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July 21.2025
2 Minutes Read

China's Underwater AI Data Center: A New Era for Sustainable Computing

Chinese flag against clear blue sky, Underwater AI Data Centers.

Revolutionizing Data Centers: A Glimpse into China’s Underwater AI Facility

The launch of China’s $223 million underwater AI data center off the coast of Shanghai marks a significant leap towards sustainable computing. Designed by Hailanyun, this innovative facility cools high-performance servers using seawater and harnesses nearby offshore wind for energy, pushing the boundaries of how we think about both data processing and environmental consciousness.

Why Sustainable AI Computing Matters

As global demand for data processing surges, so does the environmental impact of traditional data centers. They are notorious energy consumers, with almost 40% of their energy used solely for cooling, straining both electricity and freshwater resources. According to a joint report from UNESCO and University College London, the growing energy toll of artificial intelligence—especially with larger models—poses sustainability concerns that cannot be ignored. As more organizations switch to AI applications, this problem becomes urgent.

How the Underwater Center Changes the Game

China's underwater data center emerges as a solution to this dilemma. By utilizing naturally cold seawater for cooling, it dramatically decreases energy and freshwater demands. With 198 server racks designed for intensive AI workloads, the facility boasts capabilities that allow it to train a large language model within just one day—transforming the data processing landscape. This new model serves as a prototype for potential global solutions, setting a new norm in sustainable computing.

Challenges and Considerations of Subsea Data Centers

While the benefits of underwater data centers are evident, they come with distinct challenges. For instance, warmer water discharge from cooling systems can impact marine life by reducing oxygen levels. However, Hailanyun representatives claim the temperature increase is minimal and not detrimental. Moreover, repairing underwater hardware could be significantly more complicated and costly than on land, raising questions about long-term viability.

Future Perspectives on Global Computing Standards

This initiative aligns with a growing trend in tech investments aimed at sustainable practices. As companies across the globe explore new ways to meet environmental standards, China's approach could influence practices in both developed and developing nations. The success of this underwater data center may inspire other regions to reconsider their power and cooling strategies, shaping a more sustainable future for technology.

Final Thoughts: The Broader Impact on Agile Development and Tech

As businesses adapt to new technology, integrating sustainable practices into development pipelines becomes paramount. Concepts like DevOps and Agile methodologies promote continuous improvement, and the principles can align with environmental consciousness. Embracing a synergy between Agile and sustainable computing will benefit not only tech companies but the global community, ultimately supporting broader ecological goals.

Monitoring how your own organization approaches similar issues will be essential. Are you ready to innovate alongside the advancements being made in AI and sustainability? By prioritizing the integration of sustainable practices in your workflows, not only does it present new opportunities for your business, but it also contributes positively to the planet’s future. Together, we can shape a better tomorrow.

