Big Data

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Wipro Open Sources Big Data Ready Enterprise

Big Data Ready Enterprise – Wipro

Wipro-Open-Sources-Big-Data-Ready-EnterpriseWipro today announced that it has open sourced its big data product, Big Data Ready Enterprise (BDRE).

BDRE makes big data technology adoption simpler and faster by optimizing big data workloads under an integrated unified framework.

The product addresses the complete lifecycle of managing data across enterprise data lakes, making it possible to ingest, organize, enrich, process, analyze, govern and extract data at a fast pace, significantly accelerating the big data implementation in a cost effective manner.

BDRE is in production with multiple clients and has over 100+ opportunities across numerous verticals. BDRE is released under the Apache Public License v2.0 and hosted on GitHub.

Herb Cunitz, president, Hortonworks said, “We are glad to hear that Wipro has open sourced its big data and analytics product BDRE and taken a stride in contributing to the open source community. This step will help us further strengthen our relationship and reinforces our belief in open source technology for the enterprise.”

“Wipro takes pride in being a significant contributor to the open source community, and the release of BDRE reinforces our commitment towards this ecosystem. BDRE will not only make big data technology adoption simpler and effective, it will also open opportunities across industry verticals that organizations can successfully leverage,” said Bhanumurthy BM, president & chief operating officer, Wipro.

“Being at the forefront of innovation in big data, we are able to guide organizations that seek to benefit from the strategic, financial, organizational and technological benefits of adopting open source technologies,” added Bhanumurthy.

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Big DataEnterprise

TCS Delivers Operational Analytics For Retail Banks


TCS-Delivers-Operational-Analytics-For-Retail-BanksTCS has announced the release of a new module on Customer Insights & Intelligence (CI&I) solution for retail banks.

The new software release features an operational analytics module that enables retail banks to understand in real-time how the product fulfillment process for consumer banking operations impacts multiple departmental touch points and provides recommendations on operational processes to better serve their customers.

By 2019, financial institutions worldwide will spend more than $310 billion on IT, with one-third of spending going to digital transformative technologies to address customers’ digital lifestyles.

“One compelling aspect of TCS’ go-to-market strategy is that its vision lays out three “maturity levels” from 360-degree Customer Insights to Customer-Centric Operations to Deeper Customer Engagement,” said Jerry Silva, global banking research director, IDC Financial Insights.

“These stages are not only immediately identifiable to any retail bank executive, but represent an increasing sophistication that the institution can attain through progressive implementations of an analytics solution, paving the way to digital transformation,” added Silva.

TCS’ Customer Intelligence & Insights Solution for retail banks provides a future-ready, scalable platform specifically designed for banking and financial services, and is built on open source software to support an all-data architecture.

Augmenting the earlier software release for customer analytics, the latest module introduces operational analytics to provide actionable insights across the banking process lifecycle, including ability to identify and eliminate process bottlenecks, reduce overhead costs and proactively detect impacted customers to recommend remedial actions with realtime alerts to customer facing departments.

“Banks must develop new ways of thinking to thrive in the digital age and anticipate and adapt to customers’ evolving preferences and patterns,” said Seeta Hariharan, general manager and group head of TCS’ Digital Software & Solutions group.

“Any enterprise, including banks, that is focused on owning the customer journey and providing a seamless experience beyond traditional boundaries of services, will win at delivering digital excellence and building long term customer trust and retention,” added Hariharan.

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Big DataEnterprise

TCS And Siemens Extend Partnership To Include Big Data Analytics


Siemens-And-TCS-Extend-Partnership-To-Include-Big-Data-AnalyticsTCS (Tata Consultancy Services) and Siemens are leveraging their longstanding partnership to expand and enhance the delivery of big data analytics to manufacturing industry.

Siemens’ product lifecycle management (PLM) software business will support TCS’ big data experts in the delivery and effective use of the Siemens Omneo Performance Analytics solution.

By leveraging Omneo big data analytics, which is provided as a cloud-based software as a service (SaaS) offering, manufacturers will have the potential to unearth product performance intelligence that will enable them to identify and resolve complex product issues in seconds instead of days.

