Resources
Peltarion has deep in-house expertise with over 30 years of knowledge using AI to solve business problems. We’ve learned a lot about the barriers preventing organisations from using AI. In this resource library, you’ll find white papers, research papers, eBooks and data sheets about making AI operational.
![AI Decision-Makers Report 1/2: Are enterprises ready to go deep with AI?]()
Report /
AI Decision-Makers Report 1/2: Are enterprises ready to go deep with AI?
The first part of our report reveals the current trends and challenges experienced when implementing deep learning within an organization
![AI Decision-Makers Report 2/2: The human factor behind deep learning]()
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AI Decision-Makers Report 2/2: The human factor behind deep learning
The second part of our report uncovers the need for developing AI capabilities within organization by up-skilling existing teams by working with the technology first hand
![Deep Learning: Opportunities and Best Practice]()
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Deep Learning: Opportunities and Best Practice
With insights from Amazon, JP Morgan, Google and more this report is comprehensive primer and best practice guide for adopting and operationalizing AI
![Deep learning challenges: lessons from the field]()
Whitepaper /
Deep learning challenges: lessons from the field
Understand the key challenges between conventional software engineering projects and AI ones
![Software engineering challenges of deep learning]()
Research paper /
Software engineering challenges of deep learning
Our research team share their 12 key challenges – from development, to production and organisational challenges
![The AI productivity challenge]()
Whitepaper /
The AI productivity challenge
An introductory paper on how to drive productivity in the areas of machine learning and deep learning
