Using Data and AI to Democratize Entity Resolution and Master Data Management

1

Introduction

00:00 • 2min

2

The Challenges of Entity Resolution

01:56 • 3min

3

How LLMs and Entity Resolution AIs Can Help Eliminate the Accuracy Problem in Entity Resolution

04:30 • 2min

4

The Future of Vector Databases

07:00 • 2min

5

The Challenges of a Sequence Neutrality System

09:06 • 2min

6

How to Parse the ER Challenge

10:47 • 2min

7

Gen 6's Hold Start Problem

12:37 • 2min

8

How to Use Conversational AI to Explain Your Decisions

15:05 • 1min

9

The Relationship Between Large Language Models and Our AI for Resolution

16:27 • 2min

10

How to Build a Multi-Script Explainable Energy Resolution System

18:17 • 2min

11

The Evolution of Entity Resolution

20:13 • 2min

12

Entity Resolution: A Mainstream Idea

22:04 • 3min

13

How to Use Elastic Elasticling on AWS to Automate API Checks

25:06 • 2min

14

The Role of Tools in Entity Resolution

27:27 • 2min

15

The Future of Language Computer Vision

29:48 • 2min

16

The Pros and Cons of Deep Learning

31:21 • 2min

17

Vector Databases and Vector Search: The Future of Data Mining

33:43 • 2min

18

Multi-Modality Anti-Entity Resolution Defakes

35:55 • 2min

19

The Challenges of Scale and Latency for Organizations

38:03 • 2min

20

Quantum Computing and Conversational AI

40:15 • 2min

21

How to Build a Conversational in-House Using Open Source Code

42:40 • 2min

22

The Future of CX Is Coming

44:15 • 2min

23

The Importance of Custom LLM in Corporate Security

46:19 • 2min

24

AI and Machine Learning in the Real World

48:15 • 2min