AI & ML SERVICES
Make your enterprise AI ready. Harvest intelligence by maximizing AI throughout your enterprise.
Enterprise Ready AI
In today’s digital world, data, analytics and AI play a key role in transforming native business operations, creating new business models, and unleashing process improvements. RTS’ data, analytics, and AI services enable organizations to deliver value across the customers’ journey by empowering users with more agile and intuitive processes.
Our services help organizations use data and analytics to create new business models and revenue streams – all while ensuring security, quality, and regulatory compliance of data. Underpinned by technologies such as cloud, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics, our solutions help enhance decision making while enabling augmented intelligence and process automation. In addition, RTS’ crowd-powered consulting helps secure innovation and scale programs to deliver tangible results.
Our AI-First framework is designed to enable data monetization and encompasses:
- Robust Processes
Imbibe the Detect-Think-Respond-Learn (DTRL) system to convert data to actionable intelligence.
- Next-Gen Technologies
Leverage data engineering innovation for semantic architecture, knowledge graphs, and deep neural networks to transform your business. Utilize data consumption approaches to bring data science to life through workflow integration of analytics, visualization of information, and integrated processes for decision-making.
- Leading-Edge Capabilities
Take advantage of a world-class internal and external ecosystem comprising technology centers of excellence, research-based solutions, and subject matter experts that power innovation and deliver solutions at scale.
Data Analytics Strategy & Design
Design your analytics strategy and identify the use cases and ROI based on business challenges, performance objectives, and investment roadmap.
AI Implementation and Operation
Implement, manage, and optimize statistical, non-traditional machine learning, and AI algorithms for predictive and prescriptive analytics, computer vision, and Natural Language Processing.
Data Architecture Modernization
Determine the best data architecture strategy and design, and operate a modernized data fabric for optimal storage, security, integration, and management.