What is the importance of Learning Management Systems in Education?

 

In modern education, Learning Management Systems (LMS) have become an increasingly vital tool for students and educators. With their efficiency, effectiveness, and convenience in managing and delivering educational content and resources, LMSs (Learning Management System) offer a centralized platform for all course materials, assignments, and deadlines. 

One of the most notable advantages of LMSs is the ability to provide students with 24/7 access to course materials, allowing them to retrieve lecture notes, textbooks, and multimedia resources at their convenience. This feature is particularly helpful for students with busy schedules, as it provides them with the flexibility to manage their learning in their own time. 

In addition to providing convenient access to course materials, LMSs offer interactive learning tools that enable students to collaborate with their peers and receive immediate feedback from instructors. Discussion forums, live chats, and video conferencing are just a few of the features that students can utilize to enhance their learning experience. 

Another notable benefit of LMSs is their ability to create personalized learning experiences for students through adaptive learning technologies. By adjusting course content and assessments to meet students’ specific learning styles, preferences, and needs, LMSs ensure that students receive the instruction and support they need to succeed and achieve their learning goals. 

Automated grading processes within LMSs provide timely feedback to students, allowing them to identify areas for improvement and capitalize on their strengths. This feature is particularly useful for students who may struggle with traditional assessment methods or require additional support to meet their learning objectives. 

Furthermore, LMSs offer improved organization for students by providing a centralized platform for all course materials, assignments, and deadlines. This feature helps students stay organized and manage their time effectively, particularly those who are juggling multiple courses or who may struggle with time management. 

LMSs are not only beneficial for students, but they are also a crucial tool for educators. LMSs provide educators with a means of delivering and managing educational content and resources effectively, tracking student progress, and providing timely feedback. With LMSs, educators can create and deliver course materials, assignments, and assessments, ensuring that students receive a high-quality learning experience and have the support they need to achieve their learning goals. 

In addition to providing a means of delivering and managing educational content and resources, LMSs offer educators the ability to create interactive learning tools, collaborate with colleagues, and monitor student progress. Furthermore, LMSs can aid educators in identifying areas for improvement in their teaching methods, allowing them to refine their approach and provide a better learning experience for their students. 

In summary, LMSs are an essential tool for modern education, benefiting both students and educators alike. LMSs offer a centralized platform for all course materials, interactive learning tools, personalized learning experiences, timely feedback, and improved organization for students. For educators, LMSs provide a means of delivering and managing educational content and resources effectively, ensuring that students receive a high-quality learning experience and have the support they need to achieve their learning goals. 

As technology transforms the education landscape, LMSs will become an increasingly valuable tool for educators and students. By utilizing LMSs, educators can provide students with the support they need to succeed, while students can enhance their academic performance and achieve their learning goals. 

Are you looking for an advanced learning management system that can provide your students with the flexibility, interactivity, and personalized experience they need to succeed? Look no further than Adroit LMS by Xaltius.  

Adroit offers 24/7 access to course materials, interactive learning tools, and adaptive learning technologies that can enhance your students’ learning experience and help them achieve their goals. With Adroit LMS, educators can easily deliver and manage educational content, track student progress, and provide timely feedback. Give your students the support they need to succeed with Adroit. 

 

 

Let’s connect for LMS Assistance.

Let's Talk

The Importance of Cybersecurity in the Age of Digital Transformation

Cybersecurity has become a critical issue in today’s digital world. With the increasing reliance on technology and the Internet, protecting sensitive information and critical systems from cyber threats has become essential. As we enter the age of digital transformation, cybersecurity is more important than ever before. 

Digital transformation refers to the integration of technology into all areas of business, leading to fundamental changes to how companies operate and deliver value to customers. This transformation has given rise to a new generation of digital businesses and services and has increased the amount of sensitive information stored online. 

As a result of this increased reliance on technology, cyber threats have become more sophisticated and widespread. Hackers, cyber criminals, and nation-state actors are constantly searching for vulnerabilities to exploit for their own gain. This can lead to data breaches, theft of sensitive information, and disruptions to critical systems, with devastating consequences for businesses and individuals. 

