Business Transformation with AI Agents

Solomon Soh is a data scientist and AI trainer who combines technical AI expertise with a business education. He is a Certified AI Engineer Associate by AI Singapore, and as a Data Science Trainer with IBM Singapore he has coached teams on natural language processing, computer vision and chatbot projects, achieving a 96% learner satisfaction rating. His industry career at Workforce Optimizer, Certis Cisco, Ernst & Young and IQVIA involved applying Python-driven analytics to improve operations, optimise staffing and deliver actionable insights. He holds a double degree in Economics and Psychology from Singapore Management University (Summa Cum Laude), an MBA and a Master's in Financial Engineering.

Business Transformation with AI Agents suits this mix of AI and business perspective. Learners identify business innovation opportunities with agentic AI and AI agents, design digital architectures and AI agent implementation plans, and then manage AI-driven innovation, governance and stakeholder collaboration. Solomon's experience improving operations with analytics helps learners focus on use cases with measurable value, while his MBA grounding supports the planning and stakeholder side of the course. Participants leave able to assess where autonomous and collaborative agents can help their organisation, plan a realistic implementation, and put appropriate governance in place.

Truman Ng is a technology entrepreneur and ACTA-certified trainer whose first encounter with AI came through his final year project at NUS, an AI controller for a DC-DC power converter using fuzzy logic and neural networks. Since graduating in Electrical Engineering in 2002, he has built over 15 years of project experience across database and web design, PLC machinery and enterprise network design, and founded Nexplore (S) Pte Ltd, a provider of cloud, software-defined networking and internet security solutions. A PMP-certified project manager, he has completed more than 100 IT network projects for banks, hotels and factories, and previously worked with a US-based team as a network architect for Hewlett Packard.

In Business Transformation with AI Agents, Truman helps professionals identify where autonomous and collaborative agents can create new products, services, processes and customer experiences. Learners evaluate current AI agent technologies for their strengths, limitations and risks, then design digital architectures and practical implementation plans for agent solutions. The course concludes with managing AI-driven innovation, including governance and stakeholder collaboration. His experience designing enterprise architectures and steering projects from planning to delivery gives the course a strong implementation focus, so participants leave with realistic plans rather than abstract ideas.

Anil Bidari is an ACLP-certified trainer and Enterprise Cloud and DevOps Consultant who helps clients move their virtual data centres to private cloud based on OpenStack and to public cloud platforms including AWS, Azure and Google Cloud. He has consulting and training experience across the DevOps toolchain, including GitHub, Jenkins, SonarQube, Docker and Kubernetes, Cloud Foundry, OpenShift, Ansible and SaltStack. Much of his role involves designing and implementing solutions and then training the people who will use them, which gives him a practical, architecture-first view of technology-led change in organisations.

In Business Transformation with AI Agents, Anil brings this solution design and cloud migration background to the business side of agentic AI. Learners identify business innovation opportunities where autonomous and collaborative agents can analyse information, use digital tools and coordinate multi-step work, then design digital architectures and AI agent implementation plans. The final topic covers managing AI-driven innovation, governance and stakeholder collaboration. Anil's experience of guiding clients through platform transitions helps participants think realistically about architecture, integration and rollout, so they leave able to build a credible, well-governed plan for introducing AI agents into their organisation.