AI’s Proven Business Value

AI encompasses a range of technologies, each with its unique capabilities and applications. The chart above by Forbes shows a number of important and practical business uses for AI tech.

4 Key Areas to start

AI has quickly taken center stage in enhancing workforce productivity, operational efficiency, and end-customer experience across various aspects of a business. Here are just a few examples of relatively easy AI entry point and how nearly any company can benefit from AI-enabled tools today in practice areas where Cloud 9 can help with proven experience.

1. Customer Experience

Customer Experience (CX) is likely the simplest way to quickly get started and reap the benefits of AI. Contact Center solutions have had AI in one form or another for some time now - with advancements in predictive analytics, natural language processing, machine learning, and large language models any business can transform CX and the bottom line (if done well). Now, Generative AI brings a whole new perspective and world of possibilities.

Virtual Agent Bot (Phone, SMS, Web Chat, Messaging)
AI-Driven Quality Management
Real-Time Agent Assist
Knowledge Base Interaction/Management with LLM
Robotic Process Automation (RPA) - Process Tasks Driven by CX Experiences
Data Analytics
Outbound Sales Campaign Management and Automation
Marketing and Messaging Campaign Management

2. Cybersecurity

Not only are cyberattacks more sophisticated than ever, but much like ransomware and malware kits a few years ago, AI hacking tools are starting to become available online. AI enabled and augmented security solutions are quickly becoming de facto.

AI and Cybersecurity Use Cases

LLMs to Conduct Code Reviews, Preventing Vulnerabilities (AWS)
Penetration Testing
Attack Identification
Rapid Response
Real-Time Network Traffic Analysis
Natural Language Interfaces for Configurable Resources (e.g., Firewalls)
Vulnerability Categorization/Prioritization
Automated Fixes/Patching
Incident Data Analysis
Biometrics Authentication Systems
Social Engineering Detection

3. Cloud Computing

Somewhat ironically it is cloud computing that helped enable and perpetuate this new AI "spring" we are experiencing. Cloud spend is expected to nearly double by 2027. Much of this spend will be driven by the growing demand for new AI-powered platforms and as-a-service offerings.

Clever AI tools and techniques will be needed just to keep up and optimize.

AI and Cloud Use Cases

AI needs a variety of resources (CPUs, GPUs, Storage) in and of itself
Optimized Scaling and Resource Allocation Based on Real-time Demand
Predictive Analytics for Proactive Allocation/Predictive Scaling
Automation - Resource Provisioning, Software Deployment, Config Mgmt, etc.
Application Performance Monitoring
Application Tuning and Optimization
Load Balancing/Dynamic Workload Scheduling
FinOps - Optimize Spending
Data Management - Warehousing, Pipelines, ETL
Robotics Process Automation (RPA)

4. The Internet of Things (IoT)

IoT is becoming ubiquitous in modern-day life. They say that by this time next year IoT devices will outnumber non-IoT devices (computer, tablets, mobile phones, etc.) by 3 to 1. That's a tremendous amount of data that needs to be turned into information. That is where AI comes in.

AIoT Use Cases

Computer Vision (Security, Quality Assurance, Safety Monitoring)
Sensors (Olfactory, Auditory, Pressure)
Predictive Health Analytics
Energy Consumption Analysis
Logistics Asset Tracking/
Route Optimization

Stay tuned as we dive in deeper with each of these four important AI applications and cases for businesses. Learn more about how to apply realistic and practical AI systems and solution in your business.

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About Cloud 9

At Cloud 9, we are deeply passionate about the transformative power of emerging technologies like AI and are committed to helping our clients harness its immense potential. We help clients leverage our unparalleled education, resources, and supplier guidance for cutting-edge AI technologies across CX, cybersecurity, cloud, mobility, IoT, and advanced networking. Our engineering and architecture staff are at the forefront of AI-driven business transformation, ready to guide you through identifying and seizing new AI opportunities to meet you most critical business challenges now and as your business evolves.

Proven Value