Smart Data Collective

AUGUST 28, 2021

Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. A Final Word.

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Data Lake Data Warehouse Unstructured Data Structured Data 140

Smart Data Collective

OCTOBER 3, 2019

Big data is playing a vital role in the evolution of small business. A compilation of research from the G2 Learning Hub Shows the number of businesses relying on big data is rising. They cited one study showing that 40% of businesses need to use unstructured data on a nearly daily basis.

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Data-driven Marketing Big Data Machine Learning 79

IBM Big Data Hub

OCTOBER 12, 2022

Every football season, millions of articles, blog posts, podcasts and videos are produced by the media, offering expert analysis on everything from player performance to injury reports. To identify and distill the insights locked inside this sea of “unstructured” data, ESPN collaborated with IBM to teach Watson the language of football.

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Unstructured Data Consulting Statistics Data-driven 85

Smart Data Collective

JUNE 3, 2019

In a previous article I shared some of the challenges, benefits and trends of Big Data in the telecommunications industry. Big Data’s promise of value in the financial services industry is particularly differentiating. Customer-focused analysis dominates Big Data initiatives.

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Big Data Cost-Benefit Unstructured Data Risk 73

IBM Big Data Hub

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

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Deep Learning Machine Learning Unstructured Data Modeling 60

Rocket-Powered Data Science

MAY 21, 2024

One example of Pure Storage’s advantage in meeting AI’s data infrastructure requirements is demonstrated in their DirectFlash® Modules (DFMs), with an estimated lifespan of 10 years and with super-fast flash storage capacity of 75 terabytes (TB) now, to be followed up with a roadmap that is planning for capacities of 150TB, 300TB, and beyond.

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Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

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Unstructured Data Big Data Testing Machine Learning 98

IBM Big Data Hub

JANUARY 10, 2024

AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended. AI operates on three fundamental components: data, algorithms and computing power.

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Unstructured Data Deep Learning Cost-Benefit Modeling 82

IBM Big Data Hub

AUGUST 16, 2022

For the USTA — as with all our clients — IBM is committed to delivering explainable AI , following processes that allow people to understand and trust the results and output produced by machine learning algorithms. This process begins with solid and reliable data. Language and sentiment from 100 million news articles.

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Statistics Unstructured Data Machine Learning Consulting 108

IBM Big Data Hub

AUGUST 17, 2023

Year after year, IBM Consulting works with the United States Tennis Association (USTA) to transform massive amounts of data into meaningful insight for tennis fans. This year, the USTA is using watsonx , IBM’s new AI and data platform for business. million data points are captured, drawn from every shot of every match.

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Unstructured Data Statistics Consulting Enterprise 94

Smart Data Collective

JULY 31, 2022

We mentioned that investors can use machine learning to identify potentially profitable IPOs. Machine learning algorithms could evaluate socioeconomic trends from around the world to make better forecasts. Predictive Analytics Helps Traders Deal with Market Uncertainty. Analytics Vidhya, Neptune.AI

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IBM Big Data Hub

AUGUST 17, 2023

This year, innovation at the US Open was facilitated and accelerated by watsonx , IBM’s new AI and data platform for the enterprise. Using this method, IBM and the GRAMMYs delivered artist insights for live coverage based on automated AI analysis of millions of articles.

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Consulting Digital Transformation Recreation/Entertainment Unstructured Data 54

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry?

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Data Analytics Analytics Data-driven Big Data 52

Sisense

MAY 11, 2021

According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! With that much data flowing into analytics systems, the right data model is vital to helping your users derive actionable intelligence from them. Dig into AI.

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Modeling Big Data IoT Data Warehouse 84

Cloudera

AUGUST 20, 2021

Legal and Regulatory Requirements: CDP delivers data products to address complex and continuously evolving legal and regulatory requirements by offering a programmatic way to dynamically manage data permissions at a granular level by type of data asset and for different roles / users interacting with and manipulating those data assets. .

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Sisense

JUNE 26, 2020

Machine learning and advanced analytics are helping humans make sense of large amounts of structured and unstructured data by leaning into our natural ability to make a better sense of visuals than the raw data we want to understand. What are data visualizations? The good news is, you don’t have to!

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Alation

AUGUST 4, 2022

It’s been one decade since the “ Big Data Era ” began (and to much acclaim!). Analysts asked, What if we could manage massive volumes and varieties of data? Yet the question remains: How much value have organizations derived from big data? Big Data as an Enabler of Digital Transformation.

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Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Instead, what we really need is for our business to run at the speed of data.

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Data Warehouse Metadata Digital Transformation Unstructured Data 325

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization? The platform comprises three powerful components: the watsonx.ai

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Data Architecture Data Lake Machine Learning Data Governance 63

datapine

DECEMBER 4, 2019

We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Predictive & Prescriptive Analytics.

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Smart Data Collective

MARCH 16, 2020

He should elaborate more on the benefits of big data and deep learning. A lot of big data experts argue that deep learning is key to controlling costs. Health IT Analytics wrote an article on the cost benefits of using big data in healthcare. This will be essential for all countries.

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