DLA Piper Privacy Matters

MAY 11, 2020

Create an operationally significant limited exception to deletion and access rights for many types of unstructured data. Some good news for CCPA-regulated ‘businesses’ The CPRA would: Limit businesses’ liability for violations of the law by “third-party” businesses.

Privacy 52

Privacy Unstructured data Access Data collection 52

Collibra

SEPTEMBER 2, 2020

Many organizations store their data in a data lake, which is a central repository that houses large volumes of raw data, including structured, semistructured and unstructured data. Typically, an organization’s data lake stores data from multiple different sources across the enterprise.

Unstructured data 59

Unstructured data Government Risk Access 59

Thales Cloud Protection & Licensing

FEBRUARY 18, 2021

Additionally, organizations are obligated to report any data security incidents or breaches to Brazilian national authorities. Visibility across the organization provides the accurate data it needs to make informed decisions. Analysis: identifies the risk of exposure to guide an effective data protection strategy (Article 50).

Compliance 98

Compliance Unstructured data Personal data Big data 98

Archives Blogs

NOVEMBER 16, 2018

Speaking at the industry-sponsored media event “ Accelerated AI: Shaping the Future of Government with Artificial Intelligence ” (11/13/2018), in Washington, D.C., Dr. Frincke argued that vast and growing sets of “noisy data” (volumes of structured and unstructured data), make AI indispensable to human analysts.

Unstructured data 26

Unstructured data Artificial Intelligence Government Communications 26

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

IBM Big Data Hub

FEBRUARY 2, 2023

Misconception 1: Cloud data warehouses are more expensive When considering moving data warehouses from on-premises to the cloud, companies often get sticker shock at the total cost of ownership. However, a more detailed analysis is needed to make an informed decision.

Cloud 57

Cloud Analytics Unstructured data Compliance 57

IBM Big Data Hub

JANUARY 5, 2023

Critical capabilities of modern high-quality data quality management solutions require an organization to: Enforce data governance across an organization by augmenting manual data quality processes with metadata and AI-related technologies. Perform data quality monitoring based on pre-configured rules.

Metadata 52

Metadata Analytics Big data Unstructured data 52

Info Source

JUNE 11, 2019

M-Files for Salesforce seamlessly integrates M-Files content services directly within the familiar Salesforce user interface, providing easy access to out-of-the-box document management, compliance and governance features via the user interface where Salesforce users spend most of their time throughout the day.

Access 40

Access Unstructured data ECM Sales 40

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Data science 60

Data science Big data Analytics Mining 60

Everteam

MARCH 12, 2019

“By 2022, 50% of organizations will include unstructured, semistructured and structured data within the same governance program, up from less than 10% today.” Gartner Market Guide for File Analytics. After all, they are very different types of information, so they require different technology and governance approaches.

Unstructured data 84

Unstructured data Metadata Information governance Data structuring 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

Collibra

SEPTEMBER 9, 2022

The impact of data quality is directly seen in lower revenue and higher operational costs, both resulting in financial loss. Data quality significantly influences the organizational efforts in governance and compliance, leading to additional rework and delay. Data Downtime. The most common data quality problem statements.

Analytics 105

Analytics Customer Experience Marketing Unstructured data 105

ARMA International

SEPTEMBER 22, 2021

While these RIM practices are still important to help ensure governance, compliance, and manage risks, it is also important to realize that information is both a product and a service. Information Governance (IG). Discussions of IG often lead to a discussion of data governance (DG) and whether the two are different.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

The Last Watchdog

JUNE 1, 2022

Concentric got its start in 2018 to help companies solve data sprawl — from the data security and governance perspective – and has grown to 50 employees, with $22 million in venture capital backing. Data is the foundational element. I had the chance to visit with Karthik Krishnan, CEO of San Jose, Calif.-based

Unstructured data 236

Unstructured data Sales Cloud Government 236

IBM Big Data Hub

AUGUST 17, 2023

The process to create the commentary began by populating a data store on watsonx.data , which connects and governs trusted data from disparate sources (such as player rankings going into the match, head-to-head records, match details and statistics). million data points are captured, drawn from every shot of every match.

