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17 In-Demand Technology Skills to Learn in 2020

17 In-Demand Technology Skills to Learn in 2020

Looking to change fields and get into tech, but don’t know what skills you need to launch your career? Maximize your marketability by pursuing tech skills in demand for the future!

Between 2016 and mid-2019, U.S. employers were only able to fill six of every 10 open tech positions, signaling a huge technology talent deficit in the U.S. Furthermore, over 50% of company learning & development leaders in a Udemy survey said technical skills were their top priority for training in 2020.

Of course, tech is a broad field, and there are a lot of interesting directions you can go in. In this article, we’ll look at the various areas of tech, how much demand exists for each skill, and where to go to start your learning journey.

Without further ado, here are 17 tech skills in demand in 2020—plus where to get the online technical training you need to become a pro.

AI is rapidly changing the landscape of work, making it an exciting time for programmers to look for something new. Hiring growth for AI specialists has grown 74% annually in the past 4 years. Because of its increasingly widespread adoption, AI specialists earned LinkedIn’s #1 emerging jobs spot.

There is a crossover with machine learning here (which you’ll learn about next!), but the key difference is that AI is a broader concept pertaining to machines designed to act intelligently like humans, whereas machine learning relies on devices making sense of a specific set of data.

In 2018, 31% of businesses said implementing AI was on their agenda for the next 12 months. Their top use cases are incorporating AI in data analysis and user experience.

Quick facts about AI as a tech career:

  • Average salary: $122,000 average across various AI careers
  • The amount of jobs requiring AI skills has multiplied by 4.5 since 2013
  • Artificial intelligence specialties can benefit a variety of tech careers, from software engineers to data scientists to product managers.

Where to learn it: Artificial Intelligence MicroMasters Program on edX

Must-have IT skills in 2020

WHAT THE COURSE COVERS: 

This MicroMasters program encompasses 4 courses that explore distinct aspects and applications of AI. Understand the guiding concepts behind machine learning and AI, design your own artificial intelligence programs to solve real-world problems, learn about its application in physical robotics, and explore the world of animation and CGI.

COURSE FACTS:

  • Course Name: Artificial Intelligence MicroMasters Program
  • Platform: edX
  • Instructed by: Ansaf Salleb-Aouissi, John W. Paisley, Matei Ciocarlie, Eitan Grinspun
  • Price: $896.40 USD for the entire program
  • Skill level: Advanced (Bachelor’s degree in Computer Science or Mathematics and have a basic understanding of statistics, college-level algebra, calculus, and comfort with programming languages.)
  • Enroll in the course here

WHY THIS COURSE?  

It’s a rigorous, graduate-level program of courses from an Ivy League university, representing 25% of Columbia’s coursework for a Master’s Degree in computer science.

Machine learning is one of the most innovative and exciting fields moving into the future, making it one of the most profitable skills you can learn. From Siri and Alexa to chatbots to predictive analysis to self-driving cars, there are a ton of uses for this futuristic tech.

Those who begin taking online courses in machine learning now will still be getting in relatively early, as demand is only increasing from here. According to McKinsey, 49% of companies are currently exploring or planning to use machine learning.

Machine learning can be applied to every industry, including healthcare, education, finance, etc. Translation? The possibilities are endless, and you can apply your machine learning skills to a role that suits your personality and interests.

Learn more about the difference between AI and machine learning and what to do if you want a career in machine learning in this interview with CTO Allan Leinwand.

Quick facts about machine learning as a tech career:

Where to learn it: Machine Learning on Coursera

In-Demand Technology Skills to Learn in 2020

WHAT THE COURSE COVERS: 

Broad intro to entire machine learning workflow, including neural networks, statistical pattern recognition, deep learning, unsupervised learning, anomaly detection, recommender systems, and more.

COURSE FACTS:

  • Course Name: Machine Learning
  • Platform: Coursera
  • Instructed by: Andrew Ng (co-founder of Coursera)
  • Price: Free! (for the audit option, no graded items) or $79 (with certificate & graded assignments)
  • Skill level: Beginner/Intermediate (requires a basic understanding of linear algebra)
  • Enroll in the course here

WHY THIS COURSE? 

It has a 4.9-star rating (out of over 125,000 ratings), was created by Stanford University, touches on the theories behind machine learning as well as its practical applications, and is taught by the cofounder of Coursera!

Two consistently in-demand tech jobs within Big Data include data science and data analytics. Revenue from Big Data applications and analytics is projected to grow from $5.3B in 2018 to $19.4B in 2026.

84% of enterprises have launched advanced analytics and Big Data initiatives to accelerate their decision-making and bring greater accuracy. This is part of why data science has earned a top spot on LinkedIn’s emerging jobs report all three years the report has been conducted.

Data analysis is the more entry-level skill, whereas data science gets more advanced, but the careers are still cousins. Industries needing data professionals span education, finance, health, software, and more.

Quick facts about data science and analytics careers:

Where to learn it: Big Data Specialization on Coursera

Must-have IT skills in 2020

WHAT THE COURSE COVERS: 

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.

COURSE FACTS:

  • Course Name: Big Data Specialization
  • Platform: Coursera
  • Instructed by: Ilkay Altintas, Amarnath Gupta and Mai Nguyen
  • Price: $49 per month with Coursera subscription
  • Skill level: Beginner
  • Enroll in the course here

WHY THIS COURSE? 

