Leading Digital Transformation Technologies for 2021

The digital transformation market is witnessing substantial growth. Many organizations are adopting digital transformation trends for gaining potential and staying ahead of their competitors. This article will come to you regarding the topmost digital transformation technologies for enterprises in 2021.

Let’s explore these modern-day technologies:
  • Cloud Technology

The advantages of cloud computing are numerous. Flexibility and accessibility are the topmost benefits of moving to the cloud. Besides low total cost associated with cloud technology is one of the major reasons businesses are adopting it.

It can also get into the maintenance of the easily accessible private infrastructure while streamlining the day-to-day functionality. The benefits of cloud bursting while also sharing what needs to be shared and keeping other things private makes it one of the essential entities in 2021. Today more than 85% of businesses are already making use of Sound Technology to store information.

  • Big Data and Real-Time Analytics

Real-time analytics can give the potential to the businesses to stay aware and take action on data immediately once they notice the problems.

Besides, real-time analytics also gives the opportunity of responding to queries within seconds. When the data is unstructured, these tools actively capture the data and store it for analysis.

Therefore, it can reduce the cost of the business to a huge extent. Cloud analytics also makes sure about saving huge data and profiles. For exclusive opportunities for business growth, it’s worth considering big data and analytics because around 99.5% of the collected data never gets analyzed. Besides, less than 50% of the structured data collected from you is used in decision-making.

  • Boosts IoT Scalability

Scalability is the ability to analyze, process and summarize extensive data before sending it to another device. AI-infused IoT devices work towards predictive, prescriptive and continuous analytics to boosts scalability. Predicts the events, prescribes the methods and procedures to be followed and analyzes and provides the best suggestion to work better. Such efficiency is made possible by an AI-powered IoT ecosystem that eases our everyday process.

  • Augmented Reality

Augmented reality is one of the trending solutions for most businesses today that comes with overlaying visual, auditory, and sensory information to enhance the User experience.

That being said, the enterprises are adopting the augmented reality technology to promote the product or services while also launching Novel marketing campaigns and collecting unique user data.

Besides, the minimized learning risks with promoting the experienced-based learning approach are making it quite favorable in every business. Augmented reality is also generating a massive opportunity for the delivery of information and content. Around 88% of the mid-sized businesses are already adopting Augmented reality and integrating it into the corporate sector.

  • Internet of Things

Internet of things is becoming popular and aims to develop internet connectivity for the daily purpose that can work for sending and receiving data effectively. IoT devices are developing the ability for tracking and monitoring things.

Besides, it can lighten the workload with automation. The increased efficiency by saving money and resources also makes them quite favorable for the businesses. Certain revelations suggest the number of cellular IoT connections is expected to reach around 3.5 billion in 2023.

  • Artificial Intelligence and Machine Learning

Artificial Intelligence and machine learning are becoming helpful for businesses to achieve the key goals while obtaining actionable insight, driving critical decisions, and creating exciting new and innovative products.

That being said, the approach works flexibly inaccurate application in the different sectors of the businesses. Machine learning also relies on defining behavioral rules by comparing and examining large data sets for finding common patterns.

Most businesses utilize them today for the incredible power of processing more data than a human being ever could. Digital transformation trend reports suggest that around 48% of the respondents can handle the data quality issues using data analysis AI tools and machine learning. Besides, around 25% of the businesses are already adopting AI Technology into their business processes.

Key Takeaways

Digital transformation ensures helping numerous organizations achieve their end goals more flexibly while increasing their return on investment.

As a business owner, you can prosper by adopting digital transformation trends without wasting additional money, resources, and time.

Leading Cloud Computing Trends In 2021

The 2020 experiences helped us to predict what to expect in 2021 and further. Artificial intelligence (AI), cloud computing and the internet of things (IoT) will continue to transform our lives in the subsequent years.

However, the most renowned use cases related to these technologies are even now significantly assisting us in adapting to the current challenges. This blog post will highlight the existing and futuristic trends in the tech world.

AI will advance the competence and swiftness of cloud computing

AI will be a crucial game-changer in many different ways. We can expect AI to infuse its dominance in the coming years. Not even budgetary constraints or lack of skills will stop cloud services from taking over your organization.

Yes, low-budget and easy-to-operate functions, image processing, language processing, and many more tools will revolutionize our day-to-day work. Cloud toolsets will be widely recognized by enterprises of all dimensions and in all areas. Performance and efficiency are the key indicators of success. And that what you will train your workforce through cloud tools and AI.

AI and cloud computing successfully handled the pandemic situation. Now, fully autonomous vehicles, home applications, smart city infrastructure will feel the presence of AI. Machine learning successfully monitors cloud data centers.

In addition, AI algorithms manage logistic processes, cooling systems, hardware networks, and power usage. AI also minimizes the harmful effects of the environment by providing efficient and highly productive machinery to the industrial fraternity.

Increase in adoption of on-premise and hybrid cloud solutions

Organizations find it challenging to choose between different cloud solutions as each one comes with unique features that offer versatility, performance, safety and security, and compliance.

Therefore, you cannot have one solution that is cost-effective to fit all your needs. Hybrid cloud solutions allow businesses to choose the elements they need for their workforce and have grown immensely popular. However, this approach has led to heavy competition in the market as the service providers offer different models to suit the organization.

