Name: KNIME Data Connect: Brussels
Start: 2024-05-28T06:30:00.000Z
End: 2024-05-28T14:30:00.000Z
Location: SPF Finances

Learn how to enrich data analytics with GenAI without writing a line of code.

During this event, we will explore a fraud detection use case and we will exploit the multi-language capabilities of GenAI to automatically generate custom alert messages.

During this hands-on workshop you will get familiar with the free low-code tool [KNIME Analytics Platform](https://www.knime.com/knime-analytics-platform), techniques for fraud detection, and the use of GenAI via the [KNIME AI Extension (Labs)](https://hub.knime.com/knime/extensions/org.knime.python.features.llm/latest/).

Completely new to KNIME? We’ve got you covered! We will start with an introduction to KNIME Analytics Platform, making it easy to follow along even for newbies!

Without any coding experience you will learn to:

* Detect frauds in investment contracts visually and using statistical techniques
* Prompt engineer an LLM via the OpenAI integration
* Create a vector store from a corpus of different types of investment contracts (the knowledge base)
* Build and deploy a data app to display email alerts and make it available to authenticated users on a web browser

Other KNIME AI integrations we will discuss include GPT4All, Hugging Face, Chroma, FAISS and more.

Please come prepared and bring your laptop with [KNIME Analytics Platform](https://www.knime.com/downloads) and the [KNIME AI Extension (Labs)](https://hub.knime.com/knime/extensions/org.knime.python.features.llm/latest/) already installed.
Please note if you want to join onsite, registration is mandatory.

**Agenda:**

**6:00 PM - Doors open, Welcome**

**6:10 PM - 6:40 PM : Introduction to KNIME, Demo of KNIME Analytics Platform and Q&A**

**6:40 PM - 7:10 PM : Introduction to fraud detection techniques, LLMs and the KNIME AI Extension (Labs) and Q&A**

**7:10 PM - 8:40 PM : Enrich Data Analytics for Fraud Detection with GenAI. We'll open KNIME on our laptops and build a KNIME workflow!**

**8:40 PM - 9:00 PM: Networking**

Meet the speakers:

**Roberto Cadili :** Roberto is a data scientist on the Evangelism team at KNIME. During his BSc. in Economics, he developed a genuine interest in statistics and data analysis. At the University of Konstanz, he pursued a MSc. in Social and Economic Data Science where he studied different machine learning algorithms and deep learning architectures with an emphasis on NLP and Computer Vision. As editor for Low Code for Data Science, he is helping the KNIME community shape successful data science stories, tutorials, and best practices that are worth sharing.

**Lada Rudnitckaia :** Lada is a Data Scientist on the Education team at KNIME and holds a master's degree in Data Science. She specialises in developing and teaching courses on data science and engineering with KNIME and is interested in explainable and responsible AI, machine learning models deployment, and data engineering.

***Onsite Address:***
***Second floor***
***1367 Connecticut Ave NW ste 200***
***1367 Connecticut Ave NW ste 200 · Washington, DC***

Washington, D.C. KNIME Users

Shantanu(KNIME)

Roberto Daniele Cadili

Sheeba Moghal

GenAI Learnathon: Enrich Data Analytics with GenAI - Onsite in Washington, DC

1367 Connecticut Ave NW ste 200

Join the first onsite edition of KNIME Data Connect in Muscat on May 1st, 2024.

Event Agenda:

8:15 AM -8:45 AM – Breakfast & Networking

8:45 AM - 9:00 AM – Welcome Note by Mr. Davis Kallukaran. Founding and Managing Partner, Crowe Oman

9:00 AM - 9:30 AM – Introduction to KNIME by Masoud Panshiri, Sales Director EMEA, KNIME

9:30 AM - 10:00 AM – Machine Learning for Governance, Risk and Compliance by Mr. Muzeebur Rahiman Shaik, Manager – GRC & Cyber Security, Crowe Oman

10.00 AM - 10:30 AM – Journey of Analytics by Mr. Srikanth K Kota, Head of Audit – Analytics & Digital Forensics Internal Audit, Bank Muscat, Oman

