Although the term Generative AI (Gen AI) has been around since the 1960s, it has only really entered mainstream consciousness in the past year. From business use to our personal lives, there are countless benefits that Gen AI can provide.
IDC predicts that by 2026, 85% of the connected population in EMEA will actively benefit from Gen AI in their daily lives, experiencing improved quality of life in areas such as physical health and mental well-being. But if companies want to get the necessary impact from their investments and ensure a positive experience for everyone, Gen AI must be applied correctly.
There is no shortage of examples and applications where Gen AI can really make a difference. Organizations can automate and accelerate process discovery and development by allowing users to write prompts to create processes, automations, and other components. Gen AI can enable better decision making by making it easier to access and analyze data. Automation complexity can be reduced by seamlessly integrating more complex and nuanced use cases into existing processes, with minimal disruption or impact on quality.
But behind success must always be robust data management, security and accountability. Any company using Gen AI for any process must ensure that trust and transparency come first and are ‘by design’, not just an afterthought. This is where the merger of intelligent automation (IA) and Gen AI creates a winning combination.
VP of Cloud Alliances & Channel, SS&C at Blue Prism.
Responsible automation
Generation AI must be responsible and controllable. It needs to be instructed and taught what information it can retrieve. Its combination with IA acts as the linchpin of effective data management, improving the accuracy, security and accountability of data throughout its lifecycle.
Simply put, combining Gen AI with IA gives companies greater control over data and automated workflows, managing how it is processed, secured (against unauthorized changes) and stored. It is this ‘process wrapper’ concept that will enable organizations to use Gen AI effectively and responsibly.
Gen AI adoption and transparency – now – is imperative as innovation continues to grow rapidly. The past twelve months have seen significant innovation in language learning models (LLMs) and Gen AI to simplify automations that address complex and difficult-to-automate processes. According to IDC, this includes large enterprises that rely on AI-infused processes to improve asset efficiency, streamline supply chains and improve customer satisfaction.
Five years ago, AI tools and models were quite limited and had limited applications, but now that there are ready-made learning models and applications that require few skills, the only entry barrier limiting Gen AI adoption is the quality of data.
With 80% of technology leaders planning to adopt Gen AI within three years (Gartner), organizations across all industries are eager to adopt these exciting new technologies in their business processes. Maintaining data security and compliance is imperative.
Future-proof Gen AI investments
Whether you’re a manufacturing giant or a global financial institution, summarizing large amounts of unstructured data is a challenge for both the C-suite and revenue teams. Forrester’s AI Pulse Survey shows how, as Gen AI increases pressure on systems, measurements are becoming unpredictable, complicating the delivery of insights.
Managing security, privacy, and consent adds another layer of complexity. The random nature of machine learning requires live datasets for measurement and monitoring, lacking a standard that links Gen AI models to source data, increasing uncertainty and risk – the biggest barrier to Gen AI adoption by B2B enterprises.
Before implementing any new automation technology, organizations should identify use cases unique to their business and conduct risk management assessments to prevent potential non-compliance, data breaches, and other serious issues.
With the right guardrails through a process wrapper like IA to control data input, output, and training models, Gen AI can transform the way a company automates its processes. By combining Gen AI with IA as a process wrapper, organizations can guarantee the security of their data management and transparency.
With a wave of offers from suppliers, customers must cut through the hype and realize real business value. Cloud, data, AI and automation software will continue to push boundaries and overlap to create unique applications. The combination of IA and Gen AI represents a powerful synergy, facilitating effective data management and improving the accuracy, security and accountability of data throughout its lifecycle. Leaders can now be confident that they can harness the full potential of Gen AI to drive their business forward.
As organizations continue to invest in these technologies and a digital workforce, they are not only future-proofing their data management, but also ensuring they can make well-informed decisions while maintaining trust and transparency in their operations by using IA as a process wrapper .
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