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All Episodes

The Tech Trek — 710 episodes · page 1 of 8

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Title
1

Technical Founders, AI Pivots, and the Value of Focus

2

AI Observability: Measuring Quality, Risk, and ROI

3

How AI Is Changing Engineering Teams and Hiring

4

Voice AI Agents: Testing, Trust, and Scale

5

AI Engineering, Small Teams, and Public Demo Days at Omni

6

From Token Maxing to Outcome Maxing in AI Engineering

7

Problem Statements, Business Outcomes, and Better Technology Decisions

8

Physical AI and the Real Time Supply Chain

9

From Smart Dust to Edge AI: Building Intelligence Everywhere

10

Early Stage AI Investing: Moats, Expertise, and Founder Anti Patterns

11

AI Agents, Engineering Workflows, and the Cost of Being Wrong

12

AI Agents, Identity, and the Security Gap

13

Can AI Agents Help One Founder Run a Company?

14

How AI Is Changing Engineering Workflows and Software Teams

15

How AI Agents Are Changing Who Can Build Software

16

How to Build a Data Team Ready for AI

17

How AI Startups Can Challenge the Enterprise Services Model

18

From Head of AI to CTO: How AI Is Changing Engineering and Product

19

Where VCs See Opportunity in Regulated AI

20

Why AI Makes Work Faster but Teams Slower

21

AI Deepfakes and Hiring Fraud: Can You Trust Who You’re Interviewing?

22

AI Is Changing Software Engineering: Engineers Need to Solve Problems, Not Just Write Code

23

How AI Is Changing Sports Analytics and Strategy

24

How Do You Hire Engineers When AI Writes the Code?

25

AI Data Centers Are Outgrowing the Power Grid

26

How Coding Agents Are Changing Machine Learning Engineering

27

How AI Is Reshaping Healthcare Revenue and Access

28

How AI Agents Are Rewriting Enterprise Analytics

29

Scaling Enterprise AI Beyond the POC

30

How Todoist Is Rethinking Engineering With AI

31

The Future of Engineering May Have Fewer Handoffs

32

The Hard Part of Voice AI Is Not the Voice

33

Why Healthcare AI Is So Hard to Ship

34

Engineers Are Becoming AI Orchestrators

35

Your Team Is Using AI Anyway

36

What AI Agents Need Before Production

37

Yahoo CTO on AI, Engineering Velocity, and Why the SDLC Has To Change

38

Why AI Founders Need to Say No Faster

39

Why Sovereign AI Matters Now

40

Healthcare AI Starts With Boring Problems

41

AI Coding Agents Are Changing Engineering Teams

42

Agentic AI Has a Data Layer Problem

43

When Agentic Coding Changes The Team

44

Data Teams Are Moving Beyond Dashboards

45

AI Is Changing Coding, Not Engineering

46

AI Is Changing How Engineers Actually Work

47

AI Can Handle the Tax Code. What Still Needs a Human?

48

He Built a Public Company. Now He Is Starting Over

49

Why Fintech Products Get Stuck Before Launch

50

Coding Isn’t the Hard Part Anymore

51

How AI Is Changing the Way Engineering Teams Work

52

Why AI Still Needs Human Judgment

53

Why AI Will Not Fix Broken Data Teams

54

AI Is Changing Cybersecurity Faster Than Teams Can Keep Up

55

Why Data Teams Need Software Engineering Discipline

56

AI Is Rebuilding Mortgage From the Inside Out

57

AI Won’t Replace Accountants, It Will Change Where They Create Value

58

Healthcare Can’t Go Down, Cloud, AI, and Reliability

59

The Ethics of Offensive Security

60

Building Enterprise AI Agents, What Most Companies Still Get Wrong

61

How AI Coding Agents Are Changing Software Engineering

62

How AI Coding Agents Are Changing Software Engineering

63

How AI Will Change Procurement and Knowledge Work

64

How AI Is Reshaping the CISO Role and Modern Security Teams

65

From Engineer to CEO | Tech Trek Brief

66

How Shadow AI Is Changing Cybersecurity and Insider Risk

67

How Agentic AI Changes Enterprise Software

68

How AI Is Changing Crypto Crime, AML, and Cyber Investigations

69

How Data Teams Scale Project Management Without Slowing Down

70

Why Enterprise AI Fails Without Better Data and Business Process Design

71

How Data Leaders Build New Technical Capabilities

72

Machine Learning: What Businesses Might Actually Need

73

How Robotics Could Transform Construction

74

Why Most Companies Still Struggle to Operationalize AI

75

From Engineer to CEO, Building an AI Mortgage Company

76

What VCs Really Want From AI Startups in 2026

77

The Internet Was Built for Humans. AI Is About to Change That.

78

How AI Is Modernizing the Equipment Rental Industry

79

The Future of Earth Intelligence, From Imagery to Answers

80

Why Research Scientists Are Taking Over AI Startups

81

From Exit to Starting Over: What Nobody Tells You About Building Again

82

Edge AI Is Shifting From Chat To Action

83

How to Build a Data Team From Scratch (And Get Leadership to Invest)

84

The Hiring Mistake That Kills Most Startups (And What to Do Instead)

85

The CPTO Role Explained, How Product and Engineering Move Faster Together

86

How AI Fixes the Healthcare Incentive Problem

87

Stakeholder Expectations, Deliver Value Faster

88

Pick The Jockey, Not The Idea

89

How to Break Into Robotics Without a Perfect Background

90

Stablecoins, AI Fraud, and the Future of Sports Payouts

91

The Founder Rules Nobody Tells You

92

Modernizing Healthcare Without the Buzzwords

93

The Hidden Fintech Behind the Compute Boom

94

Data Fabric Meets AI, The Trust Layer Most Teams Skip

95

Cloud Costs vs AI Workloads, The Storage Decisions That Decide Scale

96

AI Is Changing Art Faster Than You Think.

97

AI in the Enterprise, Why Pilots Fail and What Actually Scales

98

AI Is Rewriting Manufacturing Quality, Here’s What Changes

99

Synthetic Data Explained, When It Helps AI and When It Hurts

100

The Real Learning Curve of Engineering Management