IBM Big Data Hub

NOVEMBER 29, 2023

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

Artificial Intelligence 84

Artificial Intelligence Unstructured data Analytics Customer Experience 84

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.

Unstructured data 81

Unstructured data Metadata Analytics GDPR 81

IBM Big Data Hub

MAY 22, 2018

To accelerate its journey to AI, a data-driven organization needs a trusted data foundation that empowers information stakeholders. Stakeholders need the ability to discover, understand, integrate, analyze, govern and self-serve structured and unstructured data — on premises, on cloud, and hybrid — at any scale.

Unstructured data 60

Unstructured data Cloud Government IT 60

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 90

Unstructured data Metadata Government IT 90

erwin

MARCH 26, 2020

There are three technological advances driving this data consumption and, in turn, the ability for employees to leverage this data to deliver business value 1) exploding data production 2) scalable big data computation, and 3) the accessibility of advanced analytics, machine learning (ML) and artificial intelligence (AI).

Unstructured data 90

Unstructured data Artificial Intelligence Analytics Access 90

Reltio

JANUARY 28, 2021

To illustrate, some companies were able to pivot faster to curbside pick up and virtual experiences that were traditionally run live in person, such as auctions, without creating a disconnected customer experience because they had a single source of truth for their enterprise data. 2 Make data governance an integral part.

MDM 98

MDM Customer Experience Government Marketing 98

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time.

Retail 90

Retail Unstructured data Artificial Intelligence Sales 90

IBM Big Data Hub

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices.

Energy and Utilities 73

Energy and Utilities Unstructured data Artificial Intelligence IoT 73

eSecurity Planet

AUGUST 4, 2022

That’s one of the reasons why the White House recently put out two executive memos mandating that government agencies upgrade to post-quantum encryption. These memos will likely not only impact the security landscape at the government level, but also industries that work closely with the U.S. Key Differentiators.

Encryption 132

Encryption Computer and Electronics Cloud Passwords 132

IBM Big Data Hub

SEPTEMBER 7, 2023

It has an end-to-end process for building and testing foundation models and generative AI — starting with data collection and ending in control points for tracking the responsible deployments of models and applications — focused on governance, risk assessment, bias mitigation and compliance.

Artificial Intelligence 101

Artificial Intelligence Unstructured data Risk Compliance 101

CGI

OCTOBER 14, 2019

The next stage is to identify where you will source the data. Historically, organizations built big data repositories to drive reporting from a consistent view of the data. The other issue with big data is that it contains structured data, whereas AI and analytics can use unstructured data.

Artificial Intelligence 64

Artificial Intelligence Analytics Customer Experience Big data 64

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Metadata 52

Metadata Analytics Big data Unstructured data 52

Thales Cloud Protection & Licensing

OCTOBER 25, 2018

If we focus primarily on perimeter defense, we will continue to see data breaches and exposure to our critical infrastructure. Perimeter defense, while necessary, is not enough to protect our sensitive data. A significant portion of the CDM effort highlights the requirements for a data-centric approach for cyber protection.

Cybersecurity 66

Cybersecurity Education Unstructured data Risk 66

IBM Big Data Hub

JANUARY 17, 2023

At the core of a data lakehouse architecture includes the storage, metadata service and the query engine, and typically a data governance component made up of a policy engine and a data dictionary. In an open data lakehouse an open data governance approach is also supported.

Metadata 52

Metadata Analytics Unstructured data Government 52

IBM Big Data Hub

MAY 14, 2024

A generative AI agent or assistant can ingest and summarize structured and unstructured data from internal and external sources, parse through it and generate insights and patterns for financial information that can drive business value and potentially identify untapped revenue streams.

Unstructured data 67

Unstructured data Government Cloud Analytics 67

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics.

Analytics 72

Analytics Cloud Unstructured data Libraries 72

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Data science 54

Data science Big data Analytics Mining 54

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 69

Unstructured data Digital transformation Analytics Government 69

Reltio

JANUARY 28, 2021

IoT data could entirely transform supply chain management. Unstructured data in chats, phone calls, and videos are the new frontier to customer-centricity. Using either of these digital innovations requires an MDM platform with big data architecture that can capture all the interactions and transactions.

MDM 52

MDM Unstructured data Marketing Compliance 52

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 Government 52

IBM Big Data Hub

FEBRUARY 2, 2023

Organizations looking to increase adoption of ML are turning to cloud data warehouses that support new, open data formats to catalog, ingest, and query unstructured data types.

