Artificial Intelligence and Big Data

Which factors help the organization to transform their business? Which technologies help them accomplish them to achieve their business goals? The answer should be Artificial Intelligence and Big Data.

Both Artificial Intelligence (AI) and Big Data are the two new emerging technologies of this modern tech-driven world. Artificial Intelligence has been in existence for a few decades, but Big Data has emerged just a few years back. These two technologies, when combined together can prove to be very powerful and help the organizations to analyze customer interests and provide them the best services.

Let us now understand both these technologies in brief.

Artificial Intelligence:

Artificial Intelligence is a branch of computer science which aims to create intelligent machines. It can also be understood as the ability of a computer to perform tasks that are similar to  those of human learning and decision making.

The applications provided by this technology are endless. This technology can be applied to many different sectors and industries. Looking at the benefits provided by this technology, many companies are willing to adopt AI technology into their business.

The fact that around 83% of businesses say that AI is now their strategic priority for their business is an indication of the extent to which AI is valued by businesses. The market of AI is also growing continuously. According to research firm Markets and Markets, the AI market will grow to a $190 billion industry by the year 2025.

Big Data:

Big Data refers to data with a huge size. Big Data is the term that describes a large amount of data – both structured and unstructured. This data is available from different sources such as from social media, blogs and comments, YouTube videos, email, etc.

Types of Big Data: Big Data can be found in three different terms:

  • Structured
  • Unstructured
  • Semi structured.

1) Structured: The data that can be stored, accessed and processed in the form of fixed format is known as structured data.

2) Unstructured: The data with an unknown form or structure is known as unstructured data.

3) Semi structured: Semi structured data contains both structured and unstructured data.

Artificial Intelligence and Big Data can work together

Both Artificial Intelligence and Big Data together are contributing to the growth of many businesses across the industries. Today, many organizations are relying on the meaningful insights obtained from Big Data for their business growth. To meet their business demands, organizations are considering  using Artificial Intelligence and Machine Learning techniques that help to stay ahead of the competition.

Organizations believe that AI will bring about a revolution into their organizational data. Artificial Intelligence involves Machine Learning techniques through which machines send or receive data and learn new concepts by analyzing the data. Big Data helps the organizations in analyzing their existing data and in drawing useful information from the same.

Combining AI and Big Data can be very advantageous for companies. As they both together provide meaningful insights immediately and accurately, this approach can be adopted across all industries.

Conclusion: We believe that this guide has been successful in providing you the information about both AI and Big Data technologies. These two technologies are working together to provide all the valuable aspects required for organizations to serve their customers in a better way and hence enhance their business.

If you are willing to learn these two technologies in detail then you can visit this link that contains all the valuable information required to master these technologies.

If you think some more information needs to be added to this blog, then please send your feedback in the comment section.

 

 

 

 

 

Top Technology Trends for 2020

There are some technology trends that fizz out over time and then there are the latest technology trends that stay on the sidelines and then gain traction after it either gets major funding or an industry suddenly integrate it in their process.

There are many such technologies that have already made their prominent mark in 2018 and are only a few more applications away from becoming mainstream. Those are the ones that we have listed as the upcoming and latest technology trends that would become trending by the year 2020.

Without further ado, here are the ten technology trends for 2020 –

1. AI

Artificial Intelligence has been continuing to make its place in the list of top technology trends since quite some years. And now has found a place in 2020 technology predictions as well.

Computers are now capable of learning about the world in the same way as us humans. This leap that AI capabilities have been possible because of the enormous increase in computing power and data. It’s this phenomenal explosion in data, which has enabled AI to advance at a lightning speed since the past couple of years; greater the data an AI has, the faster it would be able to learn and more precise it becomes.

The speed at which AI is growing will prepare it to undertake more human tasks by 2020.

AI

Its present-day tasks of enabling computers to read (studying messages and reports), see (through facial recognition), listen (by enabling Amazon Echo to answer your command), speak ( Siri being able to give you an answer) and even record emotions (through affective computing) will help AI become a technology that no longer needs human intervention to aid its learning.

2. NLP

In a year or two, Chatbots would have reached their market potential, with the majority of the businesses employing them to redefine their customer engagement policies. However, by 2020 chatbots would reach a whole different level with the integration of NLP.

