Bioprinting and Robotics Engineering

Whig, Pawan; Kouser, Shama; Bhatia, Ashima Bhatnagar; Nadikattu, Rahul Reddy; Alkali, Yusuf Jibrin

doi:10.1002/9781394204878.ch14

Computational Intelligence in Bioprinting 2024

DOI: 10.1002/9781394204878.ch14

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Bioprinting and Robotics Engineering

Pawan Whig,

Shama Kouser,

Ashima Bhatnagar Bhatia

et al.

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2024

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Cited by 6 publications

References 29 publications

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Strategic Utilization of Analytics by Driving Business Value and Competitive Edge

Whig,

Yathiraju,

Jain

et al. 2024

Advances in Business Information Systems and Analytics

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In today's data-driven business landscape, the strategic utilization of analytics has become paramount for organizations seeking to gain a competitive advantage and drive business value. This chapter explores the transformative potential of leveraging analytics strategies to extract insights, make informed decisions, and propel organizational growth. The authors delve into various facets of analytics, including descriptive, diagnostic, predictive, and prescriptive analytics, elucidating their roles in uncovering trends, understanding customer behavior, and optimizing operations. Additionally, they examine the importance of data quality, governance, and ethics in ensuring the reliability and integrity of analytics initiatives. Through real-world case studies and examples, they illustrate how organizations across industries harness analytics to enhance decision-making, innovate products and services, and differentiate themselves in the marketplace. Moreover, they explore emerging trends and technologies shaping the future of analytics.

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Strategic Utilization of Analytics by Driving Business Value and Competitive Edge

Whig,

Yathiraju,

Jain

et al. 2024

Advances in Business Information Systems and Analytics

View full text Add to dashboard Cite

show abstract

Artificial Intelligence for Dietary Management

Gami,

Sharma,

Bhatia

et al. 2024

Advances in Medical Diagnosis, Treatment, and Care

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Artificial intelligence (AI) is increasingly becoming a pivotal tool in the field of dietary management, offering innovative solutions for personalized nutrition and health optimization. This chapter examines the application of AI technologies in managing dietary habits and improving nutritional outcomes. It covers the various AI techniques, including machine learning, natural language processing, and computer vision, used to analyze and interpret vast amounts of dietary data. The authors discuss how AI can provide tailored dietary recommendations, monitor eating behaviors, and predict nutritional deficiencies. Real-world examples and case studies are presented to demonstrate the efficacy and potential of AI-driven dietary management systems. By integrating AI into dietary management, this chapter highlights the transformative potential of intelligent systems in enhancing individual health and preventing diet-related diseases.

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AI for Food Safety

Vegesna,

Prabhakaran,

Whig

2024

Advances in Medical Diagnosis, Treatment, and Care

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Artificial intelligence (AI) is revolutionizing the field of food safety by providing advanced tools and techniques to ensure the integrity and safety of the food supply chain. This chapter delves into the applications of AI in food safety, highlighting how AI technologies, including machine learning, computer vision, and predictive analytics, are employed to detect contaminants, prevent foodborne illnesses, and ensure compliance with safety standards. The authors explore various AI-driven approaches for real-time monitoring, data analysis, and risk assessment within the food industry. Case studies and examples from real-world implementations demonstrate the effectiveness of AI in identifying potential hazards and improving overall food safety protocols. By integrating AI into food safety practices, this chapter illustrates the transformative potential of intelligent systems in safeguarding public health and enhancing the reliability of food products.

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Bioprinting and Robotics Engineering

Cited by 6 publications

References 29 publications

Strategic Utilization of Analytics by Driving Business Value and Competitive Edge

Strategic Utilization of Analytics by Driving Business Value and Competitive Edge

Artificial Intelligence for Dietary Management

AI for Food Safety

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