IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

Smart Data Collective

MAY 13, 2022

With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Business insight and data analytics landscape. Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient. AI and machine learning.

Business Analytics 134

Business Analytics Analytics Unstructured Data Data-driven 134

Analytics Vidhya

MAY 4, 2022

Introduction Text Mining is also known as Text Data Mining or Text Analytics or is an artificial intelligence (AI) technology that uses natural language processing (NLP) to extract essential data from standard language text. It is a process to transform the unstructured data (text […].

Unstructured Data 252

Unstructured Data Data mining Data Science Publishing 252

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 96

Data Governance Unstructured Data Metadata Data Lake 96

Smart Data Collective

APRIL 5, 2022

They are using tools like Amazon SageMaker to take advantage of more powerful machine learning capabilities. Amazon SageMaker is a hardware accelerator platform that uses cloud-based machine learning technology. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks.

Cost-Benefit 122

Cost-Benefit Machine Learning Data Science Unstructured Data 122

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Tableau: Now owned by Salesforce, Tableau is a data visualization tool.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. Consider some of the examples of use cases from our clients in the industry: Visual insights.

Unstructured Data 82

Unstructured Data Consulting Visualization IoT 82

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. In some ways, the data architect is an advanced data engineer.

Data Architecture 129

Data Architecture Data Warehouse Statistics Visualization 129

IBM Big Data Hub

OCTOBER 12, 2022

To identify and distill the insights locked inside this sea of “unstructured” data, ESPN collaborated with IBM to teach Watson the language of football. It lets a fantasy owner visualize the risk-and-reward scenarios, see trends over time and field a more competitive team. Not anymore. to ensure continuous availability).

Unstructured Data 89

Unstructured Data Consulting Statistics Data-driven 89

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

OCTOBER 3, 2023

However since then great strides have been made in machine learning and artificial intelligence. Mordor Intelligence sees the increasing incorporation of machine learning tools into hyperautomation products as being one of the main drivers of market growth. It’s been around since the early 2000s. This is hyperautomation.

Cost-Benefit 113

Cost-Benefit Machine Learning Interactive Software 113

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. Generative AI can produce high-quality text, images and other content based on the data used for training.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

CIO Business Intelligence

NOVEMBER 28, 2023

With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Unstructured data resources can be extremely valuable for gaining business insights and solving problems.

Unstructured Data 126

Unstructured Data Data-driven Visualization Data Quality 126

CIO Business Intelligence

JUNE 6, 2023

The artwork I received was not only visually stunning but also showed how AI is capable of bringing new ideas to life. Memory and storage The vast amount of data generated by AI workloads requires high-capacity storage solutions that can handle both structured and unstructured data. What I saw blew my mind away.

Manufacturing 85

Manufacturing Unstructured Data Optimization Software 85

FineReport

JULY 28, 2021

Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information. Therefore, the learning curve will be steeper. Free Download.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Smarten

JUNE 10, 2022

Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer vs. data architect.

Analytics 125

Analytics Data Science Statistics Unstructured Data 125

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Text, images, audio, and videos are common examples of unstructured data.

Unstructured Data 119

Unstructured Data Metadata Management Analytics 119

Jet Global

SEPTEMBER 4, 2020

Data lakes serve a fundamentally different purpose than data warehouses, in the sense that they are optimized for extremely high volumes of data that may or may not be structured. There are virtually no rules about what such data looks like. It is unstructured. Not Designed for Financial and Business Reporting.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

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. In the future of healthcare, data lake is a prominent component, growing across the enterprise.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

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. How Data Lineage Is a Use Case in ML.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

Sisense

OCTOBER 6, 2020

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. Spreadsheet software like Excel, Google Sheets, or traditional database management systems all mainly deal with quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 59

Data mining Machine Learning Deep Learning Marketing 59

Sisense

JANUARY 22, 2021

A well-structured fintech algorithm could easily use machine learning (ML) to advise a human agent to approve or reject a business loan application. That advice is a quintessential actionable insight: The algorithm models the applicant’s probability of success by training on a mountain of historical data and market factors.

Machine Learning 52

Machine Learning Unstructured Data Forecasting Advertising 52

bridgei2i

NOVEMBER 25, 2020

From underwriting processes that typically involved manual effort (in gathering data from documents), enterprises have now shifted to automation with a digital core that can make it easier to analyze several types of data formats—textual, visual, sensor-based and electronic. BRIDGEi2i’s insurance solutions.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. This data store provides your organization with the holistic customer records view that is needed for operational efficiency of RAG-based generative AI applications.

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

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

Ontotext

DECEMBER 16, 2020

Next up, we have this post discussing why the knowledge graph model helps large enterprises overcome the challenge of actively using most of their structured and unstructured data by streamlining their enterprise knowledge management processes and practices. Return of the Jedi: Ontotext Platform Metamorphosis.

Metadata 52

Metadata Unstructured Data Visualization Enterprise 52

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. You can also store other data in purpose-built data stores to analyze and get fast insights from both structured and unstructured data.

Data Lake 114

Data Lake Analytics Dashboards Metrics 114

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. Other sought-after skills include Python, R, JavaScript, C++, Apache Spark, and Hadoop. .

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. Other sought-after skills include Python, R, JavaScript, C++, Apache Spark, and Hadoop. .

Finance 98

Finance IT Software Reporting 98

AWS Big Data

AUGUST 15, 2023

With the release of the Amazon Athena data source connector for Google Cloud Storage (GCS), you can run queries within AWS to query data in Google Cloud Storage, which can be stored in relational, non-relational, object, and custom data sources, whether that be Parquet or comma-separated value (CSV) format.

Recreation/Entertainment 87

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 87

Cloudera

SEPTEMBER 7, 2018

Moreover, this approach struggles to deal with the large volume and variety of data that must be analyzed and often correlated. Analyzing unstructured data sets such as text, audio and images are challenging, especially while determining illegal intent in communications.

Machine Learning 49

Machine Learning Risk Unstructured Data Cost-Benefit 49

bridgei2i

OCTOBER 7, 2020

The automated process can then be used to parse data sources like structured and unstructured data sources such as – IoT data, claims data, physical proofs, social data, life health data and in a variety of formats such as textual, visual, sensor-based and electronic etc.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Cloudera

OCTOBER 29, 2020

From our release of advanced production machine learning features in Cloudera Machine Learning, to releasing CDP Data Engineering for accelerating data pipeline curation and automation; our mission has been to constantly innovate at the leading edge of enterprise data and analytics.

Visualization 106

Visualization Machine Learning Dashboards Data Warehouse 106

IBM Big Data Hub

DECEMBER 16, 2022

Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information. She can search structured or unstructured data, visualizations and dashboards, machine learning models, and database connections.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

FineReport

APRIL 26, 2023

Having visually appealing graphics can also increase user adoption. Advanced analytics capabilities : The tool should be able to analyze data and identify patterns, as well as forecast future events with complex forecasting algorithms, going beyond simple mathematical calculations.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52