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- Data
- Cloud
- Engineering
- Application
- Localization
Data
Data
Instant access to real-time data and AI-driven insights
Leverage Gen AI for enterprise data management, analysis, and decision-making to enable on-demand descriptive, predictive, and prescriptive analytics through data exploration and visualization.
Cloud
Cloud
Effortlessly execute tasks and delivery across multiple cloud providers
Apply Gen AI for efficient, secure, and responsive enterprise cloud management. With a focus on enhancing various aspects of cloud computing including security, cost optimization via cost benefit analysis, data analytics, anomaly detection, predictive maintenance, resource scaling, and compliance and governance.
Engineering
Engineering
Execute lightning-speed code generation and debugging efforts
Deploy Gen AI for software development lifecycle (SDLC) to significant accelerate the engineering and development process, improve code quality, and enhance the collaboration across the development team. A major focus is on streamlining the various stages of software development that involves requirement gathering, design and prototyping, code assistance, test automation, code reviews, bug detection, continuous integration continuous deployment, and project management.
Application
Application
Plug & Play for Enterprise Apps
Incorporate Gen AI with plug and play capabilities for enterprise applications to significantly benefit from enhanced functionality, improved user experience, data-driven insights, and calls to action. Integrating Gen AI into existing software systems through service APIs enables seamless communication between applications and Gen AI services while facilitating data exchange and prompt engineering. This helps tailor the models or services to specific business needs via custom configurations to match an enterprise application’s requirement.
Localization
Localization
Delivering Global Brand Experiences
Elevate Localization productivity with our Honeybee, our proprietary offering, that harnesses the power of AI to enhance language and content development at scale. It reduces costs by performing essential duties such as evaluating machine translation accuracy, making language-based and localization tasks up to 50% more efficient.