Top 5 Tech Trends by 2020

Tech jobs landscape of 2020 will likely look largely the same as it did in 2018-2019, with roles in software development, cyber security, and data science dominating across industries.

Emerging technologies will be key catalysts for the in-demand jobs we expect to see in 2020, usually companies are searching and adapting new technologies to improve common issues including artificial intelligence, automation, virtual reality, cryptocurrency and more, offering news jobs in engineering, product, data science, marketing and sales will continue to rise in order to support the innovation happening worldwide.

Traditional companies that not used technology in processes are looking for new ways to adapt operative, financial or commercial issues with technology. Sarah Stoddard, community expert at job search site Glassdoor said. “As employers across diverse industries, from health care to finance to automotive and more, continue to implement various technologies to streamline workflows and boost business, the demand for top-notch workers who have a balance of technical and soft skills will continue to rise.”

What are the fastest growing technologies for 2020?

#1 Cibersecurity

Security is a major concern for companies and consumers alike in our connected world, usually people are connected not just with friends and family, now in this global world data and privacy are more important that in the past.

Because of this emphasis companies are hiring new specialized talent, college are offering new careers in Cybersecurity, bid data and blockchain, increasing possibilities to get a good job or start own company. Internet of Things (IoT) security will become a particular area of focus for 2020, as connected devices become staples in daily life and cybercriminals look to exploit them, this scenery can havea positive balance with emerging technologies to against cybercriminals.

#2 Internet of Things (IOT)

One of the biggest tech trends to emerge in recent years is the Internet of Things. Simply put, the Internet of Things (abbreviated IOT) is the idea that all technological devices can be connected to the internet and to each other in an attempt to create the perfect marriage between the physical and digital worlds.

How will this impact you? It depends on your industry. For example, for those who work in marketing, advertising, media or business management, IOT could provide a wealth of information on how consumers engage with products by tracking their interactions with digital devices. In turn, this data could be used to optimize marketing campaigns and user experiences.

#3 Machine Learning

A great technology advantage is emerging technologies as Machine Learning, which is essentially a computer’s ability to learn on its own by analyzing data and tracking repeating patterns. Companies are using this technology to improve automatic process and reducing effort in manual activities. Now Machine learning is applied in different industries including retail, healthcare and finances.

#4 Virtual Reality

Virtual reality has been a popular component of video games for several years and this trend is continuing to expand to other industries that need a costumer experience, people are buying a experience for get away from reality. In addition to video games, VR is likely to affect companies across the board as they adopt the technology to help them engage customers more effectively and optimize their sales and marketing efforts. It’s also a potentially useful tool for learning and is increasingly being adopted by educational organizations.

#5 Cognitive Technology

Emerging needs have to increase new challenges, people now are in a screen around 30 hours per week, traditional commerce are decreasing with the passing of year, now companies are looking for new alternative to explore digital world, e-commerce and social networks are improving ways to people buy in a easy way, not need go to a store or a restaurant to order food or something. Sensory technologies allow a digital interaction with costumer in a easy way.

With emerging technologies changing professional industries including banking, eCommerce, healthcare and education, staying up to date on the latest trends will give you a better understanding of your chosen industry and make you a more competitive candidate. Best of all, this knowledge might open up new doors within your field and others.

Here’s a Demo to Implement Google Cloud Video Intelligence API

Some months ago Google showed to the world how to use their most recent video intelligence product, Google Cloud Video Intelligence API.

Ok, to get context, Cloud Video Intelligence is basically an API that makes videos searchable, and discoverable, by extracting metadata with an easy to use REST API.

You can now search every moment of every video file in your catalog. It quickly annotates videos stored in Google Cloud Storage, and helps you identify key entities (nouns) within your video; and when they occur within the video. Separate signals from noise, by retrieving relevant information within the entire video, shot-by-shot, -or per frame.

Take a look at the following video to understand the power of this tool.

If you working with videos, take your time to learn more about this API. If you are not working directly with videos, feel free to share this post with your boss… maybe it can be useful for next business strategies.

