Practical AI talk with a human center.
Alter Everything follows the real-world consequences of AI, analytics, and data work. Its guest-led conversations move from tools and models toward accountability, team habits, clinical risk, community learning, and the human decisions underneath technical change.
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Alter Everything sits at the practical edge of AI and analytics. It is less interested in novelty for its own sake than in what happens after a tool enters a workflow, a team, a clinic, or a community. The format is mostly conversational. Guests get room to explain, while the framing keeps returning to use cases, accountability, and how people actually adopt new systems. Recent episodes spend a lot of time with AI, but the show does not treat it as magic. It asks who makes the call, who is affected, and what human systems need to be in place before automation starts shaping decisions. Healthcare brings that tension into sharp focus. A conversation with Dr. Amy Bott looks at patient safety, clinical judgment, and the uneasy space between imperfect human care and imperfect AI support. The show also looks ahead to agents, voice interfaces, modernization, governance, trust, and the difference between an answer machine and AI that can take steps on someone's behalf. Those topics could become abstract quickly. Here, they are grounded in examples such as SQL queries, software tools, reservations, repeatable tasks, and auditable delegation. Sports analytics widens the frame. Ari Kaplan's episode connects data practice with baseball, Formula One, human rights work, and the idea that analytics can change more than dashboards. The Alteryx community episodes give the show a more personal texture. They treat forums, badges, blog posts, events, competition, mentorship, and career pivots as part of the same data culture story. There are also applied episodes on generative AI inside Alteryx Designer, Copilot, workflow design patterns, ESG reporting, sustainability, and finance-facing transformation. The overall mood is warm and collegial. It can get excited about new tools, but it keeps asking where they break, who trusts them, and what expertise still has to stay human. That balance is the show's main appeal. Alter Everything is for listeners who want technology conversations with enough detail to be useful and enough humility to stay connected to real work.
Made for: Alter Everything suits data practitioners, analytics leaders, AI-curious operators, and community-minded technologists who want workplace examples rather than abstract futurism. It also fits healthcare, sports, finance, and sustainability listeners tracking how analytics changes decisions.
What sets it apart: The show stands out by tying technical change to human systems: trust, accountability, career growth, clinical judgment, community support, and organizational readiness. Its interviews are roomy and practical, with guests explaining how ideas behave inside real workflows.
Welcome to Alter Everything — a podcast about AI, analytics, and the future of work. To view episode transcripts, leave comments, and connect with guests, visit alteryx.com/podcast
Based on 5 episodes we listened to · September 2026
Alter Everything turns AI and analytics strategy into concrete questions about delegation, accountability, workplace behavior, and real-world risk.
Alter Everything keeps asking what happens after an AI demonstration becomes part of actual work. Joshua Burkow uses interviews to move from broad claims toward operational questions: what an agent should be allowed to do, how organizations establish trust, and where human…
Dinner reservations are the easy part; you want to know when an AI agent should stop.
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Short reviews from the PlayNext desk, based on the episodes we processed.
AI adoption falters when the human system around it is unready.
Alter Everything treats AI less as a tooling debate than as a people one. Joshua Burka's late-2026 thought experiment keeps the focus on ownership, accountability, and the people touched when AI starts shaping decisions, workflows, and outcomes.
Healthcare AI works best here when it is anchored in clear use cases, safety, and workflow.
Healthcare AI is treated here less like a shiny product story and more like a question of safety and workflow. The host keeps the central tension in view: where AI can help, where it should stay out of the way, and how leaders judge what good enough means when mistakes in care…
Ari Kaplan's Moneyball roots frame a conversation about AI, work, and human impact.
Alter Everything uses the conversation with Ari Kaplan to take a broad view of how data travels from sports analytics into workplace decisions.
A 200th-episode AI checkup on agents, trust, and which work should stay human.
Alter Everything marks its 200th episode by looking ahead to what AI in 2026 might resemble, with Joshua Burkow joined by Patrick McGarry of ServiceNow and Dr. Jupiter Bakeku of Alteryx.
A 10-year community tribute that turns forum habits into jobs, badges, jokes, and real help.
Alter Everything turns its 10-year community milestone into a portrait of a forum that functions less like a help desk than a working network.
Host Jack Rhysider narrates true hacking, breach, and privacy stories from the people involved.
David Pierce and Verge staffers cover AI industry news, gadgets, and tech policy weekly.
Long-form interviews on AI coding agents, infrastructure, and security, plus a recurring SED News roundup.
Founders and engineers on AI coding agents like Claude Code, and supply chain security.
David Sparks and Stephen Robles dig into Keyboard Maestro, Shortcuts, and Mac automation weekly.
Joshua Burka opens with a late-2026 thought experiment, asking what changes when AI starts shaping decisions, workflows, and outcomes.
The host opens by treating healthcare as the toughest AI test case.
Joshua Burkow opens on Ari Kaplan and the long thread from Moneyball to AI.
The 200th show arrives with Joshua Burkow stepping into the host role going forward.
A farewell episode for host Megan Bowers, discussing her data career journey, the value of networking, and the future of data analytics.
Megan Bowers interviews Andrew Merrill about best practices for integrating generative AI into Alteryx workflows, covering design patterns, challenges, and new features.
Megan Bowers marks 10 years of the Alteryx community.
Alteryx employees discuss ESG reporting and sustainability efforts within the company and how customers use Alteryx for ESG reporting.
Megan Dibble interviews Akshay Sumanathan about his book 'Winning with Data Science' and how to improve collaboration with data science teams and close the data skills gap.
Calvin Tang discusses his journey with Alteryx, his role as a top community contributor, and how to get involved in the Maveryx community.