NLP

Computers, apps, and devices will now be able to understand the true meaning behind what is said. Sarcasm, puns, and double meaning contexts will be clear to the upcoming technologies with the help of NLP.

And users will now be able to ask of things in their natural way of talking and not in words that are “right” for machines and software to understand. The complex algorithms that would go behind it, will be based on millions of computations and predictions that would be generated by mixing AI with all conversations happening between humans and their software/ device.

3. Blockchain

The rate at which Blockchain is growing has placed it at a pivotal point in the list of top technology trends 2020. Blockchain technology is definitely here to stay. While prevalent in only a handful of industries right now, by 2020 the world will see its mass adoption.

Blockchain

A number of new elements and processes will be added in the present day’s most disruptive technology. While there is a fair chance that ICOs won’t stick around that long as might see a fast death because of the stringent regulations.

Cryptocurrencies, the important Blockchain element, will also find itself divided in a number of currencies and would be floated in the market just like fiat currencies. People who are currently unaware of what Blockchain and Cryptocurrencies and where they can spend them, will start doing their everyday transactions with them.

4. IoT

IoT has been finding itself in the list of up and coming technologies to look out for, since the past many years and now again in the list of the year 2020 technologies.

Although it has been a little slow in connecting devices and home with each other for quite some time, the future presents a different story for IoT altogether. Pretty much everything would be made smart in the coming time.

IoT

While still a handful, it is projected that by 2020, a quarter of billion cares will get hooked by the internet, making them much smarter.

Our homes that already have a series of smart products such as TVs, water heaters, microwaves, yoga mats, and the voice-enabled personal assistants like Amazon echo, etc. Will find a series of new entries in only a matter of time.

There are already a lot of devices, but the IoT is only getting started. IHS has predicted there’ll be over 75 billion total connected devices by to support the arrival of the technology in 2020.

5. 5G

By the time 2020 comes, the world would be under the spell of fast internet connection and all the various perks that come attached with it.

5g will find its place in the market very soon, bringing with itself benefits such as high internet speed, lower latency, and higher capacities. The benefits that will make it one of the prime future technological trends in 2020 and beyond.

5G

The benefits would make it possible for autonomous vehicles and wireless VR to work with minimal technical hesitancies. The benefit of 5G would be two-fold. Not only would it enrich the user experience by offering higher data rates when we talk by VR or AR, but it will also be much safety favoring, which is where latency point comes in.

But just how fast would 5G be? It is anticipated that when it takes 26 hours for a movie to download in a 3G network, in 5G the time would reduce to 3.6 seconds.

6. Automation

Automation has moved ahead from its involvement in the production lines. There are a number of ways automation will create its presence around us by becoming one the most awaited new technologies of 2020.

From packaging juice boxes to delivering pizza in self-driving vehicles, automation is fast climbing the food chain from doing routine tasks to a lot more complex, decision-making tasks.

Automation

Mixed with Robotics, Machine Learning, and Artificial Intelligence, processes across multiple industries like Food and Beverage, Medical, and Customer Service will become further streamlined and automated by the time 2020 hits our doors.

So here were the ten latest technology trends that are going to see mass adoption before we hit 2020. Are you ready for them?

7. RPA catches a second wind: 

Robotic Process Automation isn’t new, and is widely considered to be the lowest hanging fruit on the AI tree, but it is nevertheless a very hot topic at every tech and manufacturing conference I have attended in the last eight months. Attended RPA leads the way but as interest and investments continue to grow, and RPA proves itself trustworthy, I believe that 2020 will be a very big year for RPA investments, just as 2019 was with money being poured into companies like Automation Anywhere, UiPath and Blue Prism. Also, enterprise companies like Cisco are already using RPA to help create wiggle room to upskill and augment the value of their existing workforce, and that model is certain to quickly grow into a winning formula. (Smart companies: take note.)

8. Voice

We’ve seen developments in voice technology in the past like Siri, Alexa, and others, but they have often fallen short of human expectation – or are even usefulness in daily life.

Voice is a medium that tends to be organic and free-flowing, something not easily translated into digital technology. As AI and computer learning programs grow in the next decade, expect voice interpreting and voice creating software to move through its current uncanny valley and into a more human-paralleled realm.

