Strategic program towards adoption of a cloud-based data center to ensure
Go through the most exhaustive set of high-quality research, strategy as well as academic
papers and sectoral reports that you will find informative and helpful.
A comprehensive set of statistics and its analysis that reveal the hidden value
behind data and uncomplicates business jargon.
In-depth analysis of Industries and companies and how they manage complex and demanding business environment.
Stories that have an impact on our world of Choices and help us
see the changing environment in a new light
NASSCOM Engineering R&D had organised a webinar on “Digital Twin: Enabling Creation Of Unified Digital Enterprise” in June, 2020.
The world changes based on what we do. While inventing and adapting to a spectrum of novel technologies establishes one half of the story, the other half lies in wisely complementing these technological advancements with traditional, proven practices running deep into our roots. The future vision of globalization will be driven & governed by fusion of impactful new age technologies, expertise and personal knowledge of experts. With this engaging amalgamation, what looked seemingly impossible, difficult to achieve, or what had been in the realm of imagination, can now be realized.
In this context, Digital Twin is one such innovation that has the potential to answer this demand and is likely to impact most of the enterprises worldwide. A Digital Twin enables enterprises to see the un-seeable, perform experiments to understand the what-if scenarios, simulate, execute, and control their business operations. It facilitates enterprises like yours to evolve rapidly and get much closer to the digital enterprise you envisioned! In the long term, Digital Twins bring about the possibility of integrating systems and data across the entire ecosystem of an enterprise. Today, Digital Twins are built mainly for intra-organizational consumption, however, in the future, Digital Twins would be built for inter-organizational consumption as well. Digital Twins can transform your organization into a digital enterprise that assures a smart future, eventually improving your business results.
Are you keen to understand how Digital Twin helps tackle organizational challenges?
Tune into this webinar and look forward to learn:
CLICK HERE to listen the Live Session recordings here and also find appended the PDF from the Q&A Session responses.
The post NASSCOM Engineering R&D Webinar: Digital Twin- Enabling Creation of Unified Digital Enterprise || Q&A Session appeared first on NASSCOM Community |The Official Community of Indian IT Industry.
No Hyper-inflated statistics; just 11 simple reasons:
Writing content for ‘content marketing’ can be the highest order of ‘meta’ that can be.
But what can we do, this is the ‘in’ thing!
New articles cropping up on the web everyday about the same are testament to the fact that there is a range of audience out there who want to know how to use it to increase engagement and conversions on their website.
Getting rid of advertisements and expensive sales-generating tactics, content marketing relies on publishing informative material which interests a niche group and then viral distribution of the same.
An ‘inbound marketing’ tactic, it stems from the belief that quality content will naturally attract a large amount of people, thereby increasing brand awareness and website traffic.
This leads to greater on-site conversions than the traditional marketing initiatives which require continuous and highly focused efforts.
So how do you get content marketing right?
First and foremost, get your content right. Coming up with a few poorly written blog posts just because everybody is and it seems to be the trend isn’t going to help and for the most part, will only waste your valuable time.
Make sure that your write-ups are a) well-written, informative, comprehensive and jargonless. b) appealing to your target audience.
A well-written content that doesn’t resonate with your audience is as useless as poorly-written content that resonates with your audience. The two factors aren’t mutually exclusive and to achieve viral success a combination of both is a must.
To uncover relevant ideas on which you may write about, seek advice from your community itself with the help of social media.In addition to articles, you can also come up with videos, infographics, interactive images, illustrations, case studies, etc.
If a peacock danced in the woods, and no one saw it, did it really dance? Ok, now I myself am getting into jargons even though I advised you not to.
The point is- every good thing has to be made public to be acclaimed by people.
Once you have a polished and elegant content, you can’t just simply post it on your website and expect Google to bring in the traffic for you.
That privilege is held by the likes of Mashable and Buzzfeed and since you’re reading this article, chances are you aren’t Mashable or Buzzfeed.
The fastest and most effective way to circulate anything through the internet machine is social media. Put your content links on the social media handles to encourage person-to-person sharing and you can build your campaign some initial traction.