Omneo creates a complete big-data picture of product performance by connecting, unifying and contextualizing big-data sources – such as PLM, enterprise resource planning (ERP), manufacturing execution systems (MES), quality management systems (QMS) and customer relationship management (CRM) – into one easily accessible hub.

“Through its ability to analyze massive data combinations in seconds, our Omneo solution can help our customers reveal the hidden intelligence that pinpoints the source of product issues,” said Tony Hemmelgarn, executive vice president, Sales, Marketing and Service Delivery, Siemens PLM Software.

“Combining the power of this cloud-based solution and our PLM expertise with the world-class IT services, consulting, business, and big data expertise of TCS, we can help more manufacturers worldwide leverage big data to significantly improve product development efficiency and innovation,” added Hemmelgarn.

TCS’ experience on the Omneo platform will bring extensive domain and global technology experience that will accelerate the process of continuous platform engineering and enrichment. This collaboration will build statistical tools and industrial solution accelerators to simplify and automate the processes on product performance intelligence.

“The rise of digital technologies including Big Data and the Internet of Things are driving radical changes across the manufacturing sector,” said Regu Ayyaswamy, global head, Engineering and Industrial services, Tata Consultancy Services.

“Technologies like Siemens Omneo have the potential to revolutionize the manufacturing sector, giving businesses the ability to track and monitor product performance and then react accordingly,” added Ayyaswamy.

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Telenor Fights Dengue With Data Analytics

dengue fever

dengue-fever-research-telenorTelenor, the Norwegian telecom operator that is known for finding technology driven solutions for real life issues besides its core business, has taken another step in that direction by using big data to find remedial measures for Dengue outbreak.

The operator’s research unit, Telenor Research in conjunction with the Harvard T.H. Chan School of Public Health, Oxford University, the U.S. Center for Disease Control, and the University of Peshawar, has highlighted the power of mobile data to predict and track the spread of epidemic disease, in its latest study.

The study, “Impacts of human mobility on the emergence of dengue epidemics in Pakistan”, analysed the call data records from more than 30 million Telenor Pakistan subscribers during the 2013 dengue outbreak to accurately map the geographic spread and timing of the epidemic. The resulting model contributes to the design of more effective national response mechanisms in Pakistan and other at-risk nations, while demonstrating the potential for call records to accurately reveal mobility patterns that can help combat and predict the spread of virulent disease.

“Dengue is the fastest-spreading tropical disease in the world, with half the global population now living in at-risk regions including Asia, the Americas, and Africa,” notes co-author and Senior Data Scientist at Telenor Research, Dr. Kenth Engø-Monsen, who leads Telenor Research’s Data Driven Development initiative.

“At the same time, public health professionals, data scientists, and mobile operators working together wield important weapons to combat the spread of the disease, including using Big Data to stay a step ahead of an epidemic. In this case a very large mobile data set gave us a bird’s eye view of the human movement that drives transmission, and will help health authorities in at-risk areas put adequate countermeasures in place in anticipation of an outbreak. This is especially important as we see increasing transnational movement of people and the consequent global spread of dengue,” he adds.

The research team found that mobile phone-based mobility estimates accurately predicted the geographic spread and timing of epidemics in both recently epidemic and emerging locations. The study combined the data with dengue climate-suitability maps and estimates of seasonal dengue virus importation to generate fine-scale risk maps.

After the success of the study, Telenor plans to expand the findings and its use for other countries as well as other infectious diseases.


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Big DataEnterprise

HDS and ViON to Focus on Big Data Analytics


HDS-and-ViON-to-Focus-on-Big-Data-AnalyticsHitachi Data Systems (HDS) and ViON, a market leader in the design, delivery and maintenance of mission-critical IT infrastructure solutions, today outlined the next phase of its successful 35-year, $1 billion partnership.

Together, the companies will expand their combined efforts beyond high-end storage solutions for US federal government and public sector customers to include a focus on social innovation and big data analytics across industry sectors. As a first step, ViON is adding the full line of Hitachi Visualization products from Hitachi Data Systems to its big data solutions portfolio.

