Employing Artificial Intelligence and Algorithms in the Digital Lending Industry

2020 ◽  
pp. 43-70
Author(s):  
Thaisaiyi Zephania Opati
Keyword(s):  
Artificial Intelligence ◽  
Value Chain ◽  
Bottom Line ◽  
Practical Solution ◽  
Repetitive Activities

Lenders employ AI and algorithms in analyzing the potency for loan advancement. AI and algorithms are seen as efficient, and banks seem to be adopting or exploring the AI applications and algorithms to manage risk and cut bottom line cost, thus replacing costly, laborious, and repetitive activities along the value chain. The chapter offers practical solution to the practitioners and stakeholders on identifying customers associated with consumer risky default behaviors. It then advises on how to deal with these issues and what banks should employ to curb risky borrowing behavior.

scholarly journals AI MSK clinical applications: spine imaging

2021 ◽  
Author(s):  
Florian A. Huber ◽  
Roman Guggenberger
Keyword(s):  
Artificial Intelligence ◽  
Clinical Application ◽  
Value Chain ◽  
Clinical Applications ◽  
Status Quo ◽  
Use Cases ◽  
Musculoskeletal Imaging ◽  
Future Perspective ◽  
Spine Imaging ◽  
The Status

AbstractRecent investigations have focused on the clinical application of artificial intelligence (AI) for tasks specifically addressing the musculoskeletal imaging routine. Several AI applications have been dedicated to optimizing the radiology value chain in spine imaging, independent from modality or specific application. This review aims to summarize the status quo and future perspective regarding utilization of AI for spine imaging. First, the basics of AI concepts are clarified. Second, the different tasks and use cases for AI applications in spine imaging are discussed and illustrated by examples. Finally, the authors of this review present their personal perception of AI in daily imaging and discuss future chances and challenges that come along with AI-based solutions.

scholarly journals Early Adopters to Early Majority - What's Driving the Artificial Intelligence and Machine Learning Powered Transformation in Financial Services?

2021 ◽  
Vol 12 (4) ◽  
pp. 43
Author(s):  
Srikrishna Chintalapati
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Portfolio Management ◽  
Value Chain ◽  
Financial Services ◽  
Retail Banking ◽  
Early Adopters ◽  
Customer Life Cycle ◽  
Digital Disruption ◽  
The Impact

From retail banking to corporate banking, from property and casualty to personal lines, and from portfolio management to trade processing, the next wave of digital disruption in financial services has been unleashed by the concepts and applications of Artificial Intelligence (AI) and Machine Learning (ML). Together, AI and ML are undoubtedly creating one of the largest technological transformations the world has ever witnessed. Within the advanced streams of research in AI and ML, human intelligence blended with the cognitive reasoning of machines is finally out of the labs and into real-time applications. The Financial Services sector is one of the early adopters of this revolution and arguably much ahead of its leverage compared to other sectors. Built on the conceptual foundations of Innovation diffusion, and a contemporary perspective of enterprise customer life-cycle journey across the AI-value chain defined by McKinsey Global Institute (2017), the current study attempts to highlight the features and use-cases of early-adopters of this transformation. With the theoretical underpinning of technology adoption lifecycle, this paper is an earnest attempt to comment on how AI and ML have been significantly transforming the Financial Services market space from the lens of a domain practitioner. The findings of this study would be of particular relevance to the subject matter experts, Industry analysts, academicians, and researchers focussed on studying the impact of AI and ML in the financial services industry.

Moving towards “Slow Food”, the new frontier of culinary innovation in India

2016 ◽  
Vol 8 (4) ◽  
pp. 444-460 ◽  
Author(s):  
Sandeep Munjal ◽  
Sanjay Sharma ◽  
Pallavi Menon
Keyword(s):  
Supply Chain ◽  
Value Chain ◽  
Positive Impact ◽  
Round Table Discussion ◽  
Bottom Line ◽  
Slow Food ◽  
Content Type ◽  
Hospitality Sector ◽  
Integrated Supply Chain ◽  
Backward Integration

Purpose The paper aims to research the current understanding of Slow Food in the Indian hospitality sector and to identify how the industry can embrace the concept and its sustainability. To begin, underpinnings are considered in relation to traditional, locally produced food for patrons that is actually “farm to fork” in terms of its delivery model as evidenced by backward integration in the supply of key ingredients. The economics of the backward integration is analysed to measure its impact on businesses’ bottom-line in the context of an inflationary economy. Design/methodology/approach Existing published literature is reviewed with reference to the “Slow Food movement” from both an international and Indian perspective. Vedatya’s approach to sustainable culinary value chain creation and its applicability for industry adoption with an intent to offer Slow Food on commercial menus is documented and discussed. A round table discussion with key food and beverage leaders is also documented and analysed to establish the current state of awareness and readiness of the sector to offer “Slow Food” through an integrated supply chain in India. Findings Slow Food as a concept is new to India; there is a huge shift in many parts of the world towards food that is fresh, traditional and drawn from locally available ingredients. This research shares Vedatya’s experience in developing an integrated value chain that can provide a sustainable Slow Food model for the Indian hospitality and restaurant sector to deploy with a positive impact on profitability too. Research limitations/implications There is need for more research to better understand the feasibility of hospitality businesses working on supply chain with backward integration, to offer “Slow Food” to consumers. While there seems to be a demand for traditional food, this paper does not research that aspect; further research is required to ascertain the potential demand for Slow Food in India. Practical implications The popularity of Slow Food is global; however, the Indian hospitality sector is yet to warm up to this potential. The customer focus on healthy, traditional, fresh food opens an opportunity to innovate, and businesses that build capacity to offer real farm-to-fork menus can become market leaders and will reap bottom-line benefits through lower input costs because of supply chain integration. Originality/value This paper is unique in terms of offering a discussion on the potential of Slow Food as the next realm of culinary innovation in India. It also adds value by sharing the Vedatya experience in terms of developing an integrated supply chain that facilitates the Slow Food offering in a farm-to-fork format. The model can be emulated by commercial hospitality businesses resulting in cost advantages and higher satisfaction levels of customers.

