AI and Machine Learning in the Big Data Era: Advanced Algorithms and Real-World Applications
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 19
Special Issue Editors
Interests: artificial intelligence and applications in various industries; machine learning; natural language processing
Special Issues, Collections and Topics in MDPI journals
Interests: responsible AI; generative AI in business; information retrieval using RAG; vector databases; digital transformation; AI in energy, education and health sectors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Information invites submissions to a Special Issue on "AI and Machine Learning in the Big Data Era: Advanced Algorithms and Real-World Applications".
As data continue to grow in volume, variety, and velocity, the fusion of artificial intelligence (AI) and machine learning (ML) with big data analytics is transforming how we extract actionable insights and build intelligent systems. From healthcare and finance to smart cities and industrial automation, advanced ML algorithms—ranging from deep learning to reinforcement learning and generative models—are being leveraged to tackle real-world challenges at scale.
This Special Issue will showcase cutting-edge research and practical innovations that harness AI and ML in the context of big data. We welcome original research and review articles that highlight algorithmic advances, scalable architectures, and applications with societal or industrial impacts.
We particularly encourage submissions that address interdisciplinary problems, real-world deployments, and methodological breakthroughs that push the boundaries of what AI and ML can achieve in the big data ecosystem.
Topics of interest include, but are not limited to, the following:
- Scalable AI and ML algorithms for big data;
- Deep learning and neural network architectures for large-scale data;
- AI-driven data analytics and decision support systems;
- Reinforcement learning and autonomous systems in big data contexts;
- Federated learning and privacy-preserving ML for distributed data;
- Real-time data processing and edge AI applications;
- AI for IoT and smart environments;
- Generative AI in high-dimensional data analysis;
- Explainable AI (XAI) and interpretability in complex models;
- Benchmarking and evaluation of AI models on big data;
- Real-world and industrial applications of AI/ML;
- AI ethics, bias, and fairness in big data environments.
We look forward to receiving your contributions to this timely and impactful Special Issue.
Dr. Ebuka Ibeke
Guest Editor
Dr. Chinedu Pascal Ezenkwu
Guest Editor Assistant
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- machine learning
- big data analytics
- deep learning
- scalable algorithms
- predictive analytics
- explainable AI
- real-time processing
- federated learning
- generative AI
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