Welcome, fellow agent of innovation and progress.

This is your how-to manual for AI enhancement. Here we help create your map of executive goals and supporting activities and link them to your business’ value chain. When the time for automation and investment arrives, our resource database matches your unique needs to the best solution.

Get ready to ignite your AI journey with insights and innovations designed to elevate your executive prowess. Today, we delve into First Horizon Bank's AI-driven customer service revolution, explore Meta AI's groundbreaking Llama 3.1 release, and decode the power of Large Language Models. Discover actionable tools to supercharge your call center, tailor custom AI solutions for your business, and enhance supply chain management with precision.

In today’s Daily Spark

• First Horizon's AI Implementation in Call Centers

• TECH NEWS: Meta AI Unveils Llama 3.1

• TECH TERM: Large Language Model (LLM)

• Consult with an LLM to build an LLM

• Enhanced Supply Chain Management

• Custom LLM Advantages

Navigate AI News

NEWS
First Horizon's AI Implementation in Call Centers

Executive Brief: In an era where calling a bank can often feel like a dreaded task, First Horizon Bank is leveraging artificial intelligence to transform the customer service experience. First Horizon Bank has implemented an AI-driven system in partnership with Cisco Webex to enhance its call center operations. 92% of agents reported improved effectiveness on calls after receiving a reset.

AI Tools for Call Center Activities

💥Receive and route incoming customer calls
Dialpad Initial Contact Handling | Automated call routing and IVR system

💥Quickly determine the nature of the customer's problem
Gong: Issue Identification | Real-time call analysis and keyword detection

💥Provide agents with relevant information and suggestions
Zendesk Agent Assistance | AI-powered knowledge base and agent assistance

More tools for this activity»

TECH NEWS
Meta AI Unveils Llama 3.1, Redefining the AI Landscape

Executive Brief: Meta AI has revolutionized the artificial intelligence landscape with the release of Llama 3.1, a cutting-edge open-source model (LLM) boasting 405 billion parameters and surpassing proprietary counterparts in key benchmarks.

Business Impact: By offering an open-source approach, Meta allows companies to customize and optimize the model, potentially leading to millions of specialized LLMs that are unique to specific tasks, workflows, subjects, etc. CEO Mark Zuckerberg envisions Llama 3.1 to be used by more people than OpenAI's latest model by year-end. This strategic move challenges the dominance of proprietary AI models, promoting a more democratized AI landscape and fostering collaboration-driven innovation.

TECH TERM

Large Language Model (LLM)

Definition: Large Language Models (LLMs) play a crucial role in the AI tech stack, serving as a foundational layer for various applications and services. They are the backbone of Natural Language Processing (NLP), enabling tasks like language translation, sentiment analysis, and text summarization. LLMs power conversational AI interfaces, automate content generation and provide valuable insights into customer behavior.

AI INSTRUCTIONS

PROMPT WITH PURPOSE
Consult with an LLM to build an LLM

Copy and paste into ChatGPT, Meta AI, Claude, etc. Edit text to fit your specific case or to experiment for different results.

Executive Brief: A well-crafted prompt should specify the focus area and task, ensuring relevance and precision. It should direct attention to critical aspects like efficiency, accuracy, and customer satisfaction, and ask for consideration of broader business impacts such as sales and customer retention.

HUMAN SIDE OF AI
Enhanced Supply Chain Management

Executive Brief: AI-enhanced supply chain management tools offer significant benefits to businesses, improving various aspects of the value chain. By leveraging AI algorithms and data analysis, these tools enhance forecast accuracy, optimize inventory levels, and streamline logistics and production planning.

Evaluate each task below to identify where large datasets, predictive analysis, real-time data processing, and optimization can significantly improve accuracy, efficiency, and decision-making.

For a detailed look at these workflows and tools, click through to explore how AI can transform your retail sales operations.

VALUE CREATION
Custom LLM Advantages

Executive Brief: Custom LLM advantages stem from the tailored nature of custom LLMs, which are fine-tuned or built to address specific business needs, domains, or industries. Practical Examples:

• Retail: A custom LLM can analyze customer purchase history and preferences to recommend products, personalize marketing campaigns, and optimize inventory management.

• Healthcare: Custom LLMs can assist in diagnosing medical conditions, personalizing treatment plans, and managing patient records efficiently.

• Finance: In finance, custom LLMs can detect fraudulent transactions, automate customer service, and provide personalized financial advice.

You can experience the benefits of a custom model by fine-tuning a pre-trained model like GPT-3.5 on your specific dataset before making a large investment.

AI Platforms for Custom Models

💥End-to-end AI solution development, training, and deployment
NVIDIA NeMo AI model lifecycle management

💥Domain-specific AI application development
Google Cloud AI Platform: prompt engineering, retrieval augmented generation (RAG), and fine-tuning