Artificial intelligence (AI)
How can you accelerate AI to advance both business and society?
With cognitive networks that are powered by AI
The AI revolution is underway and will profoundly change our lives and how we work. Many, if not most, companies, governments, and other organizations are investigating, testing, developing and using AI. It’s impossible to overstate the growing influence that AI will have. Years of research and development have made this technology ubiquitous. Institutions around the world are laying the groundwork to capitalize on its benefits. They are upskilling their workers, implementing experimental sandboxes and leveraging foundational models through APIs and open-source code.
A growing ecosystem of players continues to evolve as opportunities arise, such as AI-optimized chips, miniaturized hardware, machine learning operations (ML Ops) and software techniques to streamline model size and learning methods. AI-enabled apps and tools are accelerating and simplifying processes and jobs. For example, AI-enabled coding assistants let software developers write code up to twice as fast. AI will automate complex processes, gain insights from data and improve customer experiences. If businesses ignore AI or adopt it too slowly, they risk falling behind as AI starts to dominate our world.
Breakthroughs in generative AI have the potential to drive a $7 trillion increase in global GDP and lift productivity growth by 1.5 % over a 10-year period, according to Goldman Sachs Research.
ABI Research forecasts AI to contribute roughly $450 billion in value across various verticals by 2030.
According to the World Economic Forum, AI is projected to create around 97 million new jobs by 2025.
Service providers
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AI will help service providers streamline their operations for increased performance, cost savings and client satisfaction, as well as improving network performance, security, customer fulfillment, and retention. Business value, competitive advantage and profitability will be powered by AI.
Networks powered by AI can better handle changes in customer demand and supply chain interruptions. AI can automate and enhance network design, optimization and predictive maintenance. AI can predict equipment failures and proactively schedule maintenance before a network component fails. This reduces downtime, saves on repair costs and improves network reliability.
AI optimizes networks and analyzes data to find and fix performance bottlenecks. AI can find patterns, anomalies and trends in massive network traffic data. In real time, it can optimize and allocate bandwidth and frequency to maximize network efficiency and minimize downtime. To assure performance and quality of service during peak hours or high-traffic locations, the network might deploy additional resources. AI can help monitor and control network traffic to prioritize vital applications and services over less critical traffic improving QoS.
AI has the potential to help identify problems that have an influence on customer experiences and satisfaction, such as critical thresholds for latency or throughput. AI can also personalize customer experiences by analyzing customer data and preferences. It can provide tailored recommendations, troubleshoot common issues, and offer 24/7 customer support through chatbots or virtual assistants.
Innovative service providers will seek AI-powered approaches to create new differentiating streams of revenue, using AI network data to its fullest through APIs and dynamic pricing models. AI can also identify new revenue streams by analyzing customer behavior and preferences. Analyzing customer data, AI, can predict who is at risk of churning and can take proactive measures to retain the customer.
Whether the goal is operations savings or sustainability, AI will assist to optimize consumption by automating and forecasting the opportunities for dynamic energy savings based on network traffic load and user experience without compromising service quality. Real-time detection and mitigation of security risks is possible with AI-powered cybersecurity solutions. This involves detecting abnormal network behavior that may signal a security breach, safeguarding sensitive customer data and avoiding cyberattacks.
Priorities
- Reevaluate prior automation scope based on new AI capabilities and establish a task force to look for ways that large language models and generative AI might disrupt your organization.
- Study your existing data infrastructure and stay informed on which AI trends might advance your business objectives in the future. Create a robust company-wide data framework, infrastructure, and governance.
- Deploy responsible, secure, and private AI-first network components and networks with ubiquitous cognition. Make them explainable, generative, and responsible by design.
- Improve AI skills in your workforce and assess and implement value-added AI products to enhance productivity and processes within your business or organization.
Enterprises
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AI will help service providers streamline their operations for increased performance, cost savings and client satisfaction, as well as improving network performance, security, customer fulfillment, and retention. Business value, competitive advantage and profitability will be powered by AI.
Networks powered by AI can better handle changes in customer demand and supply chain interruptions. AI can automate and enhance network design, optimization and predictive maintenance. AI can predict equipment failures and proactively schedule maintenance before a network component fails. This reduces downtime, saves on repair costs and improves network reliability.
