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.
I will also give you a MASSIVE bonus offer for FREE i.e., 60+ of the very best Generative AI articles, images, and research topics on the planet. Each has been carefully selected and curated for your benefit.
And that is not all. I will also provide you with example prompts to hyperscale your productivity.
And give you links to the very best consulting companies’ articles on Generative AI for FREE as well.
And I will also give you my and other experts’ perspectives on how Generative AI will fundamentally change the world of work as you know it.
Don’t miss out. Grab a lifetime of learning in the fastest time possible and start reading.
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’.”
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.”
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.
Need consulting help to understand Generative AI and how it smashes everything you knew about business to date ❓
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.
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.
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.
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.
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.
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.
This article is sponsored by Virtual Operations the Navy Seals of Intelligent Automation. Virtual Operations is a world leading process automation specialist. To date, they’ve added more than $1.6 billion in value to the client organisations they’ve worked with.
Virtual Operations work with organisations globally to help them build, support, maintain and grow their automated processes. Established in 2013, THEY have worked on projects in multiple industries across 23 countries, and today count a number of Fortune 100 businesses as clients.
Virtual Operations work with a range of technologies including Intelligent Automation, AI, Data Analytics and Cloud Management, always with a focus on delivering tangible outcomes when designing solutions.
Clients typically generate over 100% return on investment when they work with Virtual Operations.
Virtual Operations encourage their clients to think big, be creative and move fast.
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.
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.
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.
Once you have done that I will share a link to 60-plus documents and images that have been specifically curated to get you from AI ZERO to HERO in no time at all.
Some of the best Generative AI articles from some of the best sources on the internet.
- Deloitte Digital Ensuring a human-centered approach to AI
- Forbes Eight Months On, Tech Budget Planners Are Fixated On Generative AI
- Generative AI and Public Sector – 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.