Join us for an engaging discussion on generative AI, data democratization, and business transformation with Simon Treacy, Head of UK Data & AI Solution Architecture at AWS, Alex Galbraith, CTO of SoftwareOne, and Dimitrij Zub, Director Global Application Services, Data & AI at SoftwareOne. Together, they explore how organizations can leverage AI and data to solve real-world challenges, build trust in technology, and unlock innovation.
Chapters:
00:00 – Welcome and Introductions
03:54 – Global Trends in AI and Data Projects
08:40 – Generative AI vs. Traditional Machine Learning
15:30 – Regional Use Cases: From Public Safety to Luxury Innovation
19:40 – Building Trust in AI Through Small Wins
25:40 – Why Vision is Critical for AI Adoption
31:20 – Democratizing Data with Shared Responsibility
38:40 – Overcoming Pitfalls in AI Projects
45:20 – Creating a Failure Culture to Foster Innovation
52:40 – Human-in-the-Loop AI for Better Outcomes
58:20 – Predictions for the Future of AI and Data
This conversation offers actionable insights into how organizations can navigate the complexities of AI adoption while ensuring measurable impact. From empowering employees to addressing inefficiencies, Simon, Alex, and Dimitrij highlight practical steps for leveraging data and AI to achieve transformative results.
Resources:
• Integrate advanced artificial intelligence into your workplace, boosting efficiency and creativity: https://www.softwareone.com/en-us/digital-workplace-services/workplace-ai
• SoftwareOne’s global research report ‘Driving business outcomes through cost optimised innovation’ shows how companies are surging ahead in innovation by creating a self-sustaining cycle of savings and investment: https://www.softwareone.com/en-us/now/cost-optimised-innovation
• AWS Data Strategy Team: https://go.aws/3SgkoOX
Explore More:
AWS for Data YouTube Series – https://www.youtube.com/playlist?list=PLhr1KZpdzukd23aGzGWMa03afLZr3aJS7
AWS for Data is where we invite experts to dive into the challenges of and solutions to unlocking insights from data at scale. Leveraging real life experience of what it takes to manage data effectively on the ground, we discuss topics such as data strategy, building a data culture, creating business value with GenAI, and maximizing the ROI on your data assets.
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