How does your business adapt to digital transformation? What are the existing technologies you use? Digital technology provides plenty of opportunities to businesses, most especially when COVID-19 caused temporary business closures recently.
The huge shift from traditional to online business activities paved the way for the development of various digital solutions such as applications and software programs, causing a big wave of changes in business processes or digital transformation.
What is Digital Transformation?
The newest innovative change is digital transformation, which offers technological solutions to any size and niche of business. Using computers, applications, and software programs, businesses can reduce manual work, boost automation, enhance customer engagement, and improve productivity and sales.
There are many examples of companies that have embraced digital transformation in their operations that boost their sales and marketing processes. Below are some of the great digital transformation examples you can adopt to leverage your business to innovation and, ultimately, success:
One of the first examples of digital transformation is cloud computing, which plays a vital and active role in digital transformation based on the digital innovators report. This procedure involves managing, storing, sorting, safeguarding, and processing data in a network of servers relying on the Internet.
Cloud computing outpaces storing data in external hard drives or physical storage devices. Businesses can streamline their processes, enhance customer service, reduce costs, and supervise employees more attentively than before because of the peace of mind that cloud security provides.
The right cloud solution for your business will be a game changer, which can take over monotonous tasks and allow you to work on more strategic things. Companies are often using Microsoft Office Professional software solutions to take their business processes to the cloud. With this, businesses can access and store files in a centralized location, collaborate with team members from anywhere, and keep track of progress in real-time.
The three models of cloud technology infrastructure that are vital to digital transformation include the following:
Infrastructure as a Service (IaaS): This basic cloud computing component includes networking and data storage, allowing organisations to have better control and flexibility over their information technology or IT resources.
Platform as a Service (PaaS): This cloud computing model aids businesses in the management of foundational IT infrastructure. Platform as a Service (PaaS) helps improve productivity because it manages software maintenance, resource finding, and capacity planning effectively and efficiently.
Software as a Service (SaaS): This cloud computing provides companies with a functional and finished product. Your service provider manages and maintains the product, streamlining concerns of software usage.
With many years of IT research and development, artificial intelligence came into existence. Digital transformation initiatives include AI-based business systems and operations, such as chatbots and smart devices with the aid of NLP.
Natural language processing (NLP) refers to a computer program’s ability to understand and analyse human language, both written or spoken. NLP is a component of AI with a number of applications in the real world, such as business intelligence, search engines, and medical research.
Check the following examples and applications of AI and NLP:
Some examples of AI include smart assistants or voice-controlled AI assistants that come with an evolving personality because of a mix of machine learning (ML) algorithms. The ML algorithms teach and enable the robot to adapt to its owner and be more like him or her.
AI-powered technology understands facial expressions, verbal patterns, and voice inflections. Hence, AI assistants can proactively start a conversation and make suggestions. You can also find AI assistants capable of movement and orienting themselves to determine what to do next.
The healthcare industry can use diagnostic AI for collaborative data sharing. In addition, applied clinical analysis using diagnostic AI can help reduce the number of misdiagnosed cases worldwide. Diagnostic AI combines artificial intelligence and advanced data science to sort through diagnostics, providing practitioners with accurate symptom data.
Because of this digital technology, doctors and other healthcare workers can make better decisions when it comes to treatment options and interventions suitable for patients. Of course, diagnostic AI can also help save money from the costly expenses of medical data errors.
In the automotive industry, self-driving cars no longer seem so far-fetched because prototypes are already being made. Autonomous vehicles will soon hit the road because of these AI breakthroughs. Of course, businesses can benefit from this technology, especially when it comes to future delivery services.
ML is a branch of computer science and AI. It focuses on the utilization of data, algorithms, and NLP, imitating the way that human beings learn. Agile-like approaches and techniques work for ML to support better communication, understand goals and communicate concerns.
Here are some ways machine learning can help businesses:
Identify Opportunities and Risks: Machine learning (ML) tools enable businesses and organizations to identify profitable opportunities quickly. Also, ML tools help determine potential risks to drive better business results.
Improve Business Operations: Machine learning enhances business scalability and improves business operations for different companies worldwide.
Attain Business Success: ML can help increase the growth, market position, and revenue of a business. Businesses incorporate ML into their processes to discover correlations and patterns and improve customer targeting and segmentation, which are crucial for successful marketing projects.
According to a trusted source, integrated automation is considered the heart of digital transformation. An automation roadmap replaces the point problem-based, standalone workflow model, allowing businesses to converge technologies such as artificial intelligence (AI), machine learning (ML), and natural language processing (NLP).
These digital technologies are deployed to manage abstract complexities and exceptions. With a platform-based approach, businesses can attain better governance and centralized visibility in the long term. Hence, companies need a high-performance automation approach that resolves problems fast and looks towards a bright future.
A good combination of digital technologies forms integrated automation. There’s no absolute formula to attain success in digital transformation. Many businesses undergo trial and error to determine the best strategies and technologies for them. The best strategies lie in how stakeholders work together with the use of the right marketing technology and testing tools.
Digital transformation includes a wide range of innovative solutions, such as artificial intelligence (AI), cloud technology, agile business techniques, and digital marketing technology. Whether you have a small or big business, you can benefit from embracing digital technology to transform your company. In this way, you can attain your business goals, stay competitive, and even go beyond unimaginable expectations.