Summer season and our newest launch are right here, filled with an thrilling course, options, integrations, and prospects. We’ve been working exhausting to offer you all of the instruments it is advisable 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 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.
Right here’s what’s new in our summer season 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 suppleness with out sacrificing safety. It may be deployed in the way in which finest 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 now have acquired you coated. 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 accessible 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 primarily based on consumption, reducing the entire price of possession for the shopper.
2. Open Ecosystem and Interoperability – Your Approach!
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 assist throughout the complete AI lifecycle.
Generative AI-ready platform: Whether or not 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 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 the most effective instruments and methods, multi function place.
- Azure OpenAI: Our hosted notebooks combine with Azure OpenAI, providing unparalleled generative AI help, automated code era, enriched datasets, beneficial 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 resembling Snowflake, whereas nonetheless allowing entry via the utilization of OAuth, Key-Pair Authentication, and Service Accounts. Moreover, with the function of push-down processing, you may leverage your information warehouse’s pace and safety for in-data preparation and direct materialization. This complete method ensures a sturdy and environment friendly information administration system tailor-made to fulfill numerous wants.
- Hugging Face: With generative AI and the rise of extracting beneficial 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 complete know-how 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 companies, empowers you. Seamlessly clear your information and retailer or publish the outcomes to align together with your challenge wants.
- MLflow: Carry metadata from MLflow, together with assist for Azure Databricks, instantly 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 habits utilizing DataRobot’s monitoring instruments. This integration supplies a cohesive and streamlined solution to handle the complete lifecycle of your fashions.
3. Expertise the DataRobot AI Platform
Able to take management over your complete 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 may anticipate 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 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
- Sources for fulfillment embrace hands-on labs, AI accelerators, and a Neighborhood of utilized AI and product consultants to offer steering tailor-made to your enterprise targets.
You possibly can study all of this and extra from our summer season 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 can redefine the way in which you’re employed, create, and envision what’s potential!
In regards to the creator
Atalia Horenshtien is a International Technical Product Advocacy Lead at DataRobot. She performs a significant function because the lead developer of the DataRobot technical market story and works carefully with product, advertising, and gross sales. As a former Buyer Going through Information Scientist at DataRobot, Atalia labored with prospects in numerous industries as a trusted advisor on AI, solved advanced 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 periods on completely different subjects like MLOps, Time Sequence Forecasting, Sports activities initiatives, and use instances from numerous verticals in business occasions like AI Summit NY, AI Summit Silicon Valley, Advertising and marketing AI Convention (MAICON), and companions occasions resembling 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.