IBM Big Data Hub

JULY 26, 2023

AI helps address this problem by combining aspects like demand forecasting, last – mile delivery , and routing optimization. This use case shows how AI can help by processing unstructured image and video data in addition to structured data in the previous examples.

Optimization 82

Optimization Manufacturing Cost-Benefit Risk 82

Sisense

JUNE 8, 2020

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. Deeper insights from bigger data sets.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

Smart Data Collective

FEBRUARY 3, 2021

Big data is changing the nature of the financial industry in countless ways. The market for data analytics in the banking industry alone is expected to be worth $5.4 However, the impact of big data on the stock market is likely to be even greater. What Impact Is Big Data Having Towards Investing?

Big Data 140

Big Data Marketing Data Analytics Analytics 140

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 77

Recreation/Entertainment Broadcasting Unstructured Data Consulting 77

IBM Big Data Hub

JULY 19, 2023

Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation. We started with prepping the proprietary structured data to clean and make it ready in a format to be able to pass within prompts for fine-tuning and inferencing. The high-level pipeline for this process is shown in Figure 1.

Consulting 66

Consulting Machine Learning Manufacturing Optimization 66

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images. versions).

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

FineReport

JULY 18, 2022

FineBI is a business intelligence tool for self-service big data analysis and data visualization. Except for the rows and columns, you can also display your data through graphs and charts. However, it has limitations on rows and columns, making it not suitable for analyzing a large amount of data. SAS Forecasting.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

AWS Big Data

FEBRUARY 20, 2024

With this zero-ETL approach, Amazon Redshift Streaming Ingestion enables you to connect to multiple Kinesis data streams or Amazon Managed Streaming for Apache Kafka (Amazon MSK) data streams and pull data directly to Amazon Redshift without staging data in Amazon Simple Storage Service (Amazon S3).

Visualization 95

Visualization Cost-Benefit Optimization B2B 95

AWS Big Data

APRIL 2, 2024

Without the right metadata and documentation, data consumers overlook valuable datasets relevant to their use case or spend more time going back and forth with data producers to understand the data and its relevance for their use case—or worse, misuse the data for a purpose it was not intended for.

Metadata 84

Metadata Metrics Data-driven Modeling 84

Sisense

MAY 11, 2021

We’re going to nerd out for a minute and dig into the evolving architecture of Sisense to illustrate some elements of the data modeling process: Historically, the data modeling process that Sisense recommended was to structure data mainly to support the BI and analytics capabilities/users. Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

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 90

Metadata Big Data Optimization Unstructured Data 90

AWS Big Data

MARCH 26, 2024

You can benefit from its ML integrations for automated insights like forecasting and anomaly detection or natural language querying with Amazon Q in QuickSight , direct data connectivity from various sources, and pay-per-session pricing. The following diagram shows a sample C360 dashboard built on Amazon QuickSight.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

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

FineReport

FEBRUARY 5, 2020

Both the investment community and the IT circle are paying close attention to big data and business intelligence. Self-service data preparation is essentially letting the BI system automatically handle the logical association between data. Nowadays, the business intelligence market is heating up.

Metadata 98

Metadata Dashboards Informatics Visualization 98

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

Jet Global

MAY 9, 2024

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52