IBM Big Data Hub

DECEMBER 19, 2023

Anomaly detection simply means defining “normal” patterns and metrics—based on business functions and goals—and identifying data points that fall outside of an operation’s normal behavior. A machine learning model trained with labeled data will be able to detect outliers based on the examples it is given.

Unstructured data 68

Unstructured data Artificial Intelligence Sales Manufacturing 68

IBM Big Data Hub

FEBRUARY 14, 2024

For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions. Smart home devices such as the iRobot Roomba can navigate a home’s interior using computer vision and use data stored in memory to understand its progress.

Artificial Intelligence 86

Artificial Intelligence Retail Unstructured data Insurance 86

IBM Big Data Hub

FEBRUARY 2, 2023

In addition, companies have complex data security requirements. However, over the past decade, a vast array of compliance and security standards, such as SOC2, PCI, HIPAA, and GDPR, have been introduced, and met by cloud providers.

Cloud 56

Cloud Analytics Unstructured data Compliance 56

The Last Watchdog

APRIL 30, 2024

The recent Unitronics hack , in which attackers took control over a Pennsylvania water authority and other entities, is a good example. in different industries, including energy, manufacturing, and healthcare. The problem with this from a security perspective is that there tends to be no segregation between services.

Security 182

Security Cybersecurity Unstructured data Cloud 182

IBM Big Data Hub

JULY 6, 2023

One challenge in applying data science is to identify pertinent business issues. For example, is the problem related to declining revenue or production bottlenecks? Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app.

Data science 57

Data science Big data Analytics Mining 57

eDiscovery Daily

AUGUST 7, 2018

IG, or as it’s also known data governance, is basically a set of rules and policies that have to do with a company’s data. These rules and policies can cover issues such as: Security. Data access. Data storage & maintenance. Data backup and/or disposal. Accountability for employees handling data.

IT 31

IT Unstructured data Information governance Government 31

IBM Big Data Hub

SEPTEMBER 13, 2023

Digital transformation drives many IT investments, with a focus on adapting to new work models and customer expectations, increasing capacity to respond to higher demand, managing growth with fewer resources, enhancing eCommerce capabilities, and supporting security and compliance requirements.

Digital transformation 93

Digital transformation Unstructured data Artificial Intelligence Cloud 93