Rocket-Powered Data Science

MARCH 10, 2020

Entities are the nodes in the graph — these can be people, events, objects, concepts, or places. Each of those cases deeply involves entities (people, objects, events, actions, concepts, and places) and their relationships (touch points, both causal and simple associations). community detection ).

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Ontotext

MARCH 19, 2021

The same goes for metadata: the more intense the information environments we work in, the more complex the ways we describe the information objects in them. This also holds true for metadata – metadata turns unstructured, noisy data into meaningful digital objects, which makes their exchange and management easier.

Metadata 124

Metadata Enterprise Publishing Management 124

O'Reilly on Data

MARCH 22, 2019

We’re all used to spam blocking, and we don’t object to it, at least partly because email would be unusable without it. Spam detection happens in the background; we don’t see it. Credit card fraud detection is another system that makes ethical decisions for us. Spam detection is the exception, not the rule.

Metadata 241

Metadata Advertising Insurance Modeling 241

IBM Big Data Hub

MARCH 25, 2022

These services include the ability to auto-discover and classify data, to detect sensitive information, to analyze data quality, to link business terms to technical metadata and to publish data to the knowledge catalog. Automated data enrichment : To create the knowledge catalog, you need automated data stewardship services.

Metadata 112

Metadata Data Quality Data Governance Data Integration 112

IBM Big Data Hub

FEBRUARY 14, 2024

Companies also take advantage of ML in smartphone cameras to analyze and enhance photos using image classifiers, detect objects (or faces) in the images, and even use artificial neural networks to enhance or expand a photo by predicting what lies beyond its borders. Robots handle and move physical objects.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

Insight

OCTOBER 4, 2019

As an example, we learn how to detect faces of cats in cat pictures. But even if you don’t care about cats, by following these exact same steps, you will be able to build an object detection algorithm for your own use case. For decent results, label at least 100 objects?—?the Detected cat faces on test images.

Testing 69

Testing Modeling Visualization Publishing 69

Smart Data Collective

AUGUST 11, 2022

This massive undertaking requires input from groups of people to help correctly identify objects, including digitization of data, Natural Language Processing, Data Tagging, Video Annotation, and Image Processing. The biggest challenge has remained the early detection of data issues which also remains unknown to the data owners.

Data Quality 129

Data Quality Machine Learning Digital Transformation Big Data 129

IBM Big Data Hub

OCTOBER 16, 2023

Filtering email ML algorithms in Google’s Gmail automate filtering customers’ email into Primary, Social and Promotions categories while also detecting and rerouting spam to a spam folder. Antivirus programs may use AI and ML techniques to detect and block malware.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

IBM Big Data Hub

APRIL 18, 2024

While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag. Current AI systems struggle with context, color and understanding how to react to partially hidden objects. It detects a slight vibration in a critical machine, indicating potential wear and tear.

Cost-Benefit 87

Cost-Benefit Modeling Manufacturing Interactive 87

IBM Big Data Hub

AUGUST 28, 2023

The data collection process should be tailored to the specific objectives of the analysis. Part-of-speech (POS) tagging: POS tagging facilitates semantic analysis by assigning grammatical tags to words (e.g., For instance, a parsing model could identify the subject, verb and object of a complete sentence.

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

Smart Data Collective

JULY 1, 2023

It involves human annotators using a tool to label images or tag relevant information. For example, annotators can label vehicles in images to train a model to recognize and detect vehicles and differentiate them from pedestrians, traffic lights, or obstacles on the road.

Metrics 63

Metrics Machine Learning Uncertainty Deep Learning 63

Cloudera

NOVEMBER 10, 2021

Furthermore, Apache Ranger now supports Public Cloud objects stores like Amazon S3 and Azure Data Lake Store (ADLS). In Sentry, any privilege granted on a container object in the hierarchy is automatically inherited by the base object within that. These Ranger plugins cache the access privileges and tags at client side.

Data Lake 75

Data Lake Management Metadata Modeling 75

IBM Big Data Hub

DECEMBER 19, 2023

For many enterprises, the journey to cloud reduces technical debt costs and meets CapEx-to-OpEx objectives. Those objectives require a target operating model. This includes rearchitecting to microservices , lift-and-shift , replatforming, refactoring, replacing and more.

