Loading...

Follow Eckovation on Feedspot

Continue with Google
Continue with Facebook
or

Valid
Eckovation by Himanshu Agrawal - 1M ago

JDA Software and KPMG LLP recently published a wide-ranging survey regarding supply-chain technology. The main takeaway: end-to-end visibility is the No. 1 priority. But in order to make this a reality, the survey also notes that AI (Artificial Intelligence), machine learning (ML) and cognitive analytics will be critical.

Some of the ways in which AI can be used to impact Supply Chain:

The System Must Read Signals and Manage Billions of Pieces of Information: You need to process as many signals as possible to get a complete picture, such as weather events, temperatures, social trends and so on. For example, by using weather forecasts and port congestion data, it’s possible to predict the impact on freighters in route and determine which shipments will be late — and the captain may not even know what’s happening!

Or take another example: Let’s say an ice storm halts traffic on I-75 in Ohio. By using AI signals, you can answer questions like: What is every possible transit alternative and at how much added time or cost will there be? How will expediting some deliveries during the storm mess with the rest of the supply chain?

The System Must Look Into The Future: Rules-based approaches are too brittle to provide solid forecasts. In fact, these systems may do more harm than good.

“To help companies draw the right conclusions from the data they gather,” said Michael, developer of NeuroBayes algorithm, “businesses need to apply ML and AI technology designed to grasp the oncoming impacts of what’s happening everywhere in the moment and predict how demand and supply will look in the future. That means having algorithms that can evolve over time.”

He points to the following: Suppose you are doing assortment planning in a retail business. The traditional approach is to forecast sales based on prior history and trends. “A retailer may always send one style of athletic shoe to the Midwest because they know the sales history and the product does well there,” said Michael. “But with ML and AI, there is now the ability to blend external and internal data to predict demand and areas for growth. If retailers take an index and predict where customers are most concentrated, that data can help them figure out where to ship the athletic shoe to maximize their sales.”

The Technology Must Overcome Human Nature: So long as the data is correct and the algorithms appropriate, then an AI system will learn and react to ensure that the orders and price points remain in line with a probability that keeps a business both stocked and efficient.

“However, as humans, our instinct is to fix things ourselves, especially if it’s an area we have been tasked with overseeing,” said Michael. “The autonomous supply chain requires us to discard pride, ego and personal bias and trust the technology. As trust in the system’s recommendations increases, a greater and greater portion of decisions can be made automatically by the system, without human intervention. This will allow the professionals to focus their time and effort on problems that only they can solve.”

The post How AI is Transforming Supply Chain appeared first on Engineering.

Read Full Article
  • Show original
  • .
  • Share
  • .
  • Favorite
  • .
  • Email
  • .
  • Add Tags 

Demand for tech staff who specialise in cybersecurity is increasing rapidly, with a 15 percent increase in job ads for workers with this skill set between 2017 and 2018.

The job title with the most demand is that of ‘IT security specialist’, which has nearly three times as much demand among employers as the second-placed ‘security engineer’, according to the data compiled by recruitment website Indeed.

While IT security specialist is the role most advertised, at £45,722 it’s not the highest paying of the top five jobs; IT auditor with an average salary at £58,328 is the top payer.

Looking more broadly, Indeed said the job with the fastest growing demand in the UK is that of ‘IT engineer’, which covers IT support roles such as installing and maintaining equipment and software, as well as troubleshooting. Also in its top 10 fastest growing jobs in the UK is ‘mobile developer’, which it said includes Front End, Android, iOS and .NET developers.

Image: Indeed

The research also found that the big consulting firms such as KPMG and PwC are among the UK’s top recruiters when it comes to cybersecurity roles. The other 20 top companies looking for security expertise, according to Indeed, include telecoms companies, finance and tech firms, and retail giants.

“It’s telling that many large organisations now talk of ‘critical’ infrastructure rather than ‘IT’ infrastructure. Every aspect of a modern company relies on its IT, and the growing threat of cyber attack and tightening of privacy laws means demand is rising fast for professionals who are able to protect companies’ most precious information,” said Bill Richards, Indeed’s UK managing director.

