AI Webinar 2: How to manage data. Data quality with AI and real-time analytics. Cases for business

Olena Domanska, Head of Data Science at Avenga, together with Jacek Chmiel, Director of Avenga Labs, Lyubomyr Senyuk, R&D Director at Avenga, and Felix Bahr, Data Scientist at Avenga showcase how AI helps to translate real-time analytics for data into business cases that drive both top and bottom-line outcomes.
Intro
00:30 About Avenga
01:50 Presenting speakers
Data science for business
03:48 Webinar focus: real time data analytics & augmented data quality
Real time data analytics
04:10 Real time data analytics for business
Case 1
07:01 Wao.io by Avenga
07:32 How it works
09:00 Challenges & solutions
13:46 Project details
Case 2
17:29 Real time claim resolution with Machine Learning
21:27 Claims verification system
25:22 Architecture
Case 3
25:48 Computer vision for real-time time series analysis
34:42 Real time data analytics trends
Data quality
40:04 Data quality importance for business
42:45 Data quality management landscape
43:42 Augmented data quality management
Case 4
44:39 Address Matching for enriching data quality
46:04 Project background
46:52 Challenge
48:28 Solution & results
54:39 Google Places API: introducing a latent ID variable
Case 5
55:22 Deduplication for meaningful insights
58:54 Record Matching for enriching data quality
1:00:00 Approach overview
Case 6
1:02:27 Data discovery for accurate business decisions
1:07:27 Challenge, goal & results
1:08:24 Project scope
Case 7
1:12:11 Data Science for enhanced information management
1:14:06 Challenge & solution
1:15:00 Augmented data quality trends
Explore Avenga: www.avenga.com/