{"id":18320,"date":"2020-04-26T23:12:26","date_gmt":"2020-04-26T23:12:26","guid":{"rendered":"https:\/\/rbsitsoftwaresolution.com\/blog\/comet-ml-nabs-4-5m-for-more-efficient-machine-learning-model-management.html"},"modified":"2020-04-26T23:12:26","modified_gmt":"2020-04-26T23:12:26","slug":"comet-ml-nabs-4-5m-for-more-efficient-machine-learning-model-management","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/comet-ml-nabs-4-5m-for-more-efficient-machine-learning-model-management.html","title":{"rendered":"Comet.ml nabs $4.5M for more efficient machine learning model management"},"content":{"rendered":"

As we get further along in the new way of working, the new normal if you will, finding more efficient ways to do just about everything is becoming paramount for companies looking at buying new software services. To that end, Comet.ml<\/a> announced a $4.5 million investment today as it tries to build a more efficient machine learning platform.<\/p>\n

The money came from existing investors Trilogy Equity Partners, Two Sigma Ventures and Founder\u2019s Co-op. Today\u2019s investment comes on top of an earlier $2.3 million seed.<\/p>\n

\u201cWe provide a self-hosted and cloud-based meta machine learning platform, and we work with data science AI engineering teams to manage their work to try and explain and optimize their experiments and models,\u201d company co-founder and CEO Gideon Mendels told TechCrunch.<\/p>\n

In a growing field with lots of competitors, Mendels says his company\u2019s ability to move easily between platforms is a key differentiator.<\/p>\n

\u201cWe\u2019re essentially infrastructure agnostic, so we work whether you\u2019re training your models on your laptop, your private cluster or on many of the cloud providers. It doesn\u2019t actually matter, and you can switch between them,\u201d he explained.<\/p>\n

The company has 10,000 users on its platform across a community product and a more advanced enterprise product that includes customers like Boeing, Google and Uber.<\/p>\n

Mendels says Comet has been able to take advantage of the platform\u2019s popularity to build models based on data customers have made publicly available. The first one involves predicting when a model begins to show training fatigue. The Comet model can see when this happening and signal data scientists to shut the model down 30% faster than this kind of fatigue would normally surface.<\/p>\n

The company launched in Seattle at TechStars\/Alexa in 2017. The community product debuted in 2018.<\/p>\n

Article source: http:\/\/feedproxy.google.com\/~r\/techcrunchIt\/~3\/e9pGq9gQ3YA\/<\/p>","protected":false},"excerpt":{"rendered":"

As we get further along in the new way of working, the new normal if you will, finding more efficient ways to do just about everything is becoming paramount for <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[19],"tags":[25],"class_list":["post-18320","post","type-post","status-publish","format-standard","hentry","category-enterprise-software","tag-enterprise"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t