ANIMOTO Video: Human Digital Twin (HDT) in Healthcare

-

 

Comments

Post a Comment

Popular posts from this blog

Think Tanks

-
Image
  Lewis (2019) describes think tanks, also known as think factories, idea factories, reflection pools, or policy institutes, as organizations where scholars representing different disciplines assemble to think without any restrictions, conduct research associated with specific issues, ideas, and policies (Aly, 2019; Whittenhauer, n.d.).   Think tanks conduct research, generate ideas, debate issues, and monitor public policy by means of implementing various strategies, which are associated with the business model utilized by the think tank, such as consulting, advocacy, research, and contract efforts (Lewis). There are four types of think tanks as follows: (1) Ideological or advocacy tanks are organizations where problem solving is rooted on an ideological philosophy, (2) Specialist tanks are institutes with a specific focus or theme, such as the environment or foreign policy, (3) Subnational tanks are government-related entities that typically work on specific state policies, ...
Read more

The Rise of Data Scientists

-
Image
  Data science has been used in physics and astronomy, but it is being applied to businesses and finance, manufacturing, and other fields. The demand for data science professionals exploded about two decades ago when businesses began collecting massive amounts of data,  and a shortage of talented individuals, or data scientists, with a specific set of skill sets able to extract the most benefit from the available data (World Data Science, 2022). Data science is a multi-disciplinary field that converges programming, mathematics, statistics, computer science domain expertise, and communication skills, yet seldom organizations are able to find a data scientist that excels at all of them (Bansal, 2021; World Data Science, 2022).  The World Data Science Initiative (2022) reports data science jobs were expected to grow by 364,000 in 2020, but the real number came in at 2,720,000. Data scientists became part of the solution to address the challenges of growing organizational da...
Read more

Big Data Analytics in the Banking Industry

-
Image
  The implementation of big data analytics (BDA) in organizations is a costly and complex undertaking, and given there is no recipe that guarantees a successful implementation and execution, a careful and honest assessment of different aspects of the business must be conducted, from the technology, data collection, the human resources involved in the process, and managerial support (Hajiheydari et al., 2021). Hajiheydari et al. state that approximately 60% to 85% of BDA projects fail not because the technology is bad, but because organizations do not have a clear understanding of how to utilize data analytics to construct achievable business goals,  or how to successfully integrate its practice with day-to-day business operations (Sun et al., 2020). BDA offers financial institutions countless benefits, and provides valuable insights to personalize customer service via the analysis of transactional records and other data, including social media information (Flynn, 2020; Sun et ...
Read more