A Neural Network Playground In The Browser

Well, maybe Neural Network can be a fancy or very new term. The thing is that Neural Network is the “base of” Machine Learning, and other applications like Artificial Intelligence.

A Neural Network it’s a technique for building a computer program that learns from data. It is based very loosely on how we think the human brain works.

First, a collection of software “neurons” are created and connected together, allowing them to send messages to each other.

Next, the network is asked to solve a problem, which it attempts to do over and over, each time strengthening the connections that lead to success and diminishing those that lead to failure.

Web TensorFlow Playground

So, this web tool is an interactive visualization of neural networks, written in TypeScript using d3.js. Go to http://playground.tensorflow.org to start playing just in the browser. I tested it on Google Chrome.

BTW, you can find the source here in TensorFlow’s GitHub.

Neural Network Playground, TensorFlow

I would like to know if you are working on some Neural Network project. Maybe you can get the exposure needed 🙂 Use the comments section below.

Deconstructing Chatbots

AI and Chatbots are trending topics nowadays, but some people don’t understand how terrific could be a chatbot in business.

The following video shows how chatbots works, can they understand what humans says, and how they can response by using artificial intelligence.

Is your business leveraging chatbots to support clients or maybe your business planing the next move? Take a look.

 

7 Steps of Machine Learning (Artificial Intelligence)

Hi 4Geeks Nation! I want to share with you this video (from Google AI) that explain so clear 7 steps of Machine Learning.

  • Gathering Data
  • Preparing that Data
  • Choose a model
  • Training
  • Evaluation
  • Hyperparameter Tuning
  • Prediction

 

Buying Items Securely Through Google Assistant

Voice services game players are doing a great job on enabling new ways to make life easier by using its voice products. In particular Google is pushing hard to

Customers already knows that people don’t just want to get know the weather forecast or something like that. They demand more value and smart solutions. Put simply, they want an easier way to get their shopping tasks done.

Recently (March 2018) Google announced Shopping Actions to let user to order products from stores directly from a simple web search, Google Assistant or any “Google place”.

In addition, Shopping Actions uses a pay-per-sale model, meaning you only pay when a sale actually takes place. Shopping Actions appear within the sponsored Shopping Unit on the Google Search page, and on Google.com/Shopping. No organic rankings are impacted or changed.

Source: Google Blog

So far, Google is encouraging companies to see it as an ally against Amazon. “We have taken a fundamentally different approach from the likes of Amazon because we see ourselves as an enabler of retail…We see ourselves as part of a solution for retailers to be able to drive better transactions,” Google’s president for retail and shopping Daniel Alegre told Reuters.

Google explains the main features of Shopping Actions to retail and e-Commerce industries:

  • Surface your products on new platforms like the Google Assistant with voice shopping.
  • Help your customers shop effortlessly with you, across Google. A shareable list, universal shopping cart and instant checkout with saved payment credentials work across Google.com and the Google Assistant — allowing your customers to seamlessly turn browsing into buying.
  • Increase loyalty and engagement with your highest value customers.

 

Over the past 6 months, Target said the number of items in shoppers’ Google Express baskets have increased by nearly 20 percent, on average, as a result of its tie-up with the internet company.

From now every single Google user (from mobile devices, desktop or Google Home) can buy products directly by voice.

Remember: Smart voice devices like Amazon Echo and Google Home will be installed in 55 percent of U.S. households by 2022, according to Juniper Research. This is a great opportunity to increase sales and engage users.

If you are into e-Commerce or retail industry and want to reach out more customers nation wide, please contact us to refer you the Google Shopping Action program.

How Robotic Process Automation can boost your company

Entire industries around the globe are looking for the way to achieve more results with minimal investment in time and money. But the thing is most of companies can not find the right way quickly, and obviously it will die, by being ate for some other smarter companies with no fear to change.

Thanks to technology today we have some tools (or ways) to get a huge ROI (Return Of Investment) with the minimal effort. This is not a calling to be vague or something like that: on the contrary, my purpose is letting know you about new smarter ways to make better business.

Ok. Robotic Process Automation (RPA) is the key. Basically RPA is to programming computer to do common tasks, quicker and safer. And you can put this concept on almost any are of your company. RPA is your new employee.

