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Tech professionals believe that artificial intelligence is set to take over millions of jobs, including developer roles

Artificial intelligence solutions have entirely transformed the domain of modern enterprises and business operations. Over the years, the further evolution of AI into a more advanced form has changed our outlook on everything. Quite similarly, AI has a drastic impact on software development and testing. Experts are anticipating the increased use of artificial intelligence for software development so that it can increase the efficiency of the software development lifecycle. Currently, maximum software enterprises are adopting emerging AI technologies in software development to stay abreast in the competition. The technology is poised to alter basic development fundamentals through acute means, but many believe that it will bring serious challenges to the traditional methods of software development. But if AI is fully capable of augmenting the development lifecycle and automating the entire procedure, what will be the role of programmers and developers?

Well, tech and market analysts are quite worried about the impact of AI on their job roles. With challenges to the traditional working environments, developers and programmers are worried that they will face acute job losses and layoffs soon. With the rapid development of such advanced technologies, it is quite obvious that companies would like to cut costs of human labour and reduce errors. Nevertheless, this is a huge step for AI and companies alike that can help progress the reach of AI into various other domains, including software development and programming.

Recent reports on AI and its developments have revealed that the advancements of this technology along with its adjoining solutions will be responsible for writing better software codes, and they will do it faster than the best human developers and programmers in the global industry. Experts warn that software developers and programmers might get computerized with the advances in machine learning algorithms. The optimization of safety-critical areas in software development tasks by AI solutions is also one of the major reasons why businesses are thinking about deploying AI in software development, testing and programming tasks. The technology can ensure that the code quality is high and delivers all the functional requirements.

Besides, intelligent programming and development assistance from AI can cut down on the workload in terms of automating the creation of code and identifying faults in the code manually. Artificial intelligence can be used to develop advanced business concepts for huge projects that are labour-intensive and time-consuming.

Enterprises are continually evolving, along with the ever-changing landscape of technology. Transformation of legacy applications and large-scale refactoring is essential with critical necessities, and deploying machine learning algorithms and frameworks will analyze codes and automatically optimize them for interoperability and higher performance.

Software development often involves exceeding the assigned budgets and misses deadlines. But it is also critical to understand the context, map resources, and understand the strengths of the implementation team. Machine learning can correlate data from past projects regarding user experiences, estimate the accurate budget, and ensure proper planning for more efficiency. AI solutions help prioritize products and features, as well as provide near-perfect details about the different complexities that give the business leaders and managers enough time to identify the methods that help maximize profit and minimize risks. The technology is also turning around testing and maintenance which is also an integral part of the software development lifecycle. AI in software testing allows IT companies to completely transform software testing into a robust automated process reuniting minimal intervention of humans.

A simple answer to this immensely critical question is a big NO for now. AI will not be replacing developers or programmers anytime soon but might perform coding and developing tasks in the future. Researchers and AI scientists believe that it will take time for AI to be able to create actual production-worthy and usable code that spans more than a few lines. AI is not yet poised to replace developers or programmers but will be essentially designed to help developers understand their options. It is for human professionals to decide how to optimize the AI and ML solutions for their own benefit.

Developers will also use AI as a coding pair to develop better software and applications. AI will not replace the true value of developers, instead, help them become more efficient. The industry will employ more such developers who will efficiently deploy such advanced technologies for better results and maximized revenues. It will take longer for AI to interpret the business value of each feature, so developers will always remain valuable for enterprises.

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Will Artificial Intelligence Bid Goodbye to Developers in 2022? - Analytics Insight

Todays technological advancements have simplified our lives to the point where everything from email responses to social media postings can now be completely automated with the help of a scheduling software that leverages artificial intelligence.

Had the Covid-19 pandemic hit in the 1990s, businesses and peoples lives would have been more adversely affected, while the economic damage would have been astronomical.

However, todays innovative technologies have offset much of the pandemics damage to our economy. Over the past two years, for instance, I have led remote teams and initiated and executed multiple projects often without physically meeting my clients.

But even with all of these technological advances, one thing that AI will not be able to replace is our creativity; the compilation of our complex emotions, thoughts and aspirations.

AI has the ability to process information that is already out there. While it is good at replicating repetitive or predictive tasks, creativity is deeply rooted in the human experience and out of reach for AI.

The spark of inspiration that prompts artists or designers to think of a new future, a new solution or come up with an art piece that connects people across time and space, is something that AI cannot compete with.

Creativity is, without a doubt, the most coveted skill of the future and one that businesses and governments need to incorporate in their processes to stay ahead.

As an Arab society, creativity and creatives have always been held in high regard. Poetry, for example, had a special place in the Holy Kaaba during the pre-Islamic period.

Poems recited by the greatest Arab poets of the time, such as Antarah ibn Shaddad and Labid, have been written in gold on strips of Egyptian cotton and suspended from the interior walls of the Holy Kaaba. The creativity of poets was also celebrated annually at Souk Okaz, in Taif, Saudi Arabia, where Arabs would gather from faraway lands to recite poetry and sell their merchandise.

