Progress report anticipates the needs of IT teams for next year and expects evolution in the role of artificial intelligence, as well as in the responsibility of data connectivity
Credit: Website Progress
As we look to 2024, the landscape of artificial intelligence and machine learning places data at the center of decision-making. The prevailing consensus highlights that valuable, well-managed data is a fundamental requirement for business success. Faced with this dynamic and constantly evolving scenario, experts from Progress, an infrastructure software provider, carried out an analysis to anticipate the changes expected for next year.
Artificial intelligence at the center
Artificial intelligence will no longer be a striking and differentiating feature but will become a central element of added value in software products. Companies will be pressured to integrate AI not just to keep up with trends, but to address concrete challenges and improve user experiences. This integration will drive an era of frictionless user experiences as consumer expectations align with the potential of AI to deliver intuitive, optimized interfaces.
In the DevSecOps space, generative AI continues to be an emerging technology that still needs to be perfected as it requires high-precision results to run on mission-critical systems. GenAI systems are great for creating interesting demos, but they need help producing highly accurate and reliable code. In this sense, generative AI will not necessarily replace developers, but it will expand teams' productivity.
In this context, where AI takes on more roles in communication and decision-making, ethical governance will move from a niche concern to a widespread requirement for corporate responsibility.
More personalized digital experiences
The Progress team predicts that Artificial Intelligence will emerge as a catalyst in the rapid evolution of chatbots, which will transform into intelligent conversational agents capable of understanding natural language, gaining context awareness and offering the user a personalized content experience. In turn, this personalization will evolve from basic demographic segmentation to real-time content adaptation, requiring agile content workflows that can stay up-to-date thanks to edge computing, which will drive cost-effective data processing and integration. benefit.
Likewise, the continued prevalence of remote work will blur the lines between digital and physical interactions. Companies will need to rethink customer journey maps to integrate new forms of digital engagement that can effectively replace or complement traditional physical touchpoints.
Data connectivity
As we move toward 2024, we anticipate a significant shift in responsibility for data connectivity from independent software vendors (ISVs) to end users of business intelligence (BI) applications. Their involvement, from the initial phases of projects, is increasingly frequent, marking a reassuring trend in effective data management. Progress experts believe this transition requires a reassessment of how we approach data connectivity, aligning it more closely with user needs and the changing landscape of data analytics tools.
Technologically, the revolutionary advancements of Data Mesh, especially Data Fabric and the integration of Knowledge Graphs, will redefine the landscape. These innovations will improve data quality and operational efficiency and reshape the economics of data management. At the same time, leaders' perspectives on data governance and knowledge management are fundamentally transforming. What was previously considered a regulatory burden becomes an opportunity to drive better decision-making.
