The A-Z of Generative AI and ChatGPT - Chapter B

If you are not using AI already, you are falling behind and you may not know it.? AI skills are forecast to be the most highly-demanded skills of the next decade and you need to start learning now.

Welcome to the A-Z of Generative AI where each week I will give you an explanation of every aspect of this exciting new technology beginning with the letter A and ending with the letter Z.?You will learn all there is to know about Generative AI in this series to rapidly level up your job prospects, your productivity, and your business.

Each article will clearly explain Generative AI terms so you can master this hot technology.? You will go from ZERO to HERO in a matter of weeks catapulting your knowledge and job prospects into a whole new stratosphere.

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Generative AI, a subset of AI, has generated more interest than the launch of the iPhone and the World Wide Web combined in a much shorter time. For example, it took ChatGPT less than 5 five days to get a million users and reached 100 million users just two months after launching.

Why is Generative AI causing such excitement?

Because of its transformative potential.

We are entering a new era of software and business - Intelligence 2.0 - where Generative AI's capabilities and applications are limited only to our imaginations.?If you can think it and describe then Generative AI can (or will) be able to create it.

This 'super power' makes practical implications and applications of Generative AI are exciting the business world. It has immense potential to revolutionize any field where creativity and innovation are key which is a very different business shift than ever before.

Now that is exciting.

"The fundamental point to understand about Generative AI is that it provides each of us with an infinite army of virtual interns, at our beck and call, day or night, anywhere. It affords us the luxury of having not just ‘access to all the worlds information’ (a la the original aim of Google) but endless help in searching, parsing, analysing, synthesising and learning from it. We have been graced with ‘superpowers’."

Antony Slumbers

Over the next decade, AI will be a mega-trend, transforming industries, companies, and the way we live and work, as generative AI transforms 40% of all working hours

Paul Daugherty , group chief executive, Accenture Technology

A digital revolution was already underway. Now this has been hyper turbocharged with the release of Generative AI. We no longer need to be data or computer scientists to change the world. Generative AI has changed the very nature of how businesses operate and deliver value. What ChatGPT can enable will be greater than any existing software produced to date.

As the technology becomes more sophisticated, it will be able to automate and augment many of the tasks currently done by humans, resulting in massive disruption to roles, organizations and economies in a way we have not witnessed since the industrial revolution. And this means exponential - not linear - returns for businesses that really dive into Generative AI.

‘I knew I had just seen the most important advance in technology since the graphical user interface.’ Bill Gates upon seeing ChatGPT

Does everyone think the Generative AI will be huge or is there a feeling that this is a hype curve? Well it really depends on who you listen to.

For example, the 2023 Gartner Hype Cycle for Artificial Intelligence (AI) highlights Generative AI at the peak of inflated expectations.

Generative AI is dominating discussions on AI, having increased productivity for developers and knowledge workers in very real ways, using systems like ChatGPT. And lots of people and media outlets are talking about it, but - no everyone is aware of this technology nor are many aware of they might use it to transform their business, resource and technology architectures. I suspect we have a way to go before the peak of inflated expectations has been reached.

The long-term implications of this technology are yet to reveal themselves but they will be significant. For example, McKinsey has predicted that AI could add up to $4.4 TRILLION to the global economy. Time will tell if that number is big enough as Generative AI will be capable of doing almost anything over time.

Make no mistake, we have entered an exciting and tumultuous era of exponential technology, business architecture and AI innovation. Where we work, and how we work, will change because the work we do will is changing with AI exponentially accelerating that change. We have reached a major junction in time - we are at ground zero today - and businesses need to commit hard and fast for the long term.

“The development of AI is as fundamental as the creation of the microprocessor, the personal computer, the Internet, and the mobile phone,” he wrote. “It will change the way people work, learn, travel, get health care, and communicate with each other.” Bill Gates

Governments, industries, businesses, and workers that rapidly adapt to this brave new AI world will thrive. But first humanity needs to change.

We need to urgently develop and enhance our people skills in ways that machines cannot replicate - empathy, intuition, critical thinking, adaptability, emotional and social intelligence - and learn to use AI technology to catalyse them to remain employable.

Those that don't, simply will not survive - Digital Darwinism.

AI won't take your job, but someone who knows how to use AI surely will.

Keen to learn more? Then keep reading.

