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Download the Whitepaper: A Practical Roadmap to Starting an AI Project

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Serhii Kholin

CEO at Onix

Mila  Slesar

Mila Slesar

Writer

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AI in Business Operations: Benefits, Use Cases & Challenges
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As the realm of artificial intelligence (AI) and machine learning (ML) continues to expand, businesses are increasingly recognizing the transformative potential these technologies hold. However, navigating the complexities of initiating an AI project can be daunting for decision-makers unfamiliar with the landscape.

 

Our step-by-step guide is tailored to provide clarity and direction, offering a roadmap for organizations embarking on their AI journey. By outlining essential considerations and best practices, we aim to empower businesses to make informed decisions and maximize the chances of successful implementation. Here you can find:

 

  • ML project life cycle
  • the basic steps your company should take before choosing ML
  • how to set up a team for the AI project 
  • 10 steps to a successful AI project
executor photo

Serhii Kholin

CEO at Onix

Effective product management and development. Aligning an organization's technologies to the needs of the business.

Mila  Slesar

Mila Slesar

Writer

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This pricing guide is created to enhance transparency, empower you to make well-informed decisions, and alleviate any confusion associated with pricing. In this guide, you'll find:

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Factors influencing pricing

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Pricing by product

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Pricing by engagement type

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Price list for standard engagements

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Customization options and pricing

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