Cybersecurity is the practice of protecting computer systems, networks, and programs from digital attacks, theft, and damage. It involves implementing a range of security measures to prevent unauthorized access, protect sensitive information, and ensure the continuity of critical systems. This includes everything from firewalls, antivirus software, and intrusion detection systems, to employee training, risk assessments, and incident response plans. 

One of the key challenges in cybersecurity is keeping up with the constantly evolving threat landscape. As technology continues to advance, so too do the methods used by cyber criminals to attack it. This means that businesses must constantly adapt and improve their security measures to stay ahead of these threats. 

In addition to protecting sensitive information, businesses also have a responsibility to their customers to protect their personal data. In the age of digital transformation, customers are entrusting companies with increasing amounts of personal information, such as their name, address, and financial details. If this information is compromised, it can have profound consequences for both the customer and the business.  

Cybersecurity is not just an IT issue; it is a business issue. It affects all aspects of an organization, from its reputation and financial stability to its ability to deliver products and services to customers. As such, it is essential that businesses take a comprehensive and proactive approach to cybersecurity. 

In conclusion, in the age of digital transformation, cybersecurity is more important than ever before. With the increasing reliance on technology and the growing threat of cyber-attacks, it is essential that businesses implement strong security measures to protect sensitive information and critical systems. Cybersecurity is not just an IT issue; it is a business issue that affects all aspects of an organization. By taking a proactive approach to cybersecurity, businesses can ensure their continued success and protect their customers in the digital age. 

Let’s connect for AI Assistance.

Let's Talk

7 Innovative Digital Transformation Trends for 2021

Change is one constant in life. For the world of technology, change only means one thing—pushing the boundaries in search of more innovative developments.  Digital transformation (DX) is the unification of digital technology and a business, company, or organization. Digitizing various processes can boost efficiency and allow services and products to improve by leaps and bounds.  In 2021, there’s no way for any organization to stay relevant without keeping up with these new DX trends:
  • Cybersecurity

Whatever the industry, security is one of the most important considerations, especially since so many people are now working remotely. Consequently, so many processes have migrated online. These days, financial fraud or theft happens online more often than not, and data breaches cost companies an average of $3.86 million in 2020. Thus, implementing new and improved cybersecurity measures is crucial in fighting back.  The 2021 cybersecurity trend is a movement from reaction to proactive prevention. The focus now is on thwarting hackers’ attacks, rather than trying to mop up the mess. One approach is the zero-trust security model (ZTA). This is a system that works off the assumption that all network devices are untrustworthy and rely on authorization policies, authentication steps, and strict access control to mitigate risks. An example of this is Microsoft’s implementation of a ZTA security model a few years ago. The increasing use of mobile computing, Bring Your Own Device (BOYD) policies, cloud-based services, and the internet of things (IoT) prompted the move. Initially, the scope included common corporate services on Windows, MacOS, Android, and iOS, which are then used by the corporation’s employees, partners, and vendors. The corporation then expanded the focus to include all applications used on Microsoft. The corporation introduced the use of smart-card multi-factor authorization (MFA) to control administrative server access. It later extended this to include users who access resources beyond the corporate network. Eventually, the smart cards were exchanged for a phone-based challenge and the Azure Authenticator application. Microsoft also implemented device verification, access verification, and service verification. 

  • Data Analytics

One universal concern for businesses is the generation of revenue, and to grow that, they need to know what works and what doesn’t. The world is moving towards automation of processes and an increased use of AI to perform tasks that were previously manually performed.  Since the COVID-19 pandemic, many businesses have by necessity moved online; apart from this, the traditional AI techniques that relied on previous statistics and information are potentially becoming ineffective because of the vast changes of the past year. AI systems are heading towards working with “small data” instead of historical data. Data science developments and the use of cloud technology are closely linked, especially when it comes to using data as a service (DaaS), granting on-demand access to information without relying on proximity. Phoenix-based mining company Freeport-McMoRan is a fine example of how data-driven decisions can transform a business. Chief operating officer Harry ‘Red’ Conger told McKinsey Digital that real-time data, AI, and the company’s veteran metallurgists’ and engineers’ institutional knowledge combined to lower operating costs, bolster economic resilience, and speed up decision-making. In 2018, the company unveiled a $200 million plan to expand the capacity of its Bagdad, Arizona, copper mine. When copper prices plunged a few months later, however, they scrapped the plan. Not long after, the company started building an AI model that could boost productivity. Data scientists analyzed and challenged existing operations, and AI showed how they could better use equipment. Working together, the data scientists, engineers, and metallurgists made changes that led to the mine’s processing rate to increase by 10%. The company has since implemented the AI model in eight of its other mines. 

