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Top 5 Technology Trends for 2024

Blog: Jim Sinur

Last week, I published the Top 5 Business Trends for 2024 (click here), and this week, I narrowed down several technology trends to my top 5 that organizations need to start responding to intensely in 2024.

Harnessing Usable AI

Most organizations will probably have some form of the many types of AI in progress. Progress could range from experimentation to production-enabled and active in several business and technology domains. Since organizations do not fear another AI Winter because of broad-based data-driven successes, they are looking to take advantage of various kinds of AI (click here for AI Tributaries and Types for 2024). Significant efforts in and around Natural Language Processing (NLP) will allow for human understanding and appropriate responses like generating human-like interfaces in chatbots and language translation services, for example. There will be more virtual assistants that will supercharge customers and employees to be more effective even beyond their inherent knowledge and skill levels. It will expand AI to voice, image, and video analysis to create a more inclusive context for decisions and actions for carbon-based participants and robotic assistants. There will be an emphasis on emotion recognition to deal with the human factors of doing business. This new capability and power will need to be protected, so intelligent cybersecurity will get a boost to detect and prevent threats leveraging AI. Expect organizations to use AI until governance issues become the focus.


Leveraging Intelligent Customer Experiences and Processes/Applications

Organizations will likely start switching from flow-directed approaches to goal-directed ones where the flow is based on the changing goals of a customer journey or process. Savvy organizations will include their goals with the goals of customers, partners, and employees in the goal-directed approaches and balance seemingly conflicting objectives in a balanced approach. Personalization will now consider goals and measure feedback through real-time observation and analysis. Of course, better user experiences and omni-channel experiences will continue as table stakes, but more will be demanded. User-centered design employing more gamification components will play a role as AI and algorithms will expand their reach to customers, employees, and partners to advance Customer Relationship Management (CRM). Human/ tech collaboration will get a fresh look, including new forms of augmented reality over time. Continuous improvement and aggressive automation will continue in times of stability; however, changing conditions may unhinge current optimization patterns. Intelligence will be used to adapt processes and user experiences more acceleratedly. Organizations will leverage predictive methods and more aggressive scenario management and monitoring. It will be a necessity with supply chain shifts and optimization particularly.

Moving to Convergent Business and Technology Platforms

While individual technology stacks bring benefits, costs, and challenges, organizations will eagerly watch for the convergence of focused functionality into platforms that more easily integrate technology functions to enable faster and cheaper business results. Desire will force broader technology options at a more affordable cost and potential mergers and buyouts. Convergence will create aggregated specialty platforms and generalized digital business platforms. The effect is fewer vendors to manage for organizations and more integrated business/technical functionality. Examples include generalized Digital Business Platforms (DBP), Business Application/Package Platforms, Sales/Customer Platforms, Process Platforms, Collaboration Platforms, Data Science/Analytic Platforms, Automation Platforms, Lowcode Platforms, Cloud Platforms, Data Mesh Platforms, and Security Platforms. For a quick overview of the players, click here. I expect AI platforms to emerge as success is experienced and integration becomes necessary.

Building on Intelligent Infrastructure

As all business-driven intelligence and agility become a competitive weapon, the need for intelligent infrastructure will emerge quickly. It means that the infrastructure players that leverage AI and analytics in either a reactive or proactive manner will flourish. It will create a race to intelligence under the covers of processes, systems, and applications. Edge computing and IoT integration are perfect examples of where putting intelligence at the edge or even outside of a business process will be necessary. First, it will be monitored soon after there will be recognition of the need for decisions close to the edge and intelligent actions to deal with the changing conditions. Eventually, AI-driven intelligent bots or agents will be brokering response patterns at the edge. Examples of success today would include Smart Cities infrastructure. Digital twins will flourish in intelligent infrastructure, leveraging clever hybrid and multi-cloud along with smart data meshes. All of this will require smart security that is blockchain-enabled. In the future, quantum computing exploration will keep a watchful eye on the swarms of agile AI bots responding to infrastructure and business needs.

Living with Governed Leverage with Sustainability

Like it or not, organizations will have to balance their business results with the trail of impact their business activities create. There will be the emergence of renewable energy integration where it makes sense. Recycling or recreation will be more emphasized in 2024, along with eco-friendly packaging solutions. Smart buildings that leverage AI for energy efficiency optimize energy consumption in many aspects of an organization’s activities. Remote work will play a role in the delicate balance of progress and preservation. Technology will be essential in an organization’s ability to measure, monitor, and reduce its carbon footprint over its complete operation as and its supply chain. Water management is becoming a vital resource to monitor and optimize, leveraging tech and advanced waste management technology and techniques.

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