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.

 

 

 

 

 

Simple DevOps Project – CI/CD With Git, Jenkins, Ansible, Docker And Kubernetes

Do you want build a CI/CD pipeline tools using various DevOps tools? then you are at right place.

Here you can see a CI/CD pipeline by using tools using Git, Jenkins, Ansible, Docker and Kubernetes. This give some light on how IT industry uses DevOps.

I have over 9+ year of experience in DevOps and have deep understanding in this domain. So, I will be teaching you in detail with step-by-step demonstration.

Who is this course for?

  • Anyone who wants to build CI/CD pipeline tools on Various DevOps tools
  • Anyone who wants to Enhance their skills in this domain

Basic knowledge

  • Windows computer or Mac
  • Basic knowledge about Software Development Processes
  • Basic knowledge about Git, Maven, Jenkins, Docker, Ansible & Kubernetes
  • A Desire to learn DevOps

What will you learn

  • You can learn to create a CI/CD pipeline to automate your DevOps flow through various DevOps Tools

Course Curriculum:

Introduction to CI/CD

CI/CD Using Git, Jenkins

CI/CD Pipeline using Git, Jenkins, Maven and Tomcat

CI/CD using Git, Jenkins, Maven and Docker

CI/CD pipeline using Git, Jenkins, Docker and Ansible

Integrating Kubernetes with CI/CD

More click here to contionue

Use Coupon Code 50% Off: SIMPLIV500

 

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.

Click Here to Continue Reading Meetup

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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The Future of Artificial Intelligence 2019

Artificial Intelligence (AI) and associated technologies will be present across many industries, within a considerable number of software packages, and part of our daily lives by 2020. Simpliv has also predicted that by 2020, AI will become one of the top five investment priorities for at least 30 percent of Chief Information Officers. Global software vendors are after this new gold rush. Unfortunately, though the promise of new revenue has pushed software business owners to invest in AI technologies, the truth is that most organizations do not have skilled staff to embrace AI Summit.

The trust deficit in the “capabilities of tech-enabled solutions” that exists today will vanish in the next 10 years, states In Ten Years: The Future of AI and ML. Over the next decade, we will witness a radical shift from partial mistrust and skepticism to complete dependence on AI and other advanced technologies. Most AI-powered applications are consumer facing, which is another solid reason for mainstream users to overcome the trust barrier over time. With more exposure and more access to technological solutions for their daily business, the Citizen Data Science community will pave the way for a new-technology-order world.

Artificial Intelligence is getting deeper into our daily lives, but this is not as scary as many may think. With Artificial Intelligence, we have seen things getting better and easier for us but this change does not stop at homes. Today many businesses are coming forward to use AI in new different ways so as to engage their customers, drive sales and make business processes simpler. In short, the demand for Artificial Intelligence development services will go high in the coming years.

We have already seen how Facebook was using AI to improve its ad campaigns as well as seen the effective use of AI-powered chatbots. So, what’s next? What should we expect out of Artificial Intelligence in the new year to boost business success?

The Future of AI

In the post-industrialization era, people have worked to create a machine that behaves like a human. The thinking machine is AI’s biggest gift to humankind; the grand entry of this self-propelled machine has suddenly changed the operative rules of business. In the recent years, self-driving vehicles, digital assistants, robotic factory staff, and smart cities have proven that intelligent machines are possible. AI has transformed most industry sectors like retail, manufacturing, finance, healthcare, and media and continues to invade new territories.

More Advanced AI Assistants

With the introduction of Amazon’s Alexa, Apple’s Siri, and other kinds of similar devices, consumers were seen hugely benefitting from AI assistants in their homes. Such AI assistants can be used to get a weather report, to play a song, to switch off the lights in the room, to look for some information online, and much more.

The new AI-powered technology is being embraced by the consumers. Based on the study of Adobe Analytics, it is said that around 71 percent of people who owned smart speakers used them at least once in a day while around 44 percent of smart speaker owners who admitted using it multiple times in a day. So in 2019, we will be able to see more of advanced AI assistants helping homes and workplaces as well as influencing other areas of life.

Today, users make AI assistants do basic tasks like search for information online or play a song. In the coming years, the changes will be big as AI assistants will be seen doing bigger tasks. They will be able to offer individualized experienced to the users just by recognizing the voice of the users.

So instead of just speaking to AI devices like we do today, there will soon come a time where you will be talking to your TV or refrigerator.

Job Changes

Artificial Intelligence has been instrumental in helping businesses to reach efficiency in what they do. For the same reason, job creation will be negatively affected by AI. With AI helping businesses to simplify different processes, certain positions filled up by humans will be taken off. The process of reskilling and retraining workers will become very crucial in the coming years with the increase of AI presence. The process should start as early as possible so that the people will be skilled and ready enough to take the advanced work.

Where can I learn about Artificial Intelligence for free?

There are a few places you can learn about Artificial Intelligence Summit. For example, many of the top tech universities in the world have uploaded content you can watch for free on sites like YouTube.

You could also consider taking some of their online courses on such topics.

But if you want to sit down and complete an actual course, here are some of the best courses that are available at the moment.

Artificial Intelligence Summit by Simpliv

This AI Summit will evaluate the nature and scale of changes that AI could bring about in various sectors such as retail, enterprise, consumer and commerce. It will scrutinize the opportunities and transformation that AI could bring about in development and digital platforms.

Simpliv will offer the opportunity for a vivid and thoughtful exchange of viewpoints among panel members, who will be a bright mix of:

  • Those who are pioneering path breaking innovations in the field of AI
  • Leading brands that are at the forefront of AI
  • Well-established leader
  • Tech evangelists
  • Unicorns, and
  • Keenly watched startups.

