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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. Modern technical advancements in healthcare have made it possible to quickly handle critical medical data, medical records, pharmaceutical orders, and other data. On-Demand Computing.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Information/data governance architect: These individuals establish and enforce data governance policies and procedures. Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data 330
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Seqera Labs grabs $5.5M to help sequence COVID-19 variants and other complex data problems

TechCrunch

Seqera was spun out of the Centre for Genomic Regulation, a biomedical research center based out of Barcelona, where it was built as the commercial application of Nextflow , open source workflow and data orchestration software originally created by the founders of Seqera, Evan Floden and Paolo Di Tommaso, at the CGR. .”

Data 200
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The ‘Great Retraining’: IT upskills for the future

CIO

According to the 2023 State of the CIO , IT leaders are looking to shore up competencies in key areas such as cybersecurity (39%), application development (30%), data science/analytics (30%), and AI/machine learning (26%). From an individual’s perspective, it keeps careers interesting and helps people grow with the organization.

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What is predictive analytics? Transforming data into future insights

CIO

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028.

Analytics 361
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The rise of the data lakehouse: A new era of data value

CIO

The giant pharmaceutical chain had put its lakehouse in place to address just such challenges in its quest, to, as Guadagno puts it, “To get the right product in the right place for the right patient.”. These processes combine an understanding of customer behavior with the availability of pharmaceutical and retail inventory. “It

Data 350
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Improve Your Business: Discover Interesting Software Trends for Upcoming Years

MagmaLabs

The most prominent industries for AI adoption in organizations include high-tech and telecommunications, financial services, and healthcare and pharmaceuticals. The most recent top-funded AI businesses are all machine learning and chatbot companies, focusing on human interface with machines.

Trends 52