Rethinking Data, TDWI Executive Summit talk

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This is a short talk about our conception of what data is, why and how that conception is too narrow for the future of business intelligence, and where we can pick up some new (and old) ideas about gathering, processing and managing information. I'll have a full transcript of the talk up in the next day or two: stay tuned. This talk was given at the February 2009 TDWI executive summit in Las Vegas.

Technologie

Leveraging Open Source
Rethinking Data Across
Business Intelligence
Your Organization
TDWI Executive Summit, February 2009
Mark R. Madsen
Mark R. Madsen – February 2009
http://ThirdNature.net
www.ThirdNature.net

Our ideas about
information are
outdated.

Information is a thing - with many forms.

Information can be organized in many
ways, simultaneously.

If Pepys diaries can be digital, anything can

Words are data.
Locations are data.
Time is data.

This is not a web site. It’s a database.

We need to
process the text
into new forms
and models.
Manual labor
(as via tagging
and taxonomies)
won’t do the job.

Current techniques for
modeling and managing
data are too rigid and
incapable of describing all
the possible relationships.

We need smarter data.

To accomplish this we need new ways

…of organizing and linking

Page 18

To accomplish this we need new ways

…of organizing and linking

…of capturing and annotating

Page 19

To accomplish this we need new ways

…of organizing and linking

…of capturing and annotating

…of accessing and delivering

Bridge the data warehouse to other uses: SOA, not SQL
Page 21

“We still have our eyes fixed on the rearview mirror
looking firmly and squarely at the job that is
receding into the nineteenth‐century past. The job
that we feel we should have by rights belongs to
the old mechanical technology of classified data
and fragmented tasks. Yet we now surrounded by
a new environment, of integrated tasks, integrated
knowledge, and it demands pattern recognition.”
Marshall McLuhan, 1967

Creative Commons
Thanks to the people who made their images available via creative commons:
book of hours manuscript2.jpg - http://flickr.com/photos/jeffrey/89461374/
card catalog4.jpg - http://flickr.com/photos/deborahfitchett/2372385317/
royal library san lorenzo.jpg - http://flickr.com/photos/cuellar/370663920/
outdated gumshoe.jpg - http://flickr.com/photos/olivander/372385317/
book of hours manuscript1.jpg - http://flickr.com/photos/jeffrey/89461261/
semantic network visualization.jpg - http://flickr.com/photos/toby_maloy/102413554/
subway dc metro.jpg - http://flickr.com/photos/musaeum/509899161/
Gare do Oriente Lisbon airport.jpg - http://flickr.com/photos/higaara/228673603/

Slide 23
June 2008 Mark Madsen

Creative Commons
This work is licensed under the Creative Commons
Attribution-Noncommercial-No Derivative Works 3.0 United
States License. To view a copy of this license, visit
http://creativecommons.org/licenses/by-nc-nd/3.0/us/ or send
a letter to Creative Commons, 543 Howard Street, 5th Floor,
San Francisco, California, 94105, USA.

Slide 24
June 2008 Mark Madsen

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Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

sammart93

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This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

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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?

Driving Behavioral Change for Information Management through Data-Driven Gree...

Enterprise Knowledge

Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 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/

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

apidays

Scaling API-first – The story of a global engineering organization

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🐬 The future of MySQL is Postgres 🐘

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

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With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Principled Technologies

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04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Powerful Google developer tools for immediate impact! (2023-24 C)

Driving Behavioral Change for Information Management through Data-Driven Gree...

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Scaling API-first – The story of a global engineering organization

🐬 The future of MySQL is Postgres 🐘

Artificial Intelligence: Facts and Myths

Boost PC performance: How more available memory can improve productivity

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Histor y of HAM Radio presentation slide

Rethinking Data, TDWI Executive Summit talk

1. Offline is the New Online

4. Leveraging Open Source Rethinking Data Across Business Intelligence Your Organization TDWI Executive Summit, February 2009 Mark R. Madsen Mark R. Madsen – February 2009 http://ThirdNature.net www.ThirdNature.net

5. Boundaries

6. Information is a thing.

7. It can be organized.

8. So it can be stored.

9. Our ideas about information are outdated.

10. Information is a thing - with many forms.

11. Information can be organized in many ways, simultaneously.

12. It can be discovered in many ways.

13. If Pepys diaries can be digital, anything can

14. Words are data. Locations are data. Time is data. This is not a web site. It’s a database.

15. We need to process the text into new forms and models. Manual labor (as via tagging and taxonomies) won’t do the job.

16. Current techniques for modeling and managing data are too rigid and incapable of describing all the possible relationships. We need smarter data.

17. Data is a platform

18. To accomplish this we need new ways …of organizing and linking Page 18

19. To accomplish this we need new ways …of organizing and linking …of capturing and annotating Page 19

20. To accomplish this we need new ways …of organizing and linking …of capturing and annotating …of accessing and delivering

21. Bridge the data warehouse to other uses: SOA, not SQL Page 21

22. “We still have our eyes fixed on the rearview mirror looking firmly and squarely at the job that is receding into the nineteenth‐century past. The job that we feel we should have by rights belongs to the old mechanical technology of classified data and fragmented tasks. Yet we now surrounded by a new environment, of integrated tasks, integrated knowledge, and it demands pattern recognition.” Marshall McLuhan, 1967

23. Creative Commons Thanks to the people who made their images available via creative commons: book of hours manuscript2.jpg - http://flickr.com/photos/jeffrey/89461374/ card catalog4.jpg - http://flickr.com/photos/deborahfitchett/2372385317/ royal library san lorenzo.jpg - http://flickr.com/photos/cuellar/370663920/ outdated gumshoe.jpg - http://flickr.com/photos/olivander/372385317/ book of hours manuscript1.jpg - http://flickr.com/photos/jeffrey/89461261/ semantic network visualization.jpg - http://flickr.com/photos/toby_maloy/102413554/ subway dc metro.jpg - http://flickr.com/photos/musaeum/509899161/ Gare do Oriente Lisbon airport.jpg - http://flickr.com/photos/higaara/228673603/ Slide 23 June 2008 Mark Madsen

24. Creative Commons This work is licensed under the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/us/ or send a letter to Creative Commons, 543 Howard Street, 5th Floor, San Francisco, California, 94105, USA. Slide 24 June 2008 Mark Madsen

Rethinking Data, TDWI Executive Summit talk

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