DISRUPTIVE TECH
A key trend in Big Data and predictive analytics is a shift from expecting business leaders to become more tech-savvy to strengthening business acumen within IT and data science teams, which ensures technology supports enterprise objectives more effectively.
“ We are seeing a move to true hybrid cloud to deploy analytics and AI anywhere with zero workload refactoring or application rewrites,” says Tariq Salameh, Team Lead, Solutions Engineer- Middle East and Türkiye, at Cloudera.
“ The current landscape of Big Data and predictive analytics is being shaped by three dominant trends, as these capabilities evolve from isolated IT efforts into core business enablers,” says Wael Al Aaraj, Chief Technology Officer, Middle East and Africa, at Bespin Global.
Firstly, enterprises are prioritising real-time analytics and AI integration, shifting from retrospective reporting to predictive and prescriptive models that inform decisions instantly.
Secondly, data sovereignty and regulatory compliance have become strategic priorities, particularly in the Middle East. Heightened data protection laws and
national cloud mandates are prompting organisations to reassess how data is stored, processed, and governed, placing greater emphasis on secure architecture and transparent governance.
Thirdly, there is a growing trend toward comprehensive data platforms that unify ingestion, transformation, governance, and ML operations.
“ We are seeing a shift from passive dashboards to proactive, real-time decision systems. Innovations lie in edge analytics, low-latency stream processing, and the convergence of structured and unstructured data pipelines,” says Ramprakash Ramamoorthy, Head of AI Research, at Zoho Corp.
Predictive models are becoming more contextual, trained on domain-specific signals rather than just generic historical data. Another shift is toward privacyaware computation – federated learning and differential privacy techniques are gaining real-world traction.
Cloud-native architectures are standard, but more teams are rethinking data gravity and exploring hybrid approaches for performance and compliance. Finally, open telemetry standards are bringing much-needed visibility into complex, distributed analytics workloads.
Left to right: Wael Al Aaraj, Chief Technology Officer, Middle East and Africa, Bespin Global
Tariq Salameh, Team Lead, Solutions Engineer- Middle East and Türkiye, Cloudera
Left to right: Leandro Galli, Senior Solutions Engineer, Confluent
Ramprakash Ramamoorthy, Head of AI Research, Zoho Corp
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