Summer and our newest launch are right here, filled with an thrilling path, options, integrations, and potentialities. We’ve been working exhausting to present you all of the instruments that you must innovate and excel, whether or not you’re a developer, an information scientist, or a enterprise chief.
- CIOs, think about having much more sturdy management over your complete cloud infrastructure.
- CDOs, take into consideration how seamless information manipulation and perception extraction may very well be with the addition of generative AI.
- AI Builders, envision a platform full of instruments that amplify your creativity and effectivity.
Here’s what’s new in our summer season launch associated to our platform and ecosystem integrations:
1. The Next Evolutions of Our Secure, Cloud-Native Platform
Great improvements can come from AI, however with out correct scaling and safeguards, there’s a threat of safety and efficiency points. We constructed a platform that makes use of cloud and container applied sciences to allow scalability and adaptability with out sacrificing safety. It could be deployed in the way in which finest suited on your wants, whether or not through our managed SaaS environments, self-managed in your VPC environments, or your personal {hardware}. Concerned about defending your information? We have gotten you lined. Your delicate info stays confidential, and customers can work together with it with out compromising their information or privateness.
Here are two main methods we’re serving to your AI initiatives be safer, with out slowing down:
1. HIPAA Compliant Single-Tenant SaaS: Our Single-Tenant SaaS providing is now HIPAA compliant on each AWS and Azure. Healthcare suppliers can now entry AI Platform as a managed service within the cloud area of their selection. This provides them the safety and isolation usually related to a self-managed deployment however with the comfort of our managed providers.
2. DataRobotic newest model is offered for Self-Managed VPC Customers on Azure: Our newest model is now licensed on Azure Kubernetes Service for Self-Managed clients who want to run in their very own VPC. This deployment dynamically scales modeling workloads based mostly on consumption, decreasing the full price of possession for the client.
2. Open Ecosystem and Interoperability – Your Way!
With broad ecosystem interoperability and open structure method, we’re taking a step ahead and introducing a brand new space of generative AI and extra integrations and help throughout your entire AI lifecycle.
Generative AI-ready platform: Whether you’re working with predictive or generative AI throughout numerous environments, now, with our All-in-One Generative AI Platform, you get constant expertise for creating and managing predictive and generative AI throughout cloud information warehouses, information lakes, practitioner instruments, and enterprise functions.
Integrations in AI Experimentation: Enjoy the liberty to work with all the very best instruments and methods, multi function place.
- Azure OpenAI: Our hosted notebooks combine with Azure OpenAI, providing unparalleled generative AI help, automated code technology, enriched datasets, worthwhile insights, and optimization, enhancing productiveness and efficiency.
- Streamlit: Quickly prototype your most popular software in Streamlit both in a couple of clicks from our UI expertise or with our templates hosted in our GitHub repo for deploying DataRobotic-developed capabilities
- Cloud warehouses: We provide a safe connection to your cloud warehouse, permitting you to retain full management and safety over environments reminiscent of Snowflake, whereas nonetheless allowing entry via the utilization of OAuth, Key-Pair Authentication, and Service Accounts. Additionally, with the characteristic of push-down processing, you’ll be able to leverage your information warehouse’s velocity and safety for in-data preparation and direct materialization. This complete method ensures a strong and environment friendly information administration system tailor-made to satisfy numerous wants.
- Hugging Face: With generative AI and the rise of extracting worthwhile insights from unstructured information, now you will get extra with our seamless integration with Hugging Face fashions.
Integrations in AI Production: Easily combine along with your complete expertise stack.
- Airflow: Orchestrate levels of the DataRobotic machine studying pipeline utilizing Airflow. From ingesting information for mannequin constructing, retraining, or monitoring predictions to integrating DataRobotic capabilities into bigger pipelines and mixing them with different providers, empowers you. Seamlessly clear your information and retailer or publish the outcomes to align along with your undertaking wants.
- MLflow: Bring metadata from MLflow, together with help for Azure Databricks, instantly into DataRobotic. Enhance your governance methods and enrich your mannequin compliance documentation with customized content material to align along with your distinctive necessities.
- AzureML: Deploy skilled fashions from the DataRobotic registry to AzureML Managed Endpoints after which monitor their efficiency and conduct utilizing DataRobotic’s monitoring instruments. This integration offers a cohesive and streamlined solution to handle your entire lifecycle of your fashions.
3. Experience the DataRobotic AI Platform
Ready to take management over your complete cloud infrastructure with out giving up creativity, effectivity, and safety?
Experience the facility of predictive and generative AI like by no means earlier than with our unique 30-day trial of the DataRobotic AI Platform. Here’s what you’ll be able to count on out of your 30-day journey:
- A guided tour that can fast-track you thru making ready information, working experiments, and testing your fashions so you may make data-driven choices
- Unprecedented entry to cutting-edge AI capabilities, from experimentation to manufacturing and generative AI.
- Leverage ecosystem integrations to simply and securely entry your information
- Build customized chatbots in our generative AI workflows
- Forecast future outcomes with time collection modeling
- Resources for achievement embrace hands-on labs, AI accelerators, and a Community of utilized AI and product specialists to supply steerage tailor-made to your enterprise objectives.
You can find out about all of this and extra from our summer season launch recording. Don’t miss out on this chance to discover the longer term. Sign up now on your 30-day trial and embark on a journey that can redefine the way in which you’re employed, create, and envision what’s attainable!
About the creator
Atalia Horenshtien is a Global Technical Product Advocacy Lead at DataRobotic. She performs an important position because the lead developer of the DataRobotic technical market story and works intently with product, advertising, and gross sales. As a former Customer Facing Data Scientist at DataRobotic, Atalia labored with clients in several industries as a trusted advisor on AI, solved complicated information science issues, and helped them unlock enterprise worth throughout the group.
Whether chatting with clients and companions or presenting at business occasions, she helps with advocating the DataRobotic story and the way to undertake AI/ML throughout the group utilizing the DataRobotic platform. Some of her talking periods on totally different matters like MLOps, Time Series Forecasting, Sports tasks, and use instances from numerous verticals in business occasions like AI Summit NY, AI Summit Silicon Valley, Marketing AI Conference (MAICON), and companions occasions reminiscent of Snowflake Summit, Google Next, masterclasses, joint webinars and extra.
Atalia holds a Bachelor of Science in industrial engineering and administration and two Masters—MBA and Business Analytics.
Dan Gunderson is an skilled Platform Product Manager adept at overseeing essential product safety and entry management points for DataRobotic’s AI Platform. Between his expertise as an officer within the Air Force and his time as a product supervisor in a Series A startup, he’s an professional at understanding buyer necessities and main tasks via to completion. He’s targeted on making DataRobotic an enterprise-grade self-service platform that’s simple to make use of and safe.
In his free time, Dan likes to surf the seashores of Southern California and go on hikes together with his spouse and two canines.