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How is AI Shaping the Indian Job Market?

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How is AI Shaping the Indian Job Market?

Currently, startups focusing on Artificial Intelligence, Machine Learning and Deep Learning are on the rise in India. According to a recent report by AI Task Force, there are 750 startups in India that are actively working to build a robust AI ecosystem in India. Initiatives to promote AI by Indian government include establishment of NITI Aayog, the policy think tank of India, and Digital India, which is a campaign to improve technological infrastructure of the country.

65% of participants of a PwC survey believed that AI will have a grave impact on the employment scenario of India. Interestingly, the majority of participants of this survey were of the opinion that AI will allow employees to do more value-added tasks as it will take up all the daily mundane tasks.

Deep Learning and AI using Python

Job market outlook:

‘’We expect a 60 per cent increase in demand for AI and machine learning specialists in 2018’’, said BN Thammaiah, Managing Director, Kelly Services India. Belong, a Bengaluru-based outbound hiring firm startup, shares the same view, stating that the demand for AI professionals has risen by leaps and bounds due to the widespread adoption of AI and automation technologies across companies. Consulting industry leader, Accenture, expects AI to add $957 to India’s GDP by 2035.

Jump in demand:

Only 4 percent of AI professionals have work experience in core domains, like deep learning and neural networks.

For every 1000 jobs in the field of Deep learning, there are approximately 530 professionals available. Similarly, for every 1000 jobs in the field of Neuro-linguistic Programming (NLP), there are only 710 professionals available.

The lack of core data science disciplines in engineering institutes across the country is responsible for the disparity between demand and supply of AI professionals. Only a few selected institutes, like IITs and IISc, have ML programs in their curriculum. The active AI researchers in India are a meager 386 in number.

AI hotspots in India:

AI-work hubs in India are Bengaluru, New Delhi and Mumbai. IBM, Microsoft, Flipkart and Amazon are carrying out good research work in AI. Companies like Adobe, Accenture, Amazon, JP Morgan, SAP, L&T Infotech, Nvidia, Intel and Wipro are actively hiring AI professionals. The main sectors fostering AI employment are e-commerce, banking and finance. Kamal Karanath, Co-founder of Xpheno, a recruitment company, said that there would be a huge demand for AI engineers in these sectors in the next 5 years. AI-powered technology boosts efficiency and security of Indian banking and financial sector.

India Inc is endeavoring to upskill workers in subjects like machine learning, cloud computing and big data. In efforts to nurture talent and obtain solutions from vertical focused AI startups, which are developing innovative technologies, enterprises have set up many accelerator programs. Flipkart is developing AI products that will boost their business growth.

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A peek into the future of AI:

The Indian government intends to establish research institutes and Centres of Excellence that foster training and skilling in fields like AI, robotics, big data analysis and internet of things. Top engineering schools, like IITs, IIITs and IISc are collaborating with industries to bridge the gap in AI talent, provide targeted solutions and steer growth of the AI industry. Government of India is framing numerous policies to promote industry-academic partnerships.

Get an edge in this AI-era by enrolling yourself for the Machine Learning training course at DexLab Analytics– a leading data analyst training institute in Delhi.

 

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Evolving Logistics Scenario: The Tech-driven Future of Logistics Industry

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Customer expectations are growing by the day; they are demanding faster and more flexible deliveries at minimum delivery costs. Businesses are being pressurized to customize their manufacturing processes as per customer demands. This is a hard slog for the logistics industry, which has to keep delivering better services but for lower prices.

The logistics industry can only achieve this through ‘digital fitness’. It has to make intelligent use of the global wave of digitization, including data analytics, automation and ‘Physical Internet’. The Physical Internet is an open global logistics system that is transforming the way physical objects are handled, moved, stored and supplied. It aims towards the replacement of current logistical models and making global logistics more efficient and sustainable. The Physical Internet promises better standardization in logistics operations, including shipment sizes, labeling and systems.

The central theme in logistics sector is collaborative working, which enables market leaders to retain dominance.

Now, let us take a look at a few tech-driven domains that will shape the future of logistics.


The future of Logistics Lies in IoT

Internet of Things has been the most innovative technology of the present era. It has the potential to revolutionize the logistics sector. The key benefits of IoT with regard to logistics are:

  • Real-time alerts and notifications
  • Automate processes that gather data from various machines
  • Automate vital operations like inventory management and asset tracking: With the help of IoT, companies can improve tasks like tracking orders, determining what items need to be stocked up and how certain products are performing.
  • Able to function without any human interventions.
  • Logistic companies can provide safer deliveries
  • Enable the regulation of temperature and other environmental factors.