Needless to say, the success of your content marketing promotions is directly proportional to the size and the level of engagement of your social community.
And the social community isn’t just limited to Facebook and Twitter handles; search for forums that are related to your industry and position yourselves as a reliable authority by actively posting over a period of time, not just about your content but on discussions related to other topics too.
If you only pop up once in a while to drop your promotional material and disappear until next such piece is to be shared, people won’t take you seriously.
Lack of Proper Planning while doing Content Marketing
Although this is a point I’m discussing last, this should be on the top of your list if you want an effective content marketing strategy.
Any marketing technique, inbound or outbound, has a gist- a final motive that it wishes to achieve, and content marketing is no different.
Your final target here can be anything- be it an increase in sales or simply an increase in social media followers to get your brand on the tongue of people and establishing its presence.Either way, you need to decide on your final target first and then plan the whole marketing strategy accordingly.
Because if your target is the first one, i.e. an increase in sales, there is no point of quality content, an engaged community, greater interaction and sharing unless all these translate into real-life business growth.
Wrapping things up
Content marketing is no silver bullet and hence doesn’t guarantee foolproof success, but if used correctly, it can yield significant traffic growth and brand recognition.
The post How Content Marketing Increases Website Traffic appeared first on NASSCOM Community |The Official Community of Indian IT Industry.
Who knew 2020 will be full of surprises?
This year has created history, where India was already struggling with an economic slowdown and inflation, a virus called Corona Virus came and destroyed not just India’s but the world’s economy, and the cyclone “NISARGA” left Mumbai, Kolkata and Orissa unscathed. It wasn’t the end, when Rajasthan, Haryana, and Uttar Pradesh got attacked by swarms of crop-destroying Locusts, which happened after long 27 years.
Everything had fundamentally impacted everyone’s lives, and disruption had unfolded in many ways.
However, the worst impact had been seen in the employment prospects.
India’s unemployment rate is now at a record high of 27.1%, according to the Centre for Monitoring the Indian Economy (CMIE).
India will have to come up with new trends and solutions to give a boost to its economy and employment!
Thanks to our honorable Prime Minister who brought new trend to India with its campaign of “Digital India”. Digitization had made work from home possible during the quarantine period.
However, the question arises, can our Economy operate on WORK FROM HOME basis or will it have to take few new turns in a different direction?
Obviously, working remotely is not the only solution.
21st century has been remarkable for so many things including social media, disruptive innovation, IoT, a period of recession, geopolitical surprises and above all now, the rise of the gig economy. The recession hit us at a period when either the millennial were having education or entering jobs.
Our Economy will now have to shift from the “Job Economy” to the “Gig Economy”
GIG ECONOMY will come up and will capture the demand and supply and fill in the gaps of economic development with employment.
Debjani Ghosh, NASSCOM President said “If we don’t use this opportunity to drive radical changes, it is our loss,”. She pointed out this the pandemic will change the work, and work ethics forever.
WHAT IS GIG ECONOMY?
In a Gig Economy, employees work on a contractual basis, which exists outside its traditional employment. The jobs are flexible, on a temporary basis, and mostly creating networks digitally.
People start making a living by taking multiple job roles which are project based, and it’s definitely fun since they do what they want to and whenever they wish to. No limitations.
Some are already a part of this GIG ECONOMY like Cab drivers, delivery and some are freelancers like web designers, content writers and the other talent gigs.
Teachers, sales person, independent contractors, consultants, artists are few more examples of common gig workers.
But now a new set of people would emerge, and be called as CORPORATE GIGS.
These jobs will vary from its functionality like Human Resources Management, IT, Finance, Marketing and even Law.
It is estimated that around 5-7% of the employee base will be a part of the gig model in the traditional companies.
For this, even the organization needs to work, like provide them training, on-disclosure agreements, and supporting the employees so that they get gigs according to their potential.
According to ASSOCHAM’s report, the size of the gig economy is estimated to grow at CAGR of 17%, and will hit volume of $455 billion by 2023.