10.30AM - 11.00 AM - Coffee Break

11.00AM - 12.30PM - KNIME Analytics Platform - Practical Hands-on Training Session

12.30 PM - 01.30 PM - Lunch Break

1.30 PM - 03.30 PM - KNIME Analytics Platform - Practical Hands-on Training Session

3.30 PM - 4:00 PM - Q&A and Thanking Note by Mr. Paul Kallukaran, Sr. Manager, Technology, Crowe Oman

Oman KNIME Users

KNIME Event Coordinator

Srikanth Kota

Ahmed Raza

KNIME for Governance, Risk & Compliance / Data Connect: Muscat

Sheraton Oman Hotel

Let’s talk today about teaching data science with low code and especially with KNIME Analytics Platform.

Does the low code approach help in teaching data science? What is the student target for low code data science? Will low code for data science prepare the students better for their job of the future? Should low code be integrated with AI? Are there any tips and tricks that we can use in the classroom?

We invite you to hear that from the experts.

Agenda:

17:00 - “Welcome and a quick update on development of predictive models for home palliative care” by Alberto Montanari, Consultant, Fondazione ANT Italia ONLUS and Rita Ostan, Scientific Researcher Fondazione ANT Italia ONLUS

17:15 - "Marketing Analytics with Low Code" by prof. Francisco Villarroel, Associate Professor and Director of the MSc. in Marketing at LUISS Guido Carli University

In this presentation, Francisco will show his experience using KNIME Analytics Platform as an orchestration platform for teaching Marketing Analytics. Some of the topics that will be covered are data manipulation, machine learning, text mining, and computer vision. Through a variety of examples, Francisco will show how to use a low-code approach to handle marketing problems such as content marketing, brand reputation, and customer experience.

17:45 - "Teaching Data Science Using Low-Code Workflows - with the help and a touch of GenAI" prof. Michael Berthold, CEO at KNIME

18:15 - The first KNIME Distinguished Educator Award goes to …

18:30 - Networking & refreshments

Italy KNIME Users

sergio melis

Alfredo Roccato

Teaching Data Science with Low Code 

Fondazione ANT Italia Onlus

Learn how to enrich data analytics with GenAI without writing a line of code.

During this event, we will explore a fraud detection use case and we will exploit the multi-language capabilities of GenAI to automatically generate custom alert messages.

During this hands-on workshop you will get familiar with the free low-code tool [KNIME Analytics Platform](https://www.knime.com/knime-analytics-platform), techniques for fraud detection, and the use of GenAI via the [KNIME AI Extension (Labs)](https://hub.knime.com/knime/extensions/org.knime.python.features.llm/latest/).
Completely new to KNIME? We’ve got you covered! We will start with an introduction to KNIME Analytics Platform, making it easy to follow along even for newbies!

Without any coding experience you will learn to:

* Detect frauds in investment contracts visually and using statistical techniques
* Prompt engineer an LLM via the OpenAI integration
* Create a vector store from a corpus of different types of investment contracts (the knowledge base)
* Build and deploy a data app to display email alerts and make it available to authenticated users on a web browser

Other KNIME AI integrations we will discuss include GPT4All, Hugging Face, Chroma, FAISS and more.
Please come prepared and bring your laptop with [KNIME Analytics Platform](https://www.knime.com/downloads) and the [KNIME AI Extension (Labs)](https://hub.knime.com/knime/extensions/org.knime.python.features.llm/latest/) already installed.

Please note if you want to join onsite, registration is mandatory.

Agenda:

6:00 PM - Doors open, Welcome

6:10 PM - 6:40 PM : Introduction to KNIME, Demo of KNIME Analytics Platform and Q&A

6:40 PM - 7:10 PM : Introduction to fraud detection techniques, LLMs and the KNIME AI Extension (Labs) and Q&A

7:10 PM - 8:30 PM : Enrich Data Analytics for Fraud Detection with GenAI. We'll open KNIME on our laptops and build a KNIME workflow!

