IBM Big Data Hub

DECEMBER 19, 2023

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements.

Unstructured data 72

Unstructured data Artificial Intelligence Sales Manufacturing 72

IBM Big Data Hub

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. Imagine a self-driving car piloted by an AGI. How can organizations prepare for AGI?

Artificial Intelligence 90

Artificial Intelligence Marketing e-Delivery Manufacturing 90

Reltio

MARCH 11, 2019

The third Modern Data Management annual summit ( #DataDriven19 ) held on February 26-27 2019 attracted more than 400 business and IT professionals getting together in San Francisco to witness the future of data management, share success stories and learn best practices. This year’s theme was “ Organize Master Data.

Digital transformation 40

Digital transformation Financial Services Data science Retail 40

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. It will also determine the talent the organization needs to develop, attract or retain with relevant skills in data science, machine learning (ML) and AI development.

Artificial Intelligence 79

Artificial Intelligence Customer Experience Cloud Government 79

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

IBM Big Data Hub

FEBRUARY 13, 2024

Each output is unique yet statistically tethered to the data the model learned from. Innovators who want a custom AI can pick a “foundation model” like OpenAI’s GPT-3 or BERT and feed it their data. Teamwork: Assemble a team with expertise in AI, data science and your industry.

Artificial Intelligence 125

Artificial Intelligence Marketing Sales Communications 125

ARMA International

SEPTEMBER 13, 2021

This includes defining the product scope of the DT journey and the digital products and services that will deliver transformative change for a new future. Part 3 will discuss how to manage the various DT risks. One essential step is developing the DT business case and connecting it with the critical success factors (CSFs) and the product scope.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

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 Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Data science 79

Data science Manufacturing Artificial Intelligence Retail 79

Reltio

JULY 31, 2019

Now businesses are acquiring as much data as they can, trying to exploit it to drive innovation and new customer experiences. Today, a business might need to store transactional data cost-effectively, and that’s no problem, but tomorrow you might need to store huge volumes of sensor data.

Analytics 49

Analytics Blockchain Cloud Artificial Intelligence 49

Reltio

JULY 2, 2019

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.

Analytics 58

Analytics Insurance Artificial Intelligence Data science 58

Collibra

NOVEMBER 18, 2021

Collecting data at military hospitals, she realized that infectious disease and poor sanitation were killing more soldiers than war injuries. Just as important, she devised a way to display the data visually, so it was easy-to-understand at a glance. The power of analyzing data fueled data collection.

IT 52

IT Data collection Analytics Military 52

Security Affairs

JUNE 18, 2023

Based on several days of initial investigation by security, engineering, and data science (and friends!), we have no evidence to suggest that any of your non-public data has been accessed, or that Reddit’s information has been published or distributed online.” “We expect to leak the data. continues the notice.

Ransomware 89

Ransomware Phishing Data science Manufacturing 89

IBM Big Data Hub

SEPTEMBER 20, 2023

This makes it cost-prohibitive to scale across use cases since it would require armies of SMEs and data experts. By ingesting vast amounts of unlabeled data and using self-supervised techniques for model training, FMs have removed these bottlenecks and opened the avenue for widescale adoption of AI across the enterprise.

Cloud 90

Cloud Data science Artificial Intelligence Analytics 90

IBM Big Data Hub

AUGUST 1, 2023

Together with data stores, foundation models make it possible to create and customize generative AI tools for organizations across industries that are looking to optimize customer care, marketing, HR (including talent acquisition) , and IT functions. That’s where the foundation model enters the picture.

Artificial Intelligence 60

Artificial Intelligence Marketing Unstructured data Manufacturing 60

Bill Schmarzo - Dell EMC

MARCH 5, 2018

By staying focused on the business or operational objectives and tasks, businesses can successfully transform how they use data and analytics to produce optimal outcomes. Bounty of potential data sources to be mined for actionable insights in support of the business initiative. Figure 8: Data Lake Components.

Artificial Intelligence 111

Artificial Intelligence Analytics Big data Mining 111

eSecurity Planet

OCTOBER 12, 2022

Unification has been a trend in IT for a long time, whether it’s communications, storage, data management or other technologies, and the trend hasn’t escaped cybersecurity either, as products converge into more comprehensive platforms like XDR or SASE. What is Unified Endpoint Management? UEM Trends. UEM is a hot area of IT.

Analytics 108

Analytics IoT Access Marketing 108

Bill Schmarzo - Dell EMC

MARCH 5, 2018

By staying focused on the business or operational objectives and tasks, businesses can successfully transform how they use data and analytics to produce optimal outcomes. Bounty of potential data sources to be mined for actionable insights in support of the business initiative. Figure 8: Data Lake Components.

Artificial Intelligence 40

Artificial Intelligence Analytics Mining Big data 40

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.” Who steals personal data and how do they make money from it? ” [link]. ” [link].

IoT 40

IoT Blockchain Personal data Analytics 40

Reltio

JULY 6, 2018

A leading PC & printer manufacturer & re-seller created a single global view of accounts. Reltio has helped increase their data load performance by 577X and is expected to save them more than $12M over 5 years through improved IT and data management operations. Reduced IT & Operational Cost. Increased Productivity.

MDM 60

MDM Insurance Retail Cloud 60

Reltio

AUGUST 17, 2018

Discovery Phase: Value Creation via Data. Platform’s multi-domain data organization capability helps perform deeper analysis to better understand the needs of patients, providers, payers, and relationships among these players. Loss of Exclusivity Phase: Value Extraction via Data. Value Creation (discovery).

MDM 70

MDM Sales Customer Experience Marketing 70

Reltio

APRIL 16, 2019

Companies must manage different types of data, from different sources and need different insights from various data sets. Increasingly complex requirements of businesses may need a multi-cloud solution that makes it simpler to aggregate, organize, analyze, and share data across the enterprise. First is optimal performance.

Cloud 75

Cloud MDM Analytics Financial Services 75

Reltio

MARCH 31, 2019

The third Modern Data Management annual summit (#DataDriven19) had great minds sharing their MDM success stories and assessing where MDM is headed. Modern enterprises put data at the heart of every decision to stay competitive. Understanding data to make it work is perhaps the biggest challenge enterprises face today.

MDM 40

MDM Digital transformation Analytics Cloud 40