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Machine Learning and AI Archives - Page 2 of 7 - VARTEQ Inc

January 15, 2021

Top Healthcare Trends For 2021

2020 has been a disruptive year for the healthcare industry: the COVID-19 outbreak has revealed the sector’s core vulnerabilities and acted as a catalyst for its modernization. The pandemic has also rendered inaccurate most of the previous long-term predictions. Yet, in 2021 most of the major digital healthcare trends of the previous years will remain

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January 4, 2021

Looking Back at 2020 in E-Learning: Top Challenges and Achievements

The year 2020 has created a major incentive for both K-12 and the corporate sector to adopt e-learning. With over 1.2 billion children in 186 countries out of the classroom, the COVID-19 lockdown has forced educators to search for digital alternatives. Despite the numerous inconveniences of the online and hybrid format, e-learning has enabled educators

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December 23, 2020

2020 in the Healthcare Industry: Top Challenges and Achievements

2020 has taught us to expect the unexpected and has also revealed the shortcomings of the healthcare system  – both in the US and worldwide. In this article, we will reflect on the impact of the year 2020 on the healthcare industry, and look at its challenges and achievements from the technology perspective. Read on

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November 20, 2020

Unveiling the Potential of Embedded Development for Healthcare

Despite the numerous challenges, such as regulatory restrictions, security risks, and the need to upgrade legacy systems, the digital transformation in the healthcare industry is gaining momentum. Apart from the changes brought forth by the use of AI and big data analytics, another technology that contributes to a major shift in how we accept and

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November 13, 2020

Overcoming the Legacy Systems Challenge in Software Development for the Healthcare Industry

Legacy IT infrastructures and systems are yet another challenge that hampers the effective digitization of healthcare. Most of the innovative solutions and apps for healthcare are using artificial intelligence and big data analytics, which are resource-intensive and require a robust IT infrastructure. They must also integrate with existing systems and software to deliver efficiency from

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November 6, 2020

Things to Consider When Building an Employee Training and Development System

Employee onboarding, upskilling, and compliance training are just some of the reasons why companies need automated learning management systems (LMS). The value of LMS for business, though, extends far beyond these examples. Learning Management Systems are playing a major part in employee retention, maximizing engagement, gaining and maintaining a competitive edge, and much more.  According

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October 22, 2020

Digitizing Healthcare: Why Does It Take So Long?

Emerging technologies are currently transforming just about every industry and are changing the way organizations operate in both government and private sectors. While the pace of digital transformation seems to grow exponentially, healthcare is distinctly lagging behind other industries in implementing technologies like AI, IoT, and data analytics. Despite the obvious benefits, clinics, hospitals, and

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October 9, 2020

Challenges in Healthcare Digital Transformation

For many healthcare companies telemedicine, healthcare IoT, and big data are still nothing but buzzwords. Even though the emerging technologies seem to bring so much to the table, most healthcare organizations are lagging behind other industries when it comes to digital transformation. As per 2018 stats, digitization has covered as little as 7 percent of

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September 25, 2020

How AI Transforms Knowledge Assessment Practices

Assessment is an integral part of teaching and learning. It’s also one of the education domains that embrace the adoption of artificial intelligence. Through analyzing a variety of metrics on students’ attendance and learning patterns, AI is helping educators maximize learning outcomes. In this article, we will talk about how artificial intelligence is transforming knowledge

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September 4, 2020

Meeting the Data Security Challenge in Healthcare

One of the challenges that hamper digital transformation in healthcare is the need to secure and protect patients’ data. Healthcare data is highly personal and is also tied with sensitive legal, financial, and demographic information, such as birth dates and social security numbers. Needless to say, it is also a frequent target of cyberattacks, fraud,

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