In this episode of the Shift AI Podcast, Abhijit Mitra, CEO of Outreach, joins host Boaz Ashkenazy for a wide-ranging conversation on how agentic AI is fundamentally reshaping the way revenue teams operate.

Abhijit shares his journey from tutoring a seventh-grade student advanced math in India to spending 30 years building enterprise systems at Oracle, SAP, and ServiceNow before joining Outreach as head of product and engineering—and eventually stepping into the CEO role. From there, the discussion dives deep into how Outreach has evolved from a sales execution platform into a full agentic AI infrastructure for go-to-market workflows.

The conversation explores the critical distinction between true autonomous agents and what Abhijit calls "fancy dashboards"—how Outreach's agents autonomously research accounts, personalize outreach, prep sellers for meetings, provide real-time coaching, and even submit forecasts without human intervention. Abhijit explains why the shift from SaaS seat licenses to hiring agents with skills and capacity represents the next evolution of enterprise software, and why companies that don't adapt will not survive.

Boaz and Abhijit also dig into the governance challenge at the heart of enterprise AI adoption—shadow AI, role-based access control, and how to give individual sellers the autonomy to personalize their own agents while keeping everything inside trusted organizational guardrails. The episode closes with Abhijit's vision for self-adapting AI that learns best practices from every rep and distributes them across the entire team, making every rep your best rep.

This episode is essential listening for sales leaders, revenue operators, and enterprise technology buyers who want to understand how agentic AI is moving beyond individual productivity tools to unlock fundamentally new go-to-market operating models.

Chapters

[00:00] Introduction: Abhijit's Career from Oracle and SAP to Outreach

[01:26] First Job: Teaching 12th Grade Math to a 7th Grader in India

[01:58] Outreach's Evolution from Sales Execution to Revenue Orchestration

[03:42] 2025 Was the Launch—2026 Is When Agents Actually Happen

[04:12] What Makes a True Autonomous Agent (Not a Chatbot or Dashboard)

[07:46] The New Paradigm: Hiring Agents vs. Renting Software Seats

[09:43] Personal Agents and the Case for Individual Autonomy

[12:06] Enterprise Governance: Why Every Rep Needs Guardrails

[12:34] Shadow AI, Sovereign AI, and What CISOs Are Actually Worried About

[13:34] Role-Based Access Control for Agents: Match the Person, Not the Platform

[14:20] Day in the Life: What Agents Do So Sellers Don't Have To

[17:06] Outreach's Own 100-Person Sales Team as a Live Testing Ground

[17:34] The Numbers: 39% Productivity Increase Measured Internally

[19:17] Is SaaS Dead? The Real Transformation Happening in Enterprise Software

[21:50] What's Next: Self-Adapting Agents That Learn and Spread Best Practices

[24:30] Two Words on the Future of Work: Unleash Your Best Performance

[25:38] Closing Thoughts on Augmentation, Fear, and Human Potential

Connect with Abhijit Mitra

LinkedIn: https://www.linkedin.com/in/mitrasaab/

Connect with Boaz Ashkenazy

LinkedIn: https://www.linkedin.com/in/boazashkenazy/

Email: [email protected]

In this episode of the Shift AI Podcast, Derek Slager, CTO and co-founder of Amperity, joins host Boaz Ashkenazy for a conversation that spans 10 years of company building, the evolution of AI-assisted software development, and what it really means to lead a technical organization through genuine disruption.

Derek shares the founding story of Amperity, how he and co-founder Kabir Shahani stumbled into the customer data problem while building marketing automation at their previous company, Aperture, and how that experience became the thesis for building an entire platform around getting data right.

The conversation moves into the heart of how AI has transformed Derek's work as a CTO and as an engineer. He describes the moment the shift felt real, the team dynamics of moving from individual AI exploration to a true team sport, and how Amperity is compounding the institutional knowledge locked in a decade of after-action reviews into something agents can now actually learn from. Derek addresses the "SaaS is dead" narrative head-on arguing that Amperity's data foundation is precisely the asset that makes agents genuinely useful for their customers.

Boaz and Derek close with a forward-looking exchange on agentic workflows in marketing, the importance of redesigning process and what a learning mindset means for individuals and organizations navigating what comes next.

This episode is essential listening for CTOs, data leaders, and operators who want to understand how the companies with the best data foundations are positioned to thrive in the agentic era.