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Whilst Generative AI is a subset of Artificial Intelligence it is important to recognise that there are capability differences. In order to gain a comprehensive understanding of the distinct capabilities of non-generative and Generative AI, it is imperative to clarify their respective functions. While both types can be synergistically employed, they inherently serve different purposes.

Non-generative AI, which has predominantly found application in the business landscape thus far, is endowed with the following key capabilities:

• Machine Learning: This entails deploying algorithms that harness statistical methods to identify patterns within vast volumes of data encompassing numerical, textual, visual, or digital information. Once trained, this technology forms the bedrock of what we term as "Prediction Machines."

• Natural Language Processing (NLP): This empowers machines to read and comprehend human language, enabling seamless interaction with textual content.

• Computer Vision: Non-generative AI possesses the ability to decipher the contents of images and videos, enabling automated understanding of visual data.

• Robotic Process Automation (RPA): By automating repetitive tasks like data entry, transaction processing, and even more intricate activities such as auditing and compliance reporting, RPA streamlines operational efficiency.

Conversely, Generative AI exhibits the following key capabilities:

• Text Generation: Leveraging patterns and structures extracted from input data, Generative AI is proficient in generating diverse content, spanning from essays, reports, and presentations to poetry and movie scripts. It excels in simulating lifelike chat conversations.

• Text Understanding: Beyond textual generation, Generative AI excels in classifying, editing, summarizing, and answering questions related to text-based content.

• Image Generation: Proficient in creating entirely novel images or modifying existing ones, Generative AI showcases its prowess in generating human-like faces, designing graphic elements, or crafting scenes for video games.

• Music and Sound Generation: Capitalizing on learned patterns and structures from its training data, Generative AI can compose original music or sounds.

• Predictive Modelling: By simulating scenarios or predicting outcomes based on extensive datasets, Generative AI distinguishes itself from traditional predictive models. It generates a comprehensive set of plausible data or outcomes, surpassing the limitations of single-point predictions.

• Prescriptive Analytics: Representing the pinnacle of AI capabilities, Prescriptive Analytics extends the purview of Generative AI even further. This advanced capability goes beyond predicting outcomes or generating data samples. Prescriptive Analytics empowers decision-makers to prescribe the best course of action by evaluating various scenarios and recommending optimal solutions. By amalgamating the strengths of Generative AI and the predictive power of advanced analytics, Prescriptive Analytics enables businesses to achieve a proactive approach to problem-solving, ushering in an era of unprecedented efficiency and competitiveness in the dynamic landscape of today's business world.

Non-generative and Generative AI are different capabilities but when combined they are very powerful indeed. By discerning the unique attributes of each AI category, organizations can effectively harness their combined potential to unlock innovative and transformative solutions for business.

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1. Generative AI (Artificial Intelligence) ???

Generative AI, an advanced form of Artificial Intelligence, is akin to an ingenious artist who can create unique masterpieces without human intervention.

It focuses on creating new content, such as images, text, music, and more, by learning patterns and styles from existing data.

For example, imagine a fashion retailer wanting to design new clothing collections. With Generative AI, an AI model can study the company's previous designs, customer preferences, and fashion trends to generate fresh and innovative clothing concepts, provide inspiration for a design team and potentially increasing sales.

Example prompt: "Construct a Generative AI model for a fashion retailer aimed at designing innovative clothing collections. The model should analyze the company's past designs, customer feedback, and current fashion trends to synthesize new fashion concepts. It must capture the essence of the brand's style while infusing current trends and customer preferences. The AI's output should serve as creative inspiration for the design team, aiding in the creation of a clothing line that resonates with consumers and has the potential to drive sales. The model should be capable of iterating designs based on the team's feedback, continually enhancing the relevance and appeal of the concepts it generates."

2. Biometrics in Generative AI ???

Biometrics in Generative AI involves recognizing and understanding distinctive human characteristics, such as fingerprints, facial features, and voice patterns, to create personalized and secure content.

For example, a financial institution implements Generative AI to improve customer service. By analysing biometric data, the AI system can generate personalized responses to customer inquiries, ensuring secure interactions and enhancing the overall customer experience.

Example prompt: "Develop a Generative AI system for a financial institution that utilizes biometric data for improving customer service. The AI should be capable of analysing unique customer biometrics, such as voice patterns or facial features, to authenticate and personalize interactions. Upon verification, the system generates customized responses to customer inquiries, aligning with their specific needs and transaction history. This approach aims to bolster security measures, preventing unauthorized access while offering a more tailored and engaging customer experience. The AI should continuously adapt and refine its response mechanism based on ongoing interactions, ensuring the system remains dynamic and effective."

