Explore more Categories
Artificial Intelligence involves the science and engineering of developing intelligent machines
The manufacturing world is at a cusp of a new revolution that will redefine conventional business models
IoT will have a major impact on businesses and consumers in the future
The world is creating 2.5 exabytes of data daily
Our research seeks to connect-the-dots across multiple trends
Personal Robots are Set to Be a $19 Billion Market
Strategic Analysis of BREXIT and its Implications to Industries, Economies and Societies
iFrost is a digital platform for interactive and dynamic reporting of data.
The TOEs are a great source of information which gives corporates critical information on companies to action for their strategic investments either as an open source platform or to collaborate and to develop successful products
Realigning Customer Engagement with Predictive Analytics and Customization
save 25 %
* Required Fields
Pay by invoice
Technology is disrupting the financial services industry. Also termed fintech, tech-enabled products and services in the industry are further enhanced by advanced technologies such as cloud, IoT, analytics, artificial intelligence (AI), and machine language (ML). This research service explores the impact of ML on the financial services industry. The objectives of the study are to understand the following:• The evolution of the financial services industry• ML and its impact on the financial services value chain• The ML ecosystem and different stakeholders• ML solutions and their implementation• Providers and use cases of MLShared economy and connected devices have made Big Data ubiquitous, and analytics has improved the outcomes of data analysis. To ensure that all the available data is utilized to come up with insights, an increase in the adoption of ML is expected, which would several processes and increase the ease of data gathering and analysis. Companies are experimenting with and adopting new ML-enabled business models, solutions, and services, and entering new markets. Fraud prevention, robo-advisory services and credit scoring are some of the largest growth opportunities for the application of ML in financial services. As proofs of concept and use cases come to the fore, myriad applications of ML are expected to alter the financial services industry as it is known today. Different stakeholders in the industry use diverse methods to implement it, including the following:• Start-ups are introducing innovation into the system by offering financial services that are cost-effective, faster, automated, and take into account consumer behaviour. • Large tech companies such as Amazon and Apple realize the potential and are already offering payment solutions to consumers.• IT companies responsible for the vast IT systems in financial institutions are upgrading their offerings with innovative and advanced technologies.• With connectivity playing an important role in creating an ecosystem that makes financial services available to consumers 24x7, telecom companies are also increasing their presence by updating their offers and including ML. Following are some of the key questions the study answers:• What are the challenges within the financial services industry that ML can help mitigate?• What are the current trends in ML adoption?• What drivers will encourage ML in financial services?• What are the restraining factors that may affect the growth of ML adoption?• What are the growth opportunities for ML in financial services?ML in financial services is forecast to become mainstream in a few years, as many factors are driving adoption. Notwithstanding all the challenges, the importance of ML is clear, and the inclusion imperative for financial services to successfully meet consumer demands and create an efficient and effective system.
Cloud Technologies Enabling Customer Experience in the Asia-Pacific Telecommunications Sector, 2017
Digital Transformation in the Global Retail Sector
Open Data Strategies of Real-time Cities
The North American Mobile Asset Tracking (MAT) Market
Australia and New Zealand (ANZ) Video Conferencing Endpoints and Infrastructure Market, Forecast to 2023
Asia-Pacific Video Conferencing Endpoints and Infrastructure Market, Forecast to 2023
Innovations in Analytics, Artificial Intelligence, and IoT
Addressing Risk from the Encrypted Threat Vector: Analysis of the Impact and Importance of Cisco ETA
Critical and Actionable Customer Experience (CX) Trends, 2017 Part 1
Japan Video Conferencing Endpoints and Infrastructure Market, Forecast to 2023
food preservatives market
food waste market
commercial uav market
artificial lift market
smart home market
nanophotonic equipment market
electric car market
nutritional supplement market
industrial robotics market
Fill in the fields below to receive a sample report
Don't have an account? Create One!
Enter your Email Address here to receive a link to change password.
If you are an existing frost.com user, please register using the same email for seamless access
Already have an account? Login!
Use your Linkedin account to login or register within our store.You're just one click away.