BFC EU 2019 is back this year looking at the latest developments of DLT in financial services and exploring how these are transforming business processes from trade finance, digital identity, capital markets, tokenisation & more. Now that we’re cutting Read More
7:00pm – 7:30pm – ODSC Intro, Networking
7:30pm – 8:20pm – Talk
8:20pm – 8:30pm – Q&A
8:30pm – 9:00pm – Networking, Pizza & Refreshments
The usage of Machine Learning in finance has a wide range of applications. Banks and financial institutions are trying to understand the impact of these technologies and algorithms on their structure and processes. Regulation and markets are giving space for new companies that can bring disruption and offer new products and user experiences to costumers applying new technologies and approaches.
In this talk, it will be presented an application of data science in banking and finance and a use case of advanced analytics and machine learning applied to Credit Risk. the focus will be: catch the behaviour of clients.
By attending this workshop you will learn:
Intel® computer vision technology
To accelerate computer vision applications
Performance optimization techniques with hardware acceleration
9:30 – 10:00 A Brief Introduction to Deep Learning & Model Training
10:00 – 10:30 Introduction to Intel® OpenVINO™
10:45 – 11:30 Hands-on Lab 1
11:30 – 12:30 End to End Video Analytics, Advanced Features & OpenVINO™ FPGA
13:30 – 14:00 Partner Presentation
14:00 – 15:00 Hands-on Lab 2
15:15 – 15:45 Intel® Media SDK
15:45 – 16:30 CSP Cloud Connector Integration
Durante lo Startupitalia Open Summit abbiamo ascoltato il keynote di Marco Argenti, Vice President IoT, Serverless, Mobile, AR/VR Amazonwebservices , AI for the real world. Vi proponiamo un Sum-up: I 3 PRINCIPALI LAYER DEL MACHINE LEARNING [Reading Time:40 Sec]
A SIOS18 Marco Argenti ha introdotto il pubblico ai principali layer del Machine Learning: ML framework, ML services e sopratutto A.I services, quest’ultimi sono servizi di alto livello per funzioni e compiti specifici, che possono riguardare l’analisi del sentiment, previsioni finanziarie, gestione rimanenze in magazzino, ma anche analisi medico-sanitarie.