CDW Research Hub

SEPTEMBER 15, 2020

Traditional data warehouses are often too slow and can’t handle large volumes of data or different types of semi-structured or unstructured data. They can be inflexible and costly since you are not able to scale your usage as you would using a modern data platform and the cloud. Build a Best of Breed Data Platform.

Business Intelligence 52

Business Intelligence Prescriptive Analytics Unstructured Data Data Warehouse 52

Smart Data Collective

JUNE 10, 2022

The average data scientist earns over $108,000 a year. The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications.

Data Science 120

Data Science Machine Learning Statistics Business Intelligence 120

CIO Business Intelligence

JUNE 7, 2022

But only in recent years, with the growth of the web, cloud computing, hyperscale data centers, machine learning, neural networks, deep learning, and powerful servers with blazing fast processors, has it been possible for NLP algorithms to thrive in business environments. Intel® Technologies Move Analytics Forward.

Unstructured Data 85

Unstructured Data Deep Learning Insurance Interactive 85

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. But being an inquisitive Sherlock Holmes of data is no easy task. In the past, data scientists had to rely on powerful computers to manage large volumes of data.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

datapine

NOVEMBER 19, 2019

However, with computer vision, businesses will be able to leverage technologies that can scan for and identify discrepancies and take action to protect their ads from potential harmful brand messaging. Visual analytics: Around three million images are uploaded to social media every single day. Blockchain.

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Domino Data Lab

JULY 2, 2019

Scale the problem to handle complex data structures. Part of the back-end processing needs deep learning (graph embedding) while other parts make use of reinforcement learning. That speaks to the remarkable learning curve aspects of SQL, how oh-so-much data munging can be performed without having to sweat the details.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105