3. Blockchain and Generative AI Integration ???

Combining the power of Blockchain and Generative AI can lead to a transparent and trustworthy content-generation process.

Blockchain ensures data integrity and traceability, while Generative AI generates content with efficiency and creativity.

For example, an online news platform could utilize Blockchain and Generative AI to create 'trustworthy' news articles. The AI generates drafts, which are verified and recorded on the Blockchain by journalists, ensuring the accuracy and authenticity of the news content.

Example prompt: "Integrate Blockchain and Generative AI technologies to establish a reliable and efficient news content creation process for an online news platform. The Generative AI should be tasked with producing initial drafts of news articles, focusing on efficiency, creativity, and adherence to journalistic standards. Once these drafts are generated, human journalists will review, verify, and possibly modify the content to ensure factual accuracy and editorial integrity. Each step of this process, from initial AI generation to final journalist approval, should be recorded and timestamped on a Blockchain. This integration will provide a transparent audit trail, enhancing the trustworthiness of the news articles by allowing readers to track the evolution of each story and the involvement of AI and human inputs."

4. Brain-Computer Interface and Generative AI Collaboration ???

Incorporating Brain-Computer Interface (BCI) with Generative AI opens new possibilities for content creation driven directly by human thoughts and emotions. BCI captures brain signals, enabling users to interact with AI systems intuitively.

For example, a gaming company explores BCI and Generative AI collaboration to design interactive game environments. Players can use their thoughts and emotions to influence the game's virtual world, making the gaming experience more immersive, personal and enjoyable.

Example prompt: "Develop a collaborative system between Brain-Computer Interface (BCI) and Generative AI for a gaming company, aimed at creating highly interactive and personalized gaming environments. This system should enable players to directly influence and interact with the game's virtual world using their thoughts and emotions, captured through BCI technology. The Generative AI component will interpret these brain signals to modify game scenarios, environments, or characters in real-time, reflecting the player's mental and emotional state. This innovative approach aims to make gaming experiences more immersive, intuitive, and uniquely tailored to each player, enhancing their engagement and enjoyment."

5. Bayesian Optimization for Hyperparameter Tuning ???

Bayesian Optimization is an intelligent technique used with Generative AI to fine-tune model parameters efficiently.

It leverages past evaluations to make informed decisions about which parameters to explore next, resulting in faster and more accurate model optimization.

For example, a healthcare company uses Bayesian Optimization with Generative AI to improve disease prediction models. The AI system efficiently searches for the best model configurations, leading to enhanced diagnostic accuracy, faster and better patient care.

Example prompt: "Implement Bayesian Optimization in conjunction with Generative AI for a healthcare company to refine and enhance disease prediction models. This technique should be applied to intelligently and efficiently tune the parameters of the AI models. By utilizing information from previous evaluations, the Bayesian Optimization process will guide the AI system in selecting the most promising model configurations to explore next. This approach aims to accelerate the optimization process, leading to improved diagnostic accuracy in disease prediction. The end goal is to enable faster, more precise patient care by providing healthcare professionals with highly reliable predictive tools."

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6. Big Data and Generative AI Fusion ???

The fusion of Big Data and Generative AI enables AI systems to learn from vast amounts of information and generate more meaningful and contextually relevant content.

For example, an online advertising agency utilizes Big Data and Generative AI to create personalized ad copies. The AI system processes massive datasets, including user behaviour, preferences, and demographics, to generate hyper-targeted and persuasive advertisements.

Example prompt: "Combine Big Data with Generative AI at an online advertising agency to enhance the creation of personalized ad copies. The AI system should be designed to analyse extensive datasets encompassing user behaviour, preferences, and demographic information. This comprehensive analysis will enable the AI to generate hyper-targeted, contextually relevant, and persuasive advertisements. The goal is to produce ad content that resonates deeply with each user segment, increasing engagement and conversion rates. This approach leverages the vast amounts of available data to inform and guide the AI in crafting highly effective advertising strategies tailored to individual user profiles."

7. Biomimicry and Generative AI Biomimicry ???

Generative AI Biomimicry draws inspiration from nature to create innovative and efficient solutions. It imitates natural processes and structures to design novel content and solve complex problems.

For example, an architecture firm incorporates Biomimicry and Generative AI to design energy-efficient buildings. By studying natural ecosystems, the AI can generate building designs that optimize energy consumption and blend with the environment.

