IBM Big Data Hub

OCTOBER 30, 2023

Adopting AI in business at scale is not without its challenges, including data privacy concerns, integration complexities and the need for skilled personnel. Scaling AI in business presents unique challenges: Data accessibility : Fragmented and siloed data stifle advancement.

Analytics 86

Analytics Retail Cloud Insurance 86

The Last Watchdog

NOVEMBER 4, 2021

Getting credentials from each user by itself is a huge hurdle, especially when combined with no real understanding of which users have access to which data. A myriad of companies have emerged over the past few years to facilitate data cataloguing according to the expectations of regulators. billion by 2027.

Personal data 237

Personal data Unstructured data Privacy Data Privacy 237

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Privacy Access Libraries 52

DLA Piper Privacy Matters

NOVEMBER 16, 2020

Compliance teams may be relieved to find an exception to the deletion and access rights for many types of unstructured data, which are often very difficult to retrieve in response to a rights request. Jim Halpert, Andrew Serwin, Andrew Kingman.

Privacy 84

Privacy Unstructured data B2B Sales 84

DLA Piper Privacy Matters

JUNE 5, 2020

Narrow unstructured data exception. Under § 999.313(c)(3). Responding to Requests to Know and Requests to Delete, the FSOR states that new section 3(c) was “added to set forth the conditions under which a business is not required to search for personal information in response to a request to know (emphasis added).

Unstructured data 52

Unstructured data Compliance Privacy Sales 52

eSecurity Planet

AUGUST 4, 2022

The benefit to organizations is that they can share confidential data with each other while also ensuring compliance with data privacy regulations. Protects both structured and unstructured data. Protection for data in use, at rest, in the cloud, and in analytics. Key Differentiators.

Encryption 115

Encryption Computer and Electronics Cloud Passwords 115

CGI

SEPTEMBER 25, 2018

Those who have embraced GDPR have probably established privacy by design as an inherent part of their business. We should remember though that GDPR is simply one part of a good cybersecurity and data privacy strategy, which, in turn, is part of the effective use of IT for business. In summary.

Privacy 40

Privacy GDPR Cybersecurity Unstructured data 40

Thales Cloud Protection & Licensing

DECEMBER 8, 2020

Can visibility be the key to better privacy? Technology innovation creates business value for organizations, but also new challenges for data privacy and protection. The fallout from data privacy violations can cripple any organization for a long time. There are five steps to effective data privacy: 1.

Privacy 62

Privacy Digital transformation Data Privacy Risk 62

IBM Big Data Hub

JANUARY 10, 2024

AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended. In order to “teach” a program new information, the programmer must manually add new data or adjust processes.

Artificial Intelligence 84

Artificial Intelligence Unstructured data Data science Customer Experience 84

Collibra

AUGUST 7, 2020

Across all industry verticals, companies are collecting much greater volumes of data, which points to the need for scalable, cost-effective solutions. They are also collecting a greater variety of data (including structured, semi-structured and unstructured data) that is difficult to describe via a single schema.

Cloud 81

Cloud Government Unstructured data Analytics 81

Reltio

OCTOBER 9, 2022

Benefits of a Big Data Management Plan. Forbes reported that 95 percent of businesses say they struggle to manage unstructured data. Big data management involves understanding the 5Vs of big data and using the right tools, technologies, people and processes to manage it effectively. Challenges in Managing Big Data.

Big data 52

Big data MDM Unstructured data Analytics 52

OpenText Information Management

APRIL 15, 2024

OpenText™ Aviator Search : We have introduced a generative-AI chat user interface (UI) with referenced knowledge discovery for our unstructured data analytics solution, OpenText™ IDOL™, leveraging generative-AI and large language models (LLMs) for knowledge gathering, without replication or relocation. OpenText™ Thrust Studio : CE 24.2

Cloud 96

Cloud Analytics Digital transformation Customer Experience 96

OpenText Information Management

APRIL 15, 2024

OpenText™ Aviator Search : We have introduced a generative-AI chat user interface (UI) with referenced knowledge discovery for our unstructured data analytics solution, OpenText™ IDOL™, leveraging generative-AI and large language models (LLMs) for knowledge gathering, without replication or relocation. OpenText™ Thrust Studio : CE 24.2

Cloud 94

Cloud Analytics Digital transformation Customer Experience 94

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