The MLOps platform to simplify your AI/ML model management & operations at scale.

Palo Alto, CA
Joined January 2019
Verta insights study reveals companies continue to push investments in AI Technology and Talent despite economic headwinds: sco.lt/8grk5A | By: @VertaAI
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Identify the four roadblocks to your MLOps success and find out how having a single solution like a model catalog will help you overcome them. hubs.ly/Q01T8_V-0 #ML #AI #governance #modelcatalog #MLOps
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Curious about AI risks & leadership? Watch this interview with Manasi Vartak (@DataCereal), CEO, @VertaAI as she shares her expertise on navigating the complexities of AI, ensuring data privacy & building trustworthy AI systems. bit.ly/45G4W33 #ResponsibleAI #AIRisks
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Verta retweeted
We've talked about the what's and the why's of having a model catalog, but if you're still on the fence, here are the top three benefits of implementing an #ML model catalog written by our Product Manager, Andrea Butkovic. 💡 hubs.li/Q01PyBVS0 #modelcatalog #MLOps #models
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MLOps platform @VertaAI announced the addition of its free-tier Model Catalog, aimed to make it easy for data scientists to organize, manage & monitor all of their #ML assets. Learn more about Verta’s journey toward responsible #AI below.
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Congrats @VertaAI team! With the increasing number of AI applications coming to market and the variety of AI regulations on the horizon, there is a clear need for rigorous yet easy-to-use ways to manage AI/ML models across their lifecycle. The Verta Model Catalog serves as the single source of truth for ML models, pipelines, and ML projects across an organization including information outside of mere “model weights or pkl files” including product documentation, governance practices, and business metrics.
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Verta retweeted
Verta Insights is hosting the next webcast on key findings from its research study on #AI Regulations & how leaders are preparing for compliance. hubs.li/Q01Lnzwr0 #AIregulations #responsibleAI #compliance
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I'm excited to invite you all for the next @VertaAI Insights event on #AI regulations and how leaders are preparing for compliance, the current state of AI regulations, and more. hubs.li/Q01LL24t0 #AIregulations #responsibleAI #compliance
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In recent months there’s been an exponential increase in new #GenerativeAI tools, but what does this technology actually mean for businesses? @DataCereal, @VertaAI CEO and founder dives into the history, benefits, risks and impact associated with the tech in @Business_AI:
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Hoping to see folks at the upcoming @Gartner_inc D&A Summit next week! I'll be hosting a theater session on the need for Operational Excellence across the AI/ML model lifecycle. hubs.li/Q01GDr5X0 #GartnerDA #AI #ML #MLOps
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Data scientist, data engineer, machine learning engineer and ML platform engineer continue to be roles in demand, despite headwinds in the market, according to the latest Verta Insights research.
Verta Insights Investment Priorities research study on AI/ML talent: We found that ML engineering or ML platform teams are one of the skill sets that are highest in demand, and that even the smallest organizations are trying to hire at least one or two MLOps engineers.
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As organizations expand their use of #AI & #ML, @vertaAI CEO & founder Manasi Vartak (@DataCereal) shares insights on how to accelerate #MachineLearning pipelines with an ML platform team. Learn more about the role of ML platform teams in her recent @ForbesTechCncl article below.
Our Founder and CEO, @DataCereal, shared how to build an ML platform team and where to get started with the recent @ForbesTechCncl post. Read now: hubs.li/Q01C8YZ80 #AI #MLplatformteam #MLplatform #MLplatformengineer
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Manasi Vartak (@DataCereal), @vertaAI CEO and founder, recently spoke with her alma mater @MIT about how Verta helps companies deploy AI models more responsibly by monitoring & managing #machinelearning models safely & at scale. Read the article below to learn more about Verta.
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Accelerating Your Machine Learning Pipeline With An ML Platform Team hubs.li/Q01C9ggW0 Written by Manasi Vartak of @VertaAI
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Companies are continuing to invest in AI and machine learning/ML, despite economic headwinds.
Verta Insights recently held a virtual event on key findings from its 2023 Investment Priorities research study—in the next few weeks, we'll share insights from our panelists. To get started, our CEO & Founder, @DataCereal, shared her thoughts on spending trends.
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I'm proud to share that @VertaAI is named in @Gartner_inc's latest Market Guide for AI, Trust, Risk, and Security Management (AI TRiSM). Verta is cited in the report for our capabilities around #ModelOps, which is one of the four pillars of #AI TRiSM. hubs.li/Q01yxdpn0
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Achieving Next-Level Value From AI By Focusing On The Operational Side Of Machine Learning hubs.li/Q01ylRLK0 Written by Manasi Vartak of @VertaAI
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In its 2022 State of #MLOps study, @VertaAI revealed that companies invest into these top 5 efforts to improve the #MachineLearning lifecycle: —#MLmonitoring —Cloud migration/deployment of ML capabilities —#DataCatalogue —#MLobservability —Feature stores datanami.com/this-just-in/ve…
The fact that people are checking those boxes for #MLmonitoring means they’re tracking the models before they’re being built, & as the community agrees to common terminology, we’ll probably see a shift. hubs.li/Q01nHR8C0 #vertainsights #stateofmlops #MLOps
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