AI Advisory & Strategy
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What do you get?
OmniData's AI advisory & strategy services provide a blueprint for your business's journey into the forefront of AI.
What are we going to do for you?
Demystify the pathways to value realization through the opportunity identification, implementation and adoption of AI solutions.
Challenge:
Within the corporate sphere, the fog of uncertainty and the expectation of ROI shrouds AI adoption, obscuring the path with ambiguity regarding use cases, resource requirements, and strategic prioritization.
Solution:
OmniData offers clear direction and expert guidance to navigate the complexities of AI adoption and value creation. Offering tailored strategies Omnidata empowers organizations to overcome obstacles and achieve success, driving forward into a future of AI-enabled innovation.
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.
AI Use case identification and appraisal:
Gain an understanding of matured and implementable 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 AI 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 for accuracy but also in an ethical and responsible manner. Learn why it's important to mitigate the influence of bias in models, increase fairness and inclusivity, and ensure transparency, privacy, and safety. Governing AI in companies also requires driving modeling frameworks appropriate to the need and setting up business structures to assess the financial impact of these solutions.