AshfordCarterInternational.Com
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BUSINESS DEVELOPMENT
Ashford Carter International does business development using AI platforms.
Let us help you grow your business using these innovativative platforms.
Here, how…
AI can be a transformative force in business development and growth, acting as a powerful tool to automate tasks, glean actionable insights from data, and personalize interactions at scale. By integrating AI into various business functions, companies can improve efficiency, make smarter decisions, and ultimately drive revenue.
Here’s a breakdown of how Ashford Carter International & AI can help your business development and growth:
AI can process and analyze vast amounts of data from diverse sources—including news, social media, forums, and company websites—to provide real-time, data-driven insights that would be impossible to obtain manually.
Predictive Analytics: AI can analyze historical data and market trends to forecast future consumer behavior, helping businesses anticipate market needs and adjust their strategies proactively.
Competitor Intelligence: AI tools can continuously monitor competitor activity, including changes in pricing, product features, marketing campaigns, and customer sentiment. This helps you identify new opportunities and stay ahead of the competition.
Audience Insights: AI can analyze customer data, social media conversations, and online reviews to provide deep insights into consumer behavior, preferences, and sentiment. This helps you understand your target audience better and refine your marketing and product development strategies.
AI can streamline and supercharge the sales process, from identifying potential leads to nurturing them and closing deals.
Intelligent Lead Scoring: AI algorithms can analyze a prospect’s demographic and behavioral data to score the likelihood of conversion. This allows sales teams to prioritize high-value leads and focus their efforts on the most promising opportunities.
Personalized Outreach: AI tools can automate and personalize email, social media, and even voice outreach to engage prospects in a more meaningful way. This includes crafting personalized messages based on a prospect’s online activity or company information.
Automated Nurturing: AI-powered chatbots and virtual assistants can interact with leads around the clock, answering questions, providing information, and collecting details to qualify them before handing them off to a human sales representative.
Sales Forecasting: AI can analyze sales data to forecast future revenue, helping you set realistic goals and allocate resources effectively.
AI is revolutionizing how businesses attract, engage, and retain customers by enabling hyper-personalization and automation.
Hyper-Personalization: AI can analyze customer data to deliver personalized content, product recommendations, and offers in real-time. This dynamic personalization can significantly boost engagement and conversion rates.
Content Creation and Optimization: Generative AI can assist in creating a wide range of marketing content, including ad copy, email campaigns, blog posts, and social media captions. AI can also optimize content for search engines (SEO) by analyzing what is performing well and suggesting improvements.
Enhanced Customer Support: AI chatbots and virtual assistants provide instant, 24/7 customer support, resolving common inquiries and freeing up human agents to handle more complex issues. Sentiment analysis can also be used to gauge customer emotions from text and voice interactions, allowing businesses to address issues before they escalate.
Smarter Advertising: AI can optimize ad campaigns by analyzing user data to target the right audience at the right time with the right message, leading to a higher return on ad spend (ROAS).
AI goes beyond front-line business development to provide strategic insights and improve overall operational efficiency.
Process Automation: AI can automate repetitive and time-consuming tasks like data entry, scheduling, and report generation, allowing employees to focus on higher-value, strategic activities.
Strategic Planning: AI can serve as a “thought partner” by analyzing complex data, simulating different market scenarios, and identifying potential blind spots in a business’s strategy.
Data-Driven Insights: AI can make sense of vast and often unstructured data sets, providing clear, actionable insights that help leaders make informed decisions about everything from product development to resource allocation.
Experience a revolutionary leap into the world of O FARMING!
When people talk about “O Farming oil brokerage deals,” they’re generally referring to a model where individuals act as online intermediaries for oil transactions. This isn’t about traditional stock market trading or buying barrels of oil yourself. Instead, it’s about connecting buyers and sellers of physical petroleum products.
Here’s how it’s presented as working:
The core idea is to learn a specific method or “system” that helps you identify and facilitate these deals. Platforms like OFarming often offer training materials and guidance to teach you the ropes.
Your role as an “O Farmer” is to find a **buyer** who needs a specific type of oil (like crude oil, diesel, or jet fuel) and a **seller** who has it. You’re essentially the go-between, making the introduction and helping to smooth out the initial stages of the transaction.
To do this, you’ll learn about and use various **documents**. These are crucial in the oil business. You might deal with things like a **Non-Circumvention, Non-Disclosure (NCND) agreement**, which protects your involvement and commission, and a **Letter of Intent (LOI)**, which shows a buyer’s serious interest. You don’t usually create the final contracts, but you help get the parties to a point where they are ready for those.
