Conversations on Applied AI cover art

All Episodes

Conversations on Applied AI — 113 episodes

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Title
1

Tyler Moberg - Five Minutes a Day: Building an AI Habit That Transforms Your Work

2

Eric Lealos - Test Bench to Tech Stack: Applying AI in Manufacturing

3

Peter Olson-Skog - How AI Is Forcing Schools to Rethink Learning

4

Thomas Feeney - AI, Philosophy, and the Future of Leadership

5

Ren Bin Lee Dixon - Exploring Global AI Policies

6

Dr. Elizabeth M Adams - Harnessing AI Responsibly

7

David Quimby - Systematic Innovation and the Art of AI:

8

Ayisha Tabbassum - AI Upskilling: A New Era of Workforce Empowerment

9

Caroline Holden - How Artists Will Shape the Future of Tech

10

Jean Machart - From Digital Transformation to AI-Driven Healthcare

11

Michael Pitt - When AI Listens Better Than We Do

12

David Howard - Why AI Adoption is Harder Than AI Development

13

AI Chronicles: Transformative Talks from 2024

14

Łukasz Borzęcki - AI for Business and Development: Practical Tools and Strategies

15

David Wynn - Striking the Balance Between AI Summarizing and Human Insight

16

John Stanton - Using AI to Bring Access to Communities and Those in Need

17

Kevin Liu - The Future of Machine Learning with Creative AI and Science

18

Satish Movva - Transforming Eldercare with Artificial Intelligence

19

Nick Roseth - Human Factors Psychology Applied to Artificial Intelligence

20

Zach Hatch - The Future of Seamless Interactions with AI

21

Lori Ryan - Empowering Us With the Foundational Knowledge of AI

22

Rajeev Bukralia - Applying AI to the Right Problem at the Right Time

23

Pete Edstrom - Using AI in Your Product and Educational Journey

24

Tim Bornholdt - How to Explore and Use Artificial Intelligence Products

25

Donna Herbel - Your Path to Becoming an AI Tech Hobbyist

26

Jim Wilt - Using AI to Make a Difference in How You Work

27

Andy Carroll - Healthcare: The Perfect Storm for Disruption by AI

28

Jody Carey - The Future of Copywriting, Education, and the Workplace

29

Will Preble - Creating Heart-Centered Technology

30

David Espindola - What AI Means to Us as Human Beings

31

Jenny Zhang - How AI Can Help Creators and Influencers Succeed

32

Bradley Canham - The Standing Reserve That AI Is Ready to Release

33

Michael Petersen - Artificial Intelligence and Repairing Your Automobile

34

Alex Muller - Deploying AI Easier and Faster Using Turn-Key Solutions

35

Rehgan Avon - Applying Artificial Intelligence to Strategic Initiatives

36

Beth Rudden - How Linguistics, Semantics, and Artifacts Improve Our Understanding of AI

37

Steve Hsu - Solving the Hallucination Problem

38

Cameron Wolfe - AI Personalization Services

39

Seth Uschuk - AI From the Perspective of a Full-Stack Engineer

40

Matt Nash - The Importance of Authenticity and Reliability in AI

41

Avinash Malladhi - Applying AI & ML in Optical Character Recognition ( OCR ) Solutions

42

Corbin Fonville - Uncovering Many Uses of AI in Coding and Education

43

Damien Riehl - The Importance of Humanity as We Bring AI and Law Together

44

Christopher Nguyen - Skillsets and the Foundations of Industrial AI

45

Sam Tyner-Monroe - Living at the Intersection of AI and Applied Statistics

46

Deborah Carver - Artificial Intelligence Through the Eyes of a Content Technologist

47

Dishant Gandhi - Building a Community for Chatbot Developers

48

Seth Clark - The Future of MLOps and AI at Scale

49

Mona Akmal - Using AI to Predict Efficient Revenue Growth

50

Eric Olson - Deriving Answers Using Word Embeddings in NLP

51

Dr. Antonio Di Fenza - Artificial General Intelligence Through the Eyes of a Futurist

52

Panos and George Karagiannis - Building AI Virtual Assistants With No-Code Platforms

