IBM Big Data Hub

MAY 8, 2023

For example, feeding a generative AI system such as Chat GPT with corporate data to produce a summary of confidential corporate research would mean that a data footprint would be indelibly left on the external cloud server of the AI and accessible to queries from competitors. Efficient and accurate AI requires fastidious data science.

Insurance 74

Insurance Risk Artificial Intelligence Government 74

IBM Big Data Hub

DECEMBER 20, 2023

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. And since technology evolves so rapidly, the strategy should allow the organization to adapt to new technologies and shifts in the industry.

Artificial Intelligence 79

Artificial Intelligence Customer Experience Cloud Government 79

IBM Big Data Hub

OCTOBER 16, 2023

For example, training data for a facial recognition algorithm that over-represents white people may create errors when attempting facial recognition for people of color. Similarly, security data that includes information gathered in geographic areas that are predominantly black could create racial bias in AI tools used by police.

Artificial Intelligence 76

Artificial Intelligence Government Data science Data collection 76

eSecurity Planet

MAY 27, 2021

A report this month from the Government Accountability Office (GAO) found that the number of companies seeking cyber insurance coverage has steadily risen since 2016 and that insurers are increasing the prices of their policies and lowering their coverage limits as the number of cyberattacks rise. How secure is their architecture?

Insurance 128

Insurance Ransomware Risk Data science 128

Collibra

NOVEMBER 23, 2022

It rates an organization’s maturity based on four core pillars: Data Literate Culture, Data Analytics, Data Management, and Data Valuation. The model leverages anonymized data from a subset of Collibra customers as inputs to calculate a maturity level for each industry. on a scale of 1 to 10.

Analytics 94

Analytics Data science Government Marketing 94

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. How Business Benefits from Data Intelligence. Traditional business models and processes can be detrimental to today’s evolving data-driven society.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

IBM Big Data Hub

AUGUST 7, 2023

Despite advancements in the pharmaceutical industry and biomedical research, delivering drugs to market is still a complex process with tremendous opportunity for improvement. Efficient clinical trial site selection continues to be a prominent industry-wide challenge.

Healthcare 60

Healthcare Artificial Intelligence Data science Compliance 60

Schneier on Security

NOVEMBER 14, 2019

Or, more specifically, where and how should government step in and regulate what is largely a market-driven industry? They come from the social sciences and from computer science. They work in data science, or tech policy, or public-focused computer science. Another parallel is public-interest law.

Artificial Intelligence 86

Artificial Intelligence Data science Government Marketing 86

ARMA International

SEPTEMBER 13, 2021

Peter Drucker (1999) compared the Industrial and Information Revolutions and their impacts on societies, industries, and jobs. So, the concept of DT is not new and was predicted as the foundation for the Fourth Industrial Revolution. [1] Figure 1: Illustration of Bush’s Memex. Information and Content Explosion.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

eSecurity Planet

DECEMBER 19, 2023

After receiving input from industry experts and doing my own analysis of the year’s driving forces, I identified five major cybersecurity trends. Government actions will increase: Expect more government regulations, state-sponsored cyberattacks, and increased documentation required to protect CISOs.

Cybersecurity 139

Cybersecurity Cloud Ransomware Risk 139

IBM Big Data Hub

OCTOBER 20, 2023

.” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 AI technology is quickly proving to be a critical component of business intelligence within organizations across industries.

Data science 79

Data science Manufacturing Artificial Intelligence Retail 79

eDiscovery Daily

FEBRUARY 4, 2020

There are several interesting sessions today related to eDiscovery, Information Governance, Cybersecurity and Data Privacy. Leveraging Technology for Information Governance and Data Privacy. Key takeaways: Cutting-edge LegalTech tools that can classify data, build data maps, and lower data storage costs.

e-Discovery 59

e-Discovery Data Privacy Blockchain Privacy 59

The Last Watchdog

JANUARY 7, 2019

When CyberTown, USA is fully built out, it’s backers envision it emerging as the world’s premier technology hub for cybersecurity and data science. It’s mission has been to seek out and assist government cyber specialists in a position to enter the private sector and build commercial cyber and data science companies.

Cybersecurity 178

Cybersecurity Data science Retail Government 178

Reltio

DECEMBER 10, 2021

“The Reltio MDM solution is part of the Connected Data Platform, which supports all data types in real time for operational, analytical, and data science use cases.”. Reltio scored well in matching, context, governance, business templates, deployment, security, and scalability.

MDM 98

MDM Analytics Digital transformation Cloud 98

eDiscovery Daily

JANUARY 27, 2020

I’ve opened them all up and captured them, so you don’t have to. : o ) Next week during the show, I’ll cover the main conference sessions each day that relate to eDiscovery, Information Governance, Cybersecurity and Data Privacy to give you a complete sense of options. Understand the potential ethical issues around technology.

e-Discovery 50

e-Discovery Data Privacy Blockchain Education 50

ForAllSecure

APRIL 7, 2021

Welcome to the hacker mind and original podcast from for all secure, it's about challenging our expectations about the people who hack for a living. I've got a lot of industry certifications, but having all those paper degrees proved to be a poor equivalent to having actual hands on experience in information security.

