IBM Big Data Hub

APRIL 16, 2024

A coordinated partnership: How these tools work together By using IBM Db2, IBM watsonx Assistant and NeuralSeek, we offer a comprehensive solution that streamlines data management, enhances accessibility, and helps to ensure security and integrity across your enterprise.

Security 78

Security Unstructured data Retail Analytics 78

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. PT Aegis recommended to TDC the 100% dedicated IBM Cloud Bare Metal Servers for performance and security. billion in 2022 to USD 130.0 billion by 2027.

Cloud 74

Cloud Unstructured data Customer Experience Manufacturing 74

Thales Cloud Protection & Licensing

NOVEMBER 5, 2024

Holiday Shopping Readiness: How is Retail Data Security Holding Up? Retailers have been prepping for this season all year and are ready to provide a safe, secure, and seamless customer shopping experience. This includes requirements for secure processing, storage, and transmission of cardholder data.

Retail 71

Retail Security Data breaches Compliance 71

IBM Big Data Hub

SEPTEMBER 13, 2023

Digital transformation drives many IT investments, with a focus on adapting to new work models and customer expectations, increasing capacity to respond to higher demand, managing growth with fewer resources, enhancing eCommerce capabilities, and supporting security and compliance requirements.

Digital transformation 88

Digital transformation Unstructured data Cloud Artificial Intelligence 88

Thales Cloud Protection & Licensing

MAY 26, 2022

Last week, I had the opportunity to attend the Google Cloud Security Summit digital event and share how Thales and Google are working together to accelerate cloud migration safely and efficiently. There are many factors driving the need for customers to move their data to the cloud and explosive data growth is one those factors.

Cloud 71

Cloud IT Encryption Unstructured data 71

Thales Cloud Protection & Licensing

NOVEMBER 11, 2021

CipherTrust Intelligent Protection is an easy, unified approach to discovering, classifying, and protecting sensitive data. For those of you already experiencing the benefits of these connectors, this new, innovative feature enables you to create an integrated workflow to simplify and strengthen data security.

Encryption 71

Encryption Unstructured data Risk Cloud 71

eSecurity Planet

AUGUST 4, 2022

It’s been a couple of decades since data tapes delivered by trucks made encryption a standard enterprise cybersecurity practice. Yet even as technology has changed, sending and receiving data remains a major vulnerability, ensuring encryption’s place as a foundational security practice. Opaque Systems.

Encryption 133

Encryption Computer and Electronics Cloud Passwords 133

Thales Cloud Protection & Licensing

OCTOBER 25, 2018

Critical infrastructure, as defined by Department of Homeland Security : describes the physical and cyber systems and assets that are so vital to the United States that their incapacity or destruction would have a debilitating impact on our physical or economic security or public health or safety. The Vormetric Data Security Platform.

Cybersecurity 66

Cybersecurity Education Unstructured data Risk 66

eSecurity Planet

SEPTEMBER 13, 2021

Key features in a top threat intelligence platform include the consolidation of threat intelligence feeds from multiple sources, automated identification and containment of new attacks, security analytics, and integration with other security tools like SIEM , next-gen firewalls (NGFW) and EDR. Top Threat Intelligence Platforms.

Analytics 126

Analytics Cybersecurity Risk Security 126

CGI

OCTOBER 14, 2019

For more than 50 years, banks have relied on computers and software to manage and secure their data, as well as protect their customers’ interests. We are now on the cusp of a major revolution—something that will be as big for banks as the internet was for retail businesses. ravi.kumarv@cgi.com. Tue, 10/15/2019 - 01:47.

Artificial Intelligence 64

Artificial Intelligence Analytics Customer Experience Big data 64

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 Government Marketing 98

IBM Big Data Hub

DECEMBER 1, 2023

To align with key imperatives and transform their companies, insurers need to provide digital offerings to their customers, become more efficient, use data more intelligently, address cyber security concerns and have a resilient and stable offering.

Insurance 96

Insurance Digital transformation Customer Experience Cloud 96

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

Thales Cloud Protection & Licensing

DECEMBER 20, 2020

Recently the headlines have been dominated by infected enterprise software that has resulted in malware and hackers gaining access to mission critical infrastructures, taking control of systems, and stealing data. As security threats evolve and adapt, so too must an organization’s response to them.

Encryption 62

Encryption Access Ransomware Unstructured data 62

IBM Big Data Hub

JANUARY 5, 2023

How the right data architecture improves data quality. The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Metadata 52

Metadata Analytics Big data Unstructured data 52

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

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 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. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security.

Analytics 77

Analytics Retail Cloud Insurance 77

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 64

Unstructured data Artificial Intelligence Sales Manufacturing 64

IBM Big Data Hub

JANUARY 17, 2023

Technical Metadata storage/service: This component is required to understand what data is available in the storage layer. The query engine needs the metadata for the unstructured data and tables to understand where the data is located, what it looks like, and how to read it.