Visitors at the AI Summit will include AI managers, angel investors, decision makers, innovators, startups, designers, developers, Data Analysts, Managers and Scientists, and brand managers.

Contact Us:
Email: support@simpliv.com
Phone: 510-849-6155
Email: sudheer@simpliv.com
Phone: 9036771917
Enroll Here: https://www.simpliv.com/summit/

 

 

Introduction of Artificial Intelligence

In today’s world, technology is growing very fast, and we are getting in touch with different new technologies day by day.

Here, one of the booming technologies of computer science is Artificial Intelligence which is ready to create a new revolution in the world by making intelligent machines.The Artificial Intelligence is now all around us. It is currently working with a variety of subfields, ranging from general to specific, such as self-driving cars, playing chess, proving theorems, playing music, Painting, etc.

AI is one of the fascinating and universal fields of Computer science which has a great scope in future. AI holds a tendency to cause a machine to work as a human.

 

What is Artificial Intelligence?

Introduction to AI

Artificial Intelligence is composed of two words Artificial and Intelligence, where Artificial defines “man-made,” and intelligence defines “thinking power”, hence AI means “a man-made thinking power.”

So, we can define AI as:

“It is a branch of computer science by which we can create intelligent machines which can behave like a human, think like humans, and able to make decisions.”

Artificial Intelligence exists when a machine can have human based skills such as learning, reasoning, and solving problems

With Artificial Intelligence you do not need to preprogram a machine to do some work, despite that you can create a machine with programmed algorithms which can work with own intelligence, and that is the awesomeness of AI.

It is believed that AI is not a new technology, and some people says that as per Greek myth, there were Mechanical men in early days which can work and behave like humans.

Why Artificial Intelligence?

Before Learning about Artificial Intelligence, we should know that what is the importance of AI and why should we learn it. Following are some main reasons to learn about AI:

  • With the help of AI, you can create such software or devices which can solve real-world problems very easily and with accuracy such as health issues, marketing, traffic issues, etc.
  • With the help of AI, you can create your personal virtual Assistant, such as Cortana, Google Assistant, Siri, etc.
  • With the help of AI, you can build such Robots which can work in an environment where survival of humans can be at risk.
  • AI opens a path for other new technologies, new devices, and new Opportunities.

Goals of Artificial Intelligence

Following are the main goals of Artificial Intelligence:

  1. Replicate human intelligence
  2. Solve Knowledge-intensive tasks
  3. An intelligent connection of perception and action
  4. Building a machine which can perform tasks that requires human intelligence such as:
    • Proving a theorem
    • Playing chess
    • Plan some surgical operation
    • Driving a car in traffic
  5. Creating some system which can exhibit intelligent behavior, learn new things by itself, demonstrate, explain, and can advise to its user.

What Comprises to Artificial Intelligence?

Artificial Intelligence is not just a part of computer science even it’s so vast and requires lots of other factors which can contribute to it. To create the AI first we should know that how intelligence is composed, so the Intelligence is an intangible part of our brain which is a combination of Reasoning, learning, problem-solving perception, language understanding, etc.

To achieve the above factors for a machine or software Artificial Intelligence requires the following discipline:

  • Mathematics
  • Biology
  • Psychology
  • Sociology
  • Computer Science
  • Neurons Study
  • Statistics

Introduction to AI

Advantages of Artificial Intelligence

Following are some main advantages of Artificial Intelligence:

  • High Accuracy with less errors: AI machines or systems are prone to less errors and high accuracy as it takes decisions as per pre-experience or information.
  • High-Speed: AI systems can be of very high-speed and fast-decision making, because of that AI systems can beat a chess champion in the Chess game.
  • High reliability: AI machines are highly reliable and can perform the same action multiple times with high accuracy.
  • Useful for risky areas: AI machines can be helpful in situations such as defusing a bomb, exploring the ocean floor, where to employ a human can be risky.
  • Digital Assistant: AI can be very useful to provide digital assistant to the users such as AI technology is currently used by various E-commerce websites to show the products as per customer requirement.
  • Useful as a public utility: AI can be very useful for public utilities such as a self-driving car which can make our journey safer and hassle-free, facial recognition for security purpose, Natural language processing to communicate with the human in human-language, etc.

Disadvantages of Artificial Intelligence

Every technology has some disadvantages, and thesame goes for Artificial intelligence. Being so advantageous technology still, it has some disadvantages which we need to keep in our mind while creating an AI system. Following are the disadvantages of AI:

  • High Cost: The hardware and software requirement of AI is very costly as it requires lots of maintenance to meet current world requirements.
  • Can’t think out of the box: Even we are making smarter machines with AI, but still they cannot work out of the box, as the robot will only do that work for which they are trained, or programmed.
  • No feelings and emotions: AI machines can be an outstanding performer, but still it does not have the feeling so it cannot make any kind of emotional attachment with human, and may sometime be harmful for users if the proper care is not taken.
  • Increase dependency on machines: With the increment of technology, people are getting more dependent on devices and hence they are losing their mental capabilities.
  • No Original Creativity: As humans are so creative and can imagine some new ideas but still AI machines cannot beat this power of human intelligence and cannot be creative and imaginative.

ARTIFICIAL INTELLIGENCE SUMMIT:

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Simpliv, the learning platform, is organizing the AI Summit India on 18th November at Taj, Vivanta, Bangalore. This two-day summit 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.