How AI Tools can Finally Solve the Self-Service Analytics Problem?

In this video, I explore the latest claims from companies offering AI-powered analytics tools that promise to make self-service analytics a reality. These tools allow business users to ask questions in natural language and get data-driven answers without needing to rely on analysts.

I discuss whether these AI tools, like those using generative AI (e.g., ChatGPT), can overcome the challenges of self-service analytics. We'll look at how these tools work, their potential to reduce barriers, and the importance of clean data and proper governance.

Are AI tools the solution to the long-standing self-service analytics myth? Watch to find out!

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What I do

I currently run two own analytics consultancies, so if you would like help or advice on data strategy, data engineering or anything related to data analytics or data science please do reach out to me at shorful@bedatasolutions.com

Be Data Solutions - https://www.bedatasolutions.com
Subatomic Analytics - https://www.subatomicanalytics.com/​​​

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What else I do

I am also the Data & Behavioural Science Advisor at a cyber security startup, OutThink, helping them build the worlds first predictive human risk management platform.

OutThink - https://www.outthink.io

I also serve as a the Chief Data Scientist at Tribal Worldwide (London & Singapore).

Tribal Worldwide London - https://www.tribalworldwide.co.uk
Tribal Worldwide Singapore - https://www.ddb.asia/company/tribal-w...

I also serve as a board advisor in all matters related to data to Nelson College London, the National Zakat Foundation (NZF) and Muslim Aid

Nelson College London - https://nelsoncollege.ac.uk/
NZF - https://nzf.org.uk/
Muslim Aid - https://www.muslimaid.org/
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To know more about me, check out my LinkedIn profile:   / ​​​  

This is my Twitter account:   / shorful​​​  

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The views, opinions and position in this video (and other videos on my YouTube channel) are my own and no way reflect the views, opinions or position of any company I have worked for, or worked with, in the past or currently.