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S5 | Ep 48 | Building AI for AI: How Trust Models and Data Marketplaces Are Changing the Game with Susan Laine, Chief Technology Officer (Data) at Quest Software
Manage episode 516046496 series 2806428
In Episode 48, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom was joined by Susan Laine, Chief Technology Officer (Data) at Quest Software, where they discuss the concept of building 'AI for AI', which includes;
- The state of data in the AI era and why garbage in equals disaster out
- How ‘AI for AI’ is helping organisations manage data at scale and speed
- Where AI is being used to optimise AI and why that matters
- Why most AI POCs still don’t make it out of production and what to do about it
- Balancing the race for speed with the realities of trust, governance, and risk
- Building a modern data trust model looks like and why it’s critical for AI success
- The key metrics that matter most when measuring trust in data
- The rise of the data marketplace and what it means for data sharing and adoption
- How data management convergence is changing the game for modelling and intelligence
- How user feedback loops are helping to mature data products over time
- Why context and semantic layers are essential for AI you can trust
- How GenAI is reshaping how we build and scale data products
- The structural and cultural shifts AI is triggering across data teams
- The changing roles and skillsets needed to succeed in AI-led data teams
- Why building your own capability is slowing you down and what to do instead
- Three smart steps to build trusted, scalable AI and data capabilities today
Thanks to our sponsor, Data Literacy Academy.
Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.
If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.
At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.
From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.
We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.
Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.
200 에피소드
Manage episode 516046496 series 2806428
In Episode 48, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom was joined by Susan Laine, Chief Technology Officer (Data) at Quest Software, where they discuss the concept of building 'AI for AI', which includes;
- The state of data in the AI era and why garbage in equals disaster out
- How ‘AI for AI’ is helping organisations manage data at scale and speed
- Where AI is being used to optimise AI and why that matters
- Why most AI POCs still don’t make it out of production and what to do about it
- Balancing the race for speed with the realities of trust, governance, and risk
- Building a modern data trust model looks like and why it’s critical for AI success
- The key metrics that matter most when measuring trust in data
- The rise of the data marketplace and what it means for data sharing and adoption
- How data management convergence is changing the game for modelling and intelligence
- How user feedback loops are helping to mature data products over time
- Why context and semantic layers are essential for AI you can trust
- How GenAI is reshaping how we build and scale data products
- The structural and cultural shifts AI is triggering across data teams
- The changing roles and skillsets needed to succeed in AI-led data teams
- Why building your own capability is slowing you down and what to do instead
- Three smart steps to build trusted, scalable AI and data capabilities today
Thanks to our sponsor, Data Literacy Academy.
Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.
If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.
At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.
From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.
We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.
Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.
200 에피소드
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