Taught by San Diego Supercomputer Center experts, involves hands-on activities, and you’ll get a comprehensive knowledge of the entire Big Data industry so you can go on to choose a specialization in data analytics, science, engineering, etc.

Data engineering is separate from data science, but the former is what enables the latter to exist. Data engineers build the infrastructure and tools that data scientists rely on to conduct their own work.

Since 2015, the hiring growth rate of this technology job has increased by nearly 35% across a wide variety of industries.

There’s no better time for U.S. citizens to enter the field, due to changes in immigration laws. “Following recent government policy changes in the H1-B Visa application process, demand for US citizen data engineers has increased drastically and shows no signs of easing,” writes Sam Brown.

Quick facts about data engineering as a tech career:

Where to learn it: An Introduction to Google Cloud Platform for Data Engineers on Udemy

Must-have IT skills in 2020

WHAT THE COURSE COVERS: 

All the core services you’ll need to know for the Google Cloud Data Engineer test, the basics of how to use Google Cloud Platform

COURSE FACTS:

  • Course Name: An Introduction to Google Cloud Platform for Data Engineers
  • Platform: Udemy
  • Instructed by: Mike West
  • Price: $99.99 (but Udemy often has sales, especially around holidays)
  • Skill level: Intermediate (you’ll need a basic understanding of cloud technologies and SQL)
  • Enroll in the course here

WHY THIS COURSE? 

It’s the first course in a series geared at helping you get the Google Cloud Professional Data Engineer Certificate.

Data visualization is a way to help people understand the significance of data by placing it in a visual context. For instance, by turning spreadsheets or reports into charts and graphs that can be easily understood.

Think of this career as a bridge between technical and non-technical roles. You’re taking the data collected by analysts and transforming it into a form anyone can understand.

Quick facts about data visualization as a tech career:

  • Average salary: $98,264 per year for data visualization engineers
  • It’s in demand because employers can make sense of large amounts of data to drive real business results. For example, it can help them predict sales volume, understand what factors influence human behavior, identify areas in the business that can be improved, identify trends, relationships, patterns, etc.
  • It’s a blend of science and art: raw information meeting visually appealing mediums.
  • Data visualization is the key to “bringing the power of Big Data to the mainstream.

Where to learn it: Data Visualization for All on edX

In-Demand Technology Skills to Learn in 2020

WHAT THE COURSE COVERS: 

Learn how to design interactive charts and customized maps for your website using Google Sheets, Tableau, Highcharts, Carto, Leaflet, GitHub

COURSE FACTS:

  • Course Name: Data Visualization for All
  • Platform: edX
  • Instructed by: Jack Dougherty, Stacy Lam, David Tatem
  • Price: Free (add a verified certificate for $49)
  • Skill level: Beginner
  • Enroll in the course here

WHY THIS COURSE? 

The course is taught by Trinity College faculty, and real-world examples are drawn from their students working with community organizations in Hartford, Connecticut.

For any company that collects customer information or deals with sensitive data of their own, keeping networks secure is paramount.

When data breaches do happen, they can be big, newsworthy, and costly for the company to recover from. The number of data breaches increased by 50% in 2019, and companies famously hacked in the past include Sony, LinkedIn, Chipotle, and others.

These situations underscore just how critical it is for companies to keep their network security up to par, and make cybersecurity one of the most-needed jobs and one of the technical skills in demand in 2020. Within just one year, company demand for security engineers has increased by 132%.

Unfortunately for those companies, right now there is a shortage of people trained in network security. Fortunately for you, that means there’s a gap in the market you can fill.

If you’re curious about filling that gap, read my ultimate guide to starting a career in cybersecurity.

Quick facts about cybersecurity as a tech career:

Where to learn it: Essentials of Cybersecurity on edX

In-Demand Technology Skills to Learn in 2020

WHAT THE PROGRAM COVERS: 

The fundamentals of networks, systems administration, how to mitigate vulnerabilities, how to perform digital forensic analysis, risk assessment, etc.

COURSE FACTS:

  • Program Name: Essentials of Cybersecurity
  • Platform: edX
  • Instructed by: University of Washington
  • Price: $396
  • Skill level: Intermediate (must have a STEM Bachelor’s degree or 5 years of work experience in a technical environment)
  • Enroll in the course here

WHY THIS COURSE?

It’s a professional certificate program made up of four courses. You’ll better understand the field of cybersecurity, what roles are available, and what cybersecurity career path is right for you.

Cloud computing jobs are on the rise because more and more companies are switching from the classical server infrastructure to cloud solutions. According to Gartner, the market for public cloud services is projected to grow by 17% in 2020 to a total of $266.4 billion.

Amazon Web Services is one of these cloud platforms, featuring content delivery, database storage, networking, and moreover 50 services in total. Since it is currently the biggest platform, we’ll highlight some specific facts about AWS in this section (and give an extra course recommendation for it!).

AWS specialists are usually engineers, cloud architects, or system administrators. IT professionals who are AWS-certified earn more than their non-certified counterparts. It’s one of the most profitable skills an IT employee can learn to level up their tech career, as AWS specialists earn an average of $113,000 (the highest of all certifications in the United States and Canada)

Quick facts about cloud computing as a tech career:

Where to learn general cloud computing: Cloud Computing Specialization on Coursera

In-Demand Technology Skills to Learn in 2020

WHAT THE COURSE COVERS: 

Clouds, Distributed Systems, Networking. Learn about and build distributed and networked systems for clouds and big data.