  • Democratization of Innovation

Democratization in the digital transformation field refers to the shift away from a provider-focused model towards a user-focused one.  Companies have a tendency to create fairly uniform products that are quickly being pushed aside by individuals’ and small businesses’ desires for innovations that are specific to their field. Developments are no longer going to be withheld by a smaller clique of establishments but made available to a much wider group of users.  According to the WorldBlu list of freedom-centered organizations, New Belgium Brewing in Fort Collins, Colorado, is a business that has democratized innovation. Founder Kim Jordan said the brewery involves all its workers in the business’ strategic planning every year. Jordan also encourages open communication, trust, engagement, and inclusivity, and has an open-book approach to management.

Revolutionize your business with DX today.

Let's talk
  • The Cloud

Many people use the cloud for personal activities, and businesses already know the importance of using its capabilities to their full potential. In the world of COVID, where so many employees have transitioned to remote work, the worldwide ease of access to the cloud is imperative. In 2021, technology is moving towards the use of multi-tenant clouds and hybrid cloud models.  Organizations are letting go of the belief that it’s best to use a single cloud vendor and are venturing into the area of hybrid clouds. It’s predicted that by 2022, over 90% of companies will have transitioned to hybrid cloud technology consisting of private clouds, various public clouds, and legacy platforms. Toyota offers an example of how cloud technology can enhance its offering. The vehicle manufacturer used the cloud to transform its cars from regular vehicles into connected platforms. Apps connect the cars to Microsoft Azure-hosted social media sites to track electric vehicle reward points and to offer other elements that improve the customer experience.  

  • Real-Time Data Processing

Financial establishments that required immediate data processing and updates to provide a service primarily made use of this technology. There’s an ever-increasing need for the instant delivery of answers—within a second or two.  Change in the business and technology sectors is constant and accelerating, and that requires real-time processing; processing that is not only fast but automated and reliable too. Development in this field gears itself towards flexibility, cost-effectiveness, and scalability.  Nissan uses real-time data analytics to make decisions that are appropriate for local markets. The automobile manufacturer uses Google analytics e-commerce tracking to obtain product preference data, such as the colors, models, and categories of the vehicles that are in demand in each market. The company uses Hortonworks Data Platform for its data lake, which includes driving, quality, and other data from across the company’s operations.

  • Contactless Solutions

Another effect of COVID has been the drastic shift away from face-to-face interactions towards virtual connections—from family get-togethers to business meetings. Virtual meeting platforms such as Zoom have taken off because of social distancing.  Contactless solutions also include contactless payments, which are becoming more and more popular for businesses providing a public service. Tap to pay debit or credit cards has almost become the norm, and they do away with the need for multiple people to handle the same payment terminal.  Apart from contactless payments, there’s also been a surge in contactless fulfillment. This digital development has seen the rise of online shopping. This isn’t only about purchasing items on sites like Amazon, but also ordering groceries and other smaller products from local businesses and receiving them by door-to-door delivery or arranging curbside pickup. Many small, medium and micro enterprises (SMMEs) are among the South African businesses that have seen how contactless options can transform companies’ operations. Nedbank launched tap-on-phone functionality for SMMEs in October 2020, and customers have responded well to the option of tapping their cards rather than swiping them and entering their PIN number. A MasterCard study indicated that 75% of South Africans used contactless payment methods when given the opportunity. 

  • Development and Wider Launch of 5G

Contrary to what conspiracy theorists believe, 5G is a massively positive development that’s set to revolutionize internet use by upgrading response time, improving speed drastically, and granting greater ease of access for multiple connected devices.  5G promises to deliver to both telecom operators and users. For individuals, the step up from 4G will bring vast improvements in internet access through a low latency rate and larger access areas. No more endlessly searching for Wi-Fi or having to move your laptop around in the hopes of a stronger signal. For operators, 5G offers the ability to shift their value proposition, allowing them to change from network capacity providers to full-scale, innovative digital partners. The spectrum for growth is huge, as are the opportunities for increasing revenue.  Samsung is one of the biggest brands globally already capitalizing on 5G. The brand’s range of Galaxy 5G devices takes connectivity to new heights and has set the benchmark for other mobile manufacturers to follow. 