Cloud 56

Cloud Analytics Unstructured data Compliance 56

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

Analytics 77

Analytics Retail Cloud Insurance 77

IBM Big Data Hub

JULY 12, 2023

Generative AI is changing the game Generative AI can be applied to an array of use cases, such as sorting and classifying written input, transforming domain-specific text into personalized summaries, identifying and extracting essential information from unstructured data, and generating code, marketing content and more.

Unstructured data 53

Unstructured data Government Compliance Marketing 53

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

LookingGlass Cyber Solutions is an open source-based threat intelligence platform that delivers unified threat protection against sophisticated cyberattacks to global enterprises and government agencies by operationalizing threat intelligence. It’s augmented by a worldwide team of security analysts who enrich the data feeds.

Analytics 125

Analytics Cybersecurity Risk Security 125

IBM Big Data Hub

AUGUST 17, 2023

Derived from a combination of structured and unstructured data (with large language models facilitated by watsonx ), AI Draw Analysis ranks every player’s draw on a favorability scale, shows a measure of advantage or disadvantage and lets fans explore these measures across all possible matchups as players progress through the tournament.

Digital transformation 51

Digital transformation Unstructured data Access Government 51

Thales Cloud Protection & Licensing

NOVEMBER 5, 2024

Reduce risk, complexity, and cost : Simplify compliance and minimize reputational and operational risk with centralized data security governance. Accelerate digital transformation : Increase customer satisfaction by adopting innovations, such as IoT, cloud, and Big Data, faster with a framework for a zero-trust world 4.

Retail 71

Retail Security Data breaches Compliance 71

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 59

Analytics Digital transformation Artificial Intelligence Access 59

IBM Big Data Hub

DECEMBER 4, 2023

As part of our generative AI initiatives, we can demonstrate the ability to use a foundation model with prompt tuning to review the structured and unstructured data within the insurance documents (data associated with the customer query) and provide tailored recommendations concerning the product, contract or general insurance inquiry.

Insurance 53

Insurance Digital transformation Compliance Cloud 53

IBM Big Data Hub

JANUARY 16, 2024

Companies are also striving to balance this innovation with growing environmental, social and governance (ESG) regulations. This varies based on workload characteristics; for instance, in the media or streaming industry, data transmission over the network and storing large unstructured data sets consume considerable energy.

Energy and Utilities 84

Energy and Utilities IT Cloud Unstructured data 84

Information Management Resources

FEBRUARY 22, 2018

Bruce Gifford is selected for the role after serving in the P&C carrier's actuarial department since 2009.

Analytics 29

Analytics Unstructured data Big data Government 29

Reltio

JANUARY 28, 2021

The best practices many businesses centered their ERPs and customer data systems on now severely limit their agility and ability to use emerging data sources for competitive advantage. First-generation MDMs: Focus heavily on master data governance to ensure data quality. 3 Using unstructured data .

MDM 98

MDM IoT Customer Experience Retail 98

Collibra

DECEMBER 8, 2022

With the rise of the Internet at the turn of the 21st century, companies like Yahoo, Amazon, and Google started to analyze customer behavior via clickthrough rates, IP-specific location data, and search logs. HTTP-based web traffic drove a massive increase in structured and unstructured data. Today’s challenge: Trusted data.

Metadata 98

Metadata Unstructured data Government Cloud 98

AIIM

MARCH 13, 2018

Lastly, enter big data technologies to help link all of this together. Ancestry currently manages about 10 petabytes of structured and unstructured data, including billions of records detailing births, marriages, deaths, military service, and immigration. Not to mention the addition of DNA information to all of this.).

Digital preservation 143

Digital preservation Archiving Records Management Paper 143

Reltio

SEPTEMBER 16, 2019

It addresses key trends and requirements such as cloud and multi-cloud enterprise strategies, platform as a service, scalability, flexibility, high-performance expectations, ability to effectively manage large volumes of structured, semi-structured and unstructured data and automated data management and governance via AI and ML.

Analytics 58

Analytics Unstructured data Cloud IoT 58

Everteam

APRIL 16, 2019

One of the most important elements of an information governance program is the proper classification of your data. A central, formal classification scheme is critical, especially when much of the information – structured and unstructured – is used in multiple departments or teams across the organization.

ROT 40

ROT Information governance Metadata Government 40

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