Cloud Migration

Data is the new oil of the digital economy. Businesses are promptly investing in innovative, scalable and fast storage solutions for data. Third-party managed public and private clouds have emerged as the foremost solutions in this regard. A large number of leading businesses, Samsung, Netflix, Snapchat, Lyft were pioneers in cloud adoption and other businesses are quickly catching up. According to Gartner, public cloud revenues are projected to grow by upto 28% in years leading to 2022. While Amazon Web Services (AWS) and Microsoft Azure are clear current market leaders, Google Cloud Platform (GCP), Alibaba Cloud and Huawei Cloud Services are quickly gaining ground. Despite the development of a plethora of cloud services, migrating data from legacy data storage solutions to cloud continues to remain a challenge. While a properly managed cloud migration can unlock new avenues of growth and result in tremendous saving in IT budgets, a mishandled cloud migration can severely harm businesses and may result in loss of data, degradation of business processes and extended migration times. Our goal is to help companies manage their cloud migration in an optimal way without compromising on any of their business ideals. We provide multi-tier services in this area. We can work with your IT team to help chalk out the plan for effective cloud migration in a consultancy capacity. We also provide end-to-end service where in addition to creating a customized plan for your enterprise we also design and implement the required infrastructure minimizing disruptions, prioritizing security and ensuring a hassle free migration journey.

Data Analytics

Businesses today generate a large amount of data, colloquially termed Big Data. In raw form, this data remains untenable due to its humongous size. However, with appropriate and careful data processing, this data can be transformed and summarized into easily understandable facts and generate insights to improve businesses processes, minimize losses and open new horizons of opportunities. With the help of modern visualization tools like Tableau and Microsoft Power BI, real time visualizations can be created making it easier for analysts and executives to trace out trends and make appropriate interventions. If needed, custom tools can be created using powerful visualization libraries in Javascript, Python and R. Our team of expert data engineers and data scientists can effectively create custom tools for data preprocessing and data visualization and also help integrate third party services in this regard, even when data becomes too large to handle for traditional tools.

Machine Learning

Machine learning and related artificial intelligence solutions like deep learning and reinforcement learning allow finding obscure patterns in the data which are imperceptible to humans. Today machine learning algorithms fuel state of the art forecasting solutions, recommendation engines, information and search systems, predictive analytics, investment risk analysis, fraud detection and many other services and have found applications in all business areas spanning from Marketing and Sales to Engineering and Manufacturing to Supply Chain Optimization. McKinsey has found that 82% of all enterprises adopting machine learning solutions have seen a positive financial return on their investments. However, despite the obvious potential of machine learning, adopting machine learning algorithms to custom problems remains a problem for many businesses due to the fast paced and research oriented nature of these algorithms. Qult AI facilitates companies to adopt machine learning technologies and develop a competitive edge by providing customized solutions best suited to their needs. These solutions may range from automated reporting and identification of different factors that may affect a business service to optimal control and reinforcement learning based learning solutions for optimization of manufacturing plants.

Computer Vision

Computer Vision is a subfield of Artificial Intelligence which has enjoyed great industrial success in recent years driven by adoption of neural networks and cheap access to cameras. The term computer vision broadly refers to the computer algorithms which interpret and analyze visual data. While the field is arguably still quite young and amazing new advances are being made every day, computer vision has already find various interesting applications in many different fields. For example, in the area of security, computer vision algorithms are used for face recognition, fire arm detection, video analysis, image super resolution among other things. In healthcare, computer vision algorithms now analyze x-rays and detect diabetic retinotherapy. Virtual reality is another exciting area where computer vision algorithms have been applied successfully, most notably by social media apps like Snapchat and TikTok. The same computer vision algorithms are also being used innovatively in areas like manufacturing, agriculture and census data collection among many other fields. Qult AI has extensive expertise in designing computer vision solutions. Our portfolio in this area includes, but not limited to, 3D reconstructions of complex geometrical shapes from 2D-depth images, live facial recognition, monitoring and tracking of individuals on premises through a network of collaborating cameras and vehicle number plate readers from highly blurred snapshots.