The appreciation of poetry and poets not just then, but even now is testimony to how we as a society have always valued creativity. We now see that passion and respect for creativity and creatives reflected in our national policies.

The Dubai Creative Economy Strategy, for instance, aims to double the contribution of the creative sector to the gross domestic product of Dubai to 5 per cent by 2025, from 2.6 per cent in 2020.

Meanwhile, the UAEs National Strategy for Cultural and Creative Industries (CCI) announced last December that it will introduce 40 initiatives across three segments in the creative sector: talents and creatives, professionals and business environment, and enabling of the business environment.

The strategy establishes a new phase in the future of the creative economy and lays down a strong foundation to enhance the contribution of the cultural and creative sector to achieve sustainable development, Noura Al Kaabi, Minister of Culture and Youth, said at the time.

The work of creatives inspires us and drives us to change, to dream and to build a better future. The technology race will not slow down. A year from now, the way we work may completely change. Technology is likely to be so entrenched in our lives that we may realise theres no area left where it does not dominate.

But creativity is what will help us stay ahead of the game. For that to continue, we need to incorporate creativity in our decision-making processes for it to play an active role in building the future and helping us come up with solutions to global issues.

Creativity will always be the distinguishing factor the one thing that AI will never be able to overcome.

Manar Al Hinai is an award-winning Emirati writer and communications consultant based in Abu Dhabi. Twitter: @manar_alhinai

Updated: February 7th 2022, 3:30 AM

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Why artificial intelligence will never replace creativity - The National

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One of the core tenants running throughout The Age of AI is also, undoubtedly, one of the least controversial. With artificial intelligence applications progressing at break-neck speed, both in the U.S. and other tech hubs like China and India, government bodies, thought leaders, and tech giants have all so far failed to establish a common vocabulary or a shared vision for whats to come.

As with most issues discussed in The Age of AI, the stakes are exponentially higher when the potential military uses for AI enter the picture. Here, more often than not, countries are talking past each other and operating with little knowledge of what the other is doing. This lack of common understanding, Kissinger and Co. wager, is like a forest of bone-dry kindling waiting for an errant spark.

Major countries should not wait for a crisis to initiate a dialogue about the implicationsstrategic. doctrinal, and moralof these [AIs] evolutions, the authors write. Instead, Kissinger and Schmidt say theyd like to see an environment where major powers, both government and business, pursue their competition within a framework of verifiable limits.

Negotiation should not only focus on moderating an arms race but also making sure that both sides know, in general terms, what the other is doing. In a general sense, the institutions holding the AI equivalent of a nuclear football have yet to even develop a shared vocabulary to begin a dialogue.

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Here's What Henry Kissinger Thinks About the Future of Artificial Intelligence - Gizmodo

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Growth Drivers of Artificial Intelligence and Machine Learning Market with Relevancy Mapping by Key Player like AIBrain, Amazon, Anki, CloudMinds,...

Industry leaders around the world are using artificial intelligence to enhance their business with marketing technology. Whether its analyzing consumer interests and data, guiding sales decisions and social media campaigns or other applications, artificial intelligence is changing the way we understand marketing in many industries. Lets talk about the latest ways that businesses can utilize these powerful tools to achieve their marketing goals.

Technology changes every day. A lot can change over several years, especially intrending artificial intelligence technologies. The same goes for AI in marketing applications. Understanding the basic ideas behind applications of AI in marketing solutions can generate unique ideas that can break new ground in various industries.

AI can help automate projects to make businesses more efficient. According to Accenture, the productivity of businesses can be improved by 40 percent when utilizing AI. This not only can save time and money but can enable your company to focus their efforts on providing quality experiences for customers rather than spending too much time moving things from one spreadsheet to another.

AI can also help minimize errors in marketing processes. Artificial intelligence can complete specialized tasks with greater efficiency than humans can so long as supervision and guidance are involved. Often in cases where AI fails to provide the right results, human error was involved in setting up the AI program with appropriate data or it was used in a way that was not intended.

Because AI can dramatically speed up the process of marketing campaigns, reduce costs, and improve efficiency, artificial intelligence is much more likely to result in an increased return on investment (ROI).

Artificial intelligence is a strong tool when used alongside high-quality data. Many companies have had positive results in the real world when combining their market research data with artificial intelligence. This enables them to do all sorts of things. A big part of this trending use case is target group segmentation. AI is far quicker and more efficient at performing this task than humans are.

By investigating their target audiences more deeply, businesses can make more personalized offers to them that they are more likely to accept.

When we examine how this looks up close, we can get a better understanding of how it works. A nationwide department store can take a look at the data theyve collected on their customers and narrow down their search to those interested in food. Using artificial intelligence, we can identify customers that have a strong preference for organic foods. By quickly using AI to analyze the habits and preferences of these consumers, campaigns can be tailored toward them with greater efficiency to improve sales.

