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V Squared AI

V Squared AI

战略管理服务

Reno，Nevada 888 位关注者

Helping clients leverage data and AI for significant revenue growth and higher productivity.

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关于我们

V Squared partners with ambitious leaders to turn data and AI into top and bottom-line impacts. Our guiding principle: The purpose of technology is to support the business and its strategic goals. Data and AI must create new opportunities that align with the business as it is today while enabling a transformation journey. Founded in 2012, V Squared has generated $3.7 billion in business impacts for our clients. We help them deliver data and AI products with $100M+ ARR, accelerate productivity gains, and improve decision outcomes. Data, analytics, machine learning, and AI have been our focus from Day 1, making V Squared one of the industry’s most experienced consulting practices. We can support clients from an initial capabilities assessment and opportunity discovery workshop all the way to data and AI product go-to-market. V Squared accepts a limited number of clients per year, and our next onboarding opportunity is coming up in August.

所属行业
战略管理服务
规模
11-50 人
总部
Reno，Nevada
类型
私人持股
创立
2012
领域
Data Strategy、AI Strategy、Data Product Strategy、Data Organization Development、AI Product Strategy和CxO Training

地点

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动态

  • V Squared AI转发了

    查看Vin Vashishta的档案
    Vin Vashishta Vin Vashishta是领英影响力人物

    NVIDIA, Salesforce, & SAP AI Thought Leader | Wiley Best Selling Author | Gartner Ambassador | CEO V Squared – Over $3.7B In Value Delivered.

    Marc Benioff is all in on agentic AI and engineering the Salesforce platform around it. Steve Jobs taught him that the only way to get big things done is to push everything else off the table so you can focus 100% on the future. Agentic AI is different from what we have now with GenAI and copilots. Agentic systems: ? Focus on doing work and delivering outcomes vs. generating content and delivering answers. ? Support multiple foundational models so the platform extends beyond GenAI and LLMs. ? Integrate agents into existing workflows and platforms to make them easier to adopt and use. People remain at the center, with agents augmenting their capabilities and automating administrative work. ? Leverage existing tools, apps, and data sources, reducing the cost of deployment by reusing existing tools vs. reinventing the platform from scratch. I’ll be in San Francisco next week when Salesforce doubles down on Agentic AI and delivers the Agentforce updates Benioff promised during Dreamforce. Follow me here for all the updates, and you can also register to watch the event virtually using this link: https://bit.ly/4fdm7N7 #ArtificialIntelligence #GenAI #SalesforcePartner

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