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May 14 Data-Ed Webinar: The Core Concepts of Data Ethics

DATE: May 14, 2024 TIME: 2:00 PM - 3:30 PM Eastern / 11:00 AM - 12:30 PM Pacific PRICE: Free to all attendees About the Webinar Ninety percent, or more, of organizational data challenges, are people and process – not technology challenges! Strengthening our focus on non-technology aspects of Data…

Latest Blogs by Industry Experts

Now Is the Time for Executives to Deploy Ethical Rules Around AI

Read more about author Usman Shuja. For better or worse, AI is causing disruption in almost every field imaginable. Corporations around the world are embracing its possibilities to make work more efficient. The success of ChatGPT and other generative AI tools has also caught the attention of nearly every industry in an effort to meet profitability, efficiency, and sustainability goals. Money is pouring into the technology. In 2023, more than 25%…

Granularity Is the True Data Advantage

Read more about author Fabrizio Fantini. Commerce today runs on data – guiding product development, improving operational efficiency, and personalizing the customer experience. However, many organizations fall into the trap of thinking that more data means more sales, when these two factors aren’t directly correlated. Often, executives will become overzealous in their digital transformations and cut blank checks for data collection, without realizing that data is a means to an…

Mind the Gap: The Data Chasm

Read more about author Mark Cooper. Welcome to the inaugural edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). This month, we start not with a gap but with a chasm – one that’s at the core of a bewildering paradox. We continue to see overwhelming numbers of analytics, artificial intelligence, machine learning, information…

SQL at 50: A Lesson in How to Stay Relevant Around Data

Read more about author Dave Stokes. Structured query language (SQL) is now 50 years old. The original paper for SQL (then called SEQUEL) was published in May 1974 by Raymond Boyce and Donald Chamberlin, and provided a guide for data manipulation based on a set of simple commands. Today, we take SQL for granted around data – it is still the third most popular language used by professional programmers, and it can…

Recent Articles

Data Discovery 101

valiantsin suprunovich / Shutterstock Data discovery deals with extracting useful information from data and presenting it in a visual format that is easily understood. The types of useful information discovered…

The Impact of Generative AI on Data Science

Day Of Victory Studio / Shutterstock As businesses adopt generative AI, a technology that creates new content and finds patterns, what will Data Science, the processes and activity geared to getting…

Data Governance Metrics: How to Measure Success

VectorMine / Shutterstock The use of Data Governance metrics as a measurement system promotes the efficient use and management of data.  Establishing key performance indicators (KPIs) is normally the first…

Automated Data Management Tools

Shutterstock “Why?” a chief technology officer (CTO) may ask when the subject of automated Data Management tools arises. After all, their organization has probably already been storing, archiving, and backing…

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