Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Spark New Zealand Strengthens Its IoT Platform with Cisco to Help Business Customers Improve Productivity

  • Spark New Zealand is helping its IoT customers improve service reliability and reduce operational costs by advancing its IoT Control Center platform with new AI/ML features from Cisco.
  • Cisco has added two new modules to the Cisco IoT Control Center connectivity platform that can process massive amounts of data in near real time for IoT customers.
  • With these new capabilities, Spark customers can detect and address potential issues with their IoT deployments as early as possible, helping to simplify cost management and minimize unexpected charges.

Spark New Zealand is advancing its IoT Control Center platform powered by Cisco with new features to help businesses improve service reliability and reduce operational costs using machine learning and artificial intelligence.

IoT deployments generate vast amounts of data per day, making it impossible for enterprise customers to personally monitor their IoT deployment and catch issues when they arise. This can lead to larger problems impacting service reliability, increasing cost, and compromising security.

Cisco is solving this challenge for Spark with two new modules added to the Cisco IoT Control Center connectivity platform that use advanced proprietary machine learning algorithms to process massive amounts of data in near real time for its enterprise customers. New modules include:

Download Our Top Whitepaper : Building Reliable and Secure Fintech Systems in 2022

Related Posts
1 of 40,851
  • Anomaly Detection: monitors each enterprise customer independently and trains itself on the device’s behaviors to determine what is normal and what is abnormal, flagging any anomalies, allowing the customer to review and address potential issues as quickly as possible.
  • Cost Optimization: analyzes the entire device deployment and determines the optimal rate plan for each device based on actual data usage for the current b****** cycle, saving enterprises up to 15% off their typical connectivity costs.

“By adding these enhancements to Cisco IoT Control Center, we continue to strengthen our IoT capabilities to reduce customer operational and b****** issues and enhance our value to enterprise customers,” said Tony Agar, Spark IoT lead. “Through our partnership with Cisco we are able to help businesses become more productive, resilient and sustainable through innovative technology.”

“Spark continues to differentiate itself by driving innovation to help its customers realize the full potential of IoT to help lower costs, and automate services,” said Masum Mir, Vice President, Mobility, Automation and IoT Control, Cisco. “With these advancements to Cisco IoT Control Center, Spark enterprise customers can detect and address potential issues with their IoT deployments as early as possible, simplify cost management and minimize unexpected charges.”

Recommended AI News: ColdQuanta Expands Executive Team with Appointment of Photonics and Software Technologists

[To share your insights with us, please write to sghosh@martechseries.com]

Comments are closed.