Matthew McMullen
Bio
11+ Years Experience in machine learning and AI for collecting and providing the training data sets required for ML and AI development with quality testing and accuracy. Equipped with additional qualification in machine learning.
Stories (38)
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Generative AI Models: Steps to Generate a Successful AI Model
Generative AI refers to the creation of artificial systems capable of generating new data or content in the same way that humans do. Images, music, speech, text, and video annotation other types of data can be generated utilizing Generative AI technology.
By Matthew McMullen 3 years ago in Journal
AI in Finance 2023 – 5 Benefits for Better Banking
Despite the long-standing technology dependence and the data-intensive nature of the banking sector, data-enabled artificial intelligence (AI) technology can offer a faster and more efficient way to drive ease and efficiency of transacting banking and financial services. Now it is well known that employing AI in finance & banking can contribute to improving productivity, enabling a growth agenda, enhancing differentiation, managing risks and regulatory requirements, and impacting the customer experience positively.
By Matthew McMullen 3 years ago in Humans
E-commerce in 2023 — Top 5 Tech Trends that will Reshape the Industry
The E-commerce industry has been at the forefront of the transformation in the era of technology — it has reshaped everything from how customers shop to how the whole e-commerce things operate. Technology has led to significant changes in the e-commerce and retail industries over the past few years. Consumers now have more access to information, are better informed, and are empowered — thanks to the internet, mobile devices, and social media.
By Matthew McMullen 3 years ago in Education
How Image Labeling Services Can Empower Computer Vision
There is no comparison between the ability of machine eyes and that of humans to distinguish objects. A machine learning application’s visual perception can be improved by image labeling for machine learning.
By Matthew McMullen 3 years ago in Education
Five Ways to Increase Accuracy of Machine Learning Model
Machine Learning (ML) model accuracy is the most important factor that makes such developments successful and reliable in the market. The more accurate the model, it will give the precise results in various scenarios making such a model more meaningful and relevant to enrich the customer experience when used in real life.
By Matthew McMullen 3 years ago in Journal
Why Should Your Business Consider Content Moderation?
User-generated content (UGC) is becoming an integral part of the decision-making process for customers when choosing a product or service. Almost half of the consumers think user-generated content is more trustworthy than any other form of media, and even 35% say it is more memorable than any other source.
By Matthew McMullen 3 years ago in Journal
Insightful Interpretation of Machine Learning Datasets
It is possible to simulate human intelligence in machines with artificial intelligence (AI) and machine learning (ML). These simulations allow them to complete a variety of tasks without much human assistance - Companies need precise training data if they are to develop AI and ML models that are more efficient and newer. It is possible to gain a better understanding of a given problem through the use of training datasets which can subsequently be enriched through data annotation and labeling for further use as artificial intelligence (AI) training data.
By Matthew McMullen 3 years ago in Journal
Training Data to Employ AI in Healthcare
As artificial intelligence (AI) becomes an increasingly important tool in health care, it offers unprecedented opportunities for improving patient outcomes, reducing costs, and impacting population health. There are many examples, including automation, delivering a simple synthesis of complex health information to patients, families, and caregivers, and providing recommendations and visualizations for shared decision-making among patients, family members, and health professionals.
By Matthew McMullen 3 years ago in Journal
Annotation Strategies for Computer Vision Training Data
It is well known that data science teams dedicate significant time and resources to developing and managing training data for AI and machine learning models — and the principal requisite for it is high-quality computer vision datasets. It is common for problems to stem from poor in-house tooling, labeling rework, difficulty locating data, and difficulties in collaborating & iterating on distributed teams’ data.
By Matthew McMullen 3 years ago in Proof
AI in Healthcare: Trends and Applications
Growing populations around the world are experiencing (and contributing to) a shortage of healthcare workers, and the gap is expected to widen in the future. “The world will be short of 12.9 million healthcare workers by 2035; today, that figure stands at 7.2 million,” as per a recent report by the World Health Organization (WHO). Globally, billions of people will suffer serious health consequences if the findings in today’s WHO report are not addressed. Experts believe that integrating technology into healthcare and digitalizing the system can address future challenges.
By Matthew McMullen 3 years ago in Journal
Challenges to Successful AI Implementation in Healthcare
– By Benjamin Bell (Scottish Scientific Surgeon) Artificial intelligence (AI) and machine learning (ML) have received widespread interest in recent years due to their potential to set new paradigms in healthcare delivery. It is being said that machine learning will transform many aspects of healthcare delivery, and radiology & pathology are among the specialties set to be among the first to take advantage of this technology.
By Matthew McMullen 3 years ago in Journal
Incorporating Sentiment Analysis into E-commerce
Studying users’ behavior and understanding their sentiments have become substantial to businesses with the increasing platforms operating in the digital space and users’ traffic rapidly growing on these online platforms. The Internet replaced sources such as friends, relatives, and consumer reports which used to be the primary sources of opinions on products and services. As a method of determining users’ opinions and subjectivity, sentiment analysis is an emerging new source.
By Matthew McMullen 3 years ago in Journal
