DATACON MIDDLE EAST: LIVE
8 DECEMBER 2020 | DESKTOP, MOBILE & TABLET
Want to know what data analytics leaders from around the world think about everything from data literacy to leadership? And how they take their coffee?
We've created a new series called Data Conversations Over Coffee. These conversations don't start out with a specific topic in mind but time and again data quality, data literacy and the future of data analytics have been a key themes.
Clearly in today's business environment having good quality data is critical for success...and survival.
The central theme of this episode is ethics in AI. It's a hot topic at the moment and there have been some bad examples which haven't done the technology any favours.
Nanda talks about the importance of putting in the ethics and governance around AI into the mix early on and to not let the technology get too far advanced before this is done.
Nanda's 4 tips are:
1. Use AI for a deliberate purpose not because everyone else is doing it
2. Have diverse teams working on developing the models
3. Use technology that can help detect bias
4. Deploy AI in line with the company ethos and philosophy
Get more great data analytics content by subscribing to Business of Data - https://www.business-of-data.com/
#data #analytics #businesstransformation...
In this episode I talk to Paul Morley to get his thoughts on how to lead data-driven business transformation.
Paul's theory is that there is no clear end goal - especially in 5 year projects - so leading the team, and building the right team, is an exercise in celebrating incremental success.
Paul's top 3 tips for leading change:
1. Get the whole team involved in the discussion
2. Leaders need to be visible doing the right things
3. Constantly feed information and remind the business of the North Star
Get more great data analytics content by subscribing to Business of Data - https://www.business-of-data.com/
Max spoke at Chief Data & Analytics Officer Africa in July 2019 and we catch up a year later so Max can give me an update on how data analytics is evolving in the pinnacle of motorsports entertainment.
In this episode we catch up with Anwar Mirza who leads data governance and strategy at FedEx Express.
Anwar takes us through his philosophy for developing and implementing an effective data strategy within organizations. And, importantly, how to bring the rest of the business into the process through using language and concepts that have context in their business environment.
Two critical elements that Anwar drives is the importance of data governance being at the core of the data strategy. And how the data strategy must enable the overall corporate strategy. They should never exist independently of each other.
We distill the conversation into Anwar's Top 3 Tips for Building a Data Strategy [21mins]:
1. Be able to scale up data management capabilities by making them consistent and repeatable
2. Automate data management processes to achieve scale
3. Define and articulate the processes so they are auditable, repeatable and shareable
In episode 12 Ryan den Rooijen talks about how to move data products from POC to production while ensuring adoption of the models. Ryan works for Chalhoub Group which operates in the luxury brands industry where customer experience, insights and relationships are critical.
Youmna Borghol, Dubai's first Chief Data Officer discusses the evolving role of the CDO and takes a deep dive into the use of data analytics within the media sector. And of course, Youmna tells me about how she's become interested in specialty coffee.
#datascience #dataculture...
I catch up with Guy Taylor who has recently moved from Nedbank to Booking.com - two vastly different industries. I ask Guy to compare data analytics between them before we delve into what's need to create a data driven culture.
#ai #datascience #ethics...
Customer data provides companies a wealth of insight and certain industries - such as telcos - have access to very detailed and private data. In this episode I chat to Mishumo who is a Senior Manager in MTN's data science centre. He gives me his thoughts on the ethical use of customer data in AI models.