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All posts in data science

What is Data Science? Benefits, Techniques and Use Cases

Data science involves extracting valuable insights from complex datasets. While this process can be technically challenging and time-consuming, it can lead to better business decision-making. Benefits Challenges Better decision-making. Performance measurement and increased efficiency. Risks identification and prevention. Requires broad domain knowledge. Inconsistency in data could yield the wrong result. . . . Read more

Could Australia’s Cybersecurity Strategy Benefit From More Data Science Rigour?

Australia’s Home Affairs Minister Clare O’Neil recently revealed details of Australia’s Cyber Security Strategy 2023–2030. Designed to protect Australia in a fast-moving threat environment, the strategy would rely on building six cyber shields around the Australian nation. Jessie Jamieson, staff research engineer for decision science operations at Tenable. However, Jessie . . . Read more

Head of AI and Similar Leadership Roles are Here to Stay, says Deloitte AI Ethicist

Beena Ammanath. Image: Deloitte Head of AI is a trendy new job title, but do businesses actually need someone in this role? What responsibilities does it entail? We asked Beena Ammanath, executive director of the Deloitte AI Institute, leader of Trustworthy Tech Ethics at Deloitte and author of the book . . . Read more

How to Become a Data Scientist in 2023: A Cheat Sheet

The demand for data scientists is projected to grow by 36% from 2021 to 2031, according to data from The Bureau of Labor Statistics. Within this period, about 13,500 job openings will be available each year. This goes to show that data scientists are still in great demand in 2023. . . . Read more

Generative AI and Foundation Models Face Inflated Expectations

Computer vision, data labeling and annotation, cloud AI services, and intelligence applications are the most mature applications of AI, according to Gartner’s 2023 AI Hype Cycle. Image: putilov_denis/Adobe Stock Generative AI and foundation models have reached the Peak of Inflated Expectations in Gartner’s 2023 AI Hype Cycle, which is a . . . Read more

3 Steps for Better Data Modeling With IT, Data Scientists and Business Analysts

Data analysts can help build accessible and effective data models by defining business requirements, working with IT and data scientists, and testing data model results. A good data model accounts for the context of the business process it must address and then addresses that context with the types of data . . . Read more

Cloud Data Systems and Edge AI Make a Major Impact on Today’s Data Science

Gartner outlines the top trends in machine learning and data science, including the impact of generative AI. Learn more about the top trends with our article. Image: kras99/Adobe Stock Gartner outlines the top trends in machine learning and data science, including the impact of generative AI. Investors will pour more . . . Read more

Databricks vs Snowflake (2023): ETL Tool Comparison

With more and more solutions entering the enterprise software market, organizations have used many data sources for their operational processes. To properly transfer and share your organizational data and information between software systems, using an effective ETL solution is a necessity. This resource will analyze two of the top ETL . . . Read more

Databricks vs Snowflake (2023): ETL Tool Comparison

With more and more solutions entering the enterprise software market, organizations have used many data sources for their operational processes. To properly transfer and share your organizational data and information between software systems, using an effective ETL solution is a necessity. This resource will analyze two of the top ETL . . . Read more

Hadoop vs Spark: Data Science Tools Comparison

Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity and features. Apache Spark is designed as an interface for large-scale processing, while Apache Hadoop provides a broader software framework . . . Read more