Why: AI Stakeholder Analysis
Talent Assessment
We identify the skill sets and expertise available within the organization. It's crucial to know who knows what. Specialized talents in AI, data science, and ethics are crucial for an effective AI system. We ensure you have the right people in place to understand, execute, and oversee the functionality of your AI system.
Stakeholder Buy-in
Getting buy-in from key stakeholders is vital for success. This step is all about communication—explaining the AI system, what it does, and how it aligns with organizational goals. The aim is to ensure that decision-makers understand the value and importance of the AI system so they support it both verbally and financially.
Resource Allocation
We help you allocate necessary resources. This goes beyond just funding; it also includes time, technology, and human resources. In this phase, we determine what tools you'll need, how much time should be allocated, and what additional staff might be necessary for a successful AI system.
Plan of Action
We create a detailed roadmap for continuous AI success. This includes timelines, milestones, and specific tasks assigned to team members. It serves as a guide for future AI assessments and what the expected outcomes should be.
Testimonials: What Our Clients Are Saying
Without their help, we may have gone out of business. We saw a 1,000% increase over the maximum capacity of our legacy systems, over 48,000 orders per day, and an average of 75 million page views and 2.3 million unique users each month in 2017.
Asif is a brilliant computer scientist, a physicist, an original thinker, an erudite scholar, and an artist who can sculpt new algorithms, and paint new solutions, veritably a Leonardo da Vinci of our times, and a passionate educator with deep insight into AI/ML/DL/Data-Science/Big-Data topics.
When it comes to Big-data and machine learning, I would simply say he (Asif) knows A-Z in that. No matter what the domain is, he has machine-learning-based solutions for the problems involved. Working with him for years, I have realized how his predictions on the machine learning revolution in big data have come true.
We’ve done development in the past..the SolutionMap is a higher level way of defining a comprehensive approach to getting the success that you want.
It was not just about software…it was all about what is this going to do in your company, how are the people in your organization with your partners and with your other stakeholders going to interact with this piece of software and what are their expectations of it…it also helped us on the backside thinking about our business processes…it was really illuminating to me.
From the design through to the development detail, they listened, understood, and carefully tested before release, often pushing our initial ideas to a better outcome.
