Archive for the ‘Technology’ Category

Rivigo using Technology to Disrupt Indian Logistics Industry

February 23rd, 2017 Comments off

Rivigo is one of the fastest growing technology enabled surface transport companies in India. Rivigo developed a unique model (relay model) wherein they have been able to double average utilisation level of trucks from about 6,000 km per month (conventional model) to about 12,000km per month. Rivigo’s focus is to reduce turnaround time rather than existing models in the industry which focus on saving costs.

The Rivigo Technology
At the heart of RIVIGO’s model is the dependence on technology to solve common issues facing the trucking industry – pilferage, leakages, etc. They have developed over Read more…

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IBM’s Software Stack for New Digital Enterprise of 2020

August 31st, 2016 Comments off

IBM Enterprise Software Stack 2020IBM long regarded as a sleeping giant took a deep plunge with initiatives which are a combination of Analytics, Cloud Computing, Social, Mobile and Security,and combined have been growing “double-digits” over the past few years. They have readied enviable Software Stacks to enable Enterprises to go Digital with high RoI by 2020.

IBM Watson uses machine learning and deep learning algorithms to make predictive analysis that’s “evolves” or “learns” with every new bit of information. Watson also has natural language processing (NLP), as well as speech and image recognition built Read more…

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Rise and Rise of AI / Machine Learning

July 14th, 2016 Comments off

Rise of AI Machine LearningThe growth of Artificial Intelligence (AI) and Machine Learning has recently accelerated due to: 1) access to faster, cheaper computing power, 2) easier application development due to the release of various open source software frameworks, and 3) increased capabilities of AI due to new techniques such as deep learning. Due to
these innovations, we believe an AI arms race may be breaking out, with large tech companies racing to monetize their unstructured proprietary data sets ahead of the competition.

We see two key areas: 1) Big Data. AI can mine immense, non-standardized data sets and categorize and provide insights on the data. We believe that hyperscale Read more…

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Alibaba’s – Big Data eCommerce Revolution

June 30th, 2016 Comments off

Alibaba BigData CommerceAlibaba started as an eCommerce Company. Since 2009, senior management has set a goal of transforming Alibaba into a data company. Its data ecosystem is built to collect, process, and utilize all types of user data to improve the customer experience and facilitate commerce. In the last two years, it has successfully become a mobile commerce company that connects digital commerce, media, and entertainment. The foundation is set to transform Alibaba into a leading data commerce company that leverages big data / cloud computing to upgrade all of its businesses, ecosystem partners, and customers.

In the last two years, Alibaba has successfully become an mCommerce (mobile commerce) company, in our view. The success of its mobile transition Read more…

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How World moved away from Standalone Servers to Cloud IaaS ?

June 11th, 2016 Comments off

Birth Rise of Cloud ServicesBefore wide-spread server virtualization (mid 2000s), corporate IT departments would order a server, wait days or weeks for it to be delivered, install an operating system (usually Windows Server) and then run that server, in support of one application or one part of an application. A significant issue in this pre-virtualization world was maximizing server compute resource utilization by properly matching a server’s compute resources with the necessary computing power needed for an application. Many times, servers would only be needed for part of computing resource, as the hardware needed to be sized for “peak” load. This led to significant inefficiencies in hardware, where as little as 5% of a server’s resource was used by a single application.

Then came server virtualization. Virtualization “slices up” server compute resources to where multiple applications can use the resources of one server, drastically increasing utilization. Each “slice” of a server’s compute resources Read more…

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Baidu monetized Maps Platform with Local Ads before Google Maps

May 27th, 2016 Comments off

Baidu is the biggest search engine in China. Searching on or Baidu Mobile App is very easy and contains a great amount of content. According to Baidu, over 10% of mobile Baidu search is for local services, and Mobile Baidu has MAU of 630 mn.

Baidu’s founding team believed then that developing bleeding edge Internet applications is the only way to survive and grow. Thus they developed their own mapping platform – Baidu Maps. As Baidu Map is equipped with search nearby functions, more and more users are using it as a local service discovery channel (Local Express) as they can find out the location and distance of service providers and navigate easily. This type of discovery also has a high conversion ratio Read more…