ISS Art Blog

Get useful insigths on current tech trends (ML, IoT, AR and many others) and get familiar with our experience of handling complex project tasks

ISS Art Named by Clutch as Top-Performing Natural Language Processing Company

Natural language processing has been considered by most as an emerging technology under the subfield of artificial intelligence. It’s the discipline of integrating and working on the relationship between computers and human language. It involves repetitive tasks such as summarization, ticket classification, machine transition, and more.

Since being founded in 2003, ISS Art has been striving to help the world’s top companies and organizations turn their dreams into reality. Based in San Francisco, our team is filled with experts who can deliver bespoke solutions using artificial intelligence, software, and more.

Clutch’s 2021 research shows that ISS Art is the global leader in natural language processing. Clutch is a rapidly-growing B2B market research firm from Washington, DC. Their platform is hugely looked up to in the space for its data-driven content, client review directories, and its commitment to helping clients and service providers connect.

Each year, Clutch awards the best from different agencies, so it’s massive news to us that we were recognized for our work. According to Clutch’s Leaders Matrix, ISS Art is among the top 15 companies in this category.

Our dedication to this craft is paying off, and we are grateful for each and everyone who made this possible for us. We want to take this opportunity to advocate the importance of natural language processing and our work.

Our team wants to thank our clients who help us continue charging in the right direction. We appreciate their reviews on our Clutch profile. Their words serve as proof of our hard work and dedication to our clients.

“ISS ART is extremely responsive and capable of resolving any development issue. They were just an email away if the site went down or a specific feature didn’t function properly. Their consistent efficiency is why we engaged them for so long.” — CEO, Casting

“I’d be out of business if it weren’t for them. Maybe I could find someone else, but I don’t think I’d be able to find someone better. We’re small and we’re just getting out of the startup phase, so if they hadn’t done a good job, we might’ve failed as a business.” — Executive Director, Non-profit

Want to know more about what we can do for you? Send us a message and let’s discuss how we can help your business.

The benefits of using an offshore software development company for your business

In the last few years, outsourcing has become a successful and widespread business strategy, with enterprises only using internal staff for core business functions while asking external actors to complete an array of secondary tasks. The outsourcing industry represents 31% of IT services in the world, and the global outsourcing market generated an average of $92.5 billion in revenue between 2000 and 2019 (Statista).

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Outsourcing project: US Client hired 30+ developers from Russia and got success.

Hearing that a US Client hires 20, 30, 50 and even 100 IT specialists from Russia, Belarus or other countries of the CIS and Eastern Europe is not surprising anymore.

Nevertheless, when a Client makes the decision about where to hire developers: should they be inhouse developers, developers from local companies, or outsource developers from Russia; there are always doubts and questions “how not to miscalculate?”, “how to find reliable ones?”, “who can lead me to success?”.

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Integration Of AI In PCB Design

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In the present scenario, AI has taken the lead in the technology industry. It is easier to put to action without much man-force requirement. Dependence on AI has started to increase exponentially.

When most industries are motivated to use AI to enhance their services, why will the PCB industry stay behind?

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5 AI Revolution Benefits Entrepreneurs Should Look Forward To

Artificial intelligence (AI) is directly related to Data Science – the science about data that aims to extract value from a big mass of information. This value may reside in, for example, enhanced forecasting capabilities, discovering patterns, better decision-making. Basically, AI concerns with information processing algorithms and methodologies. Artificial intelligence operates on huge amounts of data, analyzes it, and uses gathered insight to develop solutions.

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AI Predictive Supply Chain Management

We know that efficient supply chains can be a crucial part of differentiating an organization from its competitors. But how can a company truly leverage the advances in artificial intelligence and neural networks we’ve seen in just the last decade?

Particularly for Fast Moving Consumer Goods (FMCG), supply chain trends are emerging that must not be overlooked if a company wishes to become or remain a market leader. Supply chain agility, optimization, sustainability, and ethical considerations challenge established players and give disruptive newcomers opportunities to capture significant market share. This article covers the emerging role of AI in supply chain management. We discuss how it could help companies to more effectively analyze and improve the efficiency of their operations. There is an evolving role advanced technologies play in the FMCG industry. They have potential to dramatically impact supply chain optimization and supply chain productivity.

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What are the advantages of synthetic data?

These days, everyone has heard of artificial intelligence (AI). But not everyone understands what goes into making an AI algorithm work properly. At a high level, AI (also known as machine learning), works by ingesting a large set of data called training data. Then, the AI uses an algorithm to sort through this data and discover trends. This algorithm can be a bit of a black box, and there are many variations of machine learning algorithms. But the important part to remember is that AI “trains” on a dataset. This dataset is called training data. After an AI is fully trained on a dataset, it can be applied to “test” or “application” data. That is where you will typically see AI in action.

Of those three phases (the training data, algorithm, and test data), today we will focus on training data. Specifically, we will discuss how training data is collected today, introduce an alternative called synthetic data, and examine the several advantages of synthetic data.

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ISS Art becomes the leading Custom Software Development Company of September 2020

Software development in the modern-day environment is very essential for the businesses to thrive and succeed. At ISS Art, we have paid optimal attention to master the art and science of software development so as to remain the first choice of our clients when it comes to provide digital solutions. Our consistent efforts got their acknowledgement as in a press release on the leading Custom Software Development Companies TopDevelopers.co have included us in the list of  reliable service providers for  the month of September 2020.

ISS Art, since the last 17 years has been working to enable the organizations around the world to see

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Meeting Electron.js

What is Electron.js?

Hi. I’m a junior web-developer and in this article I’ll tell you about my meeting with Electron.js, describe a couple of challenges I struggled with and share my opinion about the future of this technology.

Electron is a platform with an open source code that helps developer to create pseudo-native applications using already known technologies such as JavaScript, HTML, and CSS with Node.js runtime environment as a back-end and Chromium as a front-end. The developer of it is GitHub Inc.

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Natural Language Processing and its Application in Various Business Areas to Optimize Processes

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Why your Customer Service, Marketing and HR departments needs to use Natural Language Processing Solutions?

Command Alexa to sing you some super hit songs, and in no time, Alexa will be belting out a few musical numbers.

A miracle?

You bet! The exciting combination of Artificial intelligence and Natural Language Processing has helped machines like Alexa to offer ready-service to customers.

Much as we praise Alexa for helping us in our daily chores, the fact is machines like Alexa don’t readily understand human language.

Unlike humans, language learning is a tedious, time-consuming, and complicated process for machines. Why? For one, they tend to look at language in the form of data- loads of indecipherable, upended, and unstructured data. Another thing being, machines don’t understand grammar and context.

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