AI optimizes networks and analyzes data to find and fix performance bottlenecks. AI can find patterns, anomalies and trends in massive network traffic data. In real time, it can optimize and allocate bandwidth and frequency to maximize network efficiency and minimize downtime. To assure performance and quality of service during peak hours or high-traffic locations, the network might deploy additional resources. AI can help monitor and control network traffic to prioritize vital applications and services over less critical traffic improving QoS.
AI has the potential to help identify problems that have an influence on customer experiences and satisfaction, such as critical thresholds for latency or throughput. AI can also personalize customer experiences by analyzing customer data and preferences. It can provide tailored recommendations, troubleshoot common issues, and offer 24/7 customer support through chatbots or virtual assistants.
Innovative service providers will seek AI-powered approaches to create new differentiating streams of revenue, using AI network data to its fullest through APIs and dynamic pricing models. AI can also identify new revenue streams by analyzing customer behavior and preferences. Analyzing customer data, AI, can predict who is at risk of churning and can take proactive measures to retain the customer.
Whether the goal is operations savings or sustainability, AI will assist to optimize consumption by automating and forecasting the opportunities for dynamic energy savings based on network traffic load and user experience without compromising service quality. Real-time detection and mitigation of security risks is possible with AI-powered cybersecurity solutions. This involves detecting abnormal network behavior that may signal a security breach, safeguarding sensitive customer data and avoiding cyberattacks.
Priorities
- Reevaluate prior automation scope based on new AI capabilities and establish a task force to look for ways that large language models and generative AI might disrupt your organization.
- Study your existing data infrastructure and stay informed on which AI trends might advance your business objectives in the future. Create a robust company-wide data framework, infrastructure, and governance.
- Deploy responsible, secure, and private AI-first network components and networks with ubiquitous cognition. Make them explainable, generative, and responsible by design.
- Improve AI skills in your workforce and assess and implement value-added AI products to enhance productivity and processes within your business or organization.
Get the insights
AI is being used by businesses and industries to supplement human intelligence and innovation, allowing workers and leaders to make better decisions, increase productivity and competitiveness, and develop more effective, agile, and sustainable business and operation models.
AI's rising impact on businesses and industries cannot be overstated. This ubiquitous technology is being integrated into semiconductors, software platforms, networks and more across virtually all sectors, from healthcare to industrial operations. It will increasingly power critical operational software, networks and devices.
AI optimizes networks and analyzes data to find and fix performance bottlenecks. AI can find patterns, anomalies, and trends in massive network traffic data. In real time, it can optimize and allocate bandwidth and frequency to maximize network efficiency and minimize downtime. To assure performance and quality of service during peak hours or high-traffic locations, the network might deploy additional resources. AI can help monitor and control network traffic to prioritize vital applications and services over less critical traffic, improving QoS.
Whether the goal is operations savings or sustainability, AI will assist in optimizing consumption by automating and forecasting the opportunities for dynamic energy savings based on network traffic load and user experience without compromising service quality. Real-time detection and mitigation of security risks is possible with AI-powered cybersecurity solutions. This involves detecting abnormal network behavior that may signal a security breach, safeguarding sensitive customer data, and avoiding cyberattacks.
Priorities
- Reevaluate prior automation scope based on new AI capabilities and establish a task force to look for ways that large language models and generative AI might disrupt your organization.
- Study your existing data infrastructure and stay informed on which AI trends might advance your business objectives in the future. Create a robust company-wide data framework, infrastructure, and governance.
- Deploy responsible, secure, and private AI-first network components and networks with ubiquitous cognition. Make them explainable, generative, and responsible by design.
- Increase efficiency through AI-assisted software development.
- Improve AI skills in your workforce and assess and implement value-added AI products to enhance productivity and processes within your business or organization.
- Develop AI ethics and bias identification training for employees and partners to comply with AI ethics and regulations.
What’s next?
We are embracing responsible AI as a fundamental technology in the development of our products and services, driven by strong research from Nokia Bell Labs over many years. Our proposed architecture for 2030 is based on ubiquitous cognition (AI), starting from the infrastructure layer all the way to network management and applications. We are keen to help you evolve your network infrastructure and operational capabilities to fully leverage the opportunities presented by AI to transform your businesses for future success.
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