Chapters

[00:00] Introduction: Derek's Path to Building Amperity

[02:13] What Amperity Is and Why It Took 10 Years to Build

[04:41] First Job: Early IT Work at Dad's Small Business in Monroe, WA

[06:14] The Founders Club: How Amperity Went to Market in 2016

[08:20] Why They're Running a New Founders Club 10 Years Later

[10:13] Both Sides of Claude Code: What Changed and When

[13:30] Living Through Disruption as a CTO and Engineer

[15:36] Making AI a Team Sport Instead of an Individual Pursuit

[17:04] The Moment It Really Clicked: A Simple Tool That Took 5 Minutes to Build

[19:09] Cultural Adoption: Skeptics to Believers Inside Amperity

[21:50] Compounding Engineering: After-Action Reviews as AI Training Data

[23:45] The Agent Wave Is Real: What It Means for a Customer Data Platform

[25:09] Amperity's Data Foundation as the Perfect Agent Substrate

[27:00] Redesigning Process, Not Just Adopting Tools

[28:57] Systems Thinking and the Future of Work

[30:04] Two Words: Learning Mindset

[33:01] How to Connect with Derek and Amperity

Connect with Derek Slager

LinkedIn: https://www.linkedin.com/in/derekslager/

Website: amperity.com

Connect with Boaz Ashkenazy

LinkedIn: https://www.linkedin.com/in/boazashkenazy/

Email: [email protected]

In this episode of the Shift AI Podcast, Ajay Patel, Head of World ID at Tools for Humanity, joins host Boaz Ashkenazy for a timely and wide-ranging conversation on the identity crisis facing the internet in the age of AI agents.

Ajay shares his career journey from hardware engineering to product and sales, through years at Google leading payments identity infrastructure managing how legal identity, verification, and payment data move across the entire company globally and ultimately to Tools for Humanity, where he saw the chance to tackle the root-level problem that his work at Google kept circling: if you don't know who you're dealing with, everything downstream breaks.

The conversation digs into why the entire internet was built with the assumption that users are human and why that assumption is now collapsing as AI agents multiply. Ajay walks through the founding principles of World ID: privacy-preserving proof of humanity, uniqueness without revealing identity, and an open-source, decentralized architecture designed to have no single point of failure. He covers the challenge of making this system easy enough for non-technical users while still being cryptographically robust, and why inclusivity ensuring the billion people without legal identity can still participate is a core design constraint, not an afterthought.

Boaz and Ajay explore the partnership with Coinbase and Cloudflare, how agent delegation will work in practice, what agentic commerce means for coupon fraud and chargebacks, and what a world with a hundred agents acting on your behalf could actually look like. The episode closes with a forward-looking discussion on new builders, mobile-first parallels, and why the certainty World ID brings to online interaction will unlock things we can't yet imagine.

This episode is essential listening for anyone thinking about identity, trust, agentic systems, and what the infrastructure of the next internet needs to look like.

Chapters

[00:00] Introduction: Ajay's Journey from Hardware Engineer to World ID

[02:02] The Identity Problem at the Heart of Google Payments

[05:15] What Led Ajay to Tools for Humanity

[07:33] The World ID Origin Story and Sam Altman's Vision

[08:17] Why Every Internet System Assumes You're Human and Why That's Breaking

[10:46] What World ID Is and How the Real Human Network Works

[12:18] Open Source, Decentralized, and the Principles Behind the Architecture

[13:37] Privacy, Security, Performance, and Inclusivity as Design Constraints

[14:08] The Billion People Without Legal Identity

[15:03] The Aadhaar and UPI Example: What Identity Unlocks at Scale

[16:11] World ID 4.0 and the New Architecture for Key Management

[17:56] Coupon Fraud, Free Trial Abuse, and Why This Is the Baseline Problem

[19:50] How Agents Should Interface Differently Than Humans

[21:00] The Coinbase and Cloudflare Partnership: Micro-Payments and Bot Rate-Limiting

[21:48] Agent Delegation: Which Human Is Behind These Hundred Bots?

