IoT

Related Topics

Connectivity services Industrial IoT Intelligent edge

Top Articles

Hover to load posts
Real-Time Analytics

Related Topics

Decision Automation Real-Time Decisions Stream Processing Streaming analytics, event processing

Top Articles

Hover to load posts
Artificial Intelligence

Related Topics

AIOps Cognitive Computing Deep Learning Expert Systems Generative AI IBM Watson Machine Learning Natural Language Processing Reasonable AI

Top Articles

Hover to load posts
Big Data

Related Topics

Big data analysis tools Big data architectures Big data platforms Data management

Top Articles

Hover to load posts
Industries

Related Topics

Aviation Energy Entertainment / Digital Media Financial Services Healthcare Manufacturing Retail Sales, marketing Shipping / Postal Smart Cities

Top Articles

Hover to load posts
Use cases

Related Topics

Asset performance, production optimization Compliance and Anti-Fraud Computer-aided diagnosis and bioinformatics Crisis Management Customer Experience Management Energy management Financial analysis IT monitoring Medical diagnostics Network and Application Monitoring

Top Articles

Hover to load posts
Reports

Top Articles

Hover to load posts
Resources

Resource Hubs

Open Source for Real-Time Scale Our Resources

Featured Resources

Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today's digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
Blockchain Blockchain
Cloud technologies Cloud technologies
Data integration tools Data integration tools
Decision management Decision management
In-memory computing In-memory computing
Intelligent integration and BPM Intelligent integration and BPM
IIC Testbeds IIC Testbeds
Videos Videos
Events Events

SHARE

IBM Offers Blockchain, AI on Financial Services Cloud

IBM Cloud for Financial Services offers cognitive, blockchain and analytics tools.

Written By

Mar 22, 2017

2 minute read

Financial services will now have improved developer resources available to them with the launch of the IBM Cloud for Financial Services. The new service offers the key technologies needed to build financial services apps with blockchain, analytics and cognitive computing.

IBM said its Cloud for Financial Services will also give developers the tools needed to ensure security, privacy, regulatory compliance and customer insights. This will help reduce time spend on development and testing, and simplify tasks like data integration and mapping, the company said.

“We have extensive expertise in financial services with 97 percent of the world’s largest banks relying on IBM. At the same time, IBM has become the leading AI platform for business,” said Bridget van Kralingen, senior vice president of industry platforms at IBM. “Our experience across financial services and in the commercial deployment of AI with enterprise and start up builders has informed these new tools. We’re excited to see how they put them to work to quickly create the latest solutions powered by cognitive computing and blockchain for everything from new payments directives support, and even regtech solutions.”

IBM Cloud for Financial Services and FinTech

IBM also announced that it developed the Singapore FinTech Hub with the cooperation of the central bank of Singapore, the Monetary Authority of Singapore (MAS). The hub is linked to the IBM Cloud for Financial Services and will serve as a stimulus to support Singapore area FinTechs by providing access to cognitive and other APIs and information about local policies and development. It will also showcase made-in-Singapore apps and services to the rest of the world.
IBM Cloud for Financial Services is currently in beta mode. The general availability timetable isn’t known at this time.

Three financial services ripe for blockchain disruption

Blockchain in finance: from concept proofs to production

IBM rolls out blockchain for supply chain

Sue Walsh

Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.

Recommended for you...

Open Source Talent Shortage Expected To Increase in 2022

Open Source Talent Shortage Expected To Increase in 2022

A shortage of developers can lead to more reuse of components, which often are not vetted or updated. That can introduce hidden vulnerabilities into applications that are hard to detect with traditional monitoring tools.

Jul 12, 2022

Volvo Puts IoT and AI in the Driver’s Seat for Vehicle Connectivity

Volvo Puts IoT and AI in the Driver’s Seat for Vehicle Connectivity

The company will use analytics and IoT to improve diagnostics and maintenance.

Nov 6, 2020

Cybersecurity and Digital Trust Companies Team for IoT Threats Detection

Cybersecurity and Digital Trust Companies Team for IoT Threats Detection

The IoT Threats Detection service will use machine learning and traffic analysis to learn legitimate behavior and detect anomalies.

Oct 12, 2020

Cornell Researchers Create the Country’s First Statewide IoT Network

Internet of Things

Cornell Researchers Create the Country’s First Statewide IoT Network

The project’s goal is to increase the availability of internet access and promote IoT adoption.

Oct 9, 2020

Featured Resources from Cloud Data Insights

How AI Is Repeating Familiar Shadow IT Security Risks

Artificial intelligence technologies

How AI Is Repeating Familiar Shadow IT Security Risks

Enterprise AI adoption is creating new security risks as sensitive data moves into public models, unverified AI tools enter production, and autonomous agents gain access to enterprise systems. In fact, today’s AI governance challenges mirror the shadow IT and SaaS security issues organizations faced in earlier technology waves.

Salvatore Salamone

May 16, 2026

Vector Databases and Semantic Search: The Next Frontier in Unstructured Data Analytics

Vector Databases and Semantic Search: The Next Frontier in Unstructured Data Analytics

Discover how vector databases and semantic search are transforming unstructured data analytics. Learn how enterprises use these technologies to unlock insights from documents, customer interactions, sensor data, and operational intelligence.

Salvatore Salamone

May 15, 2026

Manufacturing Keeps Making the Same Security Mistakes

Manufacturing Keeps Making the Same Security Mistakes

As the industry embraces new technologies and digitalization, most manufacturing teams simply aren’t plugging software holes fast enough.

May 14, 2026

The Death of Traditional Telecom: Why Real-Time Infrastructure Is the New Competitive Edge

Real-Time Decisions

The Death of Traditional Telecom: Why Real-Time Infrastructure Is the New Competitive Edge

The definition of telecom is changing. It’s no longer about simply connecting people and systems. It’s about enabling real-time business.

Chris Alberding

May 13, 2026

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Company

About us Contact us Our Team Engage with Us Write for us Brain Trust

Categories

IoT Real-Time Analytics Artificial Intelligence Big Data Industries Use cases Reports Resources

Property of TechnologyAdvice. © 2026 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.

Terms of Service Privacy Policy California - Do Not Sell My Information