Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction: Artificial Neural Networks (ANN) are algorithms based on brain function and are used to model complicated patterns and forecast issues. The […].

Deep Learning 256

Deep Learning Forecasting Data Science Publishing 256

CIO Business Intelligence

APRIL 4, 2024

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI A human reviews it to make sure it makes sense, and if it does, the AI incorporates that into the learning model,” she says.

Enterprise 129

Enterprise Cost-Benefit Forecasting Sales 129

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 130

Data mining Data-driven Statistics OLAP 130

CIO Business Intelligence

DECEMBER 13, 2023

The evolution of AI and the use of structured and unstructured data When discriminative AI rose to prominence in sectors such as banking, healthcare, retail, and manufacturing, it was primarily trained on and used to analyze, classify, or make predictions about unstructured data.

Unstructured Data 95

Unstructured Data IoT Metadata Manufacturing 95

AWS Big Data

APRIL 2, 2024

In this post, we share what we heard from our customers that led us to add the AI-generated data descriptions and discuss specific customer use cases addressed by this capability. We also detail how the feature works and what criteria was applied for the model and prompt selection while building on Amazon Bedrock.

Metadata 91

Metadata Metrics Data-driven Modeling 91

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

CIO Business Intelligence

AUGUST 30, 2022

Data has always been central to agile business planning, forecasting and analysis – all tools which have become central to the modern CFO role. To enable this, Teradata’s multi-cloud software integrates data fast across finance systems – such as Oracle, PeopleSoft, and SAP – to connect and integrate in near real-time.

Data-driven 81

Data-driven Finance Digital Transformation Operational Reporting 81

IBM Big Data Hub

APRIL 26, 2023

Switching to IBM Business Analytics gave Jabil the ability to gather and structure data in a centralized approach for management. The integrated solution plays a role in reporting, analysis, planning and forecasting. The portfolio contributes to the efficient management of their incredibly complex supply chain.

Business Analytics 78

Business Analytics Reporting Analytics Finance 78

IBM Big Data Hub

NOVEMBER 29, 2023

Furthermore, AI algorithms’ capacity for recognizing patterns—by learning from your company’s unique historical data—can empower businesses to predict new trends and spot anomalies sooner and with low latency. Stream analytics can be used to help improve the speed and accuracy of models’ predictions.

Unstructured Data 86

Unstructured Data Data-driven ROI Machine Learning 86

IBM Big Data Hub

JULY 26, 2023

AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure. AI helps address this problem by combining aspects like demand forecasting, last – mile delivery , and routing optimization.

Optimization 74

Optimization Manufacturing Cost-Benefit Reporting 74

FineReport

JULY 18, 2022

Except for the rows and columns, you can also display your data through graphs and charts. For more advanced data analysis, Excel provides you with pivot tables, enabling you to analyze structured data through multiple dimensions quickly and effectively. SAS Forecasting. From SAS Forecast Server. RapidMiner.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Cloudera

NOVEMBER 15, 2021

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. The challenges of data. Data facilitates, incentivizes, and challenges AI.

Unstructured Data 88

Unstructured Data Recreation/Entertainment Structured Data Reporting 88

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 109

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 109

AWS Big Data

FEBRUARY 20, 2024

DynamoDB is a managed NoSQL database solution that acts as a key-value store for transactional data. As a NoSQL solution, DynamoDB is optimized for compute (as opposed to storage) and therefore the data needs to be modeled and served up to the application based on how the application needs it.

Visualization 102

Visualization Cost-Benefit Optimization B2B 102

CIO Business Intelligence

FEBRUARY 16, 2023

Hence the drive to provide ML as a service to the Data & Tech team’s internal customers. All they would have to do is just build their model and run with it,” he says. That step, primarily undertaken by developers and data architects, established data governance and data integration.

Unstructured Data 102

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 102

IBM Big Data Hub

NOVEMBER 30, 2022

Switching to IBM Business Analytics gave Jabil the ability to gather and structure data to provide a central approach to management. The integrated solution automatically handles reporting, analysis, planning and forecasting.

Reporting 52

Reporting Enterprise Finance Business Analytics 52

Smart Data Collective

FEBRUARY 3, 2021

Big data algorithms that understand these principles can use them to forecast the direction of the stock market. Data analysis became useful in many industries because acquiring and analyzing data is an essential procedure for any industry. Financial markets are shifting to data-driven investment strategies.

Big Data 139

Big Data Marketing Data Analytics Analytics 139

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. They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

IBM Big Data Hub

JULY 19, 2023

Other use cases where generative AI models can help life sciences organizations unleash competitive advantage are: Summarization : call center interactions, documents such as financial reports, analyst articles, emails, news, media trends and more. Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation.

Consulting 60

Consulting Machine Learning Manufacturing Optimization 60

FineReport

FEBRUARY 5, 2020

Users can easily use the advanced analysis functions built into the BI platform, or they can import and integrate advanced analysis models developed externally. That is, BI tool is still for data analysis and graphical display. Self-service data preparation. The biggest value here is the reuse of BI analysis.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Sisense

MARCH 14, 2021

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Sisense

JUNE 8, 2020

“The cloud data platform enables a data marketplace where organizations can obtain secure and governed consumer and government data, such as COVID-19 data, to make timely decisions in challenging times.”. In short, cloud data warehouses and BI platforms have revolutionized the way organizations share and use data.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

AWS Big Data

MARCH 26, 2024

Unified customer profile Graph databases excel in modeling customer interactions and relationships, offering a comprehensive view of the customer journey. With QuickSight, you can embed dashboards to external websites and applications , and the SPICE engine enables rapid, interactive data visualization at scale.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Jet Global

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

Reporting 52

Reporting Finance Data Quality Sales 52

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Metadata 87

Metadata Big Data Optimization Unstructured Data 87

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. A “Value at Risk” (VaR) model operated on a series of spreadsheets, which were built manually, via copy and paste. a spreadsheet. It’s easy to see why these errors occur.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

IBM Big Data Hub

APRIL 18, 2023

These include computer vision and sound recognition systems that help automate curation and editing of exciting moments in sports; systems that extract summaries or factoids from vast amounts of structured and unstructured natural language data; and systems that forecast and predict player performance and winners.

Recreation/Entertainment 73

Recreation/Entertainment Broadcasting Unstructured Data Consulting 73

Jet Global

MAY 9, 2024

Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment. API Data Pipelines : These pipelines retrieve data from various APIs and load it into a database or application for further use.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

Ontotext

MAY 18, 2020

Such problems and the complexities related to such computationally-intensive tasks are essential in the fields of weather forecasting, molecular modeling, airplane and spacecraft aerodynamics, personalized medicine, self-driving cars. Behind the scenes of linking histopathology data and building a knowledge graph out of it.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Jet Global

FEBRUARY 14, 2022

Structuring data in a way that recognizes the importance of tax from the outset is far more efficient than a silo approach and common data models will be key enablers of a more holistic process.”. In large organizations, this can require significant amounts of resource and (potentially) programming skills.

Finance 52

Finance Recreation/Entertainment Software Reporting 52

Jet Global

NOVEMBER 7, 2023

A simple drag-and-drop interface automates SQL code for you, eliminating the need for cumbersome IT projects to cleanse, transform and structure data. Empower your team to add new data sources on the fly. Quickly combine from a variety of sources into a singular data warehouse and a set of dimensional cubes or tabular models.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52