Transforming Financial Services with AI & Data:
Practical Use Cases for Scalable Innovation
Learn how AI and data are helping the financial services industry boost security, stay compliant and deliver personalized experiences. Whether navigating dynamically changing regulations, upgrading legacy systems or increasing scalability, this ebook provides insights from real-world AI projects in the financial services industry.
Use AI and data to enable smart, secure transformations
Chief innovation, data and compliance officers from across the financial services landscape are prioritizing AI innovations. According to the Bank of England, European Banking Authority and US Department of the Treasury, 75 % of British, 85% of EU and 78% of American companies are actively using some form of AI in their operations. Data is proving to be the key to overcoming the strategic challenges that come with AI adoption – from fragmented privacy laws, personalized customer experiences and cybersecurity. What do implementations look like and how should companies launch and manage these initiatives? Download this ebook to get expert insights, learn best practices and explore real-world use cases.
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What will you learn from this ebook?
01
Strategies for overcoming challenges in global financial services
Strategies for overcoming challenges in global financial services
Learn how to effectively deal with changing regulations, build user trust, update core infrastructures, mitigate cyber threats and manage real-time processing with AI solutions.
03
Steps for preparing your data for AI integrations
Steps for preparing your data for AI integrations
Discover the steps you should follow to set up data governance, increase visibility through data lineage and the role of analytics platforms in eliminating data siloes.
02
Practical applications of AI in financial services
Practical applications of AI in financial services
Take a look at how companies are increasing operational efficiency and elevating customer experience through targeted AI adoption that covers reporting, analysis, document reviews, knowledge management, fraud detection and credit scoring.
04
Real-world use cases: banking and investment
Real-world use cases: banking and investment
Explore how a real-time machine learning platform on AWS and a data ingestion solution enabled business-critical processes to handle traffic volumes, shortened time to market and reduced data acquisition and processing costs, among other results.
01
Strategies for overcoming challenges in global financial services
Strategies for overcoming challenges in global financial services
Learn how to effectively deal with changing regulations, build user trust, update core infrastructures, mitigate cyber threats and manage real-time processing with AI solutions.
02
Practical applications of AI in financial services
Practical applications of AI in financial services
Take a look at how companies are increasing operational efficiency and elevating customer experience through targeted AI adoption that covers reporting, analysis, document reviews, knowledge management, fraud detection and credit scoring.
03
Steps for preparing your data for AI integrations
Steps for preparing your data for AI integrations
Discover the steps you should follow to set up data governance, increase visibility through data lineage and the role of analytics platforms in eliminating data siloes.
04
Real-world use cases: banking and investment
Real-world use cases: banking and investment
Explore how a real-time machine learning platform on AWS and a data ingestion solution enabled business-critical processes to handle traffic volumes, shortened time to market and reduced data acquisition and processing costs, among other results.
Authors
About Software Mind
Comprehensive software development for financial services
Software Mind engineers software that reimagines tomorrow. For over 25 years, our engineers and consultants have been accelerating digital transformations and boosting software delivery for companies of all sizes across different industries.
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