Ema - Universal AI Employee
What is Ema - Universal AI Employee?
Ema automates most mundane tasks so human employees can focus on more valuable work. She can take on any role - from customer service, data scientist, to more specialized roles such as a ‘pharmacist’s assistant’. She is simple to use, trusted and accurate.
How to use Ema - Universal AI Employee?
Ema conversationally activates new AI employees (Personas) to execute any complex workflow in the enterprise. She is pre-integrated with hundreds of apps and easy to configure and deploy.
Ema - Universal AI Employee's Core Features
Automates mundane tasks
Boosts productivity
Works across multiple roles
Trusted and accurate
Ema - Universal AI Employee's Use Cases
Customer support
Data analysis
Employee assistant
Pharmacist assistant
Proposal manager assistant
Compliance analyst
FAQ from Ema - Universal AI Employee
What is Ema?
Ema - Universal AI Employee Support Email & Customer service contact & Refund contact etc.
Here is the Ema - Universal AI Employee support email for customer service: ask@ema.co .
Ema - Universal AI Employee Company
Ema - Universal AI Employee Company name: Ema .
Ema - Universal AI Employee Company address: 147 Castro St, Suite 2 Mountain View, CA 94041.
More about Ema - Universal AI Employee, Please visit the about us page(https://www.ema.co/company).
Ema - Universal AI Employee Linkedin
Ema - Universal AI Employee Linkedin Link: https://www.ema.co/
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Leaders of the future with Tāmaki Health
Tāmaki Health, New Zealand’s largest privately owned healthcare group, wanted a customised course for new leaders or ones without previous training. They turned to the EMA to develop a five-day course of workshops that would help their leaders develop a mindset for innovation and adaptability as well as boosting confidence and understanding potential. The bespoke Koru Programme created by the EMA and Tāmaki Health focussed on defining good leadership, understanding different leadership styles, time management, emotional intelligence, having difficult conversations, cultural competency, safety management and HR skills. Submit your interest now Think our tailored training options could be the perfect solution for your team? We’d love to hear from you. Submit your interest now and our dedicated Learning Experience Managers will get in touch to arrange a discovery call. We’ll talk to you about your specific business needs and how we could create a learning schedule that’s unique to you. ema.co.nz/learning/tailored-training/
This is the EMA
Hear what the EMA does for businesses through the voices of its members. www.ema.co.nz
Agentic AI Employees You Can Hire Today w/ Surojit Chatterjee, Founder of Ema, ex-Coinbase / Google
In this episode of the Autopilot podcast, Surojit Chatterjee, founder of Ema AI, former Chief Product Officer at Coinbase and ex-Google VP, discusses the future of AI employees in enterprise. He explores how Ema's AI employees can boost productivity for any role and any company by automating mundane tasks. Surojit draws parallels to past technological shifts, emphasizing the current phase shift as an opportunity for startups to overtake incumbents, and shares his vision for a more productive and imaginative future. 🔥 Apply to join over 400 founders and Execs in the Turpentine Network: https://hmplogxqz0y.typeform.com/to/JCkphVqj -- RECOMMENDED PODCAST: 🎙️ Second Opinion - A new podcast for health-tech insiders from Christina Farr of the Second Opinion newsletter. Join Christina Farr, Luba Greenwood, and Ash Zenooz every week as they challenge industry experts with tough questions about the best bets in health-tech. Apple Podcasts: https://podcasts.apple.com/us/podcast/id1759267211 Spotify: https://open.spotify.com/show/0A8NwQE976s32zdBbZw6bv -- LINKS: https://ema.co/ (Ema) -- X/SOCIAL: @WillSummerlinAI (Will) @surojit (Surojit) -- TIMESTAMPS: (01:13) Intro (01:24) Journey to building Emma (03:31) Will Google be enriched or threatened by AI? (06:01) Ema: The AI Employee (09:38) Horizontal vs Vertical approach in AI (13:40) Use cases and value creation with Emq (16:01) Measuring the productivity boosts (18:02) Pricing model (20:15) AI’s impact on the labor force (25:30) Advice for those early in their career (27:43) Wrap
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