Security roles are not the only tech jobs where salaries are rising: research released earlier this month showed that salaries for in-demand programming skills are rising rapidly. Java programmers have seen the biggest rise  — 41 percent — over a three-year period.

The post Cyber Security: These Skills will get you the Largest Pay Check appeared first on Engineering.

Read Full Article
  • Show original
  • .
  • Share
  • .
  • Favorite
  • .
  • Email
  • .
  • Add Tags 

Srijan Gupta, Architect, Dream11 is here to give key insights on how one can kickstart their career in the field of Full Stack Development.

This Eckovation’s Full Stack Workshop video on “Career in Full Stack Development“ will provide you with detailed and comprehensive knowledge about how you can build your career in Full Stack Development. It will provide you with the in-depth knowledge of the different types of Full Stack Development with the different skills that lie under each category.

In the tutorial, we’ve covered the following topics: 1. About the Speaker 2. What is Full Stack Development 3. Why Full Stack Development 4. What’s in it for you as a Full Stack Developer 5. Skills Required to Become a Full Stack Developer

Career in Full Stack Development | Skills, Career Path | Srijan Gupta | Dream11 | Eckovation - YouTube

Know more about Eckovation’s Full Stack Development certification: http://bit.ly/FULLSDEV

About the Full Stack Development Certification Course: This course helps you develop applications using Node.js & ReactJs and deploying them to AWS (the world’s most popular cloud platform!) You will be getting complete know how of Javascript, ES6, NPM, Gulp, Grunt, ExpressJS, Asynchronous Programming, JWT, Socket.IO, MongoDB and Unit Testing, all from the basics!

So no prior programming experience is required! In addition to complete knowledge of Node.js, this course gives you complete knowledge of ReactJs. Complete tutorials on ECMAScript 2015/ES6 , is included in the course! The latest and major upgrade to Javascript language!

Instructors supported by group of experts will be live 24×7 to handle your doubts effectively! By the end of this course, you will be building 5 real live applications!!

An entry-level salary for the technologies covered in this track is about Rs. 8,00,000 / yr on average. Some companies that use these technologies regularly include: PayTM, JP Morgan, Myntra etc. The course is taught by 2 most experienced developers with Node.js having more than 5 years of development experience and have scaled various servers to more than a million (1,000,000) hits a second!

The post Career in Full Stack Development | Skills, Career Path | Srijan Gupta | Dream11 appeared first on Engineering.

Read Full Article
  • Show original
  • .
  • Share
  • .
  • Favorite
  • .
  • Email
  • .
  • Add Tags 

Union HRD Minister Prakash Javadekar stated in the Lok Sabha that from now, at least three internships will be made compulsory for engineering students across the country.

These internships are to be of four to eight weeks and are to take place during graduation. This has come in the wake of declining rate of employment among engineering graduates.

Union HRD Minister Prakash Javadekar | Source: PTI

The minister has also asserted that it will be the responsibility of colleges to provide internships to the students.

Till now, engineering students were required to do at least one internship during their course but as per government data, only five per cent of colleges actually give this chance to its students.

Besides students, teachers will also have to go through a compulsory annual refresher course to keep themselves updated with the latest developments in their respective fields. They also have to take up online courses offered on government’s SWAYAM portal.

Reason behind compulsory internships

The minister has stated that as per AICTE data, out of 15.87 lakh students at 10,328 technical institutions, only 6.96 lakh students get placements. According to him, the prime reason for low employment rate among engineering graduates is lack of basic skills which the industry demands.

The HRD minister has also stated that their aim is to increase student placements from the current 40 percent to 60 percent.

Till now, engineering students were required to do at least one internship during their course but as per government data, only five per cent of colleges actually give this chance to its students.

For this reason, students have resorted to other modes of acquiring internships such as Eckovation.

Here are the most in-demand internships that students are pursuing:

1 Machine Learning Value Package Click Here
2 Data Science Click Here
3 Programming Value Package Click Here
4 Robotics Certification (with kit) Click Here
5 MATLAB Certification Course Click Here
6 Full Stack Web Development Click Here
7 Big Data Hadoop Click Here
8 CATIA Click Here
9 3D Design and Simulation Click Here
10 Internet of Things(IoT)(with kit) Click Here

The post Why HRD Ministry Has Made Three Internships Compulsory For Engineering Students appeared first on Engineering.

