Artificial Intelligence, personalization of digital experiences and data connectivity are the great challenges of 2024
A report from Progress, a trusted provider of infrastructure software, anticipates the needs of IT teams for the coming year, in which they expect an evolution in the role of artificial intelligence as well as a shift in the responsibility of data connectivity .
Business Empresarial8 January, 20240 95 2 minutes read
Predictions 2024
Business Enterprise.- As we enter 2024, the landscape of artificial intelligence and machine learning is placing data at the center of decision-making. The prevailing consensus emphasizes that rich, well-governed data is a fundamental requirement for success. Given this rapidly changing landscape, experts at Progress conducted an analysis to anticipate the changes expected for next year.
Artificial intelligence at the center
Artificial intelligence will no longer be a striking and differential feature to become a central element of added value in software products. Companies will be pressured to integrate AI not only 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 and streamlined interfaces.
In the DevSecOps space, generative AI remains an emerging technology that still needs to be improved, because it requires high-precision output to be executed on mission-critical systems. GenAI systems are great for creating interesting demos, but they need help producing highly accurate, reliable code. That is why generative AI will not necessarily replace developers, but it will expand the productivity of teams.
In this context and as 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 the catalyst in the rapid evolution of chatbots, which will transform into intelligent conversational agents, capable of understanding natural language, acquiring 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, demanding agile content workflows that can stay current thanks to edge computing, which will drive cost-effective data processing and data integration. machine learning.
Likewise, the continued prevalence of remote work will blur the lines between digital and physical interactions. Companies will need to rethink their customer journey maps to integrate new forms of digital engagement that can effectively replace or complement traditional physical touchpoints.
Data connectivity
As we move towards 2024, a notable shift in responsibility for data connectivity is predicted, moving from independent software vendors (ISVs) to end users of business intelligence (BI) applications. Their involvement from the early stages of projects is becoming more frequent, marking a reassuring trend in effective data management. Progress experts believe this transition requires a re-evaluation 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, particularly 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' perspective on data governance and knowledge management is fundamentally transforming.