Fitting well into the ViON portfolio, Hitachi Visualization integrates data from video cameras, sensors, emergency dispatch and social media to provide situational awareness via a unified, fully integrated platform. The solution helps customers to push select data streams to operator workstations and make valuable data accessible to personnel in the field, while ensuring real-time visibility and enhanced situational awareness during high-priority events.

“Now, as the industry transforms, and new trends and requirements emerge, we must transform and expand our partnership to address new avenues and new customer demands like social innovation and big data analytics,” said Mike Walkey, senior vice president, Global Partner Organization, Hitachi Data Systems.

“ViON is proud to extend our long-standing Hitachi Data Systems partnership and to collaborate on such a powerful solution,” said Tom Frana, CEO and president, ViON.

“By working together, ViON and HDS are once again engineering and delivering technological capabilities that go beyond the mainstream to offer advanced insight and value to our customers, particularly in the public sector,” said Frana.

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Big DataEnterprise

Mphasis Launches Big Data Lab

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Mphasis-Launches-Big-Data-LabMphasis has announced the launch of Mphasis Next Labs’ maiden solution based on Big Data called ‘HyperGraf’- an Omni-channel Digital 360 solution.

HyperGraf provides the most comprehensive, accurate, real-time and actionable customer engagement insights across millions of data points spread over multiple customer engagement channels enabling real-time decision making.

Mphasis Next Labs is a strategic initiative by Mphasis to research and innovate on emergent and future paradigms centered around customer co-creation. It focuses on effectively leveraging innovations in business & technology to drive creative disruptions in short bursts with low gestation and go-to-market time.

It is an interdisciplinary group that explores application of fundamental principles, models and theories from mathematics, statistics, industrial engineering, operations research, psychology, economics and computer science to drive innovation and deliver business value.

HyperGraf is a Big Data Complex Event Processing engine which enables enterprises to innovate and make strategic decisions by analyzing content, collaboration and commerce networks. It generates actionable insights by correlating slivers of multi-structured customer data from diverse interaction channels and builds a single view of the customer with recommendations specific to the channels of interaction.

The underlying analytics behind HyperGraf is based on social network analysis, machine learning, predictive analytics, streaming data analytics, multi-structured data analytics, natural language processing, discourse analysis, pattern recognition and Bayesian inference.

“HyperGraf removes ‘gut-feel’ in enterprise decision making and facilitates innovation driven integrated digital customer insights, identifies comprehensive, accurate, real-time & actionable customer leads from diverse channels and facilitates the creation of engaging experiences across multiple customer touch points through higher relevance, convenience and responsiveness,” said Dr Jai Ganesh, vice president & head, Mphasis Next Labs.

“Mphasis Next Labs brings together a multi-disciplinary team of experts in computer science, mathematics, statistics, operations research, behavioral sciences and Business to research, ideate, innovate and co-create IP with our customers. The team creates solutions and service offerings in emerging technologies like Digital and IoT for our customers in Mphasis’ areas of focus,” said Gopinathan Padmanabhan, president, Global Delivery and HP Channel Sales.

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Infosys Collaborates with East China Normal University and Renmin University of China


Infosys-Collaborates-with-East-China-Normal-University-and-Renmin-University-of-ChinaInfosys in collaboration with East China Normal University (ECNU) and Renmin University of China (RUC), today announced the establishment of a Data Science Joint Lab.

The lab will be located in the East China Normal University campus in Shanghai, and will be open to students majoring in computer science.

The Data Science Joint Lab will focus on research and development of commercial solutions in the areas of data science and big data analytics. Through this joint initiative, Infosys, ECNU and RUC, will give students in China an opportunity to discover new technologies, skills and inspire them to innovate to find new ways to utilize big data.

The creation of this lab is a part of Infosys’ strategy to explore new areas of innovation, by bringing students and others in the IT industry together to pursue a passion for lifelong learning and to solve complex business problems faced by businesses.

Through this lab, Infosys will carry out data science related workshops and teaching activities, support research leading to innovations in the use of big data, and cultivate talent, which will in turn contribute to the social and economic development of China.

Dr Vishal Sikka, chief executive officer and managing director, Infosys said, “As almost all major industries get disrupted by the data sciences and associated technologies, it is time to build great, intelligent and adaptive applications, in unprecedented new areas of business. Especially, the purposeful ones – the ones that move us forward, as they help bring to life the power of data and software to transform our world and our lives. The ECNU – RUC – Infosys Data Science Joint Lab will pursue this mission.”

