FEATURE: TRANSFORMING THE ENTERPRISE WITH AI
How to scale your enterprise with Generative AI
Top executives from Dataiku, Endava, Infinite Reality, JAGGAER, NTT DATA, Omnix, SandboxAQ, UiPath, Zoho, share their perspectives on how regional enterprises should scale their IT and business operations using Generative AI, the business value that follows, and the various challenges that may arise along this road map.
AI is transforming enterprises by improving efficiency, enhancing decision-making, and unlocking new revenue streams. Agent and multi-agent AI systems can automate processes that were too complex for robotic process automation.
AI-driven code generation and validation are transforming software development. AI can write and review code, ensuring robustness and maintainability. This reduces development time and lowers long-term maintenance costs, increasing the ROI of software investments.
AI enhances how businesses identify, qualify, and engage potential customers. By conducting deep research and tailoring outreach based on customer personas, AI helps optimise marketing efforts. This results in a lower cost of acquisition and an increase in customer lifetime value.
AI is advancing beyond simple chatbot interactions. Intelligent AI-driven customer support systems can anticipate issues before they arise, providing proactive solutions. Personalised AI-driven assistance improves customer satisfaction and loyalty, leading to higher retention rates.
“ Many back-office finance functions, such as billing, reconciliation, and auditing, suffer from inefficiencies due to poor data capture. AI-powered intelligent document processing and data management streamline these processes, improving accuracy and reducing manual effort,” says Gavin Jackson, SVP Data and AI, Endava.
“ Ultimately, the most impactful AI strategies address unique business needs, proving that success comes from a tailored approach rather than a one-size-fits-all solution,” says Tarkan Diraz, Director of Application, Data and AI, NTT DATA MEA.
“ Most of Generative AI today centres around Large Language Models, LLMs, which are used to solve language-based problems. They are fantastic at summarisation, content creation and revision, including coding. Speeding up software development
ONCE AI-DRIVEN OPPORTUNITIES ARE
IDENTIFIED, FOSTERING
A CULTURE OF CROSS-FUNCTIONAL COLLABORATION IS
CRITICAL.
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