Hey Enterprise, you can start using AI now!

During the spring we read about companies such as Apple, Samsung, JPMorgan, and Goldman Sachs etc., banning the use of large language models (e.g., ChatGPT) due to concerns regarding data privacy, quality, and ethics. These concerns involve potential exposure of confidential information, generation of inaccurate outputs, and violation intellectual property rights.

This might apply for you as well…

There is good news, Microsoft just introduced Bing Chat Enterprise which gives you access to GPT-4 directly in your browser. It addresses some of the mentioned blockers:

🔒 Strict data protection, ensuring your business data stays within your organization.

🚫 Microsoft does not have access to view or use your chat data. Your information remains strictly yours and is not used for AI model training.

Since Microsoft is backing these statements with its reputation, it should really be safe to start picking the AI fruits.

Are you already using ChatGPT in your business? What are the greatest benefits? If not, will you start now when the Enterprise option is available?

https://blogs.microsoft.com/blog/2023/07/18/furthering-our-ai-ambitions-announcing-bing-chat-enterprise-and-microsoft-365-copilot-pricing/

FOMO to FOAI: Finding Your Way in the Flood Of AI Applications

How I found my way in the flood of AI Applications

Ah, the early days of the internet. Back in the late ’90s, when we tech-savvy types were just getting our first taste of this fresh thing called the World Wide Web. We’d fire up Mosaic or Netscape, type in a URL, and hope for the best. Search engines were in their infancy, and you really had to know your way around to find what you were looking for.

But as more and more websites popped up, it was easy to feel overwhelmed. How could you possibly keep up with all the new sites, let alone know which ones were worth visiting?
There it was, the solution: the web directory page. These handy sites collected and categorized all the URLs you could ever want, making it easy to find what you needed.

🚀 Fast forward 25–30 years and we’re in a similar situation with AI apps. There’s an explosion of new apps, all promising to revolutionize productivity, sales, and everything in between. And just like with those early days of the web, it can be tough to know which apps are worth your time.

But never fear, my friends. Just as the web directory page was the answer back in the day, I recently found “There’s an AI for that” — a directory of all the AI apps you could ever want, filtered and categorized for your convenience.

So go forth and explore!

What is your favorite AI application?

Are you exploring AI applications just for fun or as a part of your job (or as a fun part of your job)?

I have yet to find something good for use in my role as project leader.

Let’s explore 😀

What makes AI development special?

 💥 Nothing happens on the surface...then boom, problem solved... no human can compete. 

  
I'm all about practical applications of AI and 2022 I got a few "wow" moments and I would like to share one with you now. 
  

👨‍🎓 As a student at Lund University, I remember one of my professors telling a story about the early days of determining the 3D structures of proteins using X-ray crystallography. The output data from the X-Ray machines was printed on several large (square meter) transparent sheets that was hung from the roof, in front of each other in a large room. By looking through all these sheets, it was possible to "see" the 3D structure. As the story goes, there were one guy who had eyes like Marty Feldman which made him exceptionally good at seeing the 3D structure. Complicated stuff. However, it turns out to be worth the effort. 
  
Proteins are the building blocks of all living organisms, and their 3D structure plays a crucial role in how they work. Determining the structure of a protein can provide important insights into how it functions and how it can be used to e.g., develop treatment for diseases. Proteins can also be described with a 1D amino acid sequence, this is quite easy to determine, but not as useful as the 3D structure. Considering that there are more than 100 million proteins known to science, let's build X-ray machines like crazy...or?! 
  
In September 2010 DeepMind was founded, for the wider audience (such as me) the company is most known for beating the world champion in the board game Go. 
  
💥 In the early days they wanted to beat the computer game Pong using their AI algorithms. It took 6 months for the system to score its first point... then it got one point... then it won a game...then it started winning 21-0 and could not be beaten by a human anymore. Boom. 
  
Going back to protein folding (1D to 3D). DeepMind wanted to solve this problem with AlphaFold and so they did. Training their AI on the known 3D protein structures (shout out to experimentalists) resulted in a system that can go from a 1D to 3D in seconds, this with good enough accuracy for practical applications. 
  
Alphafold computed the 3D structures of 20 000 proteins overnight, and in 2022 over a million protein 3D structures was released. What earlier took thousands of man years is now done in less than 24 hours and is accessible for us with normal eyes. Nothing... then boom, the problem is solved, and no human can compete at that specific task. 
  
We will see more and more of these "explosions", I'm curious to see how it will change the (project) leader role, which of my tasks will I be able to hand an AI-assistant with faster and/or better results? I keep my fingers crossed for maintaining the project budget up to date or document management. 
 
What do you think? Which parts of your profession will be disrupted? 
  
*The DeepMind info is from an interview with Demis Hassabis.