IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Data science 54

Data science Big data Analytics Mining 54

eSecurity Planet

SEPTEMBER 22, 2022

What is a Security Data Lake? The typical data lake serves a repository for an organization and holds unstructured data regarding company products, financial data, customer data, supplier data, and marketing information. Features to Look for in a Security Data Lake Vendor.

Security 117

Security Analytics Cloud Unstructured data 117

Collibra

SEPTEMBER 9, 2022

Duplicate data increases the probability of skewed analytical results. As training data, it can also produce skewed ML models. Rule-based data quality management can help you keep a check on duplicate and overlapping records. Ambiguous data. Hidden data. Too much data.

Analytics 92

Analytics Customer Experience Marketing Unstructured data 92

Collibra

FEBRUARY 3, 2022

As cloud data storage and advanced analytics become the norm, the quality of data gets critical. Especially when you want your data lake to power trusted analytical results. How poor data quality can lead to bad decisions. Why data lakes suffer from quality issues.

Metadata 52

Metadata Analytics Unstructured data Government 52

Collibra

JUNE 25, 2021

Duplicate data increases the probability of skewed analytical results. As training data, it can also produce skewed ML models. Rule-based data quality management can help you keep a check on duplicate and overlapping records. Ambiguous data. Hidden data. Too much data.

Analytics 59

Analytics Customer Experience Unstructured data Metadata 59

OpenText Information Management

MAY 17, 2019

One of the big challenges for organizations today is how to realize the business value currently locked in the huge amounts of unstructured data being generated. Some experts claim as much as 80 percent of data collected by organizations is unstructured – information such as emails, social media feeds and documents.

Unstructured data 44

Unstructured data Data collection Analytics 44

IBM Big Data Hub

JULY 12, 2023

Generative AI is changing the game Generative AI can be applied to an array of use cases, such as sorting and classifying written input, transforming domain-specific text into personalized summaries, identifying and extracting essential information from unstructured data, and generating code, marketing content and more.

Unstructured data 53

Unstructured data Government Compliance Marketing 53

IBM Big Data Hub

AUGUST 28, 2023

Text representation In this stage, you’ll assign the data numerical values so it can be processed by machine learning (ML) algorithms, which will create a predictive model from the training inputs. Each word becomes a feature, and the frequency of occurrence represents its value.

Mining 53

Mining Marketing Artificial Intelligence Customer Experience 53

Collibra

MAY 19, 2021

With the increasing volume and variety of data arriving at increasing velocity, data quality is proving to be the biggest challenge for trusted analytics and AI. ML has a big appetite for data. A model trained on a small data set may not correctly represent the pattern. Bad Data + Good Models = Bad Results.

Analytics 59

Analytics Metadata Unstructured data Access 59

IBM Big Data Hub

SEPTEMBER 7, 2023

The Granite family of models is no different, and so we trained them on a variety of datasets — totaling 7 TB before pre-processing, 2.4 We have developed governance procedures for incorporating data into the IBM Data Pile which are consistent with IBM AI Ethics principles.

Artificial Intelligence 102

Artificial Intelligence Unstructured data Risk Compliance 102

Everteam

APRIL 16, 2019

Machine learning makes it possible to analyze unstructured data semantically to suggest classifications based on text found. For machine learning to work, you have to provide some training sets of documents for each classification for everteam.discover to learn from. Classifying Content with everteam.discover.

ROT 40

ROT Information governance Metadata Government 40

IBM Big Data Hub

AUGUST 1, 2023

Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. All watsonx.ai

Artificial Intelligence 56

Artificial Intelligence Marketing Unstructured data Manufacturing 56

eSecurity Planet

AUGUST 17, 2022

Best Cybersecurity Solutions : Overall Vendor Top Startup EDR Firewall SIEM Intrusion Detection Breach and Attack Simulation Encryption Small Business Security Email Security IAM NAC Vulnerability Management Security Awareness Training. Best Security Awareness Training: KnowBe4. Best Cybersecurity Company: Palo Alto Networks.

Cybersecurity 133

Cybersecurity Security awareness Marketing Cloud 133

Collibra

JULY 27, 2022

As Dave Mosley — CEO of Seagate Technology — states, “the value that a company derives from data directly affects its success.” ” To be consistently successful, you have to tap into every stream of data, and ensure the data used for analytics is reliable and trustworthy. Enhance analytics.

Metadata 52

Metadata Artificial Intelligence Analytics Unstructured data 52

IBM Big Data Hub

JUNE 21, 2023

The solution uses gesture recognition (such as fist pumps and players’ reactions), crowd noise and game analytics (such as break points) to identify highlight-worthy videos in both golf and tennis. For AI Commentary, the team drew source material from nearly 130 million documents.

Unstructured data 70

Unstructured data Digital transformation Analytics Government 70

IBM Big Data Hub

SEPTEMBER 13, 2023

To drive personalized actions, insights and visibility, large volumes of data (ERP, WMS, RFID and visual analytics) need to be ingested, normalized and analyzed at high speeds. What took months of training takes just days now. The need for agile, resilient and competitive supply chains has never been greater than today.

Customer Experience 67

Customer Experience Unstructured data Blockchain Cloud 67

IBM Big Data Hub

MAY 17, 2023

Different drone requirements require different investments such as commercial drone pilots with specialized continuous training, cutting-edge software and equipment that supports technical payloads (such as LiDAR, thermal cameras and more). The global commercial drone market is projected to grow from USD 8.15 billion in 2022 to USD 47.38

Energy and Utilities 77

Energy and Utilities Data collection Analytics Mining 77

CILIP

JANUARY 24, 2022

Data and Analytics (DA) is about measurement and insights. We develop self-service options that keep up with the demand for analytic capability. And the really exciting thing from my perspective is the placement of knowledge assets in the right context and space in this virtual environment, plus many VR training opportunities.

e-Delivery 52

e-Delivery Analytics Unstructured data Information architecture 52

Reltio

JANUARY 28, 2021

The best practice to combine different types of master data goes far beyond your internal data sets. Using data to win in your market means using data that your competitors can’t access, like your business’ unique Big Data, IoT, and unstructured data in videos, chats, and audio.

MDM 98

MDM Customer Experience Marketing Government 98

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Analytics 59

Analytics Artificial Intelligence Digital transformation Access 59

Brandeis Records Manager

SEPTEMBER 19, 2016

Massive information analysis, tagging, metadata assignment, and classification are a few of those roles that smart machines, once trained, may cover completely: many on the legal side of our profession have already experienced this through technology-assisted review. Perhaps we will monitor massive data grid activity.

Blockchain 62

Blockchain Records Management Unstructured data Artificial Intelligence 62