Although the term Generative AI (Gen AI) has been around since the 1960s, it wasn't until last year that the application really took hold in mainstream consciousness. From business use to our personal lives, there are countless benefits that Generation AI can bring.
In fact, 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 for businesses to get the necessary impact from their investment and ensure a positive experience for everyone, Gen AI must be adopted in the right way.
There is no shortage of examples and applications where Gen AI can really make a difference. Organizations can automate faster and accelerate process discovery and development by allowing users to type prompts to create processes, automations, and other components. Gen AI can facilitate better decision making by making data easier to access and analyze. The complexity of automations 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 there must always be strong data governance, security and accountability. Any company adopting 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 fusion of intelligent automation (AI) and Generation AI creates a winning combination.
Vice President of Channel and Cloud Alliances, SS&C at Blue Prism.
Automate Responsibly
The generation of AI must be responsible and auditable. You need to receive instructions and learn what information you can recover. Combining it with AI serves as the linchpin of effective data governance, improving the accuracy, security and accountability of data throughout its lifecycle.
Simply put, by combining Gen AI with AI, businesses have greater control over data and automated workflows, managing how it is processed, protected (against unauthorized changes), and stored. It is this “process wrapping” concept that will enable organizations to implement Gen AI effectively and responsibly.
Gen AI adoption and transparency (now) is imperative as innovation continues to grow apace. The last 12 months have seen significant innovations in language learning models (LLM) and Gen AI to simplify automations that address complex and difficult-to-automate processes. According to IDC, this includes large companies that rely on AI-based 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, with learning models and applications available that require few skills, the only barrier to entry limiting the adoption of Generation AI is quality. of the data.
With 80% of technology leaders planning to adopt Gen AI within three years (Gartner), organizations across industries are eager to use these exciting new technologies within their business processes. Maintaining data security and compliance is imperative.
Future-proof Gen AI investment
Whether you're a manufacturing powerhouse or a global financial institution, summarizing large amounts of unstructured data is a challenge for both senior management and revenue teams. Forrester's AI Pulse Survey highlights how, as next-generation AI adds pressure to systems, measurement becomes unpredictable, complicating the delivery of insights.
Managing security, privacy and consent adds another layer of complexity. The random nature of machine learning requires live data sets for measurement and monitoring, and lacks a standard linking Gen AI models to source data, increasing uncertainty and risk, the biggest barrier to adoption. Gen AI by B2B companies.
Before implementing any type of new automation technology, organizations should establish use cases unique to their business and conduct risk management assessments to avoid potential breaches, data breaches, and other serious issues.
With the right guardrails implemented through a process container like AI to control data input, output, and training models, Gen AI can transform the way a company automates its processes. By combining Gen AI with AI as a process wrapper, organizations can ensure the security and transparency of their data management.
With a flurry of vendor offerings, customers need to sift through the hype and realize the real business value. Cloud, data, artificial intelligence and automation software will continue to push boundaries and overlap with others to create unique applications. The combination of AI and Gen AI represents a powerful synergy, facilitating effective data governance and improving the accuracy, security and accountability of data throughout its lifecycle. Leaders can now be confident in harnessing the full potential of Gen AI to drive their businesses 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 use of AI as a process wrapper.
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