IBM Big Data Hub

FEBRUARY 22, 2024

While AI can undoubtedly offer a competitive edge to organizations that effectively leverage its capabilities, we have seen unique concerns from industry to industry and region to region that must be considered—particularly around data. In just a few years, we have helped some of the world’s leading banks transform.

Enterprise 80

Enterprise Risk Data Processing Business Driver 80

IBM Big Data Hub

APRIL 20, 2023

Trust is the cornerstone on which the banking industry is built. When consumers lose trust in a bank’s ability to manage risk, the system stops working. We’ve seen what follows—financial crises, bailouts, destruction of capital, and losses of jobs. But there’s trust on the business side, too.

Risk 73

Risk Risk Management Reporting Metadata 73

Smart Data Collective

JUNE 22, 2022

The financial sector is among the industries most affected by developments in big data. A study by Allied Market Research has found that the market for financial analytics services will be worth nearly $20 billion by 2030. Big Data Change the Future of Payment Processing for Small Businesses. That rose to 19% by 2018.

Big Data 103

Big Data Finance Risk Reporting 103

Cloudera

JUNE 22, 2022

The paper is a proposal to enable oversight of third parties providing critical services to the UK financial system. The proposal would grant authority to classify a third party as “critical” to the financial stability and welfare of the UK financial system, and then provide governance in order to minimize the potential systemic risk.

Insurance 82

Insurance Risk Marketing Data Processing 82

IBM Big Data Hub

NOVEMBER 7, 2023

Securing sensitive data in an evolving landscape Advancements like those in AI and quantum computing can pose new challenges to customers, especially those in highly regulated industries such as financial services, healthcare, telecommunications and more.

Risk 86

Risk Strategy Data Processing Technology 86

IBM Big Data Hub

APRIL 24, 2024

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

Risk 87

Risk Measurement Data Governance Insurance 87

Cloudera

OCTOBER 20, 2021

As governments gather to push forward climate and renewable energy initiatives aligned with the Paris Agreement and the UN Framework Convention on Climate Change, financial institutions and asset managers will monitor the event with keen interest. How do institutions protect and optimize their balance sheets and portfolios?

Risk 78

Risk Modeling Risk Management Measurement 78

Cloudera

MARCH 25, 2021

Data privacy is an increasingly complex and contentious topic. The appropriate use of data and transparency to the potential uses of the data are at the center of debate amongst the largest Big Tech companies. . It won’t matter if you can collect social media data or geo location data, images, etc.

Data Strategy 64

Data Strategy Strategy Enterprise Insurance 64

IBM Big Data Hub

SEPTEMBER 27, 2022

Whether it be financial services, employee hiring, customer service management or healthcare administration, AI is increasingly powering critical workflows across all industries. To scale use of AI in a responsible manner requires AI governance, the process of defining policies and establishing accountability throughout the AI lifecycle.

Consulting 52

Consulting Machine Learning Modeling Strategy 52

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . Department of Treasury that needs to quickly analyze petabytes of data across hundreds of servers.

Data Lake 107

Data Lake Machine Learning Big Data Data-driven 107

IBM Big Data Hub

DECEMBER 18, 2023

For organizations of all types—and especially those in highly regulated industries such as financial services, government, healthcare and telco—considerations including the rise of generative AI, evolving regulations and data sovereignty laws and ongoing security challenges must be top of mind.

Digital Transformation 70

Digital Transformation Risk Data Processing Enterprise 70

Cloudera

OCTOBER 28, 2020

Financial institutions are not given a pass, despite a competitive landscape flooded with regulation and privacy considerations. A Mckinsey study shows that customer-centric banks outperform peers, delivering 55% higher returns. How can financial institutions improve the customer experience?

Unstructured Data 70

Unstructured Data Data-driven Machine Learning Digital Transformation 70

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. End-to-end Data Lifecycle.

Risk 86

Risk Marketing Technology Management 86

Smart Data Collective

NOVEMBER 20, 2022

Enter Big Data. Although big data isn’t a new concept, it has become a sought-after technology in the last few years. . The following blog discusses what you need to know about big data. You’ll learn what big data is, how it can affect your marketing and sales strategy, and more. What Is Big Data?

Big Data 135

Big Data Sales Marketing B2B 135

datapine

MARCH 20, 2019

Financial analysis and reporting are one of the bedrocks of modern business. While you may already know that financial reporting is important (mainly because it’s a legal requirement in most countries), you may not understand its untapped power and potential. What is the importance of financial reporting?

Reporting 248

Reporting Finance Snapshot Dashboards 248

Alation

JANUARY 9, 2023

No matter where you reside, it seems as if significant data breaches happen almost weekly. A recent flurry of data breaches resulting in the disclosure of private data covering tens of millions of Australians has renewed the visibility of regulations that compel organisations to better protect consumer data.

Risk Management 52

Risk Management Risk Management Metadata 52

Cloudera

AUGUST 25, 2020

In part II of the series, we sat down for an interview with Dr. Richard Harmon, Managing Director of Financial Services at Cloudera, to find out more about how the industry is adopting new technology. To start us off, what do you foresee as the biggest opportunities and challenges for Financial Services firms in the next three years?

