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Gender Inequality Persists in Data Science and AI

Business Over Broadway

Ways of improving gender diversity in the field of data science are offered. US Labor Force Statistics for Selected Occupations. How does gender diversity look in the data science world? I analyzed data from the 2020 Kaggle Machine Learning and Data Science survey in which they surveyed over 20,000 data professionals.

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Top Companies to work for if you are a data scientist

Data Science 101

LinkedIn’s 2017 report had put Data Scientist as the second fastest growing profession and it’s number one on 2019’s list of most promising jobs. There are three main reasons why data science has been rated as a top job according to research. StreamSets is a top option for data management and integration.

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IT leaders uplift women to fill tech talent gaps

CIO Business Intelligence

The 2022 State of the CIO research confirmed talent acquisition and retention strategies are a key issue for CIOs, cited by 38% of respondents, with cybersecurity skills, data science/analytics, and artificial intelligence (AI) and machine learning (ML) in top demand. Lynn Dohm, executive director, WiCyS.

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Transforming Credit and Collection with Predictive Analytics

BizAcuity

According to a Federal Bank report, more than $600 billion of household debt in the U.S. is delinquent as of June 30th, 2017. Using algorithms, AI is now able to store data before making a prediction about something – such as when a debtor is likely to pay. Out of which, $400 billion is delinquent for more than 90 days.

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EHR/EMR Software Development Recommendations in a Health Market Governed By Big Data

Smart Data Collective

Big data has had a tremendous affect on the healthcare sector. In 2017, the global market for healthcare analytics was valued at $16.9 While there are a number of benefits of using data analytics in healthcare, there are also going to be some challenges. Make sure your EHR system is more than simply a data storage.

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

This is especially the case in data science; most enterprise organizations simply cannot hire enough of the data analytics talent they need therefore, so much of these staffing needs must be filled by current employees. Recently the World Economic Forum published “ The Future of Jobs Report 2018.”

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What is SSDP and Can it Truly Make Analytics Self-Serve?

Smarten

With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. SSDP or Self-Serve Data Preparation is a crucial component of Advanced Data Discovery. Users can control the data elements, the volume and the timing of the analysis and reporting.