IoT will be advantageous for the entire logistics sector, including fleet and warehouse management, and shipment and delivery of products. IoT can help companies dealing with cargo shipments by improving visibility in the delivery and tracking of cargo.

Warehouse Automation

Warehouse automation is set for a major overhaul. Online shopping is thriving and logistics, especially warehouse operations, need to be more refined and speedy. Warehouse operations of many e-commerce giants are undergoing a robotics makeover. According to reports, the market for logistics robotics, which had generated revenues worth 1.9 billion USD in 2016, is likely to generate sky-high revenues worth 22.4 billion USD this year.

The advancements in robotics include programming robots to pick and pack goods, load and unload cargo and at times deliver goods too. Employing robots speed up the processes of data collection, maintaining records and managing inventories.  Most importantly, robots leave no room for human errors in the processes.


Blockchain Technology in Logistics

The growth of crypto-currencies like Bitcoin has popularized blockchain technology. Blockchain being a type of distributed ledger technology provides secure, traceable and transparent transactions. Blockchain technology employed by logistics firms will improve customer visibility into shipments and help prevent data breaches.

In the present times, logistics is considered the backbone of a stable economy. Thus, for India to emerge as a superpower, the logistics market needs to be developed and integrated with state-of-the-art technologies. Conducive policies and a healthy partnership between private and public sector is crucial to steer India into an era of competent and cost-effective business operations.

In times to come, automation will transform every industry. Don’t be left behind. Get an edge by enrolling for the data science and machine learning certification course at the premier data analyst training institute in Delhi– Dexlab Analytics.

 

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Facial Recognition Technology: Where Opportunities are Endless and Science is Terrific

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Facial Recognition Technology: Where Opportunities are Endless and Science is Terrific

We are on the verge of the Fourth Industrial Revolution – where massive amounts of texts, tweets, photos, videos, status updates, GPS coordinates, reposts and clickstreams are being pumped out into the digital universe. This data is like the food for colossal artificial intelligence.

If we talk about resources, the ocean that AI-induced data has filled up is nothing if compared to California gold rush, Texas Oil boom or similar events. Huge amounts of data are clogging the digital space all over. Algorithms, based on AI are driving innovation in every field of work, right from products to services, and the more data you possess, the more accurate the algorithm is expected to be. As a result, collection and analysis of big data have become a prime focus of companies, big and small.

Introducing Deep Learning

But how does this mammoth AI works? How does it digest this amount of data? Of course through interconnected, high-end devices powered by embedding “eyes”, named as Deep Learning. These artificial neural networks work on the principle of machine learning algorithms and simulate the complex structure of human brains. Employing mammoth data pools and lakes, deep learning determines and interprets intricate patterns, just the way humans do. In fact, some of the artificial neural networks are so adept at incorporating these patterns that they can even mimic the manner in which humans recognize faces.

DeepFace:  A Stiff Competitor of Human Brain

In terms of facial data, Facebook is the largest reservoir of facial data, and back in 2015, it came out with a cutting edge version of “tag photos” feature, DeepFace – it features a nine layer neural network that resembles characteristics in individual photographs with 97.25% accuracy. This fabulous technology not only connects your name with your face, but it can easily pick you out of a crowd, and the figure says a human brain is only 0.28% more effective than DeepFace.

Of late, Facebook has acquired a new patent, “Techniques for emotion detection and content delivery,” – it helps in capturing user’s facial expressions through the camera in real time while they scroll across their feed, recording their emotions for various content. This new-age technology can not only customize your Facebook feed, but can also link numerous live in-store cameras for a better shopping experience, piling up data from Facebook and determining the shopper’s present mood and preference.

Facebook and Beyond

Though Facebook is dominating the waters of facial recognition, there are several other companies that are trying their luck into this domain. Ebookers, a sub-site of Expedia has launched a tool named SenseSational, which employs real time facial recognition software to monitor users’ faces, while they peruse over images and sounds that appeal to the senses.

On the other hand, Singapore Technologies Electronics is using facial recognition technology to identify the faces of commuters, as they walk across fare gates and charges their prepaid account respectively. No longer the commuters have to show their fare card while standing in queue; thus it eases the crowd buildup during rush business hours.

