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Artificial Intelligence (AI)

Will AI Render Software Developers Obsolete?

Every economic sector will be impacted by artificial intelligence technology, hopefully for the better. For those in software development, many are asking the question, will AI make programmers obsolete?

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Will AI render Software Developers Obsolete

Artificial Intelligence (AI) and its closely related cousin Machine Learning have become hot topics of discussion around dinner tables and expert panel shows.

Unfortunately, whether expert or opinionated father a side is taken as to whether developments in the technology will bring about the end of humanity or usher in a new utopian age.

These are pretty broad strokes that AI cannot hope to make real, either good or bad, in the near term. However, dinner table assumptions aside, the technology will have a massive impact on how we work; in fact, it already is.

Every economic sector will be impacted by artificial intelligence (AI) technology, hopefully for the better. For those in software development, many are asking the question, will AI make programmers obsolete?

Artificial Intelligence (AI) Technology

1. Work Flow Improvements

A study conducted in 2013 predicted that 47% of jobs in the US might be automated by 2030. A more recent study predicted that between 40 million and 160 million women worldwide might need to transition to a different occupation by 2030, with clerical and bookkeeping roles being the most in danger of being automated.

Where does this leave the profession that may be responsible for creating the automation software?. This is a question of keen interest for us at DevsData, and we feel it should be looked at in two ways.

Firstly, AI can be of benefit to programmers, and this is being seen across the IT sector even with AI adoption being done at a rudimentary level.

Secondly, does this benefit mean that programmers can be done away with? The software development cycle has many elements that programmers may find tedious, which can be automated.

If we look at the period before any code is committed to memory, the first technology specifications and features need to be determined. Only then can code be written.

In-Demand Programming Languages (AI)

Once that is done, the process of testing, deployment, and maintenance begins, which is costly and time-consuming. AI has proven to be excellent at handling the tasks we find repetitive and frankly boring.

For programmers, AI can assist in code writing by preventing errors from cropping up based on a library of successful and unsuccessful code. Further, AI can assist in testing potentially been far faster and efficient as well as fixing bugs with the same efficiency.

2. So, are programmers at risk?

As to the second part, the short answer is not necessarily. While the technology sector will use AI to improve efficiency by allowing AI to take on the mundane but necessary tasks, this frees up programmers in surprising and creative ways.

Programmers will be able to focus on developing better code and better software. The reality is also that programmers are still needed to create the AI algorithms to put in place in the first place, analyzing and curating programmers will do the data for use in the algorithms for the immediate to near future.

This, of course, means that programmers will need to learn new skills and possibly new programming languages, but this has been the case for the profession even before the AI debate began.

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Artificial Intelligence (AI)

5 Ways Artificial Intelligence Can Positively Impact The Future Of Web Streaming

5 Ways Artificial Intelligence can Positively Impact the Future of Web Streaming. Better Encoding, Zero Privacy Issues, Improved UI

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5 Ways Artificial Intelligence Can Positively Impact The Future Of Web Streaming

Despite inspiring a considerable amount of intimidation, AI is at the forefront of innovation, especially in the post-pandemic era. However, as a futuristic technology, AI’s real essence needs to be ascertained from an open mindset. Reasons being the diversity of approach and the usefulness of AI as a multivariate resource for simplifying human indulgences!

Then again, AI’s role in optimizing video streaming experiences has been under a lot of speculation in 2021. As individuals rely heavily on streaming devices, streaming platforms, and even web streaming services to keep up with the leisure spells, even service providers are wrapping their heads around the inclusion of AI to make the experiences even more rewarding.

Those who aren’t of the positive impact of AI regarding the video streaming modules and workflows should closely follow this discussion. In the subsequent sections, we shall take a closer look at home Artificial Intelligence can impact the diverse clientele’ web streaming experiences, sans privacy and quality compromises.