Read Full Article
  • Show original
  • .
  • Share
  • .
  • Favorite
  • .
  • Email
  • .
  • Add Tags 

Can a machine tell you which movie you’re going to like watching next? Can it call a restaurant to make a reservation for you? Can its driving be safer than yours? Of course!

Today, these artificially intelligent (AI) machines are doing a great job at simulating human intelligence. AI has been helping us to make more informed decisions, lending us a hand in our day-to-day chores, and has made our lives a lot easier.

Even though there’s been a lot of progress in the field of AI, the intelligence of these machines is still weak. That is because Siri will land you up in a car crash faster than you can say “unfair”, and Tesla may as well drive you safely to a restaurant where a two-hour queue awaits. Each can perform only the task it has been taught to do. This is called Applied AI.

So, doesn’t that mean there are other kinds of AI? How do we impart intelligence to these machines? What is Machine Learning, anyway?

And how in the world can a machine learn? Well, let us take one step at a time to answer these questions.

Machine Learning:

In 2005, Garry Kasparov introduced the idea of a FreeStlyle Chess Tournament. It was the first time ever that chess players could use any combination of man and machine to decide what their next move will be.

Hydra, a supercomputer more powerful than Deep Blue (a supercomputer which had defeated Garry himself in a game of chess in 1996), came third.

And yet, two amateur chess players with weak computers, but a robust machine learning system, beat both the grandest of chess masters and the Supercomputer Hydra to bag the first position.

How was this possible? Well, first, Hydra identified the positions of pieces on the chess board. Then, it calculated all the possible future moves of both itself and its opponent. Using these set of possible outcomes, it made its next move.

But Hydra was merely a set of static, programmed rules. It did not have a memory. It could not use its past experience to decide which move to make next. When we teach a machine to do that, we call it Machine Learning, or ML.

Although ML and AI are used quite interchangeably in common parlance, Machine Learning is just the current state-of-art techniques that we have to implement AI.

Neural networks:

One of the ways that machines learn to perform tasks by themselves is through Neural Networks. As technology, and, importantly, our understanding of how our minds work, has progressed, our concept of what constitutes AI has changed.

Rather than increasingly complex rules and calculations, work in the field of AI concentrated on mimicking human decision making processes and carrying out tasks in ever more human ways.

One key realization – credited to Arthur Samuel in 1959 – was that rather than teaching computers everything they need to know about the world and how to carry out tasks, it might be possible to teach them to learn for themselves.

Neural networks are rough simulations of the human brain. They have thousands of neurons that have millions of synaptic connections amongst themselves.

YOLO or You Only Look Once, is an example of an ML system that uses this approach to recognize an object. You start by feeding it with the picture of, say, a cat, and the machine will search its “brain” for features corresponding to those of a cat.

Then, after producing and comparing the predicted output – say, a cheetah – with the correct one, the machine will learn from its mistake.

It will modify the way in which it recognizes the features of a cat. And, this process of learning (or pattern detection) goes on until the error cannot be reduced anymore.

Deep learning:

It is all easier said than done, of course, whether you’re teaching a machine to differentiate between a dog and a cat, or a good trade and a bad trade.

Just like the levels in this Animal Kingdom chart, these tasks cannot simply have one set of easy features to use for differentiation. So, when these layers of abstraction increase in complexity, we call it Deep Learning.

As is with these super-cool sounding definitions, it can be tough not to let Machine Learning algorithms baffle your senses. Essentially, it works on a system of probability. Based on data fed to it, AI is able to make statements, decisions or predictions with a degree of certainty.

The addition of a feedback loop enables “learning” – by sensing or being told whether its decisions are right or wrong, it modifies the approach it takes in the future.

It goes without saying that these algorithms are heavily dependent on data.

“More data beats clever algorithms, but better data beats more data” – Peter Norvig

And that’s how we know that these machines can’t yet do without us; because they need large amounts of structured and appropriate training data and a smart data scientist to steer the learning process.

