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AI for Business in 2024, Part 1: The Basics

Written by Eric Rose

Humble Roots and Fast Learning — 2015 to 2023

Generative Pre-trained Transformer, or GPT, started in 2015 with GPT-1 based on some 117 million parameters, now in version 4 which uses trillions of parameters, is an advanced form of artificial intelligence created by OpenAI, a research company started by Elon Musk and others.

OpenAI had 2022 revenues of $10 million, which are now projected to reach $1 billion by next year.  GPT groups language models capable of learning various techniques generative of human-like language.  As always, under the old GIGO programmable dictum (Garbage-In, Garbage-Out), its accuracy depends  on the relevant text sources.  

Everyone Is Now a Poet

Everyone from school children to investment bankers are now leveraging the capabilities of this Large Language Model (LLM). The current version GPT-4 recognizes multimedia, in addition to text, has improved performance and accuracy by more than 40% over its previous version, and deals with complex prompts while materially reducing inaccuracies.  This multimodal version, which through its improved learning understands and interprets images, has now the capability to comprehend conversation and write scripts (processing up-to 25,000 input words), while learning an author’s writing style, to summarize texts, as well as to composes melodies.  

Some of its revolutionary features rest in its capability to conduct translations (it can comprehend and generate text in 26 languages), to analyze sentiment, to interpret and analyze images as text, to create responses up-to 25,000 words, and to undertake significant programming which aids the human programmer with task simplification.

A specific use of GPT is ChatGPT, which is designed to produce text used in speech or writings on a variety of topics.  ChatGPT is trained by humans, and communicates in real time with individuals based on a context-rich GPT base of information.  

Hundreds of millions of users of GPT-4 are now using its newest version, CHATGPT+.  This version will soon allow users to direct GPT-4 to specific tasks though its system message.  For example, GPT-4 can create original essays and poems by building sometimes complex plots with unique characters in truly coherent narratives.

Last month, OpenAI announced that its newest release of yhe DALL-E image generator, DALL-E 3, can produce extremely detailed images, including those of human hands, numbers and letters. This technology will be added to CHATGPT+ by the end of the year, thus consolidating OpenAI’s generative AI presence by incorporating, in one chat box, the capability to produce text and images, software and sounds, as well as all sorts of other digital media. OpenAI is not alone in this creative AI environment, as GOOGLE had released an updated version of its BARD generative AI software, which is being integrated with its other software solutions (e.g. Docs, Gmail, YouRube, etc.). Mifjourney and Stable Diffusion have also released similar updates earlier this year. Collectively, these various solutions ease the creation of integrated art, text and graphics with other media.

ChatGPT Accelerates Business

In business, GPT-4 is creating a whole new environment in data management, privacy and cross-entity collaboration, which will revolutionize the required skill-set of the workforce, while also creating new ethics challenges.  Business leaders can now test KPI (Key Performace Indicators, or “Smart KPIs”) assumptions for accuracy, detail and predictive opportunities, with improved metrics and measurement metrics.  

Using the proper database, these Smart KPIs can help in preparing accurate predictions, forecasts and offer suggestive measures for improved actions through strategic alignment.  Data-driven decisions using AI allow the prioritizing of KPIs based on throughput factors, such as productivity, transportation and warehousing.  

Your business, thus, can develop multiple AI digital models across its value chain which can test which factors will bring the best returns to the company.  For example, bundled KPIs can include customer engagement, employee productivity, profit margins, market share, quality manufacturing, proactive services and improved ROI.  In many cases, AI allows for counterintuitive metrics to be revenue-makers in both the short and long-runs.  Ultimately, these improvements will create not only a better profitability structure, but also result in increased customer satisfaction.

For example, in sales and marketing, GPT-4 can be very useful in generating campaigns targeted to the intended client audience, while enhancing research and allowing copywriters to streamline their content and produce relevant articles in a timely manner.  CHATGPT+ allows the user to understand and generate responses in some 26 languages.  The 24/7 availability of ChatBots through NLP (Natural Language Processing) may, by the end of 2024, handle 85% of customer-service contracts in a $27 billion market, producing cost-savings over human interaction, create business leads, collective brainstorming support and accelerated time to market.  

At the same time, by deploying AI-based solutions, a company can also bring profitability into the complex KPI grouping, by optimizing available functions at the same time.  With AI, leaders can align market-share KPIs with margin KPIs, and transparently suggest the required investments to maximize returns in a balanced, company-wide strategic effort.

Next in Part 2 we focus on the niche business area of M&A, and the current challenges of executing transactions.


Parkwood consultants bring dozens of years of business and legal acumen across the globe into comprehensive solutions. Contact us to support your M&A and Business Development needs.

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  • Eric Cellu Rose
  • Nina L. Dunn

 

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