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The Data Daily

G.R. Jenkin & Associates

Garry Jenkin moved to Dallas, Texas in 1985 and began a new career in consulting for technology companies. When Garry isn't working, he's honing his skills in graphic design, photography, Yoga and is sometimes dreaming about his  next motorcycle.

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How to Use a Knowledge Graph to Power a Semantic Data Layer for Databricks

How to Use a Knowledge Graph to Power a Semantic Data Layer for Databricks

Knowledge Graphs have become ubiquitous, we just don’t know it. We experience it every day when we search on Google or watch the feeds that run through our social media accounts...

The 10 Best Tips for your Top-of-Funnel Marketing Strategy

The 10 Best Tips for your Top-of-Funnel Marketing Strategy

Modern marketing tactics require you to have a strong understanding of your customers, the journey they take to make a purchase, and the goals and pain points they have along...

Artificial intelligence makes a splash in small-molecule drug discovery

Artificial intelligence makes a splash in small-molecule drug discovery

In the past five years, interest in applying artificial intelligence (AI) approaches in drug research and development (R&D) has surged. Driven by the expectation of accelerated...

A Beginner's Guide to Geospatial Data Analysis - Analytics Vidhya

A Beginner's Guide to Geospatial Data Analysis - Analytics Vidhya

This article was published as a part of the  Data Science Blogathon . Introduction to Geospatial Data Analysis Geospatial data is any type of data that has certain geographic...

Top 6 Predictive Analytics Models and Their Use Cases

Top 6 Predictive Analytics Models and Their Use Cases

People who use predictive analytics models aim to look at current and past data and use it to pinpoint the likelihood... People who use predictive analytics models aim to look...

Understanding the differences between BI, AI and analytics

Understanding the differences between BI, AI and analytics

Is there really a difference between BI, AI and analytics? And if so, how do these three technologies work together? I often get asked to define the differences between BI...

Building explainability into the components of machine-learning models

Building explainability into the components of machine-learning models

Explanation methods that help users understand and trust machine-learning models often describe how much certain features used in the model contribute to its prediction. For...

BusinessDay: Machine learning, automation and common sense

BusinessDay: Machine learning, automation and common sense

In an era of rapidly increasing competition, business leaders are looking to technology to streamline their operations to deliver products and services faster while lowering...

How AI is changing IoT

How AI is changing IoT

IoT has seen steady adopted across the business world over the past decade. Businesses have been built or optimized using IoT devices and their data capabilities, ushering in a...

Bringing the power of deep learning to data in tables

Bringing the power of deep learning to data in tables

Conversational AI / Natural-language processing Bringing the power of deep learning to data in tables Amazon’s TabTransformer model is now available through SageMaker JumpStart...

Supercharge Your Data Lakehouse with Apache Iceberg in Cloudera Data Platform - Cloudera Blog

Supercharge Your Data Lakehouse with Apache Iceberg in Cloudera Data Platform - Cloudera Blog

We are excited to announce the general availability of Apache Iceberg in Cloudera Data Platform (CDP). Iceberg is a 100% open table format, developed through theApache Software...

Minerva: Solving Quantitative Reasoning Problems with Language Models

Minerva: Solving Quantitative Reasoning Problems with Language Models

Language models have demonstrated remarkable performance on a variety of natural language tasks — indeed, a general lesson from many works, including BERT, GPT-3, Gopher, and...