Friday, 25 May 2018

Interesting Reads – 2018-05-26

Do you know How And When The Internet Came to India? Come Find Out

While the explosion of humour after Tripura CM’s “internet in Mahabharata era” comment maybe well-warranted, few of us actually know the story of India first went online.

Government plans to monitor individual social media users to gauge opinion about official policies

I&B ministry tender for tool to create ‘a 360 degree view’ of users so it can target them with personalised responses raises privacy concerns.

Advanced Data Analytics

Organizations and companies have been using basic data analytics for years to uncover simple insights and trends. The appetite for more data and better analytics has grown over the years, and now most modern organizations track and record nearly all types of data: transactional, clickstream, social media, audio, video, sensor, text, image, and so on. This ever-increasing volume of data, along with the diversity of data sources, makes the process of extracting useful information and insights an ever more challenging and complex endeavor.

To meet this challenge, organizations and companies have turned to advanced data analytics as an overarching approach to finding the value hidden in the mountains of data that they are rapidly accumulating. Gartner defines advanced data analytics as autonomous or semi-autonomous data and content examination using sophisticated quantitative and qualitative techniques and tools with the goal of discovering deep insights and subtle patterns and of making predictions and recommendations. These techniques tend to be interdisciplinary and span fields such as:  data mining,  machine learning,     pattern matching,  visualization and simulation, semantic analysis, sentiment analysis, network and cluster analysis,  multivariate statistics, graph analysis, complex event processing, and  neural networks.

This October 2017 Computing Now theme issue presents six papers that cover the latest advances across the spectrum of data analytics tools, techniques, and applications. The two videos provide insights into data analytics as an emerging discipline, the benefits and challenges of using data analytics in industry, and what the field’s future might hold.

IEEE India Info Jan-Mar 2018 issue

This issue of IEEE India Info, the quarterly newsletter of the IEEE India Council has the following ten interesting articles and few regular columns apart from the report on various activities held in the IEEE Sections in India.

  • Blind and Visually Impaired through Users-Developed Dactylology by Mr. Gourav Modanwal and Mr. Kishor Sarawadekar
  • A Unique Pedagogical Experiment: The 5-Week Induction Programme (5WIP) at IIT Mandi by Prof. Timothy A. Gonsalves & Dr. Devika Sethi
  • Collaborative Contract Research / R&D Outsourcing in India The Gap and the Solution by Dr. K. Subramanian
  • Corporate Responsibility and the Challenges of Sustainability by Dr Mukund Rajan
  • IoT Demystified – Its role in precision agriculture to meet food security by Mr. Amit Saha
  • IoT-Cloud Applications for Societal Benefits – An Entrepreneurial Solution by Dr. Shajulin Benedict
  • Future of Testing in the Digital World by Ms. Renu Rajani
  • Future of Jobs – 2018 by Aspiring Minds
  • ASIC Cloud Trends by Mr. V. P. Sampath
  • Understanding Waste Management – Part 2 by Mr. Alok Kumar
  • IT in Jan – Mar 2018 by Prof. S. Sadagopan
  • Information Resources by Mr. H.R. Mohan
  • Book Reviews: The Business Plan Write-up Simplified; The Manual for Indian Start-ups; and IoT Technical Challenges and Solutions Enabling

Report: 2018 Open Source Security and Risk Analysis

The Black Duck by Synopsys Open Source Security and Risk Analysis (OSSRA) report provides an in-depth look at the state of open source security, license compliance, and code-quality risk in commercial software. Each year, the Black Duck On-Demand audit services group conducts open source audits on thousands of applications for its customers—primarily in conjunction with merger and acquisition transactions.  This year’s analysis was done by the Synopsys Center for Open Source Research & Innovation (COSRI) and examines findings from the anonymized data of over 1,100 commercial codebases audited in 2017.  Industries represented in the report include the automotive, big data (predominantly artificial intelligence and business intelligence), cyber security, enterprise software, financial services, healthcare, Internet of Things (IoT), manufacturing, and mobile app markets.

The OSSRA report includes insights and recommendations intended to help organizations and security, risk, legal, development, and M&A teams better understand the open source security and license risk landscape as they strive to improve their application risk management processes.

This year’s analysis examines findings from the anonymized data of over 1,100 commercial codebases audited in 2017.

Monday, 21 May 2018

Interesting Reads Archives