Artificial Intelligence Meets Authentic Intelligence

With all you have read about the major shift in technology by Microsoft, you may have noticed many companies making the pivot to accommodate.

Your day-to-day work technology will soon be artificially intelligent very fast—for example:

Do you need to write a document explaining your next project to your colleagues? Just ask Microsoft Word to do it.

Do you need to write a presentation about the notes you made in your last meeting? Just ask PowerPoint to do it.

Do you need to know where exactly your last phishing attempt came from, the malicious code used and whether it has been active in your system? Now you can just ask.

These are the types of things people like us, who want everything to be naturally simple, dream of.

These are also the types of things artificial intelligence (AI) brings to the table with Microsoft Copilot.

Copilot is the natural evolution of Microsoft’s immense $10,000,000,000 investment into OpenAI, the people who brought the world ChatGPT.

Microsoft is integrating it everywhere, into everything… essentially. It will be unavoidable to encounter some aspects of AI in their services.

But how do you maintain your authenticity? Let me try to explain what I mean:

If you tell a dog to fetch, the authentic intelligence of the canine will tell it what not to fetch and what to fetch. It will see the item you just threw and go get it—and most of the time doesn’t randomly run out into the street!

If you tell AI to “fetch,” it does not naturally know what not to fetch, doesn’t know when to stop fetching and doesn’t know how to fetch most efficiently. It learns these things by scraping, analyzing, and absorbing massive amounts of data. It also learns this by being taught by you.

But what data do you feed AI to get the nuanced result you precisely want?

Your environment has tons of data, but not all of it is useful, relevant, or appropriate for AI to use. But there’s no way AI would know this.

That’s where authentic intelligence comes in.

How do you balance the two?

This question sums up why Cloudforce has been gearing up for this breakthrough in technology long before it was cool.

Forty-nine certificates and four times the number of employees over the last four quarters shows the strength of our efforts.

By being a Microsoft Solutions Partner for Data & AI (you don’t want to know what that took!), we made sure we are ready for the wave, so that we can help get you ready.

After all, just like I expressed in my last post, we make Microsoft work for you.

So here is some practical advice—and the action items!

  1. Get your team briefed. Get a nuanced understanding of exactly what Copilot is or isn’t. We have a “how it works” presentation on our website; you’re free to use it and abuse it. Microsoft also has an informative blog on Copilot. Get familiar with what the capabilities are, so that you can…
  2. Test it out. As of now, you cannot test Copilot… yet. You can be part of the current OpenAI beta, however. These are not hard to find! If you have trouble finding how to sign up, just let me know.
  3. Understand the limitations. Artificial only goes so far.
  4. Make your own conclusions. I forewarn that this will hit the technology sector very hard (in a good way). Plan accordingly! If all this new tech startles you, then there may be something unclear to you. Do not hesitate to ask us for any information you need. We will be more than happy to provide it.

Nuanced understanding is how we keep it authentic at Cloudforce.

We ask the smaller questions so that you can keep it simple. We dig through the minute details so those don’t land on your plate. We do it not by just scrubbing vast amounts data, but by understanding you.

There will be a lot of “hype” and shock value surrounding Copilot in the tech world. Arm yourself by bolstering your understanding. We will be behind you all the way!

 

Sincerely,

Kamal Cunningham

Cloud Champion

Kamal’s life before Cloudforce was that of volunteering, helping others with issues that they had problems solving. After mastering this ability, he translated that problem-solving ability to groups, and eventually sales. He became successful in sales because he saw it as a way to help others. And in the process, he’s forged bonds with customers that he’ll never forget. He takes this experience into Cloudforce as the Cloud Champion with the aim of assisting it to become the greatest tech company in the world, while also helping others achieve success through what we do in Azure and the cloud in general.

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