TCS Launches Robotic Automation Solutions to Accelerate Digital Transformation in the Semiconductor Industry

Tata Consultancy Services’ Robotic Data Factory Solution, Built at Its New Center of Excellence, Will Significantly Reduce the Response Time to Anomalies in Semiconductor Production

Tata Consultancy Services, a leading global IT services, consulting and business solutions organization, announced that it has launched new Robotic Process Automation (RPA) solutions that leverage the power of analytics to drive greater accuracy and better quality in chip fabrication, and help semiconductor companies accelerate their digital transformation journeys.

The semiconductor market is going through immense change at unprecedented speeds driven by hyper-connectivity, big data, and adoption of Internet of Things. Semiconductor companies are aggressively pursuing strategies to enable rapid innovation, product line expansion and vertical market focus, with speed and agility.

TCS is partnering with leading semiconductor companies in navigating the change using its Machine First Delivery Model and Business 4.0 framework. It is leveraging its deep domain knowledge in the semiconductor industry, and expertise in analytics, AI and machine learning to transform core operations in this sector.

TCS has set up a new Semiconductor Center of Excellence (CoE) to design and build closed loop systems that combine the power of analytics and automation to reimagine the semiconductor fabrication (fab) value chain. Specialists at this CoE are creating solutions that will enable production robots, powered with intelligent algorithms, to respond to heterogeneous scenarios to improve quality and accuracy throughout the semiconductor manufacturing process.

The TCS Robotic Data Factory solution, built on Blue Prism’s Connected-RPA platform, will leverage insights derived from fab production data to trigger appropriate business workflows, significantly reducing the response time to anomalies in the production of semiconductors.

“We are leveraging our deep contextual knowledge gained from engagements in the semiconductor industry and harnessing the power of robotic automation to intelligently streamline core business processes using fab data. This will significantly jumpstart our customers’ Business 4.0 transformation journeys, with faster product introduction and improved quality,” said V Rajanna, Global Head, Technology Business Unit, TCS. “Our new CoE reiterates our commitment to invest in defining new digital paradigms for the semiconductor industry.”

“By combining TCS’ semiconductor industry expertise and our Connected-RPA platform we’re able to transform operations and speed up product delivery in one of the most competitive and vital industries in the world,” said Chad Gailey, Vice President, Channel Sales and Global Service Providers, Blue Prism Americas. “We are driving disruption and innovation by offering an unbeatable value proposition for deploying intelligent automation solutions.”

Source: https://aithority.com/robots/tcs-launches-robotic-automation-solutions-to-accelerate-digital-transformation-in-the-semiconductor-industry/ (Accessed on August 16, 2019)

Opinion | Govt Must Boost Research In Social Sciences To Preserve Ancient Knowledge

Institutions like JNU, TISS, and CSDS, and Centre for the Study of Social Science, have a strong tradition of social science research and must be strengthened to realise government's vision, writes Badri Narayan, Director of the G.B. Pant Social Science Institute.

To read the full article, please visit:

https://www.outlookindia.com/website/story/india-news-opinion-govt-must-strengthen-social-sciences-institutes-to-preserve-ancient-knowledge/336100 (Accessed on August 16, 2019)

Six cities picked for Centre’s project to link research, industry

The project is being spearheaded by the office of the Principal Scientific Advisor (PSA) on a priority basis under its agenda for the first 100 days of the NDA government’s second term.

To read the full article, please visit:

https://indianexpress.com/article/india/six-cities-picked-for-centres-project-to-link-research-industry-5899865/ (Accessed on August 16, 2019)

UGC to roll out NET for admission for M Phil, PhD

All higher education institutions across the country will soon have to enroll all category of students in PhD programmes on the basis of their scores in entrance test and interview.

Read more at: https://www.deccanherald.com/national/ugc-to-roll-out-net-for-admission-for-m-phil-phd-754137.html (Accessed on August 16, 2019)

Certificate by Institution of Mechanical Engineers not equivalent to Degree, Supreme Court

The Supreme Court has reaffirmed that Certificates issued by the Institution of Mechanical Engineers (India) [IMEI/ appellant] to its Members on successful completion of its bi-annual examination cannot be equivalent to a Degree.

