Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

DataRobot Now Available on AWS Marketplace

New Delivery Reinforces DataRobot’s Commitment to Deployment Flexibility and Enhancing AI ROI for Its Global Customer Base

DataRobot, the leader in enterprise AI, announced the availability of its enterprise AI platform on the Amazon Web Services (AWS) Marketplace. The AWS Marketplace is a curated digital catalog that makes it easy for customers to find, buy, deploy, and manage third-party software, data, and services that customers need to build solutions and run their businesses. The addition to the AWS Marketplace will make it easier to purchase DataRobot and help customers get from raw data to value even faster.

“By coupling DataRobot’s enterprise AI platform with the power of the cloud and the AWS Marketplace, users will be able to easily build, deploy, and monitor machine learning models that yield actionable insights and ROI for organizations”

DataRobot’s customers span all industry sectors and have collectively built more than 1.4 billion models on the cloud enterprise AI platform — adding 2.5 million models daily. Many customers, including Fortune 500 companies, deploy DataRobot in a Virtual Private Cloud (VPC) on AWS. This approach fits into their existing cloud strategy and architecture, leverages the elastic nature of the cloud and AWS’ capabilities, optimizes modeling performance as well as compute cost, and ultimately enhances their AI ROI. Other customers note the agility of DataRobot’s Managed AI Cloud — a Software-as-a-Service (SaaS) solution which is also available on AWS. Today’s announcement reinforces DataRobot’s commitment to offering customers the best-in-class enterprise AI platform on the cloud of their choice.

Read More: RegTech Startup Tookitaki Raises $11.7 Million In Series A Funding

Related Posts
1 of 40,534

“Our customers have continuously emphasized the value of being able to rapidly procure and deploy DataRobot in the cloud, and having flexibility is paramount in our mission of delivering AI with ROI,” said Michael Setticasi, Senior Director of Business Development. “We’re excited to further strengthen our partnership with AWS by offering this new channel to market and look forward to delivering increased value for our customers through this expanded relationship.”

Read More: Parity Technologies Hires Zilliqa Co-Founder and CTO Yaoqi Jia as Polkadot’s Launch Nears

DataRobot is backed by $431 million in funding which has enabled 1.4 million person-hours of engineering innovation since 2012. The most recent outcome of that hard work and investment is DataRobot MLOps, the recently announced addition to the DataRobot platform. MLOps offers users a centralized control panel for deployment, monitoring, management, and governance of machine learning models in production environments across any cloud. Customers and prospective customers will also be able to procure MLOps through the AWS Marketplace.

“By coupling DataRobot’s enterprise AI platform with the power of the cloud and the AWS Marketplace, users will be able to easily build, deploy, and monitor machine learning models that yield actionable insights and ROI for organizations,” said Chris Grusz – Director of WW Business Development, AWS Marketplace. “We are excited to continue building upon our partnership with DataRobot by offering our customers a platform that moves the insights needle.”

Read More: Blockchain in Healthcare Will Live up to the Hype Versus Reality for Stakeholders

2 Comments
  1. Iron sorting says

    Metal waste baling Ferrous material supply chain optimization Iron recycling and reclaiming center

    Ferrous material closed-loop systems, Iron waste reprocessing, Global metal commodity trade

  2. Copper scrap processing methods says

    Scrap copper pricing Copper scrap alloying Scrap metal branding
    Copper cable recycling statistics, Responsible metal recycling, Copper scrap monitoring

Leave A Reply

Your email address will not be published.