Ease of Deployment, Built-in ML Health and Production Model Governance Key Factors in the Selection Process
ParallelM, a rapidly growing company pioneering the machine learning operationalization (MLOps) space, announced that Wisely, a provider of AI-powered non-profit fundraising solutions, has selected ParallelM’s MCenter to operationalize its machine learning. With MCenter, Wisely can quickly deploy and optimize new ML applications without needing additional resources to scale its fundraising productivity tool, which uses machine learning algorithms to produce real-time insights that are essential to successful non-profit fundraising.
“The integration of ParallelM’s MLOps solution into our platform allows us to provide better machine learning-based predictions, ensure pipeline health and increase the productivity of our customers’ fundraising efforts,” said Artiom Komarov, CEO and Co-Founder of Wisely. “Data garnered from machine learning and artificial intelligence can truly have a positive impact on non-profit fundraising, but the challenge has been scaling up the number of models inside of our application. ParallelM’s MCenter helps us not only deploy more machine learning into production but also manage and optimize its performance in real-world use cases.”
MCenter delivers a unique approach to MLOps, addressing ML production issues head-on by automating ML-optimized continuous deployment and integration, ensuring the quality and performance of live ML applications, and empowering data science and operations teams with innovative visualizations to manage 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 work with Wisely to help them provide their non-profit customers with the most accurate data and insights from its machine learning and artificial intelligence innovations,” said Sivan Metzger, CEO of ParallelM. “In other industries, we’ve seen the major role machine learning plays in improving outcomes and it is no different in the non-profit space.”