Generalized AI:

The other kind of AI – known as generalized AI – where machines will understand others, and also have a sense of self, seems like a far cry.

Learning algorithms are not yet as smart as scientists, but they’re millions of times faster. As they say, things are not always #000000 or #FFFFFF.

To read more about Machine Learning – Click Here

The post AI helping us make informed decisions, lending hand in day-to-day chores appeared first on Engineering.

Read Full Article
  • Show original
  • .
  • Share
  • .
  • Favorite
  • .
  • Email
  • .
  • Add Tags 
Eckovation by Himanshu Agrawal - 2M ago

1. What is MySQL?

Answer: MySQL is an open source DBMS which is developed and distributed by Oracle Corporation.

It is supported by most of the popular operating systems, such as Windows, Linux etc. It can be used to develop a different type of applications but it is mainly used for developing web applications.

MySQL uses GPL (GNU General Public License) license so that anyone can download and install it for developing those applications which will be published or distributed freely. But if a user wants to develop any commercial application using MySQL then he/she will need to buy the commercial version of MySQL.

2. What are the features of MySQL?

Answer: MySQL has several useful features which make it a popular database management software.

Some important features of MySQL are mentioned below.

  • It is reliable and easy to use too.
  • It is the suitable database software for both large and small application.
  • Anyone can install and use it at no cost.
  • It is supported by many well-known programming languages, such as PHP, Java, C++, PERL etc.
  • It supports standard SQL (Structured Query Language).
  • The open source license of MySQL is customizable. Hence, a developer can modify it according to the requirements of the application.

3. What Is Ddl, Dml And Dcl ?

Answer : If you look at the large variety of SQL commands, they can be divided into three large subgroups. Data Definition Language deals with database schemas and descriptions of how the data should reside in the database, therefore language statements like CREATE TABLE or ALTER TABLE belong to DDL. DML deals with data manipulation, and therefore includes most common SQL statements such SELECT, INSERT, etc. Data Control Language includes commands such as GRANT, and mostly concerns with rights, permissions and other controls of the database system.

4. Explain The Difference Between Mysql And Mysql Interfaces In Php?

Answer : mysql is the object-oriented version of mysql library functions.

5. How Do You Change A Password For An Existing User Via Mysqladmin?

Answer : mysqladmin -u root -p password “newpassword”

6. What Are Some Good Ideas Regarding User Security In Mysql?

Answer : There is no user without a password. There is no user without a user name. There is no user whose Host column contains % (which here indicates that the user can log in from anywhere in the network or the Internet). There are as few users as possible (in the ideal case only root) who have unrestricted access.

7. Explain The Difference Between Myisam Static And Myisam Dynamic. ?

Answer : In MyISAM static all the fields have fixed width. The Dynamic MyISAM table would include fields such as TEXT, BLOB, etc. to accommodate the data types with various lengths. MyISAM Static would be easier to restore in case of corruption, since even though you might lose some data, you know exactly where to look for the beginning of the next record.

8. Explain Advantages Of Myisam Over Innodb?

Answer : Much more conservative approach to disk space management – each MyISAM table is stored in a separate file, which could be compressed then with myisamchk if needed. With InnoDB the tables are stored in tablespace, and not much further optimization is possible. All data except for TEXT and BLOB can occupy 8,000 bytes at most. No full text indexing is available for InnoDB. TRhe COUNT(*)s execute slower than in MyISAM due to tablespace complexity.

9. How can you find out the version of the installed MySQL?

Answer: The version of the installed MySQL server can be found out easily by running the following command from the MySQL prompt.

mysql> SHOW VARIABLES LIKE “%version%”;

10. What is the purpose of using a HEAP table?

Answer: The table which uses a hashed index and stores in the memory is called HEAP table. It works as a temporary table and it uses the indexes that make it faster than another table type.

When MySQL crashes for any reason then all the data stored in this table can be lost. It uses fixed length data types. Hence BLOB and TEXT data types are not supported by this table. It is a useful table for those MySQL tasks where speed is the most important factor and temporary data is used.

