In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

Unstructured data comprises 80% of total data volume for legal organizations, which means that on average, only one-fifth of the entirety of the data set is properly secured and actively managed.

Enterprises today collect unimaginable amounts of data. But if data is raw, enterprises cannot utilize it to its full potential. Data wrangling helps turn this raw data into valuable data for the ...

Tsukuba, Japan—Data visualization has emerged as a powerful tool for enabling data-driven decision-making across diverse domains, including business, medicine, and scientific research. However, no ...

For all the hype about data (how many times have you heard “data is the new oil”?), a shocking number of business leaders are missing out on their biggest data asset. The spotlight has been on ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Cohesity, a leader in AI-powered data security, today introduced a patent-pending visual data exploration capability to Cohesity Gaia, its first-to-market AI-powered ...

LEUVEN, Belgium--(BUSINESS WIRE)--Datadobi, a global leader in vendor-neutral unstructured data management, today announced the latest release of its StorageMAP platform. StorageMAP 6.6 adds important ...

Long-time Forrester analyst and Elastic CIO discuss strategies for realizing value from data with search-powered technology We asked a longtime CIO and a leading analyst whether organizations today ...

Data visualization is a process in data analytics where visual representation communicates the data and insights to facilitate good data-driven decisions. Basically, data visualization is ...

Large language models (LLMs) such as OpenAI’s GPT-4 are the building blocks for an increasing number of AI applications. But some enterprises have been reluctant to adopt them, owing to their ...

The report "Industrial Data Management Market by Type (Data Orchestration & Analytics, Data Storage & Integration, Data Sharing, Data Security, Data Visualization, Data Governance & Compliance), Data ...