In the near future, Voice commands and voice assistants will prove even more useful to our daily lives, muddying the line between the human-technology interface. As these industries’ underlying technology gets better (AI, Voice processing, Machine learning), it will only be propelled into greater technological significance.

In the realm of voice technology, one specific aspect on the cutting edge is Neuro-linguistic programming. Called NLP, this realm of programming would allow computers and systems to understand the true meaning of voice. This new programming language of sorts would give computers an understanding of underlying human tone, sarcasm, pun, and even deeper context clues like double meanings.

9. Analytics

Analytics are playing an increasingly important role in the growth and measurement of companies across the world. Not only can analytics tell you if you’re successful in your market, but they can help you predict where the markets will move next.

Analytics, while seemingly simple on the surface, actually involves a significant amount of data processing to turn large chunks of raw data into something actionable and useful.

With cloud computing, IoT, and big data growing, data is getting murky and clouded. Analytics tools utilizing machine learning will be needed at a far greater extent than currently implemented to make sense of the data, identify issues, and even recommend action.

In essence, analytics is one specialty that AI and machine learning technologies will be particularly useful in. Analytics will be the perfect use case for many of the next decade’s emerging tech.

 

10. Extended Reality

Extended Reality (XR) is a catch-all term that covers several new and emerging technologies being used to create more immersive digital experiences. More specifically, it refers to virtual, augmented, and mixed reality. Virtual reality (VR) provides a fully digitally immersive experience where you enter a computer-generated world using headsets that blend out the real world. Augmented reality (AR) overlays digital objects onto the real world via smartphone screens or displays (think Snapchat filters). Mixed reality (MR) is an extension of AR, that means users can interact with digital objects placed in the real world (think playing a holographic piano that you have placed into your room via an AR headset).

These technologies have been around for a few years now but have largely been confined to the world of entertainment – with Oculus Rift and Vive headsets providing the current state-of-the-art in videogames, and smartphone features such as camera filters and Pokemon Go-style games providing the most visible examples of AR.

From 2020 expect all of that to change, as businesses get to grips with the wealth of exciting possibilities offered by both current forms of XR. Virtual and augmented reality will become increasingly prevalent for training and simulation, as well as offering new ways to interact with customers.

 

11. 3D Printing

If your job involves design, you may soon find yourself with a 3-D printer on your desk. The technology creates 3-dimensional objects by adding material, such as plastic, layer-by-layer, based on a computer generated design until an object has been formed.

It allows designers to quickly prototype concepts right at their desks, meaning faster prototype iterations and a better chance they’ll catch design errors earlyon. It also means they can create custom objects — such as prostheses — much cheaper than conventional manufacturing.

 

Related Articles:

Continue exploring the landscape of product design with these helpful resources:

Python Information

Internet of Things Information

Cyber Security Information

Machine Learning Information

Cloud Computing Information

Learn top technology information click here

 

Artificial Intelligence -Digital Transformation Meetup

This Meetup aim is to discuss about Artificial Intelligence. It will be an ideal opportunity to explore critical areas of AI such as digital transformation, AI and deep learning, AI and cybercrime, AI as a tool for enforcing accountability, the various industries that could get impacted by AI, enterprise and process automation using AI, AI and costumer experience, AI’s role in messaging in the advertising, marketing and healthcare and other sectors, AI for the Cognitive Enterprise, and much more.

 

Click here to Meetup

 

(AI) Artificial Intelligence -Digital Transformation Meetup

This Meetup aim is to discuss about Artificial Intelligence. It will be an ideal opportunity to explore critical areas of AI such as digital transformation, AI and deep learning, AI and cybercrime, AI as a tool for enforcing accountability, the various industries that could get impacted by AI, enterprise and process automation using AI, AI and costumer experience, AI’s role in messaging in the advertising, marketing and healthcare and other sectors, AI for the Cognitive Enterprise, and much more.

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Why You Need to Study Artificial Intelligence 2020

You’ve probably heard the terms Artificial Intelligence (AI) and Machine Learning (ML) recently in the news. It seems to be the new buzzwords, just like cryptocurrency not long ago. Bitcoin is not making headlines anymore, making people question, was it only a clickbait buzzword and is AI the same? What are these new technologies and why should we, the common people, the non-technical people, care? Reality is— our society is on the brink of a technological revolution, and Artificial Intelligence is at the core the Fourth Industrial Revolution which will fundamentally alter the way we live and work. It will affect all of us.

