(Image Credit: iStockPhoto/VasukiRao)
Nokia has introduced two new services designed to help operators increase efficiency using artificial intelligence and predictive analytics.
MIKA (Multi-purpose Intuitive Knowledge Assistant) is a specialized digital assistant for telecommunications operators that provides fast access to detailed, practical information. Built on Nokia’s AVA platform, MIKA aims to streamline engineers’ workflows by connecting them to proven solutions and best practices when troubleshooting and maintaining networks.
Nokia says MIKA is the first assistant specifically trained for the telecoms industry, offering more targeted and concise guidance than general-purpose assistants. By automating the search for relevant information and recommendations, MIKA reduces the time engineers spend hunting for answers online or waiting to consult colleagues with domain expertise.
In an internal assessment within a Network Operations Center, Nokia reports that using MIKA could return more than one hour of productive time to each engineer every day. The assistant draws on the AVA knowledge repository, which consolidates best practices and lessons learned from Nokia projects around the world. MIKA is available through a web interface so engineers can retrieve guidance wherever they are working.
“Finding the right information is a daily challenge for telco engineers tasked with boosting network quality,” says Igor Leprince, Head of Global Services at Nokia. “MIKA taps into the power of the Nokia AVA platform to provide quick and accurate answers, avoiding time wasted on fruitless searches. MIKA is customized to support the specific needs of telecoms, and can deliver recommendations based on experience from networks around the world.”
Complementing MIKA, Nokia is launching Predictive Repair, a service that forecasts faults up to 14 days in advance with up to 95 percent accuracy. By providing advance warning of potential failures, Predictive Repair reduces network downtime, minimizes unnecessary site visits, and enables better allocation of maintenance resources, supporting a shift from reactive break-fix processes to proactive, continuous hardware care.
Predictions are generated from combined data sources including network telemetry, repair center records, and factory data for Nokia products. Because the analysis relies on signals from Nokia equipment, Predictive Repair is available to operators using the vendor’s 3G and 4G hardware. This aggregated data is processed with Nokia Bell Labs machine learning algorithms to identify patterns and predict likely failures ahead of time.
MIKA is available now for customer trials and Nokia planned demonstrations at Mobile World Congress 2017 in Barcelona. Predictive Repair was scheduled to be available for customer trials in March 2017.
What are your thoughts about Nokia’s latest services? Let us know in the comments.