IBM Big Data Hub

MARCH 20, 2024

For highly regulated industries, these challenges take on an entirely new level of expectation as they navigate evolving regulatory landscape and manage requirements for privacy, resiliency, cybersecurity, data sovereignty and more. At IBM, we are committed to helping clients on this journey.

Cloud 80

Cloud Financial Services Risk Business Services 80

IBM Big Data Hub

SEPTEMBER 18, 2023

At the same time, we are increasingly seeing regulators more closely monitor the industry’s relationship with non-traditional players (such as fintechs and neobanks), aimed at mitigating the introduction of potential risks into the financial services ecosystem.

Customer Experience 77

Customer Experience Financial Services Cloud Compliance 77

IBM Big Data Hub

AUGUST 10, 2023

With customers top of mind, we are seeing fintechs increasingly harness the power of choice and flexibility that comes with hybrid multicloud and lean into the power of data analytics to deliver enhanced experiences. We are also working with more than 130 technology partners and fintechs to validate their security and compliance posture.

Cloud 69

Cloud Financial Services Artificial Intelligence Digital transformation 69

IBM Big Data Hub

OCTOBER 10, 2023

These attacks are even more detrimental in critical systems, which include IT infrastructure and financial services organizations. IBM Cloud for Financial Services This is where IBM Cloud for Financial Services shines—it helps clients to fill that gap by supporting innovation while guaranteeing security and compliance.

Cloud 81

Cloud Financial Services Compliance Risk 81

IBM Big Data Hub

APRIL 22, 2024

It follows security standards and guidelines, such as IBM Cloud for Financial Services® , SOC Type 2, that ensures the highest levels of security and compliance requirements. IBM Cloud provides you with well-architected patterns that are secure by default for regulated industries like financial services.

Cloud 68

Cloud Financial Services Compliance Systems administration 68

IBM Big Data Hub

APRIL 5, 2024

In today’s rapidly changing landscape, delivering higher-quality products to the market faster is essential for success. However, in today’s market, consumers demand rapid releases of new models. This enables financial services organizations to run simulations repeatedly and swiftly.

Artificial Intelligence 70

Artificial Intelligence Computer and Electronics Financial Services Manufacturing 70

IBM Big Data Hub

SEPTEMBER 13, 2023

The global digital payments ecosystem continues to evolve as new and incumbent financial institutions, payment networks, central banks, governmental agencies, businesses and other market players push for innovation. The solution is built on IBM Cloud for Financial Services, leveraging its built-in security and compliance framework.

Cloud 80

Cloud Financial Services Compliance Marketing 80

IBM Big Data Hub

AUGUST 17, 2023

This technology has numerous potential applications in the financial services industry, supply chain management, voting systems and more. Also, CBDC can improve financial inclusion. billion people do not have access to basic financial services. According to the World Bank, around 1.7

Blockchain 75

Blockchain Financial Services Risk Authentication 75

IBM Big Data Hub

AUGUST 1, 2023

Delivering high levels of resiliency It’s essential for clients to be able to securely manage mission-critical workloads and enable business continuity as they implement strategies to reduce risk and keep pace with market demands.

Financial Services 67

Financial Services Computer and Electronics Cloud Digital transformation 67

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. How can banks, credit unions, and financial advisors keep up with demanding regulations while battling restricted budgets and higher employee turnover? The answer is data lineage. Don’t wait.

Financial Services 100

Financial Services Cloud Metadata Digital transformation 100

Info Source

JUNE 7, 2018

In the fiscal year 2017, the SER Group grew more than twice as much as the entire ECM market [1] [1]. Solidifying its market leadership, the SER Group continued to expand its customer portfolio with 50 new customers with primarily large installations. The positive flux of new orders continues in 2018 for SER.

ECM 40

ECM Marketing Content services Artificial Intelligence 40

IBM Big Data Hub

MAY 19, 2023

With the rise of cloud computing, web-based ERP providers increasingly offer Software as a Service (SaaS) solutions, which have become a popular option for businesses of all sizes. The rapid growth of global web-based ERP solution providers The global cloud ERP market is expected to grow at a CAGR of 15%, from USD 64.7 billion by 2027.

Cloud 79

Cloud Unstructured data Customer Experience Manufacturing 79

IBM Big Data Hub

JULY 12, 2023

For years, the bank has been part of IBM’s growing ecosystem of financial institutions and technology partners leveraging IBM Cloud for Financial Services to help deliver more improved customer services and products better tailored to each individual customer’s financial needs.

Digital transformation 51

Digital transformation Financial Services Cloud Customer Experience 51

erwin

AUGUST 13, 2020

M&A, new markets, products and businesses). Emerging Markets : What opportunities align to our business (e.g., data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)? Data Overload : How do we find and convert the right data to knowledge (e.g.,

Artificial Intelligence 143

Artificial Intelligence Healthcare Compliance Financial Services 143

IBM Big Data Hub

JUNE 26, 2018

In this Q&A, IBM financial services solution architect Irina Saburova discusses an insurance use case with IBM Data Science Marketing Lead Rosie Pongracz.

Data science 79

Data science Insurance Financial Services Marketing 79

IBM Big Data Hub

JANUARY 18, 2024

Interact when and where customers are Conversational marketing can be deployed across a wide variety of platforms and tools to meet your customers where and how they prefer. Your potential market is worldwide. Offer self-service options Customers often prefer to complete simple tasks independently.

