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How Generative AI is Turbocharging Intelligent Automation

January 18, 2024 161 0 AI Emerging Tech RPA

How Generative AI is Turbocharging Intelligent Automation

The evolution of Artificial Intelligence (AI) from Garry Kasparov’s 1997 chess match against Deep Blue to the current seamless integration of AI into daily life, has been nothing short of awe-inspiring. The victory of Deep Blue marked a shift, signifying AI as a force challenging human intellect. Zinnov’s thought leadership report, “How Generative AI is Turbocharging Intelligent Automation,” covers myriad aspects of the landscape. Despite initial hesitancy, AI is now accepted as an embedded norm. A revolutionary subset, Generative AI, dynamically learns patterns to create original content, promising to expand machine creativity. In Intelligent Automation (IA), it enhances operational efficiency through technologies like RPA, IDP, and Conversational AI. Generative AI’s emergence brings novel advancements, turbocharging IA by simulating real-world data, automating transcription, and facilitating content creation. The integration of cutting-edge generative models into IA systems unlocks exponential improvements, emphasizing transformative potential and decentralized innovation across industries.

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In 1997, the world witnessed a ground-breaking face-off between Garry Kasparov, the reigning world chess champion, and IBM’s Deep Blue AI. The resounding victory of Deep Blue marked a paradigm shift, signaling that Artificial Intelligence was not just a scientific curiosity but a force capable of challenging human intellect. Fast forward to today, and AI has seamlessly integrated itself into the very fabric of daily life, from digital assistants responding to voice queries to automated factories controlled by predictive analytics software.

The once hesitant embrace of machine cognition has transformed into a nonchalant acceptance of AI as an embedded status quo. However, amidst this gradual assimilation, a revolutionary subset of AI has emerged – Generative AI models. These models, capable of generating new, original content, are poised to radically expand the boundaries of machine creativity, offering exciting possibilities to augment human ingenuity.

Generative AI, unlike traditional AI relying on rules and logic, dynamically learns patterns from vast datasets. It can produce human-like writing, images, audio, code, and more, opening avenues for innovative applications across various domains. The technology has recently taken center stage in the realm of Intelligent Automation (IA), promising to significantly enhance operational efficiency for enterprises.

Intelligent Automation, encompassing technologies like Robotic Process Automation (RPA), Intelligent Document Processing (IDP), and Conversational AI, aims to automate repetitive tasks, liberating human workers. Leading Enterprise Automation Platforms have already incorporated Generative AI to enhance their products, offering synthetic datasets for better bot training and creating human-like conversational experiences.

The emergence of Generative AI brings unprecedented advancements, turbocharging Intelligent Automation in novel ways. Generative models enable accurate simulation of real-world data samples, improving the training of document processing bots. They automate the transcription of call-center conversations, structuring key summaries for action, and interpret customer queries contextually for natural conversations. Moreover, Generative AI facilitates the rapid creation of marketing content and personalized messages, saving significant time and resources.

The democratization of Generative Process Automation is facilitated by Cloud infrastructure leaders such as Microsoft and AWS. Low Code/No Code solutions provided by these platforms allow companies of all sizes to leverage the exponential impact of technologies like RPA and Generative AI. Pre-built connectors integrate seamlessly across hundreds of business applications, and intuitive interfaces simplify the development process for citizen developers. Flexible pricing models enable scalability on demand, allowing teams to experiment and innovate without prohibitive costs.

Generative AI marks a new frontier, heralding an automation renaissance that expands the core pillars of technological transformation beyond mere cost reduction. The integration of cutting-edge generative models into Enterprise Automation systems unlocks exponential improvements across resilience, scale, costs, and productivity. Real-world examples of leading Automation Platforms leveraging Generative AI underscore its transformative potential, while an overview of evolving industry standards and regulations ensures responsible deployment.

The Generative AI supply ecosystem and a glimpse into the future landscape emphasize the profound possibilities of this technology in redefining enterprise efficiency. As Generative AI and IA continue their symbiotic evolution, the outlook on AI-accelerated Intelligent Automation promises to unlock unprecedented value, creativity, and meaning, empowering teams across diverse functions to drive enhanced productivity. The democratized access to Generative AI accelerates decentralized innovation, ensuring that the potential of this transformative technology is realized in every corner of the technological landscape.

Access the full report on "How Generative AI is Turbocharging Intelligent Automation" here.


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Founded in 2002, Zinnov is a leading global management consulting and strategy advisory firm, with a presence in 10 global locations. Over the last 22 years, Zinnov has partnered with Global Enterprises and Fortune 2000 companies across their value creation journeys to develop actionable insights – across revenue, talent, innovation, scale, and optimization. Zinnov enables companies to develop and optimize a global engineering footprint through center setups, technology and functional Centers of Excellence (COEs), portfolio optimization, partnerships, and real-time data/ insights – through its unique GCC Accelerator Platform (GAP) offering. This multi-lever approach helps Zinnov’s clients achieve higher R&D efficiencies, innovation, and productivity via an immersive and highly networked model. Zinnov’s expertise also includes advising global PE firms in asset shortlisting, target evaluation, due diligence, and value creation for their portfolio companies through a globalization lens.



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