Category: Industry

5 Ways Machine Learning Is Improving Manufacturing

Artificial intelligence (AI) and its subsets are benefitting tons of fields, but you’d be hard-pressed to find one that’s taking more advantage from them than the manufacturing sector. Major companies around the world are heavily investing in machine learning (ML) solutions across their manufacturing processes and seeing impressive results.

From bringing down labor costs and reducing downtime to increasing workforce productivity and overall production speed, AI – with the help of the Industrial Internet of Things – is ushering in the era of smart manufacturing. The numbers speak for themselves; recent estimates predict that the smart manufacturing market will grow at an annual rate of 12.5% between this year and next.

It certainly makes sense. Numerous businesses are already experiencing the advantages of ML in several ways and working with QA testing services to refine what they are getting out of it. Here are some examples of current implementations.

1. General process improvement

One of the first things that come to mind when thinking about ML-based solutions is how they can serve daily processes across the entire manufacturing cycle. By using this technology, manufacturers are able to detect all kinds of issues on their routine methods of production, from bottlenecks to unprofitable production lines.

By combining machine learning tools with the Industrial Internet of Things, companies are taking a deeper look into their logistics, inventory, assets and supply chain management. This brings high-value insights that uncover potential opportunities not just in the manufacturing process but in the packaging and distribution as well.

A great example of this can be found in the German conglomerate Siemens, which has been using neural networks to monitor its steel plants in search of potential problems that might be affecting its efficiency. Through a combination of sensors installed in its equipment and with the help

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Quality Assurance in Tech Startup Investing

I founded a quality assurance company in 2008 and, since then, we`ve worked on the number of projects with different levels of investment funding. Not only did these projects require multi-stage management, but product owners and investors also needed to maintain comprehensive control over progress.

Today`s competitive market leaves no options but to utilize the latest digital technologies to gain the edge over the competition. In attempts to reduce costs and accelerate product delivery, IT companies undertake a variety of initiatives. But often, instead of anticipated success, these initiatives bump into schedule, budget and development hurdles, turn into troubled projects and fail. 

Although Project Management Institute (PMI) reported a 20% decrease in project failure rates, the amount of money lost is still staggering. The report estimates nearly $97 million to be wasted for every $1 billion invested in the product.

Data from CIO estimates a 50% project failure in the IT industry. The Harvey Nash/KPMG CIO Survey found that weak ownership is one of the main reasons why 46% of IT projects never go live. This means the team lacks involvement from the executive level, while the process itself lacks sufficient control and support. However, the experience of our team says these issues aren`t the prior reason for failure. Unqualified ownership leads to poor monitoring of the development life cycle evident in 90% of the projects we`ve worked on. 

Why does project performance control matter?

Project performance control is a key aspect of successfully launching and growing a startup. Why? Because it works both ways.

  • As a product owner or investor, you`re on the safe side. 75% of IT teams anticipate project failure at the very beginning, according to Geneca research. What the survey says is that the issues of IT projects are usually hidden below the surface right

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How to Find the Right Manufacturer

When starting an e-commerce business, most startup founders have a tendency to focus on optimizing their websites and validating product value propositions.

Now, these are undeniably important tasks, and it’s a big part of what I do as a marketer. But all too often, they are prioritized at the expense of other vital tasks for e-commerce stores that plan on selling a physical product: finding the right manufacturer.

Quite simply, it doesn’t matter how good your idea is (to a certain extent). It doesn’t matter if you have a quality online platform to sell with. I’ve seen many e-commerce startups fall flat simply because they chose the wrong manufacturer for their products.

The right manufacturer will influence everything from the overall quality of your product to your ability to deliver orders on time and replenish stock in a timely manner. It’s one of the most important decisions you can make for influencing the future success of your e-commerce store. I personally have experienced the difficulties associated with hitting growth metrics and crafting quality customer experiences simply because of a sub-par manufacturer.

While this is an important decision, it’s not one that you have to make blind. The following tips are key insights that I’ve gained while working with various e-commerce brands as both a founder and a marketer that can help you find the right manufacturer for your needs:

1. Study domestic vs. overseas manufacturing.

For most e-commerce stores, one of the first decisions that needs to be made is whether you will work with a domestic or overseas manufacturer. In my experience, both options have pros and cons, meaning the right selection will typically vary from brand to brand.

Generally speaking, overseas manufacturing is going to be less expensive. It can also be easier to place high-volume orders with

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How Is the Medical Industry Using Deep Learning?

The healthcare industry continues to be a major driver of the U.S. economy, with more than $3.5 trillion spent on healthcare in 2018 alone. Researchers believe that the industry will contribute more than $5.6 trillion to the economy by 2025 as well. 

Much of this revenue comes from the medical research field, which is responsible for improving drug research, disease diagnosis and treatment protocols. Major research companies are collaborating with software development services to integrate deep learning technology into their investigations. 

Deep learning promises to transform the way that doctors review medical tests and make diagnoses, helping them identify diseases and start treatment quicker. The technology will also help pharmaceutical companies develop life-saving drugs in a shorter amount of time. 

What is deep learning?

Deep learning is a niche in the machine learning field. Machine learning is an innovative branch of computer science that combines artificial intelligence (AI) and traditional science with mathematics and statistics to create a powerful technology that can learn from experience.

Major companies in the retail, banking and logistics industries are already working with software development companies and using the technology to save money, increase efficiency and plan for the future.

Machine learning is premised on the idea that computer engineers should be able to do more than just code a program – they should be able to teach computers how to write their own programs. Additionally, these “intelligent” computers should be capable of learning from past experiences to improve their skills and the quality of their predictions.

Deep learning takes things a step further by mimicking the structure of the human brain, which is layered, or “deep.” It emulates this layered structure by creating a similar, artificial neural network with the potential to be even more powerful than cutting-edge machine learning software.

For example, the

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How to Find Customers for Your Restaurant

The food industry is continuously growing, which means the competition can be cutthroat. In this article, we explore different marketing strategies you can use to boost your restaurant revenue and maintain a steady cash flow.

It doesn’t matter if you’re new to this business or have been operating a restaurant for years. There are three things you need to do to keep your business going: attract new customers, retain existing customers and provide impeccable service. To do this, you need to use online and offline marketing strategies; serving the best food in the world is not enough to make people come knocking on your door.

Restaurant marketing has dramatically changed over the years, and some effective strategies can be expensive. Although implementing your offline and online marketing strategies can cost more than you intend to spend, every penny will be worth it, so don’t be afraid of making this investment. Consider small business funding to cover the costs. Following are several tips and strategies that you can use to increase your sales.

Online marketing strategies for restaurants

1. Take amazing photos of your restaurant’s food.

With so many restaurants to choose from, people take their time finding the restaurant that will satisfy their taste buds. What could be a better way to capture their attention than by posting vibrant, great-looking images of your restaurant’s food?

As they say, a picture is worth a thousand words, so it’s really worth investing in a good camera. Another option is to hire a professional photographer if you’re less confident about your photography skills; make sure, though, that you only use high-quality images for your website, mobile apps and social media pages.

2. Create a simple, yet highly-functional website.

You don’t need a fancy website with flashy images, moving parts and background music

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