Advances in Agentic AI for Big Data Analytics: Intelligent, Scalable, and Autonomous Data-Driven Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 December 2026 | Viewed by 163
Special Issue Editor
Interests: generative AI; cybersecurity; secure software systems; spatial computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Big data analytics is a pivotal area of decision-making in sectors ranging from medicine to finance, smart cities, and cybersecurity. Nonetheless, the growing amount of data brings many complications concerning scalability, automation, and real-time interpretation of large amounts of diverse information sources. Agentic AI refers to systems that include autonomous intelligent agents, whose ability consists in performing specific actions towards achieving goals through the process of reasoning and planning.
In particular, agentic AI systems may assist with the management of complex data pipelines, the automation of the feature engineering process, workflow optimization, and the generation of insights in an adaptive manner. In turn, there are several challenges, including those related to trust and data quality, that have to be considered while working with agentic AI and big data analytics to guarantee proper operation of the systems.
The aim of this Special Issue is to shed light on the integration of agentic AI and big data analytics by analyzing their theoretical background, design approaches, and applications. We invite researchers and industry practitioners for high-quality original research articles, surveys, and systematic literature reviews that advance the theory, design, and application of agentic AI in big data environments.
Special Issue Topics:
Topics of interest include, but are not limited to, the following:
- Agentic AI architectures for big data analytics;
- Autonomous data pipeline orchestration using AI agents;
- Agent-based data integration and preprocessing;
- AI agents for feature engineering and data transformation;
- Multi-agent systems for distributed data analytics;
- Agentic AI for real-time and streaming analytics;
- AI-driven decision-making in big data environments;
- Explainable and trustworthy agentic AI in analytics;
- AI agents for data quality assessment and anomaly detection;
- Integration of agentic AI with cloud, edge, and distributed systems;
- AI agents for predictive and prescriptive analytics;
- Human–AI collaboration in big data analytics systems;
- Security, privacy, and governance issues in agentic AI for big data;
- Benchmarking and evaluation of agentic AI systems in analytics.
Dr. Ajay Bandi
Guest Editor
Manuscript Submission Information
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Keywords
- agentic AI
- big data analytics
- autonomous systems
- intelligent data pipelines
- multi-agent systems
- real-time analytics
- explainable AI
- data-driven decision making
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