Unstructured data 95

Unstructured data Metadata Government IT 95

Collibra

JUNE 25, 2021

Without moving or extracting any data, the predictive DQ can scale up seamlessly and deliver continuous data quality across multiple sources. With fully automatic profiling, outlier detection, schema change detection and pattern analysis, you don’t need to worry about too much data. Data Downtime.

Analytics 59

Analytics Customer Experience Unstructured data Metadata 59

IBM Big Data Hub

JUNE 21, 2023

The solution is built from a foundation model developed using watsonx, IBM’s enterprise-grade AI platform designed to manage the entire lifecycle of AI models, from curating trusted data sources to governing responsible, trusted AI. “This is what we mean when we say ‘AI for Business.’

Unstructured data 77

Unstructured data Digital transformation Analytics Government 77

IBM Big Data Hub

AUGUST 17, 2023

Building on previous innovations that provide up-to-the-minute predictions of performance based on player momentum from the first round to the finals, this year also sees the introduction of AI Draw Analysis at the US Open. Over 30 years in, IBM and the US Open continue to overcome new challenges and engage fans with new experiences.

Digital transformation 55

Digital transformation Unstructured data Access Government 55

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

erwin

JUNE 27, 2019

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool. Perform impact analysis.

Unstructured data 81

Unstructured data Metadata Analytics GDPR 81

IBM Big Data Hub

AUGUST 1, 2022

As a company, we have been entrusted with organizing data on a national scale, made revolutionary progress in data storing technology and have exponentially advanced trustworthy AI using aggregated structured and unstructured data from both internal and external sources. . government on the U.S.

Unstructured data 52

Unstructured data Artificial Intelligence Paper Communications 52

eSecurity Planet

SEPTEMBER 13, 2021

LogRhythm Threat Lifecycle Management (TLM) Platform delivers a coordinated collection of data analysis and incident response capabilities to enable organizations around the globe to rapidly detect, neutralize and recover from security incidents. Log correlation and analysis. Learn more about Palo Alto Networks. Visit website.

Analytics 123

Analytics Cybersecurity Risk Cloud 123

Thales Cloud Protection & Licensing

DECEMBER 8, 2020

Having a partial understanding of your data or operating over a reduced area of the problem is like leaving the backdoor open. Organizations need to move towards a more holistic and proactive approach to addressing security threats and managing compliance requirements in today’s data-driven economy. Discover the location of your data.

Privacy 62

Privacy Digital transformation Data Privacy Risk 62

IBM Big Data Hub

JANUARY 16, 2024

Companies are also striving to balance this innovation with growing environmental, social and governance (ESG) regulations. In this blog post, we delve into an in-depth analysis to assess, implement recommendations on, and analyze the carbon emission effects of a monolithic application running on AWS through a sustainability lens.

Energy and Utilities 95

Energy and Utilities IT Cloud Unstructured data 95

Collibra

MAY 19, 2021

AI and ML can provide a tremendous boost to automating analysis and decisions, but it needs high-quality data to harness its true power. 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.

Analytics 59

Analytics Metadata Unstructured data Access 59

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.

Cloud 73

Cloud Analytics Digital transformation Customer Experience 73

Info Source

MARCH 20, 2019

“It allows users to design and deploy intelligent robots that use built-in AI and machine learning to perform functions such as recognizing, classifying, and when needed transforming unstructured data into structured formats. Designing RPA robots quicker and more accurately with volumetric and exception path analysis. ?

Digital transformation 56

Digital transformation Unstructured data Compliance Financial Services 56

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.

Cloud 52

Cloud Analytics Digital transformation Customer Experience 52

Collibra

DECEMBER 8, 2022

To begin to answer these questions, it’s instructive to look back at the history of data and data analysis. A short history of data. Data and the analysis of data has a long history that dates back centuries, even millenia. The Egyptians recorded data on papyrus to track commercial transactions.

Metadata 91

Metadata Unstructured data Government Big data 91

Brandeis Records Manager

SEPTEMBER 19, 2016

When we consider that fixed, controlled records following recordkeeping principles and information governance are typical objectives in our programs, it’s not unreasonable to get a little scared by this. A recent Iron Mountain US government employee survey cited the skills gaps that need to be closed by tomorrow’s info pro.

Blockchain 62

Blockchain Records Management Unstructured data Artificial Intelligence 62

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 64

Analytics Artificial Intelligence Digital transformation Access 64