Machine learning

Machine learning (9)

Competing with AI for jobs now?

I am not going to go into the long term future of AI because that would be highly speculative. I would rather focus on the short term future of AI, much of which is already taking place. For the purpose of this article I want to focus on AI-powered hyper-contextualization and how that impacts our realities. AI means that we can crunch insane amounts of data points together in order to map out and ultimately predict behavior. When it comes to content, this hyper-contextualization allows content to be curated according to personal taste. We already see this in social media for instance with curated feeds according to personal. political and religious preferences.


Use of AI in the Music Business

Music has and will always be an important part of society as long as human beings exist. However, as society changes in many aspects, music also evolves to meet its new needs and demands. For quite a while now, AI has been a buzzword in the technology space. It is increasingly becoming a talk of almost every industry primarily due to its ability to offer automation services, ease responsibilities and offer innovative workflows. The entry of this new technology into the music industry is important due for a few reasons. Although to some it may sound like cheap science fiction, it is true that we can have robots capable of creating songs, playing music and AI-enhanced robots writing song lyrics. Such practices are not new in the music industry.


Machine Learning and 70% Productivity Increase: The Alibaba Experiment

Machine Learning has been developed under the umbrella term of ‘Artificial Intelligence’. Essentially, it’s set to change the way businesses operate as know it. It’s already been adopted across many industries including healthcare, law, education and retail.


The Use of Artificial Intelligence by Cyber Criminals

Artificial Intelligence (AI) is responsible for technological advancements affecting many diverse aspects of society. Most of this development is focused on achieving economic or social benefits for the world’s population. As is often the case with powerful tools, there are also individuals and groups that would use the capabilities of AI and the related field of machine learning (ML) for nefarious purposes. We will take a look at a few ways where this use of technology has led to new issues and concerns by cybersecurity professionals. 


Short vs Long Resume: Does it Make a Difference to AI?

So I will hit you with a statistic - on average, experienced recruitment consultants can analyze a resume in 6 seconds. This lends to the belief that these consultants scan and look for key information to make a decision to do a deeper dive into a jobseekers career history.


Robotic Process Automation is Game Ghanger for Workflow and Processes

The idea of Robotic Process Automation (RPA) — a robotics precursor to artificial intelligence — tends to strike fear in the hearts of workers who suspect they will be replaced by robots. The reality is that is definitely not the case. There is no question that some jobs will be lost, but others will be created. In many cases, RPA will just take on extra work no one wants to do.


RPA – Robotic Process Automation Coming of Age

The financial industry is driven by new and innovative technologies that are expected to force a total change and growth to all businesses if they want to remain competitive, reduce human error and increase productivity. One such technology disrupting the financial industry is Robotic Process Automation (RPA); user-friendly software that uses artificial intelligence and machine learning capabilities to handle high volume/repetitive task and also increase credibility and efficiency.


Data from the Skies: The Influence of Drone Technology On Analytics

In their nascent days, drones were military tools for surveillance or used as weaponry. The concept soon took on novelty status as civilians began to own them. Soon, drones entered ethics discussions as their use and capabilities bumped against privacy and territory rights. The notoriety of drones used to spy on celebrities by paparazzi launched them into mainstream awareness, but this usage also established drones as a new tool for business. What other ways could drones enhance or alter work? In the construction industry, there are startling applications for drone technology to make a difference.


Predicting Machine Failure with Big Data

The fourth industrial revolution is on the rise. This time, instead of replacing human hands with machinery, companies are replacing scheduled surveys with timely repairs. Industry 4.0 includes machine learning on a variety of levels, but one of the most intriguing (and financially applicable) is predictive maintenance; the practice of predicting machine failure before it happens. Face detection, talking refrigerators, and mood-setting light bulbs are fun, but when big money talks, everybody listens.


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