Latin America. Cisco announced software innovations designed to simplify network management and protection. As today's businesses increasingly invest in digital technologies, IT teams are struggling with the amplified workload.
To ease this burden and allow IT to focus on delivering innovation, Cisco is introducing new AI and machine learning capabilities to enable IT teams to operate at the speed and scale of machines through personalized network information.
As part of its expanded capabilities offering, Cisco is also introducing innovations to more effectively manage users and applications across the enterprise network, from on-campus networks and wide-area networks to data centers and the IoT edge.
IT teams currently face a daunting challenge. According to 451 Research, nearly two-thirds of organizations report that their IT teams face a higher workload; but the increase in IT staff is only in a third of companies in the next year. At the same time, it has never been more imperative for IT to deliver great digital experiences in this hyper-competitive environment. Bridging the gap between a company's needs and available resources requires innovative network automation and analytics tools, data-driven and backed by artificial intelligence and machine learning.
Cisco, as a leader in networking and security, collects one of the best-informed and context-rich telemetry datasets in the IT industry. Now, Cisco is leveraging new software capabilities designed to use unidentified and aggregated data, which when combined with Cisco's 35 years of institutional knowledge in building global networks, result in smarter solutions that enable IT teams to operate more effectively.
These new capabilities will give IT teams:
• More visibility: No two networks are the same. Environments are always changing. Cisco continuously collects relevant data from local networks and correlates it with the telemetry set of aggregated data to create highly customized network baselines. These baselines are constantly learning and adapting as the number of devices, users, and applications evolves, and as environments change.
• More information: The complexity of the network has grown beyond the human scale of processing. Cisco uses machine learning to correlate the immense amount of data coming from the network with custom network baselines to uncover the issues that will have the greatest impact on the network. This increases the relevance of the problem, alerting IT to significant difficulties. It also uncovers trends and patterns, so IT can identify problems preemptively.
• Guided actions: Cisco uses machine reasoning algorithms and automated workflows to perform the logical troubleshooting steps an engineer would execute to solve them. This helps IT detect problems and vulnerabilities, analyze the root cause, and execute corrective actions faster than ever before.