Metadata 52

Metadata Analytics Unstructured data Government 52

IBM Big Data Hub

JUNE 21, 2023

” Co-creation with IBM iX ® IBM iX , the experience design arm of IBM Consulting, works with the Club year-round to design, develop, maintain and secure the tournament’s website and mobile apps. .’ To use AI in a commercial setting, you need to have confidence that a model is scalable, reliable and trusted.”

Unstructured data 69

Unstructured data Digital transformation Analytics Government 69

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. . 1936 Social Security made possible by IBM: .

Unstructured data 52

Unstructured data Artificial Intelligence Paper Communications 52

IBM Big Data Hub

MAY 14, 2024

The IBM Institute for Business Value CEO study on decision-making in the age of AI found the top priorities for CEOs are technology modernization and productivity, while the three biggest challenges are technology modernization, sustainability and security.

Unstructured data 67

Unstructured data Government Cloud Analytics 67

Reltio

OCTOBER 28, 2020

Why is master data governance important? . But consider: Multiple studies cite poor data quality as the biggest stumbling block to any big data initiative in a business. Lack of master data governance sows inefficiency into your business, costs the bottom line, and restricts your agility. Garbage in, garbage out.

Government 52

Government MDM Big data Unstructured data 52

IBM Big Data Hub

MAY 17, 2023

Knowledge catalogues can help organize data effectively, and the data refinery provides out-of-box models for data cleansing. Watson® Discovery in CP4D can help ingest unstructured data (such as inspection reports, progress reports and OEM documentation) and prescribe appropriate SOPs to improve overall asset handling.

Energy and Utilities 76

Energy and Utilities Data collection Analytics Mining 76

IBM Big Data Hub

DECEMBER 16, 2022

Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information. She can search structured or unstructured data, visualizations and dashboards, machine learning models, and database connections. Protected and compliant data.

Metadata 52

Metadata Data Privacy Access Government 52

IBM Big Data Hub

SEPTEMBER 19, 2022

Millions of events can be ingested each second in parallel from data sources such as Kafka, cloud object storage or HDFS. This means you can stream in structured — as well as unstructured data — for real-time analytics. But wait, it gets better….

Analytics 52

Analytics IoT Unstructured data Manufacturing 52

Collibra

DECEMBER 1, 2020

Data lake management: Prevent a data swamp. A data lake is a storage repository that holds a vast amount of raw data in its native format, including structured, semi-structured and unstructured data. The data structure and requirements are not defined until the data is needed.

Government 59

Government Analytics Marketing Unstructured data 59

IBM Big Data Hub

AUGUST 1, 2023

Connecting foundation models with data stores for generative AI success Without secure access to trustworthy and domain-specific knowledge, foundation models would be far less reliable and beneficial for enterprise AI applications. They can also quickly and accurately translate marketing collateral into multiple languages.

Artificial Intelligence 55

Artificial Intelligence Marketing Unstructured data Manufacturing 55

IBM Big Data Hub

AUGUST 4, 2023

Employees and leaders need to trust the data is accurate, know how to access it, as well as how it could be applied to business problems. In turn, they both must also have the data literacy skills to be able to verify the data’s accuracy, ensure its security, and provide or follow guidance on when and how it should be used.

Analytics 59

Analytics Digital transformation Artificial Intelligence Access 59

IBM Big Data Hub

JANUARY 16, 2024

Businesses are increasingly embracing data-intensive workloads, including high-performance computing, artificial intelligence (AI) and machine learning (ML). These technologies drive innovation on their hybrid, multicloud journeys while focusing on resilience, performance, security and compliance.

Energy and Utilities 84

Energy and Utilities IT Cloud Unstructured data 84

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

Reltio

JANUARY 28, 2021

MDM’s Role: Incorporating all transactions and interactions, unstructured data from social media, help chats, video, and audio to create a single view of customer overhauls a company’s ability to understand their customers’ needs. . #2 Both require an MDM platform with Big Data architecture. #4 3 Using unstructured data

MDM 98

MDM IoT Customer Experience Retail 98

Thales Cloud Protection & Licensing

JUNE 9, 2021

Upon deeper examination, Krebs on Security reports that DarkSide is a Russian hacking group that offers a “ransomware-as-a-service” platform that helps vetted cybercriminals to carry out ransomware attacks with a variety of toolkits, and wraps in a “call service” to assist them in negotiations and payments from the victims. Cloud security.

Ransomware 93

Ransomware Encryption Authentication Cloud 93

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.

Metadata 98

Metadata Unstructured data Government Cloud 98

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

Retail 82

Retail Artificial Intelligence Unstructured data Insurance 82

Everteam

APRIL 16, 2019

Apply appropriate security controls to prevent accidental disclosure or cyberhacking. There are many examples of the benefits of classification, but I’ll provide two: The first is responding to data subject requests from privacy regulations like upcoming CCPA or GDPR. Separate the good information from the ROT. How / where to store it.

ROT 40

ROT Information governance Metadata Government 40