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.
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how we do it
Apexon uses a consultative approach by combining data engineering, cloud, data privacy, and compliance skills with proprietary frameworks and maturity models to construct a modern data ecosystem. In addition, our flexible resourcing model allows for the rapid scaling of teams through a pod or virtual pod-based approach.
We also leverage pre-engineered accelerators and digital assets across all our Data Services to accelerate the data transformation journey.
M4 Data Strategy RoadmapA proprietary execution framework for analytics engagements. M4 provides a proven strategy and predictable steps for data modernization. It helps map use cases to modernize architecture and migrate to the cloud while giving all stakeholders a clear view of expectations.
A cloud-native, advanced data analytics framework that provides intuitive, flexible self-service access to BI, visualization and analytics insights to help business leaders and analysts make smarter, faster decisions. iC4 provides best-in-class tools for the four foundational principals of information management — Curate, Catalog, Context, and Consume. This stepwise approach and architecture allow organizations to capitalize on the benefits of analytics applications without having to build and maintain a huge data warehouse, visualization capabilities, and reporting platforms.
Apexon leverages a Sentence Similarity Engine as part of its Natural Language Processing capabilities. This allows us to analyze unstructured content in the form of text and documents to compute semantic similarity and unearth new data insights.
VizSense is a visual analytics platform that applies advanced ML deep learning algorithms to provide an entire suite of functionalities for all computer vision application needs from live video feeds processing, real time sorting and access control to integrating pre-trained models, video-based intelligence extraction, and BI reports.
A solution which proactively scans, detects, and foresees patterns and data abnormalities that can have a far-reaching impact on business and leverages advanced ML capabilities to provide insights that can help turn those anomalies into business opportunities. Organizations use EdgeDetect to spot unusual patterns and use that data to improve business processes, prevent fraud, improve CX, reduce customer churn, and increase ROI.
A solution-agnostic forecasting tool quickly that forecasts trends in dynamic data sets, automates forecasting processes, and provides proactive monitoring of changing customer needs. It also provides the flexibility to accommodate a variety of real-world scenarios to improve demand forecasting capacity, while dramatically reducing manual intervention.
An advanced ML solution which leverages tools to integrate data from all customer touchpoints to provide a comprehensive understanding of the customer experience. By closely monitoring the customer journey, CXWatch highlights key patterns and trends in CX metrics, helps determine the most important factors in customer satisfaction, and provides valuable suggestions to improve the customer experience at every touchpoint. These insights also help improve share of wallet, attract new customers, and boost marketing effectiveness.
TalkAtIve is an advanced AI-based conversational engine that enables businesses to move beyond Chatbots and IVR and make conversational computing a widespread capability. The solution leverages sentiment analysis and AI to create intuitive virtual assistants capable of carrying out natural, responsive, and contextual conversations.
XtractIQ is an AI-based document-processing solution that detects and interprets the content and structures of documents. Blending advanced technologies like OCR, ML, NLP, and computer vision, XtractIQ can effectively recognize patterns and extract intelligence from unstructured content in a range of forms and turn it into actionable data, generate inferences, and advance your move towards hyper-automation.
Apexon has experience with the leading cloud and analytics tools, and platforms. We take an agnostic and unbiased approach with the goal of selecting the right tools for the organization and environment. We can help you take full advantage of these tools and platforms to maximize your ROI with them.
Our partnership with Azure helps organizations move to cloud at speed, increasing application availability, technical flexibility, and security improvements.
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.
Advanced analytics services involve the use of sophisticated techniques such as machine learning, artificial intelligence, and predictive modeling to analyze data. These services help businesses extract deeper insights, predict future trends, and make data-driven decisions to enhance performance and innovation.
Analytics and machine learning work together by using data analysis to identify patterns and trends, which machine learning algorithms can then learn from and improve upon. This combination allows for the automation of complex decision-making processes and the development of predictive models that can adapt and evolve with new data.
AI plays a crucial role in advanced analytics by enabling the automation of data analysis, enhancing the accuracy of predictions, and providing more nuanced insights. AI algorithms can process large volumes of data at high speeds, uncovering patterns and trends that traditional analytics methods might miss.
Industries such as healthcare and life sciences, finance, retail, and manufacturing benefit significantly from advanced analytics services. These sectors can utilize data to predict customer behavior, optimize supply chains, improve patient outcomes, and enhance risk management, driving both operational efficiency and growth.
Advanced analytics improves decision-making by providing organizations with actionable insights derived from data. By applying techniques like predictive modeling and machine learning, businesses can forecast outcomes, identify risks, and uncover opportunities, enabling more strategic and informed decisions.
Through our partnership with Apexon, we have been able to achieve many goals. One is to get our platform built with speed by helping our engineering teams and then we have also achieved our infrastructure goals of ISO certifications. Apexon team is helping us deploy the platform even faster from two or three times per week to five or six times a week.
Their(Apexon) attention to detail and continued focus on CD Valet has kind of proved that we made the right decision and we have expanded from one team to multiple teams. We are surveying about 31,000 CD rates on a weekly basis and Apexon plays a very important part in that process.
