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Experienced CIOs know there is never a blank check for transformation and innovation investments, and they expect more pressure in 2025 to deliver business value from gen AI investments. As gen AI heads to Gartners trough of disillusionment , CIOs should consider how to realign their 2025 strategies and roadmaps.
This year saw emerging risks posed by AI , disastrous outages like the CrowdStrike incident , and surmounting software supply chain frailties , as well as the risk of cyberattacks and quantum computing breaking todays most advanced encryption algorithms. This can assist CIOs in tackling datagovernance issues , he adds.
Organizations are managing more data than ever. In fact, the global datasphere is projected to reach 175 zettabytes by 2025, according to IDC. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with datamanagement and protection also are growing.
Companies are leaning into delivering on data intelligence and governance initiatives in 2025 according to our recent State of Data Intelligence research. Its data quality solution is on the brink of excellence, pending the introduction of AI-assisted rule creation and enhanced recommendations.
I dont think anyone has any excuses going into 2025 not knowing broadly what these tools can do for them, Mason adds. By implementing robust security measures, bias mitigation techniques, and an ethical review process, CIOs can minimize risks and ensure responsible use of AI. Am I engaging with the business to answer questions?
Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. Additionally, 97% of CDOs struggle to demonstrate business value from sustainability-focused AI initiatives.
But unknown to many is Indias meteoric rise to become a global leader in AI adoption and it is one to watch: what happens in the Indian market in 2025 will set the scene for the rest to follow. Data privacy and security follow closely behind. The first is responsible AI development.
Rather than pull away from big iron in the AI era, Big Blue is leaning into it, with plans in 2025 to release its next-generation Z mainframe , with a Telum II processor and Spyre AI Accelerator Card, positioned to run large language models (LLMs) and machine learning models for fraud detection and other use cases. At least IBM believes so.
As a bank that understands the future of financial services as data-driven, Bank of the West chose to adopt the Cloudera platform as the linchpin of its digital transformation. In doing so, Bank of the West has modernized and centralized its Big Data platform in just one year. Industry Transformation.
It also recognised that more and more data was being harvested — but that challenges remained over how to extract truly valuable insight from it. It also set out a detailed plan to make data ‘ an enduring, strategic asset ’, with clear goals to be reached by 2025. What is a data strategy?
What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Governance. Value Management or monetization. RiskManagement (most likely within context of governance). Product Management. measuring value, prioritizing (where to start), and data literacy?
Chinas Interim Measures for Generative AI Services Aligns with global emphasis on transparency, content moderation, and datagovernance, similar to the EU AI Act and OECD principles. Emphasizes governance and riskmanagement similar to the EU AI Act and Canadas Bill C-27.
Based on the survey findings, here are five recommendations for CIOs as you continue your AI implementation journey in 2025. In terms of scenarios, those concerning media were of the highest concern, followed by personal, workplace and government. Use industry research to understand how trust varies by scenario and industry.
According to Gartner , more than 80% of CEOs expect AI to contribute to top-line growth in 2025, whereas only 3% of CIOs expect the same. Modern EA must support both global oversight and semi and fully autonomous business domains fluidly, frameworks for data sharing, AI governance and cross-domain collaboration.
Dr. Arvind: Effective CISOs bring a strong understanding of riskmanagement while aligning security measures to broader organisational goals. How do you see Digital India Foundation (DIF), India Stack, ONDC, and other mega initiatives evolve by 2025 and 2026?
Which are the mega trends in the world of cybersecurity and data privacy that will impact Indian organisations in 2025 and why? Dr. Duggal : Indian organizations need to be prepared for 5 major trends in cybersecurity and data privacy in 2025.
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