Do you know, a study estimated that AMERICA will have more than 40% of the American Workers as the gig employers?
According to Edison Research, 44% people will have primary source of income working as the gig employers.
1 in 6 workers in traditional jobs want to become an independent worker.
There are no entry barriers, and anyone from any corner of the world can participate. This has increased the demand for job profiles like that of bloggers, researchers, analysts, consultants etc.
The rise of Uber and Air BnB is also a testimony to the fact that gig economy holds immense potential and it is favoring people.
HOW GIG ECONOMY CAN BE BENEFICIAL?
Potential opportunities that can be a good fit for jobs post covid:
Although gig economy will provide employment to a very large number of people post covid but there will be issues because not everyone is too skilled to find a job in this highly competitive environment. There might be compliant issues, security issues, and career management issues.
Employers must understand and incorporate models and assignments in the favor of gig workers. Both the organization and gig workers shall be cautious and stay focused when it comes to the integration. Flexibility and availability shall be balanced.
While on one hand autonomy will inspire, it will result in ‘Corporate gigs’ being the ‘new normal’, with many potential win-win stories.
Palak Bhatnagar is a student , pursuing PGDM in Finance and Business Analytics at New Delhi Institute of Management , New Delhi . She is a finance enthusiast , a versatile person who likes to explore . She is a keen learner with an objective to learn and grow.
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The Transformational Power of Standards
In India, the f ramework of creating and using occupational standards has been set up and follows some of the best practices f rom across the world. However, implementation of NOS across sectors has been slow. One of the key challenges can be the lack of awareness of what these standards are and how they can help. It may also be that in the initial days the rigidity of the process turned some participants away. It is time to re-look at the benefit the
standards f ramework provides to industry that are still unexplored. This paper is an attempt to highlight the benefits of the framework and how industry can leverage those parts of it that can be woven seamlessly into existing processes of hiring and assessment. Before this paper delves into the world of Occupational Standards and how they could transform the way we look at education and skilling, it is important to illustrate how standards have the power to change entire industries, markets and occupations and indeed, have done so, time and time again.
The GMAT test is an example. The nine universities that created the test, went on to become the top universities in the world because of their ability to select the best candidates from a massive pool of talent.
Standards can be called a common vocabulary that can be used to drive transformation at scale since everyone participating in that world speaks the same way. In the world of occupational standards, they are the common language across academia, industry and government to drive talent transformation at scale since everyone is able to use the standard definition to define a job, skill or proficiency level.
India is expected to have 104.62 million fresh entrants in the labor market by 2022. However, a report by Labor Bureau suggests, that the present skilled workforce in India is only 2.3 percent, much lower than the developing nations like Korea (96%), Japan (80%), Germany (75%) and the UK
(68%).2 Is this because India simply lacks skilled manpower or is it because we have simply not been able to count the number of skilled manpower we have as well as the other countries have? The lack of common definitions and classifications, one of the most important applications of Occupational Standards, could be a major reason.
Who creates Occupational Standards?
The creation of the National Policy on Skill Development in 2009 was a defining moment in India’s approach to skill development as it introduced fundamental changes in the way vocational education was approached in the country. Several crucial steps such as developing the National Skills Qualification Framework (NSQF), setting up Sector Skill Councils (SSCs) for each industry and sector, and creation of NOS, have been undertaken in the past few years.
Explaining QPs and NOSs
NSDC has created 38 Sector Skills Councils (SSCs) which are responsible for the creation of job standards or Qualification Packs (QPs) for every job role in their respective industry or sectors. A QP for a job comprises a set of National Occupational Standards (NOS) aligned to a job role.
The NOS specify the standards of performance, knowledge and understanding when carrying out a particular activity in the workplace. The definition and description of the QPs drive the creation of training curriculum for that job role and assessments linked to that curriculum. It was found that, at times, QPs can be restrictive since companies like to define their job roles to fit their organization structure. NSDC has therefore allowed for NOS based certifications. Think of a QP like a loaf of bread and NOSs as slices. It is possible to select different ‘slices of bread’ to make up a ‘custom loaf’. This modular structure of NOSs and QPs can allow organisations to either use a QP as it is or build their own using a combination of NOSs.
