The strategic technology trends act as force multipliers of digital business and innovation over the next three to five years to enhance the growth of an organisation.
FREMONT, CA: Over the next three to five years, these technological trends will serve as catalysts for digital innovation. The list of these developments will position CIOs and IT executives as strategic partners in their firms while enabling CEOs to ensure growth, digitalization, and efficiency enhancement.
Regardless of where the data is located, data fabric offers flexible, resilient integration of data sources across platforms and business users, making data accessible everywhere it is needed. Analytics can help data fabric learn and actively suggest where data should be used and altered. This can cut back on data management work by as much as 70 per cent.
A flexible, modular architecture called a cybersecurity mesh connects dispersed and unrelated security services. To increase overall security and bring control points closer to the assets they are intended to safeguard, cybersecurity mesh enables best-of-breed, standalone security solutions to cooperate. In both cloud-based and non-cloud systems, it can swiftly and accurately validate identity, context, and policy adherence.
Due to changing privacy and data protection legislation and rising consumer concerns, privacy-enhancing computation safeguards the processing of personal data in untrusted contexts. A range of privacy-protection strategies is used in privacy-enhancing computation to extract value from data while still adhering to compliance standards.
Building durable, elastic, and agile new application architectures using cloud-native platforms enables business executives to adapt to quick changes in the digital landscape. Cloud-native systems are an improvement over the old lift-and-shift method of using the cloud, which misses out on its advantages and makes maintenance more difficult.
Composable apps are created using modular, business-focused building blocks. Composable applications accelerate the time to market for software solutions and unleash enterprise value by making the platforms simpler to use.
A realistic strategy to enhance organisational decision-making is called decision intelligence. To inform, learn from, and improve decisions, it represents each choice as a collection of processes. Using enhanced analytics, simulations, and AI, decision intelligence may support, improve, and possibly automate human decision-making.
The goal of hyper automation is to quickly discover, validate, and automate as many business and IT operations as is practical. Scalability, remote operation, and business model disruption are made possible by hyper-automation.
To speed up the supply of AI, AI engineering automates updates to data, models, and applications. AI engineering will operationalise the delivery of AI in conjunction with sound AI governance to guarantee its continued business value.
To enhance staff experiences, digitalize customer and partner touchpoints, and expand product experiences, distributed organisations reflect a digital-first, remote-first company strategy. The needs of remote workers and customers, who are driving demand for virtual services and hybrid workspaces, are better met by distributed organisations.
A corporate strategy called total experience combines user experience, employee experience, customer experience, and multi experience across several touchpoints to spur growth. Through integrated management of stakeholder experiences, the whole experience may increase customer and employee confidence, satisfaction, loyalty, and advocacy.