IBM Big Data Hub

JULY 26, 2023

Anomaly detection: Some manufacturers have zero-defect goals. Image and video recognition systems can use AI to monitor each stage of manufacture , catching any discrepancies as early as possible. Foundation models using geospatial data are also likely to make their mark in the coming year or so.

Energy and Utilities 80

Energy and Utilities Agriculture Manufacturing Risk 80

IBM Big Data Hub

APRIL 20, 2023

A Process Mining exercise drawing data from enterprise SAP has helped measure KPI performance and define the transformation roadmap.

Mining 72

Mining Financial Services Digital transformation Retail 72

IBM Big Data Hub

SEPTEMBER 5, 2023

The Intellyx take IBM’s unique position as the sole remaining mainframe manufacturer gives it a market-leading role within the broader mainframe community. In fact, developers can use the Ansible Visual Studio Code Extension to develop Ansible playbooks using IBM Z collections. IBM is a current Intellyx customer.

Cloud 128

Cloud Digital transformation Financial Services Manufacturing 128

Rocket Software

JULY 17, 2019

Many global banking and financial services organizations as well as major airlines and manufacturing facilities around the world are expanding their mainframes’ capabilities using open source solutions, enabling them to reduce costs and improve efficiency while maintaining high performance.

Financial Services 40

Financial Services Big data Retail Manufacturing 40

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. Manufacturing Advanced AI with analytics can help manufacturers create predictive insights on market trends.

Artificial Intelligence 89

Artificial Intelligence Retail Unstructured data Insurance 89

IBM Big Data Hub

APRIL 18, 2024

Manufacturing and supply chain management AGI might revolutionize manufacturing by optimizing every step of the process. Financial services AGI might revolutionize financial analysis by going beyond traditional methods. This allows for a smooth and efficient operation, avoiding costly downtime.

Artificial Intelligence 89

Artificial Intelligence Marketing e-Delivery Manufacturing 89

eSecurity Planet

AUGUST 22, 2023

A CRM at a large financial services company might have an RTO of 15 minutes, while a storage archive for cold data may have an RTO of 12-24 hours. A few key defenses and preparation could save your organization from big data breach disasters. This varies between organizations.

Data breaches 75

Data breaches Big data Cybersecurity Security 75

IBM Big Data Hub

JANUARY 15, 2024

For instance, manufacturers can use IoT in their factories to know when their machines need repairing, known as preventive maintenance. Edge computing makes IoT more efficient and powerful by bringing enterprise applications closer to data sources such as IoT devices or local edge servers.

Digital transformation 78

Digital transformation Customer Experience Artificial Intelligence IoT 78

John Battelle's Searchblog

OCTOBER 11, 2014

I was asked to focus my remarks on how new kinds of companies were threatening traditional incumbents – with a focus on the financial services industry, as you might imagine. Casper takes an information first approach to the design, manufacturing, sales and delivery of mattresses.

Financial Services 108

Financial Services Marketing Manufacturing Big data 108

Reltio

MAY 14, 2019

What trends or changes do you predict to the data management arena in the next few years? The big data era is maturing and the technologies that first appeared with big data will be enveloped into the cloud technologies.

Big data 45

Big data Government Cloud IT 45

IBM Big Data Hub

JULY 11, 2023

Telcos can also play the role of data providers as well as data marketplace and brokerage operators within the ecosystem. Vertical data platforms owned and operated by telcos and targeting a specific industry such as automotive, agriculture or financial services already exist today.

IoT 55

IoT Artificial Intelligence Agriculture Blockchain 55

Info Source

JUNE 7, 2018

The SER Group is a driver of future trends such as the interaction between ECM, cloud computing, big data and artificial intelligence (AI). Coinciding with the growth in licensing business, service business has also jumped by over 11%. “As a premium vendor, we constantly focus on innovation and quality.

ECM 40

ECM Marketing Content services Artificial Intelligence 40

Data Matters

AUGUST 24, 2018

NAIC Continues its Evaluation of Insurers’ Use of Big Data . The NAIC is also considering insurers’ use of big data in underwriting life insurance products. The Big Data (EX) Working Group heard a presentation from LIMRA regarding how insurers are utilizing consumer data in underwriting life insurance products.