Data-driven 69

Data-driven Software Enterprise Testing 69

AWS Big Data

SEPTEMBER 29, 2023

It automatically detects XML data structure and schema, which is useful for common formats. The following screenshot shows an example of an XML file with tags. For Row tag , enter the name of the root tag that contains the metadata (for example, metadata ). We use the AWS Glue crawler to extract XML file metadata.

Metadata 65

Metadata Visualization Data-driven Optimization 65

AWS Big Data

AUGUST 23, 2023

With managed domains, you can use advanced capabilities at no extra cost such as cross-cluster search, cross-cluster replication, anomaly detection, semantic search, security analytics, and more. available in OpenSearch Service) supports the following new object mapping types : Cartesian field type – OpenSearch 2.7

Snapshot 93

Snapshot Dashboards Visualization Metrics 93

Domino Data Lab

FEBRUARY 19, 2021

Previously, we published a blog that covers the installation steps and an introduction into spaCy that processes raw text into an NLP document and walks through the steps required to analyze and visualize data in many different ways, including entity detection and sentiment analysis. That blog can be found here. import spacy. import spacy.

Enterprise 119

Enterprise Data Science Modeling Visualization 119

Sisense

JANUARY 8, 2021

Yik Yak could have tagged message content with the originating IP address and then quickly blocked messages from that IP after abusive language was detected. Leveraging the right collective datasets with CNNs could have identified images tagged to a geographical place already freely shared on the internet.

Cost-Benefit 98

Cost-Benefit Forecasting Data Lake Data-driven 98

AWS Big Data

JUNE 29, 2023

format(query_type, object) } }, { 'type': 'divider' }, { 'type': 'section', 'fields': [{ 'type': 'mrkdwn', 'text': ':desktop_computer: *Cluster Name:*n{}'.format(cluster) format(query_type, object) } }, { 'type': 'divider' }, { 'type': 'section', 'fields': [{ 'type': 'mrkdwn', 'text': ':desktop_computer: *Cluster Name:*n{}'.format(cluster)

Data Warehouse 59

Data Warehouse Dashboards Testing Visualization 59

Cloudera

SEPTEMBER 23, 2020

Database object security. Database object-level security is available through the centralized authorization framework of Apache Ranger. . Both fine-grained access control of database objects and access to metadata is provided. Protected database objects include: database, table, column, view and User Defined Functions (UDFs). .

Data Lake 80

Data Lake Metadata IoT Enterprise 80

Ontotext

MAY 22, 2023

Still, LLMs have a role to play – they can make our text analysis pipelines much more efficient for tasks like sentiment analysis, classification and event detection. This is critical for many applications, including fraud detection, risk assessment, and recommender systems. We use other deep learning techniques for such tasks.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Cloudera

JUNE 28, 2022

In this blog we will show a real example of how that is done, looking at how we can use CSP to perform real-time fraud detection. Fraud detection is a great example of a time-critical use case for us to explore. Besides the streaming data though, we also have traditional data stores (databases, key-value stores, object stores, etc.)

Dashboards 81

Dashboards Machine Learning Statistics KPI 81

Smart Data Collective

JUNE 4, 2021

Anomaly Detection (Semi-Supervised). Anomaly detection is the Identification of unexpected events. One of the common use cases of anomaly detection is identifying fraudulent card transactions. Some examples of image recognition are reading text from images, identifying the objects in images, and face recognition.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

O'Reilly on Data

MARCH 7, 2019

Not only will named entity recognition or entity resolution models fail, but even basic tasks such as tokenization , part of speech tagging , and sentence segmentation will fail for the majority of sentences. Postop (from "Objective" section of a SOAP note ): Vitals- Tmax: 99.8, negation) detection.

Deep Learning 227

Deep Learning Testing Machine Learning Modeling 227

AWS Big Data

APRIL 24, 2023

Performing an operation like inserting, updating, and deleting individual records from a dataset requires the processing engine to read all the objects (files), make the changes, and rewrite entire datasets as new files. An AWS Glue crawler is integrated on top of S3 buckets to automatically detect the schema.

