Open-Data

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Technology

Knowledge Sharing
weekly event ofweekly event of FORTSFORTS
-part I, Event I

Open Data
Do you know exactly how much of your tax
money is spent on street lights or on cancer
research?

Definition
● “Open data is data that can be freely used, re-used and
redistributed by anyone - subject only, at most, to the
requirement to attribute and sharealike.” -open definition

ability of diverse systems and organizations to
work together
Interoperability

Open data...
● Availability and access
● Re-use and redistribution
● Universal participation

How to open data
● Choose your dataset
● Apply an open license
● Make the database available
● Make it discoverable

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Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

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As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

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Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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Open-Data

1. Knowledge Sharing weekly event ofweekly event of FORTSFORTS -part I, Event I

2. Open Data Do you know exactly how much of your tax money is spent on street lights or on cancer research?

3. barriers

4. Opportunity to engage

5. Definition ● “Open data is data that can be freely used, re-used and redistributed by anyone - subject only, at most, to the requirement to attribute and sharealike.” -open definition

6. ability of diverse systems and organizations to work together Interoperability

7. Open data... ● Availability and access ● Re-use and redistribution ● Universal participation

8. How to open data ● Choose your dataset ● Apply an open license ● Make the database available ● Make it discoverable

9. Lets do now !!!

10. Lets do now !!!

Open-Data

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