Looking to the Future

The past 18 months have brought about a multitude of changes, challenges, and crises for individuals and businesses alike. Some industries have suffered more than others, but it seems unlikely that things will go back to “normal,” at least in the next few years.  There are speculations that the world is about to enter an age of pandemics, which will cement the current trend of remote working, online shopping, and reduction in face-to-face interactions across all industries. These changes have forced industries to innovate at a rate that has previously been difficult to sustain. Change has become the order of the day, and to survive, organizations have had to dedicate every effort to stay ahead of the curve.

Evolve to Thrive

Every species undergoes evolution over centuries and millennia, and technology is no different. The speed of change may differ, but the purpose is the same: to adapt to an unstable environment and prepare for the future.  These digital transformation trends will positively drive change and pave the way for new developments that will build on existing structures.

Digital Transformation Roadmap for Businesses

The following map is one approach to digital transformation for an organization. By following these steps, your organization can update practices and gain a competitive edge over those who’ve yet to embark on the transformation process. Step 1 – Develop innovative business models and experiences. Step 2 – Encourage a digital DNA culture within the organization. Step 3 – Update existing infrastructure with new technologies. Step 4 – Use data, not gut reactions, to drive the decision-making process. Step 5 – Find and collaborate with innovative and creative partners.

Ready to start your digital transformation journey?  

Digital transformation is at the core of pushing the business forward. When done the right way, it can help businesses achieve sustainable growth and stay ahead of their competition. Building a successful digital transformation strategy doesn’t have to be a challenge. With the right support and expertise, you can adapt to change and outpace evolving demands. Xaltius is a trusted partner for these projects.  Our experience has proven that a successful digital transformation strategy needs to focus on two things. First, your strategy must include ways to manage evolving business goals. These strategies also need to account for the cultural change that comes with those advancements. Our Data Scientists provide the kind of external perspective, agility, and understanding required for real innovation.   When you partner with Xaltius, you’ll have access to highly skilled professionals, Business Analysts, Data Engineers, Corporate Trainers, and all the ancillary roles for the delivery of your strategy. Each of us at Xaltius is directly accessible to your project managers. We are a Singapore-based IT consultancy providing customized, cost-effective IT solutions to enterprises.  Let us know if we can do anything for you.  To learn more about what we can do for your organization, talk to an industry expert – Book a consultation.

About the Author: This article is written by Kristie Wright. Kristie Wright is an experienced freelance writer who covers topics on logistics, finance, and management, mostly catering to small businesses and sole proprietors. When she’s not typing away at her keyboard, Kristie enjoys roasting her own coffee and is an avid tabletop gamer.

How AI Can Improve Pricing and Discount Management?

Many companies and businesses struggle with customer engagement, especially when it is related to promotion and pricing strategies. Deciding the prices of products or services is not an easy task. It requires a lot of research and hard work to come up with the right price. This is where Artificial Intelligence (AI) comes in.

AI technology has penetrated almost all the major industries in the world. Recently, it is being introduced in retail, and eCommerce businesses to promote more effective pricing and discount management. For example, both businesses and individuals use Ximple and similar platforms to compare the prices of similar products. It helps you to browse through different price rates of a particular product offered by different brands. That being said, let’s find out how AI improves pricing for businesses.

AI and Pricing

Brands can’t keep up with the fast-changing trends and conduct surveys to look for opportunities. Providing regular rotation of discounts to customers is more challenging than it sounds. It is because of this reason that retailers are utilizing the power of AI and machine learning to roll out promotions and discounts. AI is highly efficient when it comes to setting optimal prices. It analyzes both competitive and historical data, customer behaviour, and seasonal trends to come up with the right pricing.

Intelligent AI can help retailers with dynamic pricing based on customer engagement reports. To set optimal prices for thousands of products weekly requires your manager to be a superhuman. It is nearly impossible to handle so many things for a human. This is where the need for AI comes in as it can help with fast decision making.

