Structured vs. Unstructured Data: What’s the Difference?

Businesses run on data. Data is so integrated into our daily lives that, most of the time, we don’t even realize just how often we use it to perform basic tasks and make decisions. Some of the ways we use data on a regular basis include:

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Understanding Image Recognition and Its Uses cases

Vision is easy for human brains. We can easily tell apart a tree, a bus, a dog, or an airplane. But its not the same with computers. It takes a lot of effort and skill to teach machines to ‘see’ like us. But humans have been successful in doing so. We have enabled machines with our natural skills to see, learn by example, and understand the world. With the help of computer vision and image recognition, we have taught machines to perform tasks involving vision. And when this capability is brought into businesses with a practical purpose, all this effort is worth it. 

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Computer Vision Advantages and Disadvantages

Artificial intelligence encompasses several different approaches to solving problems. Computer vision, object detection, natural language processing, and other types of artificial intelligence help businesses and individuals automate processes, improve accuracy, and work more efficiently. The subset of AI known as computer vision centers around visual processing and offers benefits in a range of applications. 

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When Do You Need AI Consulting?

There’s a lot of buzz about artificial intelligence (AI) and the many benefits it offers to the organizations that use it. Most recently, AI has been leveraged in the healthcare industry in response to the global pandemic for mapping, to accelerate diagnoses, and to predict health outcomes. Although the technology is not brand-new (it has been around since the 1950s), the concept of AI still feels inaccessible to many.

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Understanding 3 Types of Machine Learning Algorithms

Machines learn through algorithms—sets of rules or instructions—that allow them to continually improve through experience. In contrast to programming, which can tell a machine to do a specific task in the same way over and over, machine learning algorithms modify themselves over time based on the original goal set and previous results. 

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10 Benefits of Machine Learning in E-Commerce

No matter what types of products you sell, staying competitive in e-commerce requires constant attention across multiple departments. Sales teams need to know product details, marketing teams must be mindful of popular search terms, product teams must stay on top of trends, and IT teams are responsible for making sure the site is always functional and fast. All of this will always require a certain degree of time and skill, but some tasks, especially the most repetitive ones, can be better handled with machine learning. 

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Deep Learning improving Quality Control in Manufacturing

With the increased demand in the market for goods and services, the manufacturing industry is pressurized to produce and supply mass production. This has demanded industries to speed up the manufacturing process and deliver standard quality goods buy-able to customers.

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How Artificial Intelligence Is Transforming Agriculture

Agriculture is how humans started to mold nature according to their needs. Humanity may have come a long way since then, changing the ways and methods of farming, but the basic objective remains the same; improving the quality of crops.

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Workplace Safety on a Manufacturing Shop Floor Using Computer Vision

Just a few decades ago, workplace safety in manufacturing used to be an afterthought. Workers in the manufacturing industry may recall many near-miss accidents that have occurred, especially related to heavy equipment and lack of safety controls. 

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Automated Image Tagging In E-commerce Using Machine Learning

Image recognition, machine learning and visual search have changed the way we interact with the world. This latest development in machine learning has transformed the e-commerce industry. Automated tagging of images play a crucial role in visual search. In an age of instant gratification, consumers follow the snap, find, and shop technique. The user clicks a product picture, finds a similar item on an app, and purchases it. Discovering products becomes much easier using tagged images rather than text-based keywords.

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