Why: AI Preliminary Assessment
Key Business Stakeholders
We identify all parties responsible for or affected by AI implementation, including executives, data scientists, IT teams, and end-users. We gauge understanding, expectations, and concerns related to the AI system. Our team evaluates the lines of communication between these groups to identify any gaps or bottlenecks that could hinder effective decision-making. Understanding the roles and responsibilities of each stakeholder will allow us to ensure that everyone is aligned with the ethical and operational goals of the AI initiative
Existing and Planned AI Projects
We create an inventory of all ongoing and upcoming initiatives, categorizing them by priority, impact, and stage of development. We then conduct a review of each project's objectives, data quality, ethical considerations, and alignment with the company's overall strategic goals. By using key performance indicators (KPIs) and project timelines, we'll evaluate the effectiveness and efficiency of these initiatives.
Engineering and Data Science Teams
We assess the expertise and responsibilities of each team member. Our team evaluates the processes and methodologies used for project development. Through interviews and surveys, we capture insights into team morale, job satisfaction, and any gaps in resources or skill sets. This comprehensive assessment will allow us to identify areas for improvement and ensure that the teams are well-equipped to execute AI projects successfully.
Infrastructure Deployments
We examine the hardware and software frameworks supporting your AI initiatives. We evaluate server capabilities, data storage solutions, and network latency to ensure they meet the computational needs of AI models. Our team inspects security protocols and compliance measures to guarantee data integrity and confidentiality. This will include a look at how data flows between different system components to identify any potential bottlenecks or vulnerabilities.
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.
