I am a Responsible AI advocate, AI strategy & innovation advisor/ partner.
Let me help you to boost your AI ROI by finding the right AI opportunities & use cases, aligning AI strategy, designing custom AI Solutions & accelerating innovation using best practices and research-based guidance.
For over 23 years, I have transformed millions of customer and user experiences and efficiently designed products and services in the public & private sectors by demystifying business complexities, uncovering problem space, identifying the right opportunities, challenging the status quo to prioritise opportunities, creating strategy and tailoring solutions to boost ROI.
I am specialised in bridging the gap between business, process, data, technology, and people - combining research & design scientific knowledge with abduction & deduction reasoning for identifying AI opportunities and solutions; complemented by software & systems engineering methodology for creating a business case and use case; and supported by deep strategic expertise to align AI with business strategy for seamless digital transformation.
Key highlights:
√ AI use case guidance and template for predictive analytics, conversational AI, NLP, process automation and medical diagnosis.
√ Speaker at the AI Summit & international conferences and a guest lecturer/ executive AI training for MBAs, e.g., Imperial College and Aramco.
√ Published scientific papers and research on user-centred design, human-computer interaction and cognitive systems engineering.
No matter where you are in your AI journey, I provide tailored AI consultancy/ partner services.
Let me help you to boost your AI ROI. I will guide you through each step of your AI journey hands-on, from initiation to the delivery of AI, to help you realise the full potential of your strategic vision. More importantly, I ensure that the AI & ML is built with empathy, fairness & transparency & meet regulation & legal compliance standards for designing Responsible and Explainable AI.
No matter were you are in your AI journey, I work closely with your team to provide support as a consultant, AI partner or trusted advisor with 360 degrees, holistic perspective by considering the entire ecosystem for designing responsible AI and explainable AI using best practices, research-based guidance and training.
Demystify your business complexities and customer experiences to provide you with AI opportunities, priorities, goals, scope, requirements, AI capability needs & AI Strategy.
♦ Ethnographic research
♦ Business process analysis
♦ Data & systems analysis
♦ Long-term strategic vision
♦ AI business case
♦ AI Strategy
Prioritise AI opportunities to design AI solutions, use cases and prototype to test AI feasibility along with an in-depth recommendation for AI, plan, data requirements & roadmap.
♦ Human-centred AI research
♦ Design sprints
♦ UX AI design
♦ AI use cases & scenario
♦ AI plan & roadmap
♦ Rapid prototyping
I ensure you incorporate Responsible AI principles for ethics, regulation, trust, security and bias. I work with your team to review & test for explainable AI development.
♦ Human-centred AI research
♦ Mental models
♦ Cognitive task analysis
♦ UX usability & A/B testing
♦ Bias evaluation
♦ Iterative development
I partner with organisations from the start to finish to provide expert guidance, training and research & help you build the required AI capability to succeed in AI/ ML transformation.
♦ AI training for managers
♦ Find and evaluate vendors
♦ Organisation capability needs
♦ Recruit and build AI team
♦ Guidance and mentoring
♦ AI research & use cases
Help you to understand customer behaviour, data, and outcomes to develop high-value use case
Augment human intelligence by understanding behaviour, mental models & decision making
Understand business process, stakeholder experience to develop value proposition for automation
Assess the requirement for NLP, business needs and goals to provide customer centric initiatives
Augment human intelligence by understanding behaviour of human or an organisation & decision making
Understand business process, stakeholder experience to develop value proposition for automation
"Anandhi has helped us to identify the right problem and strategy to cut down unnecessary effort."
Find out templates and guidance for Personalised medicine business and use case development.
Discover the guidance, challenges, risks and tips for developing AI Clinical Decision Support business.
Use the template and guidance to developing use case using predictive analytics in healthcare.
Learn from real-world examples and challenges as to how you can create high-val use case for AI image analysis.
Get frameworks & approach to see how to develop use case for diagnosing infectious diseases.
See how to develop use case for AI-powered chatbots in healthcare.
Although some of the severe consequences of cardiovascular disease (CVD) can be minimized through vital signs monitoring and treatment adherence tools, the magnitude of CVD continues to accelerate globally...
Patients make various healthcare decisions on a daily basis. Such day-to-day decision making can have significant consequences on their own health, treatment...
The self-care management of chronic disease patients is complicated by various everyday decisions that range from routine ill-structured problems, e.g., “What to eat?” to uncertain symptoms-related decisions, e.g., “Why do I feel tired?” Such decisions can have....
This study examined patient and caregiver's perception regarding pervasive healthcare…
Cognitive Work Analysis (CWA) has proved successful in supporting Human Factors analysis,
providing a system‐level view of operations …
The purpose of this paper is to highlight the complexities involved in higher education provision
and how systems thinking and socio-technical systems (STS) thinking approach can be …