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All Episodes

Data Transformers Podcast — 61 episodes

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Title
1

Data Analytics & Decision Making - Amaresh Tripathy

2

Inclusive Excellence for a Technology driven business - Dean Ian Williamson

3

Analytics need to compel action from business leaders - Elif Tutuk

4

Continuous Data Quality Monitoring with Gangesh Ganesan

5

The Future of Women in AI is bright according to The Data Leader of The year, Adita Karkera

6

Five Types of Thinking for High Performing Data Scientists

7

Data Analytics By Design with Dr. Kirk Borne

8

Building a 24 hour Data Science Community with Danielle Oberdier of Dikayo Data

9

Cybersecurity and AI working together to make systems safe with Dr. Madiha Jafri

10

To improve data quality, start at the source - Jacklyn Osborne

11

Data Ops should be part of everyone on the Data team - Christopher Bergh

12

Combining the passions of Data and Teaching with Laura Ellis

13

Overview of 2021 MIT Sloan CIO Symposium with Allan Tate

14

Data Diva talks data privacy - Conversation with Debbie Reynolds

15

Iceberg strategy for Chief Digital/Data Officers

16

The pillars of a successful data strategy - Jennifer Agnes

17

Storytelling ABOUT the data is as important as storytelling WITH the data

18

Security, Privacy, Integrity, Transparency for AI Systems - Pamela Gupta

19

Ethical considerations for companies in implementing AI

20

Aligning data processes, management & tools in a CDO role

21

Focus on business use cases first - Greg Coquillo

22

Impact of COVID-19 on digital transformation of education and health

23

Navigating a CDO role across geographies, organizations and cultures

24

Data monetization starts with focus on Customer engagement & Customer Journey

25

Collaboration and Data competency are key for Data Analytics Success

26

Using Data Analytics for human capital management and career management

27

Helping Businesses Responsibly Implement AI

28

How To Measure, Manage, and Monetize Information As An Asset

29

Defensive Versus Offensive Data Strategies

30

Can Video Artificial Intelligence help with use cases like Elderly care and Child care?

31

Is Video Artificial Intelligence Ready for Prime Time?

32

How to address the blind spots of data scientists

33

Data Science teams need people with multiple skill sets

34

What Does It Take To Be A Data Scientist?

35

Developing Practical AI Applications - Patrick Bangert

36

Good Artificial Intelligence Governance is Good Business

37

What is Responsible AI and Ethical AI?

38

Collaboration is key to formulate and implement Data strategy

39

From a Data Modeler To Chief Data Officer

40

From Liberal Arts to Data and Analytics strategy advisor

41

The value of Strategy and Data Culture in organizations with Jill Dyche

42

Three Most Important Legs of Information Management

43

Data Governance with a focus on Data monetization with Kevin Ladwig

44

SMARTER framework to drive decisions using data

45

Data to Insights & Decisions to Actions with Lori Silverman

46

Data Strategy for FinTech use cases such as Fraud Detection

47

Artificial Intelligence & Machine Learning in Financial Sector - Shailendra Malik

48

AI requires interdisciplinary teams, Quality Data & Explainability

49

A fascinating journey as the head of Artificial Intelligence with Fiona Browne

50

How to build and scale a data advisory business with Jay Zaidi

51

Deep Dive on Data strategy, Data management, Data Governance with Jay Zaidi

52

Laying out a solid foundation to facilitate Digital Transformation

53

Digital Transformation in the Insurance Industry with Shefali Sonpar

54

Data Science career advice, future trends, and LinkedIn Top Voice Vin Vashishta

55

Monetizing Machine Learning - Vin Vashishta

56

The Path To Being a Data Management Leader From Human Resources - Abel Aboh

57

Abel Aboh's 10 Commandments of Data Management

58

Building AI-driven insurance policy review startup - Chris Cheatham

59

Implementing/Operationalizing Analytics At Scale & At Speed - Dr. Bonnie Holub

60

Why This Is The Last Podcast On Data That You Should Listen To