11. What is an index? How can an index be declared in MySQL?

Answer: An index is a data structure of MySQL table that is used to speed up the queries.

It is used by the database search engine to find out the records faster. One or more fields of a table can be used as an index key. Index key can be assigned at the time of table declaration or can be assigned after creating the table.

Example:

username and email fields are set as the index in the following create table statement.

The following command will show the index key information of the ‘users’ table.

SHOW INDEXES FROM users;

12. What is the difference between Primary Key and Unique Key?

Answer :  Both Primary and Unique Key is implemented for Uniqueness of the column. Primary Key creates a clustered index of column where as an Unique creates unclustered index of column. Moreover, Primary Key doesn’t allow NULL value, however Unique Key does allows one NULL value.
13. How many TRIGGERS are possible in MySql?

Answer : There are only six triggers are allowed to use in MySQL database and they are.

  1. Before Insert
  2. After Insert
  3. Before Update
  4. After Update
  5. Before Delete
  6. After Delete

14. What is Heap table?

Answer : Tables that are present in the memory are called as HEAP tables. These tables are commonly known as memory tables. These memory tables never have values with data type like “BLOB” or “TEXT”. They use indexes which make them faster.
15. What’s The Difference Between Char_length And Length?Answer : The first is, naturally, the character count. The second is byte count. For the Latin characters the numbers are the same, but they’re not the same for Unicode and other encodings.

16. How Mysql Optimizes Limit ?

Answer : In some cases MySQL will handle the query differently when you are using LIMIT # and not using HAVING: If you are selecting only a few rows with LIMIT, MySQL will use indexes in some cases when it normally would prefer to do a full table scan.

If you use LIMIT # with ORDER BY, MySQL will end the sorting as soon as it has found the first # lines instead of sorting the whole table.

When combining LIMIT # with DISTINCT, MySQL will stop as soon as it finds # unique rows.

In some cases a GROUP BY can be resolved by reading the key in order (or do a sort on the key) and then calculate summaries until the key value changes. In this case LIMIT # will not calculate any unnecessary GROUP BY’s.

As soon as MySQL has sent the first # rows to the client, it will abort the query.

LIMIT 0 will always quickly return an empty set. This is useful to check the query and to get the column types of the result columns.

The size of temporary tables uses the LIMIT # to calculate how much space is needed to resolve the query.

17. What Is Transaction?Answer : A transaction is a logical unit of work requested by a user to be applied to the database objects. MySQL server introduces the transaction concept to allow users to group one or more SQL statements into a single transaction, so that the effects of all the SQL statements in a transaction can be either all committed (applied to the database) or all rolled back (undone from the database).

18. How To Use Like Conditions?

Answer : A LIKE condition is also called pattern patch. There are 3 main rules on using LIKE condition:

  • is used in the pattern to match any one character.
  • % is used in the pattern to match any zero or more characters.
  • ESCAPE clause is used to provide the escape character in the pattern.

19. What are the advantages of MySQL in comparison to Oracle?

Answer : MySQL is open source software available at zero cost.
– It is portable.
– GUI with command prompt.
– Administration is supported by MySQL Query Browser.

20. What is BLOB?

Answer : BLOB stands for binary large object.
– It that can hold a variable amount of data.

The post 20 MySQL Interview Questions & Answers appeared first on Engineering.

Read Full Article
  • Show original
  • .
  • Share
  • .
  • Favorite
  • .
  • Email
  • .
  • Add Tags 

Abhinav Pateek, an MBA from Wharton School and currently a Product Manager, Walmart is here to give key insights on how one can kickstart their career in the field of Product Management.

Career in Product Management | Abhinav Prateek | Walmart | Wharton , IIT Kanpur - YouTube

This Eckovation’s Product Management video on “Product Management“ will provide you with detailed and comprehensive knowledge about how you can build your career in Product Management. It will provide you with the in-depth knowledge of the different types of Product Managers with the different skills that lie under each category.