[24:37] Government Use Cases, Polling, and Community Verification

[25:13] Tinder, Gaming, Dating, and the Places Certainty Changes Everything

[27:18] Painting the Picture: What Life Looks Like with 100 Agents Working for You

[29:17] Mobile-First Parallels and What AI Natives Will Look Like

[31:14] The Downside Is Real But the Upside Is Bigger

[33:36] The Future in Two Words: Builders and Abundance

[35:20] How to Learn More and Connect with Ajay

Connect with Ajay Patel

LinkedIn: https://www.linkedin.com/in/ajayppatel/

Wesite: https://www.world.org

Connect with Boaz Ashkenazy

LinkedIn: https://www.linkedin.com/in/boazashkenazy/

Email: [email protected]

In this episode of the Shift AI Podcast, Scott Porad, CTO at TaskRabbit, joins host Boaz Ashkenazy for a wide-ranging conversation on how AI is reshaping software engineering and the future of technology leadership.

Scott shares his career journey across some of the internet's earliest gig marketplaces from Rover to Dolly to TaskRabbit and how TaskRabbit's relationship with parent company IKEA came about from a simple observation: people were using the platform to assemble furniture. From there, the conversation dives deep into how AI coding tools have swept through engineering organizations, tracing the evolution from early skepticism to prompt engineering to plan mode to today's spec-driven development.

The conversation explores how TaskRabbit is using AI agents for code review, the challenge of adapting AI to legacy codebases, and what happens when designers and product managers can write code themselves. Scott addresses the blurring of roles and decision rights across engineering teams, the shadow IT challenge of citizen developers building internal tools with lovable.dev and similar platforms, and why security — unlike everything else — is a one-way door that can't be undone with people and money.

This episode is essential listening for engineering leaders, product managers, and anyone trying to understand how the practice of building software is being fundamentally rewritten in real time.

Chapters

Connect with Scott Porad

LinkedIn: https://www.linkedin.com/in/scottporad/

Podcast: howmanyctos.com

Connect with Boaz Ashkenazy

LinkedIn: https://www.linkedin.com/in/boazashkenazy/

Email: [email protected]

In this episode of the Shift AI Podcast, Gordon Evans, CMO of Commerce Cloud at Salesforce, joins host Boaz Ashkenazy live from Dreamforce in San Francisco for a conversation on how AI agents are reshaping commerce across both B2C and B2B.

Gordon breaks down the full scope of Salesforce’s commerce portfolio—from the well-known B2C platform powering brands like Pandora and L’Oréal, to B2B commerce, order management, and the recently acquired PredictSpring point-of-sale capability. Together, these pieces deliver what Salesforce calls unified commerce: the same product, inventory, and customer view whether you’re engaging online or in-store.

The conversation dives into how AgentForce Commerce is bringing AI-powered personalization to retail. Gordon shares how Pandora’s Gemma agent has driven a 10% increase in NPS by handling customer service with the nuance of a knowledgeable store associate, and how Williams Sonoma’s Olive agent helps shoppers plan everything from Thanksgiving dinner to table decor. The discussion explores why great data is the foundation for effective agents, how B2B buyers deserve the same seamless experience as consumers, and why natural language interfaces are collapsing the technical barrier between businesses and their customers.

Boaz and Gordon also examine the evolving trust dynamic around AI in commerce—how the pandemic accelerated consumer willingness to trade data for speed and convenience, and how that same value exchange is now driving adoption of AI agents. Gordon shares how his own team uses internal LLMs and Slack bots to move faster, and why learning to ask the right questions is becoming the most important professional skill.

This episode is essential listening for commerce leaders, retail strategists, and product teams who want to understand how AI agents are moving beyond customer service into full shopping experiences—and why conversation and context are the two words that define what comes next.

Chapters

[00:00] What It Means to Be CMO of Commerce at Salesforce

[02:15] AgentForce Commerce and the Unified Commerce Vision

[03:37] PredictSpring, Point of Sale, and Bringing It All Together

[04:20] Personalization Powered by Data and AI Agents

[05:58] Why B2B Buyers Deserve the Same Experience as Consumers

[07:30] First Job, Worst Job with Gordon Evans

[09:30] How AI Tools Are Changing the Daily Work of Marketing

[11:20] Pandora, Williams Sonoma, and the Rise of Brand Agents

[13:50] Trust, Credit Cards, and the Speed-Convenience Value Exchange

[15:00] Two Words for the Future of Work: Conversational and Context

Connect

Connect with Gordon Evans

LinkedIn: https://www.linkedin.com/in/gordonmevans/

Connect with Boaz Ashkenazy

LinkedIn: https://www.linkedin.com/in/boazashkenazy/

Email: [email protected]

In this episode of the Shift AI Podcast, Nadia Hansen, Global AI Go-To-Market Leader and Industry Advisor for Public Sector at Salesforce, joins host Boaz Ashkenazy for a live conversation recorded at Dreamforce in San Francisco on how AI agents are fundamentally reshaping government services.

