The Datamine Guide to AI

Artificial intelligence is evolving fast, and it’s only natural that many business leaders feel like they’re already behind.  Here’s what you need to know to get value and ROI from AI. 
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AI may have become mainstream in recent years, but we’ve been utilising AI for decades.  So, we’ve compiled our expertise to demystify the latest developments in AI and empower you to harness it to drive business growth.

In this guide, we look at its potential applications, roadblocks to AI adoption, and outline what an AI roadmap and implementation could look like in your business.

Interested?  Please enter your details below to download a copy of the Datamine Guide to AI.

HERE'S WHAT'S INSIDE

What can AI do for your business?

First, we look at the difference between Generative AI and predictive AI, and why we champion predictive AI here at Datamine.

Discover a real-life case study of how AI was used to make sales predictions for an FMCG retailer, who then targeted high-value customers with personalised messaging to drive conversions. 

 

Roadblocks and reluctance to AI

Just like any new technology, there are risks to implementing AI without a proper roadmap, resourcing, security, and clean data.  We breakdown the key concerns around AI and how your organisation can mitigate these risks. 

 

Five recommendations before you begin your AI journey

Whether you’ve already forged ahead with AI in your organisation, or you’re still cautious and exploring opportunities, we highlight five important guidelines for implementing any AI into your business.

 

Steps to begin your AI journey

If you’re ready to press the ‘go’ button on AI, we breakdown the five key steps to getting started, to make it as streamlined and risk-free as possible.  You’ll feel more confident and empowered to make the best decision for your business.

 

Further reading

AI and Data Privacy

Importance of Investing in Data, Analytics & AI in Business

Automation and AI are different, but complementary

CLIENTS we have provIded AI and predictive modelling for