Timo Elliott

JANUARY 3, 2022

Today’s data volumes have long since exceeded the capacities of straightforward human analysis, and so-called “unstructured” data, not stored in simple tables and columns, has required new tools and techniques. Improving data quality. Unexamined and unused data is often of poor quality. Learn More.

IT 143

IT Unstructured Data Data Quality Machine Learning 143

CIO Business Intelligence

SEPTEMBER 12, 2024

For most organizations, the effective use of AI is essential for future viability and, in turn, requires large amounts of accurate and accessible data. Across industries, 78 % of executives rank scaling AI and machine learning (ML) use cases to create business value as their top priority over the next three years.

Unstructured Data 119

Unstructured Data Data Quality Structured Data Machine Learning 119

AWS Big Data

FEBRUARY 29, 2024

The need for an end-to-end strategy for data management and data governance at every step of the journey—from ingesting, storing, and querying data to analyzing, visualizing, and running artificial intelligence (AI) and machine learning (ML) models—continues to be of paramount importance for enterprises.

Data Governance 123

Data Governance Unstructured Data Metadata Data Lake 123

datapine

AUGUST 14, 2019

Geet our bite-sized free summary and start building your data skills! What Is A Data Science Tool? In the past, data scientists had to rely on powerful computers to manage large volumes of data. Our Top Data Science Tools. offers many statistics and machine learning abilities. Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

OCTOBER 30, 2024

AI’s ability to automate repetitive tasks leads to significant time savings on processes related to content creation, data analysis, and customer experience, freeing employees to work on more complex, creative issues. A data mesh delivers greater ownership and governance to the IT team members who work closest to the data in question.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

CIO Business Intelligence

MARCH 9, 2022

Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

FEBRUARY 6, 2025

They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless. You get the picture.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

SEPTEMBER 19, 2024

It will do this, it said, with bidirectional integration between its platform and Salesforce’s to seamlessly delivers data governance and end-to-end lineage within Salesforce Data Cloud. That work takes a lot of machine learning and AI to accomplish.

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

CIO Business Intelligence

JANUARY 5, 2025

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] Reliability and security is paramount.

Enterprise 124

Enterprise Cost-Benefit Unstructured Data Data Quality 124

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. Numbers are only good if the data quality is good.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The offensive side? The company’s Findability.ai

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

CIO Business Intelligence

SEPTEMBER 11, 2024

But here’s the real rub: Most organizations’ data stewardship practices are stuck in the pre-AI era, using outdated practices, processes, and tools that can’t meet the challenge of modern use cases. Data stewardship makes AI your superpower In the AI era, data stewards are no longer just the data quality guardians.

Data Quality 118

Data Quality Unstructured Data Metadata Data Governance 118

CIO Business Intelligence

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

Timo Elliott

JANUARY 22, 2019

Machine learning everywhere. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s. Augmented analytics platforms based on cloud technology and machine learning are breaking down the longest-standing barriers to analytics success.

Analytics 96

Analytics Machine Learning Unstructured Data Business Intelligence 96

Cloudera

MAY 14, 2024

More than that, though, harnessing the potential of these technologies requires quality data—without it, the output from an AI implementation can end up inefficient or wholly inaccurate. Data comes in many forms. True’ hybrid incorporates data stores that are capable of maintaining and harnessing data, no matter the format.

Data Architecture 99

Data Architecture Data Governance Unstructured Data Structured Data 99

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. NLP will account for $35.1 Putting NLP to Work.

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are responsible for developing, testing, and maintaining data pipelines and data architectures. Data scientists use data science to discover insights from massive amounts of structured and unstructured data to shape or meet specific business needs and goals.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

AWS Big Data

JULY 29, 2024

They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources. Data lakes provide a unified repository for organizations to store and use large volumes of data. What are the vital metrics for Apache Iceberg tables?

Metadata 126

Metadata Snapshot Data Lake Metrics 126

Cloudera

SEPTEMBER 9, 2022

Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. Imagine independently discovering rich new business insights from both structured and unstructured data working together, without having to beg for data sets to be made available.

Metadata 102

Metadata Machine Learning Unstructured Data Data Lake 102

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. To overcome these issues, Orca decided to build a data lake.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

CIO Business Intelligence

SEPTEMBER 2, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Business analyst.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Business analyst.

Finance 98

Finance IT Software Reporting 98

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. The third challenge is how to combine data management with analytics. Ontotext Knowledge Graph Platform.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Jedox

OCTOBER 22, 2020

In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Alation

JUNE 2, 2022

A data catalog is a central hub for XAI and understanding data and related models. While “operational exhaust” arrived primarily as structured data, today’s corpus of data can include so-called unstructured data. Machine Learning Technology. Other Technologies. Conclusion.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

Ontotext

MARCH 20, 2024

Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. Studies reveal that businesses lose significant time and opportunities due to missing integrations and poor data quality and accessibility.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

Ontotext

DECEMBER 1, 2023

He outlined the challenges of working effectively with AI and machine learning, where knowledge graphs are a differentiator. According to him, “failing to ensure data quality in capturing and structuring knowledge, turns any knowledge graph into a piece of abstract art”.

Metadata 78

Metadata Sales Machine Learning Consulting 78

CIO Business Intelligence

MARCH 29, 2022

It isn’t practical to save all your data, but it is important to realize data may be valuable for other projects. You lose that add-on value when you throw data away. . This type of data waste results in missing out on the second project advantage. An even larger issue is that people may not know how to see value in data.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

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?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

FineReport

APRIL 26, 2023

Recently, Spark set a new record by processing 100 terabytes of data in just 23 minutes, surpassing Hadoop’s previous world record of 71 minutes. This is why big tech companies are switching to Spark as it is highly suitable for machine learning and artificial intelligence. Accomplishes the speed and scale of Spark.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Grooper

AUGUST 19, 2019

Applied analytics Business analytics Machine learning and data science. Master data management. Data governance. Structured, semi-structured, and unstructured data. Data pipelines. Enterprise management and use of analytical tools, data, and data science capabilities. Algorithms.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Ontotext

MAY 22, 2023

This is the case with the so-called intelligent data processing (IDP), which uses a previous generation of machine learning. Doug Kimball : Using our knowledge graph, you can develop more complex analytics, such as data mining, Natural Language Processing (NLP) and Machine Learning (ML).

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. 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. Source: [link] I will finish with three quotes.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

datapine

DECEMBER 4, 2019

Considered a new big buzz in the computing and BI industry, it enables the digestion of massive volumes of structured and unstructured data that transform into manageable content. It is the combination of several data processes that, instead of just giving back data, but provides a valuable, strategy-changing recommendation.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105