COURSE FACTS:

  • Course Name: Cloud Computing Specialization
  • Platform: Coursera
  • Instructed by: Reza Farivar, Ankit Singla, Indranil Gupta, P. Brighten Godfrey, and Roy H. Campbell
  • Price: $49 per month with Coursera subscription
  • Skill level: Intermediate
  • Enroll in the course here

WHY THIS COURSE? 

Hands-on activities, taught by computer science professors

Where to learn Amazon Web Services: Amazon Web Services (AWS) Fundamentals for System Administrators on Pluralsight

Amazon Web Services (AWS) Fundamentals for System Administrators

WHAT THE COURSE COVERS: 

Core AWS skills and concepts needed to begin working with AWS and to achieve AWS certification.

COURSE FACTS:

  • Course Name: Amazon Web Services (AWS) Fundamentals for System Administrators
  • Platform: Pluralsight
  • Instructed by: Elias Khnaser
  • Price: Free
  • Skill level: Intermediate (requires working knowledge of virtualization, networking essentials, and general systems administration)
  • Enroll in the course here

WHY THIS COURSE? 

You’ll have a solid understanding of how various AWS services are architected and how you can use them.

Virtual reality and augmented reality—the collective term is extended reality, or XR—are trending to be useful for more than just entertainment in the future. Marketing, advertising, health care, and manufacturing are some industries that have already begun adopting XR technology.

According to Hired’s 2019 State of Software Engineers report, demand for AR and VR engineers surged by an incredible 1,400%. But a little under just one year prior (from Feb ‘18-Feb ‘19), job searches had actually decreased by 13.48% for these roles. This implies that while jobs in this area are skyrocketing, the number of job-hunting candidates hasn’t had time to keep up, presenting a good opportunity for those who want to train for this top tech skill now.

In the near future, AR is looking to outpace VR for growth and profitability. Reports predict that the global VR gaming market size will be worth $22.9 billion by the end of 2020, while AR will be worth a stunning $133 billion by 2022.

Quick facts about Extended Reality (XR) as a tech career:

Where to learn it: Extended Reality (XR) – Building AR | VR | MR Projects on Udemy

In-Demand Technology Skills to Learn in 2020

WHAT THE COURSE COVERS: 

Learn how to make VR and AR apps with 3D game development. You’ll gain a better understanding of the complex landscape of extended reality, build your own 3D world, and deploy your own applications.

COURSE FACTS:

  • Course Name: Extended Reality (XR) – Building AR | VR | MR Projects on Udemy
  • Platform: Udemy
  • Instructed by: Packt Publishing
  • Price: $124.99 (although Udemy often has sales on)
  • Skill level: Beginner/Intermediate (Some prior familiarity with AR/VR frameworks will be useful but not mandatory.)
  • Enroll in the course here

WHY THIS COURSE? 

It’s a relatively short course (5 hours of content) that will level up your game development skills.

In the broadest sense, the term IoT encompasses everything connected to the internet, but it is increasingly being used to define objects that “talk” to each other.

“Simply, the Internet of Things is made up of devices—from simple sensors to smartphones and wearables—connected together,” says Matthew Evans, the IoT program head at techUK.

Everything that’s connected to the internet can be hacked, which is why security is one top concern with these devices. California and the UK have both recently introduced legislation to make IoT devices safer and more secure. Cybersecurity professionals who specialize in IoT will likely be highly sought after for this reason.

Quick facts about IoT as a tech career:

Where to learn it: Internet of Things (IoT) on edX

In-Demand Technology Skills to Learn in 2020

WHAT THE COURSE COVERS: 

Design IoT solutions and networks, identify components required, understand how data management fits in, analyze security risks, and ultimately produce a fleshed-out idea that’s ready to prototype

COURSE FACTS:

WHY THIS COURSE? 

The MicroMasters program—taught by a range of professors, specialists, and lecturers from Curtin University—includes 6 self-paced IoT courses, live discussions, remote access to real laboratory equipment for practical sessions. The program is credit-eligible for Curtin University Master’s degrees.

While they’re in the same family, UI and UX are different. UI (user interface) specialists design interfaces for websites and apps to be visually appealing, flow well and be easy for users to navigate. UX (user experience) specialists do a lot of research and testing to consider every element of how the user will interact with the company and website, coordinating with developers and UI designers.

This type of career is perfect for those who want a creative-meets-analytical type of role (graphic design meets A/B testing and so on).

Ultimately, UI is better for those who want to focus on the visuals, layout, and general look and feel of a page or product. UX is better for those who want to use analysis and testing to help a business seamlessly meet their users’ needs.

Quick facts about UI/UX as a tech career:

Where to learn it: User Experience Design Fundamentals on Udemy

In-Demand Technology Skills to Learn in 2020

WHAT THE COURSE COVERS: 

The critical elements of user experience–strategy, scope, structure, skeleton, and surface. Learn the basics (e.g. what UX design is and why it’s important), strategy/theory (e.g. use of color and typography), and implementation (e.g. how to create wireframes).

COURSE FACTS: 

  • Course Name: User Experience Design Fundamentals
  • Instructed by: Joe Natoli
  • Price: $94.99 (but Udemy often has sales, especially around holidays)
  • Skill level: Beginner
  • Enroll in the course here

WHY THIS COURSE? 

It has a 4.3-star rating from over 7,000 ratings, with 67,405 students enrolled. The instructor has been helping Fortune 100, Fortune 500, and various government organizations with UX design for nearly three decades.

