Upcoming talks and demos:

Jupyter Con - New York 23-25 Aug









View Natalino Busa's profile on LinkedIn





Principal Data Scientist, Director for Data Science, AI, Big Data Technologies. O’Reilly author on distributed computing and machine learning.



Natalino leads the definition, design and implementation of data-driven financial and telecom applications. He has previously served as Enterprise Data Architect at ING in the Netherlands, focusing on fraud prevention/detection, SoC, cybersecurity, customer experience, and core banking processes.


​Prior to that, he had worked as senior researcher at Philips Research Laboratories in the Netherlands, on the topics of system-on-a-chip architectures, distributed computing and compilers. All-round Technology Manager, Product Developer, and Innovator with 15+ years track record in research, development and management of distributed architectures, scalable services and data-driven applications.

Talks and Conferences


Talks, Conferences and Workshops

2017
Webinars:
https://www.brighttalk.com/webcast/5418/244487
Panel Discussion - AI & Machine Learning in Cyber Security

A live online panel discussion focused on the debate around AI and machine learning and how they can automate cyber security; catch more threats and malicious attacks and prove a useful weapon against cyber crime.

Panelists:
- Josh Downs, Community Manager - Information Security, BrightTALK (moderator)
- John Laliberte, VP, Endpoint and ICE, FireEye
- Natalino Busa, Head of Applied Data, TeraData
- Neil Gernon, MD, Atrovate & Founder, Dublin.AI


https://www.brighttalk.com/webcast/9059/240105
Data Science Apps: Beyond Notebooks with Apache Toree, Spark and Jupyter Gateway

Jupyter notebooks are transforming the way we look at computing, coding and problem solving. But is this the only “data scientist experience” that this technology can provide?

In this webinar, Natalino will sketch how you could use Jupyter to create interactive and compelling data science web applications and provide new ways of data exploration and analysis. In the background, these apps are still powered by well understood and documented Jupyter notebooks.

They will present an architecture which is composed of four parts: a jupyter server-only gateway, a Scala/Spark Jupyter kernel, a Spark cluster and a angular/bootstrap web application.


https://www.brighttalk.com/webcast/9293/234885
AI in Finance: AI in regulatory compliance, risk management, and auditing

AI to Improve Regulatory Compliance, Governance & Auditing. How AI identifies and prevents risks, above and beyond traditional methods. Techniques and analytics that protect customers and firms from cyber-attacks and fraud. Using AI to quickly and efficiently provide evidence for auditing requests.

Learn:
Machine learning and cognitive computing for:
-Regulatory Compliance
-Process and Financial Audit
-Data Management

Recommendations:
-Data computing systems
-Tools and skills


Talks:

http://globalbigdataconference.com/santa-clara/global-artificial-intelligence-conference-83/speaker-details/natalino-busa-41434.html
Global Artificial Intelligence Conference
Santa Clara, CA, USA


AI for Financial Applications
Abstract :
We all love AI. But what about financial applications? It turns out that AI, and in particular ML and DL can be very effectively applied to financial services. In this presentation, Natalino will illustrate a number of use cases such as transaction fraud prevention and credit authorization using AI and machine learning techniques. Starting from there, Natalino will show how those problems can be solved with AI techniques with code snippets and live demos using Keras, Tensorflow and Scikit-Learn applied to some financial datasets. Natalino will take you on this AI for finance journey, describing how techniques such as deep learning, t-sne, dimensionality reduction can be used as the "data engines" for the next-gen financial applications both in retail as well as commercial banking.

http://berryprofessionals.com/natalino-busa/
PREDICTIVE BUSINESS ANALYTICS & DATA MANAGEMENT FORUM
MILAN ITALY


Are we reaching a Data Science Singularity?
How Cognitive Computing is emerging from Machine Learning Algorithms, Big Data Tools, and Cloud Services

Prescriptive analytics is the ultimate analytical step which goes beyond predictions into the realm of goal-oriented recommendations. As such, we could consider prescriptive analytics as a particular sort of cognitive computing. In 2016, how far are we from cognitive computing actually? Will Cognitive Computing emerge from Machine Learning Algorithms, Big Data Tools, and Cloud Services?

http://2017.datadriveninnovation.org/speaker/2828/
DATA DRIVEN INNOVATION
Rome 2017 Open Summit
Data Science Apps: Beyond Notebooks

Jupyter notebooks are transforming the way we look at computing, coding and problem solving. But is this the only “data scientist experience” that this technology can provide? In this talk, Natalino will sketch how you could use Jupyter to create interactive and compelling data science web applications and provide new ways of data exploration and analysis. In the background, these apps are still powered by well understood and documented Jupyter notebooks.


Tutorials

https://www.safaribooksonline.com/oriole/Geolocated clustering and prediction services with scikit-learn
Oriole Online Tutorial by Natalino Busa

https://www.safaribooksonline.com/live-training/courses/geo-located-data-extracting-patterns-from-mobile-data-using-scikit-learn-and-cassandra/0636920062349/
Geo-Located Data: Extracting Patterns from Mobile Data Using Scikit-Learn and Cassandra
Join Natalino Busa for an introduction to extracting patterns from geo-located data and building geo-located microservices.



Software built:

jupyterhub-ansible-deploy
https://github.com/natbusa/jupyterhub-ansible-deploy
Provisioning a datalab with jupyterhub and tons of data science libraries for Python, R, and Scala


ansible-role-centos-jupyterhub

https://github.com/natbusa/ansible-role-centos-jupyterhubJupyterhub on CentOS 7, configurable spawner (sudo, docker), jupyter lab support


On slideshare:
https://www.slideshare.net/natalinobusa/data-science-apps-beyond-notebooks
https://www.slideshare.net/natalinobusa/ai-in-finance-from-hype-to-marketing-and-cybersecurity-use-cases-3


On the web:Q&A with Data Scientists: Natalino Busa
http://www.odbms.org/2017/02/qa-with-data-scientists-natalino-busa/


Streaming Analytics for Chain Monitoring
http://www.odbms.org/2017/01/streaming-analytics-for-chain-monitoring/


2015

API days, 4-5 May, Berlin

Towards Real-Time banking API's:
Introducing Coral, a web api for realtime streaming computing





Digital Web Analytics Summit, 14-15 May, London

The Evolution of Data Analytics




Scala Meetup, 16 April, Amsterdam

Coral: An Web API for Resiliant and Distributed Streaming Computing




Cassandra Meetup, 20 May, Amsterdam

Streaming analytics with Spark and Cassandra





2014

endpoint, 5 september Amsterdam

Streaming Api Design with Akka, Scala and Spray




Emerce Conversion 10 April, Amsterdam

Big and fast a quest for relevant and real-time analytics


Workshop Big Data, 11 April, Amsterdam

Yo. big data. understanding data science in the era of big data


API days, 4-5 May, Berlin

Awesome Banking API's


Predictive Analytics Innovation Summit, 14-15 May, London

Big data solutions for advanced marketing analytics


Developers Day, 28 May, Utrecht

Hadoop + Cassandra: Fast queries on data lakes, and wikipedia search tutorial


Videos: