CR080: AI-driven hyper-automation with Nicole Onuta, AI business transformation expert
Oct 24, 2024
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In this discussion, Nicole Onuta, an AI business transformation expert with deep experience in financial institutions, shares insights on AI-driven hyper-automation. She dives into how generative AI can revolutionize the software development lifecycle, enhancing productivity and innovation. The conversation touches on balancing frictionless customer experiences with mindful automation. Nicole also shares anecdotes about the journey of establishing AI governance, the challenges faced, and how organizations can adapt to the rapid changes brought by advanced AI technologies.
AI-driven hyper-automation enhances software development productivity significantly, with improvements ranging from 7% to 80% based on task complexity.
The importance of ethical AI deployment and governance becomes increasingly recognized as companies integrate robust AI solutions into their operations.
Deep dives
The Pursuit of Happiness and AI
The podcast discusses the fundamental quest for happiness and its connection to our interactions with technology, particularly artificial intelligence (AI). The hosts argue that happiness is essential to a fulfilling life, and exploring various emotions, including dark states, is necessary for achieving optimal states in both personal and professional environments. They draw parallels from game theory, indicating that understanding different emotional states enhances our ability to engage with AI technology effectively. This leads to the idea that employing AI in our lives could potentially create pathways toward greater satisfaction and efficiency.
Nicole Anuta's Journey in AI
Nicole Anuta shares her extensive journey in AI, beginning with her passion for mathematics in secondary school, which laid the groundwork for her successful career in artificial intelligence. She highlights her experience in the finance sector and the establishment of a global AI center of excellence aimed at utilizing AI beyond just risk management. The discussion emphasizes both the challenges and successes in deploying five AI solutions, yielding substantial financial returns for her organization. Anuta's transition towards focusing on AI governance and risk management indicates a growing recognition of the importance of ethical and responsible AI deployment.
Productivity Gains Through Generative AI
The hosts explore the significant productivity improvements being realized in software development through the application of generative AI. Companies that have implemented pilot programs report enhancement in productivity ranging from 7% to as high as 80% depending on the specific tasks and applications involved. Anuta shares a notable example of generative AI in translating legacy code, illustrating how automation achieves efficiency that was previously deemed impossible due to the complexity of such processes. This shift symbolizes a transformative moment in software engineering, allowing for quicker iterations and a proactive approach to legacy systems.
The Future of Scaled AI in Software Development
As organizations consider expanding the role of AI in software development, a structured rollout plan allows teams to maximize productivity gains effectively. Key considerations for scaling include understanding departmental tasks, integrating AI technologies into existing workflows, and prioritizing proper training to ensure accuracy and minimize errors. Fostering community support among team members serves as an essential element in successfully implementing AI and enhancing developer satisfaction. Ultimately, this relationship aims to create a more streamlined and fulfilling work environment, encouraging developers to engage more deeply with their creative tasks while AI manages repetitive operations.
As AI scales and layered agents become more integrated, businesses face questions about just how automated they can become and what this means for efficiency, cost, and innovation.
This week, Dave, Esmee and Rob talk to Nicole Onuta, AI business transformation expert about the growing impact of generative AI on the software development lifecycle (SDLC), diving into both the opportunities and challenges that arise, how AI scales in an organisation and how hyper-automation is fast becoming a practical reality.
TLDR 04:40 Confused about whether frictionless CX can be too frictionless 07:54 Cloud conversation with Nicole Onuta 34:57 The Eliza bot in 1966 43:08 AI execution!
Resources Turbocharging Software with Gen AI: https://www.capgemini.com/insights/research-library/gen-ai-in-software/
Hosts Dave Chapman: https://www.linkedin.com/in/chapmandr/ Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/
Production Marcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/ Dave Chapman: https://www.linkedin.com/in/chapmandr/
Sound Ben Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/ Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/
'Cloud Realities' is an original podcast from Capgemini
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