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LARGE LANGUAGE MODEL IN SERVICES
Evolution from Theory to Practice
Presented by :
Mohamed Elharthy - Digital Consultant
EVOLUTION FROM
THEORY TO PRACTICE
Large language model for public services
THE APPLICATION OF LARGE LANGUAGE MODELS IN BUSINESS
IS TRANSFORMING THE WAY ORGANIZATIONS OPERATE AND
ENGAGE WITH CUSTOMERS
From enhancing customer support to streamlining
content creation, these models are seemingly
becoming indispensable tools for modern
businesses. In fields ranging from healthcare and
finance to education, marketing, and law, these
models are transforming the way businesses
function and engage with their customers
LLM excel in processing and generating human
language. This makes them valuable for a wide
range of natural language processing (NLP)
applications in business. They can automate
customer support through chatbots, analyze
customer feedback sentiment, and even generate
content for marketing and advertising
ENHANCED COMMUNICATION AND CUSTOMER SERVICE
PERSONALIZATION
These models can be used to personalize user
experiences. In e-commerce, for example, they
can recommend products based on
a user’s browsing and purchase history. Similarly,
in content delivery platforms they can recommend
articles, videos, or courses tailored to a user’s
.interests
Large language model for public services
Large language model for public services
Generating high-quality, relevant marketing
materials such as blog posts, social media updates,
and email campaigns. • Helping companies gauge
public opinion and assess the success of their
.marketing efforts using sentiment analysis
MARKETING
Large language model for public services
Large language model for public services
Large language model for public services
Galaxy.AI
Galaxy.AI
Galaxy.AI
REVOLUTIONIZING CUSTOMER SERVICE
HOW LARGE LANGUAGE MODELS ARE TRANSFORMING THE INDUSTRY
IMPROVING CUSTOMER INTERACTIONS
One of the major ways LLMs are altering the
customer service business is through improved
customer interactions. These models are able to
comprehend and reply to customer concerns in
a more natural and human-like way. Customers
may now have interactions with AI that feel like
they’re talking to a real person, rather than
receiving mechanical, pre-scripted responses.
SENTIMENT ANALYSIS AND FEEDBACK INTERPRETATION
LLMs can assess sentiment and comprehend consumer
perceptions about a product, service, or overall brand by
sorting through customer feedback, reviews, social media
comments, and more. Businesses are able to improve their
offerings and customer service by spotting patterns,
addressing concerns, and analyzing customer sentiment.
Additionally, they can also identify potential advocates or
detractors, helping them create targeted engagement
strategies. This level of personalization can foster stronger
customer loyalty and potentially drive increased sales.
COST EFFICIENCY
Large Language Models can handle a high
amount of questions at the same time,
eliminating the need for a large customer
support team. This cost-effective solution not
only reduces operational costs but also
improves efficiency. Businesses can more
strategically allocate resources, focusing on
areas that demand human involvement while
delegating routine questions to LLMs.
ARTIFICIAL INTELLIGENCE THREATS
IN IDENTITY MANAGEMENT
Large language model for public services
Large language model for public services
THANKS

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Large language model for public services

  • 1. LARGE LANGUAGE MODEL IN SERVICES Evolution from Theory to Practice Presented by : Mohamed Elharthy - Digital Consultant
  • 4. THE APPLICATION OF LARGE LANGUAGE MODELS IN BUSINESS IS TRANSFORMING THE WAY ORGANIZATIONS OPERATE AND ENGAGE WITH CUSTOMERS From enhancing customer support to streamlining content creation, these models are seemingly becoming indispensable tools for modern businesses. In fields ranging from healthcare and finance to education, marketing, and law, these models are transforming the way businesses function and engage with their customers
  • 5. LLM excel in processing and generating human language. This makes them valuable for a wide range of natural language processing (NLP) applications in business. They can automate customer support through chatbots, analyze customer feedback sentiment, and even generate content for marketing and advertising ENHANCED COMMUNICATION AND CUSTOMER SERVICE
  • 6. PERSONALIZATION These models can be used to personalize user experiences. In e-commerce, for example, they can recommend products based on a user’s browsing and purchase history. Similarly, in content delivery platforms they can recommend articles, videos, or courses tailored to a user’s .interests
  • 9. Generating high-quality, relevant marketing materials such as blog posts, social media updates, and email campaigns. • Helping companies gauge public opinion and assess the success of their .marketing efforts using sentiment analysis MARKETING
  • 16. REVOLUTIONIZING CUSTOMER SERVICE HOW LARGE LANGUAGE MODELS ARE TRANSFORMING THE INDUSTRY
  • 17. IMPROVING CUSTOMER INTERACTIONS One of the major ways LLMs are altering the customer service business is through improved customer interactions. These models are able to comprehend and reply to customer concerns in a more natural and human-like way. Customers may now have interactions with AI that feel like they’re talking to a real person, rather than receiving mechanical, pre-scripted responses.
  • 18. SENTIMENT ANALYSIS AND FEEDBACK INTERPRETATION LLMs can assess sentiment and comprehend consumer perceptions about a product, service, or overall brand by sorting through customer feedback, reviews, social media comments, and more. Businesses are able to improve their offerings and customer service by spotting patterns, addressing concerns, and analyzing customer sentiment. Additionally, they can also identify potential advocates or detractors, helping them create targeted engagement strategies. This level of personalization can foster stronger customer loyalty and potentially drive increased sales.
  • 19. COST EFFICIENCY Large Language Models can handle a high amount of questions at the same time, eliminating the need for a large customer support team. This cost-effective solution not only reduces operational costs but also improves efficiency. Businesses can more strategically allocate resources, focusing on areas that demand human involvement while delegating routine questions to LLMs.
  • 20. ARTIFICIAL INTELLIGENCE THREATS IN IDENTITY MANAGEMENT