Retailers opting for AI-led price optimization have to go through several stages. They need to learn to set optimal prices by stock-keeping unit, channel, product portfolio, point of sale, and also by customer. This helps in improving profitability. In other words, it can help boost sales and revenue by up to 9% or more. (Read – Diving Head First into Deductions- and Why It’s Costing You)

Drive profit margins higher with Analytics.

Let's talk

Why is AI so effective for pricing and discount management?

AI makes use of self-learning algorithms to scan huge amounts of data and check through endless pricing scenarios to come up with the most relevant price for products and services. This is why more brands are implementing AI in the retail pricing landscape.

Algorithm-based models consider several unrevealed relationships between the products in the portfolio to suggest individual prices to boost sales and revenue for brands. AI can be used to automate all the labor and time-consuming tasks and thus, allow your team to make faster customer-centric decisions.

AI & Discount

Knowing what discount to offer is always a tricky situation. You want to get more customers, but at the same time, you don’t want to lose out more on profit. Luckily, you have AI to help you decide the right discounts for your products and services.

An efficient AI system can suggest the ideal discount rate and ensure that you are making more profit from it. It looks into specific features of each past deal that was lost or won. This is what makes AI so useful and efficient in discount management.

Getting Ready For AI-Driven Pricing

Price optimization led by AI requires retailers to follow five steps.

This include:

  • Prepare the required data
  • Hire a technological provider or look for an in-house solution
  • Select products for AI to suggest prices
  • Educate and train managers
  • Keep the system up and running

AI is a very powerful and beneficial technology when used correctly. Retailers can gain a lot from implementing the power of AI in price and discount management.

This article is written by Purtika Choudhury Arc Digitech (arcdigitech.com)

Artificial Intelligence in Tesla Vehicles

Tesla being a tech pioneer has become a leading name in the world of electric vehicles. The usage of the latest artificial intelligence technologies likes autopilot in cars has created curiosity among passionate automobile enthusiasts. Tesla has made use of the customer datasets for data analytics to predict and gather information about customer requirements and used it to improve the features of its vehicles. The current AI technologies that Tesla is using in its cars are based on unsupervised machine learning.

AI features in Tesla vehicles-

  • AI integrated chips: Tesla aims to create AI integrated chips that will enable cars to navigate through freeways and even traffic. Approximately 6 billion transistors constitute the circuit of each Tesla chip. These Tesla chips are 21 times faster than the original Nvidia chips and 20% cheaper too. They have 32 megabytes of high-speed SRAM memory on the chip because of which fetching data is faster and easier compared to DRAM.

For better performance, Tesla automobile systems have two AI chips. Both the chips make separate assessments of the traffic and danger situation around the cars. The assessments are then matched and the car is guided accordingly if the outputs are the same. If there is ambiguity in the outputs obtained from the chips, then revaluation is done until a safe and suitable decision is taken. Thus, dual chips will enable better control over the navigation in self-driving Tesla cars.

 

  • Autopilot – Autopilot features enable cars to steer, accelerate, and brake automatically in the lane. All new Tesla cars since 2016 come with Autopilot which includes Traffic-Aware Cruise Control and Autosteer features.

Working of Autopilot-It is built on the principles of deep neural network. It uses cameras, ultrasonic sensors, and radar to perceive the environment around the vehicle.  The sensors and cameras provide the drivers with an awareness of the surroundings which are later processed in a matter of milliseconds to help make the driving safer and less stressful. Radar is used to see and measure the distance around the cars in light, dark, and different weather conditions. Ultraviolet techniques measure proximity in all the cases and the passive video recognizes objects around the car and ensures safe drive. Also, autopilot is made for the driver’s assistance and this feature does not turn Tesla into a self-driving car. Drivers are frequently reminded to keep their hands on the steering wheel. Failure to do so triggers a set of warnings to take hold of the wheel. If ignored further, the car starts to slow down and finally stops. Drivers can always override autopilot features by steering, applying brakes, or using cruise control stalk to deactivate.

