Data Science is quickly evolving, and it may seem hard to keep up with it.
You can read whitepapers, blogs, and attend webinars, or you can choose to get in touch and discuss with experienced Data Scientist.
BitBang, specialized in Digital Intelligence, Data Science, and Big Data, with this meeting gives you the opportunity to meet in person Data Scientists working on a daily basis on success business cases.
Come and measure yourself against their experience.
|18:30||"Introduction to KNIME" - Knime|
"Automate Trouble Ticketing Management via Machine Learning with NLP" – BitBang
Manual assignment of tickets to the work group generates considerable time and cost inefficiencies.Read more
Our machine learning model automatically recommends the most effective team for resolving each ticket. In fact, identifying the correct assignment pattern results in fewer errors and lower ticket reassignment frequency.
During the presentation we shall see how the possibility of integrating and processing various types of data, both ordinal and categorical data, as well as geolocalized and unstructured (call center) data, has allowed extracting significant information contents that help identify groups of similar tickets.
The outcome of the model has identified the best ticket-resolving team in 85% of the cases.
"Will they blend? - Experiences in Data Blending" – Knime
Data integration or, as it is called nowadays, Data Blending is a key process to enrich the dataset and augment its dimensionality. Since more data often means better models, it is easy to see how data blending has become such an important part of data science. Data blending is an integration process and, like all integration processes, its problem is the diversity of the players involved. So bring on the players!Read more
SQL and noSQL databases, REST API, Google Services, XML and JSON structured data, omnipresent Excel and text files, word and epub documents, Social Media channels, legacy data sets, R and Python scripts, images, numbers and text, Hive and Spark, cloud based repositories, and many more! KNIME Analytics Platform can access and blend all of them!
We have tried that and documented our experiences in the “Will they blend?” post series on the KNIME blog. I will describe some of these projects in my presentation.
|19:30||Q&A, in-depth discussion, aperitif & networking|