Discover what exists with Ontology2

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How it all started Photo Credit: Daniel Sparing The slides to this talk are licensed CC-BY-SA/3.0

Flickr kills the dream…

But Creative Commons Saves the Day

animalphotos.info

dbpedia & the semantic web Subject Predicate (Verb) Object <dbpedia:Albatross> <rdf:type> <dbpedia-owl:Bird> . http://dbpedia.org/ontology/Bird http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://dbpedia.org/resource/Albatross

the linked data cloud “Linking Open Data cloud diagram, by Richard Cyganiak and AnjaJentzsch. http://lod-cloud.net/”

automating the process search for candidates Identify topics filter correct images describe images dbpedia flickr

amazon mechanical turk

carpictures.cc

the business model

how many things exist? The game of 20 questions  220 = about a million…

what sort of things exist? “Everything on Earth:” Places, People, Creative Works, Life Forms, Technological Artifacts

ny-pictures.com

exploring the earth’s noösphere Noösphere, according to the thought of Vladimir Vernadsky and Teilhard de Chardin, denotes the "sphere of human thought".

ookaboo.com takes off

ookaboo semantic API http://en.wikipedia.org/wiki/Thailand API Thanks: Andyindia, Echiner1, Rene Eherhardt

Why don’t computers understand human language? The Ink is In The Pen The Pig is In The Pen Thanks: Seaniz, GiangHồThịHoàng, Claudia Scholz and

the human memome project One ring to bind them all?

Top-down? Bottom-up? Both! Merge data from a wide range of sources, continuously test against reality by performance in practical applications

Ontology2: Long Term Evolution

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PLAI - Acceleration Program for Generative A.I. Startups

Explore the core of Salesforce success in 'Salesforce Adoption – Metrics, Methods, and Motivation.' We will discuss essential metrics, effective methods to drive adoption, and the driving force behind user engagement and explore strategies for onboarding, training, and continuous support that empower users to navigate the platform seamlessly. By leveraging these tools, you can effectively measure adoption against your company’s goals and create an environment where users not only adopt Salesforce but actively contribute to its ongoing success.

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

Unlock the mysteries of successful Salesforce interviews in this insightful session hosted by Hugo Rosario (Salesforce Customer), a seasoned hiring manager that leads the Salesforce Department of multinational company with over 100 interviews under their belt. Step into the manager's chair and gain exclusive behind-the-scenes insights into what makes a Salesforce consultant stand out during the interview process. From deciphering the unspoken cues to mastering key strategies, we'll explore the intricacies of the interview process and provide practical tips for consultants looking to not only pass interviews but also thrive in their roles. Whether you're a seasoned professional or just starting your Salesforce journey, this session is your backstage pass to the secrets that hiring managers wish you knew.

Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...

Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...

Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...

You’ve heard good data matters in Machine Learning, but does it matter for Generative AI applications? Corporate data often differs significantly from the general Internet data used to train most foundation models. Join me for a demo on building an open source RAG (Retrieval Augmented Generation) stack using Milvus vector database for Retrieval, LangChain, Llama 3 with Ollama, Ragas RAG Eval, and optional Zilliz cloud, OpenAI.

Introduction to Open Source RAG and RAG Evaluation

Introduction to Open Source RAG and RAG Evaluation

Introduction to Open Source RAG and RAG Evaluation

We're living the AI revolution and Salesforce is adapting and bring new value to their customers. Einstein products are evolving rapidly and navigating their limitations, language support, and use cases can be challenging. Let's make review of what Einstein product are available currently, what are the capabilities and what can be used for in CEE region and how Rossie.ai can help to learn Salesforce speak Czech. We will explore the Einstein roadmap and I will make a short live demo (based on your vote) of some Einstein feature.

AI revolution and Salesforce, Jiří Karpíšek

AI revolution and Salesforce, Jiří Karpíšek

AI revolution and Salesforce, Jiří Karpíšek

Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to: Create a campaign using Mailchimp with merge tags/fields Send an interactive Slack channel message (using buttons) Have the message received by managers and peers along with a test email for review But there’s more: In a second workflow supporting the same use case, you’ll see: Your campaign sent to target colleagues for approval If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team But—if the “Reject” button is pushed, colleagues will be alerted via Slack message Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors. And... Speakers: Akshay Agnihotri, Product Manager Charlie Greenberg, Host

Connector Corner: Automate dynamic content and events by pushing a button

Connector Corner: Automate dynamic content and events by pushing a button

Connector Corner: Automate dynamic content and events by pushing a button

ODC, Data Fabric and Architecture User Group

ODC, Data Fabric and Architecture User Group

ODC, Data Fabric and Architecture User Group

CatarinaPereira64715

This presentation dives into the practical applications of machine learning within Google's operations, providing a comprehensive overview of how to leverage AI technologies to solve real-world business challenges. Key Points Covered: - Introduction to Machine Learning at Google: Discussion on the role of ML and its evolution in enhancing Google's operational efficiency. - Experience Sharing: Insights into the team's long-term engagement with machine learning projects and the impacts on Google’s operational strategies. - Practical Applications: Real-world examples of ML applications within Google’s daily operations, providing a blueprint to adapt similar strategies. - Challenges and Solutions: Discussion on the challenges faced during the implementation of ML projects and the strategic solutions employed to overcome them. - Future of ML at Google: Insights into future trends in machine learning at Google and how they plan to continue integrating AI into their ecosystem.

Strategic AI Integration in Engineering Teams

Strategic AI Integration in Engineering Teams

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IESVE for Early Stage Design and Planning

IESVE for Early Stage Design and Planning

IESVE for Early Stage Design and Planning

Already know how to write a basic SOQL query? Great! But what about an *aggregate* SOQL query? You know, the kind that uses aggregate functions like COUNT & MAX along with GROUP BY and HAVING clauses? No? Well, get ready to learn how to slice & dice your org’s data right inside your own dev console. From finding duplicate records to prototyping summary & matrix reports, learn the ins and outs of aggregate queries during this fast-paced but admin-friendly session on advanced SOQL concepts.

SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...

SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...

SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...

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AI presentation and introduction - Retrieval Augmented Generation RAG 101

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PLAI - Acceleration Program for Generative A.I. Startups

PLAI - Acceleration Program for Generative A.I. Startups

PLAI - Acceleration Program for Generative A.I. Startups

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...

Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...

Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...

Introduction to Open Source RAG and RAG Evaluation

Introduction to Open Source RAG and RAG Evaluation

Introduction to Open Source RAG and RAG Evaluation

AI revolution and Salesforce, Jiří Karpíšek

AI revolution and Salesforce, Jiří Karpíšek

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Connector Corner: Automate dynamic content and events by pushing a button

Connector Corner: Automate dynamic content and events by pushing a button

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AI presentation and introduction - Retrieval Augmented Generation RAG 101

AI presentation and introduction - Retrieval Augmented Generation RAG 101

Discover what exists with Ontology2

1. How it all started Photo Credit: Daniel Sparing The slides to this talk are licensed CC-BY-SA/3.0

2. Flickr kills the dream…

3. But Creative Commons Saves the Day

4. animalphotos.info

5. dbpedia & the semantic web Subject Predicate (Verb) Object <dbpedia:Albatross> <rdf:type> <dbpedia-owl:Bird> . http://dbpedia.org/ontology/Bird http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://dbpedia.org/resource/Albatross

6. the linked data cloud “Linking Open Data cloud diagram, by Richard Cyganiak and AnjaJentzsch. http://lod-cloud.net/”

7. automating the process search for candidates Identify topics filter correct images describe images dbpedia flickr

8. amazon mechanical turk

9. carpictures.cc

10. the business model

11. how many things exist? The game of 20 questions  220 = about a million…

12. what sort of things exist? “Everything on Earth:” Places, People, Creative Works, Life Forms, Technological Artifacts

13. ny-pictures.com

14. exploring the earth’s noösphere Noösphere, according to the thought of Vladimir Vernadsky and Teilhard de Chardin, denotes the "sphere of human thought".

15. ookaboo.com takes off

16. ookaboo semantic API http://en.wikipedia.org/wiki/Thailand API Thanks: Andyindia, Echiner1, Rene Eherhardt

17. Why don’t computers understand human language? The Ink is In The Pen The Pig is In The Pen Thanks: Seaniz, GiangHồThịHoàng, Claudia Scholz and

18. the human memome project One ring to bind them all?

19. Top-down? Bottom-up? Both! Merge data from a wide range of sources, continuously test against reality by performance in practical applications

20. Ontology2: Long Term Evolution