
Takeaways
Raoul Bhatia emphasizes the importance of understanding the end-to-end architecture in technology solutions.
Governance is a critical issue in digital transformation programs, often realized too late.
Data integrity is foundational for successful business processes and technology implementations.
AI should support human processes rather than replace them entirely.
Managing client expectations is a significant challenge in the era of AI and automation.
NUAAV focuses on creating customized solutions that address specific client needs.
The shift towards AI in business processes must be balanced with human involvement.
Education and training are essential for adapting to new technologies and processes.
Over-automation can lead to problems; not every process needs to be automated.
Social responsibility in technology includes investing in education and opportunities for underprivileged communities.
Summary
In this episode of the AI Interconnect podcast, host Laurent Cochet speaks with Raoul Bhatia, co-founder and VP of NUAAV, about his journey in cloud solutions and the challenges faced in digital transformation. They discuss the importance of data governance, the role of AI in business processes, and the need for a customer-centric approach in technology solutions. Raoul emphasizes the significance of understanding end-to-end architecture and the necessity of maintaining data integrity. The conversation also touches on the balance between automation and human involvement, as well as the social responsibility of investing in education for underprivileged communities.
Titles
Navigating the Future of AI in Business
The Role of Data Governance in Digital Transformation
Sound bites
"We must keep humans in the loop."
"Data integrity is a big problem."
"We need to educate ourselves on AI."
Chapters
00:00 Introduction to AI Interconnect Podcast
01:15 Raoul Bhatia's Journey in Cloud Solutions
04:25 Common Challenges in Digital Transformation
06:16 Understanding NUAAV's Role in Data Solutions
09:17 The Importance of Governance in Technology
11:00 Managing Expectations in AI and Automation
14:27 Data Integrity and Governance Challenges
18:04 The Shift Towards AI in Business Processes
22:24 Future Plans and Innovations at NUAAV
24:34 Focus Areas and Avoiding Over-Automation
26:40 Investing in Education and Social Responsibility
28:21 Customer-Centric Approach at NUAAV
30:01 Advice for FinTech Companies
31:23 Conclusion and Key Takeaways
Keywords
AI, cloud solutions, digital transformation, data governance, NUAAV, automation, fintech, customer experience, technology trends, education, Rahul Bhatia, NUAAV, enterprise AI, fintech architecture, digital finance architecture, data governance, fraud detection, SAP cloud, enterprise transformation, AI in finance, cloud architecture, finance systems, AI governance, human in the loop AI, enterprise data platforms, SAP finance, AI InterConnect podcast, enterprise technology, financial systems design, large scale AI systems, AI risk management, finance automation, cloud finance architecture, enterprise AI strategy
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#AIinFinance #DataGovernance #FraudDetection #EnterpriseTechnology
#DigitalFinance #AIandAutomation #HumanInTheLoop #AIStrategy
#EnterpriseTransformation #FinanceSystems #CloudArchitecture
Rahul Bhatia, Co-Founder and VP at NUAAV, joins AI InterConnect to explain why most enterprise AI and digital transformation programs fail after go live. Drawing on more than 20 years of experience in finance systems, SAP cloud, and enterprise architecture, Rahul breaks down the real issues behind data governance, fraud detection, and weak target architecture.
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