The growing digitization and connectivity of all things alongside the massive rise in computing power has made data analytics a critical priority of every business executive today. And many are looking to AI to offload specific cognitive tasks and gain speed, cost-efficiency and agility. However, many lack a comprehensive approach and roadmap to scale enterprise-grade AI for their business.
Apexon provides consulting, engineering, and packaged software solutions covering the entire spectrum of advanced data application and management — business, financial and technical. Our solutions are based on deep mathematical and statistical foundations and state-of-the-art techniques, including deep learning, machine learning, neural networks, and natural language processing.
We tailor these solutions to your needs, leveraging both on-premises and cloud infrastructure while leveraging the latest AI tools and methodologies to create practical applications that provide the insights needed to enhance customer experiences, accelerate product lifecycles, improve resource allocation, and increase operating efficiencies.
Automated identification and labelling of objects from images and videos. Apexon computer vision analytics services allow businesses to develop a Visual Analytics Processing capability that can enable AI and computer vision-based programs to extract meaningful information from images and videos in near and real-time
Data discovery, wrangling, model-building, model management, model consumption, visualization and workflow management in an integrated platform to accelerate the data science lifecycle.
Identify key insights from unstructured data. Use NLP algorithms to provide smart and self-learning systems that can extract information and insights contained in the NLP system as well as categorize and organize the systems themselves.
Forecast and predict opportunities, customer behavior as well as financial, economic, and market risks of future unknown events, by applying statistical algorithms to historical data.
Accelerating and managing ML model development and deployment lifecycles, using real-time and batch data processing AI/ML use cases and various cloud machine learning features like AutoML, hyperparameter optimization, cloud-based cognitive, bot services and MLOps techniques.
Anomaly detection is a way of discovering outliers in a collection; objects that do not belong there. The significance of anomaly detection derives from the concept that data anomalies translate to substantial (and frequently crucial) actionable information in a wide range of application fields. As more organizations go digital, it’s critical to put in place systems that not only allow you to examine your data after the event, but also foresee and detect abnormalities and new patterns that are necessary for turning data into useful information
As a result of more manageable data and more timely access to critical data.
Feed better data quality into business workflows and gain a more accurate understanding of actual operational performance
Free up data scientists to work on higher-value analytics activities instead of dealing with the complexities of DevOps and data engineering.
Detailed SLA analytics highlight gaps in customer service and support.
Identify and prevent potential legal issues and fines before they become a problem – especially in highly regulated industries like healthcare and financial services.
Via more automated systems, reduced storage requirements, and application/service licensing.
Predictive analytics provide insights into emerging trends, focusing future development and innovation initiatives.
Apexon can accelerate your time-to-market and increase your agility with our comprehensive suite of AWS offerings. Industry-best standards and AWS-guided design patterns drive our AWS cloud solutions. In addition, we adhere to a disciplined continuous review process with experienced and talented AWS-Certified resources.
Our partnership with Azure helps organizations move to cloud at speed, increasing application availability, technical flexibility, and security improvements.
Monetize your data with the help of Apexon’s end-to-end migration and implementation services for Snowflake Data Cloud. Apexon offers end-to-end migration and implementation services for Snowflake Data Cloud, including design, data preparation, re-platforming, and performance optimization.
20+ years of team experience in delivering large, multi-tenant, heterogeneous enterprise data assets, including ML/AI platforms.
We use a proven, predictable and consistent methodology to guide the data modernization process, developed from decades of data and information management experience.
We apply the foundational principles of data, or “The 4 C’s” – to every data analytics engagement: Curate, Catalog, Context, and Consume. These four principles are critical for every organization to get their data analytics initiatives right.
Our visual storyboards give deep insights into customer behaviour for a more personalized customer experience.
