At Dhurin, we start by understanding you—your business, your unique needs, and your data. Only then can we create solutions that truly fit. No matter which of these describes you, Dhurin is ready to help.

  • You’re committed to data-driven decisions: You want to leverage data science on your own. You’ve experimented with decision trees, neural networks, SVMs, and other tools. Some initiatives have worked well, while others could have been better. You wish you had more expertise, more helping hands, and data you could truly rely on.

 

  • You know your business inside out. Your instincts and intuition have served you well, but you recognize the need to evolve as the landscape changes. You want deeper answers—like “why is this happening?” and “What comes next?”—to keep up with complexity and stay ahead.

 

  • You excel at what you do, and you have valuable data: You believe it holds the insights needed to drive your business forward. You’re confident that investing in data science will bring results, and you’re ready to explore its potential.

 

We can support you on your journey to harness data science effectively. We understand why some of your efforts succeeded while others fell short, and we’d love to help you explore these questions further.

Whether or not we end up working together, we’d be thrilled to have a conversation. Welcome to Dhurin.

Why hiring just any AI/ML firm may not serve your purpose…

  • Many of the data science firms today play to the hype of Artificial Intelligence (AI) and Machine Learning (ML); but these methods are neither the panacea nor the holy grail to solving all business problems.
  • Much of the AI/ML enthusiasm feeds off the successes scored by the “Big Tech”. The AI/ML firms surely create excitement—but then there are ground realities and ambiguities that businesses need to deal with. And it does not always make for a fruitful dialogue between the firms and the people seeking their help.
  • Some of the new AI/ML skills attracting media attention are not skills for better solving the real problem of inference from data; they are skills dealing with large-scale computing. They are two very distinct issues. And one doesn’t solve the other.
  • Deep learning not used responsibly and developed in a haphazard manner not only fails to deliver, but also shakes the frontline’s belief in its usage. Often, the hand holding needed for successful adaption of data science is plain missing.
  • With increasing technological prowess, we see a distinct and increasing bias towards pure computational methods. At times it is easy to lose context and run the risk of falling into a mercenary approach.

At Dhurin, we go to great lengths to understand your unique challenges and pain points. Rather than prescribe a one-size-fits-all solution, we choose a method that is appropriate for the problem at hand.

In doing so, we will be with you every step of the way. And we will not be disappointed if every problem we solve does not call for a fancy optimization of the hyperparameters of an eXtreme Gradient Boosting’ algorithm.

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