Leading technology giants Facebook, Google, Amazon are all excited about Artificial Intelligence. Google CEO Sundar Pichai emphasized in 2017 just how important AI is to the future of the company by saying:

“I’m really happy with how we are transitioning to an AI-first company. The Google Assistant is one of our first steps towards that future…Advances in machine learning are helping us make many Google products better… Beyond that, we continue to set the pace in machine learning and AI research.”

Even though we hear about it in the news, and see headlines, how many of us really know — what is AI? Why is it important? Let’s face it, there are not many people who truly understand what AI and ML are, it’s relatively new, but as it will have a huge impact on our lives in the future, we should aim to have at least a basic understanding of it. I would suggest to pay attention especially if you are still in the early days of your career. Chances are, it will deeply influence the future of work and your career as a result, no matter the industry you are in.

So — what is AI?

I have been really interested in everything related to the future and especially the technology that will shape it. But I have to admit, I also lacked a clear understanding of AI, even though I’ve known for a very long time about the massive importance of it.

During my University years, I always attended workshops around entrepreneurship and got the habit of going to one of the biggest tech conference in the Nordic, Slush, every year. Even though I studied business, I always tried to widen my perspective and educate myself in those topics that weren’t directly related to my studies. It is a shame business and technology studies are not integrated more, as it often is in the “real” world. So, I have been learning on my own, mostly because, well, I can. As I wrote in my previous article, it is up to us how we use the power that is access to unlimited information that is available thanks to the internet. I really find technology fascinating and over time, got over the limiting belief that only tech people need to know this stuff. I’m not a tech-head — what I am is a person of curiosity, ideas and dreams.

We cannot wait until someone or something (university) will give us the information we need, we need to educate ourselves. Taking matters in my own hands to learn about these concepts that are already major and will only get more significant in the future, I did what any other person would do — I Googled it.

Okay, so what about artificial intelligence?

By now you will have a solid foundation of knowledge in machine learning. However, this is only the tip of the iceberg – machine learning at its most basic provides a very limited form of artificial intelligence.

Advances in artificial intelligence are possible through ever more powerful algorithms – artificial or deep neural networks – that have additional layers of complexity (quite literally additional neurons).

These are the algorithms that are used to power sophisticated applications and tools. From image recognition to image identification, through to speech to text and machine translation, the applications of these algorithms are radically transforming our relationship with technology.

But you probably already knew that. The important question is how you actually go about doing it.

Well, luckily in many ways, if you know the core components of machine learning, more advanced elements of deep learning and artificial neural networks shouldn’t actually be as complex as you might at first think.

There are, however, a couple of considerations that become more important as you move deeper into deep learning.

Here are some of the results to what is AI:

· AI is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

· Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.

· Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks.

· Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.

From this simple Googling experience, I already noticed that AI means different things to different people, and I had to go deeper in the attempt to better understand it.

Google is a good start. You can find many online courses and workshops organized all over the world if you live in a bigger city. Some of them might cost a lot of money since it really is a hot topic at the moment.

Free quality online education Finland style

Here’s where the Finnish education delighted me once again. I learned about an online course created by the University of Helsinki and Reaktor, called The Elements of AI. I saw many people in my professional network endorsing it on social media, so I didn’t hesitate for a moment to take this course.

I took the first module yesterday and I’m impressed. It’s mind blowing how this quality of teaching is free and accessible to anyone. The teaching material itself is amazing and equally importantly, the way it’s delivered is what the future of higher education can and should be.

The course is divided into 6 modules:

· What is AI?

· Solving problems with AI

· Real world AI

· Machine learning

· Neural networks

· Implications

Conversational AI Startups

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10 Reasons why you should learn Artificial Intelligence

Introduction

Artificial Intelligence has revolutionized the way people think, learn, and work in various fields, from finance to healthcare and mobile apps. What’s more interesting is that AI plays more role in our daily lives than we can imagine. From Siri and Ok Google to various virtual player games and social media apps, AI is everywhere. It sure is the most happening topic in every business right now. It is the most wanted and exciting career domain right now in the market. Let us know what Artificial Intelligence is.

