Introducing the Newest Developments in Our Platform and Ecosystem with Generative AI at DataRobot Summer time Launch #Imaginations Hub

Introducing the Newest Developments in Our Platform and Ecosystem with Generative AI at DataRobot Summer time Launch #Imaginations Hub
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Summer time and our newest launch are right here, filled with an thrilling path, options, integrations, and potentialities. We’ve been working laborious to offer you all of the instruments you might want to innovate and excel, whether or not you’re a developer, a knowledge scientist, or a enterprise chief. 

  • CIOs, think about having much more sturdy management over your total 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 crammed with 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 greatest suited in your wants, whether or not by way of our managed SaaS environments, self-managed in your VPC environments, or your personal {hardware}. Involved about defending your information? We’ve acquired you lined. 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 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 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 out there 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, reducing the whole value of possession for the client. 

2. Open Ecosystem and Interoperability – Your Manner!

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 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 the most effective 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, useful insights, and optimization, enhancing productiveness and efficiency.
  • Streamlit: Shortly prototype your most popular utility 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 corresponding to 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 velocity and safety for in-data preparation and direct materialization. This complete method 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 useful 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 total 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 providers, empowers you. Seamlessly clear your information and retailer or publish the outcomes to align together with your undertaking wants.
  • MLflow: Deliver 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 together 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 offers a cohesive and streamlined approach to handle your entire lifecycle of your fashions.

3. Expertise the DataRobot AI Platform

Able to take management over your total cloud infrastructure with out giving up creativity, effectivity, and safety?

Expertise the ability 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 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 collection modeling 
  • Sources for fulfillment embrace hands-on labs, AI accelerators, and a Group of utilized AI and product specialists to offer steering tailor-made to what you are promoting targets. 

You may find out about all of this and extra from our summer season launch recording. Don’t miss out on this chance to discover the long run. Enroll now in your 30-day trial and embark on a journey that may redefine the way in which you’re employed, create, and envision what’s attainable!

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In regards to the writer

Atalia Horenshtien

International Technical Product Advocacy Lead, DataRobot

Atalia Horenshtien is a International Technical Product Advocacy Lead at DataRobot. She performs an important 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 Dealing with Knowledge Scientist at DataRobot, Atalia labored with clients in several industries as a trusted advisor on AI, solved advanced information science issues, and helped them unlock enterprise worth throughout the group.

Whether or not chatting with clients and companions or presenting at trade 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 totally different subjects like MLOps, Time Collection Forecasting, Sports activities initiatives, and use instances from varied verticals in trade occasions like AI Summit NY, AI Summit Silicon Valley, Advertising AI Convention (MAICON), and companions occasions corresponding 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.

Meet Atalia Horenshtien


Daniel Gunderson
Daniel Gunderson

Product Supervisor, Platform at DataRobot

Dan Gunderson is an skilled Platform Product Supervisor adept at overseeing essential product safety and entry management elements for DataRobot’s AI Platform. Between his expertise as an officer within the Air Drive and his time as a product supervisor in a Collection A startup, he’s an skilled at understanding buyer necessities and main initiatives via to completion. He’s centered on making DataRobot an enterprise-grade self-service platform that’s straightforward to make use of and safe.

In his free time, Dan likes to surf the seashores of Southern California and go on hikes along with his spouse and two canine.

Meet Daniel Gunderson


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