At the intersection of today and tomorrow

AI, machine learning and real time data can accelerate business

As software becomes more central to every business, data, analytics, artificial intelligence (AI) and machine learning (ML) must move from theory and pilots to practice at scale.

With our expertise in modern data sciences, we help organizations transform their use of data, design modern software, drive improved consumer experiences, and elevate business productivity. 

Make sense of complex and challenging data with robust analytics that provide a clear picture of your organization and your customers.

Take products from idea to production while including key stakeholders to ensure agreement about managing data

Leverage AI/ML to maximize the value of your business through data applied to improve work processes and customer experiences

Build your insight-driven enterprise

Ascendion helps enterprises orchestrate data with intelligence to drive actionable insights that help maximize business value. 

Business success from data starts with strategy. Our data specialists help business leaders understand the potential impact from data by crafting data value maps and clarifying key outcomes, decision points, and the data required to generate actionable insights. 

We help enterprises reimagine, architect, and build modern data platforms. 

We focus on: 

  • Data strategy and architecture blueprinting 
  • Cloud data platforms, data warehouses, and data hubs 

Most companies are flooded with data, but have a drought of useful insight.  

We help businesses become truly data driven organizations by democratizing analytics and improving business functions with access to a single source of truth.  

This allows better decisions based on the right data and actionable insights.  

We focus on: 

  • Embedded analytics   
  • Enabling self-service BI 
  • Real-time analytics  
  • Reporting Ops
  • ML-driven report rationalization  
  • X Analytics

AI & ML technologies are some of the most powerful tools of the digital revolution, but so far they have mostly been applied to the mundane (pet food, gaming) and advertising.  

But the opportunity to apply these tools to core business processes and customer experiences across other industry sectors is immense (and exciting).   

We focus on:

  • ML engineering, deep learning 
  • Machine learning operations (MLOps)
  • Artificial intelligence operations (AIOps)
  • Scaling real-time solutions with predictive and prescriptive intelligence

Our work

Data and analytics hub helps students own their future

Read more...

Changing mobile networking for good with real-time analytics

Read more...