The judgment was passed by a Bench of Justices UU Lalit and Deepak Gupta in an appeal by Institution of Mechanical Engineers against a judgment of the Punjab & Haryana High Court.

The appellant, a Society registered under the Societies Registration Act, 1860 was established to promote the profession and practice of Mechanical Engineering Professionals. It conducts bi-annual examinations known as Technician Engineers’ Part-I and Part-II, Automobile Technician Engineers’ Examination Part-I and Part-II, Production Technician Engineers’ Part-I and Part-II, Refrigeration and Air Conditioning Technician Engineers’ Examination Part-I and Part-II and Section-A and Section-B of Associate Membership Examination in Mechanical Engineering.

To read the full article, please visit,

https://barandbench.com/certificate-by-institution-of-mechanical-engineers-not-equivalent-to-degree-supreme-court/ (Accessed on August 16, 2019)

AICTE-CII survey to help academia, industry

HIGHLIGHTS:
The ongoing final and full survey of the All India Council for Technical Education (AICTE) and Confederation of Indian Industry (CII) for 2019 has shortlisted more than 50 technical, management and pharmacy institutions from Telangana and Andhra Pradesh.

To read the full article, please visit:
https://www.thehansindia.com/telangana/aicte-cii-survey-to-help-academia-industry-554427

What Skills Do Data Scientists Need

There is currently a huge demand for data scientists, which is a top-trending job with attractive salaries. But what are the skills and tools that employers are looking for. It's a few years since we asked What is a Data Scientist and How Do I Become One? The answer given back in 2015 is still valid as a starting point: Similar to a business/data analyst, data scientists combine knowledge of computer science and applications, modelling, statistics, analytics and math to uncover insights in data. But what does this mean in terms of the skillset a data scientist should acquire. The question How to Become More Marketable as a Data Scientist has been tackled by the research team at CV Compiler, a company which provides guidance on creating a convincing resume to developers and others in the software industry. For an analysis of the skills required by data scientists the CV Compiler team looked at 300 Data Science vacancies from StackOverflow, AngelList, and similar websites. Then using their own text analytics tool, they identified the terms which were mentioned the most frequently and created this chart: It needs to be noted that the research represents the preferences of employers, rather than of data scientists. I would have expected to see "Machine Learning" near the top of the list because looking at job descriptions you discover that Machine Learning Engineers work in Data Science teams and that Data Science Interns can expect to "gain valuable AI/ML skills". Perhaps the two terms are so intertwined that knowledge of  Machine Learning is assumed. While R is frequently referred to as "the language of data science, Python outnumbering it in job vacancies makes sense in that Python a general-purpose language and currently trending when it comes to popularity. I'm surprised to see Scala quite so high and the complete absense of Julia both from the table and from the blog report write up where other skills and tools that gain substantial number of mentions are discussed. For example, while Big Data is in the table with 221 mentions, the term Data Mining, used for "collecting big data" isn't in the table despite but the fact that it had 128 mention in job vacancies is reported. While SQL comes high in the list, and ETL (Extract, transform, load) is in the table, there's no mention anywhere Mongo DB or No SQL. On the other hand mentions of the open source  Apache Spark outnumber those of Hadoop. Commenting on this Andrew Stetsenko writes: According to the 2018 Big Data Analytics Market Study, Big Data adoption in enterprises soared from 17% in 2015 to 59% in 2018. Thus the popularity of Big Data tools also grew. [In addition to Spark and Haddoop] the most popular ones are MapReduce (36), and Redshift (29) .....some employers still expect candidates to be familiar with Apache Pig (30), HBase (32), and similar technologies. HDFS (20) is still being mentioned in vacancies as well. As with Compiler CV's earlier report on the skills needed by JavaScript developers, the figures in brackets are the number of mentions. Stetsenko also mentions the importance of data visualization, mentioned in 55 job vacancies and notes: It’s crucial that you could represent the outcomes of your work in a format, understandable to any team member or a customer. As for the data visualization tools, employers prefer Tableau (54). The fact that Computer Vision and NLP (Natural Language Processing) make it into the table serves to emphasize that AI and Data Science are inextricably linked and that knowledge of AI tools such as Tensorflow is well worth acquiring.  Source: https://www.i-programmer.info/news/197-data-mining/12988-what-skills-do-data-scientists-need.html (Accessed on August 7, 2019)