Data Lake 79

Data Lake Data Governance Cost-Benefit Machine Learning 79

datapine

SEPTEMBER 29, 2022

The development of quality rules is essential to the success of any DQM process, as the rules will detect and prevent compromised data from infecting the health of the whole set. Much like antibodies detecting and correcting viruses within our bodies, data quality rules will correct inconsistencies among valuable data.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

JUNE 6, 2023

As most organizations, that have turned to Google Analytics (GA) as a digital analytics solution, mature they discover a more pressing need to integrate this data silo with the rest of their organization’s data to enable better analytics and resulting product development and fraud detection. We then check if the glue job already exists.

Analytics 55

Analytics Data Lake Testing Optimization 55

Domino Data Lab

MARCH 6, 2019

Deep learning is now frequently used for tasks such as image classification, object detection, image segmentation and image generation. He demonstrated those capabilities using an impressive video of real-time detection of cars in drone footage. Deep Learning on Imagery. Impressive, but look for yourself. Deep learning on Text.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

AWS Big Data

OCTOBER 25, 2023

In addition, identifying incremental changes requires specialized patterns and detecting sensitive data and meeting compliance requirements calls for sophisticated functions. There might be scenarios where, after accessing the AI extracted output, the end-user wants to access the original raw object (such as media files) for further analysis.

Unstructured Data 117

Unstructured Data Metadata Management Analytics 117

Cloudera

NOVEMBER 19, 2020

Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors. Robust detection-and-response depends on the ability to spot anomalous activity on the system. A solid foundation for fraud detection. A better approach is needed.

Machine Learning 114

Machine Learning Data-driven Modeling Deep Learning 114

The Unofficial Google Data Science Blog

JANUARY 31, 2017

To contrast machine learning with statistics is not the object of this post (we can do such a post if there is sufficient interest). But what if we are faced with many different situations and many possible interventions, with the objective to select the best intervention in each case?

Machine Learning 73

Machine Learning Modeling Statistics Predictive Modeling 73

CIO Business Intelligence

AUGUST 16, 2022

Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems.

Visualization 145

Visualization Cost-Benefit IoT Digital Transformation 145

IBM Big Data Hub

NOVEMBER 29, 2023

For each Git commit, a container image is created, and a tag is assigned to the image based on the build number, timestamp and commit ID. This tagging system ensures the image’s traceability. The addition of the created image tag instantly updates the deployment record.

Testing 97

Testing Dashboards Risk Data Processing 97

Cloudera

MAY 26, 2021

Anybody who is storing customer information, healthcare, financial or sensitive proprietary information will need to ensure they are taking steps to protect that data and that includes detecting and preventing inadvertent or malicious access. According to research by The Ponemon Institute the average global cost of ?Insider Insider Threats?

Reporting 73

Reporting Management Measurement Testing 73

CIO Business Intelligence

APRIL 12, 2022

Certain types of behaviors or objects can also be monitored. Pollution sensors detect elevations in airborne chemicals, such as carbon monoxide, triggering an alert that results in varying fees paid by those vehicle owners. Drivers typically need a tag or pass for high-occupancy lanes on freeways.

IT 67

IT Cost-Benefit IoT Machine Learning 67

Alation

JANUARY 25, 2022

But social extends even further; it includes the comments users make, assets they flag as favorites, the watches they set on assets, who they tag and how, and their level of expertise. But underlying technologies don’t all need to be the same in order to accomplish their specific objectives. Who uses what asset when?

Metadata 52

Metadata IT Metrics Data-driven 52

CIO Business Intelligence

APRIL 15, 2024

We’ve deployed it through many of our products for use cases from fraud detection, to personalization, to our intelligent tax assistant, which helps identify tax savings for our customers.” This tax season, H&R Block has worked closely with long-time partner Microsoft to apply gen AI to help 69 million customers do their own taxes.

Testing 76

Testing Experimentation Data Quality Machine Learning 76

Alation

NOVEMBER 22, 2022

Setting data management policies, like tagging data. A data governance framework enables entities to detect potential problems with data. They can leverage fraud prevention analytics tools to detect when funds go to the incorrect recipient, the wrong amount has been transferred, or if there was an improper payment.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52