DATA & ANALYTICS

ADVANCED ANALYTICS AND AI/ML SERVICES

Leverage the latest data techniques to accelerate digital initiatives and maximize business outcomes

Advanced Analytics & AI/ML Services
Apexon helps enterprises maximize the value of complex data ecosystems with its Advanced Analytics and AI/ML services

Advanced Analytics Services & Solutions Company
The Challenge

In Digital, Data Is Power – But Only If You Can Take Advantage of It

Enterprises today have access to enormous amounts of data, but the ability to put that data to work for the benefit of the business is constrained by increasing complexity, poor data management, and ill-equipped infrastructure and tools. These shortcomings can be critical stumbling blocks for many digital transformation initiatives.

Advanced analytics, AI, and machine learning (ML) offer significant breakthroughs to address these obstacles, but taking advantage of these technologies requires unique tools and skillsets.

Data Analytics, Artificial Intelligence (AI Services) & Machine Learning Solutions
What we do

Harness the Power of Modern Analytics with the Latest Digital Technologies

Apexon provides consulting, engineering, and packaged software solutions covering the entire spectrum of 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-premise 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.

Our Offerings
END-TO-END ADVANCED ANALYTICS & AI/ML SERVICES
Data science encompasses preparing data for analysis
Data Science

Extract knowledge and insights from noisy, structured, semi-structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains for analysis and processing

Present results to reveal patterns and enable stakeholders to draw informed conclusions

Data discovery
Personalized Workbenches

Data discovery, wrangling, model-building, model management, model consumption, visualization and workflow management in an integrated platform to accelerate the data science lifecycle

NATURAL LANGUAGE PROCESSING (NLP)
Natural Language Processing (NLP)

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

Machine & Deep Learning
Machine & Deep Learning

Use ML algorithms to identify patterns and regularities and classify data using statistical information derived from patterns and representation

Statistical & Predictive Forecasting
Statistical & Predictive Forecasting

Forecast and predict opportunities, customer behavior as well as financial, economic, and market risks of future unknown events, by processing historical data using statistical algorithms

Cloud AI Services
Cloud AI Services

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

THE OUTCOMES WE DELIVER

Advanced Analytics for Deep Business Insights

end-to-end data consulting & applications implementation
Free Up Data Scientists to Work on Higher-Value Analytics Activities

Instead of dealing with the complexities of DevOps and data engineering

Advanced analytics services for INCREASED COMPLIANCE, REDUCED COSTS
Increased Compliance, Reduced Costs

Identify and prevent potential legal issues and fines before they become a problem – especially in highly regulated industries like healthcare and financial services

Better, More Informed Decision-Making
Better, More Informed Decision-Making

As a result of more manageable data and more timely access to critical data

Improved User Experiences
Improved User Experiences

Detailed SLA analytics highlight gaps in customer service and support

LOWER TCO FOR DATA MANAGEMENT
Lower TCO for Data Management

Via more automated systems, reduced storage requirements, and application/service licensing

Faster Data & Operational Speed
Faster Data & Operational Speed

Feed better data quality into business workflows and gain a more accurate understanding of actual operational performance

Future Innovation, Competitive Advantage
Future Innovation, Competitive Advantage

Predictive analytics provide insights into emerging trends, focus on future development and innovation initiatives

Our methodology

Reveal
how we do it

Key
Partnerships

aws

We can help you accelerate your time-to-market and increase 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.

azure

Our partnership with Azure helps organizations move to cloud at speed, increasing application availability, technical flexibility, and security improvements.

snowflake

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.

Why Apexon

Deep Data Analytics
Experience

20+ years of team experience in delivering large, multi-tenant, heterogeneous enterprise data assets, including ML/AI platforms

A Structured
Methodology – M4

We use a proven, predictable and consistent methodology to guide the data modernization process, developed from decades of data and information management experience

Foundational
Data Principles

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

Increased Adoption
of Data Solutions

Our visual storyboards give deep insights into customer behaviour for a more personalized customer experience