Why: AI Implementation Process
Best Case-Scenario
In this phase of brainstorming, we want you to think big. Artificial Intelligence is not merely a technological tool; it is a transformative force with the potential to redefine your organization’s performance. We want to know what you think AI can do for you.
Potential Barriers to AI
When implementing AI, be aware of key hurdles: Machine Learning needs quality data, Language Processing struggles with context, RPA can clash with old systems, and Generative AI raises ethical questions. We go over any potential barriers to AI implementation for your organization because tackling these early can smooth the path to adoption.
Barrier Mitigation
Once we have put together a solid list of potential barriers, we dive into brainstorming solutions. Some common barriers we attack are Data Set and Model Validation, Purpose Alignment, Regulatory Guidance, and Tools. From ensuring data quality and model robustness to verifying that the AI initiative matches business objectives, we come up with actions to hurdle AI-related barriers.
Develop Use Cases
This isn't a one-size-fits-all approach; it's about diving deep into your specific industry and organizational needs. By exploring various scenarios where AI could make a significant impact, from automating mundane tasks to delivering data-driven insights, we aim to pinpoint exactly how AI can serve your business best.
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.