Agile-DevOps Synergy

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11.01.2025

How Empathy, Data, and Visibility Enhance DevOps Maturity

Update Introduction: The New Age of DevOps In the rapidly evolving landscape of software development, the integration of empathy, data analytics, and operational visibility has emerged as pivotal to redefining DevOps maturity. As organizations adapt to the dual demands of accelerated AI adoption and the complexity of Agile methodologies, understanding the role of human elements in technology becomes paramount. Amy Carrillo Cotten's insights on how teams can leverage these components highlight a shift wherein technology reinforces—not replaces—the human aspect of development. Balancing Speed and Quality in Software Deployment One of the core challenges that DevOps teams face is the constant push to deliver software faster. However, this speed often comes at the expense of quality and oversight. Cotten points out that while automation enhances efficiency, the essence of DevOps maturity hinges on people, processes, and collaboration. Thus, teams must focus on how their coding contributes to broader business objectives and user experience, rather than merely increasing code output. This perspective is echoed in practices involving Agile DevOps, where the emphasis shifts towards iterative improvements and feedback loops. Empathy as a Foundation for Team Culture Injecting empathy into the DevOps culture can significantly enhance team productivity. The CAMS (Culture, Automation, Measurement, Sharing) principles, originally formulated by experts like Damon Edwards and John Philips, underscore this connection. By fostering an environment where team members prioritize effective collaboration over individual accolades, organizations can overcome the silos that often hinder agile progress. This culture of empathy not only promotes better communication across various roles—developers, quality assurance, and operations—but also nurtures a more stable, resilient work environment. Closing the Skill Gap: Reskilling and Continuous Improvement The widening skill gap brought about by AI and automation presents another hurdle for today's DevOps teams. Leaders are urged to focus on reskilling their teams, not only in technical proficiencies but also in understanding and utilizing data-driven insights. Cotten highlights the risks organizations face if they neglect creating a culture of continuous improvement. Integrating data analytics with individual and team performance metrics can help identify gaps in skills and processes, enabling targeted training that aligns with both the organization's goals and the agile practices of DevSecOps. Operational Visibility: The Key to Agility Operational visibility is indispensable for maintaining agility within the DevOps framework. As highlighted by Cotten, cohesive insights into performance metrics across the DevOps lifecycle are essential to prevent teams from reverting to siloed operations. By establishing transparent communication channels and robust feedback mechanisms, organizations can secure innovation without sacrificing reliability. This move towards integrating metrics and analytics not only assists in ensuring that development meets user needs but also streamlines workflows and reduces time-to-market. Future Trends: Empathy and Technology in Harmony Looking ahead, the future of DevOps is likely to be characterized by an even greater emphasis on empathy, transparency, and disciplined processes. As teams navigate the challenges posed by evolving technologies, a deep understanding of how to operate responsibly in a fast-paced development ecosystem will become crucial. Embracing a culture that values both human insights and technological advancements will differentiate successful companies in the crowded marketplace. Conclusion: A Call to Action for Agile Practices In this age of AI acceleration, DevOps teams must prioritize developing a culture anchored in empathy and continuous learning. The integration of automation, consistent measurement of workflows, and collaborative sharing within teams creates a fertile ground for sustained innovation. Organizations are encouraged to cultivate environments that embrace not only technical excellence but also emotional intelligence, ensuring that their teams can thrive amidst the complexities of digital transformation.

10.31.2025

Aembit’s Innovative IAM for Agentic AI Enhances Security and Control

Update The Rise of Agentic AI: Why Control Matters As artificial intelligence (AI) continues to evolve and integrate itself into various industries, the question of identity and access management for these AI systems is becoming increasingly paramount. Aembit, a leading technology firm, unveiled its new Identity and Access Management (IAM) system specifically designed for agentic AI—AI that operates autonomously on behalf of human users. This comes at a critical time, as recent surveys reveal that nearly half of technology executives are either implementing or planning to deploy autonomous AI within the next two years. Understanding Aembit's Approach Aembit’s IAM for Agentic AI introduces innovative features like Blended Identity and the MCP Identity Gateway. These advancements not only secure the identity of AI agents but also facilitate their seamless interaction with enterprise resources. This control is essential as many organizations transition from traditional systems, primarily designed for human users, to environments where self-directed software plays a greater role. The Blended Identity feature ensures that each AI agent has a unique cryptographically verified identity, allowing organizations to manage access policies with a level of accountability previously unattainable. This is a significant step at a time when most access models still rely on static credentials that pose security risks. Aembit's approach aims to bridge the widening security gap between AI adoption and risk management. Addressing Concerns Over AI Security The rapid adoption of AI agents poses several challenges, including accountability for actions taken by machines. Traditional access management systems often obscure the individual actions of AI agents behind human identities. Aembit offers a solution to this dilemma by ensuring that each agent’s activities are auditable, thus enhancing both security and compliance. Through its IAM system, Aembit records every decision made by AI agents, therefore maintaining a detailed account of interactions with sensitive data across various environments, be it cloud-based, on-premises, or SaaS. This durability in recording empowers organizations to maintain operational integrity while adopting advanced AI technologies. Key Features of Aembit IAM for Agentic AI Two primary features define Aembit's offering: Blended Identity: This feature allows each agent to act on behalf of verified humans, creating a unified identity that is traceable and secure. MCP Identity Gateway: This system authenticates AI agents in real-time, enforcing access policies, and facilitating a secure connection to resources without exposing sensitive information. The integration of these features enables organizations to implement a least-privilege access model, ensuring that agents only have permissions vital for their tasks. In a landscape increasingly dominated by AI-driven tasks, implementing these capabilities can significantly reduce potential risks associated with data breaches or unauthorized access. Future Predictions: The Path to Secure AI As we gaze into the future of AI, Aembit’s innovations signify a broader trend toward enhanced security protocols for non-human actors. With growing dependence on AI across sectors, organizations that fail to adapt their access management will likely find themselves vulnerable. Experts predict that the demand for stringent security measures will only rise, encouraging more companies to adopt platforms like Aembit’s. In the coming years, we can expect to see enhanced features aimed at improving AI transparency and security, engendering trust among users. Conclusion: Embracing the Change As we stand on the brink of further integrating AI into our daily operations, Aembit’s IAM for Agentic AI offers a compelling solution to some of the most pressing challenges facing organizations today. By giving enterprises the tools to securely manage AI agents, Aembit helps mitigate risks while allowing businesses to leverage the full potential of autonomous AI. To learn more about how Aembit’s solutions can assist your organization in navigating the complexities of AI and identity management, consider signing up for a demo today.

