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 71

Data science Manufacturing Artificial Intelligence Government 71

Collibra

AUGUST 23, 2023

As the data intelligence company, we’ve long anticipated broad adoption of AI, and Collibrians with data science and machine learning expertise have been working diligently on ways to apply AI/ML. She said some of the first results were more relevant for a manufacturing hackathon than a software hackathon.

Communications 98

Communications Data science Marketing Artificial Intelligence 98

Reltio

JULY 6, 2018

A leading PC & printer manufacturer & re-seller created a single global view of accounts. Here are the seven reasons why enterprises should invest in a modern MDM Platform to drive ongoing business value. Reduced IT & Operational Cost.

MDM 60

MDM Insurance Retail Cloud 60

IBM Big Data Hub

SEPTEMBER 20, 2023

Another key vector is the increasing importance of computing at the enterprise edge, such as industrial locations, manufacturing floors, retail stores, telco edge sites, etc. More specifically, AI at the enterprise edge enables the processing of data where work is being performed for near real-time analysis.

Cloud 83

Cloud Data science Artificial Intelligence Analytics 83

eSecurity Planet

OCTOBER 12, 2022

“We are seeing endpoint management teams ask for DEX capabilities that are tightly integrated with UEM to provide customers with the means to deliver and measure rich telemetry, analyze using data science, and proactively remediate user experience issues across endpoints, apps, network, and access,” said Kunduri. Key Differentiators.

Analytics 110

Analytics IoT Access Marketing 110

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 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Unstructured data 64

Unstructured data Artificial Intelligence Sales Manufacturing 64

IBM Big Data Hub

AUGUST 1, 2023

Instead of spending time and effort on training a model from scratch, data scientists can use pretrained foundation models as starting points to create or customize generative AI models for a specific use case. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks.

Artificial Intelligence 55

Artificial Intelligence Marketing Unstructured data Manufacturing 55

IBM Big Data Hub

FEBRUARY 13, 2024

Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing. Teamwork: Assemble a team with expertise in AI, data science and your industry. Data: High-quality, relevant data is the fuel that powers generative AI success.

Artificial Intelligence 118

Artificial Intelligence Marketing Sales Communications 118

IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Artificial Intelligence 89

Artificial Intelligence Marketing e-Delivery Manufacturing 89

Information Management Resources

JUNE 24, 2019

Illumina, the global gene sequencing company, develops and manufactures tools and systems for large-scale DNA analysis. Norm Fjeldheim spoke about the role of IT—and of the CIO—in enabling business and product innovation.

Manufacturing 37

Manufacturing IT Data science 37

Collibra

NOVEMBER 18, 2021

That invention turned languishing data into useful data. Hollerith went on to found the company that became IBM, another giant in the world of data science. . The dilemma of how to best store and analyze data, however, continued. . How United by Data connects us. and epidemiologists in South Africa.

IT 52

IT Data collection Analytics Military 52

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 71

Artificial Intelligence Customer Experience Cloud Government 71

Reltio

AUGUST 17, 2018

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. Research indicates that 81% of future drug sales performance is determined by actions taken during clinical development and early commercialization phase.

MDM 70

MDM Customer Experience Sales Marketing 70

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 48

Marketing Data science e-Discovery Analytics 48

Bill Schmarzo - Dell EMC

MARCH 5, 2018

sales, finance, marketing, logistics, manufacturing) as well as external constituents like partners, suppliers, and don’t forget, the customers! Figure 7: Brainstorming Data that Might be Better Predictors of Performance. This includes internal stakeholders (e.g., Start embracing some simple Design Thinking techniques.

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.” 71% of UK businesses at risk due to data skills gap, CEOs say – TechRepublic, 26 November 2018.

IoT 40

IoT Blockchain Personal data Analytics 40

Reltio

APRIL 16, 2019

Also a multi-cloud strategy makes more sense for newer data-led enterprises that are permeating every industry sector. Anastasia Zamyshlyaeva , Reltio. Many enterprises are moving from dependence on a single public cloud provider to a multi-cloud architecture. The reasons for this shift are many.

Cloud 75

Cloud MDM Analytics Financial Services 75

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

Reltio

JULY 31, 2019

It all came out of applying business understanding to data and analytics, and they decided to go ahead with the top ten suggestions. That’s the piece that technical people forget – to join the dots between the analytics and its practical application in the business.

Analytics 49

Analytics Blockchain Cloud Artificial Intelligence 49

ARMA International

SEPTEMBER 13, 2021

DRM is used by publishers, manufacturers and IP owners for digital content and device monitoring” (Techopedia 2021). The expanded business areas and roles include data governance, data science, data policies and processes, information and records management, and compliance and privacy. “A

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

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