RPA is more than a simple chatbot, it includes Machine Learning to automate business process. For example, entering or updating data on your ERP (and other internal systems you use) as it new leads come. A chatbot triggers a RPA bot who creates the signature.

Myths and Truths

 

It’s 2018, but even there are small-mindset owners. That’s normal. It ocurres because they don’t have the right information.

Myth #1: RPA is for big companies

This is one of the most common phrase I have heard from small business owners, because historically the best and powerful business tools were only for big companies. It’s an understandable paradigm.

Thanks to modern technology, today small and big companies can access the same benefits. The difference is on their owner’s mindset. RPA is not only for big companies, in terms of money and infrastructure. The investment is proporcional to the quantity of customers/employees.

Myth #2: RPA is expensive

Sure, RPA does have initial implementation costs. These include the provisioning of IT infrastructure such as databases, servers, network, etc. Running costs are largely time related and centre around the ongoing delivery and maintenance of processes, maintenance of underlying infrastructure and support.

You already knows that an expensive investment is when your return is less than the initial investment. This is not a bet. So, in this case, by using tools your consultant company can help you to predict the final impact, in order to measure the building and implementation cost.

Remember one thing: RPA will be your 24/7 employee. No tired. No excuses.

Are you a startup with limited budget? Pay as you grow.

Myth #3: RPA will replace humans

I know tons of people, including CEOs and engineers, think that RPA will replace them, and it will kill their business. Please, stop thinking on that way. Forget it! Drop it!

I strongly see humans using the bot’s power to boost and do smarter business.

As I said before: bots will be your 24/7 employee.

 

RPA uses cases

Now you knows the benefit of implementing RPA skills on your business, to analyze or operate processes. So, please let me describe some RPA uses cases… hope it can inspire you.

 

Ok. Here at 4Geeks we love to help business to implement automation process, that it can be translated to better business performance, saving, growth. Let us know if you need help.

E03: Chatbots

Hi there! Today we are going to talk about chatbots, and how it can help you to engage customers and do better business.  A chatbot basically is a program with capability to understand natural language (English, Spanish…) and trigger orders.

Some of the most popular companies providing chatbots platform are Google (DialogFlow), Facebook (Wit.ai), Amazon (Amazon Lex) and IBM (IBM Watson).

You can subscribe to this podcast on your favorite platform; iTunes, TuneIn, iVoox and YouTube included. Rate us and share with your community. You can always send us your questions by voice 🙂

Hosts: Allan Porras and Sergio Monge.

Chatbots: Are you a human or a bot?

Alan Turing, for more than one a God and from my point of view was the one who triggers this actual concept of machines. It was during 50’s when Turing postulate Turing Test. It was theoretical postulate only and as It’s own concept was lacking of variables we have now, nevertheless, It was one of first human being asking himself if we can determine if a machine is actually behaving as one or most like a human.

It was 1966 and a MIT professor called Joseph Weizenbaum, came up with ELIZAThis bot was able to start a conversation and simulate a Rogerian psychotherapy by most of the cases rephrasing client’s statements.

But everything changed with SmarterChild, why? basically because It changed a little bit the way a bot was perceive. Before, bots was for entertaining only, this bot was able to help you in different ways, like movies or appointments.

The older chatbots just compared patterns and that was everything, they build an answer based on patterns. Now, a bot can analyze data and elaborate an intelligent answer within learning included. This is where it gets interesting …

What is?

All chatbots are powered by NLP (Natural Language Processing), nevertheless, that only allow to us to understand/process inputs, the tricky part is when we answer to those questions, we need real big data.

In other words by it’s own conception, chatbots are useful without a good database where we can process and give an extra value to chatbots. A chatbot without big data is like an app that just show information, it just consumes memory and phone resources without a good unique value.

So, chatbots have use machine learning to process users inputs, this learning can be supervised or unsupervised, everything resumes un patterns which are processed by neuronal networks, which can detect patterns and learn from this. But machine learning is a topic we can go though later.