What is Artificial Intelligence?

Artificial Intelligence ( ) uses intelligent machines built in a way that they react like humans. The primary process involved in making these smart machines is to carry out decision making, which analysis and uses data available in an enterprise. It is similar to the human mind absorbing and synthesizing information and providing with the required decision.

1. Artificial Intelligence in Healthcare industry:

We are now in a digital age where everything could be implemented with the help of technology and Internet. Nowadays we get to see that a doctor can monitor and diagnose a patient from a remote location. This has reduced the necessity of being in person. Image the same way where the patient’s health condition is checked against predefined medications and algorithms prescribing a solution to the doctor. This would be a great success in the entire Healthcare industry. The current healthcare industry is completely dependant on the doctor’s sole knowledge and no supporting decision-making system is available to advise the treatments or the medication. It is completely coming up from the Doctor’s experience and decision. Imagine a condition where all the patient vitals and health records are pre-analyzed and a personalized treatment plan is produced for the doctor to review will change the entire treatment process.

2. Artificial Intelligence in responding to your emails:

If you have been using Gmail’s latest mobile application then responding to your emails would have been really easy and also exciting. So based on your email content, a predefined answer are already pre-populated as tags for you while responding back to the email. The latest version of Gmail mobile application has drastically reduced the turnaround time in terms of responding an email back. So the mobile applications are evaluating the emails now and giving us appropriate suggestions while writing back to the sender. Well, the possibilities are limitless and more importantly endless. So we got to wait for the future and see how it is going to affect the human interventions. The above list is a general observation of how Artificial Intelligence is already taking up its baby steps and improving the current processes. Well, the limitations are endless and one needs to understand to what extent it can be helpful. Involving and rebuilding the process by implementing Artificial Intelligence and Machine learning will be definitely the future and it makes sense to build the skill in this arena. A lot of possibilities are available where the implementations are not specific to an industry but this can be generalized.

3. Artificial Intelligence In Mobile World:

The smartphone nowadays is not only considered as a communication device anymore it can be called as your digital wallet and much more than that, even we can classify them as your personal assistants. Well, speaking about personal assistants, it is worth mentioning about “Siri”. It is one of the best examples of proper utilization of Artificial Intelligence and Machine learning. So based on your habits and interests “Siri” will be able to answer all your questions and provide valuable suggestions. This is already happening and this is the start of next wave of technology utilization. We have seen days where mobile devices didn’t have touchscreens and now we are in a digital age where the majority of the devices are touch screens. The next age of mobiles will be working on the voice commands which is nothing but “Siri”. This change will be huge and it will completely change the way people are using their mobile phones at the moment.

4. Artificial Intelligence in Smart Home Devices:

Based on your preferences what if your home environment is changed from time to time. Wondering whether this is possible or not? Well, it is definitely possible. In past few years, we have seen a lot of smart devices coming up in the market which works in line with our preferences. So basically based on your preferred patterns, the lighting in the house and temperature of the refrigerator and other household devices can definitely be monitored and eventually project optimum utilization settings as well. All of this is happening because of underlying machine learning and Artificial Intelligence built into these devices.

5. Artificial Intelligence in Automobile Industry:

If you are updated with the latest technology happenings then you wouldn’t have missed this at all. The concept of self-driving cars and autopilot features are in the news lately and big players like “Google” and “Tesla” are already in this arena. Have you ever imagined that you will be traveling in a car which doesn’t need a driver to take you from point A to point B. Well, this is not at all a dream anymore, a lot of test runs have gone through were the concept cars going to hit the road soon. This is definitely going to be the future in the automobile industry. A lot more research and development needs to happen within this area as we have to consider the safety and security aspect of the passengers. Well, we have to just wait and watch what is going to happen.

6. Artificial Intelligence in Music and Movie Recommendation services:

Who doesn’t like watching movies and listening to music right?
What if your next song or movie is recommended to you by a system based on your interests and browsing history? This would be pretty cool right!!!
Well, they are already few mobile applications that understand your choice of music and movies and recommend the same genre as a suggestion. This has been a massive success in terms of sales and promotions of various brands because the target market is available for the brands. The ads that you have seen on your browsers are also based on your previous activities. All of your activities are analyzed and a chain of recommendations are provided. With the help of the recommendations, it will definitely help the individuals to explore new options.