Other distinct features in Tesla cars:

  • Design of AI chips– A Tesla AI chip has a very fast processor. It runs at 2GHz frequency and can perform up to 36 trillion operations per second.
  • Software version 10.0– Following are the features of the latest software version of Tesla, Version 10.0:
    • Tesla Theatre– The new version allows access latest OTT platforms and Tesla tutorial videos for learning more about the Tesla cars. A karaoke feature has also been added to the system.
    • Smart summon– This version enables customers to purchase Full self-driving capability or Enhanced Autopilot to navigate during parking or reach a particular destination as long as the car is in the line of sight of the customer.
    • Security– The sentry mode adds a unique protection layer to Tesla vehicles by monitoring the environment around the car when it is unattended. And the video clips taken while the vehicle is in sentry mode are also stored in the USB drive automatically.
    • Browser access on Model 3 vehicles– Browsers and various apps can be accessed on Model 3 Standard Range and Standard Range Plus vehicles using Wi-Fi.
  • 360-degree visualisation-Tesla cars use a neural network to process 8 cameras placed in the system. They provide a 360-degree visualization of surrounding vehicles at up to 250 metres. These cameras provide a deeper understanding of objects around the automobile by giving access to views from different angles thus enabling a safer drive. Twelve updated ultrasonic sensors improve the vision by detecting both hard and soft objects around the vehicle

Find out how Artificial Intelligence can refine your business.

Let's talk

How do the 8 cameras work? When a vehicle is detected in the blind spot of a Tesla car, the lane line shown in the on-screen visualization turns red. Along with the information of the vehicles in the adjacent lanes, the vehicle types like bikes and trucks are also displayed to provide a better understanding of the surroundings. Other than this, Model S, Model X, Model 3 vehicles can also record videos from the forward-facing camera and store them.

  • Batteries and propulsion system– Tesla cars use lithium-ion batteries. The nickel-cobalt-aluminum-lithium chemistry accounts for Tesla’s long-range performance as these cylindrical batteries made of these expensive metals provide more energy density than the batteries in other battery-electric vehicles. And as far as the engines, these cars use electric motors that have two moving parts and single-speed transmissions that have no gears. Their drivetrains have 17 moving parts as compared to other BEVs which have about 200, thus making the Tesla cars unique.

 

Tesla has continuously strived to make compelling cars that are fast, look unique, and have the latest features that leverage security, safety and convenience.  All in all, it can be concluded that in a pool of automakers, Tesla has emerged successfully as a leading AI-based automobile company.

Countries leading the way in AI

Merely one mention of artificial intelligence invokes the pictures of robots, chatbots, or self-driving cars. Artificial intelligence, a branch of computer science deals with devising technology and machines that are capable of performing tasks that require human intelligence. AI is everywhere and it has not stepped down since its invasion. The new decade will witness massive investments by global technology giants into AI technologies.

In the race to acquire and develop the most efficient and ingenious technologies, countries worldwide have been setting guidelines and investing immensely in the field of AI. Following are the statistics of the global AI readiness Index conducted by Oxford Insights and the International Development Research Centre (IDRC) in 2019. The index covers 194 countries and territories and ranks them according to their preparedness to implement AI in the delivery of public services and internal operations. Each country is allocated a score that considers 11 input metrics under 4 clusters: governance, infrastructure and data, skills and education, and government and public services. The report suggests that the rankings are dominated by countries that have robust economies, an abundance of data and information, and a government with a strong vision.

  • Singapore comes first in the list of artificial intelligence readiness with a score of 9.186.
  • The top 20 positions are acquired by Canada, New Zealand, Australia, and some European countries, and Asian countries. China, currently 21st in the global rankings will improve in the upcoming years because of the government’s inclination to optimize data and artificial intelligence.
  • Most of the countries in North America were awarded higher ranks in the list while the African and Asia-Pacific regions were the worst performers.

Country

 Rank Score
Singapore 1 9.186
United Kingdom 2 9.069
Germany 3 8.810
United States of America 4 8.804
Finland 5 8.772
Sweden 6 8.674
Canada 6 8.674
France 8 8.608
Denmark 9 8.601
Japan 10

8.582

 

  • India stands third in the Asia Pacific region after Singapore and Hong Kong and 19th in the global index overall. According to surveys, it is one of the most prepared economies with regard to government readiness to artificial intelligence. But despite this availability, it lacks creativity, innovation, and awareness which are the reasons behind Indian start-ups lagging behind those of the American and other developed countries. 76% of start-ups in India believe that there is a dearth of skilled professionals in the field of AI and hence hesitate from using these technologies in their business. But the established companies like Amazon, Google, and Apple are employing AI technologies like deep learning, language processing, and machine learning and are acquiring start-ups to provide new and improved experiences across their services.
Present and expected Scenario

China, USA, Japan, United Kingdom, and Germany are the leading countries in AI research. China recently announced its intention to become ‘a principal world center of artificial intelligence innovation’ by 2030. And America’s distinct pool of research technology knowledge and business market power will contribute to helping them achieve their AI development objectives.

