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.
Access
these resources at https://www.computer.org/web/computingnow/archive/advanced-data-analytics-october-2017-introduction
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
Read
them at http://sites.ieee.org/indiacouncil/newsletter/
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.
Download the report from https://www.synopsys.com/content/dam/synopsys/sig-assets/reports/2018-ossra.pdf
Earlier posts of Interesting Reads at http://infoforuse.blogspot.in/2018/05/interesting-reads-archives.html