Know more about Eckovation’s Product Management Certification: http://bit.ly/ECKPRODUCT About the Product Management Certification Course:

The demand for Product Management is increasing at an insane rate. More and more companies are finally figuring out how important this discipline and this role is to their success. No wonder, a Product Manager is often called a mini-CEO these days. But how exactly can one enter this field and excel in the job? There aren’t any degrees in Product Management & there are no certifications. Most Product Managers get into the field through luck or connections. That ends here – we’ll get you up to date on the skills you need to learn Product Management have the best chance at getting the job you want. There’s no more ambiguity to it. We’ll show you what you need to know and what you have to do – all taught from a Product Management insider. You’ll learn the skills that make up the entire Product Management job and process: from ideation to market research, to UX wireframing to prototyping, technology, metrics, and finally to building the product with user stories, project management, scoping, and leadership. We even have interviews with real life PMs, Q&A sessions with students, and a comprehensive guide to preparing and interviewing for a Product Management job.  Students aren’t required to know anything beforehand – we’ll teach you the fundamentals, how to apply them, how to develop into an advanced product manager, and finally how to maximize your chances to get a job as a Product Manager.

What is covered in this course?
  1. Introduction to Product Management
  2. Product Development Lifecycle
  3. Market Research and Analysis
  4. Understanding Product Demand: Users and Customers
  5. Designing and Running Experiments
  6. Managing Product Delivery: Project Management for PMs
  7. Metrics for Product Managers: Defining Success and Measuring Results
  8. Learn the Technology as a PM
  9. Working with different stakeholders: Cross-Team Management
  10. Interviews with Successful Product Managers

The post Career In Product Management | Skills for a Product Manager appeared first on Engineering.

Read Full Article
  • Show original
  • .
  • Share
  • .
  • Favorite
  • .
  • Email
  • .
  • Add Tags 

This year’s IPL auctions have been a treat for the Cricket-frenzy.

After all, it is only in the recent years that Indian Cricket lovers have been given the inside-view of what happens behind the scenes in team selections, player training, and match preparation. Big data, artificial intelligence, and analytics have become the deal-breakers in league cricket across the world. IPL is a brilliant example of how data consumption in Indian cricket has come of age.

Choice of Players and Team Formation

At the outset, let us start with the following quote by Satish Menon, CEO of Kings XI Punjab, published in a recent Times Now article.

“I think we spent a lot of time working at analytics. We were completely ready for the auctions as a result of the groundwork. If we missed out on one or two players, we made up by matching it accordingly. While initially, we were hoping to get at least 50 percent of players who were on our list, we ended up with 60-70% of the players we wanted. Whether it was Andrew Tye, or R Ashwin, Yuvraj Singh or even Chris Gayle, we are happy with the players we have in our squad. Gayle was not on the list of the core players we wanted, but we bought him towards the end.”

In fact, not just Kings XI Punjab. Many IPL teams have cracked down on data at a granular level to augment their team selection strategy. So what kind of data are we talking about?

The comprehensive player analysis is one of the biggest challenges faced by any team administration. FORMCEPT has used dataset for CricSheet data to analyze player performance by calculating the MVPI or the Most Valuable Player Index, which is a weighted composite score of the following attributes of a player:

Advertisement
Batting Metrics
  1. Hard Hitting Ability = (4*Fours + 6*Sixes) / Balls Played by Batsman

  2. Finisher = Not Out innings / Total Innings played
  3. Fast Scoring Ability = Total Runs / Balls Played by Batsman
  4. Consistency = Total Runs/Number of Times Out
  5. Running Between Wickets = (Total Runs – (4*Fours + 6*Sixes))/(Total Balls Played – Boundary Balls)
Bowling Metrics
  1. Economy = Runs Scored / (Number of balls bowled by bowler/6)

  2. Wicket Taking Ability = Number of balls bowled / Wickets Taken
  3. Consistency = Runs Conceded / Wickets Taken
  4. Crucial Wicket Taking Ability = Number of times Four or Five Wickets Taken / Number of Innings Played
  5. Short Performance Index = (Wickets Taken – 4* Number of Times Four Wickets Taken – 5* Number of Times Five Wickets Taken) / (Innings Played – Number of Times Four Wickets or Five Wickets Taken)
Approach – Methodology and Analysis

To know more about MVPI analysis based on actual examples of Chris Gayle and Amit Mishra, read FORMCEPT’s blog here.

