Mindsync is a platform to help solve customers’ tasks through ML/DS competitions as well as a marketplace for these solutions and training datasets.

Introduction

Today’s artificial intelligence (AI) market is growing rapidly. The use of AI technologies such as computer vision (CV), deep learning (DL), machine learning (ML), natural language processing (NLP) can bring huge competitive advantages in different industries. Worldwide spending on cognitive and AI systems will reach $19.1 billion in 2018, an increase of 54.2% over the amount spent in 2017. According to IDC, AI expenses will grow up to $52 billion in 2021 and the compound annual growth rate (CAGR) will reach 46% in the 2016–2021 forecast period. But the global AI market is experiencing headaches like any growing market.

The Problem

    Lack of staff. The demand for applied AI experts, data scientists, machine learning and deep learning developers is growing every day. Today these specialists are rare and expensive. But in spite of it all, highly competitive nature of business requires high skilled personnel to find efficient solutions in the shortest time. The scarcity and costs of these resources are a big problem for organizations using or trying to use AI technologies.
    High cost of computing power. Data science and machine learning tasks are usually resourceintensive ones and can be efficiently solved using a large number of CPU and/or GPUs. Using cloud services such as Google Cloud, Amazon AWS, Microsoft Azure can solve that problem, though with an unreasonably high price.
    Despite the AI industry development, in pursuit of ready-made AI solutions applicable for solving real business problems, and in other areas, their integration and adaptation are still a complex question.
    Security problem. Lack of automated data integrity and version control. These verifications provide replicability and are crucial in applied machine learning algorithms with high security requirements.