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> We partner with industry professionals
Our Industry Experience
We work with you to understand your needs inside and out. For example, in developing an application for a customer, we spent a week with the baggage handlers to understand their needs and challenges. When we noticed that they typically wore gloves, which made it difficult to handle the mouse, we designed and developed a web-based app that could navigate through the keyboard.
> How we approach our clients problems
It all starts with our team feeling your pain. We probe, explore and leverage our industry expertise to acutely understand your problem, document your specific requirements, and then use design thinking to arrive at a solution using that expertise, as well as creativity and systemic reasoning. Our software architects and business analysts then work together to deliver on that design, creating a solution that moves your business forward.
Agile Software Development
What software development methodology do we use to build your solution? Whichever one best meets your project’s needs. Our software development team is highly skilled in a variety of iterative and incremental software development methodologies, such as agile, yet we are just as versed in waterfall software development.
Since technologies continue to evolve and your needs change as well, we’re committed to maintaining and continuously improving your solution, making sure it continues to solve your problems, remain compatible with new devices, and that machine learning algorithms are retrained with the latest data.
Getting on the Right Path for a Data Science / Machine Learning Career: The Courses and Sources to Get You There
Last year, I wrote a blog highlighting and suggesting a path to take for a career as a machine learning engineer. Some things have changed since then but many still remain the same. Data scientists, machine learning engineers or other AI-related careers still dominate the list of high paying jobs in demand. Unfortunately, what also... Read more » →
In an article I recently wrote for EnterpriseAI, I addressed how companies can begin to dip their toes in AI before making a long-term commitment, in terms of the time, resources and expense that these projects typically require. An effective method for doing that is an AI “sprint.” These short-term AI projects allow companies to... Read more » →
In an article that I recently wrote for the Forbes Technology Council, I discussed the central role of corporate culture as the enabler for companies to fully embrace digital transformation. Before undergoing a digital transformation of any kind – whether it be implementing chatbots, a machine-learning solution or an application modernization initiative — companies must... Read more » →
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