If you look at the two marketing giants in cloud services-Amazon and Google initially offered space to customers while Microsoft and IBM allowed customers to choose the tools needed for their business on-premises.

Now, all of them provide various modules to fit the clients’ needs – employing cloud storage to access customer data delivery while enabling users to use their cloud programs and technologies in their on-premises networks. There will be a growing demand to adapt to cloud software where businesses can load their existing data and shift the way they work.

Virtual cloud desktops will boost efficiency across the workforce

Manage your entire workstation through virtual cloud desktops or laptops. Yes, you may now choose to pay for the hours your employees spent on cloud tools, reducing the hardware cost and eliminating the outdated technology.

Desktop-as-a-service has the luxury to receive the latest technology at your disposal at all times. Centralized management that offers better security, employees follow the best practices and improves efficiency. As the model provides greater flexibility, this synchronized technology will become increasingly popular in the coming years.

Music, movies, and now gaming will be enabled from the cloud

Cloud gaming will witness the same popularity as the video streaming offered on Amazon and Netflix in the early years. Cloud gaming will be streamed online on monthly/yearly subscriptions with vast libraries for the gamers to choose from.

In November 2019, Google Stadia – gaming-as-service was launched. Microsoft is soon expected to launch a standalone device for game streaming. And also, you might have the Xbox experience on your TV as Microsoft in talks with several TV manufacturers.

Key Takeaways

Cloud computing is now one of the top technology trends that we believe will remodel our society in the coming years. Leading tech giants are competing to unite all user requirements in different models to provide feasible solutions to all businesses.

Such fierce competition will be the driving force behind how cloud services will evolve in the coming months.

Benefits of Blending AI and IoT Technologies to Business

Artificial Intelligence and the Internet of Things (IoT) are the two crucial technological innovations integrated into industrial practices to improve communication, increase automation, self-monitor and evaluate without human intervention.

IoT deals with acquiring data from different devices connected to the network, while AI deals with processing data from such sources. Thus, the combined possibilities of the two are immense, which businesses can employ to their benefit.

Let’s understand the Internet of Things (IoT)

IoT – call it “things, objects or stuff“. It may range from mobile phones to complex mechanical device. They all connected to the same shared network to send and receive data. IoT has infused into every industry to collect data. The accumulated data is helpful when they give us a meaningful report – that is where AI completes the job.

More industries adopt IoT to capture a vast amount of data from different sources. Such complex data needs an AI to process and analyze data. Needless to say that IoT blended with AI changing today’s business world and redefines how industries and economies carry out their functions.

The increasing demand for AI and IoT

We see the use of IoT devices across the world is increasing every day. By 2027, we will own a whopping 47 billion IoT devices. These staggering numbers are a great business opportunity, and pioneers in this field are working their way out to give their product the advantage by amplifying IoT capabilities in addition to AI. This blog highlights how a blended IoT and AI benefit the business.

  • Increases Operational Efficiency

It is impossible to imagine working with tremendous data using traditional operating methods. Results are not feasible, and it is time-consuming. We need real-time data to facilitate decision making. There is only one way to analyze, correlate and finally identify solutions to complex problems. IoT and AI bring operational efficiency at the highest order to ensure ideal outcomes on the table.

  • Triggering Improved Products & Services

When IoT and AI blended in the right way will give rise to innovations in product and services like the NLP (Natural Language Processing). It is a technology that is continually growing to facilitate better communication among humans and AI devices. Tesla’s self-driving cars are an excellent example of AI working hand in hand with IoT. Each drive becomes even better, and understanding how the cars and pedestrians behave on the road gets smarter by the day.

  • Boosts IoT Scalability

Scalability is the ability to analyze, process and summarize extensive data before sending it to another device. AI-infused IoT devices work towards predictive, prescriptive and continuous analytics to boosts scalability. Predicts the events, prescribes the methods and procedures to be followed and analyzes and provides the best suggestion to work better. Such efficiency is made possible by an AI-powered IoT ecosystem that eases our everyday process.

  •  Enhance Risks Management

One such richness of pairing AI with IoT is predicting an extensive range of risks and automating prompt responses. Such automated warnings and responses save valuable time, empowering efficient risk management.

The Fujitsu wearables offer wide range of safety solutions to its worker. AI-powered algorithms on IoT devices accurately predict human and object behaviour to implement health, safety, and well-being protocols in industrial premises.

  • Trim Down Downtime

Breaks in the manufacturing process will result in huge losses. Such interruptions are often due to machine breakdown, negligence of the maintenance protocols or a sudden equipment failure. AI-enabled industrial machines help us detect such disruptions beforehand to protect the business suffer from unplanned downtime.

Deloitte, using predictive technology, protects the business from lost production time and breakdown risks. Deloitte proactive measures to safeguard machine failures result in the following ways

  • 10-20% of equipment uptime is enhanced
  • 5-10% of reduction of overall maintenance costs
  • 20-50% of the maintenance planning time is saved.
Key Takeaways

Using the combined transformative powers of AI and IoT, industries will be more equipped to face challenges, improve production efficiency, enforce better risk management protocols and provide the competitive edge against all odds.

The disruption will become a routine to shape industrial benchmarks. And these technologies will be the game-changer that will transform and uplift the industrial fraternity.