Once the buyer and seller are connected and agree on terms, and the deal successfully closes, that’s when you earn your **commission**. This commission is your payment for bringing the parties together and facilitating the agreement.
The O Farming platform aims to provide the framework and support for you to make these commissions happen.
It’s described as part of the “arbitrage economy,” meaning you’re looking for opportunities where you can bridge a gap between someone who wants to buy and someone who wants to sell, profiting from that connection.
So, in simple steps, an O Farming oil brokerage deal usually looks like this:
First, you **learn the method** provided by the platform.
Then, you **identify a potential buyer and a potential seller**.
Next, you help with the **initial communication and paperwork**, such as exchanging LOIs or NCNDs, to get the deal moving.
Finally, when the buyer and seller complete their transaction, you **receive your commission**.
It’s important to remember that this approach focuses on facilitating direct deals for physical oil products, not trading on regulated exchanges.
ChatGPT is a highly popular and powerful generative AI chatbot developed by OpenAI.1 It is based on a type of AI model known as a Large Language Model (LLM).2 The “GPT” in its name stands for “Generative Pre-trained Transformer.”3
ChatGPT’s capabilities are a result of its complex underlying technology, which can be broken down into these core concepts:
Generative Pre-trained Transformer (GPT): This is the core technology.4 It’s a deep learning neural network, modeled loosely on the human brain, that uses a “transformer” architecture.5 This architecture is particularly good at understanding the context of words in a sequence, a key element for producing coherent text.6
Massive Training Data: The “pre-trained” part of its name is crucial.7 Before it ever interacts with a user, the model is trained on an immense dataset of text and code from the internet.8 This includes books, articles, websites, and more.9 Through this process, it learns the patterns of human language, grammar, and a vast amount of general knowledge.10
Predictive Text, on a Grand Scale: At its heart, ChatGPT works by predicting the next most likely word in a sentence, based on the words that came before it.11 This isn’t just a simple predictive text function like on your smartphone; it’s a highly sophisticated process that considers the entire context of the conversation to generate a coherent and relevant response, one word (or “token”) at a time.12
Reinforcement Learning with Human Feedback (RLHF): To make the model’s responses more helpful and conversational, OpenAI uses a technique called RLHF.13 Human trainers rate the quality of the model’s responses, and this feedback is used to fine-tune the model, guiding it toward more desirable and human-like answers.14
ChatGPT, and similar tools, can be a game-changer for business growth by automating tasks, improving efficiency, and unlocking new opportunities.15 Here’s how you can use it across your business:
1. Content Creation and Marketing
Generate Ideas: Overcome writer’s block by asking ChatGPT to brainstorm blog post topics, social media campaign ideas, or headlines for an ad.16
Draft Content: It can write first drafts of a wide range of content, from blog posts and articles to social media captions, email newsletters, and website copy.17 You provide the key points and tone, and it provides the structure and text.18
Optimize for SEO: Ask it to generate keywords for a topic, or to rewrite an article to be more SEO-friendly.19
Create Ad Copy: It can generate multiple versions of ad copy for A/B testing, helping you find the most effective messaging.20
Personalize Outreach: Provide details about a prospect’s company and your product, and ask ChatGPT to draft a personalized sales email or cold outreach message.21
Research: Get a quick summary of a target company’s recent news, market trends in their industry, or a competitor’s strategy.22 This saves time on manual research.23
Create Sales Materials: It can help you draft compelling sales presentations, pitches, and product descriptions.24
Automate Responses: You can use ChatGPT to create templates and scripts for customer service emails, chatbot responses, and FAQ pages.25
Enhance Chatbots: Its API can be integrated into your own customer service chatbot, allowing it to provide more human-like and helpful responses to common customer inquiries 24/7.26
Analyze Feedback: Paste in customer reviews or survey responses and ask ChatGPT to summarize the key themes, helping you identify what customers love or what areas need improvement.27
Draft Communications: Quickly write internal memos, company-wide announcements, meeting agendas, and training materials.28
Summarize Documents: Need to get the gist of a long report or article? Paste the text into ChatGPT and ask for a concise summary.29
Simplify Complex Topics: Ask it to explain a complex technical concept or a dense legal document in simple, easy-to-understand language.30
Coding and IT: ChatGPT can help with a wide range of coding tasks, from writing simple scripts and debugging code to explaining what a piece of code does.31
By strategically implementing ChatGPT, businesses can free up their teams from tedious, repetitive tasks, allowing them to focus on high-impact, creative, and strategic work that drives real growth.32
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Let’s talk about “innovative AI.”