Cybersecurity 40

Cybersecurity Information Security IT Security 40

ForAllSecure

APRIL 7, 2021

Welcome to the hacker mind and original podcast from for all secure, it's about challenging our expectations about the people who hack for a living. I've got a lot of industry certifications, but having all those paper degrees proved to be a poor equivalent to having actual hands on experience in information security.

Cybersecurity 40

Cybersecurity Information Security IT Security 40

IBM Big Data Hub

FEBRUARY 22, 2024

Artificial intelligence (AI) is transforming society, including the very character of national security. The DoD can lay a sturdy foundation to accomplish this by improving AI literacy and partnering with trusted organizations to develop governance aligned to its strategic goals and values.

Artificial Intelligence 102

Artificial Intelligence Metadata Military Government 102

IBM Big Data Hub

SEPTEMBER 20, 2023

These include data ingestion, data selection, data pre-processing, FM pre-training, model tuning to one or more downstream tasks, inference serving, and data and AI model governance and lifecycle management—all of which can be described as FMOps.

Cloud 90

Cloud Data science Artificial Intelligence Analytics 90

Thales Cloud Protection & Licensing

DECEMBER 8, 2020

A research report issued by International Association of Privacy Professionals titled “Privacy in the wake of COVID-19” shows that 60 percent of those who adopted new technologies for working from home either skipped or expedited security/privacy reviews, creating a completely new set of risks for companies. New regulation, new challenges.

Privacy 62

Privacy Digital transformation Data Privacy Risk 62

IBM Big Data Hub

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. “IBM’s launch of watsonx was an awakening, and it has inspired us to deliver unprecedented innovations for our clients.”

Analytics 67

Analytics Data science Cloud Metadata 67

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Metadata 68

Metadata MDM Analytics Compliance 68

IBM Big Data Hub

NOVEMBER 13, 2023

But Docker lacked an automated “orchestration” tool, which made it time-consuming and complex for data science teams to scale applications. HPC uses powerful processors at extremely high speeds to make instantaneous data-driven decisions.

Cloud 117

Cloud e-Delivery Big data e-Discovery 117

Collibra

OCTOBER 13, 2022

The Data Management Capability Assessment Model (DCAM ) is a structured resource that defines and describes the capabilities needed to establish and sustain a successful data management (DM) initiative in any organization. It works as an assessment tool and serves as an industry benchmark for conducting a DCAM assessment.

Analytics 52

Analytics Cloud Metadata Government 52

IBM Big Data Hub

MAY 9, 2023

Our Watson suite is deployed to more than 100 million users across 20 industries, while the dedicated teams in IBM Research continue to push at the frontiers of the technology. The early use cases that we have identified range from digital labor, IT automation, application modernization, and security to sustainability.

Artificial Intelligence 109

Artificial Intelligence Cloud Metadata Access 109

IBM Big Data Hub

SEPTEMBER 11, 2023

Built on decades of innovation in data security, scalability and availability, IBM Db2 keeps business applications and analytics protected, highly performant, and resilient, anywhere. Thankfully, the IBM Z platform is designed to be one the most securable platforms.

Analytics 91

Analytics Cloud IoT Paper 91

Information Matters

DECEMBER 7, 2018

Retailers are most at risk globally, with 62% of respondents willing to walk away after a data breach, followed by banks (59%) and social media sites (58%), according to a survey of 10,500 consumers by digital security firm Gemalto.” “Google, Apple and Uber have independently spent millions gathering geospatial data.

IoT 40

IoT Blockchain Personal data Analytics 40

Collibra

MAY 23, 2022

This is, hands down, the most frequently cited barrier to data democratization—especially among organizations lagging behind the industry leaders. As with any organization-wide change, there will be hurdles to overcome as you train your team on new data-related tools and processes. Security risks. Secure buy-in.

Education 84

Education Data science Access Libraries 84

IBM Big Data Hub

JULY 5, 2023

Their fast adoption meant that customers soon lost track of what ended up in the data lake. And, just as challenging, they could not tell where the data came from, how it had been ingested nor how it had been transformed in the process. Data governance remains an unexplored frontier for this technology.

Analytics 67

Analytics Metadata Data migration Data science 67

IBM Big Data Hub

SEPTEMBER 25, 2023

They set up a couple of clusters and began processing queries at a much faster speed than anything they had experienced with Apache Hive, a distributed data warehouse system, on their data lake. As Uber has done with many of its additions to Presto, they contributed their security upgrades back to the open source Presto project.

Analytics 93

Analytics Access Data science IT 93