UCS 5.0 - Manageable Freedom of Choice - Ingo Steuwer - Univention Summit 2020

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Univention Corporate Server realizes the vision of a modular, open and integrated software stack with intuitive operation in administration and for end users. With UCS 5.0, the first major release in 5 years, we not only want to modernize this claim but also think one step ahead.

Software

UCS 5.0
Manageable Freedom of Choice
Ingo Steuwer
Univention GmbH

Open Source
Open Standards
Open Platform
Full Control

Product Milestones 2019:
2019
Multi Azure AD sync
End User Self Service
Admin Diary
Portal
Samba Trusts
UMC Usability
UDM REST API
Samba Provisioning
SAML aliases
UCS + App releases
UCS@school
REST API
Corporate Design

Platform growth in 2019
22%
36%
40%
32%
O
rganizations
using
U
CS
Accounts
m
anaged
w
ith
U
CS
Apps
operated
on
U
CS
N
on
U
nivention
Apps
operated

What‘s going on in UCS 5.0 ? - Groundwork
●
Debian Release Upgrade package & feature upgrades→
●
Python 3 Migration
●
Focus is to keep APIs compatible – but that‘s not always possible
●
A great deal of work...
●
Remove unneeded and / or deprecated stuff
●
Old encoding / encryption types
●
Apps / Functionality with no or limited usage
Feedback welcome!

What‘s going on in UCS 5.0 / 5.x ? - Backlog
●
Integrated IDM is focus
●
Self Service
●
SSO and App Integration
●
Change in Release policy
●
Major Releases in shorter intervals
●
Less modifications in minor
releases
●
More functionality in Apps, more APIs in the Platform
●
Long term evolution to keep upgradeability

Vision: Integrated platform
Integration in Univention Portal
●
Seamless user experience
●
Integrated Apps
Interacting Apps
●
Integration between Apps
●
Open, common standards
Individual modules
●
Selectable functionality
●
Integrated & Scalable
Expected functionality
●
Focused functionality
●
Usability, Usability, Usability
Identities

What‘s going on in UCS 5.0 ? - Portal
●
Improved UI and
usability
●
Easier access to login,
self service and other
features
●
Embedded mode for
UCS Apps and external
applications
●
SCREENCAST

What‘s going on in UCS 5.0 ? - Integration
●
Integrate Apps with each other
●
Standards and technology is
available - automated
configuration & usability is
missing
●
Example: Access to files in a sync
& share solution from Webmail
●
PoC with OX and ownCloud

Key takeaways for 2020
●
Improved Platform with UCS 5.0 – release mid of 2020
●
New & improved Features in App Updates
●
Integration of Apps
●
In / with improved Portal
●
With each other

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Foundation models are machine learning models which are easily capable of performing variable tasks on large and huge datasets. FMs have managed to get a lot of attention due to this feature of handling large datasets. It can do text generation, video editing to protein folding and robotics. In case we believe that FMs can help the hospitals and patients in any way, we need to perform some important evaluations, tests to test these assumptions. In this review, we take a walk through Fms and their evaluation regimes assumed clinical value. To clarify on this topic, we reviewed no less than 80 clinical FMs built from the EMR data. We added all the models trained on structured and unstructured data. We are referring to this combination of structured and unstructured EMR data or clinical data.

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Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

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