9 Digital Transformation Trends for 2023.

Adopting digital technologies to assist introduce innovative business models or alter how current organisations run is known as digital transformation. Earlier, it would take years to complete the end-to-end process of developing a technology-driven strategy and putting it into practise. Businesses frequently dedicate 80% of their budget and resources to KTLO (keeping the lights on), or upkeep of their current infrastructure and systems. However, COVID-19's effects on firms nearly doubled the rate at which the most recent trends in digital transformation were adopted.

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1. 9 DIGITAL TRANSFORMATION TRENDS FOR 2023
2. 1. 5G and IoT 5G is the fifth generation technology for mobile networks. 5G’s primary characteristics include multi-peak data speeds, low latency, improved user experience, better connectivity and availability, and improved network bandwidth. Connected Automobiles: 5G’s low latency and high bandwidth will enable vehicles to store and initiate bi-directional communication. Shipping and Logistics: Easy and accurate tracking of shipped items. This will allow updating precise delivery timelines, which, in turn, will improve customer experience Remote Healthcare: 5G connectivity will also enable seamless remote patient monitoring. Also, health experts can provide assistance at any time and from anywhere irrespective of their location. Some of the use cases of 5G in the IoT domain include: 1. 2. 3. griffonwebstudios.com
3. 2. Zero-Trust Security With many organizations adopting the remote-first culture, the risk of cyberattacks has increased. Thus it becomes essential to introduce zero-trust security to prove resilient. Organizations are already planning/implementing migration to a cloud-based, zero-trust security model. The new security solution will help establish trust, authority, brand reputation, and initiate safe B2B communications. Zero-trust security aids in securing applications, data, identity, endpoints, networks, and even infrastructure. The three primary principles of zero-trust security include: Require secure and authenticated access to all resources. Adopt the least privilege model and Enforce Access Inspect and Log all activities using data security analytics griffonwebstudios.com
4. 3. Software 2.0 Software 2.0 is a technology that automatically creates source code from the requirements document. This can be done through Deep Learning (DL) that helps build neural networks for automating code drafting. Software 2.0 is still at the market entry stage and to implement it, businesses will have to gain expertise with DataOps (Data Operations) and MLOps (Machine Learning Operations). DataOps is a process followed for data teams to improve data quality and the efficiency and accuracy of data analytics activities. On the other hand, MLOps is a part of DataOps and helps in enhancing machine learning operations, introducing automation, and increasing emphasis on understanding business requirements. griffonwebstudios.com
5. 4. Data Fabric The driver manually drives while the automated features are not put into use The driver loses focus and the automated features get activated and make course corrections whenever required What is Data Fabric? Consider a self-driving car and two-related scenarios: This is similar to how data fabric works. The data fabrics help make suggestions that make data teams more productive (whenever required). When the data experts are satisfied with automated course corrections, the lever can be handed over to the data fabrics entirely. This helps the data teams focus on their core activities while the monotonous tasks are managed by data fabrics. griffonwebstudios.com
6. 5. Hyperautomation Hyper Automation aims to automate business and IT processes to a large extent. Whether it is RPA (Robotic Process Automation), low-code/no-code adoption, or AI and machine learning — businesses plan to upscale investments in automation. Some of the hyper automation-oriented initiatives include: a. RPA (Robotic Process Automation) Robotic Process Automation handles repetitive tasks at work using software robots. RPA helps increase speed to market, reduces expenditure, and increases business operations scalability. b. Low-Code Platforms Low-Code platforms offer “drag and drop” features to build software. There is minimum coding knowledge required, which makes it an innovative platform for non-tech folks. griffonwebstudios.com
7. 6. Total Experience enhance customer experience (58%) improve employee productivity (57%) Total experience (TX) combines user experience (UX), customer experience (CX), and employee experience (EX) to enhance brand impression at a holistic level. Top Two Reasons for Pursuing Digital Initiatives One may find various CRM (Customer Relationship Management) or CXM (Customer Experience Management) applications. With the evolution of TX, you will notice the emergence of disruptive applications that solve the pain points of customers and employees alike. griffonwebstudios.com
8. 7. Everything as a Service (XaaS) Storage as a Service (STaaS) Containers as a Service (CaaS) Function as a Service (FaaS) Security as a Service (SECaaS) Unified Communication as a Service (UCaaS) Video as a Service (VaaS) Everything-as-a-service or Anything-as-a-Service is the latest digital transformation trend that promotes the “as-a-service” model and delivers anything to the customers. XaaS goes beyond the traditional cloud service model, i.e., SaaS, PaaS, and IaaS, and includes more services such as: XaaS also paves the way for “Servitization”, i.e., offering a combination of products and services in one package. A simplified example of servitization is Amazon’s Alexa where AI-driven services are offered along with portable hardware products. The latest real-world example of XaaS comes in the form of a partnership between Hewlett Packard Enterprise (HPE) and Veeam. Both HPE and Veeam have proved expertise in safeguarding data, ensuring data availability, and maintaining business continuity and resilience. With this partnership in place, Veeam and HPE aim to safeguard your data irrespective of where you position it (on or off-premise). The data protection services are offered through the “as-a-service” model. griffonwebstudios.com
9. 8. Generative AI Generative AI is a branch of artificial intelligence that uses existing content (images, texts, audio, video) to create similar yet original content. The most popular example of Generative AI are Face apps where the user provides their image as input, and the app shows how they would look across different age groups. GAN (Generative Adversarial Network): Comprises of two neural networks, i.e., generative network and discriminator network Transformers: Include GPT3, LaMDA, and Wu-Dao Variational Autoencoders: is a type of artificial neural network architecture There are three different types of techniques that we can leverage for implementing Generative AI, which include: griffonwebstudios.com
10. 9. AR Cloud AR Cloud (Augmented Reality Cloud) is a digital 3D copy of the real-world environment created using its spatial properties. We also call it the digital twin of any real-world environment and also enables sharing the experience with multiple users in real-time. Though the success of AR Cloud will depend on the maturity of 5G networks, businesses such as Facebook, Apple, Google, Amazon, Visualix, and Scape technologies are leveling up investments in the technology. griffonwebstudios.com
11. Digital Transformation is the adoption of digital technology by an organization that will, in turn, helps trigger disruption and drive revenues. Every year, promising digital transformation trends emerge that hold the potential to accelerate business growth. No matter what technology you plan on picking, the idea is to innovate and introduce a unique selling point (USP) that will contribute towards quantifying ROIs. Conclusion contact@griffonwebstudios.com +1 (212) 739 0374 griffonwebstudios.com