Nadia shares her unconventional career journey—from serving as the Chief Information Officer for Clark County in Las Vegas overseeing 2.3 million residents and 10,000 employees, to leading public sector go-to-market strategy at Salesforce. From there, the discussion dives deep into how today’s government agencies are navigating digital transformation with resilience, experimentation, and a growing openness to AI-driven innovation.

The conversation explores how AgentForce and agentic AI are enabling government agencies to deliver seamless digital front doors for residents—automating intake processes, streamlining permit requests, breaking down departmental silos, and providing multilingual access to public services. Nadia explains why voice technology is poised to become the next major interface for government, how co-creating AI use cases with employees drives real adoption, and why the biggest barrier to transformation is mindset, not technology.

Boaz and Nadia also examine the growing challenge of shadow AI in government, why bottom-up adoption workshops outperform top-down mandates, and how cities like Kyle, Texas are experimenting with AI in safe, compliant environments. The episode closes with Nadia’s powerful two-word vision for the future of work: revolutionary mindset.

This episode is essential listening for public sector leaders, civic technologists, and anyone who wants to understand how AI is moving beyond individual productivity gains to transform the way government serves its communities.

Chapters

[00:00] From Home Depot to the C-Suite: Nadia’s Career Journey

[04:07] Landing at Salesforce and Repositioning CRM for Government

[07:50] First and Worst Jobs: Lessons from Selling Manure

[10:22] The Digital Front Door: Seamless Government Services

[12:37] Selling to Government: Speak in Outcomes, Not Products

[15:03] AgentForce and the Rise of Voice-First Government

[17:24] Augmentation Over Replacement: Addressing the Fear of AI

[19:47] Bottom-Up Adoption: Co-Creating AI Use Cases with Employees

[21:13] Public Safety, Multilingual Access, and the World Cup

[23:30] The Future of Work: Revolutionary Mindset

Connect with Nadia Hansen

LinkedIn: https://www.linkedin.com/in/nadiakhansen/

Newsletter: Hack to the Future (on LinkedIn)

Connect with Boaz Ashkenazy

LinkedIn: https://www.linkedin.com/in/boazashkenazy/

Email: [email protected]

In this episode of the Shift AI Podcast, Scott Roberts, CISO at UiPath, joins host Boaz Ashkenazy for a deep dive into how agentic AI is reshaping enterprise security and automation—both for customers and inside UiPath itself.Scott shares his 25-year security journey spanning Microsoft’s early Security Response Center days (including the era that produced Patch Tuesday and the Security Development Lifecycle), product security work across Windows and Xbox, time at AWS, and leadership roles at Google where he helped build the Android Security Assurance and Pixel Security teams and the Android Monthly Security Update process. He also discusses his work in security standards across IPsec, HTML5 encrypted media, GSMA device security, and most recently, contributions to emerging agentic AI security standards.The conversation then explores UiPath’s evolution from traditional RPA into a unified platform that combines deterministic automation with agentic workflows. Scott walks through a real-world healthcare billing example where agentic automation increased deduplication accuracy dramatically by handling complex, variable inputs that classic RPA struggled with—while still keeping humans in the loop and feeding outcomes back into the system to improve over time.Boaz and Scott go deep on what’s changed for CISOs in the post-LLM world: the need for guardrails, identity and entitlements for AI agents, and the challenge of end users copying sensitive information into consumer AI tools. Scott explains UiPath’s approach: enable adoption while using nudges and policy controls to redirect sensitive workflows into enterprise-safe environments rather than relying solely on blocks.The episode closes with an eye-opening look at UiPath’s internal “agentic threat analyst” system—an orchestration of 60+ agents that can investigate SIEM alerts end-to-end, generate structured incident writeups, and compress hours of analyst work into roughly a minute and a half. Scott’s future-looking takeaway: as AI models evolve beyond “read-only” into potentially “read-write” systems that can update their foundational knowledge, the acceleration could be truly mind-blowing.This episode is essential listening for security leaders, enterprise operators, and automation teams trying to understand how agentic systems change not just productivity, but the entire security operating model.Chapters[00:01] Scott’s Security Journey: Microsoft, Google, Coinbase, UiPath[01:33] Security Standards Work: From IPsec to Agentic AI Standards[04:08] What UiPath Does: Process Orchestration, RPA, and Enterprise Automation[06:28] RPA vs Agentic Automation: A Healthcare Billing Deduplication Example[09:17] The Agentic Stack: Canvas, Guardrails, and the AI Trust Layer[10:31] How LLMs Change Security: Data Controls, Access, and Governance[12:14] Internal Adoption at UiPath: AI Tooling by Persona (Legal, Finance, Engineering)[13:13] Code Velocity and Security: Agents Generating Code, Agents Verifying It[15:53] Two AI Security Worlds: Orchestration Platforms vs End-User Chat Interfaces[17:11] Securing End Users: Enterprise LLMs, Nudges, and Browser-Based Controls[19:07] Sovereign AI and Data Boundaries: Keeping Data in the Right Region[21:00] Over-Permissioning Meets Agents: Why AI Makes Old Problems Obvious Fast[22:21] The Next Wave: AI Transforming the Entire SDLC End-to-End[24:53] Security Pitfalls in Agentic SDLC: Misaligned Incentives and Permissions[26:02] UiPath’s Agentic Threat Analyst: 60+ Agents, SIEM to Writeup Automation[30:07] What Changes for Humans: Faster “Time to Truth” and Higher-Leverage Work[32:09] Two-Word Future: “Mind Blowing” and Read/Write ModelsConnect with Scott RobertsLinkedIn: https://www.linkedin.com/in/scottroberts6/Connect with Boaz AshkenazyLinkedIn: https://www.linkedin.com/in/boazashkenazy/Email: [email protected]