Taken together, NOS describes occupational competence, and can be used to undertake needs assessment, benchmark Indian standards with other countries, develop model curriculums and content based on the national standards, carry out assessment and certification, undertake affiliation of training partners, and measure quality of execution of any step in the skill development ecosystem.
For more details, click on the link below and download Leveraging Occupational Standards to Drive Skilling at Scale
Contributors: Kirti Seth-Lead, NASSCOM FutureSkills | Reema Aswani, Research Lead, NASSCOM FutureSkills
NASSCOM would like to acknowledge the valuable contributions of Benori Knowledge Solutions for helping us build this whitepaper
Data warehouses and Business Intelligence (BI) tools support reporting and analytics on historical data while data lakes support newer use cases that leverage data for machine learning, predictions, and real-time analysis.
At Qubole, we have worked with more than 300 market-leading companies to address their data platform needs and based on our experience, we can net the differences between the two technologies to the following points:
Data warehouses are purpose-built and optimized for SQL-based access to support BI but offer limited functionality for streaming analytics and machine learning. They are constrained by the ETL requirement to pre-process data prior to storing it. This makes it impractical, costly, and time-consuming to ingest data in real-time, or streams of data.Machine Learning:
While some data warehouses extend their SQL-based access to offer machine learning functionality, they do not offer native support to run widely available, programmatic data processing frameworks such as Apache Spark, Tensorflow and more.
In contrast, data lakes are ideal for machine learning use cases. They not only provide SQL-based access to data but also provide native support for programmatic distributed data processing frameworks like Apache Spark and Tensorflow through languages such as Python, Scala, Java and more.Streaming Analytics:
Stream analytics enables the ingestion, processing, and analysis of data in real-time without requiring data to be stored prior to analysis. Unlike other forms of data, the value of streaming data diminishes with the passage of time.
Data warehouses require sequential ETL to ingest and transform the data prior to its usage for analytics, and hence they are inefficient for streaming analytics. Some data warehouses support “micro-batching” to collect data often and in small increments. This stream to batch conversion increases the time between the arrival of data to its use for analytics making data warehouses inadequate for many forms of streaming analytics.
Data lakes support native streaming where streams of data are processed and made available for analytics as it arrives. The data pipelines transform the data as it is received from the data stream and trigger computations required for analytics. The native streaming feature of the data lake makes them highly suitable for streaming analytics.Continuous Data Engineering:
Data warehouses support sequential ETL operations, where data flows in a waterfall model from the raw data format to a fully transformed set, optimized for fast performance,
In contrast, Data lakes are exceptionally strong for use cases that require continuous data engineering. In data lakes, the waterfall approach of ETL is replaced by iterative and continuous data engineering. The raw data that lands in a data lake can be accessed and transformed iteratively via SQL and programmatic interfaces to meet the changing needs of the use case. This support for continuous data engineering is critical for interactive analytics and machine learning.Diversity Of Data Types
With the proliferation of new types of data including IoT, social, geo-spatial, multi-media, click-stream and log data, the nature of data that we collect and use has greatly diversified. This new type of data that we generate and collect today includes semi-structured data with a partial or frequently changing structure and unstructured data with no defined structure.
The data warehouse, invented in late 1980, was designed for highly structured data generated by business apps. In fact, the data warehouse architecture relies on the structure of the data to support highly performant SQL (Structured Query Language) operations. Some newer data warehouses support semi-structured data such as JSON, Parquet and XML files, they provide limited support and diminished performance for such data sets compared to structured data sets. Data warehouses do not support the storage of unstructured data.
Data lakes support native storage of all three data types – structured, semi-structured and unstructured. Structured data is ideally suited for traditional Business Intelligence, while semi-structured and unstructured data is useful for deeper analytics and machine learning.Open Vs Proprietary Data Formats
The data warehouse stores the data in a proprietary format. Once the data is stored in the data warehouse, access to this data is limited to SQL and any custom drivers provided by the data warehouse. Some data warehouses can store XML, ORC and Parquet files however these files are vendor locked and available through access mechanisms supported by the data warehouse.