At the time we tech/feed that chatbot data, more valuable it becomes. Let’s say you have a e-commerce company, with a good chatbot, you can get reports really easily by asking something like:

  • What is my projection in the next 2 years ?
  • What has been my revenue this month ?
  • What is the most buyed item ?
  • Give me the email of our most recurrent buyer.

To answer that question a chatbot will have to go and processed some big data. That’s the importance of a database well fed.

A human is totally able to do what a chatbot is capable to do, at the end of the day, we want to make our lives easier, don’t we? Who wants to perform a search for hours when you can only ask for something.

Future of Marketing

Why?

  • Navigation Assistant
  • Automatic Responses
  • Reactive Communication
  • Recommendations
  • Receive Orders
  • Visit Registration
  • Clients Monitoring
  • Engagement beyond clicks

What are the benefits of chatbots overall

  • Reduction of operating costs and moderation.
  • Increase in response rate
  • Support 24/7
  • Telemarketing savings.
  • Increase in service during peak hours.
  • Automation and simplification of sales
  • Improvement of the customer experience (CX)

Musts

Having a chatbot is a continuous work (like everything in this life), but there is always some rules you have to consider if you want to have a good and realistic chatbot.

It has to sound familiar, like a human been, you can see this approach like easy/difficult, but It’s very important, people have to feel like they are talking with a real person, so, an identity and personality (artificial) for a chatbot is crucial. So, Does it have to be funny, introverted, friendly ? Your choice.

You have to give people reasons to comeback and use your bot again, create a necessity. That’s why it’s important to create a familiar environment.

To continuous improvement on your chatbot you must check logs and look for user needs, and make your chatbot learning faster.

It’s important to create all basics for your bot, it’s like to create a building, you first have to put all the foundations.

Before start a chatbot

  • Objetive

Make a realistic scope of your bot, so, you can have a metrics and check how is your bot going on.

  • Personality

Give to you bot a personality, just like we talked before, It’ll be nice people talk about you bot with specific characteristics and a differentiator from others.

  • Solution

What your bot will solve for your end users. It as to be a key differentiator for your clients.

  • Lifecycle

The most important part. What is the workflow of your bot, what is the beginning and what’s the end.

As you see all those points depend on each other, so It’s important to have all of them well described and decided. Then you are ready to start your bot.

I’m a developer

If you are a developer like me, and you want to start digging into this obscure world, there are some tools that right now does the NLP for you:

  • Cloud Natural Language API — Google
  • Cognitive Services APIs — Microsoft
  • Watson Conversation — IBM

Free for all (for now):

  • API.AI — Google
  • Wit.ai — Facebook

Those tools can help you to create a cool chatbot. At 4Geeks we have used API.AI to play with our Google Home. It’s easy and funny.

So, as you can see there is a list of benefits and and todo-list before start with you chatbot, but, the most important part of this is to have a cool chatbot with excellent data and a well defined goal. I argue you to comment and contribute by adding more and more info.

If you are asking if there is something more and more deep I want to invite you to be in touch, cause later, I will talk about how to create a Neurologic Network with Python to create the basics of a custom bot with self learning.

Identifying videos with Google Video Intelligence

Google is the API-master company in the world, putting awesome ideas and helping a lot of companies around the globe to make great software, and now is the opportunity for video.

Many months ago Google launched a service to analyze photos… I mean, to understand photos. People, animals, objetcs or whatever.

Google Video Intelligence is here, and let us dream bigger. Data is the king.

Google Cloud Video Intelligence API makes videos searchable, and discoverable, by extracting metadata with an easy to use REST API. You can now search every moment of every video file in your catalog and find every occurrence as well as its significance.

It quickly annotates videos stored in Google Cloud Storage, and helps you identify key nouns entities of your video, and when they occur within the video. Separate signal from noise, by retrieving relevant information at the video, shot or per frame.

Now is easier to understand videos by extracting actionable insights from video,  understand the overall content of your video catalog, identify the presence of a signal buried in noise.

Take a look at this demo, and see how this new tool can help to make better businesses, though an API.

And let us to know if can help you on develop your next big thing… just drop us an email.

[30% off] Detect missed growth opportunities for your businessClaim an Audit
+