In this episode of the Shift AI Podcast, Casey Mulligan—former Chief Economist of the White House Council of Economic Advisers and current Chief Counsel for Advocacy at the U.S. Small Business Administration—joins Boaz Ashkenazy for a timely conversation on how AI is reshaping small businesses, regulation, and the broader labor market.

Casey shares his path from University of Chicago professor to serving in two presidential administrations, where he introduced automated reasoning tools into economic policy work well before the rise of large language models. He explains how his office now uses AI to review thousands of federal regulations and ensure small business voices are represented in Washington.

The discussion explores accelerating AI adoption among small firms, the recent surge in new business formation, and why smaller companies may benefit more from AI than large incumbents. Casey also addresses concerns about job displacement, drawing lessons from past waves of automation and outlining why he believes the long-term impact will be increased productivity and opportunity.

The episode closes with a forward-looking perspective on education, entrepreneurship, and why the “human touch” will remain a critical advantage in the future of work.

Chapters

[00:00] From University of Chicago to the White House[03:05] Advocating for Small Businesses in Washington[07:29] AI and the Labor Market: Lessons from Economic History[12:14] The Startup Surge and Small Business Formation[13:48] Using AI Inside the Federal Government[17:20] Vibe Coding, APIs, and Custom Productivity Tools[18:07] Automated Reasoning and Microsoft’s Z3[21:23] AI in Education and Learning[24:31] Two Words for the Future of Work: Human Touch

Connect with Casey Bryant Mulligan
LinkedIn: https://www.linkedin.com/in/casey-bryant-mulligan/

Connect with Boaz Ashkenazy
LinkedIn: https://www.linkedin.com/in/boazashkenazy/
Email: [email protected]

In this episode of the Shift AI Podcast, Patrick Supanc, Chief Product Officer at Coursera, joins host Boaz Ashkenazy for an in-depth conversation on how AI is transforming education, workforce skills, and lifelong learning at a global scale.

Patrick shares his deeply personal and unconventional journey—from growing up as the son of two educators and immigrating to the U.S., to working in public policy at the World Bank, having a formative experience in a rural classroom in Brazil, and ultimately transitioning into education technology.

The conversation dives into how baseline AI literacy is rapidly becoming essential for everyone, not just technologists. Patrick explains how learner demand on Coursera has surged, with AI enrollments accelerating and shifting from introductory content toward more advanced topics like agentic AI, orchestration, and role-specific application of AI tools.

Boaz and Patrick explore how large language models are being integrated directly into learning experiences through Coursera Coach—an AI-powered tutor designed to deliver personalized, efficient, and high-integrity learning. Patrick outlines why memory, contextual relevance, fast feedback loops, and verified assessments are critical for adult learners who need to upskill quickly while balancing real-world constraints.