There are 3.5 billion smartphone users in the world today, and that number is continuing to grow every year. This means that companies who want to stay relevant don’t just need websites; they need apps. Having mobile development skills also comes with the perk that if you can build apps for others, you can build and sell your own as well–so it’s an ideal career path for aspiring entrepreneurs.

One interesting direction that mobile apps are headed in is augmented reality. Apps like Pokémon Go and Harry Potter: Wizards Unite game engage with the real world, blending technology and reality.

If you want to start learning mobile development without committing to the Team Treehouse tech degree spotlighted below, check out these 21 mobile app development courses.

Quick facts about mobile development as a tech career:

  • Average salary: $96K+ (with starting salaries as high as $75K)

  • At the time of writing, there are over 49,000 mobile developer jobs posted on Glassdoor.

  • The global app economy is predicted to be worth $6.3 trillion by 2021, up from $1.3 trillion in 2016.

  • The future of mobile development goes beyond phones: wearable technologies, the Internet of Things, beacon technology, an increase in the use of VR/AR, and more.

Where to learn it: Team Treehouse’s Beginning iOS track

Must-have IT skills in 2020

WHAT THE COURSE COVERS: 

Swift is the language of iOS, created by Apple. You can use the language to build applications for the iPhone, iPad, Apple Watch, and more. Build your own apps or land a full-time job at a company that uses Swift.

COURSE FACTS:

  • Course Name: Beginning iOS
  • Platform: Treehouse
  • Instructed by: Pasan Premaratne
  • Price: $25/month
  • Skill level: Beginner
  • Enroll in the course here

WHY THIS COURSE? 

Learn how to program from absolute scratch using Swift and learn many fundamental concepts that will get you started writing code immediately. (No prior programming experience is needed.)

Originally devised for the digital currency Bitcoin, blockchain has evolved. The tech community is now finding other potential uses for the technology, such as peer-to-peer payments, crowdfunding, file storage, identity management, digital voting, etc. Learn more about blockchain/cryptocurrency jobs in this article.

“With platforms like Ethereum taking the lead, more and more companies need developers who understand the blockchain, smart contracts, and can build decentralized applications,” writes Anna Belaya.

Some of the blockchain skills you should know to include networking, cryptography computing, database design, and programming languages ranging from Java, JavaScript, and C++ to Go, Solidity, and Python.

QUICK FACTS ABOUT BLOCKCHAIN AS A TECH CAREER:

Where to learn it: Blockchain Specialization on Coursera

Blockchain Specialization on Coursera

WHAT THE COURSE COVERS: 

Broad intro into what blockchain is, including how to design and program smart contracts and decentralized applications

COURSE FACTS:

  • Course Name: Blockchain Specialization
  • Platform: Coursera
  • Instructed by: Bina Ramamurthy
  • Price: $49 per month with Coursera subscription
  • Skill level: Beginner/Intermediate (requires knowledge of at least one modern, high-level programming language)
  • Enroll in the course here

WHY THIS COURSE? 

Includes hands-on activities and is taught by a computer science professor at University at Buffalo.

If you’re okay with a little uncertainty in your career (and you enjoy science fiction), quantum computing is a field to consider. “The industry has a ways to go,” writes Sophia Chen. “They have a timeline, sort of, give or take a few decades. And at the moment, their roadmap has at least one glaring pothole: a lack of trained people.”

However, this provides an opportunity for you to help move the needle forward. Jeremy O’Brien, physicist and professorial research fellow at the University of Bristol, says that quantum computers could outperform everyday computers in less than 10 years.

Quick facts about quantum computing as a tech career:

  • Average salary: $82,965
  • Current quantum computing roles include software engineers, researchers, experimental scientists, and programmers.
  • You can contribute to Qiskit Terra and Qiskit Aqua code and algorithms to start getting involved with quantum computing and get noticed by hiring managers.

Where to learn it: The Introduction to Quantum Computing on Coursera

The Introduction to Quantum Computing on Coursera

WHAT THE COURSE COVERS: 

Mathematical models of quantum computing, quantum algorithms, and more.

COURSE FACTS:

  • Course Name: The Introduction to Quantum Computing
  • Platform: Coursera
  • Instructed by: Сысоев Сергей Сергеевич
  • Price: $49 per month with Coursera subscription
  • Skill level: Intermediate (requires knowledge of complex numbers and linear algebra)
  • Enroll in the course here

WHY THIS COURSE? 

“We will build a simple working quantum computer with our bare hands, and we will consider some algorithms designed for bigger quantum computers which are not yet developed.”

As a robotics engineer, you can specialize in software or hardware roles, working on virtual or physical bots. Physical robotics can encompass medical equipment, exploration bots, animatronics for films or amusement parks, automated manufacturing equipment, and more.

Virtual bots can exist in software and online to help automate tasks like customer service, virtual assistance, etc. You’ll notice an overlap with AI in this space.

Quick facts about robotics as a tech career:

Where to learn it: Robotics Specialization on Coursera

Robotics Specialization on Coursera

WHAT THE COURSE COVERS: 

Learn how robots operate, adjust their movements across a variety of terrains, serve useful real-world functions in scenarios like disaster recovery and healthcare, and so on. For a course project, you’ll learn how to program a robot to move and fly.

