, AI agents, and trust shape the future of enterprise technology. Learn leadership lessons from Amazon, MicroStrategy, and building marketing teams that embrace AI innovation at scale.In this exclusive interview recorded at Dreamforce, Ariel Kelman—President and Chief Marketing Officer at Salesforce—shares his journey from data warehouse consultant to leading marketing at one of the world's most influential enterprise software companies. Discover how the "have you talked to customers" philosophy from Amazon's Andy Jassy transformed his approach to B2B marketing, and why trust has become the cornerstone of successful AI agent deployment.Ariel breaks down the evolution of AgentForce, Salesforce's AI agent platform, and explains why enterprise AI requires more than impressive demos—it demands accuracy, security, and customer success at scale. You'll learn practical insights about hiring for intellectual curiosity over technical skills, building transparent resource allocation systems, and why failure is "the inseparable twin sister of innovation."⏱️ TIMESTAMPS:0:00 - Introduction1:03 - From Data Warehouse Consultant to CMO: Career Journey2:50 - Andy Jassy's Customer-First Philosophy at Amazon4:08 - The Foundation of Customer Success in Marketing5:46 - Trust, CRM, AI, and Data: The Four Pillars7:20 - Building Trust as a Marketing Leader8:56 - Introducing AI Agents to Enterprise Customers10:31 - What Trust Really Means in AI12:02 - President + CMO: The Dual Role Explained13:11 - Training Teams Through Inspiration, Not Just Education14:52 - Hiring for Intellectual Curiosity and Humility17:04 - Creating a Culture Where Failure Leads to Innovation18:45 - How Leaders Use AI Daily at Salesforce20:09 - The Joy of Product Marketing20:50 - Why Do You Do What You Do?💡 KEY TAKEAWAYS:Why customer obsession beats technology-first marketing every timeHow to build trust in AI agents for enterprise deploymentThe hiring questions that reveal intellectual curiosity and low egoWhy 95% accuracy isn't good enough for customer-facing AIHow Salesforce uses 17 customer success stories to market AgentForceThe difference between consumer AI and enterprise AI grounded in dataWhy transparency in resource allocation builds team trust🎤 ABOUT ARIEL KELMAN:Ariel Kelman is the President and Chief Marketing Officer at Salesforce, where he leads global marketing strategy for CRM, AI, and enterprise technology solutions. Previously, he held leadership roles at Amazon Web Services, Oracle, and MicroStrategy, bringing over 20 years of experience in B2B technology marketing and sales engineering.📢 RELATED VIDEOS:Mia Jordan, GTM AI Executive at Salesforce (https://youtu.be/pFOAlZNL_U0?si=2BMuatBIpC0biXZ0)Saket Srivastava, Asana CIO (https://www.youtube.com/watch?v=0TryfgNj3D4&t=1s)🏢 ABOUT THIS SERIES:This interview is part of our Dreamforce leadership series, featuring conversations with C-suite executives shaping the future of enterprise technology, AI innovation, and customer experience.#Salesforce #CMO #AIAgents #AgentForce #MarketingLeadership #EnterpriseAI #B2BMarketing #CustomerSuccess #TrustInAI #Dreamforce #TechLeadership #ProductMarketing #CRM #AIInnovation #MarketingStrategy

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⚡️ Enterprise Training — upscaile.com🤝 Join the Newsletter — newsletter.theaireport.ai/subscribeIn this episode, we delve into AI in government transformation, digital innovation in the public sector, and the future of work in an AI-driven world. Our guest, Mia Jordan — a former Chief Information Officer (CIO) turned AI GTM Executive at Salesforce — reveals how artificial intelligence, automation, and data-driven decision-making are powering the next wave of digital transformation in government. She shares insights on how public-sector innovation, customer experience (CX), and platform thinking are redefining how agencies operate. You’ll learn how AI strategy, leadership, organizational culture, and AI skills training enable smarter, more connected systems — shaping the next generation of digital government, enterprise AI adoption, and citizen-centric service delivery.We dive into:1. How government can use AI to deliver citizen-first services and customer-like experiences2. Why CIOs are central to blending IT, business, and AI strategy across large organizations3. The “platform mindset” — building once and scaling across multiple departments4. How AI can shorten onboarding time and make training radically more efficient5. Practical steps for employees and leaders to upskill with free AI training (Trailhead)6. Building a learning culture where AI adoption starts from the top down7. Career advice for recent grads entering the AI-driven workforceChapters00:00:00 Intro – The art of authentic conversation00:01:00 How to design government systems that treat citizens like customers00:03:00 CIO insights: blending business, IT, and AI00:05:00 The future of work and how AI is changing employee roles00:06:30 How to learn AI fast – Trailhead and free upskilling00:07:40 The value of grunt work in the age of automation00:09:30 AI onboarding: training employees faster and smarter00:10:40 Culture and leadership in successful AI adoption00:12:10 AI learning cohorts: building confidence and curiosity00:14:30 Measuring AI success: education, engagement, and feedback loops00:15:30 Lessons from government and innovation inside Salesforce00:17:40 What new grads should learn from sales and relationship building00:19:10 Why she does what she does – being a catalyst for change📬 Get in TouchLinkedIn: https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/Mia Jordan — https://www.linkedin.com/in/mia-jordan-07192852/

