The combined offering will include the leading MLOps solution, MCenter, as part of Aricent’s Intelligent Autonomous Networking Platform, NetAnticipateTM
ParallelM, a rapidly growing company in the machine learning operationalization (MLOps) space, announced that Aricent, a global design and engineering company, has selected the Company’s MLOps solution, MCenter, to strengthen its AI-driven network operation solution for communication service providers (CSPs) and network equipment providers (NEPs).
Through this partnership with ParallelM, Aricent will now offer MCenter as part of its award-winning Network AI Platform, NetAnticipate, which helps CSPs and NEPs realize self-learning networks for zero human touch network operation in order to address the 5G network management challenges. The highly scalable, intent-based platform, which was recently named “Best AI/ML Application” in the “Innovation & Technology” category from Layer123’s Network Transformation Awards (NetTAs), helps monitor, predicts anomalies and takes preventative measures in real-time using a cognitive feedback loop. MCenter will also be included as part of Aricent’s additional artificial intelligence and machine learning solutions.
“Today, machine learning and artificial intelligence are of growing importance for many companies in order to offer competitive products and services that provide real, unique value to customers,” said Subhash Chopra, Director Technology Innovation Group at Aricent. “Our partnership with ParallelM will enable us to enhance our offerings in AI/ML, empowering enterprises, CSPs and NEPs to further their critical AI initiatives, accelerating the path to get more models into production, and have class-leading ML health as well as production model governance.”
MCenter delivers a unique approach for MLOps, addressing ML production issues head-on by automating ML-optimized continuous deployment and integration, ensuring the quality of live ML applications, and empowering data science and operations teams with innovative visualization and collaboration facilities to manage the ML applications over time. Using MCenter, business teams can mitigate risk, ensure compliance, assess, and optimize the ROI of their AI initiatives. By providing a single, unified software solution for the full ML production lifecycle, MCenter enables companies to move confidently into the critical phase of realizing and scaling ML business value.
“We’re excited to partner with Aricent in order to help companies fulfill their machine learning goals,” said Sivan Metzger, CEO of ParallelM. “Like ParallelM, Aricent believes that in order for companies to take full advantage of machine learning, they must take a unified approach to ML production delivery that combines technology, processes, and people.”