Although the United States remains highly invested in AI and the latest technologies, it seems likely that China might win over America in the race. Despite having the 5 tech-giants – Amazon, Facebook, Apple, Google, and Microsoft, it looks as if the US will be lagging behind developing countries like China. In the US, the resources are available in ample amounts but are fragmented and the potential isn’t utilized efficiently. Also, the national leadership is quite weak and there is a lack of systematic vision.

On the other hand, China apart from having the latest computers, smartphones, gadgets and other electronic devices is now focusing on system-wide AI. This includes robotics, advanced medical equipment, and autonomous vehicles (AVs). China’s growing internet economy and shift of industries towards data analytics and AI trends will be a major contributing factor in its AI boom. Some examples of Chinese AI companies that are developing are UBTECH Robotics which is developing humanoid robots and SenseTime which is building facial recognition technology.

Thus, although the United States still remains ahead of others in the AI industry, if China implements the policies and strategies effectively, it will soon manage to replace the USA. Therefore, from the increasing demand and usage of AI-driven technologies, it can be concluded that AI, machine learning, and data science will thrive as the most in-demand skills in the near future.

Steer your business in the right direction with AI.

Let's talk

Singapore’s artificial intelligence industry will be booming in the upcoming decade. Singapore is one of the first countries to announce a national AI strategy in 2017. One of the most effective ideas that were put into action by the government of Singapore to achieve this was the establishment of the AI Ethics Advisory Council. This council has been established to assist the government to develop standards and guidelines and issue practical guidance for the voluntary adoption of AI in businesses and organizations. (Everything you need to know about Singapore’s AI strategy)

Singapore is a trailblazer in the Asia-Pacific region when it comes to accepting new technologies. Singapore has chosen five big AI-driven development projects that address national challenges keeping into consideration the impact on society and economy with an aim to become the global hub of AI technologies. Also, educational institutions there have increased emphasis on fields such as mathematics, statistics, computer science, and information technology to allow students to understand the significance and trend of data science, machine learning, and artificial intelligence. Business and management organizations too are focusing on data trends as well apart from their regular curriculum (Analyze data and build stunning reports using our services). UAE and Singapore were trendsetters in bringing AI decision-making at the cabinet-level. They have justified the strengths and strategies that have the potential to make these countries the leading producers of AI technologies.

Present and expected Scenario

China, USA, Japan, United Kingdom, and Germany are the leading countries in AI research. China recently announced its intention to become ‘a principal world center of artificial intelligence innovation’ by 2030. And America’s distinct pool of research technology knowledge and business market power will contribute to helping them achieve their AI development objectives.

Although the United States remains highly invested in AI and the latest technologies, it seems likely that China might win over America in the race. Despite having the 5 tech-giants – Amazon, Facebook, Apple, Google, and Microsoft, it looks as if the US will be lagging behind developing countries like China. In the US, the resources are available in ample amounts but are fragmented and the potential isn’t utilized efficiently. Also, the national leadership is quite weak and there is a lack of systematic vision.

On the other hand, China apart from having the latest computers, smartphones, gadgets and other electronic devices is now focusing on system-wide AI. This includes robotics, advanced medical equipment, and autonomous vehicles (AVs). China’s growing internet economy and shift of industries towards data analytics and AI trends will be a major contributing factor in its AI boom. Some examples of Chinese AI companies that are developing are UBTECH Robotics which is developing humanoid robots and SenseTime which is building facial recognition technology.

Thus, although the United States still remains ahead of others in the AI industry, if China implements the policies and strategies effectively, it will soon manage to replace the USA. Therefore, from the increasing demand and usage of AI-driven technologies, it can be concluded that AI, machine learning, and data science will thrive as the most in-demand skills in the near future.

Guiding you on the digital transformation journey!Our BI & Analytics Brochure

All you need to know about adding Business Intelligence to your digital transformation journey!