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

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 132

Encryption Computer and Electronics Cloud Passwords 132

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. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Artificial Intelligence 82

Artificial Intelligence Retail Unstructured data Insurance 82

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 68

Unstructured data Government Cloud Analytics 68

IBM Big Data Hub

DECEMBER 16, 2022

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. 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.

Metadata 52

Metadata Data Privacy Access Libraries 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

Reltio

OCTOBER 9, 2022

Improve Your Company’s Big Data Management for Increased ROI. quintillion bytes of data is created on the internet every day. Even the data that matters to your business is usually unstructured and disorganized, with lots of duplicates and inaccuracies. What is Big Data? The Five Vs of Big Data.

Big data 52

Big data MDM Unstructured data Analytics 52

IBM Big Data Hub

SEPTEMBER 19, 2022

Join SingleStore and IBM on September 21, 2022 for our webinar “ Accelerating Real-Time IoT Analytics with IBM Cognos and SingleStore ”. Why real-time analytics matters for IoT systems. IoT systems access millions of devices that generate large amounts of streaming data. Considering solutions for real-time analytics on IoT data.

Analytics 52

Analytics IoT Unstructured data Manufacturing 52

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. Much of the data we manage today is semi-structured, so why have separate solutions to manage each one?

Unstructured data 84

Unstructured data Metadata Information governance Data structuring 84

ARMA International

SEPTEMBER 22, 2021

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. For example, once a health record has met the regulatory requirements, the record can be anonymized and kept for years for such purposes as medical research and predictive analytics.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

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 Artificial Intelligence Cloud 88

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

IBM Big Data Hub

JANUARY 17, 2023

However, most of their raw data remains unused and trapped in data silos, making extracting insights difficult. The rise of cloud object storage has driven the cost of storage down and new technologies have evolved to access and query the data stored in there more efficiently. Beyond the basics with data lakehouse governance.

Metadata 52

Metadata Analytics Unstructured data Government 52

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 125

Analytics Cybersecurity Risk Cloud 125

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 56

Artificial Intelligence Marketing Unstructured data Manufacturing 56

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

It promises end-to-end solutions to manage and monitor a fleet of drones, runs inspection missions to capture high-quality data, accesses inspection reports and derives actionable information through AI-driven analytics—all through a single platform.

Energy and Utilities 77

Energy and Utilities Data collection Analytics Mining 77

IBM Big Data Hub

JUNE 21, 2023

The solution uses gesture recognition (such as fist pumps and players’ reactions), crowd noise and game analytics (such as break points) to identify highlight-worthy videos in both golf and tennis. ’ To use AI in a commercial setting, you need to have confidence that a model is scalable, reliable and trusted.”

Unstructured data 70

Unstructured data Digital transformation Analytics Government 70

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

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 Artificial Intelligence Digital transformation Access 59

Brandeis Records Manager

SEPTEMBER 19, 2016

Like most people, I prefer to have a reasonable sense of job security, as long as my interest is engaged. We can also partner with technology in the near term to mitigate the chaos-for example, using R programming tools to mine text, categorize, cluster, and de-duplicate unstructured data collections.

Blockchain 62

Blockchain Records Management Unstructured data Artificial Intelligence 62