7. Artificial Intelligence in Retail industry:

This is going to be a huge game changer for all the retail companies because if they understand the purchase pattern and the requirements of their customers, they will definitely have to tailor their process to be the market leader. The Artificial Intelligence concept comes into the picture when the buying patterns are analyzed and understands the needs of the customer. The retail industry can gain huge profits by properly analyzing the customer needs vs buying the pattern and based on the consumption if the system could suggest:
Relevant coupons
Promote discounted offerings
Targeted marketing
Stocking the warehouses etc.

All of these subprocesses with definitely be improved and to be honest it will help the customer a lot. As of now, we are going towards a clash where the businesses are legally obligated that they are invading an individual privacy by closely evaluating their buying pattern and the products that they buy. In certain parts of the world, Amazon has started an offer called “Pantry” where they can select few products as essentials and they are automatically delivered to you on a periodic basis. Well, this is a perfect example for introducing the Artificial Intelligence into the process where a better operational and stocking activities are carried out.

8. Artificial Intelligence in Security Surveillance:

Safety and security are the important aspects and the basic needs of an individual or for an organization. The surveillance setup, i.e. security cameras monitoring important areas of the business is definitely a better idea. But watching too many screens for a very long time will be a boring job and ultimately we lose the option of attending the emergencies when there is a need. So what if there are predefined algorithms that are fed into the security cameras and make them more powerful. Based on the surveillance and the activities the system would be able to analyze and let us know whether the situation is actually a threat or not.  If it is a threat then it would immediately alert the human security officials associated with the business. If this sort of technology advancements are available right now then it would have made a positive impact on the security of the individuals and operationally the situation will be handled more efficiently.

9. Artificial Intelligence in Fraud Detection:

The fraud detection activity monitoring systems are actually a boom to the human kind where their money is protected by evaluating the transactions that they make. Have you ever received an email or a text message from your bank confirming the recent transaction activity was actually made by you or was it someone else who got hold of your card. Well, most of this transaction monitoring is carried out by the fraud detection team which is powered by AI. The transaction patterns of the individual, the usual withdrawal amount from the ATM and the frequency of the account logins. All of this data is stored and analyzed for suspicious activity.  For example: if you have never used your ATM card for years and all of a sudden you have started withdrawing money from your card then this would be definitely flagged as a fraud alert by the system. So the AI algorithms are developed by considering different scenarios and situations which will ultimately alert the users to be cautious about their belongings. The same technique can be expanded and further used in other industries as well.

10. Artificial Intelligence in Online Customer Support

Nowadays every business has a website for sure because it has been a need vs a luxury. With the rapid use of smartphones and internet, it has been evident that most of the customers are tending to get information via online interactions rather than phone interactions. So most of the websites have an online chat system which responds to your queries. Do you think that a real human is responding back to your queries all the time? Well, not all the time. To make sure the business is live and active 24/7 days businesses are opting for automated bots which actually does the same job as of a human. The responses are based on the content available on the website and the same is fed back to the customer based on his or her request. Well, this process is gaining more and more acceptance and the underlying logic is also going through a makeover where it can accommodate more requests and provide more accurate information. All of this is happening because of the rapid development of Natural Language Processing (NLP).

Rising Opportunities

Indeed reports that the number of AI-related job opportunities outranked the number of searches for AI engineer jobs. With increasing opportunities and using Artificial Intelligence in each sphere of life, the learning of this technology is more beneficial than we all think.

Some Resources to learn Artificial Intelligence

Learn Artificial Intelligence for Beginners

Let WIX, Artificial Intelligence (ADI) Build Your Website

Learn the Basic Fundamentals of Artificial Intelligence (AI) in Softwar…

 

 

 

 

Master Facial Recognition Software Development A-Z™

Master Facial Recognition Software Development

  • Want to develop a Facial Recognition software but hurdled by Math Heavy Articles ?
  • Want to learn deep concept of Facial Recognition procedure ?
  • Want to learn key methods and concepts use in computer vision specially for Face recognition systems

or whatever you want to know about facial recognition system development, I can assure you that you can learn every necessary concept (A-Z) about face recognition in this course.

