Microsoft has gotten into a great course correction since Satya Nadella took over as the CEO. In its effort to transform itself into a platform company per the vision of the new CEO, Microsoft has been truly taking some critical steps in the Big Data analytics space. Since the launch of its Azure Machine Learning platform, Microsoft has been quietly focussing on building the foundational blocks and consolidating the Azure MLs adoption. It’s easy drag, drop and predict approach on a cloud based Machine Learning platform has won a solid following. It has also been helping developers to jump start Machine Learning through its Microsoft Virtual Academy led courses such as :
Microsoft has also recently made a couple of rather significant acquisitions to bolster its case further. It’s acquisition of Equivio, a Text Analysis / Machine Learning based eDiscovery / compliance vendor whose main product is Zoom, a court approved machine learning platform. The deal is stated to be around $200 Million. Microsoft is reportedly planning to utilize Equivio’s machine learning technology to further improve its Office 365’s eDiscovery and information governance capabilities. It would help quickly search and find relevant information from the unstructured data present in documents.
Yet another recent acquisition had been Revolution Analytics – a commercial software and services provider for R, the world’s most widely used programming language for statistical computing and predictive analytics. It has also extended its support for open source communities by adopting Linux and also partnered with Hortonworks, a open source Hadoop distribution vendor to extend Big Data to the enterprise through its Azure HDInsight Big Data platform offering. Microsoft had also open sourced its REEF to provide a big data analytics framework for YARN.
Microsoft is also facing off with IBM Watson through its ease of use Machine Learning approach. It’s attacking IBM Watson’s biggest issue – the steep learning curve by providing an easy to use and adapt data model / APIs. In its recent post, ZDNet reports that Microsoft’s goal for Azure Machine Learning is to develop data models that can be plugged directly into apps that will take that data, analyze and query it, and turn it into information that will be greater than the sum of its parts for a user. Point in case its prebuilt data model for Microsoft Band which is its first fitness device. The device monitored data is used for measuring, analyzing the health parameters. It functions as a hub for data analysis of all the data collected through the device monitor.
Interesting times ahead for Microsoft since it seems to have placed its bets big on Analytics, Big Data, Cloud & Machine Learning in a big way.
We are happy to inform you a TDWI India Chapter event on “Business Intelligence in the Cloud” at Intel Campus, opp. Leela Palace, Old Airport Road, Bangalore on February 5th (Saturday) 2011. It is a day long event between 9:30 am – 5:30 pm. The seats are limited to 200. Preregistration is MANDATORY. This event is being hosted by Intel including Lunch, Coffee and snacks.
Cloud computing changes the way computing resources are delivered. It is disruptive as well as transformational. We will discuss and deliberate potential benefits and challenges of BI in external, virtual computing architectures, the future of cloud for BI, its applicability and availability of technology at present.
We have the following topics and speakers:
- Welcome/Inaugural Address – Narendra Vaze, Country Manager, Intel IT
- Visionary Keynote – Susheela Venkataraman, Managing Director, Internet Business Solutions, Cisco*
- Intel IT Cloud Story – Aravind Doss, Head, Cloud Computing, Intel IT
- What is BI on the Cloud? – Hari Devarapalli, Head, BI/PM Service Technology Office, TCS
- Cloud Computing for BI/DW – Rohit Chattar, Architect, Yahoo
- DW Infrastructure for Cloud -Praveen Hebbagodi, Director, Akamai Technologies
- Cloud BI Case Study – Mukesh K L, Chief Operating Officer, TATA Sky
- Perspectives: Transformational impact of Cloud on DW/BI
- Rajesh Shenoy, BI Head, Intel
- Nat Malupillai, BI Head, Target
- Raghuram Mutya, Lead, BI CoE, Dell Services
- Arup Dastigar, Senior Vice President, Citibank
- Moderated by Vijay Ramachandran, Chief Editor (CIO, Computerworld)
- Building BI Solution on Cloud- Mr. Satyanarayana Ranganatha, Head, DW Appliances, EMC
- Advanced Analytics on the cloud – Mr. Arindam Bhattacharjee, Chief Architect, SAP Analytics.
As you are aware, our chapters are meant for knowledge sharing and are sales pitch free, vendor neutral, unbiased and always FREE. Here is the Pre-registration link for your quick reference :
We will get back to you with confirmation and directions to the venue, security details ONLY after the pre-registration.
Drop a mail to tdwi.india at gmail dot com for any clarifications.
There is a great deal of confusion over the definition of cloud computing and its benefits to organizations. Many analysts even feel that it has yet to live up to the hype. However, few argue about the cloud’s potential to change the way computing resources are delivered. We not only discuss the different definitions of the cloud but also the potential benefits and challenges of architecting BI solutions in external, virtual computing architectures. We will also share lessons learned and the best practices and pitfalls of BI in the cloud.
Date: Thursday, November 18th 2010
Time: 1:30 – 5:30 pm (IST)
Venue: Microsoft Campus, Gachibowli, Hyderabad
Who should attend?
- Innovators, leaders, enterprise architects, technology managers, application developers and data modelers
- BI Practitioners and/or those who work on or manage existing BI programs, Technologists; BI developers
- Any one with interest in Cloud Computing
Inaugural Address – Sreenivas Simhadri, General Manager, Microsoft (IT)
Keynote : Cloud – Microsoft IT Story Raj Biyani, General Manager, Microsoft (IT)
What is a Cloud? – Prabhakar Kasu, Founder-CEO, Ortus Consulting
Conventional vs. Cloud BI – Ramesh Loganathan, MD, Progress Software
Building BI Solutions in the cloud – Ramesh Kumar Koona, Asst Vice President
Cloud BI Case Study – Bhavin Jayantilal Raichura, Technology Architect, Amiteshwar Dayal Seth, Delivery Manager, Infosys
Closing Address – Subbu Venkatraman, VP, Software Engineering, Computer Associates
Registration are mandatory to attend the event. Register for this event through:
This event for FREE for all Professionals. You may get additional details in tdwi-india.blogspot.com
For clarifications, e-mail: firstname.lastname@example.org