Contact

New to DataIQ?

Register

Take our FREE data literacy indicator now

Unlock the power of data - take our FREE data literacy indicator now

Seven steps to implementing successful artificial intelligence projects

Market Insight17 May 2019

In Partnership with Outra

Artificial Intelligence (AI) and Machine Learning (ML) are becoming increasingly mainstream. When applied in an organisational context effectively, AI/ML can significantly increase customer value and enhance business outcomes.

190517 Seven steps to implementing successful AI Projects.png

Utilising data and AI at a business level to drive the overall value of the customer is very different from using it at the tactical level to optimise a channel or clicks and warrants considerable upfront planning.

In this paper, we explore the steps that organisations need to take to implement AI into their organisation to ensure the greatest chance of success including tips on:

Diagnosing if AI is right for the business objective
Understanding how AI projects differ
Leading with C-level support
Putting the right team in place
Using the right data
Having the right IT Infrastructure
Doing the right thing - Explainability and data ethics

In Partnership with Outra

Next read

"No ivory towers" found on OS map for data knowledge sharing

According to Caroline Bellamy, there is a lot to be gained from having a data centre of excellence within an organisation. But she has a problem with the name and behaviour it encourages. Bellamy is the first chief data officer at ...

You may be interested in

A case of the AI biter bit?

DataIQ’s Chief Knowledge Officer and Evangelist, David Reed, examines the hype cycle around generative AI and the actual speed of transformation being seen.

DataIQ 100 Success Series: EDF – National sustainability and preparing for the unexpected

EDF’s head of data and CRM, and member of the DataIQ 100 Martin Aylward, spoke to DataIQ editor Alex Roberts, about what data leaders need to succeed and how investment in data teams can provide extreme unseen wins.

AI just rocked Las Vegas. But where was data?

DataIQ chief knowledge officer and evangelist, David Reed, examines the gamble surrounding AI and why businesses need to play the game.

DataIQ 100 Success Series: Data Driven Danske – Leveraging data in a new way for legacy business

Legacy businesses have a unique set of challenges when adopting a new data-driven future. Data Driven Danske is a transformational journey taking Danske Bank employees to the next level of leveraging data and analytics to drive value for customers, shareholders, colleagues and broader stakeholders.