| |OCTOBER 20248CIOReviewIN MY OPINIONIN MY OPINIONIN MY OPINIONIN MY OPINIONBy Irfan Ugur, Director of Information Technology, Turk TelekomThe telecommunications industry is undergoing a transformative shift driven by the convergence of 5G, IoT, AI and cloud Technologies. This convergence is creating a more connected and data-driven world, presenting both opportunities and challenges for telecommunications providers. It opens up new avenues for innovation and service delivery. On the other hand, it introduces complexities in managing and optimizing networks, ensuring data security, and delivering seamless service across multiple touchpoints.5G unlocks a new era of data-driven innovation. With faster speeds and lower latency, businesses can collect and analyze data in real time, leading to improved decision-making, optimized operations, and the development of entirely new services. As telco technology leaders, we are uniquely positioned to champion this transformation and ensure our organizations become AI-ready.AI-Ready Data 5G is a transformative technology that will fundamentally change how we interact with data. It's a future where data flows freely. The 3Ps - Predictive, Proactive, and Preventive operational approaches - will be critical to navigating the challenges and opportunities presented by 5G. By adopting these strategies, organizations can ensure a secure, efficient and optimized 5G ecosystem.The 5Vs of Big Data (Volume, Velocity, Variety, Veracity, and Value) have become even more critical to manage with the arrival of 5G.The data makes up 70 percent of the AI pyramid, and the quality and availability of data have a direct impact on the success of AI projects. To ensure the success of AI initiatives, it's essential to make data AI-ready, which involves two critical aspects: data governance and data management.Understanding the context of data, including how, when, and where it was captured, is vital for making data-driven decisions. We must ensure that data is properly labeled, categorized, and contextualized to derive meaningful insights and drive accurate AI models. Investing in data management solutions such as data lake house/data fabric enabling efficient data collection, storage and organization. This ensures the data used in AI models is accurate, complete, and readily accessible to AI teams. The full potential of AI technology can be unlocked and drive transformative outcomes across various domains, including customer experience, network operations and business efficiency.Scaling AIThe promise of AI is undeniable, but true transformation requires effective scaling of these solutions. Getting one or two AI models into production is very different from operationalizing hundreds of them. And as AI scales, problems can scale, too. To overcome the complexities of managing AI deployments, we adopted a new discipline, ML Ops. ML Ops establishes best practices and tools to facilitate the safe and efficient development and operationalization of AI models.The future of the telecom industry is undoubtedly AI-driven, by embracing these strategies­ building a skilled AI workforce, ensuring AI-ready data, and NAVIGATING THE INTERSECT OF AI, 5G, CLOUD AND OPEN SOURCE TECHNOLOGIESIrfan Ugur
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