Leadership In The Era of AI: Cantilevering Growth with Prudent Governance & Risk Avoidance
Today we delve into the fascinating era of Artificial Intelligence with an exclusive peak into the significant role played by leadership in leveraging AI advancements for organizational benefit. Larinda Dobbs, Chief Partner Strategy Officer at SS&C Blue Prism, reveals the organization's innovative approach in helping companies achieve holistic growth - by providing the tools imperative for establishing governance and mitigating risk while scaling GenAI implementations.
The GenAI Hype Cycle
As with any developing technology, GenAI has journeyed through a hype cycle. Much like RPA, where SS&C Blue Prism forayed originally, GenAI is peaking yet again due to its integration within Intelligent Automation and RPA. Note-worthy are the common challenges faced by companies using GenAI - the complexities in data classification and verification, aspects of privacy and security, and the essentiality of control and governance.
Opportunities with GenAI
Despite the hurdles, businesses still pursue GenAI owing to the unique opportunities it brings - transforming customer journey & employee experience, streamlining knowledge management and simplifying software development and delivery. GenAI alleviates processes from human-specific limitations, thereby enhancing accuracy and efficiency.
GenAI & Intelligent Automation: The Perfect Partnership
Intelligent Automation becomes the perfect partner for GenAI owing to its three key contributions:
- Sourcing & Curation: Ensures sourcing the right data and tracking the same for future audits.
- Execution & Automation: Assists in the sharing of analyzed data, eliminating manual tasks and facilitating scalability.
- Orchestration & Governance: Streamlines operations combining business resources with digital capabilities.
Pioneering Use Cases
Through precise understanding of business issues and mapping them against the five common questions asked by customers, SS&C Blue Prism's GenAI has revolutionized several areas:
- Simplification : Enable easy analysis by refining complex processes and summarizing the content.
- Classification: Fine-tune decision-making by infusing more context into the process.
- Generation:Ensure rich outputs using text, image, video, or data, thereby expanding decision-making capabilities.
- Verification: Guarantee the authenticity of the sourced data, spotting anomalies and confirming accuracy.
- Analysis: Make recommendations for the next business steps based on trend appraisal.
These principles have been effectively used in handling varied processes like equity research, unstructured document processing, complaints handling, refund processing, and reporting adverse events. Instead of ignoring the risks associated with GenAI, it is integral that businesses embrace these risks, while thinking big, starting small, and driving for scale and competitiveness.
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Despite the challenges faced by technical difficulties, we hope this represents a useful guide for you to benefit from the valuable insights of Larinda Dobbs.