Cross Enterprise Management
Decomplexify your organization’s most prevalent and unsolved problems without having to rewire the company.
Overview
Platform Architecture
Cross-Enterprise Scale
What’s Different
How to Start
r4 XEM’s Decision Intelligence empowers business leaders for game-changing results.
- Innovation without disruption: AI-native business platform works with existing enterprise systems.
- No custom development: configurable end-to-end Software as a Service, from data-in to actions-out.
- Allowing decision makers to plan faster, make better decisions, and drive optimized actions – together.
XEM Platform Architecture
- Each customer has a dedicated virtual private cloud environment that meets the highest levels of security requirements.
- Customers own their data and all system outputs with no IP leakage.
- Configurable services end-to-end, with modular software configured as required by each customer.
- Preconfigured business applications for key business functions, with flexibility to extend to customer-defined applications.
- Standard hosting in Google Cloud Platform. Able to deploy in other cloud environments as may be required, including Government Clouds at any Impact Level.
XEM Software Framework
Cross-Enterprise Scale
Think Big. Start Small. Scale Quickly.
- XEM Business Applications provide preconfigured and proven capabilities for key business functions.
- Designed to start fast on a first use case, then support additional use cases within and across functions.
- Pick a place to start, and then multiply ROI by scaling cross-enterprise on a unified AI Foundation.
XEM Business Applications
- Personal for predictive and precision targeting and personalized experiences at scale.
- Local for hyperlocal selection and management of communities, markets and channels.
- Flow for demand-driven supply chain precision, orchestration and resilience.
- Ready for predictive readiness for critical assets and operations.
- Team to recruit, train, develop, and staff the best people in the right jobs.
10 Years of Enterprise AI at a glance.
After a decade of excitement, confusion, and in some cases fatigue in the adoption of Enterprise AI, r4 XEM brings a new generation of AI capabilities to business users.
Here’s how we see it…
AI 1.0: Custom Development and Point Solutions
For the past decade, business strategists have been writing about the need for organizations to embrace Artificial Intelligence to survive.
Leading to the first generation of AI platforms and tools and 80%+ enterprise adoption of custom developed AI models – with an 80%+ failure to meet expectations. Building AI is about more than math; it’s about building enterprise software.
Also, during this decade, leading software players have built machine learning point solutions into their existing platform architectures. While these advancements have created improvements within processes, these platforms are still rigid and siloed, and do not provide the cross-enterprise agility required to create new value “between the silos.”
AI 2.0: Generative Language Models
In 2022, ChatGPT was unleashed, and Generative AI dominated (and confused) the discussions of Enterprise AI.
On the positive side, generative language models (large and small) have shown the promise for humans and AI machines to better interact. And many organizations have invested in private models for focused use.
But they are limited in their usefulness. They are not quantitative or predictive. And if not used properly they can expose enterprise data.
AI 3.0: Cross-Enterprise AI as a Software Service
r4 XEM combines multiple Artificial Intelligence and Machine Learning capabilities into a configurable, end-to-end, closed-loop business decisioning and action platform.
- Configurable to provide the tailoring of custom development and the speed and lower cost of SaaS.
- Built for business users with no dependence on customer data science resources.
- Model-based to simulate complex ecosystems with diverse and imperfect data and inferential AI.
- Bring your own data as it is.
- Links generative language models to quantitative and predictive AI models to drive enterprise value.
- Automated AI/ML workflows to support operational resilience and scalability.
- Actions federated to existing systems to make them smarter and faster.
- Extensible across functions and lines of business to discover and capture value locked in silos.
- Deployed in 2-3 hours, configured in 2-3 weeks, first ROI in 2-3 months, with a roadmap to scale.
How to Start
Give us a few hours and the r4 team will help you define your AI strategy in the context of your business needs, and engage key stakeholders to define focus areas.
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Data Assessment. What data you have (messy or not), what external data you use, what other data will create value.
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Solution Design. Capture the business ideas of your key people, describe what’s possible, and together decide what’s “doable.”
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Business Case. Determine where and how r4 XEM will create enterprise value and we’ll create a proposal to deliver outstanding ROI and mutual success.