In this contributed article, Jan Lunter, CEO & CTO of Innovatrics, highlights how synthetic data is an efficient technology to supplement datasets with types of data that are underrepresented. The advancements made in recent years in generative adversarial networks (GANs) allow us to leverage the benefits of generating synthetic data for a wide range of machine learning (ML) applications.
How We Use Synthetic Data to Improve Performance and Break Away from Dataset Constraints
March 25, 2023 by Leave a Comment
Unlocking Hidden Value From Production Line Data
March 20, 2023 by Leave a Comment
In this contributed article, Dr Richard Parmee, founder and CEO of Sapphire Inspection Systems, highlights how the increased connectivity of devices and data analysis tools is now making it possible to unlock hidden value from production-line data. He explains how the real-time insights from end-of-line inspection equipment can be used to optimize processes.
Video Highlights: Measuring Data Team ROI
March 19, 2023 by Leave a Comment
In this video presentation from our friends over at Monte Carlo we have an all-woman panel to discuss the process of measuring data team ROI, specifically how to track and scale the impact of data teams.
How AI Helps Prevent Human Error In Data Analytics
March 18, 2023 by Leave a Comment
In this contributed article, April Miller, a senior IT and cybersecurity writer for ReHack Magazine, discusses how AI can help limit human error and improve data analysis accuracy. Explore how AI is fixing human error in data analytics and revolutionizing how we approach this critical field.
Don’t overlook independence in Responsible AI
March 17, 2023 by 1 Comment
In this contributed article, Dr Stuart Battersby, Chief Technology Officer of Chatterbox Labs, has the aim to raise awareness of a key issue in the field of Responsible AI (aka Ethical AI or Trustworthy AI), and that is the issue of independence.
How to Fix Blockchain’s Missing Link to Cross the Data Chasm
March 16, 2023 by Leave a Comment
In this contributed article, Toby Mills, CEO of Entopy, looks at the trend for organizations to turn to technologies such as artificial intelligence and blockchain in an attempt to find a ‘silver bullet’ to unlock the next wave of business transformation. But unless the right data is gathered in the first place – and harnessed […]
Data Science Bows Before Prompt Engineering and Few Shot Learning
March 13, 2023 by 1 Comment
In this contributed article, editorial consultant Jelani Harper takes a new look at the GPT phenomenon by exploring how prompt engineering (stores, databases) coupled with few shot learning can constitute a significant adjunct to traditional data science.
Protect Your Business from TCPA Violations and Unscrupulous Data Brokers
March 12, 2023 by Leave a Comment
In this contributed article, Celeste Roberts, Content Writer at ActiveProspect, discusses TCPA violations and data brokers.
Why data brokers are so relevant to companies and how they operate with each other.
Challenges for Startups in Adopting AI and Data Analytics
March 9, 2023 by Leave a Comment
In this contributed article, Bal Heroor, CEO and Principal at Mactores, believes that by 2027, it is nearly unavoidable that every business, both big and small, will need to get serious about adopting a high-value data analytics system. While this can be a costly investment, there’s no reason that even a startup can’t be a part of the data transformation that is affecting almost every industry sector today.
Harness Unstructured Data with AI to Improve Investigative Intelligence
March 9, 2023 by 1 Comment
In this special guest feature, Jordan Dimitrov, Product Manager, Unstructured Data Analytics, Cognyte, addresses the importance of unstructured data, why AI is an invaluable tool and how to move beyond legacy approaches to data management. Unstructured data comprises the majority of data being used for investigations by governmental organizations today and will play an increasingly vital role in investigative analytics going forward. To ensure a holistic, data-driven intelligence assessment, unstructured data fusion and analysis are essential.
