Whitepapers
Whitepapers
Discover our applications for new technologies, as well as in- depth insights into the technology landscape.
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Modernizing Customer Experience: Business Necessity and Growth Opportunity
Customers have always been the centre crown jewel of a business. In the context of the growing digital economy and the remarkable rise of the commercial Internet over the past decade, customer experience is no longer limited to traditional sales and marketing touch points. Changes in their behavior and expectations have influenced the transformation of traditional business models and accelerated the digital modernization of products and services, urging organizations to brush up their competitive edge for a seamless customer experience.
What is Software as a Medical Service (SaMD)?
The rapid advancement of technology has revolutionized the healthcare industry, introducing innovative approaches to diagnosis, treatment, and patient care. Software as a Medical Device (SaMD) has emerged as a game-changer among these transformative technologies. SaMD refers to software intended to serve medical purposes without being part of a hardware medical device. Instead, it operates independently, utilizing advanced algorithms and analytics to provide accurate and timely diagnosis, monitoring, and treatment insights.
In this white paper, we examine the regulatory framework established by the International Medical Device Regulators Forum (IMDRF) and highlight the benefits, opportunities, and how the healthcare business could be revolutionized by SaMD implementation.
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Research Paper: A Deep Learning-based Aesthetic Surgery Recommendation System
Whitepaper Overview
We propose in this paper a deep learning-based recommendation system for aesthetic surgery, composing of a mobile application, and a deep learning model. In this study, we focus on the most two popular treatments: rejuvenation treatment and eye double fold surgery. It is assumed that the outcomes of our history surgeries are perfect. Firstly a convolutional auto-encoder is trained by eye images before and after surgery captured from various angles. The trained encoder is utilized to extract learned generic eye features. Secondly, the encoder is further trained by pairs of image samples, captured before and after surgery to predict the probability of perfection, the so-called perfection score. Based on this score, the system would suggest whether some sort of specific aesthetic surgeries should be performed.
DATA MASTERY 2024: Strategy for Seamless Integration and Transformation
Whitepaper Overview
The global healthcare industry is undergoing a transformative shift. In the Asia-Pacific (APAC) region, healthcare providers are under increasing pressure to meet rising consumer demands for faster, more personalized care. Factors such as aging populations, the prevalence of chronic diseases, and a growing expectation for seamless, digital-first healthcare experiences are driving the need for innovation.
This whitepaper examines how AI and Big Data can help healthcare providers to bring forth better care and streamline operations. It also sheds light on the importance of partnering with the right vendor to overcome technological challenges and optimize resources for successful implementation.
Best Practices for App Rationalization Supporting Mergers, Acquisitions, and Divestitures
Whitepaper Overview
App rationalization strategies differ based on a company’s situation, be it merging, maintaining its current state, or divesting. Regardless of the scenario, the objective is always to optimize efficiency through technology integration, enhancement, or elimination. The consistent keys to successful app rationalization include taking inventory, formulating an effective API strategy, and managing migration and transition.
AI in Media: What Does Good Look Like?
Whitepaper Overview
In 2023, we witnessed a surge in AI innovations, propelled by the emergence of sophisticated Large Language Models (LLMs) and various other Generative AI technologies.
The influence of these advancements on our industry is inevitable, transforming job roles, altering business landscapes, and giving rise to new capabilities.
Amid the hype, it’s crucial to discern the practical impacts. What are the specific areas within AI where current or imminent capabilities can create meaningful change?
Data to Wisdom: Unified Data Management Platform for Better Decision-Making
Whitepaper Overview
Business scalability and agility are essential for organizations to adapt and thrive in today’s dynamic and competitive market. Scalability allows businesses to efficiently handle growth by expanding operations, accommodating increased demand, and taking advantage of new opportunities. Conversely, agility enables organizations to respond quickly to changing market conditions, customer needs, and emerging trends. This paper delves into the concept of data fabric and how this technology approach enables organizations to unlock the true potential of their data.
API Strategies to Support Current and Future Business Demands
Whitepaper Overview
This article provides an in-depth exploration of effective API strategies to manage application portfolios amidst evolving business environments. It emphasizes the need for a well-executed API strategy, focusing on standardization and ecosystem integration over siloed operation, including the importance of identifying patterns, creating a common data model, implementing standard frameworks; addressing security, regulatory, and compliance requirements. It also highlights the significance of governance and the adoption of a platform mindset for API strategies, underscoring the balance between the several key aspects to a successful operation.
Quick Wins with Copilot: Top 4 Potential Use Cases
Whitepaper Overview
The rise of Copilot brings a game-changing tool to businesses, revolutionizing operations and unlocking new possibilities. With its undeniable potential, Copilot presents businesses with exciting opportunities. Yet, the challenge lies in knowing where and how to start to ensure quick wins. Our top 4 potential Copilot use cases have the answers. From streamlining workflows to enhancing productivity, these curated examples illustrate Copilot’s capacity to drive tangible results. By exploring these use cases, businesses can unlock the full potential of Copilot and embark on a journey of innovation and efficiency.
Case Study: Application Management Service for a Leading Manufacturing Company in South Korea
Our client is a South Korean multinational manufacturing and services conglomerate in Seoul. Previously, when the client’s previous vendor released updates, the systems were affected, such as failure to update or new updates overriding existing customizations. To address this challenge, the client partnered with oDesk Software to provide SAP maintenance services to optimize system performance for future projects. oDesk Software helped our client optimize costs with best-shore delivery models, provided an efficient system operation, and saved significant time and effort with a standardized set of development guidelines.
Research Paper: Word-Sense Annotation Preprocessor for Improving Neural Machine Translation
Whitepaper Overview
Although neural machine translation (NMT) has recently achieved state-of-the-art performance, it is confronted with the challenge of word-sense disambiguation (WSD). This paper proposes a Korean word-sense annotation preprocessor based on a lexical-semantic network that we built as a large-scale lexical knowledge base for the Korean language. We evaluated the effectiveness of the proposed preprocessor on NMT using Korean-Japanese and Korean-English bi-directional translations. The experiments show that the proposed preprocessor significantly improves the quality of NMT systems for both the similar (Korean-Japanese) and different (Korean-English) sentence structural language pairs in terms of the BLEU and TER evaluation metrics.
Research Paper: Optimized Deep CNN Architecture for Multi-dermoscopic Diseases Classification
Whitepaper Overview
Skin cancer is one of the most common cancers all over the world. Early detection of malignant through accurate techniques and innovative technologies has a great impact on decreasing mortality rates associated with this disease. This study proposes a method using deep convolutional neural networks aiming to classify skin lesion as a multi-class classification problem. It involves three major features, namely customized batch logic, customized loss function and optimized fully connected layers. The training dataset is kept up to date including 24,530 dermoscopic images of seven categories; this is the largest dataset by far. The performances of eight proposed combined methods are evaluated by a test dataset of 2,453 images. The best combination of EfficientNetB4-CLF achieved the highest accuracy at 88.83% and mean recall at 83.66%.
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