Target group segmentation is one of the keystone elements of personalizing a marketing campaign, but there are many other ways that artificial intelligence can help businesses personalize experiences for their audiences and customers. According to Salesforce, 76 percent of customers want businesses to have a clear understanding of their personal expectations.

One way that businesses do this with AI is to use predictive marketing analytics. By having AI analyze data of past events, it can reasonably and accurately infer how performance will look in the future based on a variety of factors. More importantly, analyzing what users like most can be useful when looking to suggest products to them.

For example, Amazon is the champion of this strategy. When browsing on their site, Amazons artificial intelligence knows about what you have bought in the past. Based on this, it can suggest products to you in your feed. It also knows what other users like you are interested in, meaning that they can provide suggestions based on that activity. This results in very personalized suggestions that can lead to higher conversions.

Spotify also takes advantage of this to make more effective music suggestions for you. It also uses this data to invest in artists to create new music that will be generally liked by a wider audience on a broader scale.

However, most personalization methods with AI tend to start from the top-down and personalize to the individual instead of an entire group. The more that the system can understand the individual user, the more likely that conversions can be made. Every user has variations that differentiate them from the larger group, so no group marketing campaign will ever be as effective as a campaign that targets specific individuals and their own interests.

The ability to use artificial intelligence to predict the success of marketing campaigns and to better personalize experiences for users is a powerful technological trend that will continue for years to come. Adaptation to include this tool in your arsenal is critical for relevancy at scale.

One of the most difficult challenges of the onset of the 2020 COVID-19 pandemic was a surge in sales of various products by stockpilers. Shortages of toilet paper became a notorious meme on the Internet as stores struggled to maintain stock in the face of the buying panic. Eventually, stock would be controlled by buying limitations. However, there was an important lesson to be learned here: demand forecasting and dynamic pricing could have prevented a great deal of this struggle.

Earlier we established that artificial intelligence is a powerful tool for analyzing past data in order to predict future activity. The same principle can be applied here. Its possible that AI can be used to analyze consumer interests, world events, and other sources to determine if there will be a rise in demand for certain products.

Using the pandemic as an example, BlueDot is a program that already can analyze the likelihood of a disease spreading across the world. If worldwide or nationwide emergencies can be predicted in this manner, stores can automatically begin ordering more products like toilet paper, medicine, and more. Not only can this help maintain stock and improve sales for stores, but it can also help the public better manage the disaster and lead to a swifter recovery.

This can also be used to dynamically and automatically raise prices. This can be used to better control stock during times of high demand and panic buying, naturally dissuading customers from bulk buying beyond reasonable amounts, as well as optimizing revenue for your business.

Dynamic pricing and demand forecasting for every business is unique. From the types of items that you carry to the types of consumers that you are serving, a custom solution made by your team or by an external vendor may be the best option for creating a system that can accomplish your goals.

Providing unique and engaging content can be challenging. While AI can automatically generate content, it often can be more trouble than its worth.

Although this technology is improving and can be very effective in some contexts, a more widely accessible and reliable possibility is for AI to offer intelligent suggestions to human writers. AI-guided suggestions for writers form the basis of features in applications like Grammarly, Microsoft Editor, Google Docs, Microsoft Word, Yoast, SEMRush, and more.

Adobe Premiere Pro uses AI for a variety of purposes, such as automatically matching colors and managing sound mixing against voiceovers. Whats great about content creation is that humans can create unique and interesting content that AI cannot, but AI can help us augment our talents to improve the quality of the final product.

AI can also help us with image generation and manipulation tasks:

All this can be done with the help of generative adversarial networks (GANs) that learn the structure of the complex real-world data examples and generate similar synthetic examples.

Does it mean that robots can replace designers? Absolutely not. The power ofAI in designis mostly about optimization and speed. Designers armed with AI tools can work faster and more effectively.

One particular avenue of AI in content creation comes from its role in marketing campaigns via email. eBay is a particularly good example of AI email marketing, utilizing a third-party service called Phrasee andnatural language processingto improve email open rates by 15.8 percent and improve clicks by 31.2 percent.

This technology is used to optimize the subject text and headline copy automatically to find the most effective variation to use with eBays audience. The AI-generated portions of the emails are attentive to the tone of voice to maximize their success.

Aside from the fact that natural language processing is improving as years go by, AI-based email marketing at its most basic can be automated with a series of A/B testing. However, the more demographic data and natural language processing that can be incorporated into the project, the better the results. Advanced artificial intelligence algorithms can improve the dynamic optimization of email marketing greatly, as seen in eBays case.

Ultimately, the future of AIs role in marketing technologies will be determined by imagination and innovation. Combining different technologies together can result in businesses outcompeting other leading players in the market for years. At the bare minimum, understanding whats already in use is important for bringing your company up to speed to remain relevant and competitive in the market.

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Artificial Intelligence in Marketing: Boost the Growth in 2022 - IoT For All