India Analytics and Big data summit 2016 is coming to Bangalore for two days - Feb 04th to Feb 05th, 2016. Last year more than 300 people attended the event, allowing excellent networking on top of intensive classes, case studies, demos and workshops that were offered. Previous iterations of India Analytics and Big data summit have allowed us to select and bring back only the finest speakers and top scoring classes to make sure that your Analytics & Big Data conference is unparalleled.
Is Big Data just a hype?
That's a question that crosses the mind of many people. The reason being that the real measure of any technology is the business outcomes it can have. In that context, many organisations start on the journey of Big Data but really hit the stumbling block in the business outcomes it can have.
A lot of it to do with having the right data architectures, right use cases and the right kind of user mapping to the different layers of the data architecture. If done correctly, Big Data ceases to be a hype and starts delivering real business outcomes.
Vivek Ratna has over 16 years of experience in IT and telecom industry, bulk of which has been spent in HPE. Prior to the current role in HPE, he was the Enterprise Account Manager handling few of the largest corporates in India in the telecom space. Prior to HPE, he worked in Reliance Communications as part of their national strategy team and also in Wipro and HCL Infosystems.
Vivek has an engineering degree from from IIT, Kharagpur
Transformation journeys , using digital technologies, often targets quantum leaps in customer experience/ operational efficiency/business models. However, increased data firepower does not necessarily translate to disruptive insights or radical impacts on growth or differentiation. This talk focuses on typical data value leakages encountered, how & what are the strategic interventions required, the differing nature of risks and mitigations required......with Industry examples of Oil & Gas, Retail and Major Service sector firms spanning the Data-to-Insights gaps for realizing transformation value.Speaker Profile
Ajit Paul brings a unique mix of business technology consulting and implementation experience of 25 yrs, working with CXOs in India and global for Digital Transformation initiatives. These have been in the domains of Banking, Financial Services, Telecom and Retail sectors. He has been the recipient of the International Aegis Graham Bell award for innovation in Cloud Services, Panel member with World Economic Forum, Indian Army and State Bank of India. Academically, he is an Electronics Engineer with Advanced Management qualifications from MIT Sloan.
Currently, Ajit is associated with Digital Transformation of IIM Bangalore's Marketing initiatives, and enables scaling up of Start-ups as Stanford Digital Advisor to Developing Economies
Big data environments require clusters of servers to support the tools that process the large volumes, high velocity, and varied formats of big data. IT organizations are increasingly looking to cloud computing as the structure to support their big data projects. While enterprises often keep their most sensitive data in-house, huge volumes of data such as social media data may be located externally. Analyzing the data where it resides—either in internal or public clouds—makes big data in the cloud more appealing in terms of cost and gaining faster insights. This session discusses various options for Big data on Cloud.Speaker Profile
Satyendra Pasalapudi is an Oracle ACE Director & MBA graduate with 16+ years of diversified international experience in the IT industry that spans across multiple continents. He is an accomplished database professional, author, and speaker with right blend of business and technology skills. Pasalapudi has bootstrapped various Strategic Business Units in his career and is currently working as a Assoc Practice Director at Apps Associates Pvt Ltd heading their Infrastructure Managed Services ,Cloud and Big data practice at GDC and has worked with APTS, Pointsoft, Kenexa, DELL and Megasoft in his earlier assignments. Pasalapudi is the Co-Founder and President of the All India Oracle Users Group (AIOUG) and is a frequent speaker at the Oracle Open World, AIOUG Sangam , IOUG Collaborate and other conferences.
Today whole economy is changing into Digital economy and disrupting all the respective markets and industries. Businesses are shifting from selling physical things to digital things.
Just to take an example of Music industry – in old days we had to go to store to buy LP records, then came cassettes and CDs which were then disrupted due to introduction of MP3 format in 1990s. Later came IPod/IPhone and people could carry their music with them. Spotify further changed this to streaming music, so now you don’t have to download music at all. The song collection on Spotify is so large that you will need a lifetime to listen to all of them. That is where Spotify started using machine learning, to identify and predict what a person would like to listen next.
The main driver for this change was “Customer behavior”. With flexibility of anytime, anywhere any information, customers became more aware of the products than manufacturers. Companies need to understand this and recognize the trends, to predict customer behavior.
