Generative AI is poised to drive workforce productivity and accelerate innovation worldwide. McKinsey projects that generative AI will automate 60 to 70 percent of employees’ work today and unlock $2.6 trillion to $4.4 trillion in potential annual value across dozens of high-value enterprise use cases. However, enterprises need to solve:
Business challenges:
Generative AI hallucinates outcomes, may demonstrate bias, and can’t ensure security and compliance.
Technical challenges:
Generative AI solutions must be customized to use cases and need to incorporate diverse data sizes and formats.
Operational challenges:
Large-language model (LLM) and API costs can soar if not well-managed.
Tredence provides cross-disciplinary capabilities, from generative AI consulting to user experience (UX) design, model development, governance, change management, and ongoing managed services. We develop domain-specific models that are trained on a specialized corpus and are paired with extensive dialogue interactions or dialogue-annotated data to execute higher-level tasks. And enterprise teams can tap our ecosystem of hyperscalers and data and AI independent software vendors (ISVs) to expedite value.
End-to-end prescriptive GenAI services to unlock growth, revenue realization, and new opportunities
Gain end-to-end services and solutions to create a generative AI structure that scales. Work with Tredence to develop a strategy, business case, technology strategy, and roadmap; reimagine value-chain processes; and create a new business architecture and domain-specific corpus. We also provide UX expertise, industrialized GenAI consulting and delivery capabilities, and managed services to scale model development.
Partner with Tredence to gain access to skillsets, frameworks, tools, and partnerships that help you unlock more value from generative AI. Experiment, deploy more use cases, and roll out new capabilities at speed.
Harness our deep domain knowledge and interactive consulting capabilities to identify and prioritize high-value use cases and perform a gap-fit analysis between the current and desired future state. You’ll gain a generative AI roadmap, customized architecture, and tooling strategy, along with ROI-driven business cases.
Work with Tredence to develop a minimum viable product (MVP) in 10-12 weeks, showcasing generative AI’s potential to transform key use cases. We use Figma to craft use case designs; set up cloud instances to ensure robust operations; and execute, deploy, and validate generative AI models to ensure seamless functionality. We’ll also explore your data holdings and requirements and equip teams with new processes and tooling.
We’ll work with you to extend your MVP to broader business processes and across your company. We use best-in-class MLOps practices to enable continuous monitoring, optimize performance, and facilitate change management for a smooth transition to new processes.
We offer domain-specific accelerators that simplify processes, help teams drive to insight, and can easily be customized to enterprise requirements.
Analytics Copilot is a business analysis and data analytics solution, enhancing productivity and simplifying complex data interpretation. The solution empowers your enterprise, revitalizes your analytical framework, and gives you a competitive edge in today's evolving business landscape.
Tap full-spectrum generative AI skills
Including LLM engineering, development, operations and platform engineering.
Access cross-disciplinary expertise
From data and AI strategy-setting and execution to customer analytics, marketing technology, supply chain, and more.
Put generative AI accelerators to work
Gain enterprise search, knowledge management, software development, and other capabilities.
Access ATOM.AI
Harness the power of the ecosystem to develop vertical solutions at pace.
Leverage LLMOps and managed services
Including model development, monitoring, reporting, and continuous improvement and keep your focus on innovation.