11.01.2025

Unlocking the Future of Customer Service with Intelligent Call Routing

Update Revolutionizing Customer Engagement with Intelligent Call Routing In today's fast-paced world, efficient customer service is no longer just a luxury; it’s a necessity. Intelligent Call Routing (ICR) is leading the charge in transforming how call centers operate, improving key performance metrics and enhancing customer satisfaction simultaneously. With advancements in technology and AI, businesses are now capable of leveraging real-time data to connect customers with the right agents instantly, reducing wait times and enriching the customer experience. Understanding Intelligent Call Routing Intelligent Call Routing goes beyond mere automation. By utilizing data from Customer Relationship Management (CRM) systems, AI-driven analytics, and real-time agent states, ICR ensures that calls are matched with the most suitable agent for the customer’s needs. This method not only helps in streamlining operations but also plays a pivotal role in driving higher first-contact resolution (FCR) rates and lowering average handling time (AHT). The Technology Behind the Scenes At its core, ICR utilizes multiple data signals to create a nuanced understanding of each customer interaction. For instance, it considers factors like past purchase history, preferred communication methods, and even the sentiment of the customer’s inquiry. This layered approach ensures that the right agent, equipped with the right knowledge, addresses the customer’s query immediately. Benefits of AI in Call Routing AI-driven call routing not only improves efficiency but also enhances the overall quality of service. Studies indicate that such systems can save an average of 1.2 hours of productivity per agent each day, allowing teams to manage higher call volumes more effectively. Furthermore, with fewer transfers and reduced customer frustration, businesses witness an uptick in overall customer satisfaction. Comparison: Traditional vs. Intelligent Call Routing Traditional call routing systems often rely on fixed, linear rules that can lead to inefficiencies, especially in a landscape where customer expectations are evolving rapidly. Unlike ICR, which uses a dynamic model to assess and respond to customer needs, traditional systems are less responsive and can lead to longer wait times for customers. The trend of moving towards AI-driven solutions is clear; businesses that adapt will find themselves better positioned in an increasingly competitive market. The Future of Call Centers As the demand for personalized customer experiences grows, so will the implementation of intelligent call routing systems. Companies like Verloop.io are already integrating powerful AI-driven solutions that promise seamless transitions between voice AI agents and human representatives, ensuring that customer queries are addressed promptly and effectively. Making Informed Decisions Choosing the right AI call routing software can make a significant difference in a company’s call center operations. Businesses should look for solutions that integrate smoothly with existing tools, support multilingual communication, and provide ongoing learning capabilities to improve the system's performance over time. Final Thoughts The shift towards AI-powered intelligent call routing is not just a technological upgrade; it’s a fundamental transformation of customer service ethos. By prioritizing customer context and improving decision-making during calls, businesses can expect to see significant improvements in operational efficiency and customer satisfaction. For businesses aiming to elevate their customer support, embracing ICR is no longer optional—it’s essential.

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