A perspective on a presentation by Ilan Buganim, Division president, heading global CTO office and IT, Sapiens, at the COVER Innovators Network.
In a world where technological change is a constant, the role of innovators like Ilan Buganim has never been more crucial.
Buganim offers insights into the transformative trends shaping industries, particularly the insurance and financial sectors. His approach emphasises the need to understand both the trajectory of historical innovations and the disruptive technologies defining the present.
The Speed of Change in Technology – Reflecting on the industry’s evolution, Buganim traces significant milestones from the cloud revolution to the advent of generative AI (GenAI). These changes have not only reshaped the technology landscape but have also fundamentally altered consumer expectations. Buganim highlights the rapid adoption of GenAI technologies such as ChatGPT, which reached 100 million users within two months—starkly outpacing previous technological milestones like Instagram and Pinterest.
This speed underscores a critical challenge: the constant threat of obsolescence. Businesses and industries must adapt quickly to avoid being rendered irrelevant. As Buganim notes, some startups vanished almost overnight following OpenAI’s breakthroughs, illustrating the precarious balance between opportunity and risk in innovation.
Key Drivers of Industry Transformation – Three core drivers—cloud, mobile, and data—have profoundly influenced the insurance and financial industries. Cloud computing, for example, began with Salesforce and Amazon Web Services in the early 2000s. Today, cloud platforms are essential for leveraging AI technologies, as the computational requirements are beyond the reach of traditional infrastructures. The integration of mobile technologies has redefined customer experiences, creating a demand for seamless, user-centric interactions.
Data, which emerged as a significant resource in the 1970s, has reached new levels of importance in the era of AI. Advanced analytics and AI models are transforming raw data into actionable insights, enabling personalised customer experiences, improved decision-making, and enhanced operational efficiencies.
The Generative AI Revolution – Buganim asserts that generative AI is far from a fleeting trend or “bubble.” It represents a paradigm shift, capable of creating new content and redefining business processes. This technology’s potential to automate tasks—such as underwriting in insurance—has already demonstrated significant efficiency gains. By training GenAI to automatically generate rules and models from unstructured data, companies can reduce human error, streamline operations, and improve turnaround times.
Collaboration with Industry Giants – Buganim underscores the importance of partnerships in navigating technological revolutions. His organisation’s decade-long relationship with Microsoft is a case in point. Collaborating with a global tech leader ensures access to cutting-edge tools and insights. For example, Microsoft Azure serves as the primary cloud provider for their operations, offering the scalability and robustness required for AI-driven projects.
Through this collaboration, Buganim’s team has developed solutions such as AI-enhanced decision-making tools and self-service data layers. These tools empower business users to query databases in natural language and receive instant insights—democratising access to data and reducing reliance on IT departments.
AI in Action: Practical Use Cases – Buganim provides compelling examples of how AI is reshaping traditional workflows:
- Underwriting Automation: Generative AI is used to analyze and summarize underwriting documents, enabling faster and more accurate decision-making.
- Customer Engagement: AI models enhance sentiment analysis, automate customer queries, and suggest tailored products or services, fostering deeper customer relationships.
- Operational Efficiency: AI tools like ChatGPT integrate with internal systems to summarise contracts, answer complex queries, and identify upsell opportunities in real time.
These innovations not only streamline operations but also open doors for strategic growth, such as cross-selling and upselling opportunities.
The Vision of a “Co-Agent” Ecosystem – Looking ahead, Buganim envisions a future where AI serves as a “co-agent” across various roles in the insurance industry. These co-agents will assist professionals by providing prioritised tasks, contextual information about clients, and recommendations for tailored solutions. For customers, AI-driven interactions will simplify complex processes, such as policy selection or claims management, creating an unparalleled user experience.
This approach is set to revolutionise the insurance industry, making agents more efficient while enhancing customer satisfaction and driving revenue growth. A single agent equipped with such tools could achieve the productivity of several agents today.
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Challenges and Opportunities – Despite the promise of AI, Buganim acknowledges the hurdles that organisations face. Regulatory constraints and a lack of trust in AI-generated decisions are significant barriers. However, these challenges are not insurmountable. Drawing from personal experience, Buganim recounts his efforts to convince regulators in Israel to adopt cloud solutions—a process that took over a year but ultimately succeeded.
Similarly, building trust in AI requires a commitment to transparency and reliability. Buganim stresses that while machine learning models may seem opaque, their decisions are grounded in data. Ensuring data integrity and consistency is vital to overcoming skepticism and unlocking AI’s full potential.
The Broader Implications of AI – Buganim’s closing remarks echo those of Bill Gates, who views generative AI as a transformative force capable of addressing global challenges like climate change and poverty. By fostering creativity, productivity, and innovation, AI has the power to redefine industries and improve lives.
For innovators like Buganim, the focus is not only on navigating current technological revolutions but also on anticipating future trends. The ability to adapt and innovate in this fast-paced environment will determine which organisations thrive and which fall behind.
In conclusion, Ilan Buganim’s insights at COVER’s Innovators Network encapsulate the urgency and excitement of today’s digital revolution. As industries grapple with rapid change, the lessons he shares—embracing collaboration, leveraging AI, and building trust—offer a vision for the future of the insurance industry.