Sales 95

Sales Artificial Intelligence Communications Marketing 95

IBM Big Data Hub

SEPTEMBER 6, 2023

When the market changes or a new opportunity comes up, businesses need the flexibility to adjust their financial plans quickly. While organizations gather data and undergo detailed reviews to craft a budget, the market doesn’t stand still. The downside of delays In the world of financial planning, timing is crucial.

Analytics 89

Analytics Marketing Artificial Intelligence Sales 89

IBM Big Data Hub

MAY 8, 2024

For true transformation to begin, we believe it is key to understand the unique challenges organizations are facing—whether it is keeping data secured, addressing data sovereignty requirements or speeding time to market to satisfy consumers.

Cloud 67

Cloud Customer Experience Artificial Intelligence Compliance 67

IBM Big Data Hub

MAY 9, 2023

We’re better together We’re operating in a market where no one company can succeed alone. But together, we have a massive opportunity to bring solutions to market faster and help achieve more collective success. Partnerships like this are increasingly important as we continue scaling hybrid cloud and AI adoption worldwide.

Cloud 100

Cloud Financial Services Marketing IT 100

IBM Big Data Hub

JANUARY 25, 2024

First, the organization puts the customers’ interest first when devising marketing strategies. Or an experience provider can minimize unnecessary offers by limiting marketing emails to events in the person’s area. These end-to-end consulting solutions span marketing, commerce, sales, and service.

Customer Experience 73

Customer Experience Retail Sales Artificial Intelligence 73

Reltio

MARCH 11, 2019

Product Marketing Manager, Reltio. 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. Ankur Gupta, Sr.

Digital transformation 40

Digital transformation Financial Services Data science Retail 40

IBM Big Data Hub

DECEMBER 14, 2023

Innovation with a security-first mindset We see fintechs playing a heightened role in helping enterprises securely manage the growing market demand for digital assets.

Cloud 91

Cloud Security Data breaches Cybersecurity 91

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 127

Cloud Digital transformation Financial Services Manufacturing 127

IBM Big Data Hub

APRIL 18, 2024

Also, applications that don’t just rely on an LLM for text generation but integrate it with other technologies to create a complete solution and significantly rethink enterprise workflows and proprietary data use are seeing strong performance in the market. Example: A hedge fund uses an AGI system to analyze financial markets.

Artificial Intelligence 95

Artificial Intelligence Marketing e-Delivery Manufacturing 95

IBM Big Data Hub

FEBRUARY 23, 2024

In conversational AI, this translates to organizations’ ability to make data-driven decisions aligning with customer expectations and the state of the market. The value of conversational AI According to Allied market research (link resides outside IBM.com), the conversational AI market is projected to reach USD 32.6

Analytics 104

Analytics Artificial Intelligence Marketing Education 104

IBM Big Data Hub

JUNE 26, 2023

Generative AI is being analyzed for a variety of use cases including marketing, customer service, retail and education. According to Precedence Research , the global generative AI market size valued at USD 10.79 While OpenAI has taken the lead, the competition is growing. in 2022 and it is expected to be hit around USD 118.06

Retail 70

Retail Compliance Risk Education 70

IBM Big Data Hub

JUNE 7, 2022

Firms in regulated industries such as financial services, healthcare and telecom will see additional regulations being enforced to ensure AI governance compliance with requirements to document the evidence of it. The use of AI becomes necessary to take advantage of the massive amounts of transactional and client experience data.

Government 52

Government Financial Services Compliance Cloud 52

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Many stock market transactions use ML with decades of stock market data to forecast trends and ultimately suggest whether and when to buy or sell.

Artificial Intelligence 87

Artificial Intelligence Retail Unstructured data Insurance 87

John Battelle's Searchblog

OCTOBER 11, 2014

A map tracing the information flows within Uber’s San Francisco market. 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. Or let’s look at another market: hospitality.

Financial Services 108

Financial Services Marketing Manufacturing Big data 108

ARMA International

NOVEMBER 7, 2019

The scope of a records and information management (RIM) program in financial services can seem overwhelming. Compared to other industries, the complexities of managing records and information in financial services are arguably some of the toughest to solve, primarily because of the intense regulatory scrutiny.

Financial Services 52

Financial Services Communications Compliance Risk 52

IBM Big Data Hub

AUGUST 15, 2023

As enterprises are seeing a lot of uptick in migrating workloads to cloud, IBM has created a space for itself amongst the many hyperscalers out in the market in terms of their Power Virtual server and Financial Services cloud offerings. This infrastructure was limiting the client’s ability to meet user and market demands.

Cloud 62

Cloud Digital transformation Energy and Utilities Retail 62

IBM Big Data Hub

JANUARY 15, 2024

This will enable them to effectively deal with environmental and market conditions that could slow delivery of raw materials, finished goods, or both. But organizations still need humans to decide what actions to take based on what the ML-analyzed data shows.

Digital transformation 77

Digital transformation Customer Experience Artificial Intelligence IoT 77

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

Reltio

MAY 14, 2019

“At the centre of everything I’ve done has always been data rather than pure technology because that is where the real value is.”. It helps that the market has also come towards us and data is at the heart of everything now. What aspects of modern data management solutions does Agile Solutions focus on?

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 54

IoT Artificial Intelligence Agriculture Blockchain 54

Data Matters

JANUARY 2, 2018

The Relentless Rise of Big Data and AI. As big data and AI make our lives easier and more of our quotidian activities are pushed online, cybersecurity and privacy issues will continue to be business enablers or business roadblocks. financial markets.

Cybersecurity 68

Cybersecurity Privacy Data breaches GDPR 68

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