IOT/AI


  

In The Spotlight: Airveda shortlisted by GMDA to set up air quality monitors in Gurugram

Come winter and north India is enveloped in thick smog, caused by rising pollution levels and crop burning in several agrarian states. Every year, during the festive season of Diwali, New Delhi and surrounding areas choke on hazardous air, reluctantly accepting the moniker of being “India’s most polluted metro”. Universal access to air quality data leads to greater awareness and better decisions around air quality exposure. Unfortunately, today this data is available for less than 2% of Indian cities. Air quality monitors are a high cost venture, and most states cannot afford them. There is a need for affordable and accurate air quality monitors that can address this rising challenge. CoE Gurugram incubated startup Airveda Technologies, has been shortlisted by Gurugram Me...

In The Spotlight: Gurugram CoE startup NaraIoT only Indian company to win Asian Development Bank hackathon

NaraIoT, CoE Gurugram incubated startup, became the only Indian company to have won US$10,000 in ADB (Asian Development Bank) AIM Hackathon for ‘Future proofing Global Water Crisis’ category. The hackathon was organized at the ADB Headquarters, Manila, Philippines from 31st Aug to 2nd Sep 2019. A total of 220 teams from 39 countries, participated to create a solution for the Global Water Crisis. Agua, powered by NaraIoT, is an integrated real-time water management solution that works to increase the availability of water through optimization of water usage, consumption and flood management. The product has been under development for four years and through ADB it has created a global visibility for its solutions. The Asian Development Bank (ADB) will partner with three winning t...

Training The Tectonic Iceberg: The Journey Of Amstar Technologies In IT Upskilling

Tell us about your role as CEO of Amstar Technologies  My Role as a Director & CEO at Amstar Technologies from 2005 entails a lot of outcome based strategic planning and sustainable value creation. I have previously worked in challenging and exciting job tenures at HCL, NIIT, Aptech etc from the early 80’s to late 2004. But I always had that inner calling that I should do something for the betterment of the society. That’s when I realized that skill development is essential for the Indian technology community. IT was slowly booming up in the early 90s and 00s and many people were found lacking in subject matter expertise. The real challenge came when they failed to deliver on their assigned output areas. After conducting an initial level of market research, I saw a copious need that co...

Tackling The Cancer Epidemic Using AI: A Hands On Session in Breast Cancer Detection

In recent times, breast cancer has become the most common type of cancer affecting women worldwide accounting for 25% of all cancer cases and affected 3.5 million people in 2017-18. Early diagnosis in these cases significantly increases the chances of survival. The key challenge in cancer detection is how to classify tumours into malignant or benign. Research indicates that most experienced physicians can diagnose cancer with 79% accuracy while using artificial intelligence based diagnosis, it is possible to achieve 91% accuracy. Ahead of Breast Cancer Awareness Month (October), NASSCOM CoE IoT-AI Gurugram & Equonix Tech Lab organised a hands-on session on 28th September 2019, 10am onwards at the CoE Gurugram center on Breast Cancer detection. This was a paid session and there were ove...

Key drivers of driverless vehicles

Published in online version of Business World Key drivers of driverless vehicles New technologies are constantly emerging but may take years or even decades to mature. And then comes a tripping point when they look commercially viable and useful and starts drawing the attention of innovators, investors, general public and government. One such technology ready to steal the limelight is of driverless vehicles. Such vehicles are also referred to as self-driving, autonomous or unmanned vehicles. There is a difference in meaning of the words, unmanned and driverless for in certain cases vehicles may still need intervention of human beings though they do not need any drivers. However, the key point is evolution of vehicles where humans are not needed in driver’s seat. The vehicles where these de...

The rise of machines and automation

Published in online version of Business World The rise of machines and automation One measure of the status of civilization is the complexity of tools used by the society. As societies have progressed, tools and machines used by them have become increasingly complex. Despite their rising complexity the current set of tools and machines still need humans to create and use them and they can only do things what humans have preprogrammed them to do or control them to do. In particular, current set of machines cannot learn and enhance their knowledge. Robotics and Automation However, a new set of machines are emerging that can learn and they need minimal human intervention to operate. They are pre programmed with a small set of instructions and ‘learn’ by examining the working conditions. Like ...

Blockchain and IoT ushering in an era of innovation

By Harish Jaggi, Lab Chief, GlobalLogic India IoT has immense potential and wide-spread applicability in areas such as smart infrastructure planning, healthcare, environmental monitoring, agriculture and home serviceable smart devices. However, the risk of data hijacking and potential abuse is a challenge that needs to be addressed in order to ensure an optimal use of IoT. IoT plays a pivotal role in transforming cities into smart cities, electrical grids into smart grids and houses into smart homes. According to Deloitte India’s TMT Report 2018, number of connected devices is predicted to reach anywhere between 20 and 40 billion by 2020. Embedded devices have specialized operating systems, which are constrained by memory and computing resources, making them deviate from traditional comput...

Webinar: Power of Data Management for successful AI/ML and digital transformation projects.

Overview  Over 70% of AI/ML projects fail due to poor data management and biased data. In this webinar you will be exposed to array of factors that negatively impact advanced analytics programs and you will gain an overview of to the DCAM (Data Management Capability Assessment Model) Framework that has been adopted by over 50% of the global financial industry and other industries to include global regulators. The DCAM Framework exposes gaps in digital transformation projects in how data is provisioned to assure non-biased outcomes and requires governance programs insure ethical use of data to meet data privacy requirements such as GDPR and soon CCPA. DCAM provides a comprehensive perspective on capabilities needed to develop and implement data driven capabilities to assure sustainable outc...

Many technologies must deliver for IoT to deliver

Published in online version of Business World Internet of Things or IoT aims to connect interrelated computing, mechanical and digital machines to a common platform. The devices will connect to each other as well as to the humans and will collect information about their environments by sensors. The number of such devices could touch 20 billion by 2020 as per Gartner. As per International Telecommunication Union number of humans using internet is 3.2 billion. In the emerging digital world, connected devices or things would overwhelm the humans. The impact of IoT would be unprecedented. Home appliances could be remote controlled and warnings of faults would be available on time. In industries, control of various devices in the factories will shift from factory floor to the control rooms. Aut...

Artificial General Intelligence is the next step in machine intelligence journey

Published in online version of Business World  The journey of Artificial Intelligence started in 1956 when it was founded as academic discipline. One of the pioneers, John McCarthy defined it as “the science and engineering of creating intelligent machines”. Though it moved ahead in research and academics, it started gaining commercial traction only when the cost of computation power and storage started falling and network bandwidths allowed cloud computing and storage to become viable. The rise and rise on internet provided multiple use cases for its use. Application of Artificial Intelligence Its most visible application is Machine Learning (ML) which is based on the idea that computers can decipher patterns from data and predict outcomes thereafter. Machine Learning uses a single layer ...