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Will we learn to trust artificial intelligence next year?

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Mastering the chaotic mechanics of cloud computing and learning to love artificial intelligence 2023 Tech Trends identified by Deloitte thinkers. Federal Drive has reached out to Scott Buchholz, Deloitte’s public sector chief technology officer, about this and other things his IT manager at the federal government will have to grapple with next year.

Tom Taemin
An interesting list that we have put together here for next year. Some of them are fairly basic technologies that everyone can relate to, such as Multi-Hi Cloud Taming His Chaos. But there are also immersive internet for businesses and more fantastical sounding ones. So what do you think will be the most important thing in the next year from a technology perspective?

Scott Buchholz
Well, there’s something like what I’m thinking and what I want. I think part of what’s going on with Tom is that people are realizing that we’re all collectively investing heavily in the cloud. These are not only the investments we are making in infrastructure as a service, but also increasing investments in software as a service. And part of what people are starting to realize in that regard is that they don’t necessarily have a consistent way of applying policies across them. , it does not scale. So, if you ask me, I think where I think people will be most focused next year is because we’re all focused on the issue at hand.

Tom Taemin
right. And that sort of leads to the idea of ​​automating some of these high-speed, high-volume tasks, like making sure policies are consistent across clouds. Otherwise, cybersecurity will collapse, something Deloitte calls opening up her AI learning to trust her AI colleagues. A lot of work has been done on AI and there has been a lot of investment in AI both on the civilian side and on his DoD side. Any results yet? And do you see people taking this into operation, not just theory?

Scott Buchholz
We’re starting to see people adopt AI and operations. And that applies to government as a whole. The interesting thing about AI, even if you look at other industries around the world, is that a lot of the time people’s mental models are like artificial intelligence, computers are like calculators, and what we’re looking for is that they’re perfect. I hope you are. They are in some ways superhuman, perfect, equal to or no better than their best colleagues. One of the easiest ways to think about this is if you’ve sat in the back of a car with a teenage driver and compared that to a self-driving car, my teenage kid is actually self-driving. We’re not sure it’s any more secure than Because we expect computers to be not only better than most humans, but perfect. And the reason it’s actually so important is that if we come to think of the AI ​​as a very smart colleague, it might tap us on the shoulder and say, “Hey Tom, hey Scott.” It’s from Then you can actually handle it smarter. Because you know how to deal with wise co-workers who are often right and sometimes wrong, as opposed to the infallible oracle who is always right. So I think governments will find that the more they can think about smart, automated co-workers, the better they can actually do when it comes to AI adoption. And we know how to manage imperfect human quirks and stupidity.

Tom Taemin
of course. An example of its application would be an institution with an adjudication function. You have 500,000 open cases, 400,000 of which are regular cases, and you can rubber stamp 100,000 that need to be flagged. Expensive items can be allocated in a rational way. This is human time and discretion.

Scott Buchholz
That is correct. Healthcare has actually been doing this for years, the insurance market has automated some of the back-office approvals, and the smartest way to do it is that AI algorithms are very predictable when the answer is yes. If you are sure of , for example, if a procedure needs to be approved, the AI ​​can make that decision. But if the AI ​​determines with a high degree of confidence that the answer is “no”, or if you’re simply not confident that it knows the correct answer to route to humans, then that way you can does not enable it. An AI that makes bad things happen faster, right? Basically, we let the AI ​​handle the mundane things we know are right, but whenever something looks unnatural or makes us want to say no, it gets a second review. .

Tom Taemin
Maybe AI should be called IA and it will be Intelligent Automation. Well, it’s free.

Scott Buchholz
In fact the best use case is some version of it.

Tom Taemin
We spoke with Scott Buchholz, Chief Technology Officer for Government, Public Sector, Deloitte. And I wanted to ask you about this idea where you’re looking at the future through a mirror, which you call the immersive internet for the enterprise. Is this primarily a training area? Or how do you think immersive environments will apply to the federal government?

Scott Buchholz
I think the easiest place for most of us to envision the future of things like virtual reality and absolutely anything else in the near future is training. And there can be inspectors, repair technicians, service technicians inspecting electrical equipment, and others who are working with dangerous objects everywhere. State government social workers have actually been placed in difficult situations at home and are trying to know how to react to things, and its broader use cases actually turn out to help people learn better. , are easier to remember and get more value out of the training than doing the same on screen or on paper. What’s even more interesting is that when we look around, we’re all trying to figure out how to move beyond the little glass rectangles that we’ve been living in for 40 or 50 years. What will the future look like for how we interact with technology? It’s probably more voice, more vision, more variety, and far less keyboard and mouse, clicking and typing, etc.

Tom Taemin
We see it to some extent in publicly deployed applications with facial recognition and even in 3D methods of passing checkpoints on the move. It’s not a fully immersive technology, but it’s a step beyond traditional interactions. So was it a decent example? Do you think that?

Scott Buchholz
Yeah, I’ve heard one of the CBP executives say it publicly. This is an absolutely great example.

Tom Taemin
So what about the technical workforce? So you said we need to rethink the technical workforce and build flexibility into it. Tell me more about that particular discovery.

Scott Buchholz
The first thing I would like to say is that in times of economic hardship, governments are more attractive employers. And so or uncertain. So it is clear that the economy is moving into a more uncertain environment. However, this means that the government is an opportunity to become a more attractive employer for people with experience in the fields they want to enter. He has two other things to think about. That means we’re also seeing more creative ways to bring different talent into the workforce. Different training programs, different levels of flexibility, different changes in requirements, and this helps attract people who wouldn’t normally go into IT and technology. Some are being trained and empowered by people without a data science or development program or other four-year college degree. They are also an excellent source of talent for governments to join the workforce productively. And I think the group we tend to forget is the existing employees. Because it is easy to miss. Most of our skills are actually atrophying with the speed of technological change. We must remember that we are not just bringing in new talent with the necessary experience from the outside.

Tom Taemin
Ok, all of this is very interesting, but I didn’t want to rule out the idea of ​​going back to some hardware here. Mainframe modernization is well underway. what are you talking about here? It’s not the iron itself. But what about software systems that run on mainframes?

Scott Buchholz
That is correct. What we sometimes forget to admit is that systems that have been running on mainframes and have been running for decades have actually lasted longer than some of us have been alive and have served their missions well. It’s been a while. And what it really turned out to be is that when missions evolve, missions change, and expectations change, you need the flexibility to move around to meet them. Traditional technologies for web development aren’t as agile as those used by today’s web developers. So how do we use technology to increasingly allow people to move things off the mainframe? Componentize things on the mainframe? How do we leverage AI? You know, other things and other technologies that we developed were developed to chunk things differently to solve problems differently, and modern technology Make better use of it so you can complete missions that weren’t where you were before. 20 years ago when we started.

Tom Taemin
If you’re staying here, something interesting happens on the road to obsolescence, and people still keep doing these things. You can also use it for what works best for you.

Scott Buchholz
That’s right.

Tom Taemin
Well, we could go on and on, but we don’t have time. If nothing else for the amazing artwork you have created, we recommend you take a look at this report. And when you blast it on the big screen, you might end up getting stuck in the artwork.

Scott Buchholz
Thank you Tom. Generated using AI. So, I’m taking a little of my own medicine.



https://federalnewsnetwork.com/artificial-intelligence/2022/12/will-you-learn-to-trust-artificial-intelligence-next-year/ Will we learn to trust artificial intelligence next year?

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