Quality data translates to success stories while poor data quality makes for a good case study. Some of the most impactful case studies on AI functionality have stemmed from a lack of quality datasets. While companies are all excited and ambitious about their AI ventures and products, the excitement doesn’t reflect on data collection and training practices. With more focus on output than training, several businesses end up delaying their time to market, losing funding, or even pulling down their shutters for eternity.

If you’re in a similar situation (we hope not), where your AI models are failing and you’re…

The Internet of Things is expanding fast, and the amount of data generated by connected devices is growing exponentially every day. While it might be impossible to comprehend just how much data is being created by the world’s smartphones, sensors, and other electronics, if your work involves artificial intelligence, it’s not hard to spot the opportunities on the horizon.

The growing prevalence of edge devices — essentially any device that has a direct connection to the internet — along with the relatively recent emergence of 5G networks has created new use cases for AI that could transform entire industries. Healthcare…

Whenever we talk about Artificial Intelligence (AI) and Machine Learning (ML), what we instantly imagine are powerful tech companies, convenient and futuristic solutions, fancy self-driving cars, and basically everything that is aesthetically, creatively, and intellectually pleasing. What hardly gets projected to people is the real world behind all the conveniences and lifestyle experiences offered by AI.

For your device to set an alarm clock just by listening to your voice, hundreds of hours of work would have gone through at the back end — right from the time of ideation to developing prototypes and testing. And that’s just for one…

The Internet of Things is expanding fast, and the amount of data generated by connected devices is growing exponentially every day. While it might be impossible to comprehend just how much data is being created by the world’s smartphones, sensors, and other electronics, if your work involves artificial intelligence, it’s not hard to spot the opportunities on the horizon.

The growing prevalence of edge devices — essentially any device that has a direct connection to the internet — along with the relatively recent emergence of 5G networks has created new use cases for AI that could transform entire industries. Healthcare…

Artificial Intelligence (AI) is beyond making our lifestyles better through better movie recommendations, restaurant suggestions, resolving conflicts through chatbots, and more. The power, potential, and capabilities of AI are increasingly being put to good use across industries and in areas that nobody probably thought of. In fact, AI is being explored and implemented in areas such as healthcare, criminal justice, surveillance, hiring, fixing wage gaps, and more.

With such complex use cases, what becomes inevitable is the fairness associated in the entire process or ecosystem.

As humans, we resort to machines for answers, solutions, and information because of their objective…

Thanks to ongoing advancements in the fields of artificial intelligence and machine learning, computers can perform a growing number of cognitive tasks. As a result, businesses are able to rely on machines for critical functions once thought impossible to automate. In particular, the rise of conversational AI platforms such as chatbots and virtual cognitive agents has given organizations in a wide range of industries the ability to improve customer support and HR activities — and these platforms are only getting smarter.

Interest in conversational AI skyrocketed in 2020, as did corporate investment in machine learning platforms. This was in large…

By Vatsal Ghiya

Much has been made about the potential for artificial intelligence to transform the healthcare industry, and for good reason. Sophisticated AI platforms are fueled by data, and healthcare organizations have that in abundance. So why has the industry lagged behind others in terms of AI adoption?

That’s a multifaceted question with many possible answers. All of them, however, will undoubtedly highlight one obstacle in particular: large amounts of unstructured data.

Let’s forget some of the most complex Artificial Intelligent (AI) systems out there, such as those in self-driving cars, robotic arms, and more, for a while and just focus on the systems on our smartphones. Consider a comparatively simpler application like Google Lens, which uses computer vision for image annotation and recognition, to show you information on the photos you click using your device’s camera and more. With translation features, this application represents the commercial application of AI in its finest form.

However, what appears simple is tedious to develop and deploy like any other complex AI system. Before your…

Behind Every AI Headline Is an Annotation Process, and Shaip Can Help Make It Painless

We’ve often called data the fuel for AI projects, but not just any data will do. If you need rocket fuel to help your project achieve liftoff, you can’t put raw oil in the tank. Instead, data (like fuel) needs to be carefully refined to ensure that only the highest-quality information powers your project. That refinement process is called annotation, and there exist quite a few persistent misconceptions about it.

The companies taking on AI projects are fully bought into the power of automation, which is why many continue to think that auto-annotation driven by AI will be faster and…

It’s been said that data is the new oil, and just like the old oil, data requires an intensive refinement process before it can fuel your Artificial intelligence engine. Your team members currently spend between 70% and 80% of their time trying to find high-quality data and transform it into a workable format, and more than three-quarters of them find it to be the least enjoyable aspect of the job, according to CrowdFlower.

With Shaip managing end-to-end data creation and transformation, we can supply you with the most potent rocket fuel available while freeing your data scientists and AI engineers…

Shaip

Shaip is an end-to-end AI training data ecosystem. We use our platform, processes, and people to help companies launch their most demanding AI initiatives.

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