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.

 

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Cloud Computing Information

Learn top technology information click here

 

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

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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/