Are your Big Data Science and AI initiatives running as desired? No?

You might be facing the following challenges

Big DATA VALUE AND THE CHICKEN AND EGG PROBLEM

You are developing use cases for data driven scenarios. Your goal to become a driven enterprise is formulated. Maybe even your first prototypes are running. A return on data demonstrating Big Data Science Application is needed in production to justify further investment. Your current resources are too limited to reach beyond the current point. Releasing into a productive landscape is simply unthinkable at this moment.

Shortage of Data Science talent and skill and infrastructure

You hired great people. Your Data Scientists and Big Data Engineers are racing to get Big Data Science and AI foundations running instead of putting their efforts into productive analytics outputs. No Big Data Science Apps are live in production. Yet, there is already a fear that the lack of applied data driven scenarios and the missing return on data will lead to competitive disadvantages in the future.

Big Data integration, silo and quality

Big Data integrations take longer time than originally expected. Often this sums up to 80 or more percent of the work time to achieve a return on data. The Data Scientists and Data Engineers have challenges delivering value in their analytics due to lack of available data. Productive Big Data Science Applications on top of the data get postponed again and again. Meanwhile, project stakeholders wait for their return on data.

Our Expertise

Artificial Intelligence Data Infrastructure
Natural Language Processing and Understanding

Extract meaningful insights from unstructured text data and enable human-like language interactions.

Computer Vision and Image Recognition

Analyze and interpret visual content to automate image-based decision making processes.

Intelligent Process Automation

Streamline repetitive tasks through AI-driven automation that adapts and learns over time.

Predictive Analytics and Forecasting

Leverage historical data patterns to predict future trends and business outcomes.

AI-Powered Decision Support Systems

Provide data-driven recommendations to enhance strategic business decision making.

Custom AI Model Development and Deployment

Build tailored AI solutions that address your specific business challenges and requirements.

Data Lake Architecture and Implementation

Design and build scalable data repositories that store structured and unstructured data at any scale.

Real-time Data Streaming and Processing

Process and analyze data as it flows through your systems for immediate insights and actions.

Data Warehousing and ETL Pipelines

Create robust data integration workflows that transform raw data into actionable business intelligence.

Data Quality Management and Governance

Ensure data accuracy, consistency, and compliance through comprehensive quality control frameworks.

Advanced Analytics and Data Mining

Discover hidden patterns and relationships in large datasets to drive strategic business decisions.

Distributed Computing and Parallel Processing

Leverage cluster computing technologies to handle massive data workloads efficiently and cost-effectively.

Multi-Cloud and Hybrid Cloud Architectures

Design flexible infrastructure solutions that span multiple cloud providers and on-premises environments.

Kubernetes and Container Orchestration

Deploy and manage containerized applications with automated scaling, rolling updates, and service discovery.

Auto-scaling and Load Balancing

Ensure optimal performance and cost efficiency through dynamic resource allocation and traffic distribution.

Infrastructure as Code and DevOps

Automate infrastructure provisioning and application deployment through code-based configuration management and Gitops.

Cloud Security and Compliance

Implement comprehensive security measures that meet industry standards and regulatory requirements.

Disaster Recovery and Business Continuity

Establish robust backup and recovery strategies to minimize downtime and protect critical business operations.

About us

We develop and maintain AI Tools and Big Data Science Apps (DSA’s). This way, we overcome big data challenges better and realize scenarios faster.

We co-innovate in partnerships to boost and maintain analytic Big Data Science Apps. You now can leverage big data development performance through our expertise and experience.

Public Examples of iunera DSAs

Demos available on request

Realtime News Analytics and BOT 

We mine mentioned crypto currency blockchain projects. Data gets sentiment analyzed and forecasts get computed in real time. In addition, reports are generated and emitted via a bot.

Reactive App behavior interaction

We analyze usage details and navigation paths in real time. Conclusions are then exposed via an API to hyper personalize recommendations for users.

Sales analytics
 

We analyze customer data to provide fine grained information to a partner. Based on this information hyper personalized offers are conducted. 

Your Use Case
 

Together, we get your use case running. 

Start my Scenario

How we enable your use case

We understand the complexities of enterprise data integration and the challenges organizations face when implementing AI solutions.

Our comprehensive approach ensures that your AI initiatives deliver real business value while maintaining the highest standards of security and compliance.

Use case

Use cases are defined iteratively:
„think big, start small“

Data Sources
Data Requirements

We determine steps to access the necessary data.

Big Data Platform

We consider the infrastructure and platform, needed to run the use case.

Experience

We contribute with experience, pragmatism and fundamental computer science background.

Realism

We address challenges openly at the beginning. This makes it possible to overcome them.