Professor Aoying Zhou, dean, Data Science and Engineering Institute, ECNU said, “Big data is undoubtedly going to play a significant role in the future of innovation and we are excited to work closely with Infosys and RUC to build and establish a best-in-class big data research lab in a few years.”

Professor Xiaoyong Du, dean, Information Institute, RUC said, “The joint effort in research into data science and education will instill new energy into the mutual cooperation between the two countries. The joint lab is not only limited to conducting theory research, it will also focus on how to apply theory into practice and technical solutions.”

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Hitachi Data Systems to acquire Pentaho


Hitachi-Data-Systems-to-acquire-PentahoHitachi Data Systems (HDS) today announced its intent to acquire Pentaho, a big data integration and business analytics company with an open source-based platform for diverse big data deployments.

The acquisition of Pentaho is expected to be complete by June 2015, and is subject to customary closing conditions. Upon the close of the acquisition, Pentaho will become “Pentaho, a Hitachi Data Systems company” and will retain its brand.

Pentaho will continue to execute its current business model under the leadership of Pentaho CEO, Quentin Gallivan, who will report to Kevin Eggleston, senior vice president, Social Innovation and Global Industries, HDS.

This acquisition helps to fulfill Hitachi’s strategy of delivering business innovations that integrate machine data, information technology and analytics to distill value from big data and the Internet of Things.

Pentaho software and expertise will advance the current HDS portfolio of products and services, and help bring additional HDS big data solutions to market sooner. The result will be unique, comprehensive solutions to address specific challenges through a shared analytics platform.

The Hitachi shared analytics platform will be a reference architecture that brings together and orchestrates different technologies from Hitachi, partners and the open source community. It will allow developers to add new capabilities on top of existing technologies for faster response to business needs.

“Data remains an untapped resource for many organizations and businesses – with the realization of the value of that data remaining a challenge,” said Kevin Eggleston, senior vice president, Social Innovation and Global Industries, Hitachi Data Systems.

“We are pleased to join the Hitachi Data Systems family and truly believe our complementary set of solutions will accelerate the adoption of big data deployments and Internet of Things applications,” said Quentin Gallivan, chairman and chief executive officer, Pentaho.

“The broad resources, expertise and global presence of Hitachi Data Systems, as well as Hitachi, Ltd., help ensure a strong foundation for Pentaho to continue to accelerate our big data analytics and data orchestration capabilities, bring new innovations to market, and expand support for current and future customers,” commented Gallivan.

This acquisition builds on an existing OEM relationship between the two companies and is a core component of the HDS strategy to accelerate its social innovation business and become a leader in IoT. The Pentaho vision to create transformational value from data generated and interconnected across people and things is brought to life by a big data orchestration platform to power embedded analytics.

The Pentaho platform simplifies preparing and blending any data and includes a spectrum of tools that enable users to easily analyze, visualize, explore, report insights and predict outcomes. Pentaho offers a platform that is open, embeddable and extensible, which allows it to deliver data and analytics as a service to customers and partners.

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Big DataEnterpriseNationalNews

Infosys collaborates with Stanford for data science


Infosys today announced a strategic relationship with Stanford University to undertake joint research in data science and analytics.

Through this arrangement, Infosys will work with Institute for Computational and Mathematical Engineering (ICME) to develop curriculum in data science and analytics focused on real-world problem areas and will undertake joint research using data science to find solutions to key industry issues.

Infosys and ICME will design curriculum tailored to meet industry-specific needs for Data Science and Analytics. These modules will draw upon identified needs of customers drawn from Infosys’ engagement with enterprises across industries.

Infosys will also encourage more students from Stanford to participate in its globally renowned internship program, InStep, and explore career opportunities with the company.

Dr Vishal Sikka, CEO and managing director, Infosys said, “I am confident that our relationship with Stanford will strengthen the foundations of data science for our clients and for Infosys through training on cutting edge technologies and algorithms. We look forward to conducting meaningful research with world-class researchers on issues of most importance to our clients and their business of today and tomorrow.”