Check out the Data Analytics course to know more about it – Click here

The post When it comes to IPL, Analytics is the next big thing in cricket appeared first on Engineering.

Read Full Article
  • Show original
  • .
  • Share
  • .
  • Favorite
  • .
  • Email
  • .
  • Add Tags 

Many higher education institutions pride themselves on their ability to prepare students for the workforce. Experience is often the best teacher and learners can gain experience through internships. Here in the article we will highlight on 7 programs of Internship that is going to give you best learning experience of industrial skills. So in this summer, do not miss the chance of doing any one of the program from the list:

1. Continued Industry Digitization

The Engineering & Construction (E&C) industry is already adopting many of the digital technologies including: digital sensors, mobile devices, BIM, augmented reality, virtual reality, drones, 3D scanning and printing, autonomous equipment, and advanced building.These technical innovations help companies improve their processes and fundamentally transform how building and projects come to life.

As the construction industry shifts towards adopting cloud-based platforms, businesses must quickly develop strong partnerships to prepare for a rapidly growing collaborative network.

Program which you can subscribe for getting expertise in the domain are as following:

  1. Full Stack Development Program: Click Here
  2. Mobile App Development Program: Click Here
  3. Data Scientist Program: Click Here
2. Cloud computing

The majority of companies have or will be using some aspect of Cloud computing.

The future of Cloud computing will straddle both private and public clouds, adding new challenges to the role of IT.

The increased use of cloud computing will put a premium on skill sets including those comfortable with API (application programming interface) development and a DevOps (unifying software development and software operation) environment.

It will also mean a strategic shift in the mindset of many IT professionals from working with equipment to applications.

Program which you can subscribe for getting expertise in cloud computing domain are as following:

  1. Big Data Development Program: Click Here
  2. Data Scientist Program: Click Here
3. VR and Immersive Architecture

Imagine an artificial world that you can observe, walk through, reach out to touch objects and see everything around you respond in real-time.

This is immersive virtual reality and these spaces are created using a combination of computer graphics, wireless tracking technology, headsets, HD projectors, polarized glass and more — all working together to create interactive and real-life experiences.

The world of 3D virtual design and engineering is a fast growing field and there’s some seriously forward thinking happening in these fields.

Program which you can subscribe for getting expertise in VR domain are as following:

  1. VR Development Program: Click Here
  2. Data Scientist Program: Click Here
4. Big data and smart cities

Although Big Data (data sets that are so big and complex that traditional data-processing application software are inadequate to deal with them) has a lot of buzz around it, we believe that in many ways it is still a relatively new and unexplored concept.

However, its potential for human analysis is already obvious.

This makes it a perfect and integral part of the planning and creation of smart cities.

  • As populations grow and resources become scarcer, the efficient usage of these limited goods becomes more important
  • Smart cities are a key factor in the consumption of materials and resources
  • Built on — and integrating with — big data, the cities of the future are becoming a realization today

Program which you can subscribe for getting expertise in this domain are as following:

  1. Big Data Development Program: Click Here
  2. Programming for All: Click Here
  3. Data Scientist Program: Click Here
5. Artificial intelligence (AI)

AI enables producers to make sense of the overwhelming data that their factories, operations and consumers generate, and to transform that data into meaningful decisions.

Today, 70 per cent of captured production data goes unused.

Applying AI to the connectivity of Internet of Things (IoT), producers are able to orchestrate and streamline business processes from desktops to machines, across department walls and tiers of suppliers.

The most promising immediate opportunities for applying AI in production systems are in quality management, predictive maintenance and supply chain optimization.

Program which you can subscribe for getting expertise in AI domain are as following:

  1. Python Program: Click Here
  2. AI Algorithm Development Program: Click Here
  3. Internet of Things Program  (IoT) with Kits: Click Here
  4. Data Scientist Program (Includes Python, Big data, AI, Deep learning): Click Here

The post Invest your Summer in one of the Top 5 Sectors of Engineering appeared first on Engineering.

