Cloud computer and Big Data services will play an important role of future development of China-based Alibaba Group, according to industry sources. To move toward its goal of becoming a cloud computing and Big Data service provider, Alibaba held a developer forum for the advancement of its Aliyun ecosystem in October. Alibaba has also teamed up China ITS, a technology solution and service provider for the transportation industry, to win contracts recently to set up and operate Wi-Fi networks in more than 300 railway stations in China.
Last year three Indian metro cities – New Delhi, Mumbai and Kolkata were listed among world’s 25 biggest urban areas. Topping it, Gartner stated that India will become one of the world’s biggest consumer economies during the next five years and by 2014 India will have more than 1 billion mobile subscribers and will see a significant rollout of new IT infrastructure in both the public and private sectors. To reinstate that prediction, enterprises across cities have started to witness an increasing inclination towards technologies which is a result of the confluence of social, mobile, cloud, Big Data, analytics and virtualization.
Big data rightfully is considered as a “natural resource” today. It is being put to its maximum use in order to predict consumer behavior and demand and to earn consumer loyalty. Thus, developing to become a business relevant tool. Nevertheless, data alone is not sufficient to address business problems. The crux of the issue is to glean insight from the data in order to make better business decisions. For this purpose infrastructure can improve significantly, providing the much needed agility and make the business more result driven.
The boards of Australia’s top four banks increasingly see information security as an issue worthy of their focus, according to the security chiefs at ANZ, Commonwealth Bank, National Australia Bank and Westpac. Taking part in a spirited and congenial discussion at the annual AISA conference in Melbourne, the four executives described how their organisations today regard the IS function as essential and no longer view it through the narrow lens of compliance and cost.
Singapore government websites will soon be able to better recognise citizens’ needs with a new big data analytics tool. cOnce the pilot project goes live next year, the cloud-based tool can process and understand a citizen’s question accurately and provide an answer within seconds. This capability will enable citizens to better navigate government services and get personalised advice when using online services. The tool also provide government agencies with insights on citizens’ needs and priorities.
The Singapore government has begun building its own Skynet. No, not the killer AI that wrecked havoc on humankind in The Terminator, but an eye in the sky which will know in real-time where all the cars are in the country, round-the-clock. The reason for that, at least on the surface, is mundane: it wants to improve traffic by charging drivers for using congested roads. Singapore’s existing Electronic Road Pricing (ERP) system uses physical gantries that charges drivers for going past it. But it has been criticized for being ineffective .
ARMONK, N.Y. and GUANGZHOU, China, Sept. 15, 2014 /PRNewswire/ — IBM (NYSE: IBM) and Yonyou Software Co. Ltd, the largest enterprise ISV in the Asia Pacific region, today announced a strategic collaboration to accelerate the adoption of IBM Big Data & Analytics technologies to help customers gain business insight and run their applications more efficiently and at much lower cost. Under terms of the agreement, Yonyou and IBM will optimize DB2 with BLU Acceleration for NC, Yonyou’s ERP, supply chain, customer relationship, and human resources software.
A big data research group set up by the Government is pitching to expand its research targets so it can use data analytics to assist the Government in its new efforts to vet public sector staff on an ongoing basis for security purposes. At the Security in Government conference in Canberra this week, the chairman of the Data to Decisions Cooperative Research Centre (D2D CRC), Tim Scully said the problem of the insider threat was tailor-made for data analytics.
MUMBAI: Majority of the decision makers in Indian enterprises have ranked Business Intelligence as the major use of Big Data. They also agree that cloud computing and Big Data can give significant impact for their business. According to a survey by online education company Skillsoft, 65% of decision makers in India ranked business intelligence as the greatest benefit of leveraging Big Data — huge and complex data sets from various sources which are difficult to process.
The IT industry might be tripping over each other fighting for analytics professionals, but at some Indian enterprises, CIOs say it isn’t quite yet the time to hire separate data analysts–pointing to perhaps a mismatch between what enterprises are looking for and what’s available. In the last two years, the demand data analysts, data scientists, business intelligence professionals, has skyrocketed. In a recent Gartner report, the research agency pointed out that by 2015, big data will produce 4.4 million jobs globally, but only one-third of those jobs will be filled. According to McKinsey, India will need 2 lakh data scientists in the next few years.
Singtel-owned Optus has signed a deal with global customer service desk 7, which will provide Optus customers live support, seven days a week, via a click-to-chat app. Optus uses the 7 Assist support chat platform for laptops and desktop PCs. This service, according to 7, utilises “big data analytics” to predict a customer’s issue and provide “real-time decision support making abilities”.
Big data analytics innovator Mu Sigma, based in Chicago and Bangalore, has acquired the Singapore-based social media analytics firm Webfluenz. Mu Sigma, one of the most successful Indian tech startups, with a billion-dollar valuation, counts more than a quarter of Fortune 500 companies among its customers. Its USP is to conflate data from multiple sources – people and machines, processes and platforms – to help its clients make intelligent decisions in critical areas like risk, supply chain, and marketing. Mu Sigma employs over 3,000 decision scientists with experience across 10 verticals.
Preferred Infrastructure (Preferred) is storming Japan’s big data landscape. The thirty-strong company was founded by graduate students, overcame Japan’s own busted tech bubble, and now sells its natural language processing software-as-a-service to some of the country’s top firms. The list is media-heavy, with the Asahi Shimbun, Nikkei Business, and NHK (the national public broadcaster) leading the pack. However, Preferred’s services are varied enough to also entice the likes of NTT, Japan’s largest telco.
Public transportation has been a subject of great discontent over the past few years. With sky-high car ownership costs in the island-state, it comes as no surprise that citizens turn to trains and buses as their main mode of transportation. In fact, according to Desmond Kuek, CEO of SMRT Corporation Ltd (SMRT), over 6.3 million passenger trips are made daily across the Singapore transport system, and each day trains cumulatively run one-and-a-half times the circumference around the Earth’s equator – that’s about 40,000km.
Silicon Valley-based Japanese startup FlyData has received an additional investment of US$1 million US$1.45 million from Nissay Capital, Archetype Ventures, and CyberAgent Ventures. Prior to today’s round, the startup had previously raised US$680,000 from investors including 500 Startups and CyberAgent Ventures in 2011. Then, in June of last year, it raised US$925,000 from Nissay Capital.
Contexti, a premier Big Data Analytics Consulting, Training and Managed Services company has today announced a partnership with Mediatrac, a strategic analytics company serving the Indonesian market. “Indonesia is an important market for us in South East Asia,” said Sidney Minassian, Founder & CEO of Contexti. “Together with our partner Mediatrac, we’re bringing a winning combination of market insights, deep local relationships and expertise in big data platform implementation.”