Future Ready Digital & AI Digest Vol. 2?№2
Jim Hamill (Dr)
Director at Future Ready Toolkits - supporting organisations become future ready for an increasingly volatile and digital world.
Welcome to our second Digest for 2024 keeping you up-to-date with the latest research and thinking on building future ready organisations. Please subscribe to receive notifications of future?Digests.
In this?edition:
It’s shaping up that way already. Time to revisit Das Kapital. “At the heart of this challenge is the inherent tendency of capitalist economies to favour capital owners. In the context of AI, this means that tech giants and those with control over AI infrastructures stand to gain disproportionately, potentially ushering in an era of “wild capitalism” marked by stark inequalities, dwindling job security, and a concentration of power among a select few.”
In a recent paper, futurist Frank Diana presented highly optimistic predictions concerning the potential impact of AI on jobs and employment. It is not that difficult to present an alternative dystopian scenario where the future of work is reshaped by AI in more negative ways, fundamentally altering the employment landscape, worker rights, and social structures.
“Fear of change is natural, but it regularly passes with time. ChatGPT may finally be the impetus that brings about long overdue changes in education, transforming it from a system that revolves around memorizing and regurgitating facts to one that teaches logic, reasoning, and critical thinking. Education often treats students like robots instead of humans. Instead maybe we should leave the robotic work to AI.”
With the market for horizontal AI already controlled by oligarchs, is vertical AI the way forward now?
I suspect we will see a rapid shift in this direction?—?towards enterprise based Gen AI.
Is the OpenAI GPT-4 platform the new Sentiment Analysis Tool?
Why prompt engineering will never be a dream job. “Don’t get me wrong. The quality of Gen AI outputs strongly depends on the inputs. Learning how to use and interact with these complex models is becoming an important skill for almost everyone. There are increasing number of scientific studies that suggest a systematic approach to prompting can significantly improve the outcome of these models. However, “prompt engineering” is not (and it never was) a dream job that some people wanted it to be. Without significant experience in programming, natural language processing, machine learning, product development, and software integration no one is going to pay you a six-figure salary for just smooth-talking ChatGPT into a right answer.”
领英推荐
Yes, AI can save time on non-teaching activities which is fine. But should we not be using it to reimagine the whole concept of “teaching” itself?
Council Post: Six Generative AI Predictions For 2024 And Beyond Will AI be the future, or will it fail to live up to the hype? www.forbes.com
Interesting list of six Gen AI predictions for 2024 and beyond. Widespread AI Integration; Blockchain and AI Synergy; Evolving Micro-Language Models; Creative Industries Transformation; IT Career Landscape Shift; Governance and Human Oversight. Difficult to disagree with any of this. Is your organisation future ready?
A reasonable suggestion, but it’s still a meeting!!!!! “These AI-powered prompts can guide presenters through the process of crafting highly engaging presentations, minimizing preparation time and maximizing engagement.” But it’s still a presentation!!!!! Lipstick on a pig.
Looking back to look forward. An interesting read, especially for those around during the dotcom era.
Bringing your KPIs into an AI era. “AI can surface and analyze interdependencies between KPIs that formerly were seen as unrelated to business results. Forward-looking organizations are benefiting from using AI to generate KPIs that are more intelligent, adaptive, accurate, and predictive than legacy performance indicators.”
Vol. 2 No. 1 of the Future Ready Digital & AI Digest?—?Has the term “digital” transformation reached its sell-by date?; high failure rates: the problems with “big bang” approaches: becoming future ready is the main leadership challenge facing organisations today, not digital; ensuring success with your ML projects; measuring AI business value; small and strategic not big and complicated; time to stop saying “best practice”; Boeing self-destructs?—?a Business School classic; ChatGPT and education; the rise of techno-authoritarianism; and others.
As always, comments and feedback are very welcome.
Take care.
Jim H