Lean Logistics of the Transportation of Fresh Fruit Bunches (FFB) in the Palm Oil Industry

2019 ◽  
pp. 1078-1090
Author(s):  
Cheah Cheng Teik ◽  
Yudi Fernando
Keyword(s):  
Palm Oil ◽  
Value Chain ◽  
Oil Industry ◽  
Fresh Fruit ◽  
Bottom Line ◽  
Sustainable Performance ◽  
Sustainable Logistics ◽  
Lean Logistics ◽  
Fresh Fruit Bunches ◽  
And Performance

The purpose of this chapter is to assess the efficiency, effectiveness, and performance of logistics in transportation of fresh fruit bunches (FFB) in Malaysian estates, which are the growing logistics hubs in plantation management. It also identifies various factors that significantly affect the efficiency, effectiveness, and performance of the Malaysian estate logistics and proposes ways to improve their competitiveness. This study shall empirically explore the causal relationships between lean logistics and triple bottom line on sustainable logistics performance in transportation of FFB in the palm oil industry. The objective is to examine the current state of sustainability efforts within the field of value chain, more specifically logistics performance, and to identify opportunities and provide recommendations for the palm oil industry to follow sustainable performance. This study also aims to stimulate further research within the area of sustainable logistics performance.

scholarly journals Advancements in Food Technology Using Artificial Intelligence- Deep Learning

2021 ◽  
pp. 1-9
Author(s):  
Viola A. Nwachukwu Nicholas-Okpara ◽  
Adaeze Joy Ubaka ◽  
Maryam Olanshile Adegboyega ◽  
Ifesinachi Anastacia Utazi ◽  
C. E. Chibudike ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Value Chain ◽  
Food Processing ◽  
Food Industry ◽  
New Technologies ◽  
Maximum Efficiency ◽  
Great Relevance ◽  
Increasing Demand ◽  
Efficiency And Productivity

The food industry has continued to evolve in terms of technologies employed in food processing. These advancements are because of increasing demand of food. Many industries are beginning to explore new technologies to enhance maximum efficiency and productivity across the food value chain. Artificial Intelligence (AI) is one of the emerging technologies that have found great relevance in the food sector. AI is simply the creation of smart machines capable of exhibiting human intelligence. This technology uses algorithms like machine learning and deep learning to mimic human behavior. AI has continued to find relevance in food processing and has proven to be an added advantage to the industry. In this article, we considered the relevance of AI to the food industry, its various applications in food processing, benefits, and setbacks to its adoption in the food industry.

scholarly journals Influence of Responsible Supply Chain Management Behaviours and Economic Performance among Pharmaceutical Companies in China

2020 ◽  
pp. 116-127
Author(s):  
Maxwell Opuni Antwi ◽  
Lulin Zhou ◽  
Charles Kwarteng Antwi
Keyword(s):  
Supply Chain ◽  
Energy Consumption ◽  
Economic Performance ◽  
Value Chain ◽  
Waste Treatment ◽  
Pharmaceutical Companies ◽  
Bottom Line ◽  
Chain Management ◽  
Waste Discharge ◽  
Environmental Accidents

Most organizations exist in order to make a profit or economic gains. Thus economic performance of an enterprise is the ultimate of all the numerous activities that are undertaken. It is the bottom line of the value chain and the lifeblood of every business. Pharmaceutical companies in China also exist in order to make a profit, but profitability is not the only economic element that is of interest to pharmaceutical organizations. According to Schaltegger et al. (2014), economic performance relates to the manufacturing plant's ability to reduce costs associated with energy consumption, purchased materials, waste treatment, waste disposal, waste discharge, and fines or penalties for environmental accidents (Zhu et al., 2008a; Schaltegger et al., 2014).

Lean Logistics of the Transportation of Fresh Fruit Bunches (FFB) in the Palm Oil Industry

2018 ◽  
pp. 5422-5432
Author(s):  
Cheah Cheng Teik ◽  
Yudi Fernando
Keyword(s):  
Palm Oil ◽  
Value Chain ◽  
Oil Industry ◽  
Fresh Fruit ◽  
Bottom Line ◽  
Sustainable Performance ◽  
Sustainable Logistics ◽  
Lean Logistics ◽  
Fresh Fruit Bunches ◽  
And Performance

The purpose of this paper is to assess the efficiency, effectiveness and performance of logistics in transportation of Fresh Fruit Bunches (FFB) in Malaysian estates which are the growing logistics hubs in plantation management. It also identifies various factors that significantly affect the efficiency, effectiveness and performance of the Malaysian estate logistics and proposes ways to improve their competitiveness. This study shall empirically explore the causal relationships between Lean Logistics and Triple Bottom Line on Sustainable Logistics Performance in transportation of FFB in the Palm Oil Industry. The objective is to examine the current state of sustainability efforts within the field of value chain, more specifically logistics performance, and to identify opportunities and provide recommendations for the palm oil industry to follow sustainable performance. This study also aims to stimulate further research within the area of sustainable logistics performance.

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