53

George Bryant - Data Integrity, Analytics, and Personal Balance

54

Sam Cartford - Interpretable AI and Stock Market News Monitoring

55

Peter Scott - What AI Means for Your Life, Your Work, and Your World

56

Lois and Ross Melbourne - Moral Code | Women in Tech, Morality, and Ethical AI

57

Ngan MacDonald - Opening Opportunities by Liberating Healthcare Data

58

Cal Al-Dhubaib - Secure, Fair, Transparent & Auditable Models

59

Fraser Gray-Smith - Using Data Engineering to Create Business Value in AI

60

Stefan Krawczyk - The Power of ML Dataflows using Hamilton

61

Shawn Hymel - Technical Content and Community Outreach in AI, ML and IoT

62

Pete Warden - Bringing Deep Learning to Microcontrollers with TinyML

63

Younes Amar and Mohammed Sabri - Operationalized ML and Managing Customer Expectations

64

Daniel Kornev - Conversational AI | Today and Into the Future

65

Neil Sahota - Hybrid Intelligence | Complementing Human Abilities with Machine Capabilities

66

Tom Doyle - Applying AI to Always On Sensing Devices

67

Gian Marco - Combining AI and Low-Power Devices to Make the World Smarter

68

Blair Newman - Making Edge Devices Intelligent With No-Code Automation

69

Amelia Winger-Bearskin - Using Empathy to Create Responsible Technology

70

Bryant Cruse - Building Thinking Machines with Knowledge

71

Rob Telson - Edge AI on-Chip Processing and Learning

72

Brandon Satrom - AI and IoT in a World of Digital Transformation

73

Jigyasa Grover - Becoming a Published Author on ML and Women in AI Award Winner

74

Prasanna Balaprakash - DeepHyper | Scalable Automated Machine Learning for Scientific Applications

75

Caroline Sinders - The Intersection of Design, Art and Artificial Intelligence

76

Erik Beall - Computer Vision and Learned Expectations

77

Tim Kraska - Transforming How Data-Driven AI Teams Collaborate

78

Robert Parker - Building Intelligent Environments Using IoT and AI

79

Miles Porter - Perspectives on Analytics, AI and Data Science

80

Scott Litman - AI-Powered Knowledge Management Assistants

81

Francis Brero - Designing the Right AI for the Right Audience

82

Scott Brown - How Machine Learning Is Revolutionizing Veterinary Medicine

83

Paul Denman - Where IoT and Industry 4.0 Is Today

84

Jeff Coyle - Building Quality Content & Prediction Systems With AI

85

Josh Braaten - Optimizing Systems to Create Better Outcomes Using Machine Learning

86

Jacob Solawetz - DataFlows and Deep Learning Applications

87

Eri O'Diah - The Role of Human Bias in Artificial Intelligence

88

Erik Zwiefel - Asking the Right Questions of Artificial Intelligence

89

Ryan Phelan - The Impact of AI on Patents and Intellectual Property

90

QingHui Yuan - The Data Science of Physical Dynamic Systems

91

Greg Hayes - Applying Design Thinking and Machine Learning to Solve Business Challenges

92

Peter Voss - The Third Wave of AI

93

Sabina Stanescu - Building Better Products Using Responsible AI and MLOps

94

Jason Shepherd - Trust Fabrics, IoT and Interconnected Ecosystems at the Edge

95

Jessica Meyer - Why Diversity and Inclusion Are Important for AI Practitioners

96

Mike Hugo - Using AI Technologies for Biomedical Analysis

97

Danika Hannon - The Impact of Quantum Computing on Artificial Intelligence

98

Bongjun Kim - Sound Recognition and Audio Signal Processing with Machine Learning

99

Nick Walton - Using Artificial Intelligence to Augment Human Creativity

100

Fatma Kocer - Using Artificial Intelligence for Product Design and Simulation

101

Tyler Nigon - Artificial Intelligence in Production Agriculture

102

Nick Heller - Machine Learning for Medical Image Analysis

103

Tina Nguyen - From Vietnam to Becoming a Leader in Artificial Intelligence

104

Jake Mason - Building Data Science Communities and Applying Artificial Intelligence Before It Was Cool

105

Dave Mathias - Online Options to Learn Artificial Intelligence

106

Kevin Church - Data, Information, Knowledge and Profound Knowledge

107

Parker Erickson - Baseball, GCNs and the Next Generation of AI Practitioners

108

Dave Mathias - Data Coaching and Artificial General Intelligence

109

Josh Cutler - Building Expert Systems Using Artificial Intelligence

110

Joe Schneider - AI & Embedded Systems

111

Jon Herke - AI & The Next Generation of Emerging Technologists

112

Senthil Kumaran - AI & Personalized Healthcare

113

Dan McCreary - AI & Enterprise Knowledge Graphs