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All episodes

Secrets of Data Analytics Leaders, 261 episodes. Page 1 of 3.

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1

Power BI Best Practices from the Field: Lessons from Enterprise Deployments - Audio Blog

2

How Data Product Marketplaces Enable Seamless Data Consumption and Generate Value - Audio Blog

3

Book Review: How to Make Money with Data - Audio Blog

4

Balancing Act: Five Principles to Optimize Hybrid Cloud Environments - Audio Blog

5

Streaming Data Governance: Three Must-Have Requirements to Support AI/ML Innovation - Audio Blog

6

What is a Data Product? - Audio Blog

7

Cloud, On Prem, Hybrid, Oh My! Where AI Adopters Host their Projects and Why - Audio Blog

8

Poor Data Quality is a Full-Blown Crisis: A 2024 Customer Insight Report - Audio Blog

9

From 4GL to GenAI: How SQL Automation has Evolved - Audio Blog

10

Overcoming The Challenge of Low Data Quality - Audio Blog

11

Keys to Succeeding in Your Product Information Management (PIM) Journey - Audio Blog

12

Are You Cloud Bound? The Case for Migration, Repatriation or Keeping Your Analytics Projects On Premises - Audio Blog

13

The AI/ML Tool Evaluation Template: A Guide to Smarter Selection - Audio Blog

14

The Buyer’s Guide to Selecting the Right Enterprise Data & Analytics Tool - Audio Blog

15

Ultimate Guide to Streaming Data Pipelines: Six Criteria to Evaluate and Select the Right Tool

16

Why and How Streaming Data Drives the Success of Generative AI

17

Managing Change in the Age of AI: The Head, Heart, and Herd Framework - Audio Blog

18

Analytics and AI for SAP Environments: Build a Unified Data Foundation to Drive Advanced Use Cases - Audio Blog

19

Build or Buy RAG? Four Questions to Guide Your Approach to Retrieval Augmented Generation for GenAI - Audio Blog

20

Predictions 2025: Everything is About to Change - Audio Blog

21

The Shiny Allure of Data Observability - Audio Blog

22

Unlocking Data Monetization Success - Audio Blog

23

Good Data Architecture - Anti-Monolith - Audio Blog

24

Blending Data Mesh and Data Fabric: Crafting a Balanced Data Strategy - Audio Blog

25

A Novel Approach for Reducing Cloud Data Warehouse Expenses from Coginiti - Audio Blog

26

Ten Key Market Trends in Next-Generation Data Catalogs - Audio blog

27

Refining the Right Fuel: How Data Integration Drives the AI/ML Model Lifecycle

28

Unveiling the Future of Data Catalogs - Audio Blog

29

Multi-Style Data Integration for AI/ML: Three Use Cases - Audio Blog

30

Self-Service is the Outcome, Not the Driver of a Data-Driven Organization - Audio Blog

31

Modernizing Analytics with Conversational Query Tools: Five Must Have Characteristics - Audio Blog

32

AI/ML Innovation Requires a Flexible Yet Governed Data Architecture - Audio Blog

33

Why Non-Profits Need a Data Strategy - Audio Blog

34

DataOps for Generative AI Data Pipelines, Part III: Team Collaboration - Audio Blog

35

Data Engineering for GenAI: Three Criteria to Evaluate Pipeline Tools - Audio Blog

36

12 Pitfalls to Avoid When Implementing Data Products - Audio Blog

37

Why Do I Need a Data Marketplace When I Have a Data Catalog? - Audio Blog

38

Driving Results with Conversational BI: Best Practices for Power and Casual Users - Audio Blog

39

Data Engineering for GenAI: How to Optimize Data, Pipelines, and Governance - Audio Blog

40

Why and How Data Engineers Will Enable the Next Phase of Generative AI - Audio Blog

41

DataOps for Generative AI Data Pipelines, Part II: Must-Have Characteristics - Audio Blog

42

Achieving Success with Data Products: An Interview with Henrik Strandberg

43

Achieving Fusion: How GenAI and Data Engineering Help One Another - Audio Blog

44

Improving GenAI Accuracy with Master Data Management - Audio Blog

45

GenAI-Driven Analytics: Product Evaluation Criteria for Conversational BI - Audio Blog