Innovative AI isn’t a specific type of AI like machine learning or natural language processing. It refers to using existing or new AI technologies in very creative, powerful, or original ways to solve tough problems, open up new possibilities, or make big leaps forward.
It’s about how AI is applied to drive innovation. This means using AI algorithms, large language models, computer vision, robots, and other AI methods to:
Generate fresh ideas. AI can look at huge amounts of data and find patterns, connections, or gaps that people might miss.
Speed up research and development. AI can quickly process and understand data, run simulations, and test theories, which dramatically shortens how long it takes to innovate in areas like drug discovery or product design.
Make better decisions. By analyzing complex data, AI can offer insights, predictions, and recommendations that lead to smarter choices in business plans or scientific research.
Automate and improve processes. Beyond just simple automation, innovative AI can create systems that learn and get better over time, leading to much more efficiency and new ways of operating.
Create new products and services. AI can be built into new products or services, giving them abilities that weren’t possible before, like personalized learning apps or smart robots.
So, innovative AI is about pushing the boundaries of what AI can do and how it can be used to bring about major changes.
Innovative AI works by combining different AI techniques and often using massive amounts of data.
Here are the basic principles:
Data is the fuel. AI systems learn and get better by processing huge amounts of data. Innovative AI often uses new kinds of data or finds new ways to understand existing data.
Smart algorithms. It relies on advanced algorithms, like deep learning neural networks or reinforcement learning, that can find complex patterns, make predictions, and even create new content.
Learning and adapting. Unlike regular computer programs that follow fixed rules, innovative AI systems are designed to learn from experience and change their behavior over time, constantly improving.
Specialized models. While there are general AI models, innovative AI often involves creating very specific models for particular problems or industries. An AI for finding new drugs will be very different from one for writing creatively.
Often, a human is involved. Even though AI can automate tasks, innovative AI often works best when it teams up with people. It can be like a “copilot” or “thinking partner,” making human abilities stronger. Humans provide context, creativity, ethical guidance, and strategic direction, while AI handles the heavy lifting of data analysis and quick improvements.
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Will It Replace People or Limit the Numbers of People Working?
This is one of the most discussed and complicated questions about AI.
Many experts believe that innovative AI will mostly change jobs and how work is done, rather than causing a lot of people to lose their jobs, though some roles will definitely disappear.
Here’s how it’s likely to affect jobs:
AI will automate tasks, not whole jobs. AI is great at doing tasks that are repetitive, routine, involve a lot of data, and are predictable. These are the tasks most likely to be automated. Most jobs aren’t made up entirely of these kinds of tasks. They usually involve a mix of routine and non-routine, creative, or people-focused tasks.
Jobs will change and get help from AI. For most jobs, AI will be a tool that makes people’s abilities stronger. It will free up workers from boring tasks, letting them focus on more valuable activities that need human skills like:
Creativity and new ideas.
Thinking critically and solving complex problems.
Emotional intelligence and people skills.
Being able to adapt and keep learning new things.
AI can make workers more productive and effective in their roles. For example, a doctor might use AI to diagnose illnesses faster, or a marketer might use it to analyze vast amounts of customer data.
Some jobs will disappear. Yes, some jobs will be replaced. Roles that are very repetitive, involve a lot of data, and don’t need much human judgment or interaction are most at risk.
Examples often mentioned include certain types of data entry, basic customer service (like chatbots), routine accounting, and some factory assembly line jobs.
Estimates vary, but some reports suggest that a large percentage of tasks within current jobs could be automated, leading to changes in job descriptions.
New jobs will be created. AI will also create completely new jobs that don’t exist today.
These roles will often be centered around:
Developing and maintaining AI: AI engineers, machine learning scientists, data scientists, AI ethicists.
Working with AI: Roles that involve overseeing AI systems, understanding what AI outputs mean, and fitting AI into work processes.
Roles needing unique human skills: As AI handles the routine stuff, human skills will become even more valuable, leading to demand for roles focused on strategy, creativity, and connecting with people.
The likely future is a “new balance” in the job market where:
The number of people working might not drop sharply, but the kind of work they do will change a lot.
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There will be a greater need for training people to learn new skills and adapt to AI tools and new job requirements.
Societies will need to deal with the challenges of jobs disappearing in certain areas and make sure affected workers get a fair transition.
In short, innovative AI is a powerful force for change, not just in technology but in society and the economy. It’s less about fully replacing people and more about redefining human roles, making people more productive, and creating new ways to work and innovate.