Press release. As the year 2025 approaches, the technological landscape is marked by economic and geopolitical uncertainty, major changes in consumer behavior, an expanding digital ecosystem, and intense pressure for companies to adopt and integrate Artificial Intelligence ( IA) in its main operations.
In this context, organizations must be able to recognize the technologies that will drive lasting change, including:
Agentic AI, greater personalization and efficiency. In 2025, AI will not only be a tool, but also a collaborator. The AI with Agents – which can continuously learn from user input and integrate contextual information such as account history, behavioral patterns and preferences – will work proactively to realize AI’s promise of personalization and efficiency. Some examples are a customer service AI that predicts user needs before making a query, a network management AI that identifies potential problems and solves them autonomously, or even several AI Agents automating chain management by coordinating with each other to forecast demand, coordinate deliveries and even negotiate with suppliers.
Humanoids, part of the template. AI-powered humanoids will be part of the workforce of the future, and we will likely see the first case next year. This will force companies to reimagine the dynamics of their workplaces and the technology that powers them. For example, they will need to ensure that their connectivity has appropriate levels of latency, because the performance of humanoids will depend on their ability to process and analyze data in real time. Security measures will also need to be strengthened to keep humanoids safe from cyber-attacks and promote the transparency necessary in a hybrid work environment in which humans and machines pursue common goals.
Cybersecurity will require machine-scale capabilities. The rise of AI also creates major cybersecurity challenges. In 2025, companies will need to improve their strategies to address new risks such as rapid injection attacks, in which malicious input appears to be legitimate user input in generative AI systems. Also to protect against quantum cyberattacks and supply chain attacks, organizations will integrate AI to augment human capabilities and strengthen the network as a critical line of defense and policy enforcement.
Network automation will eliminate manual errors. More than 40% of network outages are directly caused by incorrect configurations, which could cost businesses up to 9% of their annual revenue. AI-powered tools are poised to revolutionize network management, learning and benchmarking every configuration to reduce human error and quickly bring downtime to zero.
Energy networks, committed to sustainability. AI requires high levels of energy consumption which affects carbon emissions. By 2025, the amount of annual energy used by data centers dedicated to AI is expected to be equal to that consumed by a country the size of the Netherlands. Organizations will need help balancing sustainability and growth in this AI-driven era. One of the big advances will be ‘energy networks’, which combine software-defined network capabilities with an electric power system composed of direct current (DC) microgrids to offer more visibility into emissions and an AI-based platform. to optimize energy use, distribution and storage.
“In December of next year we will be closing the first quarter of a century, so 2025 marks a crucial moment to redefine the business technological environment with the convergence of AI, cybersecurity, data governance and sustainability. Adopting these trends with strategic foresight and pragmatism will allow organizations to face challenges and take advantage of opportunities for growth and excellence.”highlights Liz Centoni, Executive Vice President and Chief Customer Experience Officer at Cisco.
Via | Cisco