Finally, the episode looks ahead to the future of education and work, touching on global access, AI-powered translation and dubbing, voice-based interaction, role-play simulations, and the potential role of avatars. Patrick closes by framing the future as “skills-first and accessible,” underscoring Coursera’s mission to ensure that verified, job-relevant skills are available to learners everywhere.

This episode is essential listening for founders, operators, educators, and professionals who want to understand how AI is reshaping not just productivity, but the entire learning and workforce ecosystem.

Chapters

[00:00] From Educators to EdTech: Patrick’s Journey to Coursera

[04:24] AI Literacy as the New Baseline Skill

[07:18] The Rapid Rise of AI Learning Demand on Coursera

[08:17] From Intro to Agentic AI: How Learner Needs Are Evolving

[11:22] Tracking Skills at Scale with Coursera’s Career Graph

[14:31] Coursera Coach: AI Tutors, Personalization, and Memory

[17:32] Learning by Doing: Role Play, Labs, and Real-World Practice

[19:41] Anxiety, Relevance, and the Need for Continuous Upskilling

[21:31] Helping Learners Navigate an Uncertain Career Future

[24:31] Global Access: Translation, Dubbing, and Emerging Markets

[26:21] Voice, Avatars, and New Interaction Models in Learning

[28:49] Andrew Ng’s Influence on Coursera and AI in Education

[30:26] The Future of Work and Learning: Skills-First and Accessible

Connect with Patrick Supanc

LinkedIn: https://www.linkedin.com/in/patricksupanc/

Connect with Boaz Ashkenazy

LinkedIn: https://www.linkedin.com/in/boazashkenazy/

Email: [email protected]

In this episode of the Shift AI Podcast, Alex Waddell, Chief Information Officer at Adobe Population Health, joins host Boaz Ashkenazy live from Dreamforce in San Francisco for a deep dive into AI adoption in one of the most highly regulated—and most impactful—industries: healthcare.

Alex shares his unconventional journey from Salesforce administrator to CIO, and how Adobe Population Health built a custom electronic medical record (EMR) on the Salesforce platform to support population health case management long before it became an industry buzzword. The conversation explores why traditional EMRs often get in the way of care—and how AI can help remove friction so clinicians can focus on patients, not paperwork.

Together, Boaz and Alex unpack how AI is being applied today to reduce clinician burnout, automate documentation, improve quality assurance, and deliver the right data at the right time. Alex also explains why “augmented intelligence,” not full automation, is the future of healthcare—and why humans will always remain at the center of care delivery.

The episode closes with a thoughtful discussion on AI adoption, clinician trust, and why involving end users directly in building AI workflows is essential for success.

This episode is a must-listen for healthcare leaders, technologists, and operators who want to understand how AI can drive real-world outcomes—not just efficiency metrics.

Key Themes & Takeaways

• Why population health required building a custom EMR from scratch

• The hidden cost of documentation and clinician burnout

• How AI can get “the system out of the way” of patient care

• Using AI for chart summarization, note generation, and QA audits

• Overcoming fear and resistance to AI in regulated environments

• Why adoption—not technology—is the real challenge

• The future of healthcare as augmented intelligence

Chapters

• [00:00] Welcome & Live from Dreamforce

• [01:30] Alex Waddell’s Journey: From Admin to CIO

• [03:39] Building a Custom EMR for Population Health

• [05:45] Data, Interoperability, and MuleSoft

• [06:45] Reducing Clinician Burnout with AI

• [08:24] Voice, Automation, and the Future of Admin Work

• [09:30] Using AI for Quality Assurance at Scale

• [10:49] AI’s Real Impact on Patient Outcomes

• [12:20] “Augmented Intelligence” and the Future of Work

• [14:00] Adoption, Trust, and Bringing Clinicians Along

• [16:00] Learning More & Closing Thoughts

Episode Quote

“An EMR doesn’t change lives. The human interaction does. AI’s job is to get out of the way so clinicians can actually care.”

Connect with the Guests

Alex WaddellChief Information Officer, Adobe Population HealthWebsite: https://www.adobepophealth.comLinkedIn: https://www.linkedin.com/in/alexander-waddell-066bb914a/

Boaz AshkenazyHost, Shift AI PodcastLinkedIn: https://www.linkedin.com/in/boazashkenazy/Email: [email protected]