Everyone is on the AI Team

Everyone is on the AI Team

Not too long ago, the world of AI users and AI developers and engineers were very different.?

?? In the “old days” (just two years ago or so), it used to take highly-skilled data scientists, machine learning engineers, data engineers, and other well-paid and hard-to-find individuals to build the models that non-developers could use or embed in their applications.

But Generative AI has shifted the landscape of who is able to create AI outputs. On a recent flight back from SXSW this year, a random seatmate was eager to show me the AI-generated creations she made on Midjourney as well as the prompts on GPT. Now everyone is an AI developer.

But is Everyone Truly an AI Developer?

Even though generative AI is literally at everyone’s fingertips, whether accessing tools like ChatGPT, Google Gemini, Midjourney or others directly, or embedded into the tools we use every day, that doesn’t mean that the average person is able to build AI models, especially ones that can stand up to real-world usage.

Just as spreadsheets democratized casual quantitative analysis and basic finance, so too is Generative AI democratizing casual natural language processing and image generation and analysis tasks. The legions of Generative AI users are “citizen AI developers” in much the same way that no-code and low-code users have been empowered as citizen developers.

?? As with all things AI, the truth lies in the Pattern of AI that’s being used as well as the scope and nature of the project.

Some patterns of AI with narrow scope and rapid iteration cycles can indeed be accomplished with Citizen AI Developers. This is especially the case with Conversational pattern and aspects of pattern & anomaly and recognition patterns.?

But many of the other patterns of AI, any AI project with a large enough scope, or AI systems that need more than just prompt engineering, such as the development of a new or even fine-tuned LLMs, or more than a basic Retrieval-Augmented Generation (RAG) will need more than just a casual citizen AI developer.

Who is on the Modern AI Team??

The AI team is now expanded beyond the previous class of high-skills driven talent and even further beyond more casual AI users to include those who are involved in aspects of keeping AI systems trustworthy and reliable.

Legal, regulatory, ethical, responsible, governed, and transparency requirements are causing organizations to broaden the AI team beyond the narrow groups focused on line-of-business or product needs to include groups responsible for privacy, compliance, risk, ethics, governance, and even aspects of intellectual property licensing and management.

This means that the modern AI team is much broader and complex than the previous “research-y” teams that comprised data scientists, machine learning engineers, and data engineers. AI has broadened outside of this almost niche aspect of technology to be much more all-encompassing, which means that AI is a team effort, and everyone is on the AI team.

Listen more on our AI Today podcast on this topic!

In Case you Missed it… Insights from Cognilytica Podcasts amp; Content

  • ?? {Featured Article} The Layers of Trustworthy AI. We’ve put together a substantial “pillar” article that outlines everything you need to know about the Layers of Trustworthy AI. Read and share with your colleagues! [Read here]
  • ?? {Featured Podcast} Who is on the AI Team? It used to be that the AI team was mostly comprised of data scientists, machine learning engineers, data engineers, and other hard-to-find, highly skilled resources. But things have changed. Who is now on the AI Team? [Listen here]
  • ?? {Featured Podcast} Governed AI Concepts. The governed AI layer of trustworthy AI addresses your practices & processes for managing our AI systems. This includes addressing how you audit, measure, regulate, guide, secure, and provide processes for your AI systems. [Listen here]
  • ?? {Featured Podcast} Determining AI Project Costs. What are you really spending on in an AI Project?? We get asked this question often and thought it was worth devoting a podcast episode to. It comes down to scope, build vs buy, and AI services. [Listen here]

The Most Important AI Stories from the Past Week You Should Know:

