MakoLab would like to invite you to join a discussion on the enhancement of enterprise data projects through innovative technology services, such as Knowledge Graphs, Ontologies and Machine Learning
will co-host this event on Wednesday, January 27, 2021. Starts at 11 AM EST / 4 PM GMT
For the vast majority of companies, data management has been a very hot subject for quite some time now. The first wave of attempts to take control of data took the form of data warehousing. Unfortunately, this approach turned out to be limited in scope and failed to allow for the use of all the available data.
The next evolutionary step moved business organizations into the data lake space. However, the number of failed data lakes - in reality, data swamps - evidently suggests otherwise.
We are inviting you to join us on a journey exploring some not-so-common answers to common issues. We will be shining a new light on topics like data semantics, ontologies, NLP, knowledge graphs, and modern machine learning. Our approach involves brief, straightforward presentations that are crystal-clear to everyone and not just to data gurus!
The webinar will look at the following questions:
What data are really crucial to you?
What is a data warehouse? A data lake? A data swamp?
How can Open Knowledge Graphs combined with Machine Learning change the way you handle some of your data problems?
What common problems crop up in data projects and how can they be avoided?
Which solutions go beyond the limitations by using some not-so-common approaches?
The expert panel includes:
- Founder and CTO of MakoLab, CEO of LEI.INFO
Robert Sendacki - Founder and CEO of MakoLab Consulting
Tomasz W. Stepien - Manager for DCAM and BCM, MakoLab Consulting
- Founder of Data Liberate, Active contributor to the development of Schema.org
Andrzej Grochowalski - CIO at Inpost
Jans Aasman - CEO at Franz Inc.
Mike Meriton - Moderator, Co-Founder & COO, EDM Council
Can't attend the webinar? Register to receive the link to the recording.
Head of Communication & Business DevelopmentMakoLab
+48 604 176 276
Makolab SA published this content on 21 January 2021 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 21 January 2021 07:19:05 UTC