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In The Media
3 Methods Of Automatic Data Labeling In Machine
Every AI system needs massive volumes of quality data to train and deliver accurate results. Now, there are two keywords in this sentence - massive volumes and quality data. Let’s discuss both individually.
Identifying The Fundamental Challenges Involved In AI Adoption
All conversations and discussions so far on the deployment of artificial intelligence for business and operations purposes have only been superficial. Some talk about the benefits of implementing them while others discuss how an AI module can increase productivity by 40%. But we hardly address...
How AI and machine learning help fight the
It is hard to imagine fighting a global pandemic without technologies such as Artificial Intelligence (AI) and Machine Learning (ML). The exponential rise of Covid-19 cases around the world left many health infrastructures paralyzed. However, institutions, governments, and organizations were able to fight back with...
AI Creates Space for Equality in Pain Management
Pain is experienced more intensely among certain groups of people. Studies have shown that individuals from minority and underprivileged groups tend to experience more physical pain than the general population due to stress, overall health, and other factors.
Budgeting For Your AI Training Data: Consider These
Before you even plan to procure the data, one of the most important considerations in determining how much you should spend on your AI training data. In this article, we will give you insights to develop an effective budget for AI training data.
Healthcare AI, Limiting Biases, and Gold Standard Data
Shaip is an online platform that focuses on healthcare AI data solutions and offers licensed healthcare data designed to help construct AI models. It provides text-based patient medical records and claims data, audio such as physician recordings or patient/doctor conversations, and images and video in...
3 Steps to Overcome Common AI Application Development
Data is one of the most important elements in developing an AI algorithm. Remember that just because data is being generated faster than ever before doesn’t mean the right data is easy to come by. Low-quality, biased, or incorrectly annotated data can (at best) add...
3 Strategies for AI Development Teams to Make
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...
The Most Prominent Image Annotation Techniques And Their
However, what appears simple is tedious to develop and deploy like any other complex AI system. Before your device could recognize the image that you capture and the Machine Learning (ML) modules could process it, a data annotator or a team of them would have...
What Is the Future of AI? 3 Factors
In this special guest feature, Vatsal Ghiya, CEO and co-founder of Shaip, explores the three factors that he believes will allow data-driven AI to reach its full potential in the future: the talent and resources necessary to construct innovative algorithms, an immense amount of data...
Effective Tips To Build A Training Data Strategy
Processes in Artificial Intelligence (AI) systems are evolutionary. Unlike other products, services, or systems in the market, AI models don’t offer instant use cases or immediately 100% accurate results. The results evolve with more processing of relevant and quality data. It’s like how a baby...
Why Artificial Intelligence is incomplete without Data Annotation
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...
Utsav Shah, Business Head – APAC & Europe,
An exclusive interview where Utsav, Business Head - Shaip interacts with Sunil, Executive Editor, My Startup to brief him on how Shaip enhances human life by solving the problems of the future with its Conversational AI and Healthcare AI offerings. He further states how AI,...
AI can accomplish incredible things when leaders focus
The Covid-19 pandemic may have created economic uncertainty, but it’s a testament to the incredible excitement surrounding AI innovation that investments in the space largely weathered the storm: Just 7 percent of investments decreased, and 16 percent were temporarily suspended in 2020, while 47 percent...
How To Handle Bias In Machine Learning?
Artificial Intelligence (AI) is 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...
6 Ways to Build AI That Incorporates Integrity,
We’ve all seen what happens when AI development goes awry. Consider Amazon’s attempt to create an AI recruiting system, which was a great way to scan résumés and identify the most qualified candidates — provided those candidates were male.
What entrepreneurs can learn from the Healthcare Industry’s
The healthcare industry was put to the test last year due to the pandemic, and a lot of innovation shone through—from new drugs and medical devices to supply-chain breakthroughs and better collaboration processes. Business leaders from all areas of the industry found new ways to...
The performance of your Facial Recognition model depends
We’ve seen them in films, we’ve read about them in books and we’ve experienced them in real life. As sci-fi as it may seem, We have to face the facts – facial recognition is here to stay. The tech is evolving at a dynamic rate...
Understanding the Importance of High-Quality data to build
Multilingual chatbots are transforming the business world. Chatbots have come a long way since their early stages, where they’d provide simple one-word answers. A chatbot can now chat fluently in dozens of languages, allowing businesses to expand into a wider global marketplace.
The keys to unlocking Healthcare AI’s vast potential
Healthcare is often thought of as an industry on the cutting edge of technological innovation. That’s true in many ways, but the healthcare space is also highly regulated by sweeping legislation such as GDPR and HIPAA, along with many more local guidelines and restrictions.
Data Annotation – Outsourcing v/s In-house – ROI
A 2018 report revealed that we generated close to 2.5 quintillion bytes of data every single day. Contrary to popular belief, not all the data we generate can be processed for insights.
How to get started with Data Annotation: Choosing
Artificial intelligence is getting smarter by the day. Today, powerful machine learning algorithms are within reach of normal businesses, and algorithms requiring processing power that would once have been reserved for massive mainframes can now be deployed on affordable cloud servers.
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