Summer time and our newest launch are right here, filled with an thrilling route, options, integrations, and prospects. We’ve been working exhausting to provide you all of the instruments you might want to 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 whole cloud infrastructure.
- CDOs, take into consideration how seamless information manipulation and perception extraction might be with the addition of generative AI.
- AI Builders, envision a platform stuffed with instruments that amplify your creativity and effectivity.
Right here’s what’s new in our summer time launch associated to our platform and ecosystem integrations:
1. The Subsequent Evolutions of Our Safe, Cloud-Native Platform
Nice improvements can come from AI, however with out correct scaling and safeguards, there’s a danger 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 may be deployed in the best way greatest suited in your wants, whether or not by way of our managed SaaS environments, self-managed in your VPC environments, or your individual {hardware}. Involved about defending your information? We’ve got bought you coated. Your delicate data stays confidential, and customers can work together with it with out compromising their information or privateness.
Listed here are two main methods we’re serving to you retain AI initiatives safe 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 alternative. This offers them the safety and isolation sometimes related to a self-managed deployment however with the comfort of our managed providers.
2. DataRobot newest model is offered for Self-Managed VPC Prospects 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 entire value of possession for the client.
2. Open Ecosystem and Interoperability – Your Manner!
With broad ecosystem interoperability and open structure strategy, we’re taking a step ahead and introducing a brand new space of generative AI and extra integrations and assist throughout your complete AI lifecycle.
Generative AI-ready platform: Whether or not you’re working with predictive or generative AI throughout varied environments, now, with our All-in-One Generative AI Platform, you get constant expertise for growing and managing predictive and generative AI throughout cloud information warehouses, information lakes, practitioner instruments, and enterprise functions.
Integrations in AI Experimentation: Benefit from the freedom to work with all one of the best instruments and strategies, multi functional place.
- Azure OpenAI: Our hosted notebooks combine with Azure OpenAI, providing unparalleled generative AI help, automated code technology, enriched datasets, priceless insights, and optimization, enhancing productiveness and efficiency.
- Streamlit: Shortly 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 DataRobot-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 by way of the utilization of OAuth, Key-Pair Authentication, and Service Accounts. Moreover, 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 strategy ensures a sturdy and environment friendly information administration system tailor-made to satisfy varied wants.
- Hugging Face: With generative AI and the rise of extracting priceless insights from unstructured information, now you may get extra with our seamless integration with Hugging Face fashions.
Integrations in AI Manufacturing: Simply combine together with your whole expertise stack.
- Airflow: Orchestrate levels of the DataRobot machine studying pipeline utilizing Airflow. From ingesting information for mannequin constructing, retraining, or monitoring predictions to integrating DataRobot capabilities into bigger pipelines and mixing them with different providers, empowers you. Seamlessly clear your information and retailer or publish the outcomes to align together with your challenge wants.
- MLflow: Convey metadata from MLflow, together with assist for Azure Databricks, straight into DataRobot. Improve your governance methods and enrich your mannequin compliance documentation with customized content material to align together with your distinctive necessities.
- AzureML: Deploy skilled fashions from the DataRobot registry to AzureML Managed Endpoints after which monitor their efficiency and conduct utilizing DataRobot’s monitoring instruments. This integration gives a cohesive and streamlined option to handle your complete lifecycle of your fashions.
3. Expertise the DataRobot AI Platform
Able to take management over your whole cloud infrastructure with out giving up creativity, effectivity, and safety?
Expertise the facility of predictive and generative AI like by no means earlier than with our unique 30-day trial of the DataRobot AI Platform. Right here’s what you’ll be able to anticipate out of your 30-day journey:
- A guided tour that may fast-track you thru getting ready information, working experiments, and testing your fashions so you can also make data-driven selections
- Unprecedented entry to cutting-edge AI capabilities, from experimentation to manufacturing and generative AI.
- Leverage ecosystem integrations to simply and securely entry your information
- Construct customized chatbots in our generative AI workflows
- Forecast future outcomes with time collection modeling
- Assets for achievement embrace hands-on labs, AI accelerators, and a Group of utilized AI and product specialists to offer steering tailor-made to your online business targets.
You possibly can find out about all of this and extra from our summer time launch recording. Don’t miss out on this chance to discover the longer term. Enroll now in your 30-day trial and embark on a journey that may redefine the best way you’re employed, create, and envision what’s doable!
Concerning the creator
Atalia Horenshtien is a World Technical Product Advocacy Lead at DataRobot. She performs a significant function because the lead developer of the DataRobot technical market story and works intently with product, advertising and marketing, and gross sales. As a former Buyer Going through Knowledge Scientist at DataRobot, 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 or not talking to clients and companions or presenting at business occasions, she helps with advocating the DataRobot story and easy methods to undertake AI/ML throughout the group utilizing the DataRobot platform. A few of her talking periods on totally different subjects like MLOps, Time Collection Forecasting, Sports activities initiatives, and use instances from varied verticals in business occasions like AI Summit NY, AI Summit Silicon Valley, Advertising AI Convention (MAICON), and companions occasions reminiscent of Snowflake Summit, Google Subsequent, masterclasses, joint webinars and extra.
Atalia holds a Bachelor of Science in industrial engineering and administration and two Masters—MBA and Enterprise Analytics.