In conclusion, companies can anytime look up to deep learning from any angle. The giant of artificial intelligence is forever hungry, you can feed it with data whenever you like, and see it expand and flourish.

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Let’s Take Your Data Dreams to the Next Level

The original article first appeared on – https://www.entrepreneur.com/article/311228

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Reigning the Markets: 4 Most Influential Analytics Leaders of 2018

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Data analytics in India is grabbing attention. Data and analytics, together, they play a key role in delivering business opinions, which are high-yielding and relatively new. At the helm of such robust data analytics growth are leaders from numerous organizations who introspect into data to conjure up decisions as a seamlessly as possible. They are masterminds in the world of data analytics.

Reigning the Markets: 4 Most Influential Analytics Leaders of 2018

Here, we will talk about 4 most influential analytics leaders who acted as pioneers of bringing in newer technologies and life-changing innovations into the field of analytics, machine learning, artificial intelligence and big data across diverse domains.

Debashish Banerjee, Managing Director, Deloitte Analytics

With 17 years and more experience in predictive modeling, data analytics and data science, Mr. Banerjee’s extensive contribution in the fields of actuarial risk, data mining, advanced analytics and predictive modeling in particular is phenomenal. He started his career with GE, and initiated and headed insurance analytics, pricing and reserving team of GE, India – one of the firsts in India.

In 2005, he shifted to Deloitte with a mission to initiate the advanced analytics and modeling practice in India, through which he manages and offers leadership support to the Deloitte Consulting’s Data Science practices that stresses on AI, predictive modeling, big data and cognitive intelligence. He mostly worked in marketing, customer and HR domains.

Let’s Take Your Data Dreams to the Next Level

Kaushik Mitra, Chief Data Officer and Head of Big Data & Digital Analytics, AXA Business Services (ABS)

Experienced for over 25 years in integrating analytics, technology and marketing worldwide, Kaushik Mitra dons a lot many hats. Besides assuming leadership roles for diverse domains, like AI, analytics, data science, business intelligence and modeling, Mr. Mitra is at present involved in driving an array of data innovation coupled with technology restructuring in the enterprise, as well as coordinating GDPR implementation in ABS.

Before joining ABS, he worked with Fidelity Investments in Bangalore, where he played a pivotal role in establishing their data science practice. Armed with a doctorate in Marketing from the US, he is a notable figure in the world of analytics and marketing, along with being a frequent speaker in Indian industry networks, like NASSCOM and other business forums.

Ravi Vijayaraghavan, Vice President, Flipkart

Currently, Ravi Vijayaraghavan and his team are working on how to leverage analytics, data and science to improve decision-making capabilities and influence businesses across diverse areas within Flipkart. Before joining Flipkart, he used to work as Chief Data Scientist and Global Head of the Analytics and Data Sciences Organization at [24]7.ai. It was here that he created, developed, implemented and optimized machine learning and analytics driven solutions. Also, he held important leadership portfolios at Mu Sigma and Ford Motor Company.

Deep Thomas, Chief Data & Analytics Officer, Aditya Birla Group

“Delivering nothing but sustained and rising profitability figures through potent digital transformation and leveraging data, business analytics, multi-disciplinary talent pool and innovative processes” – has been the work mantra of Deep for more than two decades. Being the Chief Data & Analytics Officer for Aditya Birla Group, he spearheads top of the line analytics solutions and frames organization-wide initiatives and tech-induced programs to enhance business growth, efficiencies and productivity within an organization.

Initially, he headed Tata Insights and Quants, the much acclaimed Tata Group’s Big Data and Decision Science Company. Apart from this, he held a variety of leadership positions in MNCs like Citigroup, HSBC and American Express across US and India to boost global digital and business transformation.

This article has been sourced from – https://analyticsindiamag.com/10-most-influential-analytics-leaders-in-india-2018

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How India is driving towards Data Governance

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Data is power – it’s the quintessential key to proper planning, governance, policy decisions and empowering communities. In the recent times, technological expansion is found to be contributing immensely towards ensuring a sustainable future and building promising IT base. Robust developments in IT related services have resulted into key breakthroughs, including Big Data, which as a result have triggered smooth data governance.

How India is driving towards Data Governance

According to a NASSCOM report, India’s analytics market is expected to grow from $1 billion to $2.3 billion in the year 2017-18. However, the fuller benefits of data analytics are yet to be channelized by the public sector.

