The Unifying Data Science Platform
ADALAB bridges the gap between business and data science by providing an all-in-one platform where teams collaborate, create, and share analytics. Through easy access to powerful tools and resources, ADALAB nurtures innovation, data literacy, and decision-making grounded in insights.
What our Customer are saying
Half a decade working in IT services developing data science platforms, software applications and doing IT consulting for clients around the world.
Through their collaboration with my teams focused on Microbe Research, Adamatics stabilized our systems and bridged our business needs with the right technologies. We are confident about realizing our ambitions on our digital foundation after our co-creation process with Adamatics.
Henrik M. Geertz-Hansen
Research Manager, Novozymes
The Adamatics team has been instrumental in the development and architecture of our data lake and state-of-the-art cloud infrastructure. They help us follow our aspirations and reach our ambitious goals. Not only do they deliver on time, but always above and beyond our expectations.
Solmaz Gabery Adams
Director, Novo Nordisk
Benefits of Collaborative Data Science with ADALAB
Enhance data science productivity through advanced workflows, MLOps, notebook scheduling, and containerized app development, all within ADALAB’s cost-effective platform hosted in your on-prem or cloud environment.
Boost your innovative drive with ADALAB’s containerized setups, fostering rapid trials, prototyping, and rolling out of analytics solutions. Enjoy the perfect balance of speedy innovation, and stable, portable code and applications.
Transparency is core to ADALAB, employing FAIR principles to make analytics Findable, Accessible, Interoperable, and Reusable. Analytics leaders can easily showcase their team’s solutions, supporting business-wide data-driven decision-making.
Empower teams with ADALAB’s unified platform that fosters collaboration among analytical consumers, citizen data scientists, and expert developers, streamlining analytics development and sharing across departments.
Work as a Community
ADALAB bridges the gap between analytics novices and experts. With its collaborative features, shared examples, and user-friendly interface, it stimulates data literacy and builds a dynamic, engaged analytics community within your organization.
ADALAB’s containerization and integrations with tools like Docker, Visual Studio Code, and databases empower users to create custom, composable analytics solutions tailored to specific business needs, driving actionable insights.
What ADALAB delivers
- ADALAB empowers Data & Analytics Executives and CIOs by providing a unified, scalable, and cost-effective data science platform that boosts collaboration and innovation.
- Fosters Innovation: Enables a culture of data-driven innovation by empowering teams to collaborate, experiment, and deploy analytics solutions swiftly.
- Maximizes Productivity: Streamlines analytics workflows to reduce time spent on redundant tasks, accelerating data-driven decision-making processes.
- Cost-Effective Scaling: Offers a cost-neutral solution as the user base grows, optimizing budget allocation without compromising on performance.
- Enhanced Collaboration: Boosts inter-departmental synergy by creating a unified platform for sharing insights, analytics tools, and data resources.
- Transparent Results: Provides transparency and accessibility in analytics solutions, making it easier for executives to showcase and present their contribution to the organization.
- Empowered Business Users: Makes complex data analytics accessible to non-technical users through point-and-click applications and dashboards.
- Enhanced Data Literacy: Supports enterprise-wide data literacy initiatives by providing accessible tools and tutorials for different skill levels, promoting informed decision-making.
- Robust Security: Eliminates security risks associated with local installations by centralizing data and analytics in a secure environment.
- ADALAB facilitates an environment that is conducive not just for individual data scientists but also for collaborative efforts, making it an invaluable resource for any Data Science Manager.
- Enhanced Team Productivity: AdaLab’s streamlined environment enables data scientists to focus on analytics, reducing time spent on setting up and managing tools.
- Expert Collaboration: Encourages collaboration among subject matter experts, citizen data scientists, and analytical developers, leveraging collective intelligence for better outcomes.
- Quality Assurance and Control: Provides administrators with content QA workflows, keyword management, usage tracking, and issue management, ensuring high-quality analytics content.
- Long-term Stability: Ensures code, apps, and models remain stable and portable over time with containerized environments, safeguarding investments in analytics.
- Scalable Computing Resources: AdaLab provides the ability to allocate resources like CPU and GPU effectively, ensuring optimal performance without over-utilization.
- Centralized Resource Gallery: Simplifies the discovery and sharing of notebooks, models, and datasets among the team, reducing redundancy and encouraging reuse.
- Simplified Deployment of Models and Apps: Rapidly deploy machine learning models and applications, reducing the gap between development and production.
- Transparent Analytics: Provides a clear view of analytics outputs and processes, making it easier for managers to evaluate and report the team’s achievements.
- ADALAB empowers data scientists by providing a cohesive, robust, and versatile platform that handles the logistics and lets them focus on what they do best – extracting insights and value from data.
- Diverse Toolset: Access the best open-source tools and libraries without the hassle of manual installation and setup.
- Customizable Environments: Tailor containerized environments to your specific needs, ensuring project consistency and reducing dependency issues.
- Experiment Tracking: Monitor and manage your experiments efficiently with MLflow, making it easier to compare models and configurations.
- Automated Workflows: Schedule notebooks for automatic execution, facilitating the creation of data pipelines and regular data processing tasks.
- Container Building and Sharing: Build Docker containers within AdaLab and share them via a centralized registry, streamlining the creation of custom environments.
- One-Click Application Deployment: Convert your notebooks into web applications effortlessly using frameworks like Voilá, Shiny, Dash, and Streamlit.
- Optimized Developer Experience: Benefit from a polished user interface and tools like Jupyter and Visual Studio Code, which optimize your workflow and make coding a breeze.
- Flexible Kernel Management: Manage Jupyter kernels efficiently, ensuring stability while allowing for customization with different versions of languages and packages.
- ADALAB enhances the capabilities of business users and citizen data scientists by providing an intuitive, collaborative platform for analytics. It democratizes access to data tools, fosters data literacy, and empowers users to create custom dashboards and no-code applications.
- Easy Access to Analytics Tools: Intuitive interface to easily find and use data analytics tools without needing deep technical knowledge.
- Collaboration with Experts: Seamless collaboration with data scientists and analytics experts within the platform, fostering a learning environment.
- Custom Dashboards and Reports: Ability to create and access customized dashboards and reports for data-driven decision-making.
- Data Literacy Support: Access to examples, tutorials, and resources that enhance data literacy and analytical skills.
- One-stop Shop for Resources: Use the central Gallery to find, favorite, and share notebooks, applications, and other resources.
- Communicate with Analytics Creators: Engage in platform-based communication with creators to discuss insights, findings, and requests.
- Rapid Prototyping with Data Scientists: Collaborate directly with data scientists to quickly iterate and prototype data models and applications, bridging the gap between technical expertise and business insights.
- Beyond Excel – Access to Advanced Tools: Break free from the limitations of Excel by utilizing a wide range of advanced analytics tools and platforms for more complex and sophisticated data analysis.
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