The prospect of monitoring our health and wellbeing from inside the home is one of the more fascinating developments in health technology. A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has made a fascinating breakthrough that might allow them to capture this data through walls.

Their work, which is known as RF-Pose, utilizes AI to allow wireless devices to monitor and understand people’s postures and movements, even when a wall separates them. A neural network has been developed to analyze radio signals that bounce off of our bodies, with the software then able to create dynamic stick figures that replicate our movement.


Source de l’article sur DZONE (AI)

With 88 percent of companies adopting low-code as a standard for developing applications and 74 percent of those companies planning to integrate business lines into the application development lifecycle, it is clear that companies are embracing this technology to relieve the pressure in application demand. And now your boss has told you that low-code development is the new way, and you need to break the news to your team.

Some of your existing developers may be skeptical about low-code, saying things like, "Low-code is beneath my skill set", "I’ve tried this before and it doesn’t work; I always end up coding anyway", or "I can code faster than this." What they often don’t realize is that low-code development makes their lives easier and aids them in achieving what they’ve always wanted, to make an impact on their organization in a fundamental way. This is the goal, right? So how can you get developers to buy into using a low-code platform?

Source de l’article sur DZone (Agile)

 

Artificial intelligence has expanded its footprints into many significant fields giving new opportunities for AI developers to improve the productivity with better efficiency. The healthcare sector is one of them that AI is going to play a vital role to improve the treatment process more autonomously and with better results in terms of disease diagnosis and medical care assistance.

Further, with more improvement in AI applications, the healthcare sector will be getting more equipped facilities to provide better medical treatments at a faster pace. Actually, there are many subfields where AI is used, and if you don’t know what the use of Artificial Intelligence is in healthcare, then below are a few examples where AI is extensively used at ground levels.


Source de l’article sur DZONE (AI)

Since March 2017, the Google Play store has published over 2.8 million Android apps for users to choose from. As for the Apple App Store, they have published over 2.2 million apps since that time.

Despite apps being used regularly by mobile users, there are not as many app downloads. As a result, there is a lot of competition to get the attention of app users. App startup entrepreneurs need to do thorough research to give their users some value and solutions to their demands. All this must be done before developing the product if they don’t want to see their startup fail

Source de l’article sur DZone (Agile)

Artificial General Intelligence (AGI) should be able to see. In particular, it should be able to recognize objects and to learn to recognize new classes of objects from as few examples as possible.

This means that it should generalize. How would that work?


Source de l’article sur DZONE (AI)

There is one of two things every company tries to do whenever they are looking at purchasing a new tool: raise the bottom line by reducing costs, or increase their top line by increasing sales. The main problem we see with people researching community software is a lack of focus in what they want the product to do, and what business objectives they want to accomplish. Before moving forward with a solution, you need to ask yourself what your goals are, and whether this tool can help you accomplish those goals.

The number one way a community can raise your bottom line and reduce support costs is through case deflection. The easiest way to measure ROI here is in how much time it takes your team to close a case if they have to deal with it at all. The goal of a community is to transition from a one-to-one or one-to-many support structure towards a many-to-many support structure. Allow your community to earn reputation, badges, and leaderboard position by solving people’s problems, resulting in you not having to hire more professional support staff when your community scales.

Source de l’article sur DZone (Agile)

There is no denying the fact that we are more connected than ever today and this connectivity only seems to increase by the day. The world today has shrunk within a small handheld mobile device, hasn’t it? Smarter technology is bringing not only the world but the future closer.

Alongside, this trend has exponentially increased the rate of data generation. Servers are not the only high-volume data-sources anymore. Mobile devices and internet of things (IoT) are churning out a copious amount of information each second. As the number of smartphones and connected devices grows, this inflow of data multiplies too. It should be noted that this data is multiplying with each second and getting more and more massive in size.


Source de l’article sur DZONE (AI)

I hesitated as my mouth hung open a bit. A senior leader in a development organization had just asked, "Why is product important?"

Why Product?

We’d been discussing an evolution in thinking in our industry — the movement from being process-focused to being progress-focused and now, the need to be product-focused. He innocently asked the question as he attempted to process the idea that what we build is more important than how quickly and efficiently we build it.

Source de l’article sur DZone (Agile)

The adoption of virtual assistants is trending greatly. It’s highly impossible to overlook the AI-controlled assistants being used in gadgets. From arranging days, booking, and ordering, technology has transformed to showcase amazing progress. The trend concedes to be in its initial phase and requires time to figure out the facts from the hype to understand the exact worthiness of the technology.

Some of the most popular AI assistants racing for attention: 1) Amazon (Alexa), 2) Apple (Siri), 3) Google (Google Assistant) and 4) Microsoft (Cortana).


Source de l’article sur DZONE (AI)

As a consultant, I get to see a lot of different organizations and work with a variety of teams. By now, virtually everyone has at least heard of Agile and read the Manifesto. We also seem to have, in technology adoption terms, crossed the chasm, and so adoption by more traditional, sometimes slower moving, global scale organizations is well underway. Agile has finally been vetted by the early adopters and is now becoming mainstream.

I, like others, talk about the difference between "doing Agile" and "being agile" — differing the big "A" Agile and the little "a" agile is intentional [BC1]. From an intellectual perspective, the notion of Agile being a mindset and a different way of seeing and acting in the world rather than a methodology or a process usually resonates. Still, though, I see a tendency to want an "Agile checklist"; a tendency toward Agile for the sake of being able to say "we’re Agile" rather than genuinely zeroing in on value and excellence. I cannot tell you how many times I’ve heard, "It’s not ‘Agile’ if you aren’t doing <insert practice here>."

Source de l’article sur DZone (Agile)