Predictions in astrology may be a hoax, but with the disruptions in the field of data science and high availability of data, machine-learning predictions are as real as well as accurate as it can get with the only clause being the accuracy of the model. Today, machine learning is opening new avenues in almost every domain. And why not? Training the model has become a breeze, all that is required is the sufficient amount of data or records in the input variable, applying the right algorithms, writing lines of codes and the predictions are there. Although, this is just the tip of the iceberg as machine learning advances to more complicated fields such as deep learning/neural networks where the machine can self train itself without the need of human intervention, making its way to a broad domain of artificial intelligence.
With the inclination towards deep learning, artificial intelligence gaining traction, various tech giants as well as start-ups are pooling in to have the major share of the relatively new market. More so, with the market having endless possibilities, self-driving cars, intelligent voice assistant, more accuracy in drug discovery, and the list goes on, organizations today have huge options to use and improve as well as avenues to build their businesses.
With new solutions being developed with a rapid pace, be it healthcare, HR, or automotive. The need then arises to be aware of various developments that are happening in the field as well as businesses must choose wisely in their quest to achieve business goals and stay ahead of the competition. To assist them with the same, the editorial board at CIO Applications Europe has selected a handful of leading machine learning solution providers after evaluating their technical prowess. We have considered the vendor’s ability in delivering solutions; keeping in mind, the factors like the expertise in the domain, analytics skills, competencies, and the impact of the solution on the business.
We present to you CIO Applications Europe’s “Top 10 Machine Learning Consulting/Services Companies - 2019.”
