Summer season and our newest launch are right here, filled with an thrilling course, options, integrations, and prospects. We’ve been working exhausting to present you all of the instruments it is advisable 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 could possibly be with the addition of generative AI.
- AI Builders, envision a platform crammed 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 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 may be deployed in the best way greatest suited in your wants, whether or not through our managed SaaS environments, self-managed in your VPC environments, or your personal {hardware}. Involved about defending your information? We’ve got obtained you lined. Your delicate data stays confidential, and customers can work together with it with out compromising their information or privateness.
Listed below 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 provides them the safety and isolation usually related to a self-managed deployment however with the comfort of our managed companies.
2. DataRobot newest model is on the market for Self-Managed VPC Prospects on Azure: Our newest model is now licensed on Azure Kubernetes Service for Self-Managed prospects who want to run in their very own VPC. This deployment dynamically scales modeling workloads based mostly on consumption, reducing the entire price 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 entire 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 purposes.
Integrations in AI Experimentation: Benefit from the freedom to work with all one of the best instruments and strategies, 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: Rapidly prototype your most well-liked software in Streamlit both in just a few 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 akin to Snowflake, whereas nonetheless allowing entry by way of the utilization of OAuth, Key-Pair Authentication, and Service Accounts. Moreover, with the function 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 worthwhile insights from unstructured information, now you may get extra with our seamless integration with Hugging Face fashions.
Integrations in AI Manufacturing: Simply combine along with your whole know-how stack.
- Airflow: Orchestrate phases 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 companies, empowers you. Seamlessly clear your information and retailer or publish the outcomes to align along with your undertaking wants.
- MLflow: Carry metadata from MLflow, together with assist for Azure Databricks, immediately into DataRobot. Improve your governance methods and enrich your mannequin compliance documentation with customized content material to align along with your distinctive necessities.
- AzureML: Deploy educated fashions from the DataRobot registry to AzureML Managed Endpoints after which monitor their efficiency and habits utilizing DataRobot’s monitoring instruments. This integration supplies a cohesive and streamlined strategy to handle your entire 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 count on out of your 30-day journey:
- A guided tour that may fast-track you thru making ready information, operating experiments, and testing your fashions so you may 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 sequence modeling
- Assets for fulfillment embrace hands-on labs, AI accelerators, and a Group of utilized AI and product consultants to offer steerage tailor-made to your enterprise 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 long run. Join 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!
In regards to the writer
Atalia Horenshtien is a World Technical Product Advocacy Lead at DataRobot. She performs an important function because the lead developer of the DataRobot technical market story and works carefully with product, advertising, and gross sales. As a former Buyer Dealing with Information Scientist at DataRobot, Atalia labored with prospects in numerous 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 prospects and companions or presenting at business occasions, she helps with advocating the DataRobot story and the best way to undertake AI/ML throughout the group utilizing the DataRobot platform. A few of her talking classes on totally different matters like MLOps, Time Sequence Forecasting, Sports activities tasks, and use instances from varied verticals in business occasions like AI Summit NY, AI Summit Silicon Valley, Advertising AI Convention (MAICON), and companions occasions akin to 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.