  • ??? {AI Adoption} - US-funded report issues urgent AI warning of 'uncontrollable' systems turning on humans- A new? government-commissioned report warns the rise of advanced AI could destabilize global security similar to nuclear weapons. [Read More]
  • ?? {Trustworthy AI} - Google restricts AI chatbot Gemini from answering queries on global elections - With the US election season in sight, Google is restricting AI chatbot Gemini from answering questions about the global elections set to happen this year. [Read More]
  • ? {Ethical AI} - The Obscene Energy Demands of AI - AI, and in particular generative AI, is being adopted at an astounding rate. But, it comes at an environmental cost. How can the world reach net zero if it keeps inventing new ways to consume energy?? [Read More]
  • ????? {AI Adoption} - World’s first major act to regulate AI passed by European lawmakers – The European Union’s parliament approved the world’s first major set of regulatory ground rules to govern the mediatized artificial intelligence at the forefront of tech investment. Regulation is expected to start in May. [Read More]
  • ??? {Responsible AI} - TurboTax Adds AI That Gives Horribly Wrong Answers to Tax Questions. Organizations keep adding LLM-powered AI chatbots to their applications and websites without thinking it through. What could go wrong? [Read More]

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?? Events and Opportunities to Hear from Cognilytica

  • March 20, 2024: PMI Metropolitan St. Louis Chapter: “Running Successful AI Projects and Avoiding Failure”: Virtual/Online session, 6:30pm-8pm CT. Participants will receive 1 PDU for this session. - ?[Register here]
  • March 21, 2024: PMI Pikes Peak, CO Chapter: Winning Tactics for AI Implementation Success” Virtual / Online session - 12pm-1pm MT [Register here]
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  • April 2, 2024: PMI Southern MD: True Talks Live! Show, YouTube live stream, 7-8pm EST [Link opening soon]
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  • April 9, 2024: PMI Washington DC Chapter: “How to Run Successful AI Projects and Avoid Failure” 7:30-8:30pm EST in Reston, VA [Registration opening soon]
  • April 18, 2024: FORUM: Women Making an IMPACT, Empowering Women in AI - virtual/ webinar, 1pm EST [Register here]
  • April 23, 2024: PMI Tulsa, OK Chapter: “How to Run Successful AI Projects and Avoid Failure” Virtual / Online session 12:00-1:00pm CST [Registration opening soon]
  • April 29, 2024: PMI Saudi Arabia Chapter: “How to Run Successful AI Projects and Avoid Failure”, Virtual / Online session -? 7PM-8PM Saudi Time (10AM-11AM Eastern Time) [Registration opening soon]
  • May 2, 2024: PMI Austin, TX Chapter: “The Future is Now:? Essential AI Skills Every Project Manager Must Have”, Professional Development Day 2024, In-person presentation, 7:30am - 16:00pm CT ?[Register here]
  • May 7, 2024: PMI Delaware Valley Chapter: “How to Run Successful AI Projects and Avoid Failure”, Virtual / Online session -? 6:30PM-8PM Eastern Time [Registration opening soon]
  • May 8, 2024: PMI Southwest Ohio Chapter: “How to Run Successful AI Projects and Avoid Failure”, Virtual / Online session, 6:30-7:30pm Eastern Time [Register here]
  • May 21, 2024: PMI New Jersey Chapter: “What you need to know, today, to successfully run and manage AI projects”, Virtual / Online session -? 6:30PM-8PM Eastern Time [Registration opening soon]
  • July 10, 2024: PMI Madrid, Spain Chapter: “Best Practice Methods for Successful AI Projects”, Virtual / Online session - 7:00 - 8:00 PM Spanish time? [Registration opening soon]
  • July 10th, 2024: PMI San Francisco Chapter: “Successful approaches to running AI Projects - Avoiding the Top Reasons why AI Projects Fail”, Virtual / Online session -? 6-7:30 pm PST [Registration opening soon]
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AI Resources

?? Check out our AI & Data Resource List: Dive Deeper! ?

Absolutely love this shift in #AI! ?? It reminds me of Warren Buffet’s insight on making complex things simple. By empowering everyday users, we're democratizing innovation. ?? Let's keep breaking barriers together!

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