Microsoft Cloud Workshop

Keyrus and Microsoft would like to invite you to a workshop taking place at The Shard, Shangri-La Hotel on 23rd February.

This workshop is focused on how SMEs in Financial Services can utilise the advantages in cloud technology through Cortana Intelligence (part of Microsoft Azure Intelligent Cloud).

Presentation agenda

9.00 - 10.00am: Storage - Hear how to utilise flexible low-cost storage in the cloud for both structured and unstructured big data.
10.00 - 11.00am: Integration - Learn how to compose and orchestrate data services, scaling up and down at ease.
11.00am - 12.00pm: Analytics - Learn how HD Insights can accelerate big data discoveries, empowering organizations to effectively perform advanced, predictive and prescriptive analytics.
12.00pm - 1.00pm: Intelligence - Join us to hear how the Intelligent cloud enables rapid actionable insights through Power BI and advanced, machine learning technology.

Join us either for the full workshop or an individual presentation that sparks your interest.

This event also affords the opportunity to network with like-minded individuals from across the industry over a free breakfast and lunch.

Storage - How you can utilise flexible low-cost storage in the cloud for structured, unstructured and Big data and a strategy for integrating your traditional Data Warehouse with other data sources and the advantages of Platform as a Service, Data Platform

Including a Hybrid approach and the regulatory and compliance implications of hosting your data in a public cloud for companies in Financial Services with use cases

USE CASES: Storage of PII data and regulatory implications

USE CASES: Flexible Storage, scaling up and scaling down (only pay for what you use)

USE CASES: Automated Deployment (infrastructure as software)

USE CASES: How Azure encrypts your data at rest and in-flight as well, masks PII Data

USE CASES: Disaster Recovery, Local Redundancy and Geo-Redundancy

Integration - Covering Azure Data Factory SQL Database, Data Warehouse, PolyBase and Blob Storage

USE CASES: Showing Descriptive Dashboards integrating structured and unstructured data, for example weblogs and KPIs

USE CASES: Massively Parallel Processing showing queries against large datasets such as card transaction data / GL data

USE CASES: Insight from Social Media including sentiment analysis

Analytics - How Hadoop and Azure Data Lake integrate with the other

USE CASES: Using Hadoop and Data Lake Analytics to gain insight from unstructured data such as application data with minimal investment in time and effort

USE CASES: Create a 360 Customer view

Intelligence - Shine a light on your “dark data” using Machine Learning and Intelligent Cloud

USE CASES: Identify anomalies such as fraudulent data with Azure Machine Learning

USE CASES: Use analytics to profile customers by cluster or to identify possible churn and move from descriptive to predictive and prescriptive analytics