COURSE FACTS:

  • Course name: Robotics Specialization
  • Platform: Coursera
  • Instructed by: Jianbo Shi, Daniel Lee, Daniel E. Koditschek, Kostas Daniilidis, Vijay Kumar, CJ Taylor, Sid Deliwala
  • Price: $39/month with Coursera subscription
  • Skill level: Beginner
  • Enroll in the course here

WHY THIS COURSE? 

This specialization is comprised of 6 courses taught by a collection of professors from the School of Engineering at the University of Pennsylvania.

There’s no single job description of product management; roles will likely look different across different companies and product types (software, apps, physical products, etc).

One thing in common is that at its core, product management is about making a product the best it can be. That may entail considering market demand, conducting surveys and potential user tests, acting as a liaison between developers and designers assigned to the product, etc.

Especially if you’re working on a technical product, having the ability to understand and speak tech terminology will make you more successful.

Learn more about how to become a product manager here (a podcast episode with Sam Gimbel, who started out by studying neuroscience and became a product manager and later the co-founder of his own businesses).

Quick facts about product management as a tech career:

Where to learn it: Become a Product Manager | Learn the Skills & Get the Job on Udemy

Become a Product Manager | Learn the Skills & Get the Job on Udemy

WHAT THE COURSE COVERS:  

Learn all the skills involved in product management, from idea through execution. You’ll become familiar with the processes and tools involved in market research, prototyping, metric measuring, understanding core tech concepts, leading a team, and more.

COURSE FACTS:

  • Course name: Become a Product Manager | Learn the Skills & Get the Job
  • Platform: Udemy
  • Instructed by: Cole Mercer, Evan Kimbrell
  • Price: $194.99 (but Udemy often has sales, especially around holidays)
  • Skill level: Beginner, but familiarity with basic business concepts is helpful
  • Enroll in the course here

WHY THIS COURSE? 

In addition to teaching the skills, the course dedicates time to the job-search process as well, giving tips on the resume, portfolio, interview, and what to look for in product management jobs. Over a thousand students who have taken this course now work as product managers.

Salesforce is one of the world’s top 10 software companies by annual revenue, so there are a lot of opportunities for work in this space. CRMs, or customer relationship management solutions, provide companies with efficient ways to manage their sales, marketing, and customer support.

Developers are able to build on existing Salesforce infrastructure to create applications and projects specific to the needs of their company.

#7 on LinkedIn’s emerging jobs report was a Sales Development Representative, which mixes a traditional sales role with Salesforce technology expertise. As it’s not a purely technical role, it can be a good place to start within the broader universe of Salesforce.

On the podcast, listen to Zac Otero talk about transitioning into tech as a self-taught Salesforce admin.

Quick facts about Salesforce as a tech career:

Where to learn it: Salesforce Development Training for Beginners on Udemy

In-Demand Technology Skills to Learn in 2020

WHAT THE COURSE COVERS: 

Programming in Apex (the language of Salesforce), creating a Salesforce developer’s account, and all the features you can implement.

COURSE FACTS:

  • Course name: Salesforce Development Training for Beginners on Udemy
  • Platform: Udemy
  • Instructed by: Deepika Khanna
  • Price: $199.99  (but Udemy often has sales, especially around holidays)
  • Skill level: Beginner
  • Enroll in the course here

WHY THIS COURSE? 

Assumes no prior Salesforce experience and provides real-world examples to illustrate the concepts you’re learning.

Having a foundation of programming language skills can open doors for you in a lot of different ways.

On Glassdoor’s list of top jobs for 2020, careers requiring coding skills are well-represented. Front-end engineer is their #1 best job, Java developer is #2, the software engineer is #7, etc. Full-stack engineering has seen 35% of hiring growth every year since 2015.

When it comes to specific skills, there are some notable trends:

Of course, the language that’s best for you to learn depends on your specific goals.

Courses to Learn 17 Programming Languages

  1. HTML and CSS: HTML5 and CSS Fundamentals on edX (Free — add verified certificate for $99)
  2. JavaScript: JavaScript Path on Pluralsight ($29/month with a Pluralsight membership)
  3. Python: Introduction to Python Programming on Udacity (free)
  4. Java: Introduction to Programming in Java on edX ($297)
  5. C#: C# Path on Pluralsight ($29/month with a Pluralsight membership)
  6. PHP: PHP Essential Training on LinkedIn Learning ($24.99)
  7. Go: Programming with Google Go Specialization on Coursera ($49/month with a Coursera membership)
  8. Scala: Introduction to Scala on Team Treehouse ($24/month with a Team Treehouse subscription)
  9. Ruby: Learn to Code with Ruby on Udemy ($199.99 but Udemy often has sales)
  10. Typescript: Introduction to TypeScript 2 on edX (Free — add verified certificate for $99)
  11. Kotlin: Kotlin Essential Training on LinkedIn Learning ($24.99)
  12. SQL: The Complete SQL Bootcamp on Udemy ($194.99 but often on sale)
  13. Swift: Swift Fundamentals on Pluralsight ($29/month with a Pluralsight membership)
  14. R: R Programming: Advanced Analytics In R For Data Science ($199.99 but often on sale)
  15. C: Introduction to Programming in C Specialization on Coursera ($49/month with a Coursera membership)
  16. C++: C++ Essential Training on LinkedIn Learning ($44.99)
  17. Objective-C: Foundations of Objective-C App Development on Coursera ($39/month with a Coursera membership)

Data V Tech Solutions Company is proud to be a leading ERP consulting firm that facilitates the personal development of each team member and helps them gain necessary IT skills.