Many organizations today have undertaken adhoc analytics projects. Some even have dedicated teams conducting ongoing manual analytics processes. Chances are, these analytic projects are discovering previously unknown and valuable insights about the organization and its business. However, a great number of CxOs of these organizations are struggling to see the impact on organisational outcomes from these analytic projects on a broad scale
This chasm between analytic insight and business impact is driven, less by the quality of the analytic methods and more by the business ecosystem, culture change and sub-optimal processes which surround and support integration of insights into business operations and applications. It is no longer enough to produce robust analytics.
Organizations who want to see measurable business results from analytics must focus on embedding analytic processes into the day-to-day work and enabling proactive analytic driven decision making … fast, automated, and operational.
Rags is Senior Director at Hewlett Packard Enterprise’s Analytics Data Labs. He has about 20 years of strong operating and commercial leadership experience in global business services, including in analytics and technology. In the last 8 years, Rags has run large analytics operations for clients in consumer industries and in solutioning analytics deals in the UK/EMEA markets for CPG and Private Equity clients. His passion is to partner with CXOs on their strategic initiatives and adding value through combination of analytics, business process solutions and change management tools.
Rags is an alumnus of Indian Institute of Management ( Bangalore) and of Indian Institute of Technology ( Delhi)
The presentation will focus on how big data analytics is helping clients unlock actionable insights. It will provide an overview of some of the challenges faced, the choices we have made and technologies we have built and used. It will also focus on the need for building a data science team and integration of their outputs into day to day business operations. The intention of this session is to share Media iQ's experience in the analytics and programmatic advertising space, and thereby provide insightful takeaways for any company embarking on a journey in analytics.Speaker Profile
Prabhu is the Chief Technology officer at Media iQ Digital, a technology and analytics company that inspires clients through actionable insights. He oversees the engineering and analytics functions in the company, and is responsible for overall design and architecture of Media iQ's proprietary platforms and products. He has helped build the engineering and Data science/R&D teams from ground up at Media iQ's Bangalore office, and these teams have built various technology and analytics products that now drive Media iQ's programmatic media and enterprise business operation. He has also been instrumental in scaling the business globally.
In this talk we will solve the big problem of real-time analytics on the data collected by millions of devices/ sensors. Using Azure stream analytics we can instantly start analyzing the stream data coming from millions of devices and get meaningful insights using a Power BI Dashboard.Speaker Profile
Not very long ago, enterprise applications meant expensive software packages and demanding hardware to run the same. There were huge upfront investment required with little leeway to enhance performance on demand or cut-down the same should there be over-capacity. With new developments in open source parallel programming and cloud infrastructure, this scenario is rapidly changing.Speaker Profile
Anand Tamariya is a Solutions Architect with focus on eCommerce. He has over thirteen years of experience in designing, developing and maintenance of J2EE application in various domains.
Anand designs multi-channel e-Commerce applications which may run on multiple platforms and be composed of multiple software packages. He is responsible for performance, availability and scalability of critical buisness applications.
"Was an excellent event!"
"We are truly committed to UNICOM events and have seen a great return from the events we have been involved with this year. The real value for us here is having the opportunity to present and talk to the delegates during the breaks."
"Well done – an excellent event! We were very happy with the number and quality of delegates"
"Good format! Good focus and quality of delegates"
Software Olympiad is an initiative of and UNICOM to run India's most prestigious Corporate Quiz on Software. Software Olympiad 2016 will be run by IBM and UNICOM.
IABD 2016 is open to anyone who has an interest in Analytics and Big Data and works in the technology/telecoms industry or any related field.
Yes, all conference attendees must register in advance to attend the event.
As this is predominantly an event for the Big Data Industry, if you are interested in attending. Please note that there will be a charge to attend as a student(can avail special discount as a student).
Yes you can, please contact firstname.lastname@example.org with what you would like to be changed and we can assist.
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"Confirm your CANCELLATION in writing up to 15 working days before the event and receive a refund less a 10% service charge. Regrettably, no refunds can be made for cancellations received less than 15 working days prior to the event.
However, SUBSTITUTIONS are welcome at any time and is done at no extra cost. The organisers reserve the right to amend the programme if necessary.
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