
SDG Group presents the “Data, Analytics & AI Trends 2025” report and reinforces its leadership in AI and Data
SDG Group, global leader in Data, Analytics and Artificial Intelligence consultingtoday presented its report “Data, Analytics & AI Trends 2025”, a publication that analyzes emerging trends that will shape the future of the technological and business landscape. Experts from SDG Group, together with cutting-edge collaborators from academia and technology, have analyzed the technologies that will reach a tipping point next year; grouping them into four fundamental areas: Artificial Intelligence, Data technologies, Data and Business architecture.
SDG Groupwhich invests more than 15% of its revenue in innovation, has used its Innovation Radar to identify the key technological trends of 2025. This proprietary platform, which has been one of the sources for preparing the report, allows the teams of company’s data engineering and AI, in collaboration with academic institutions and technology companies, analyze and anticipate advances in the sector.
“Our commitment is to provide organizations with both the right knowledge and the tools to generate value and consolidate their leadership in an increasingly data-driven world,” he comments. Miguel Romero, Head of Technology and Innovation at SDG Group. “Our Innovation Radar has allowed us to prepare this Trends report, which also provides actionable frameworks that allow companies to adapt and optimize their resources, generating greater business viability.”
An in-depth analysis of the future of AI
In the field of Artificial Intelligence, the report highlights three key innovations that will drive the development and application of AI throughout 2025:
- The evolution of LLMs – Advances in Specialized Language Models (SLMs) -which provide unprecedented precision in the analysis of clinical data- and in Large Scale Vision Models (LVMs) -which integrate natural language processing with visual interpretation- will undoubtedly turn xLMs into essential tools to boost creativity and productivity in digital environments. This evolution is shaping a new generation of specialized models that will transform industries such as health and finance.
- Causal inference for ML – Causal inference in machine learning (ML) is an emerging area that goes beyond correlations to discover cause-and-effect relationships in data. Unlike traditional ML models that focus on identifying patterns, causal inference answers questions about what would happen if changes are introduced in a certain context or system. This approach toward a deeper, more knowledge-oriented understanding informed decision making will continue to gain importance in various areas, from medicine and economics to applied artificial intelligence.
- Intelligence and Responsible Governance – The implementation of a Responsible AI It advances thanks to audits in generative processes, specialized security protocols and also thanks to continuous monitoring to correct biases. In this context, the AI governance takes on a fundamental role with the development of regulatory frameworks to supervise the results of the models, the adoption of strict safety measures data protection and the promotion of transparency in algorithmic decision making. The future of AI will depend on collaboration between regulators, companies and technologistswho must work together to establish strong ethical standards.
Data technology that will dazzle in 2025
In the field of calls data technologiesSDG Group has identified the following trends:
- Insights Engineering – Thanks to Gen AI, the Insights Engineering It allows autonomous analysis of dashboards and direct data query, marking the beginning of a new era of insight discovery. Los decision makers can interact with your data in natural languageobtaining contextual responses in real time, without the need for advanced technical knowledge. What differentiates it from traditional business intelligence is its dynamic nature– Instead of relying on pre-configured dashboards, the Generative AI acts as a cognitive engineidentifying hidden patterns and providing proactive insights.
- Autonomous Data Constructs – AI-powered interactive data systems are transforming the way organizations build and manage their data ecosystems, focusing on creating lakes de datos, data warehouses y data lakehouses. By leveraging the ability of generative AI to intuitively interpret user intent, these systems enable workflow design. end-to-endautomating data ingestion, transformation and integration, without the need for extensive manual configurations. This change represents a significant reduction of technical barriers in data engineering.
- Bring Your Own Cloud – BYOC is becoming an increasingly popular model, allowing companies to deploy a provider’s software directly into their own cloud environment, typically within their Virtual Private Cloud (VPC). This setup ensures that all data remains within the customer’s cloud environment, giving them full control over their infrastructure. Despite the challenges, without a doubt, the main BYOC benefit is the tall control level that it provides.
Data architecture and AI, allies for 2025
In the field of data architecture and AI, SDG Group analysts highlight:
- AI and Data Stack Observatory – It is Observatory responds to the critical need for organizations to establish robust monitoring frameworks in a constantly evolving technological context. This proactive tool for identify, evaluate and adopt emerging solutions is tasked with helping organizations assess the relevance and potential impact of cutting-edge technologies in real timeallowing them to determine which innovations are worth exploring.
- The Cognitive Platform – Unlike traditional systems, which often struggle to handle the complexity of multimodal data, The Cognitive Platform integrate any data into a unified framework. Its ability to process audio recordings, videos and textual content along with transactional and structured data allows organizations to gain a more complete view of their operations, customers and markets. By incorporating ML models, natural language processing (NLP), and generative AI techniques, the platform transforms raw data into actionable insights with unprecedented accuracy and speed.
- Multiagent Systems (MAS) – Los BUT They are emerging as a disruptive innovation transforming the way complex problems are addressed and solved. These systems composed of multiple autonomous agentsthey work collaboratively or competitively to achieve individual or shared objectives. Based on the principles of distributed intelligenceMAS excel in dynamic environments, providing unmatched scalability, flexibility, and resilience.
Business and data: a necessary convergence by 2025
Next, SDG Group presents the trends that will affect the core business of companies:
- Hyper-personalized AI agents – By offering solutions adapted to the specific needs of each company and differentiating themselves from generic AI systems, these agents are capable of providing personalized customer experiences while optimizing operational efficiency. Using domain-specific data, advanced fine-tuning techniques and modular architectures, so-called AI Agents are already a key element for success in highly competitive environments. Real-world applications span various industries, where they automate customer service with more fluid and natural interactions. For example, they manage to optimize personalization in marketing strategies, improving segmentation and conversion.
- ROI of Generative AI – As organizations invest resources in generative AI, a key challenge arises around How to Accurately Measure Your Return on Investment (ROI). Traditional methods do not capture their full impact, which includes, for example, improved customer experience, innovation and operational resilience. To address this, organizations are adopting new metricssuch as speed and quality in product development; customer engagement through personalized experiences and the ability to mitigate risks and optimize operations.
- Integrated Business Planning – To achieve precision, efficiency and agility, Advanced Analytics and AI have become fundamental pillars of Integrated Business Planning (IBP). These technologies are transforming the way organizations predict, plan and execute strategies, enabling data-driven and optimized decisions in real time. He Next step for IBP is the adoption of AI with machine learning algorithms and contextual intelligenceable to learn from diverse data sources and continually improve forecasts. These sources include internal data (store traffic, customer interactions) and external data (tourism trends, price dynamics, weather conditions).
The report «Data, Analytics & AI Trends 2025» It is now available for consultation and download on the website the SDG Group.
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