Prof Margot Gerritsen, director, ICME, Stanford University said, “We are grateful for Infosys’s support of ICME. Our institute develops computational and mathematical models to solve complex problems, ranging from optimization problems to flow physics, from financial mathematics to the geosciences, from uncertainty quantification to recommender systems and machine learning.”

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Interview with Richard Nelson, vice president, International, X-IO

Rick Nelson_X-IO

“By 2017, India will contribute around 25 percent of overall revenue”

Rick Nelson_X-IO
Richard Nelson, vice president, International, X-IO

Richard Nelson joined X-IO in late 2011 and is presently building the international business unit to increase its company’s revenue. Nelson served 10 years in a number of roles at WebLink Wireless including VP of Marketing, VP of Business Development, senior VP of Sales and president of the International PageMart division where he was instrumental in helping the company grow from a start up to over $300 mn in revenues.

Nelson made his name as a corporate innovator at American Airlines where he spent 20 years and was the co-creator of the well-known Sabre Travel Reservations System, which became the largest global distribution system in the travel industry. Nelson received his BA in Political Science from Northwestern University and his MBA from the University of Dallas.

What is your India strategy?
The focus is on class customer which requires massive amount of data, CRM and Big Data. X-IO products provide high performance, high reliability and low operating cost. The economics of X-IO far exceeds vis-a-vis original vendor giving it an edge over others.

Verticals which X-IO is targeting in India?
We are focusing on verticals like telecom, BFSI, Big Data, and very much focused on virtualization. The focus is on telecom where focus is on virtualized call center. We are in the process of closing some architecture with service provider as CDR compliance is 12 years from April 2014 onwards. In the government sector, the focus is on military applications. In education vertical, emerging use of virtualization has increased with the coming of BYOD (bring your own device). X-IO is competitive vis-a-vis others as their products have low operating cost, consumes 1/3rd of electricity and has an extended warranty of five years. All this gives X-IO product an edge over others.

Presently, North America contributes around 98 percent of your revenue. How are you planning to increase your revenue from international operations?
Our growth rate is compounding at a nice level and year-on-year sales growth is double digit. Presently, North America contributes 98 percent of its total revenue and is presently present in markets like India, Australia and New Zealand. By 2017, we ae planning 50:50 revenue from international and North America operations.

What portion of revenue will come from India?
India will be the single largest block as it is a worldwide leader in system integration and software and application. So, there is a big opportunity and there is also lot of hope from the new government. By 2017, India will contribute around 25 percent of X-IO’s overall revenue. We provide newest generation, superior economics, great performance, virtualized datacenter. We improve not only cloud but flexibility and economics of inhouse deployment.

In Hyderabad, we have small R&D center where focus is on software process of managing storage, software management stack and virtualization management stack. We want to make India self sufficient and it contributes to global revenue of X-IO.

How do you see deployment of cloud in the Indian market?
Insource, outsource, infrastructure as a service (IAAS) is all different versions. Move to the cloud is in its infancy and we are watching this space. Our storage systems are well positioned for cloud market and virtualization.

Presently, cloud is 30-40 percent and it would be 50 percent if you add virtualization. Enterprises are embracing cloud but there are many obstacles. Cloud centers are built on and has to compete with inhouse deployment. Some of the economics are compelling and there is human tendency of keeping data outside. Remarkable progress inhouse and smart IT people are bringing inhouse cloud as everything on the cloud is too simplistic.

How have you performed till date?
Some of the clients that we have bagged are: ISRO, Saraswat Bank, Punjab and Maharashtra Cooperative Banks for database and virtualization. In 2013, we got placed into BFSI, scientific community and PSU and this year the focus is on IT/ITES, system integrator and system providers. In terms of system integrators, X-IO is focusing on Tech mahindra, TCS, Wipro, HCL Info and Andhra Pradesh Technical Services (APTS).

We are working with IT/ITES not only for their customers for their consulting but also for their internal use. Our focus is on database installation and vitualization and Big Data will be later part of this year- NIC and NTPC. In next 3-5 years, telcos will focus on performance storage data, more data use, archived and supplying of data to end user.

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