Anticipating technological shifts is crucial for strategic planning and staying ahead of the curve.
Innovation must be balanced with ethical responsibility and trust in adopting new technologies.
·AI imperatives and risks
·New frontiers of computing
·Human-machine synergy
AI systems that operate autonomously, combining memory, planning, and sensing to achieve goals.
Transition from supervised AI to fully autonomous decision-making.
Automation in complex decision-making, enhanced productivity through AI agents, customer experience optimization.
By 2028,15% of daily work decisions will be made autonomously through agentic AI, from 0% in 2024.
AI governance platforms are tools designed to ensure that AI systems adhere to ethical standards, fairness, transparency, and accountability.
There is a growing demand for responsible AI as regulations become more stringent.
These platforms monitor AI decisions, manage risks related to bias and privacy, and ensure compliance with regulations.
By 2028, companies with AI governance platforms will have 30% higher customer trust and 25% better compliance than their rivals.
Techniques to identify and mitigate the spread of false or harmful information.
Rise of synthetic media and AI-generated disinformation.
Deepfake detection, preventing impersonation, protecting organizational reputation.
50% of enterprises will adopt disinformation security solutions by 2028, up from less than than 5% in 2024.
Cryptographic methods designed to withstand quantum computing threats.
Preparing for the potential decryption capabilities of quantum computers.
Safeguarding sensitive data, intellectual property, and ensuring long-term encryption security.
By 2029, quantum computing will render most conventional asymmetric cryptography insecure.
Use of low-cost sensors and tags for tracking objects and environments without user intervention.
Integration into everyday objects, supported by advancements in wireless standards.
Real-time inventory management, automated environmental adjustments, and continuous patient monitoring.
By 2028, initial uses of ambient invisible intelligence will prioritize low-cost tracking and sensing to solve immediate issues, cut costs, and boost efficiency.
Reducing energy consumption in computing systems, including data centers and AI operations.
Focus on sustainability and reducing carbon footprints in IT operations.
Cost reduction in data centers, sustainable product design, and energy-efficient software development.
The leading consideration for most IT organizations today is their carbon footprint.
Combining multiple computing architectures (e.g., CPUs, GPUs, quantum) to tackle complex tasks.
Flexibility in deploying resources for computationally intensive tasks.
AI-driven analytics, sensitive data management, and scaling operations across cloud and on-premises infrastructure.
Hybrid setups will become the standard approach for balancing performance, security, and cost.
Merging digital content with the physical world for immersive experiences.
Growth driven by AR/MR technologies and 5G connectivity.
Virtual team collaboration, immersive training simulations, enhanced retail experiences.
By 2028, 20% of people will regularly engage with spatial computing.
Robots capable of executing a wide range of tasks, integrating advanced functionalities.
Increasing adoption driven by the need for labor cost reduction and enhanced efficiency in sectors such as warehousing.
Automation in warehouses, healthcare assistance, and remote field servicing, highlighting versatility across industries.
By 2030, 80% of humans will engage with smart robots on a daily basis, up from less than 10% today.
Improving cognitive abilities through brain-machine interfaces.
Focus on enhancing productivity and creating personalized experiences.
Reducing training times, improving safety, and personalized learning.
By 2030, 60% of IT workers may use brain-machine interfaces for enhanced productivity.