1. AI and Video Streaming: The Relation

Artificial Intelligence AI Web Streaming

Before we move any further with this discussion, it is important to note how AI technology works, with video streaming being the subject of interest. AI put, equates to mimicking the human mind, albeit an intelligent one.

Before AI became a fad, intuitive human minds used to manually manage certain processes, slowing down the entire system in the process. On the other hand, AI goes relentless about the task and even empowers any given process with cumulative computational power about machines.

As with video streaming, AI comes in as a handy purported inclusion as the technology allows you to sift through massive data sets in a matter of seconds, something that is virtually impossible for any human mind. Therefore, in the immediate future, AI will aim to optimize streaming workflows by calculating bitrate, user expectations, and even network conditions.

Therefore, broadcasters will not have to worry about catering to diverse audience bases separately. The platform itself will be extremely intelligent, and content quality will vary as per preferences and resources.

If you are still unsure as to how AI will make such a lasting impression, considering the already evolved nature of the streaming devices, platforms, and services, keep reading on:

2. 5 Ways AI can help

a. Better Encoding

If you are not aware of how the concept of video streaming works, a better understanding of encoding is expected to help. This means the content-aware realms process and stream videos, where the quality, inclusion, resolution, and other aspects are in sync with the receptors hardware configuration.

While most encoding tasks are still being initiated manually, AI can help automate the process more with trained machine learning algorithms to work with.

Once AI is incorporated into the mix, optimizing bitrate, accounting for latency, and syncing along the video streaming protocols become easier than ever.

While most streaming platforms and applications is already pursuant in a given capacity, this inclusion will make the most sense of website streaming and relevant content, often lacking a dedicated UI to optimize the broadcasted quality.

Not to mention, the role of AI would impact VDO and even live streaming workflows, allowing broadcasters, enterprises, and companies to save a lot of money by facilitating curated bandwidth usage.

b. Zero Privacy Issues

Web streamers often find it hard to curate content based on locational and copyright issues. This means, if a web stream is broadcasting something sensitive where certain parts of the content are confidential and need to be blurred out, manual settings might not be as helpful.

On the other hand, AI can check and optimize the entire workflow and essentially take care of the brand names, signs, logos, and other information bits via advanced and trained computer vision.

This way, it becomes easier to send forth unique content.

c. Improved User Experience

Eventually, it all boils down to improving the overall customer experience, something most web streamers strive for. While a handful of web streaming resources already offered the best possible experience by eliminating clutter and issues related to buffering, AI implementation in other resources can have a similar effect.

Content tagging happens to be one such aspect as it allows the streamers to broadcast specific content pieces, depending on audience preferences.

Artificial intelligence, therefore, makes watching USTVGo on Firestick a more lucrative experience as you can get access to curated content, sans broadcasting issues.

Not just USTVGo, but other web streaming resources can also benefit from the concept of content cataloguing whilst helping convert prospects into active viewers.

d. Automated Detection

Have you ever seen certain channels blurring out sharp images and elements for a particular program or a movie? This is what AI aims to achieve on a larger scale.

Instead of manually monitoring every program, Artificial intelligence will bring in the ability to detect certain elements automatically whilst managing them as per preferences. This way, any web streaming platform can go safely and securely about VOD streaming without worrying about legal issues.

e. Zero Copyright Infringement

Here comes a more scalable aspect relevant to the AI implementation. Ascertain brands and enterprises are quite serious about their logos; streamers often look for technologies that can take care of the same by selectively hiding or blurring out the same.

Leveraging artificial intelligence can make this concept work, but streamers must first train the systems with relevant algorithms to facilitate seamless detection.

3. Bottom-Line

Artificial Intelligence, if leveraged right, can change the way web streaming is perceived in the modern era. With the streamers becoming more intelligent, it will be easier for the relevant broadcasters to rely on selective and optimized broadcasting.

While we are currently looking at web streaming, AI can also simplify the way businesses work with live streaming workflows and sessions.

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