Pharma Pharmaceuticals deploys Epicor ERP

Pharma Pharmaceuticals deploys Epicor ERP

Epicor Software Corporation, a global provider of industry-specific enterprise software, has announced that Pharma Pharmaceutical Industries (Pharma)—a leader in the kingdom’s pharmaceutical services industry—has implemented Epicor ERP to enhance data capture and archiving capabilities, optimise operational efficiencies, and guarantee on-time delivery to customers.
Pharma brings together business leaders and healthcare veterans to offer services to the Saudi pharmaceutical industry that include branding, marketing and sales, warehousing and logistics, facilities management, and regulatory compliance consultancy.
The company’s international reach demanded a new approach to technology to ensure it remained a leader in the new global digital economy. It embarked upon a bold digital transformation journey, with a robust ERP platform as the planned keystone.
“We didn’t have an ERP platform in place and relied on a paper system to manage each department’s activity,” said Tariq Kayyali, quality unit director and ERP project manager, Pharma Pharmaceuticals Industries, whose team of stakeholders focused on linking and integrating department transactions to reduce the time taken to locate vital archived data.
Errors in starting materials and the resulting mix-ups and delays in order deliveries became significant business risks to the company, pre-digitization. The risk of using incorrect or expired material in the manufacturing process was compounded by the company’s inability to accurately control all its assets and due to its tendency to produce inaccurate reports due to manual compilation.
With the support of trusted Epicor partner, Full Insight Technology Solutions (FITS), Pharma deployed a platform that was easy to install, user-intuitive, and provided tight-fit functionality with its needs. Over a period of 10 months, the system was rolled out to 15 users, who all reported ease of use and unprecedented accuracy.
Switching to Epicor ERP has allowed Pharma to smoothly link and integrate transactions across all departments and enhance accuracy in operations and inventory control. Strict audit trails now allow every critical transaction to be traced—to the user, date, and time of action—allowing Pharma to closely monitor related business impacts. Labelling problems have also been overcome, by enabling greater control over purchased and manufactured parts.
“We ended up saving about 30 percent of unnecessary warehouse-team transactions and managed to reduce the time taken to find or track historical data records or transactions, from hours or days to seconds or minutes,” said Kayyali. “We also reduced the risk of mix-up and eliminated the possibility Pharma Pharmaceuticals deploys Epicor ERP to streamline processes and optimise service delivery of using an invalid or expired part as a starting material—which is critical in the pharma industry.”
Having a validated ERP system helps us meet the expectations and compliance requirements of medicinal product agencies, both in the Kingdom of Saudi Arabia and around the world.”
“Remaining relevant in the digital economy is no minor feat,” added Amel Gardner, regional vice president, Middle East, Africa and India (MEAI), Epicor.
“Competitors—especially new market entrants—will not be using manual processes for critical functions. It is therefore vital that all firms digitise as much as possible. Epicor ERP will give Pharma a strong platform for growth and enable it to easily comply with granular industry requirements. The platform is designed to fit every business like a glove, delivering automation and operational enhancements that pave the way to true digital transformation.” — Tradearabia News Service

 

Data V Tech is proud to be one of the leading ERP vendors in the Asia Pacific. We have implemented Epicor ERP for many enterprises and organizations in Vietnam and China, particularly in the pharmaceutical industry. For direct consultation, please feel free to contact us.

Learn about Epicor ERP in the wake of COVID-19 and get ready for the future.

how artificial intelligence fights Coronavirus

Coronavirus: How Artificial Intelligence, Data Science And Technology Is Used To Fight The Pandemic

Since the first report of coronavirus (COVID-19) in Wuhan, China, it has spread to at least 100 other countries. As China initiated its response to the virus, it leaned on its strong technology sector and specifically artificial intelligence (AI), data science, and technology to track and fight the pandemic while tech leaders, including Alibaba, Baidu, Huawei and more accelerated their company’s healthcare initiatives. As a result, tech startups are integrally involved with clinicians, academics, and government entities around the world to activate technology as the virus continues to spread to many other countries. Here are 10 ways of artificial intelligence, data science, and technology are being used to manage and fight COVID-19.

1. AI to identify, track and forecast outbreaks

The better we can track the virus, the better we can fight it. By analyzing news reports, social media platforms, and government documents, AI can learn to detect an outbreak. Tracking infectious disease risks by using AI is exactly the service Canadian startup BlueDot provides. In fact, the BlueDot’s AI warned of the threat several days before the Centers for Disease Control and Prevention or the World Health Organization issued their public warnings.

2. AI to help diagnose the virus

Artificial intelligence company Infervision launched a coronavirus AI solution that helps front-line healthcare workers detect and monitor the disease efficiently. Imaging departments in healthcare facilities are being taxed with the increased workload created by the virus. This solution improves the CT diagnosis speed. Chinese e-commerce giant Alibaba also built an AI-powered diagnosis system they claim it is 96% accurate at diagnosing the virus in seconds.

3. Process healthcare claims

It’s not only the clinical operations of healthcare systems that are being taxed but also the business and administrative divisions as they deal with the surge of patients. A blockchain platform offered by Ant Financial helps speed up claims processing and reduces the amount of face-to-face interaction between patients and hospital staff.

4. Drones deliver medical supplies

One of the safest and fastest ways to get medical supplies where they need to go during a disease outbreak is with drone delivery. Terra Drone is using its unmanned aerial vehicles to transport medical samples and quarantine material with minimal risk between Xinchang County’s disease control center and the People’s Hospital. Drones also are used to patrol public spaces, track non-compliance to quarantine mandates, and for thermal imaging.