In a varied country like India, data collection is a lengthy procedure. At present, information is being collected by various government departments straight from Panchayat levels to state levels. Though, most of the data remains trapped within department walls, it is largely used to pan out performance reports. Also, certain issues in timely collection of data pops up, while sometimes the quality of data collected becomes questionable, hence delaying the entire analysis.

 

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Quality data plays an integral role, if analyzed properly at the proper time. They can be crucial for decision-making, delivery of services and important policy revisions. As a matter of fact, last year, Comptroller and Auditor General (CAG) initiated Centre for Data Management and Analytics (CDMA) to combine and incorporate relevant data for the purpose of auditing. The main purpose here is to exploit the data available in government archives to build a more formidable and powerful Indian audit and accounts department.

Indian government is taking several steps to utilize the power of data – Digital India and Smart Cities initiatives aim to employ data for designing, planning, managing, implementing and governing programs for a better, digital India. Many experts are of the opinion that government reforms would best work if they are properly synchronized with data to determine the impact of services, take better decisions, boost monitoring programmes and improve system performances.

Open Data Policy is the need of the hour. Our government is working towards it, under the jurisdiction of the Department of Information and Technology (DIT) to boost the perks of sharing information across departments and ministries. Harnessing data eases out the load amongst the team members, while ensuring better accountability.

Tech startups and companies that probe into data and looks for solutions in data hoarding and analytics to collect and manage complicated data streams need to be supported. The government along with local players should encourage citizens to help them in collecting adequate information that could help them in long-run. India is walking towards a rapid economic development phase, where commitment towards information technology, data governance and open-source data is of prime importance. For the overall economy, bulk investments in capacity building, technology implementation and data-facilitating structures should be considered and implementable to bring plans and participation into place to hit off a better tech-inspired reality.

For data analyst certification in Delhi NCR, drop by DexLab Analytics – it’s a prime data science online training centre situated in the heart of Delhi.

The original article appeared on – https://economictimes.indiatimes.com/small-biz/security-tech/technology/indias-investment-in-big-data-will-ensure-governance/articleshow/57960046.cms

 

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How to Develop a Data-Driven Culture among the Employees and Organization?

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Data creation and consumption is exploding. So is the challenge of analyzing data and transforming it into actionable insights.

How to Develop a Data-Driven Culture among the Employees and Organization?

The expert consultants at IBM say – 90% of the data in the world has been created in the last couple of years at a rate of 2.5 quintillion bytes per day. Just imagine, when such gold mines of information go unused, what toll does it take on companies who harbors them? The loss is insurmountable, isn’t it? 

But the question that makes us brood is how do companies empower employees to use such vast pools of data to reveal hidden business insights?

To keep pace with an accelerating growth of data generation and robust competitive landscape, new age companies need to shift their focus to sound Business Intelligence solutions that helps in collecting and analyzing data to determine patterns and alert users, in case of anomalies in the nature of business. And the good news is that they are doing so.

Once companies start off with data handling and data mining, the issue of utilization needs to be addressed next – the trickiest problem with data utilization is the insights that take place within the departments –while creating data silos. Siloed data results in creating a lot of issues, but the larger one is that it creates only a partial view of whatever is happening within an organization and a bigger picture is not available.

As a result, a data-driven culture is to be adapted – but how?

 

Let’s Take Your Data Dreams to the Next Level

Right from the top-level

The true DNA of any organization lies within its top-level management team, including the founders and managing directors – and that’s where the foundation stone of data-driven culture should be implanted. Implementing something new and offbeat is intimidating, but when the company leaders promote it, the idea gains familiarity and merges with other data-driven decisions.

Empowerment

Employees need to feel empowered – then only they can independently mine data and share crucial findings with colleagues and seniors without asking for help from the IT guys. A common misconception that exists around is that data analytics is a cumbersome task which requires heavy involvement from IT- but in reality, things are changing – BI tools are being revamped to make users more independent and self-sufficient to take better business decisions.

Time and again, it’s important for the executive management to show some token of appreciation to employees for their hard work. It is in these subtle ways the data-driven culture gets promoted across company walls.

 

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Sharing is caring

Now, the data siloes come into the picture. Once employees are comfortable with using data and bearing the fruits of success – insights need to be shared across the business fronts to draw a much larger picture.  Not only it promotes cross-team and departmental collaboration, but also brings in newer data into the limelight that wouldn’t have been possible before. Hence, sharing of insights is crucial for business success.

