Slide to see the reality of AI and Data Projects Now
We are here to change this!
In a post-pandemic era, companies and governments globally aim to become smarter with an ultimate goal is to become percipient, astute, shrewd, and quick:
- Use AI to gain better understanding of their customer behavior.
- Use this ability to assess the change in customer experience across differing contexts.
- Be able to judge how do they responsibly unleash the power of data.
- Make decisions and respond quickly or effectively to maximize the company’s or nation’s return on investment in data.
Communication: Is your team able to communicate using data?
Skills: includes the skills, knowledge, attitudes, and social structures required for different teams to use data.
Semantic: Appropriate data standards formats, Metadata for Big data, Data Catalog and taxonomy for data & usabilities
Physical: Infrastructure and equipment needed for data & AI initiatives.
Syntactical: Translation of encoded and decoded data
Judicial: internal organizational laws, regulations, and constraints.
With our vast experience in designing standards for the data management industry, we focus our services on covering assessment, design, strategy, technology selection, and vendor-relationship management only so we are not a data engineering firm. Our consultants will help you in all aspects of data management including:
AI strategy serves three functions. First, it forces you to articulate the value of data inside your organization, so that your company as a whole can understand the importance of your data to creating value. Then, it tells you how to move forward, providing a roadmap for how to build those things of value: it tells you what you need to do and how you can get started—or continue moving forward. Third, it showcase the ways you can build successful AI experiences with a valid business case. The hallmark of a good AI strategy is that it is people-driven, not technology-driven.
Depending on your budget, readiness, and scope. We provide two AI Strategy offerings:
Our workshop will help you to create a quick data strategy (AI Readiness Strategy Checklist) aligned with business objectives.
Our workshop main output is an action plan for an AI Use Case that solves a specific business need
2nd Offering: Enterprise-wide strategy which is usually 4-6 months assessing organizational maturity, building a data architecture, benchmarking, roadmap, and use case development.
CEOs or business executive with a vision for how to use data and CIOs or CDOs with a data vision are our winners after taking this offering.