Insurance 60

Insurance Big data e-Delivery Risk 60

Reltio

APRIL 23, 2019

It’s the people who have no idea what master data is and no time to learn it – but who have all the money – who really need to understand the value of it and what it can do for the enterprise.” . How would you define “modern” data management and what does it /should it mean for organisations that adopt it?

MDM 40

MDM Marketing Big data Cloud 40

Thales Cloud Protection & Licensing

JULY 24, 2023

Data-in-motion encryption is vital to all businesses but let’s explore some verticals in the private sector, each with its own requirements and needs for protecting data in motion. Financial Services Financial organizations operate in a highly regulated environment and undergo frequent audits to prove compliance.

Business Services 62

Business Services Encryption Manufacturing Security 62

IBM Big Data Hub

JULY 27, 2023

The solution also includes security and controls built into the platform and is designed to allow clients across industries to consume HPC as a fully managed service while helping them address third- and fourth-party risks. In the era of data and generative AI , HPC is key to processing data and generating insights quickly.

Computer and Electronics 72

Computer and Electronics Financial Services Cloud Artificial Intelligence 72

eSecurity Planet

JANUARY 21, 2021

LogicManager’s GRC solution has specific use cases across financial services, education, government, healthcare, retail, and technology industries, among others. Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files. See our in-depth look at RSA Archer.

Compliance 67

Compliance Risk Government Retail 67

eSecurity Planet

JANUARY 21, 2021

LogicManager’s GRC solution has specific use cases across financial services, education, government, healthcare, retail, and technology industries, among others. Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files. See our in-depth look at RSA Archer.

Compliance 57

Compliance Risk Government Retail 57

IBM Big Data Hub

MAY 26, 2023

Consider large financial services organization going through core banking modernization. in Manufacturing, and customer relationship management and customer service automation in Financial Services.

Cloud 80

Cloud Energy and Utilities Financial Services Digital transformation 80

IBM Big Data Hub

NOVEMBER 10, 2023

Semiconductors act as the secret powerhouse behind various industries, from healthcare to manufacturing to financial services. As semiconductor manufacturers strive to keep up with customer expectations, electronic design automation (EDA) tools are the keys to unlocking the solution.

Computer and Electronics 89

Computer and Electronics Cloud Artificial Intelligence Manufacturing 89

Bill Schmarzo - Dell EMC

MARCH 5, 2018

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? Figure 3: PNC Financial Services Group 2015 Annual Report. Figure 8: Data Lake Components. It’s simple.

Artificial Intelligence 111

Artificial Intelligence Analytics Big data Mining 111

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 Store operating platform : Scalable and secure foundation supports AI at the edge and data integration. trillion in value.

Data science 79

Data science Manufacturing Artificial Intelligence Retail 79

Bill Schmarzo - Dell EMC

MARCH 5, 2018

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? Figure 3: PNC Financial Services Group 2015 Annual Report. Figure 8: Data Lake Components. It’s simple.

Artificial Intelligence 40

Artificial Intelligence Analytics Mining Big data 40

CGI

SEPTEMBER 6, 2016

We are currently seeing trends, like payments innovation, consumer technology and big data, change the future for customers – and those same trends can re-make fuel cards. The prize: the multi-billion euro fleet market.

Retail 40

Retail Big data Financial Services Manufacturing 40

Reltio

MAY 30, 2019

“We all know the “garbage in, garbage out” saying but unless you are working in data management then it is probably hard to gauge just how important it is to get the data right and the impact it can have on the results of your analytics.”. I learned this very early on and it is even more important in today’s world of big data.

Analytics 58

Analytics Digital transformation Blockchain Big data 58

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

AUGUST 15, 2023

It ensures the data and AI models are not only accurate, providing a higher-quality outcome, but that the data is being used in a safe and ethical way. Recent AI developments are also helping businesses automate and optimize HR recruiting and professional development, DevOps and cloud management, and biotech research and manufacturing.

Artificial Intelligence 82

Artificial Intelligence IT Customer Experience Government 82

Reltio

JULY 23, 2019

In the past organisations often mobilized for large MDM programmes and had to retrospectively drive the governance throughout – now we are seeing that data governance is often leading – it has become a non-negotiable.”. If you’ve got people who already have an understanding of data and relevant skills, then you’ll accelerate your success.

MDM 40

MDM Cloud Analytics Marketing 40