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Stop guessing, start building: Why your AI ambition needs a readiness check
Technology often moves at a pace that can be hard to match. Each new wave builds on the last, changing how organizations operate and compete. Nowhere is this more evident than with AI - the most recent, and possibly the most transformative, technological advancement of our age.
- February 6, 2026
- Global
Consulting Technology Solutions
The new rules of trust: Governance, risk and compliance in the AI era
If there ever was a moment when governance, risk and compliance (GRC) deserved a seat at the strategy table, it is now. Cloud transformation, AI adoption, expanding digital ecosystems and a wave of global regulations have converged to create an ever more demanding business landscape.
- February 3, 2026
- Global
Cybersecurity
Key management issues in cloud and the introduction of post-quantum cryptography
In recent years, the demand for autonomous system operation is increasing. To safely use data on the cloud, cryptographic key management is vital, but there are challenges that we need to overcome. We will explain the requirements for key management systems to solve these challenges, introduce the trend of post-quantum cryptography, and points to consider when introducing it.
- August 21, 2024
- Global
Cybersecurity Cloud Quantum computing
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How is Information Technology Rapidly Changing Business Today and in the Future?
NTT DATA Technology Foresight acts as a compass, observing the current state of businesses that achieve continued growth through the maximum utilization of IT. In this article, Hiroshi Tomiyasu takes us through the NTT DATA Technology Foresight 2023.
- May 24, 2023
- Global
Cloud Edge Quantum computing
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Enhancing Reinforcement Learning with Quantum Computing for Robotic Arm control
Reinforcement Learning has emerged as an interesting approach for the control of robotic arm movement in unstructured environments. However, the challenges of learning versatile control capabilities are still far from being resolved for real-world applications, mainly because of two issues of such learning paradigm: the exploration strategy and the slow learning speed. The application of Quantum Computing to Reinforcement Learning promises to solve such issues.
- April 1, 2023
- Italia
Quantum computing
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