Smart Data Collective

SEPTEMBER 26, 2019

Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured. Semi-structured data contains a mixture of both structured and unstructured data. Role of Software Development in Big Data.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

DataRobot

APRIL 19, 2021

But for more complex business decisions, including those that use less structured data, we have artificial intelligence systems. Data scientists train the algorithms using datasets that contain curated learning examples. For well-defined business processes, we have conventional computer systems. Humans and AI Best Practices.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

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. Conversational Knowledge: Reviews, knowledge base, product descriptions and more.

Consulting 63

Consulting Machine Learning Manufacturing Optimization 63

CDW Research Hub

JULY 31, 2019

Natural Language Understanding (NLU) is a subset of NLP that turns natural language into structured data. We can now run the server to test Rasa through the command line: make cmdline. Ngrok helps in setting up a secure tunnel to our local server for quick development and testing. NLU is able to do two things?—?intent

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

AWS Big Data

MARCH 13, 2024

This solution includes a Lambda function that continuously updates the Amazon Location tracker with simulated location data from fictitious journeys. You can test this solution yourself using the AWS Samples GitHub repository. The Lambda function is triggered at regular intervals using a scheduled EventBridge rule.

Analytics 90

Analytics IoT Metadata Internet of Things 90

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).

Data Lake 73

Data Lake Data Warehouse Sales Data-driven 73

Rocket-Powered Data Science

JULY 14, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Analytics 165

Analytics Internet of Things Prescriptive Analytics Data Science 165

AWS Big Data

OCTOBER 18, 2023

Spark SQL is an Apache Spark module for structured data processing. They use various AWS analytics services, such as Amazon EMR, to enable their analysts and data scientists to apply advanced analytics techniques to interactively develop and test new surveillance patterns and improve investor protection.

Big Data 77

Big Data Data Processing Interactive Testing 77

Juice Analytics

MARCH 27, 2021

Does your audience want the data to be interactive? DataPoint by PresentationPoint “Do you want to save time and money with real-time linking your slides to data sources, instant data updates, and no more copy-paste errors?” Replace or update your data for your entire presentation in seconds. Cost: $29/month.

Reporting 122

Reporting Visualization Interactive Software 122

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Data lakehouse was created to solve these problems.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

FineReport

JULY 18, 2022

Key features: It supports connecting to almost all mainstream data sources so that you can analyze data from different sources in just one single report or dashboard. It is also professional in data visualization with multiple pre-defined dashboards templates and various types of charts, such as dynamic charts and maps.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

CDW Research Hub

AUGUST 14, 2019

through NLU, interactive cards, and actions. I highly recommend using interactive learning through the CLI to train your model to handle unhappy paths. Here’s the command to run Rasa in interactive mode: rasa interactive –endpoints endpoints.yml. Rasa uses slots to hold user provided information, among other things.

Interactive 53

Interactive Modeling Machine Learning Testing 53

Cloudera

JULY 26, 2021

Authorization: Define what users of internal / external organizations can access and do with the data in a fine-grained manner that ensures compliance with e.g., data obfuscation requirements introduced by industry and country specific standards for certain types of data assets such as PII.

Strategy 115

Strategy Data Science Marketing Unstructured Data 115

IBM Big Data Hub

JULY 6, 2023

The development of generative AI —which uses powerful foundation models that train on large amounts of unlabeled data—can be adapted to new use cases and bring flexibility and scalability that is likely to accelerate the adoption of AI significantly.

Deep Learning 60

Deep Learning Machine Learning Unstructured Data Modeling 60

AWS Big Data

FEBRUARY 21, 2023

Toucan natively integrates with Redshift Serverless, which enables you to deploy a scalable data stack in minutes without the need to manage any infrastructure component. Amazon Redshift is a fully managed cloud data warehouse service that enables you to analyze large amounts of structured and semi-structured data.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 123

Metadata Cost-Benefit Enterprise Interactive 123

AWS Big Data

DECEMBER 21, 2023

After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets. The following diagram shows the high-level architecture setup after the move to Redshift Serverless.

Data Lake 85

Data Lake Data Warehouse B2B Data-driven 85