![]() This enabled quick, almost unconscious decisions to get us out of potentially perilous situations. This is the result of hundreds of thousands of years of evolution where, as early hunter-gatherers, we developed a system of reasoning that relies on simple heuristics - shortcuts or rules-of-thumb that circumvent the high cost of processing a lot of information. Our brains are inflicted with many cognitive biases that impair our judgement in predictable ways. Our intuitions are far from ideal decision making instruments. Experience and gut instinct were most of what was available to discern good from bad, high from low, and risky vs. Professionals relied on their highly-tuned intuitions, developed from years of experience (and a relatively tiny bit of data) in their domain, to, say, pick the right creative for an ad campaign, determine the right inventory levels to stock, or approve the right financial investments. Just fifty to seventy five years ago human judgment was the central processor of business decision-making. To understand how best to leverage each its helpful to review our own biological evolution and how decision-making has evolved in industry. Humans and AI are both processors, with very different abilities. Data holds the insights that can enable better decisions processing is the way to extract those insights and take actions. ![]() Each term reflects different assets, the former focusing on data and the latter processing ability. We need to evolve from data-driven to AI-driven workflows.ĭistinguishing between “data-driven” and “AI-driven” isn’t just semantics. ![]() The term “data-driven” even implies that data is curated by - and summarized for - people to process.īut to fully leverage the value contained in data, companies need to bring artificial intelligence (AI) into their workflows and, sometimes, get us humans out of the way. Many people assume that processor is human. Data can improve decisions, but it requires the right processor to get the most from it. But this comes at a cost.Many companies have adapted to a “data-driven” approach for operational decision-making. In most cases, an operator uses two or three vendors to build the backhaul network, resulting in a multivendor proprietary OSS-based solution. This software module collects all the data from the network elements and abstracts the interfaces to manage them to higher management levels, allowing applications to SDN introduces a software module named domain controller that acts as the In the case of an unexpected event, a tempestive reaction can be put in place, avoiding criticalĮscalations and maximizing the network uptime.Īn evolution toward a new network management model-SDN, or software-defined networking-has been underway for some time. Thanks to the use of AI- and ML-empowered applications, raw big data can be analyzed by an artificial neural network (ANN), moving to an automated and reasoned approach to predict networkīehavior, recognize known network patterns, and intervene before an impairment happens. Troubleshooting to fix the outage and restore network operations. Once an event occurs, data is examined for The analysis of such a giant amount of data is a task of titanic proportions-and this is why it is generally done by operators in a reactive manner. On average, a European mobile operator has over 25,000 microwave radio links nationwide, generating over one million event records per day, plus several performance measurement points, generatingīulk data that can easily reach one to two billion records annually. ![]() The use of microwave radio as the preferred backhaul technology is expected to remain in the foreseeable future (forecasted to be over 60 percent in 2027). Today, according to research by GSMA and ABI, microwave radio technology accounts for over 65 percent of the This article examines 5G backhaul composition, network complexity, and the transformative potential of artificial intelligence on networks. When the unexpected occurs, a fast, efficient operating response makes the difference between seamless network performance and disruptions that interrupt traffic. The network must run with the highest reliability.Įven this is not enough, though. Infrastructure, capable of satisfying different services’ needs, from capacity and latency to sync and more. To successfully run high-performance 5G services, a mobile network requires an outstanding transport Complexity is costly, but it’s a reality in network performance and operations today.
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