EMPOWERING ORGANIZATIONS WITH AI, ML AND DATA ANALYTICS

In today’s fast-paced digital landscape, harnessing the power of data and artificial intelligence (AI) is no longer a luxury but a necessity. Our expertise in architecture and design, systems integration and data transformation help organizations leverage AI, machine learning (ML) and advanced analytics for unprecedented growth, customer intimacy and operational efficiency.

Embarking on the AI journey can be a demanding and rewarding endeavor. At Red River, we stand ready with a diverse range of offerings tailored to meet the unique needs of both business and government.

FEATURED AI CONTENT

Red River and Dell: A Powerful Partnership for AI Solutions

Red River and Dell Technologies (powered by NVIDIA) are industry leaders providing advanced data analytics and AI ecosystem technologies – combining technology solutions that meet customers’ strategic goals and objectives.

Learn more

AI CUSTOMER JOURNEY

Download our full AI Customer Journey Infographic here.

FOUNDATIONAL

Assessment

Planning

Experimentation

Building

Design

Develop

Integrate

USING

Deploy

Refine

Scale

TRANSFORMING

Improve

Advance

Innovate

SERVICES AND OFFERINGS

AI Consulting, Assessment and Maturity Model Framework

• Baseline Data and AI Assessment and Analysis
• Mapping to Red River AI Maturity Model
• Identify & Prioritize Use Cases

Design, Architect, Build, Deliver and Manage the AI Use Case

• Optimize & Size AI Solution to Scale
• Plot & Manage Maturity Continuum
• Enterprise Integration into Business Processes
• Data, ML, AI Ops
• Go Forward Governance Model

Operationalize, Integrate and Scale Enterprise AI & Data Strategy, Analytics & Decision Intelligence

• Solution AI Use Case eg; COTs, Custom or Hybrid Modification
• HW/SW Feature, Platform and Infrastructure Evaluation
• Public cloud vs GPU cloud vs private on prem comparisons
• Demo/Prototype & Pilot Use Case
• Validate Outcomes

“The AI continuum of solutions”

AI Partner Ecosystem

Cisco

Dell Technologies

Microsoft

ServiceNow

Source Code

H20.ai

Splunk

Palantir

Elastic

HashiCorp

Red Hat

DataRobot

Snowflake

Nvidia

Databricks

UiPath

Run:ai

Hewlett Packard Enterprise

CTS

KUNGFU.AI

AI USE CASES

Enabling Better Outcomes with AI

IDENTIFYING BAD ACTORS

Agencies that need to anticipate and potentially block nefarious users can leverage AIOps to find historical data patterns and real-time incidents that are not easily identified by human operators. This enables the agency to stop a cybersecurity incident before it becomes an issue and provides a data trail that can be used to support enforcement actions.

AI-Enabled Enterprise Operations

Organizations that rely on antiquated data management systems to monitor customer databases need a dependable method for overseeing the health of their systems and applications. Adopting a multi-phase AI strategy enables organizations to shift from a reactive stance to a proactive and predictive operational model. This empowers them to identify potential issues and support efforts across cybersecurity and AIOps through the utilization of AI/ML tools and risk-based alerting.

Expand ITSM Architectures to Integrate AIOps

Federal agencies can expand ITSM architectures to take advantage of current investments while improving productivity by adding resilient capabilities. Automated event and incident management and self-healing increase agility, decrease operational costs and help organizations stay focused on mission outcomes. .

OUR EXPERTS CAN HELP WITH:

AI Operations

AI Operations (AIOps) is the innovative blend of AI and machine learning with traditional IT operations to empower organizations to efficiently manage evolving IT environments. Red River will help you embrace AIOps to achieve seamless efficiency, unmatched problem-solving and an IT infrastructure that is future-ready and built to help you compete on a global scale

Data Strategy

Data Strategy allows organizations to unlock the full potential of their data (and third-party data) to improve competitiveness and innovation. It involves roadmap and advisory services, data preparation, visualization and governance design, and future state solution development. A sound Data Strategy is the first step in enabling advanced analytics techniques including predictive AI and machine learning.

Generative AI

Generative AI and large language models (LLM) are revolutionizing organizations by enabling natural interactions with user-specific data to enhance efficiency while addressing mission and business challenges at scale with speed. Our team not only helps to deliver the promise of Generative AI but also addresses its challenges from ethics and security to keeping up with and making sense of innovation and the ever-changing AI landscape.

Machine Learning

Machine Learning is founded on the concept that systems can learn from data, recognize patterns and make decisions with little human involvement. Our experts help organizations understand the interaction of your data sets with ML and help pair the best algorithms with the right tools, processes and data sets to detect fraud, impact patient care, optimize pricing, enhance supply chains and protect warfighters.

Predictive Analytics

Predictive Analytics enables data-driven decisions, anticipates behavior, optimizes processes and mitigates risk. Embedding predictive analytics into current processes empower organizations to be proactive rather than reactive, leveraging data to gain a competitive advantage, drive innovation and improve performance.

LET’S
GET STARTED

INFO@REDRIVER.COM

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