PRPASS Meeting – Oct 2015 – Cortana Analitycs Suite and Azure Machine Learning

| 2015-10-18 | 0 Comments

Come and join your Puerto Rico PASS user group to connect, share and learn about SQL Server. 

WHEN:
Thursday, Oct 22, 2015

WHERE:
Microsoft Puerto Rico (Click here for a map)
City View Plaza II Suite 107
State Road 165 Km 1.2
Guaynabo, PR  009

TOPICS:

Cortana Analytics Suite

Most organizations today have access to more than enough data to help improve their operations — the challenge is sifting through and analyzing all that data to find hidden insights so they can make better decisions about the future. Join Microsoft’s, Ramon Ponte, to explore how Microsoft is bringing together a comprehensive set of cloud services including Azure HDInsight, Azure Machine Learning, Power BI and more to provide perceptual intelligence capabilities to enterprise customers through the Cortana Analytics Suite.

Speaker: Ramon Ponte

Microsoft | Platform Solution Specialist

Ramon Ponte has over 16 years of experience delivering enterprise architecture and advisory services to medium and large size organizations in Puerto Rico, the Caribbean and Central America. Industries of expertise include government, education, financial services, insurance, and the telecommunication sector. Ramon’s area of specialization is Enterprise Application Platforms. This includes SOA, BI, BPM, ALM, Data Management and Enterprise Architecture.

Azure Machine Learning

Machine learning (ML) is a subfield of computer science stemming from research into artificial intelligence. It has strong ties to statistics and mathematical optimization, which deliver methods, theory and application domains to the field. ML is employed in a range of computing tasks where designing and programming explicit, rule-based algorithms is infeasible. Example applications include spam filtering, optical character recognition (OCR), search engines and computer vision. ML converts data sets into pieces of software, known as “models,” that can represent the data set and generalize to make predictions on new data. Because ML is so broadly used, I find it useful to put ML applications into a rough taxonomy.

Join this seminar to learn the fundamentals, business problems it solves and how to get started using Azure Machine Learning, a fully-managed cloud service – now part of the new Cortana Analytics Suite – that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations benefit from massive data sets. To put some concepts into practice, we will use Machine Learning Studio, a tool that gives you an interactive, visual workspace to easily build, test, and iterate on a predictive analysis model. You drag-and-drop datasets and analysis modules onto an interactive canvas, connecting them together to form an experiment, which you run in Machine Learning Studio. To iterate on your model design, you edit the experiment, save a copy if desired, and run it again. When you’re ready, you can publish your experiment as a web service so that your model can be accessed by others.

Speaker: Alan Koo

Senior Consultant – Nagnoi, LLC | MVP

Alan Koo is a former Microsoft MVP with over 11 years of technical experience architecting and developing solutions oriented to increase businesses performance in both public and private sectors. Alan joined Nagnoi, Inc. in 2005 as the lead technical architect for the Performance Management & Business Intelligence Practice and in 2007 became Nagnoi’s first Senior Consultant. Alan is the co-founder and current President of PRPASS and maintains his “Microsoft Business Intelligence y mas…” blog.

 

Category: PRPASS Meeting

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