Last year, a Gartner report on the artificial intelligence (AI) industry found that a shocking 85 percent of AI projects will not deliver the expected result. Despite all the buzz around AI, it would appear that very few businesses are actually using it successfully. Perhaps it’s no surprise, then, that another industry research report found […]
Artificial intelligence is a branch of computer science and describes the independent execution of a task by a machine, for which usually a human-like level of intelligence is needed for the solution.
The interest in the topic of artificial intelligence has been rising again for the first time since 2016 and because of almost daily new reports in current journals about further progress and new successes in the field of technology and new, promising applications in public perception. The discipline is not new and can be traced back to the first half of the 20th century.
The focus is on maximizing customer satisfaction based on the added value achieved by machines. Thus, simultaneously with the penetration of artificial intelligence into our society, the ethical question of possible discrimination by algorithms or unbalanced data comes to the fore. Here, the department is still in its infancy and is in constant change and progress.
Machine learning belongs to the family of artificial intelligence. Also in this area of expertise is so-called representation learning, ie machine pattern recognition, which also includes shallow networks and deep learning.
The goal of deep learning is to develop a computational model that has the task of optimally connecting input neurons, predictors, and classes.
In our recent blog post on ethics in artificial intelligence (AI), we cited a few examples where AI systems deployed in businesses made decisions that resulted in discrimination and racism. The AI industry is, in fact, filled with examples of AI simply getting something wrong, sometimes with disastrous outcomes, such as when a self-driving car […]
We recently discussed some of the ethical challenges facing the development and deployment of artificial intelligence (AI) systems. One area of AI ethics in particular that demands more attention and scrutiny is data privacy. This is especially true in the age of Facebook and its connection with Cambridge Analytica. In case you’re unfamiliar with this […]
For all the talk about artificial intelligence (AI) transforming how businesses operate, compete, and grow, there are still many questions that need to be asked and answered if we are to truly unleash the power of this still new technology. It’s true that we’re a long way off from ultra-powerful (and potentially malevolent) AIs like […]
The old adage, “Faster, better, cheaper. Pick one,” may be soon outdated thanks to advances in artificial intelligence (AI), especially for e-commerce businesses. Traditionally, these are the three areas where businesses can compete. A business can deliver a product faster, but more expensively and at a lower quality. Or it can deliver a higher-quality product, […]
An approach grown out of DevOps to guide project management in the age of AI is DeepOps, a project management toolkit for AI-driven projects.
Machine learning recommendations are an important part of any business as it can significantly increase both sales and engagement.
The expectations for success in the use of artificial intelligence are high and unfortunately many aspiring programs are not expected.
Here at All.in Data, we specialize in integrating artificial intelligence (Ai) into business processes to make them more efficient and effective. This approach ultimately helps businesses either grow their revenues, cut costs, or become more competitive in the marketplace (or a combination of all three). To accomplish this, we develop and deploy solutions as part […]
In today’s business world, there is an increasing demand for artificial intelligence (AI)-driven solutions. From manufacturing, to retail, to healthcare, to finance, and in many other industries, artificial intelligence is rapidly transforming how organizations operate. However, these approaches are hampered by the application of inappropriate project management methods such as known approaches from software development […]