This course covers every topic by using step-by-step approach and my approach is very simple. You will learn from very basic to advance level. I designed this course to give complete concept of Facial Recognition to beginners. Students can learn Facial Recognition software development using OpenCV library. Course designed in a way so that students can first learn fundamentals of face recognition and its important techniques. Moreover visual data like flow chart designed for students so that they can understand face recognition system easily.This may not be your first course related to facial recognition , but trust me – It will definitely be your last.

In course first, i have explained all about important classes and methods & then implemented using windows form application (C#). All procedures explained step by step. Visual studio project file will also provide to student, so that student can learn as well as can implement system using C#. After this course student will able to develop any facial recognition system for any industry.

Enroll now to get the best of knowledge about Facial Recognition system.

Hope to see you inside 🙂   

Who this course is for:

  • Beginner who want to learn Opencv (Emgu CV)
  • Beginners who want to learn deep face recognition
  • Who wants to solve real world problems using computer vision
  • Anyone who is interested in learning Face Recognition system using C#
  • Anyone who want to learn computer vision
Basic knowledge
  • Windows operating system
  • Visual Studio
  • Basic Knowledge of programming
What you will learn
  • Students will able to develop complete face recognition system using C# (windows form application)
  • Students will understand deep knowledge of face recognition
  • Students will learn every class and method of OpenCV required for computer vision
  • Complete understanding of Face Recognition procedure
  • Understanding of HaaCascade, its development and use in face recognition

learn more click here

AWS Solutions Architect Certification Training

ABOUT THE COURSE

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Simpliv is offering the comprehensive AWS certification training created by industry experts. The entire AWS training course is in line with clearing the AWS Certified Solutions Architect exam. You will learn the various aspects of AWS like Elastic Cloud Compute, Simple Storage Service, Virtual Private Cloud, Aurora database service, Load Balancing, Auto Scaling and more through hands-on projects and case studies. You will be able to implement AWS best practices.

Who is the target audience?

Programmers, Developers, Technical Leads, Architects, Freshers,Data Scientists, Data Analysts,Business Intelligence Managers.

Basic knowledge:
  • A basic understanding of running commands in Linux.
  • Familiarity with Linux concepts like networking, software repos and storage.
  • Familiarity with concepts related to deploying applications.
  • Experience with managing systems/applications/infrastructure or with deployments/automation.

 

Curriculam

Course Index

  • Introduction to Cloud Computing and AWS
  • Amazon Elastic Compute Cloud (EC2)
  • Amazon Virtual Private Cloud
  • Amazon Storage Services – 1
  • Amazon Storage Services – 2
  • Amazon Storage Services – 3
  • AWS Database Services – 1
  • AWS Database Services – 2
  • AWS Identity and Access Management (IAM) – Control user access
  • Load Balancing and Autoscaling
  • Amazon Route 53
  • Amazon Application Services

 

Price:  ₹ 16665 (Enroll Today and Get Flat 40% OFF )

New Batch starts from 19th Jan 2019 Days: Sat-Sun (6 Weeks) 08:00 AM – 11:00 AM (IST)

 

Contact Us:

Simpliv Services India Pvt Ltd

Email: support@simpliv.com

Phone: 76760-08458

Email: sudheer@simpliv.com

Phone:  9538055093

 To Enroll Click Here: https://www.simpliv.com/instructor-led-courses/aws-solutions-architect-certification-training/?7-DEC-SEO

High octane content from Simpliv from its course on AWS Solutions Architect Certification Training

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Simpliv, a prominent online video platform for learning, is offering a 36-hour intensive AWS Solutions Architect Certification Training course. This course, which will be in the online classroom format, is aimed at a vast sweep of professionals who want to clear the AWS Certified Solutions Architect exam and thereby enhance their learning of AWS and progress further in their career.

The highlight of this AWS Solutions Architect Certification Training is that it is created by industry experts. This is meant to bring the latest and most relevant learning on AWS to the aspiring professionals. In line with the working schedule of the professionals this course is aimed at; it is scheduled for a weekend slot in the following manner:

Saturday and Sunday, 19 and 20 January 2019: Between 8 AM and 11 AM, IST. For professionals who enroll for this batch, Simpliv offers an attractive discount of over 40%. It brings this course for a highly reduced fee of ₹9999 instead of the usual ₹16,665.