5. Robots sterilize, deliver food and supplies and perform other tasks

Robots aren’t susceptible to the virus, so they are being deployed to complete many tasks such as cleaning and sterilizing and delivering food and medicine to reduce the amount of human-to-human contact. UVD robots from Blue Ocean Robotics use ultraviolet light to autonomously kill bacteria and viruses. In China, Pudu Technology deployed its robots that are typically used in the catering industry to more than 40 hospitals around the country.

6. Develop drugs

Google’s DeepMind division used its latest AI algorithms and its computing power to understand the proteins that might make up the virus, and published the findings to help others develop treatments. BenevolentAI uses AI systems to build drugs that can fight the world’s toughest diseases and is now helping support the efforts to treat coronavirus, the first time the company focused its product on infectious diseases. Within weeks of the outbreak, it used its predictive capabilities to propose existing drugs that might be useful.

7. Advanced fabrics offer protection

Companies such as Israeli startup Sonovia hope to arm healthcare systems and others with face masks made from their anti-pathogen, anti-bacterial fabric that relies on metal-oxide nanoparticles.

8. AI to identify non-compliance or infected individuals

While certainly a controversial use of technology and AI, China’s sophisticated surveillance system used facial recognition technology and temperature detection software from SenseTime to identify people who might have a fever and be more likely to have the virus. Similar technology powers “smart helmets” used by officials in Sichuan province to identify people with fevers. The Chinese government has also developed a monitoring system called Health Code that uses big data to identify and assess the risk of each individual based on their travel history, how much time they have spent in virus hotspots, and potential exposure to people carrying the virus. Citizens are assigned a color code (red, yellow, or green), which they can access via the popular apps WeChat or Alipay to indicate if they should be quarantined or allowed in public.

9. Chatbots to share information

Tencent operates WeChat, and people can access free online health consultation services through it. Chatbots have also been essential communication tools for service providers in the travel and tourism industry to keep travelers updated on the latest travel procedures and disruptions.

10. Supercomputers working on a coronavirus vaccine

The cloud computing resources and supercomputers of several major tech companies such as Tencent, DiDi, and Huawei are being used by researchers to fast-track the development of a cure or vaccine for the virus. The speed these systems can run calculations and model solutions is much faster than standard computer processing.

In a global pandemic such as COVID-19, technology, artificial intelligence, and data science have become critical to helping societies effectively deal with the outbreak.

Source: Bernard Marr


With the assistance of ERP software, many manufacturers in Vietnam and China remain active during this pandemic. This solution has proved its high value during this crisis as it allows workers to work from home and connection as well as internal/external communication to continue seamlessly. Thus, it indirectly reduces the spread of the virus.

Data V Tech is proud to be one of the leading ERP vendors in the Asia Pacific. We have implemented Epicor ERP for many businesses in Asia Pacific. For direct consultation, please feel free to contact us.

new demands on ERP

The Future of AI and Four New Demands on ERP Systems

Artificial intelligence (AI) will have a significant impact on companies and their business models over the next five years—85 percent of CEOs surveyed in PwC’s 22nd Annual Global CEO Survey are convinced of this. But with only 33 percent having dipped their toe into AI for ‘limited uses’, and fewer than one in ten using it on a wide scale, the range of applications has been limited so far. However, this is soon set to change. Despite the use of AI being a distant dream for many businesses, the current maturity of intelligent technologies and the expectations of Enterprise Resource Planning (ERP) systems in particular—to support innovations—have fundamentally changed business demands.

Intelligent ERP is not based on a specific technology but on the ability of an ERP system to access a variety of technologies for intelligent functions.

ERP systems need to lose their cumbersome heritage and open up to third-party applications, in order to help businesses benefit from technological innovations more quickly. This is a demand that ERP providers and user companies must meet in equal measure, as set out in the following four expectations for AI-enabled ERP.

Expectation 1: Flexible Process for the Introduction of Intelligent Technologies

Intelligent ERP is not based on a specific technology but on the ability of an ERP system to access a variety of technologies for intelligent functions. In most companies, this starts with automating repetitive routine processes in the background. In time, other functionalities are added—such as Machine Learning and Deep Learning for error detection in production, predictive analytics for demand planning and forecasts, Natural Language Processing for Voice-controlled systems in production or in the warehouse, and learning algorithms for autonomous systems.

This approach ensures the cost-effectiveness of innovations and simplifies their acceptance in everyday work. On the role of intelligent ERP, IDC research manager, Alexandros Stratis, states, “An assistive user interface is key in enabling today‘s knowledge workers to become the digital knowledge workers of tomorrow, and though true conversational interfaces are a future goal, the quality of the interaction will improve over time, enabling flatter organizations, a fluid work environment, and goal-oriented and redefined back-office processes.”

ERP systems must, therefore, be able to integrate with innovative applications and grow according to a company’s requirements.

Expectation 2: Innovations as Scalable Web Services

Intelligent systems require a significant amount of data to identify trends, patterns, and correlations, as well as the ability to learn and draw conclusions. The IT systems required for this only make economic sense as cloud or web services. This has two positive consequences—access to intelligent technologies is open to companies of all sizes, and adoption is no longer a question of the IT budget. Technologically, however, it requires modernization of an ERP system that is based on a corresponding industry platform in the software architecture, such as Microsoft .NET, in order to access Azure’s resources seamlessly.