46

DataOps for Generative AI Data Pipelines, Part I: What and Why - Audio blog

47

Data Governance In The Era Of Generative AI - Audio Blog

48

Meeting the Data Where It Is: Time for the Business to Step Up - Audio Blog

49

The EU AI Act and the Emergence of New Global Standards - Audio Blog

50

Mitigating AI’s Unintended Consequences - Audio Blog

51

Interview with Tiffany Perkins-Munn

52

A People-First Approach to Developing Data Literacy - Audio Blog

53

The Next Wave of Generative AI: Domain-Specific LLMs - Audio Blog

54

Machine Learning and Streaming Data Pipelines, Part I: Definitions and Architecture - Audio Blog

55

Organizing for Success Part III: How to Organize and Staff Data Analytics Teams - Audio Blog

56

The Continuing Evolution Of Data Management - Audio Blog

57

The Path To Modern Data Governance - Audio Blog

58

Trends for 2024: Our Team Gazes into the Crystal Ball - Audio Blog

59

The Data Leader’s Guide to Generative AI, Part I: Models, Applications, and Pipelines - Audio Blog

60

A Fresh Look at Data Modeling Part 2: Rediscovering the Lost Art of Data Modeling - Audio Blog

61

Data Products Part II: Data Products Require Product Thinking - Audio Blog

62

A Fresh Look at Data Modeling Part 1: The What and Why of Data Modeling - Audio Blog

63

Data Democratization and the Duties of Data Citizenship - Audio Blog

64

Generative AI Needs Vigilant Data Cataloging and Governance - Audio Blogs

65

Why and How to Enable Data Science with an Independent Semantic Layer - Audio Blog

66

Weighing the Risk and Reward of AI: A Non-Technical Guide for Business Leaders - Audio Blog

67

An Architectural View Of Metadata Management - Audio Blog

68

Analyst Series: Should AI Bots Build Your Data Pipelines?

69

The New Data Pipeline For Generative AI: Where And How It Works - Audio Blog

70

Analyst Series - Operating Models for Data & Analytics: How to Align Resources Across the Enterprise

71

Driving ROI With Master Data Management, Part III: Project Iteration - Audio Blog

72

AIThe Opportunity And Risk Of Generative AI, Part III: Responsible AI Ethics - Audio Blogs

73

Let’s Be Clear: A Data Asset Is Not A Data Product - Audio Blog

74

The Opportunity and Risk of Generative AI Part II - Audio Blogs

75

Enterprise Data And The Taming Of The Generative AI Frontier - Audio Blog

76

Analyst Series - Data Fabric: The Next Step in the Evolution of Data Architectures

77

Collaboration Podcast: The Future of ML Governance and Data Management with Kevin Petrie

78

Driving ROI with Master Data Management, Part II: Your First Project - Audio Blog

79

Four Traps to Avoid When Developing Data Products - Audio Blogs

80

The Opportunity and Risk of Generative AI Part I: A Nuclear Explosion - Audio Blog

81

DataOps In Data Engineering - Audio Blog

82

Should AI Bots Build Your Data Pipelines? Part IV - Audio Blog

83

Should AI Bots Build Your Data Pipelines Part III - Audio Blog

84

Analyst Series: Governing Costs with FinOps for Cloud Analytics

85

Independent Study: BI Vendor Messaging Shows Lack of Differentiation - Audio Blog

86

Driving ROI with Master Data Management, Part 1: Build Your Business Case - Audio Blog

87

The Universal Semantic Layer: More Than Enough?

88

Analytics Center of Excellence Part I: How to Shape the Organization - Audio Blog

89

The Modernizing Data Stack: Three Ways to Balance New and Old - Audio Blog

90

Should AI Bots Build Your Data Pipelines? Part II - Audio Blog

91

Data Products: Part of a Data Mesh Initiative or a Stand-Alone Strategy - Audio Blog

92

Data Mesh: Evaluating Your Organization's Readiness for a Decentralized Data Future - Audio Blog

93

Best Practices For Developing And Scaling Data Products - Audio Blog

94

How Zone-based Data Processing Turns Your Monolithic DW into a Modern Data Architecture - Audio Blog

95

Examining the Role of ChatGPT & Large Language Models in Data Engineering - Audio Blog

96

The Convergence of Data Governance and Privacy: Takeaways from the Global Privacy Summit -Audio Blog

97

The Why, What, Who and Where of Vector Databases - Audio Blog

98

Developing a Robust Data Quality Strategy for Your Data Pipeline Workflows - Audio Blog

99

Operational Data Hub – Responding to Data Friction and Technical Debt

100

Data Mesh: The Sky Is Not Falling - Audio Blog