From the above discussion it is clear, insights gained from data is extensively beneficial for business, as they offer new answers for innovation and development. However, achieving data nirvana is no mean feat – the steps highlighted above should be followed, and then only the companies would be able to achieve their desired goal, i.e. a seamless data-driven culture.

Accelerate your career with business analyst training Delhi NCR. DexLab Analytics offers 360-degree Data Science Online training in Delhi – interested candidates please visit the website.

Sources: http://dataconomy.com/2017/05/data-nirvana-develop-data-driven-culture

5 Ways to Grab the Hottest Job in Town

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Even though it’s expected that the unemployment rate will follow a steep decline, yet finding the right job can still be challenging enough. On the other hand, hiring the right candidate is also an equally difficult task.

 
5 Ways to Grab the Hottest Job in Town
 

At times, it may seem your job search not working. You are sending resume after resume for matching job positions, but nothing fruitful is coming out. Then you start giving it a thought, why is this happening? How come, others are getting new gigs and you are stuck in the same mundane job or still looking for one!

 

In some cases, you might need to learn new skills or receive any particular kind of training, but in a majority of cases there are plenty of normal things that you can do to boost your candidacy. Some are right here, please take a look:

 

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Make your LinkedIn Profile attractive as much as possible

Internet is everything now. Probably, you have been busy devoting a lot of time on building a powerful resume, but instead you should create a good, powerful LinkedIn profile with updated information. Having an optimized profile helps you gain the interest of notable recruiters who are in search for people like you. Include a summary, a headline, a photo and specializations, so that it pleases anyone who visits your profile.

Be a complete standout

A promising candidate should have all the attributes of being competent, adaptable, flexible, collaborative and influential. Flexibility is the key to success and a fuller career.

Do your homework before interview

Culture fit is essential.  A certain skillset can be taught, but the zeal to do homework on the company you are going for an interview cannot be taught. That you have to develop on your own. Recruiters appreciate people who do homework on the respective company and frame answers about how they can be an asset to the company. It’s always advisable to do your homework. Applicants whose answers are down to earth, authentic and show passion stands out in any interview.

Go get a personal website

The best way to impress your employers or recruiters is by having a personal website – with just one URL, you can allow hiring managers derive a whole lot of information about yourself and your work. And if you are looking forward to change your career path, you can flaunt your new passion in a great way on your personal platform.

Tap into your network

Every company receives a lot of internal referrals for recruiting and some of them are quite successful. Through this procedure, they make it sure that they find the right candidates for designated job positions. Hence, networking matters – let your network know what kind of job you are looking for. You never know which conversation will lead you where – because here every interaction is seen as an opportunity. So, just don’t waste it in vain.

 


 

Today, jobs in the field of data science and big data are flourishing. More and more interested candidates are getting trained to join the bandwagon of data analytics. DexLab Analytics is a premium data science learning platform that offers in-depth training on all major data related in-demand courses. Their data science training online is excellent. Get all the details from the website.

 

Interested in a career in Data Analyst?

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Technology is Bringing off the Best for Students, Here’s how

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Technology is omnipresent. And when it comes to imparting engineering education, technology is the meat and potatoes. Gone are the days of traditional teaching methods practiced within the walls of a classroom, following a set of particular curriculum. They have become a history. These days, technology-powered smart classes are in – they keep students enticed and hooked into learning. Laptops, smartphones and tablets have made gaining access to knowledge anywhere anytime downright easy. Not only that, access to education has enhanced versatility in the form of videos, audios and images that are available right at our fingertips through smartphones and tablets.

 
Technology is Bringing off the Best for Students, Here’s how
 

Technology is taking a new shape, each day. None other than ace modern engineers and scientists understands this better, and as a result, they try adopting innovative technologies for better, powerful future harnessing newer opportunities.

Continue reading “Technology is Bringing off the Best for Students, Here’s how”

5 Things to Consider While Using Data for Artificial Intelligence

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Data is the most influential strategic asset for companies in a data-powered economy. Data is used to measure the ability of a business to perform notable tasks and operations, and draw significant insights through complex machine learning algorithms.

5 Things to Consider While Using Data for Artificial Intelligence

Gaining access to data is not a problem; but the real issue lies in having the right kind of data that helps companies remain on edge. A large number of them don’t even realize they are supplied with chunks and chunks of bad data, punched with wrong formatting, plenty of duplicates, having missing fields or irrelevant information.

Continue reading “5 Things to Consider While Using Data for Artificial Intelligence”

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