Digital transformation also commonly referred to as digitization has been driving the business landscape by storm over the last few years or so. Yes, with most business organizations attempting to optimize and streamline critical operations, the year 2023 is sure to break the glass ceiling in terms of enterprise IT trends and related technological advancements.
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Here are five such groundbreaking enterprises’ IT trends that are deemed to drive the digital transformation wave in 2023 and beyond:
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1. Machine learning is on the cusp of being mainstream
Yes, machine learning is no folklore, since it is already here and happening. Machine learning is at its cusp and is set to take off big and high in 2019 and beyond. It’s just the beginning and we will be witnessing a number of applications and ways where we can leverage machine learning.
In fact, some applications powered by machine learning algorithms like chatbots are already being used as off-the-shelf or over-the-counter solutions. Brace yourselves for smarter CRM solutions in 2019, all thanks to machine learning. Until now, CRM systems would only concentrate on historical customer data delivering insights into data patterns pertaining to customers. However, machine learning will take things a step ahead, since it would add value to the CRM systems. Yes, CRM solutions powered by machine learning would help interpret these past interactions followed by coming up with apt recommendations thus, driving customer engagement to a different level altogether. E-commerce businesses have something to cheer up here since they are the ones that face a good number of transactions and customers on a daily basis.
2. Cybersecurity to become a top-priority investment
Come 2019 we will witness a surge in the number of cyber threats and attacks that hover upon businesses. Yes, cybersecurity will continue to be an unending battle for businesses to tackle. You just can’t ignore the fact that there are more hackers and wicked brains working to hack IT environments than there are heads to protect them.
Enterprises across the globe are expected to invest heavily in cybersecurity in 2023 and beyond. Enterprise IT security in the year 2023 will no longer be limited to protecting sensitive data and keeping hackers away from your systems, since it is the age of AI and big data, businesses will be leveraging novel techniques and tools to protect their data from ransomware, data breaches, etc.
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3. Automation of work and services with AI
Many workers and employees across different industries are of the notion that AI and automation will steal their jobs transforming the way organizations and factories operate. AI aka artificial intelligence though has been doing a lot of rounds stealing jobs, which is nothing but a mere misconception. On the contrary, AI will be making things much easier for us. This is the reason an increasing number of businesses would shift their focus to building a pool of machine learning/AI experts and data scientists for data mining. Because winning the big data game is all about rightful data mining.
AI and ML are rapidly transforming the enterprise, with applications in a wide range of areas, including customer service, fraud detection, supply chain management, and risk assessment. AI is also being used to automate tasks, freeing up employees to focus on more strategic work.
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4. Real-time Enterprise IT is the corner
Real-time enterprise IT infrastructure is one of the biggest hurdles for businesses around the world. Get ready to witness the growth of information technology leaders and CIOs focusing on reshaping IT operations to leveraging emerging enterprise technologies.
Consequently, automation, virtual and augmented reality, artificial intelligence (AI), 5G, etc. would become essential. Apart from these, coming-of-age edge and cloud computing will start moving from a next-gen concept to reality in enterprises in 2019 and beyond.
5. Digital trading platforms for the B2B industry
One of the prominent growth arenas will be B2B digital trading. Yes, tech pundits predict a B2B landscape where customers can connect directly to the supply chain. Advantages range from heightened customer experience to operational efficiency. A business when can provide the right data about future demands, it can easily optimize its inventory as well as production accordingly.
This would be way beyond the integration of the supply chain within ERP systems. Yes, we will witness seamless integration with CRM systems that will further be powered by artificial intelligence and machine learning algorithms to deliver customer intelligence. For example, it would enable a consumer to connect right back to the supplier’s inventory via a mobile app.
6. Cloud Computing
Cloud computing is becoming increasingly popular in the enterprise, as it offers several benefits, such as scalability, flexibility, and cost-effectiveness. Cloud computing can be used to host a wide range of applications, including enterprise resource planning (ERP), customer relationship management (CRM), and business intelligence (BI).
7. Data Analytics
Data analytics is the process of collecting, cleaning, and analyzing data to extract insights. Data analytics is becoming increasingly important for enterprises, as they can use it to make better decisions, improve customer service, and identify new business opportunities.
8. Edge computing
Edge computing is a distributed computing paradigm that brings computing and data storage closer to the end user. This can improve performance and reduce latency for applications that require real-time processing.
9. Quantum computing
Quantum computing is a rapidly emerging technology that harnesses the laws of quantum mechanics to solve problems too complex for classical computers. Quantum computers use qubits, which are quantum bits of information, to store and process data. Qubits can exist in a superposition of states, which means that they can be in multiple states at once. This allows quantum computers to perform calculations that would be impossible for classical computers.
Quantum computing is still in its early stages of development, but it has the potential to revolutionize a wide range of industries, including finance, healthcare, and logistics. For example, quantum computers could be used to develop new drugs, simulate financial markets, and design new materials.
Here are some of the key trends in quantum computing that are expected to shape the industry in the coming years:
- Increased investment: Quantum computing is a rapidly growing field, and there is a lot of investment in research and development. This investment is coming from both private companies and government agencies.
- Improvements in hardware: Quantum hardware is becoming more powerful and reliable. This is due to advances in materials science, engineering, and manufacturing.
- Development of new algorithms: Quantum algorithms are being developed to solve specific problems. These algorithms can exploit the unique capabilities of quantum computers to achieve results that would be impossible for classical computers.
- Collaboration between academia and industry: There is a growing collaboration between academia and industry in the field of quantum computing. This collaboration is helping to accelerate the development of quantum computers and applications.
10. Robotic process automation
RPA is another technology that automates tasks in the enterprise. RPA software can be used to automate repetitive tasks such as data entry, invoice processing, and customer service. This can free up employees to focus on more creative and strategic work.
Robotic process automation (RPA) is a type of IT automation technology that uses software robots, or “bots,” to automate repetitive tasks that are typically performed by humans. RPA bots can be used to automate a wide range of tasks, such as data entry, invoice processing, and customer service.
RPA has been one of the most popular IT trends in recent years, and its adoption is expected to continue to grow in the coming years. There are a number of reasons for this, including the following:
- RPA can help organizations to improve efficiency and productivity by automating repetitive tasks.
- RPA can help organizations reduce costs by eliminating the need to hire and train human workers to perform these tasks.
- RPA can help organizations improve accuracy and compliance by automating tasks that are prone to human error.
RPA is not without its challenges, however. One challenge is that RPA bots can be difficult to integrate with existing IT systems. Another challenge is that RPA bots can be susceptible to cyberattacks.
Despite these challenges, RPA is a powerful technology that has the potential to revolutionize the way organizations operate. As RPA technology continues to mature, it is likely to become even more widely adopted in the coming years.