8:30 PM - 9:00 PM : Networking and refreshments

**Paras Gupta is the founder and CEO, Day5 Analytics,** a data company that accelerates clients to their full analytical potential by understanding the intricacies of their businesses, creating solid data foundations and processes, and providing custom solutions. With over a decade of experience in B2C and B2B spanning three continents, he has experienced enterprise data and analytics at all stages of data maturity. He is passionate about helping companies understand and leverage the existing data opportunity to drive their business growth. As a lifelong learner, he is keen to empower his clients with data knowledge, self-sufficiency, and automation – changing the way they do business.

**Scott Fincher (Data Science Community Manager, KNIME) -** As an experienced Data Scientist, Scott Fincher routinely teaches, presents, and leads group workshops covering topics such as the KNIME Analytics Platform, Machine Learning, and the broad Data Science umbrella. He enjoys assisting other data scientists with general best practices and model optimization. For Scott, this is not just an academic exercise. Prior to his work at KNIME, he worked for almost 20 years as an environmental consultant, with a focus on numerical modeling of atmospheric pollutants. Scott holds an MS in Statistics and a BS in Meteorology, both from Texas A&M University.

KNIME Toronto Users

Scott Fincher

Avinash Sharma

Enrich Data Analytics with GenAI | KNIME Data Connect: Toronto (Onsite)

The Professional Centre

This event is a collaborative effort with FPS Finance, specifically organized by the Directorate: FPS Finance - Special Tax Inspectorate - Fifth Directorate.

Please note that while KNIME is partnering with FPS Finance, this invitation is extended solely by the Directorate FPS Finance.Scheduled for May 28th, 2024 (Tuesday) from 09:30 to 10:45, the event will commence with a reception from 08:30 to 09:15, allowing for a warm welcome and coffee.

The day's agenda begins with various presentations, featuring presentations from FPS Finance, the European Commission, and KNIME.

Detailed information about the presenters can be found further below. Following the Data Connect session, we will proceed with two training sessions:

* *KNIME for Data Analytics*
* *KNIME for Advanced Techniques and Text Processing*

**It's important to note that this event is exclusively intended for public and governmental agencies, as per FPS Finance's directive.**

Agenda:

08:30 - 09:15 - Reception

09:30 - 10:45 - Presentations

11:00 - 16:30 - Two KNIME Training Session

* KNIME for Advanced Analytics
* KNIME for Advanced Techniques and Text Processing

Meet the speakers:

**Pieter Vercruysse -** Pieter is the head of the e-audit team at FPS Finance. Their unit provides support to tax inspectors in their fight against fiscal fraud, they collect and analyze tax-relevant data and try to use the most effective methods and tools.

**Pascal Beaujeant -** Pascal is an e-auditor and, among other things, specializes in KNIME, text mining and the use of regular expressions.

**Maria Claudia Bodino -** Team Leader - Digital Innovation Policy, European Commission

**Masoud Panshiri -** Masoud is a Sales Director at KNIME who is responsible for operations for the Customer Care Team consisting of Associate Account Managers, Account Executives, Solution Engineers, and Customer Success Managers.

The address of the event is below:

**In Dutch: North Galaxy, Koning Albert II-laan 33, 1030 Brussel**
**In French: North Galaxy, Boulevard du Roi Albert II 33, 1030 Bruxelles**

Brussels KNIME Users Group

KNIME Data Connect: Brussels 

SPF Finances

KNIME

Search {networkName}

Groups

{PRO_NETWORK_NAME} is on Meetup Pro with more than {PRO_MEMBER_COUNT} members across {PRO_GROUP_COUNT} Meetups worldwide. Meetup Pro is the professional tool for organizing and communicating a network of users, partners, contributors and members.

KNIME Software bridges the worlds of dashboards and advanced analytics through an intuitive interface, appropriate for anybody working with data. It empowers more business experts to be self-sufficient and more data experts to push the business to the bleeding edge of modern data science, integrating the latest AI and Machine Learning techniques. KNIME is distinct in its open approach, which ensures easy adoption and future-proof access to new technologies.

Free self-paced course to learn KNIME online.

KNIME

KNIME

Who we are

Sponsors

KNIME

Search KNIME

Upcoming events

Groups