In contrast, the data lake stores data in an open and standard format preventing any proprietary lock-in of data. An open data lake ingests data from sources such as applications, databases, data warehouses, and real-time streams. It stores this data in an open format, such as ORC and Parquet, that is platform-independent, machine-readable, optimized for fast access and analytics and made available to consumers without restrictions that would impede the re-use of the data.
Open data lake supports data access through the standards-based implementation of SQL with no proprietary extensions. It enables external tools to access that data through standards such as ODBC and JDBC. Also, the open data lake supports programmatic access to data via standard programming languages such as R, Python, and Scala and standard libraries for numerical computation and machine learning such as TensorFlow, Apache Spark, MLib, MXNet, Tensorflow, Keras, and SciKit Learn.
An Open Data Lake stores the data in an open format preventing vendor lock-in. Data can be safely ported to any platform on any cloud that can read the open data format.Conclusion
The increase in volume, velocity, and variety of data, combined with new types of analytics and machine learning is creating the need for an open data lake architecture. Across our customers including market leaders like Expedia, Disney, Adobe and more, we find that open data lake is becoming a common feature alongside the Data Warehouse. While the data warehouse has been designed and optimized for SQL analytics, the need for an open, simple and secure data lake platform, that can support new types of analytics and machine learning is driving the open data lake adoption. Unlike the data warehouse’s world of proprietary formats, proprietary SQL extensions, proprietary metadata repository and lack of programmatic access to data, the open data lake prevents vendor lock-in while supporting a diverse range of analytics. The open data lake provides a robust and future-proof data management paradigm to support a wide range of data processing needs including data exploration, interactive analytics, and machine learning.
This blog was first published on https://www.qubole.com/
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If digital technologies ushered in the Ind 4.0 revolution, the COVID-19 pandemic is pushing this industrial revolution into a completely new orbit. Manufacturing has been the most severely affected of industries with the aftershocks being felt right from procurement (supply chain disruption) to production (lockdown) to sales (demand vaporization) to after sales (changing consumer demographics).
Organisations would need a radical re-think of their strategies and business models in order to adapt to a post-pandemic world. Already, there a multitude of examples of how companies across verticals have successfully adapted their ways of working in response to the COVID-19 pandemic:
As goalposts shift, we expect digital technology to play a fundamental role in this transition. We anticipate digital technology adoption to accelerate; however, we may see a recalibration of digital priorities:
It is imperative for the ER&D industry to adapt their investments in line with the way the customers are changing.
In this context, @NasscomR is organising a webinar on ER&D industry: Post COVID-19 Recalibration to explore how the future manufacturing enterprise is expected to evolve and hence, what organisation level changes will the ER&D industry need to undergo to stay relevant and competitive in this next normal.
This webinar aims to answer these key questions:
Date: July 16th 2020
Time: 8.30 pm to 10.00 pm (IST)
Register here: https: //tinyurl.com/yb6bqquz
Organizations will now look at cybersecurity from a completely different standpoint. It was already a major topic for boardroom discussion and now with all of this, it will be even more so. In the drive towards modernization of IT, cybersecurity is now an integral part.
After being associated with leading technology and security organizations for 26 years, Mr. Argha Bose is presently working with Tata Advanced Systems Ltd. as the Head – Cyber Security and Risk Business. Previously he has worked with CA Technologies as Sr. Director; managing Global Services Delivery business and prior to that, he has also successfully established the IAM practice at HCL Technologies. He has been an effective professional amalgamated with several successful high growth organizations. He has a Masters degree in Cyber Law and Cyber Security, a Certified Blockchain Expert and has acquired certificates like CISM, CISSP to name a few.
This is a very different angle to leadership and business as we see often. It is clear that with greatly enhanced connectivity and remote working requirements, the focus on cyber security will be at an altogether different level. We were fortunate to catch up with him over a virtual luncheon session, and he was kind enough to share his insights.
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