IBM Big Data Hub

MAY 19, 2023

According to the research, organizations are adopting cloud ERP models to identify the best alignment with their strategy, business development, workloads and security requirements. In addition, cloud ERP solutions enable SMEs to enhance their overall productivity by reducing manufacturing time.

Cloud 81

Cloud Unstructured data Customer Experience Manufacturing 81

IBM Big Data Hub

DECEMBER 19, 2023

However, data scientists should monitor results gathered through unsupervised learning. Because these techniques are making assumptions about the data being input, it is possible for them to incorrectly label anomalies. Engineers can apply unsupervised learning methods to automate feature learning and work with unstructured data.

Unstructured data 72

Unstructured data Artificial Intelligence Sales Manufacturing 72

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 57

Cloud Analytics Unstructured data Compliance 57

IBM Big Data Hub

FEBRUARY 14, 2024

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. Clean up with predictive maintenance AI can be used for predictive maintenance by analyzing data directly from machinery to identify problems and flag required maintenance.

Artificial Intelligence 89

Artificial Intelligence Retail Unstructured data Insurance 89

The Last Watchdog

APRIL 30, 2024

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. The largest ones, such as Amazon and Microsoft, have stringent protocols for securing their cloud infrastructures.

Security 100

Security Cybersecurity Unstructured data Cloud 100

IBM Big Data Hub

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics.

Data science 60

Data science Big data Analytics Mining 60

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