After years of experience, Modzy understood what it really takes to responsibly deploy machine learning and AI solutions across sectors and functions. And it recognizes very common challenges for organizations:
Modzy was purpose-built to solve these challenges. It gathered the greatest thinkers and doers in the business—people with deep experience empowering government and private sector organizations with AI to better serve citizens and customers—to build an open enterprise AI platform and marketplace. A platform that doesn’t lock customers into an end-to-end ML training solution or tie to one cloud ecosystem, and provides customers access to industry leading models without having to contract with every bespoke AI software vendor. Big ideas took root, a lot of passionate discourse and development took place, and Modzy devised a solution that shifts the paradigm in everyone’s favor.
The firm aims to help organizations developing their own AI leapfrog into production while managing and securing their models along the way. It also helps organizations just getting started. Existing ready-to-deploy AI models make it easy to adopt AI into workflows.
Modzy’s motto–choice, speed and scale, security–says it all. And Modzy does it all, accelerating an organizations’ ability to accelerate their AI adoption by efficiently and securely move AI from the lab to practical and responsible applications that matter most.
AI model retraining is crucial to keeping models up-to-date and performant on new data. While humans have a natural ability to transfer knowledge and experience across different tasks and domains, machine learning models still struggle with generalizability. This means that countless hours and resources are spent training models from scratch to perform against slightly different datasets, rather than retraining machine learning models to be more generalizable. Transfer learning refers to the concept of improving a machine learning model’s performance by transferring the knowledge acquired during training to a different, but related, dataset. In simpler terms, transfer learning allows you to quickly retrain an AI model that was already trained, on your own dataset, which makes the model tailored to, and more performant, on your dataset.
Modzy makes it easy for you to deploy, manage, and monitor your models in production at scale, ultimately enabling AI management for your enterprise. Modzy accelerates MLOps and ModelOps for organizations, allowing ongoing AI management and security. With Modzy, you’re laying the groundwork for long-term AI management.
The Modzy Model Deployment Feature enables data scientists to quickly deploy AI models into production – reducing what currently takes months into a matter of hours.
Upload your own models to your own private instance of the marketplace using Modzy’s super easy-to-use self-service model upload feature, for deployment, management, and monitoring.
“MLOps is the key to ensuring success for enterprise AI deployments. Modzy’s Platform Management and Model Management features enable real-time monitoring of AI use across your organization. Optimize AI use for your unique infrastructure needs, and leverage audit logs and usage analytics for insight into overall AI health, usage, and performance,” says Modzy.
Civil Government: Federal civilian agencies are looking out for opportunities in to enhance their capacity for better data-driven decision-making. Whether it be through identifying patterns and insights from large datasets, automating routine, rote, or redundant processes, or flagging anomalous behavior to detect fraud, waste and abuse, AI has the potential to transform operations across civil government agencies.
The biggest challenge for civil agencies today is identifying and prioritizing the right opportunities for AI deployment to make good use of already strained resources.
AI is helping businesses elevate productivity gains, quicken processing seeds, and cost savings. For civil government agencies without a robust bench of data science talent, Modzy offers access to ready-to-deploy, pre-trained AI models across a wide range of AI capabilities, including computer vision and natural language processing. Modzy also provides a platform for managing and scaling deployment to the enterprise. For organizations further along in their AI adoption journeys, the Modzy platform allows for management and governance of all AI assets in a centralized location, easing the burden of the IT and IS organizations tasked with overseeing new technology implementations.
Life Sciences: Given the immense costs and lead times to bring a new vaccine or drug to market, AI is increasingly becoming embedded across the life sciences industry, from biotechs and academia to pharmaceuticals and manufacturers, to help find better answers faster. Stakeholders also need assurance these answers are accurate, safe, and reliable. Let’s face it. As the firm ponders what’s next, two things are painstakingly clear. The need for speed has never been greater. So is the demand for information and products it can trust.
Large AI investments are yielding strong returns, from expediting drug discovery and clinical trials to personalizing telemedicine. Across the board, AI transforms data into insights, insights into predictions and recommendations, ultimately leading to efficient, life-saving action. Yet much of this progress is hindered by the fact that industry professionals don’t trust AI predictions. That’s a huge stumbling block to overcome when human lives are at stake.
Dr. Josh Sullivan, leader of Modzy
He is part entrepreneur, part mad scientist, and all-around geek. He gets to lead Modzy and the talented dream team of people who make Modzy’s platform and marketplace come to life. Together they are accelerating the adoption of AI in a whole new way.
“I like to write books, wish I could fly airplanes again, and give a lot of conference talks and media interviews. Add in my family and two kids, and wow, my days are full of fun. Now that we’re connected, say Hi on Twitter or LinkedIn and share something amazing with me.”
“The only way to responsibly deploy, manage, and scale your AI.”