Strategy & Advisory
- Home
- »
- Artificial Intelligence
- »
- Strategy & Advisory
What do you get?
Alignment of business strategic imperatives and AI-driven transformation.
What are we going to do for you?
Align the use of AI with your company specific KPIs and financial value drivers.
Challenge
The lack of strategic alignment between AI initiatives and business objectives often lead to inefficiencies and missed opportunities for value creation.
Solution
OmniData's strategy & advisory services simplify the process of AI adoption, helping businesses identify and prioritize high-impact use cases that align with strategic objectives and deliver measurable value. By providing expert guidance and strategic insights, we empower businesses to make informed decisions and realize the full potential of AI.
AI and alignment with Business goals
Clarify the evolution of AI and the role it can play in your company. Identify the catalytic factors that help companies derive value from the use of AI and Machine Learning. Align the use of AI with your company specific KPIs and financial value drivers. Incorporate non-technical factors such as culture impact, senior leadership buy-in and responsible AI.
Use case identification and appraisal
Gain an understanding of matured and implantable use cases across different industries. Use OmniData's Use Case design framework to clearly define the business problem to be solved, the suggested solution and the business impact. Prioritize use cases based on value and implementation effort while unearthing the requirements from technology, business processes and human resources.
Company readiness assessment
Leverage OmniData's years of experience and exposure to different industries and their adoption of AI in practice to assess your company's readiness. OmniData's assessment methodology will provide a detailed comparison that can be used to assess your AI maturity.
AI Governance
AI and Machine Learning models need to be assessed not only on accuracy, but also doing so in an ethical and responsible manner. Learn why it is important to mitigate the influence of bias in models, increase fairness and inclusivity, ensuring transparency, privacy and safety. Governing AI in companies also requires driving modelling frameworks appropriate to the need, and setting up business structures to assess the financial impact of these solutions.