About the course

This Simpliv-presented AWS Solutions Architect Certification Training will ensure that your career as an AWS professional will never be the same. A gateway to helping you clear the AWS Certified Solutions Architect exam; this AWS Solutions Architect Certification Training is just what you need to be able to clear this exam. It will help you take a giant step in your career and be completely industry ready with this learning.

Some of those who benefit largely from this course include Data Scientists, Data Analysts, Architects, Business Intelligence Managers, Technical Leads, Programmers, Developers and Freshers. The learning covers the following areas:

  • Elastic Cloud Compute
  • Simple Storage Service
  • Virtual Private Cloud
  • Aurora database service
  • Load Balancing
  • Auto Scaling

In addition, a lot more will be taught. The main feature of this course is that it is not just academic or textbook-centric. It will be more of a hands-on project that will include several case studies. All these are aimed at helping learners attain the skillsets and knowledge needed for implementing AWS best practices.

Certificate to seal the learning

At the end of the course period, learners will earn a certificate from Simpliv. This will be a value addition to their careers and will put them on the road to gaining AWS Solutions Architect Certification, which will be a landmark of significance in their career path. This AWS Solutions Architect Certification Training will help them climb the ladder to their professional growth since it equips them with all the learning needed to get there.

Prerequisites for the course

This AWS Solutions Architect Certification Training course from Simpliv is aimed at the professional who wants to increase her working knowledge of AWS. This being an intense course, it requires participants to have a basic understanding of running commands in Linux. In addition, it also requires learners to be familiar with core Linux concepts such as networking, software repos and storage.

Participants are also expected to have an element of understanding of concepts concerning applications deployment. Simpliv also requires participants of this AWS Solutions Architect Certification Training course to have gained some level of experience in managing systems or applications or infrastructure or deployments and automation.

Helping to embark on a challenging and lucrative career in AWS.

Being created by industry experts, this The AWS Solutions Architect Certification Training from Simpliv is a very major step in helping them to bringing them closer to the AWS Solutions Architect Certification, which will open the doors to a challenging and highly rewarding career in many parts of the world.

This course will help them close the gaps that exist in their knowledge of the subject and to address the needs of the industry. This course is a significant step in putting them on the track to a career that offers a range of positions such as AWS Cloud Architect, Cloud Software Engineer, Cloud Developer, Cloud DevOps Engineer, Cloud Sales & Purchase Manager, Cloud Key Account Manager, or AWS Networking Specialist.

Simpliv has designed this course in the knowledge and acknowledgment that technical areas need constant updating. At the same time, Simpliv also understands that although there is a pressing need for those in the field to gain knowledge of all the aspects of AWS; it is not practical to expect them to take up this training during the weekdays. This is why it has designed this training for the weekends.

Over 36 hours of learning spread over these two weeks, participants will be thoroughly tuned to understanding how to clear the AWS Certified Solutions Architect exam. This course will offer complete learning on all the aspects of this exam. It will help them understand all that it takes to clear this exam. The course content covers learning on the following areas with all their related topics:

  • Introduction to Cloud Computing and AWS
  • Amazon Elastic Compute Cloud (EC2)
  • Amazon Virtual Private Cloud
  • Amazon Storage Services – 1
  • Amazon Storage Services – 2
  • Amazon Storage Services – 3
  • AWS Database Services – 1
  • AWS Database Services – 2
  • AWS Identity and Access Management (IAM) – Control user access
  • Load Balancing and Autoscaling
  • Amazon Route 53
  • Amazon Application Services.

About Simpliv

Based out of Fremont, CA; Simpliv is a comprehensive platform for learning. Created with the intention of making education accessible to all; Simpliv seeks to remove all the barriers to education. The only requisite it looks for is the quest for learning. It offers learning to people across all races, geographical locations, ages and colors. Simpliv brings together an impressive array of subject matter experts to help learners understand the relevant topics.

Contact Us:

Simpliv LLC

Email: support@simpliv.com

Website: https://www.simpliv.com/instructor-led-courses/aws-solutions-architect-certification-training/?7-DEC-SEO