Example prompt: "ChatGPT, practice Generative AI Biomimicry to develop a series of packaging designs for our products. Emulate nature's efficiency to create sustainable and visually appealing packaging solutions."

If you would like over 60 FREE Generative AI resources, then add your email address to this post and then ?? repost this article.

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Some of the best Generative AI articles from some of the best sources on the internet.

• Deloitte Digital Ensuring a human-centered approach to A I
• Forbes Eight Months On, Tech Budget Planners Are Fixated On Generative AI
• Generative AI and Public Secto r - Denny Morais and Kieran Gilmurray
• ERP Today?Generative AI for the enterprise ?-?Pascal BORNET ?and?Kieran Gilmurray ?

Every single role you can think of will be impacted by Generative AI. In fact understanding how to interact with ChatGPT will soon be an essential key skill.?

Below are 5 roles that begin with the letter B with an example prompt each massively boosting role productivity.

Business Analyst. Business analysts are professionals who analyse and assess business processes to improve efficiency.

• Prompt: Analyse the current sales data and identify patterns to propose strategies for increasing revenue in the next quarter.
• Prompt: Develop a workflow diagram to streamline the order processing system and reduce turnaround time.

Brand Manager. Develop and execute effective brand strategies.

• Prompt: Conduct a market analysis to identify emerging trends and propose new product features to align with customer preferences.
• Prompt: Plan and execute a brand awareness campaign across multiple channels to reach a wider audience.

Business Intelligence Analyst. Business intelligence Analysts gather and analyse data to gain insights.

• Prompt: Create a dashboard with key performance indicators to track marketing campaign effectiveness in real-time.
• Prompt: Analyse customer feedback data to identify areas of improvement for product development and customer support.

Banking Relationship Manager. Banking relationship managers grow relationships with clients to develop the depth of the banks book of business.

• Prompt: Develop personalized financial plans for high-net-worth clients, addressing their financial goals and risk tolerance.
• Prompt: Organize a client appreciation event to strengthen relationships and gather feedback on banking services.

Business Development Executive. Business development executives focus on and identify new business opportunities.

• Prompt: Identify potential partnership opportunities with other companies and prepare a proposal outlining the benefits of collaboration.
• Prompt: Conduct a competitive analysis to identify market gaps and propose strategies to gain a competitive edge.

By using these prompts, professionals in each role can engage in tasks that augment their skills and expertise, leading to improved productivity and success in their respective careers.

You may not lose your role to Generative AI but you will lose it to someone who knows how to use $20 a month AI.

ChatGPT can write emails, create content and check your content for grammar, spelling, style and writing style making you a copywriting super human.

For example.

Proof read this '[add text here]'. Fix my spelling and grammar mistakes. Make suggestions to make my writing clearer and easier to understand by CIOs, CTOs, CFOs and CEOs who are not technical. The writing style should be informal but always professional.

Want to to learn more about Intelligent Automation, RPA, Data Analytics, Artificial Intelligence and Generative AI?

Then book a?FREE 30 minute introductory call ?so we can discuss your specific business needs today -?click here. ?

Who am I?

I am a senior executive with 28+ years of experience leading digital programs?and the author of the book “The A-Z of Organizational Digital Transformation.”?I have been a director, board member, research fellow, and advisor to multiple international companies.

Please find me?on social LinkedIn ?|?Kieran Gilmurray ?|?Twitter ?|?YouTube

I am regularly ranked as one of the top global experts in Artificial Intelligence, Intelligent Automation, Data Analytics, Brand Influence, and Business Technology Innovation and have won multiple international awards, including:

??Top 14 people to follow in data in 2023

??Top 20 Data Pros you NEED to follow?

??World's Top 200 Business and Technology Innovators??

??Global Automation Award?Winner

??Top 50 Intelligent Automation Influencers??

??Top 50 Brand Ambassadors??

I am an hugely experienced data science leader who has lead teams of PHDs, data analysts, data engineers, and database administrators for many years, creating one of the few genuine Decision Intelligence companies to date along the way.

But don't just take my word for it.

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'Kieran is an exceptional technologist, automation expert, and skilled at AI, Data Analytics, and Decision Insight. His business and technical knowledge are second to none. If you or your business want to achieve your goals, then connect with Kieran'

Pascal Bornet. Top Voice in Tech, Best Selling Author, AI & Automation Expert and Forbes Technology Council Member?

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