Having an ERP platform, which communicates within this case—Microsoft Azure makes it comparatively easy to connect a company’s own processes with Intelligent Cloud services and AI resources, such as Intelligent Edge and Cognitive services. This can provide Internet of Things (IoT) ‘Plug and Play’ capabilities—to connect IoT devices seamlessly to the Cloud— or AI functionality, such as Machine Learning for decision support or Language Understanding Intelligent Service (LUIS). This is even possible if taking a hybrid cloud approach for on-premises ERP installations or as part of a pure Cloud ERP environment.

Expectation 3: Domain Expertise for Faster Deployment of Intelligent Systems

With a Forbes Insights survey suggesting that 44 percent of respondents from the automotive and manufacturing sectors consider AI as ‘highly important‘ to the manufacturing function in the next five years, and almost half (49 percent) stating it as ‘absolutely critical to success‘, domain expertise will be crucial to realizing this expectation.

Even though access to intelligent technologies via web services makes it easier for companies to take advantage, they are not necessarily an out-of-the-box solution for industrial use. It is important to work with a supplier that understands industry specifics, as well as the semantics of ERP data. The domain expertise of an ERP provider for certain industry requirements or functional areas is decisive for intelligent systems to reliably and quickly achieve the required optimization in processes.

Expectation 4: Significant Gains in Operating Efficiencies

The current volatile economic climate means that managers are currently concentrating on their own optimization. According to PwC’s 22nd Annual CEO Survey, 77 percent of CEOs across the globe are committed to driving revenue growth through internal measures to improve operational efficiency. Organic growth is paramount, with new markets or strategic alliances currently playing a subordinate role.

With companies setting high standards when it comes to established IT systems in terms of efficiency, the expectations and innovative advantages that ERP modernization must deliver are also great.

When planning to upgrade an existing ERP system, fundamental modernization is often considered as preparation for a higher level of automation through intelligent technologies.

The Future of Intelligent Technologies

ERP has traditionally been responsible for organizing information, generating reports, and visualizing critical real-time data via dashboards. However, today’s businesses want intelligent technologies to be able to recognize trends and patterns, make recommendations for action, take into account different interrelationships, and automate complex processes.

The degrees of freedom of modern ERP platforms—that are available as on-premise and cloud models—will help meet this demand. ERP provides current system requirements to achieve associated process improvements, at the same time as giving the prerequisites required to take steps towards the use of intelligent technologies.

Source: Andy Coussins


Data V Tech is proud to be one of the leading ERP vendors in the Asia Pacific. We have implemented Epicor ERP for many businesses in Vietnam and China. Please feel free to contact us to find the most suitable and flexibel ERP for your business.

artificial intelligence and erp

Artificial Intelligence Transforms ERP

Like many other areas of technology, artificial intelligence and machine learning are on the verge of transforming ERP business management systems. 

Yours will see some of these innovations when existing software platforms are upgraded and others rolled out in new products.

Almost every new piece of software on the market by the end of 2020 will leverage AI technology in one way or another, according to an analysis by Gartner. And by the end of 2021, 80% of all emerging technology will use machine learning as part of its functionality.

It’s obvious, then, that the next generation of centralized ERP (enterprise resource planning) systems that manage a company’s business functions from sales to human resources will benefit from these breakthroughs

The Rise of Chatbots

Top 10 Chatbot Development Companies You Can Hire - IQVIS Inc.

One of the areas that have seen the most progress in CRM customer management systems, where chatbots, which simulate conversations with humans, handle many customer queries and radically reduce waiting times for live personnel.

Chatbots are becoming ubiquitous in customer service scenarios, and the data they generate is forming the basis for new improvements.

Beyond the front end of your business, AI can also achieve considerable efficiencies within your overall ERP setup. Using the data available to your company from existing customer interactions, it can provide new opportunities for sales and marketing teams.

Artificial intelligence also makes inventory management more efficient. Some of the tasks supported by ERP function in the nexus between cash reserves and stock, and between overproduction and underproduction. The addition of AI, however, can deliver even more efficiencies, including an additional platform for analysis incorporating complex trends that can, in turn, provide your management with new capabilities in forecasting.

All this can – and should – be integrated into your ERP platform.

Fewer Storage Headaches

With more efficient inventory management, fewer issues will arise around storage capacity or compensating for unanticipated shortfalls.

Another area where AI is already making an impact in the ERP universe is its significant contribution to reducing costly manual errors. ERP has already seen higher levels of automation evolving into development over the last five years or so, but AI breakthroughs offer the potential for even further levels of automation.

Are we yet in a position for AI to manage much of your production processes without the need for human intervention? I have to answer…not yet.

But in some industries, such as auto manufacturing, increasing levels of automation have meant that artificial intelligence could have a quicker impact on ERP platforms than on others.

Key takeaways

3 Key Takeaways from Social Media Marketing World
  • Artificial intelligence is poised to become a ubiquitous component in the next generation of technology applications. This includes ERP platforms.
  •  AI will be introduced in your ERP system gradually, partly by updates and partly by new product launches.
  • AI will bring significant benefits to ERP platforms, drawing strategic insights from operational and customer data and making production processes far more efficient. It will also help reduce manual errors.
  • The technology also will bring more integration benefits, linking data from the customer relations segment of your business with the product and delivery side.
Author: Cormac Bracken