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

 

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…

 

 

 

 

Spark for Data Science with Python

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data.

exploratory_data_-378225

Get your data to fly using Spark for analytics, machine learning and data science 

Let’s parse that.

  • What’s Spark? If you are an analyst or a data scientist, you’re used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code.
  • Analytics: Using Spark and Python you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease.
  • Machine Learning and Data Science : Spark’s core functionality and built-in libraries make it easy to implement complex algorithms like Recommendations with very few lines of code. We’ll cover a variety of datasets and algorithms including PageRank, MapReduce and Graph datasets.

What’s Covered:

Lot’s of cool stuff ..

  • Music Recommendations using Alternating Least Squares and the Audioscrobbler dataset
  • Dataframes and Spark SQL to work with Twitter data
  • Using the PageRank algorithm with Google web graph dataset
  • Using Spark Streaming for stream processing
  • Working with graph data using the Marvel Social network dataset

.. and of course all the Spark basic and advanced features:

  • Resilient Distributed Datasets, Transformations (map, filter, flatMap), Actions (reduce, aggregate)
  • Pair RDDs , reduceByKey, combineByKey
  • Broadcast and Accumulator variables
  • Spark for MapReduce
  • The Java API for Spark
  • Spark SQL, Spark Streaming, MLlib and GraphFrames (GraphX for Python)

Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We’re super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

  • Yep! Analysts who want to leverage Spark for analyzing interesting datasets
  • Yep! Data Scientists who want a single engine for analyzing and modelling data as well as productionizing it.
  • Yep! Engineers who want to use a distributed computing engine for batch or stream processing or both
Basic knowledge
  • The course assumes knowledge of Python. You can write Python code directly in the PySpark shell. If you already have IPython Notebook installed, we’ll show you how to configure it for Spark
  • For the Java section, we assume basic knowledge of Java. An IDE which supports Maven, like IntelliJ IDEA/Eclipse would be helpful
  • All examples work with or without Hadoop. If you would like to use Spark with Hadoop, you’ll need to have Hadoop installed (either in pseudo-distributed or cluster mode).
What you will learn
  • Use Spark for a variety of analytics and Machine Learning tasks
  • Implement complex algorithms like PageRank or Music Recommendations
  • Work with a variety of datasets from Airline delays to Twitter, Web graphs, Social networks and Product Ratings
  • Use all the different features and libraries of Spark : RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming and GraphX

More : 

Affiliate Marketing – Rollout Strategy Development

Affiliate Marketing - Rollout Strategy Development 3
DESCRIPTION

Did you know that with very little to no investment required, you can be making an income from the Internet as an Affiliate Marketer. Are you interested in learning how? This course gives you a great start to building a new monthly income stream for yourself. Through this course, you will learn:

  • How and where to start making money almost immediately selling 3rd party products
  • Ways you can use Amazon to earn revenue for yourself as an affiliate
  • My recommended top 10 Affiliate Marketing bulletin board sites where you can find quality products to promote and earn income
  • How to sell your services online through affiliate sites where others help you find consulting engagements
  • How you can put your own teams together to propose on and complete projects that you can take an overriding commission on for every hour your teams work
  • How to build your own online affiliate programs so other people are selling your products
  • Why you have made an income on day one just by starting a home business

Affiliate Marketing - Rollout Strategy Development 5

I personally have been making my own income as a consultant and an online entrepreneur since before the year 2000. Except for a short period since the late 90’s, I have not worked as an employee for anyone – all of my income has come from my own entrepreneurial efforts. I have a lot of knowledge in Internet marketing in general and affiliate marketing online and I am looking forward to beginning to share it with you through this course – so come join me. Let me help you get started.

Affiliate Marketing - Rollout Strategy Development 1

See you on the inside!  – Dan

BASIC KNOWLEDGE

All that is required is a desire to earn an extra income online.

WHAT YOU WILL LEARN

Through this course, you will learn how to select and implement Affiliate Marketing strategies for your new online business.

You will also gain an understanding as to what it takes to build an affiliate marketing program for one’s own products and services should you desire to take the path of building your own affiliate base.

 

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