Read Full Article
  • Show original
  • .
  • Share
  • .
  • Favorite
  • .
  • Email
  • .
  • Add Tags 

Many higher education institutions pride themselves on their ability to prepare students for the workforce. Experience is often the best teacher and learners can gain experience through internships. Here in the article we will highlight on 7 programs of Internship that is going to give you best learning experience of industrial skills. So in this summer, do not miss the chance of doing any one of the program from the list:

1. Continued Industry Digitization

The Engineering & Construction (E&C) industry is already adopting many of the digital technologies including: digital sensors, mobile devices, BIM, augmented reality, virtual reality, drones, 3D scanning and printing, autonomous equipment, and advanced building.These technical innovations help companies improve their processes and fundamentally transform how building and projects come to life.

As the construction industry shifts towards adopting cloud-based platforms, businesses must quickly develop strong partnerships to prepare for a rapidly growing collaborative network.

Program which you can subscribe for getting expertise in the domain are as following:

  1. Full Stack Development Program: Click Here
  2. Mobile App Development Program: Click Here
  3. Data Scientist Program: Click Here
2. Cloud computing

The majority of companies have or will be using some aspect of Cloud computing.

The future of Cloud computing will straddle both private and public clouds, adding new challenges to the role of IT.

The increased use of cloud computing will put a premium on skill sets including those comfortable with API (application programming interface) development and a DevOps (unifying software development and software operation) environment.

It will also mean a strategic shift in the mindset of many IT professionals from working with equipment to applications.

Program which you can subscribe for getting expertise in cloud computing domain are as following:

  1. Big Data Development Program: Click Here
  2. Data Scientist Program: Click Here
3. VR and Immersive Architecture

Imagine an artificial world that you can observe, walk through, reach out to touch objects and see everything around you respond in real-time.

This is immersive virtual reality and these spaces are created using a combination of computer graphics, wireless tracking technology, headsets, HD projectors, polarized glass and more — all working together to create interactive and real-life experiences.

The world of 3D virtual design and engineering is a fast growing field and there’s some seriously forward thinking happening in these fields.

Program which you can subscribe for getting expertise in VR domain are as following:

  1. VR Development Program: Click Here
  2. Data Scientist Program: Click Here
4. Big data and smart cities

Although Big Data (data sets that are so big and complex that traditional data-processing application software are inadequate to deal with them) has a lot of buzz around it, we believe that in many ways it is still a relatively new and unexplored concept.

However, its potential for human analysis is already obvious.

This makes it a perfect and integral part of the planning and creation of smart cities.

  • As populations grow and resources become scarcer, the efficient usage of these limited goods becomes more important
  • Smart cities are a key factor in the consumption of materials and resources
  • Built on — and integrating with — big data, the cities of the future are becoming a realization today

Program which you can subscribe for getting expertise in this domain are as following:

  1. Big Data Development Program: Click Here
  2. Programming for All: Click Here
  3. Data Scientist Program: Click Here
5. Artificial intelligence (AI)

AI enables producers to make sense of the overwhelming data that their factories, operations and consumers generate, and to transform that data into meaningful decisions.

Today, 70 per cent of captured production data goes unused.

Applying AI to the connectivity of Internet of Things (IoT), producers are able to orchestrate and streamline business processes from desktops to machines, across department walls and tiers of suppliers.

The most promising immediate opportunities for applying AI in production systems are in quality management, predictive maintenance and supply chain optimization.

Program which you can subscribe for getting expertise in AI domain are as following:

  1. Python Program: Click Here
  2. AI Algorithm Development Program: Click Here
  3. Internet of Things Program  (IoT) with Kits: Click Here
  4. Data Scientist Program (Includes Python, Big data, AI, Deep learning): Click Here

The post Top 5 Sectors for Summer Internship Program appeared first on Engineering.

Read Full Article

Read for later

Articles marked as Favorite are saved for later viewing.
close
  • Show original
  • .
  • Share
  • .
  • Favorite
  • .
  • Email
  • .
  • Add Tags 

Separate tags by commas
To access this feature, please upgrade your account.
Start your free month
Free Preview