Prescriptive Analytics 70

Prescriptive Analytics Technology Machine Learning Risk 70

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time. trillion on retail businesses through 2029. trillion in that year.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

Cloudera

APRIL 25, 2019

Organizations in the financial services industry rely on data to make strategic decisions, drive their businesses, and maintain a competitive edge. The Bank of England was discovering that legacy tools were no longer sufficient to satisfy the growing demands of analysts and economists. Launching a Strategic Data Plan.

Management 59

Management Insurance Big Data Data Architecture 59

Cloudera

JANUARY 13, 2021

At Cloudera, an example of this leap is our first virtual Data Impact Awards , which was held in November last year. . One of our stand out moments of the awards was the introduction of the “Data Impact Achievement Award”. As an organisation, UOB has proven its fundamental understanding that the future is data-driven.

Digital Transformation 56

Digital Transformation Data-driven Data Lake Big Data 56

Domino Data Lab

AUGUST 6, 2021

An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. With a framework and Enterprise MLOps, organizations can manage data science at scale and realize the benefits of Model Risk Management that are received by a wide range of industry verticals.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

bridgei2i

APRIL 23, 2020

During the Spanish Flu pandemic, most US & UK banks were allowed to stay open as Essential Operations, albeit with changed work hours, maintaining over the counter operations and fumigating their coins. The Macroeconomic effect is being felt in every sector of the economy, and the Financial Services sector (FS) is no exception.

Risk 52

Risk Management Scorecard Forecasting 52

IBM Big Data Hub

DECEMBER 4, 2023

IBM® watsonx ™ AI and data platform, along with its suite of AI assistants, is designed to help scale and accelerate the impact of AI using trusted data throughout the business. With a strong focus on AI across its portfolio of products and services, IBM continues to be an industry leader in AI-related capabilities.

Insurance 56

Insurance Digital Transformation Risk Management Interactive 56

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Ontotext

APRIL 21, 2021

The regulatory body also imposed restrictions on the bank making new acquisitions. Inventory here refers to the vast amounts of information and data that financial institutions need on a daily basis, which are core assets to the business. The lost cash and fines were only part of the problem.

Metadata 59

Metadata Finance Cost-Benefit Data Quality 59

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.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Alation

NOVEMBER 4, 2022

In business, data-based goals tend to be very tangible. Perhaps you want to boost your ROI or CAGR, or reduce the time your analysts spend accessing and leveraging data. In this blog we’ll describe digital transformation: how it can be achieved as well as how it can benefit your business. What data is being used?

Digital Transformation 52

Digital Transformation Cost-Benefit Insurance Machine Learning 52

Cloudera

SEPTEMBER 22, 2021

Or the CEOs themselves saw how they could make the most of their data and how they could digitally update their business model. Dell has recently partnered with Institute for the Future to study emerging technologies and discover what impact this will have on the company going forward. Big banks are seeing a lot of competition.

Enterprise 65

Enterprise Management Interactive Digital Transformation 65

DataRobot Blog

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. Not only does this include reviewing the assumptions in selecting the input features and data, it also requires analyzing the model’s behavior over a variety of input values.

Risk 52

Risk Modeling Metrics Business Objectives 52

Cloudera

FEBRUARY 15, 2024

It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. While this might be a blast from the past we’d rather leave in the proverbial rear-view mirror, in March of 2023 we were back to the future with the collapse of Silicon Valley Bank (SVB), the largest US bank to fail since 2008.

Insurance 84

Insurance Data Architecture Risk Management Risk 84

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Grow Your Business: Commonwealth Bank of Australia.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

IBM Big Data Hub

FEBRUARY 5, 2024

Across the globe, financial institutions are rapidly modernizing to deliver secure, seamless payment experiences that meet the demands of digital-first consumers. Financial institutions face the challenge of enabling digital payments while simultaneously managing existing payment capabilities like checks.

Risk 95

Risk Management Reporting Optimization 95

Cloudera

NOVEMBER 14, 2023

Of the many things one might take for granted, access to banking and financial services may not immediately come to mind. billion adults worldwide who do not have access to formal financial services, it is very real and presents massive challenges to driving economic development and poverty reduction.

Cost-Benefit 73

Cost-Benefit Unstructured Data Data-driven Risk 73

Cloudera

JUNE 29, 2023

The recent failures of regional banks in the US, such as Silicon Valley Bank (SVB), Silvergate, Signature, and First Republic, were caused by multiple factors. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 82

Data Architecture Risk Management Risk Management 82

Cloudera

APRIL 18, 2024

In the financial sector, regulations are essential for financial institutions to maintain stability by preventing excessive risk-taking, ensuring adequate capitalization and reducing the likelihood of failures or financial crises. What is DORA?

Risk Management 75

Risk Management Risk Testing Management 75

IBM Big Data Hub

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. The answer is data lineage. Data lineage helps during these investigations.

Cost-Benefit 100

Cost-Benefit Metadata Data Governance Reporting 100

IBM Big Data Hub

APRIL 11, 2024

A cloud-based infrastructure that uses IBM Cloud® for Financial Services can be the answer to ensure the security, privacy and flexibility needed to keep up with these changes in the industry. Privacy and data security are the primary concerns regarding AI in instant payments transactions.

Risk 64

Risk Risk Management Optimization Technology 64