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Connect with Saket Srivastava: https://www.linkedin.com/in/saket-srivastava-84069711/

👉 Asana CIO Saket Srivastava joins Liam Lawson to unpack why the future is about **collaboration over autonomy** in AI. He shares how Asana’s Work Graph underpins AI features like Smart Chat, AI Studio, and the new **AI Teammates** (with human-in-the-loop checkpoints and enterprise controls), and explains the evolving role of the CIO from back-office technologist to strategy co-creator. Saket gets specific on IT–HR partnership for AI transformation, surveying employee readiness, building an internal AI council, balancing experimentation with measurable impact, and coaching teams through change. They also tackle job displacement realistically, discuss building an AI-first culture, and end with Saket’s personal motivations, strengths, and where he’d improve.

📚 Chapters

00:00 Welcome & setup

01:31 What Asana is & the CIO role

04:39 How the CIO role changed from 2024 → 2025

06:11 What makes a great CIO (three-level framework)

09:15 What are Asana AI Teammates?

12:42 Why autonomy isn’t the goal; context, checkpoints, control

14:48 Asana’s AI suite (Smart Chat, AI Studio, Teammates)

15:04 The Work Graph model & “pyramid of clarity”

18:31 Human-in-the-loop in practice (IT ticketing, campaign strategist)

20:50 Natural-language collaboration & explainability

22:01 Where AI Teammates underperform & the data hurdle

25:30 Change management & the IT–HR partnership

29:08 Baseline survey: excited-but-stuck employees

32:14 Bottom-up innovation + top-down direction

33:39 AI council, show-and-tells, and grassroots adoption

36:12 Balancing innovation with impact (don’t kill experiments with ROI)

37:24 Addressing fear vs. optimism; why leaning in matters

40:08 Generational readiness & learning paths

43:03 The future of work: augmentation over dystopia

44:31 Saket beyond tech; problem-solving DNA

46:45 Strengths & what he’d improve as a leader

48:59 Why Saket does what he does

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Connect with Josh Furstoss: https://www.linkedin.com/in/josh-furstoss/

Follow Josh on X: https://x.com/josh_furstoss

👉 In this episode, Liam Lawson sits down with Josh Furstoss — founder of Spinout Studios and former CEO of Incued — to unpack his journey from cleaning blood off walls in a grocery store meat department to building and exiting a data intelligence startup. Josh shares his wild early job stories, how curiosity and enthusiasm launched his tech career, and the lessons learned working with government agencies on large-scale security projects. They dive deep into the creation and mission behind Incued, the moral drive for financial transparency, and Josh’s new focus with Spinout Studios — helping corporations turn dormant IP and data into profitable spinouts. The conversation also explores wealth, purpose, robotics, the future of work, and what truly brings peace and meaning after an exit.

📚 Chapters 00:00

Early Jobs and Wild Grocery Store Stories

04:40 Learning Sales at Best Buy and Samsung

08:10 Breaking Into Tech Through Cold Outreach

12:00 Corporate Life, Security Projects, and the FBI

17:10 Learning Value and Realizing Undervaluation

21:00 First Startup Failures and Founding Incued

25:20 Building Truth and Transparency Into Fintech

27:40 Anger, Pain, and Finding Purpose Post-Exit

33:30 Wealth, Status, and the Myth of Success

38:05 Building Spinout Studios — Founders vs Consultants

43:00 The Art of Spinouts and Niche Innovation

47:30 Midwest Private Equity Culture vs SF Startups

51:45 The Future of Robotics and Specialized Automation

53:40 Loneliness, AI Companionship, and Human Connection

56:27 The Future of Work and Economic Displacement

01:02:20 Why Josh Does What He Does

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