-
-
-
-
URL copied!
As the financial industry becomes increasingly digitized, the number of online transactions grows exponentially. While human analysts can’t keep up with all this data to make informed decisions, artificial intelligence can.
How can machine-learning (ML) be used to build and sustain a successful investment solution? In this paper, you’ll learn how to train an ML system to create a diverse portfolio using the Pearson Correlation and employ techniques of time series forecasting to ensure long-term growth.
Top Insights
Best practices for selecting a software engineering partner
SecurityDigital TransformationDevOpsCloudMedia
My Intro to the Amazing Partnership Between the...
Experience DesignPerspectiveCommunicationsMediaTechnology
Adaptive and Intuitive Design: Disrupting Sports Broadcasting
Experience DesignSecurityMobilityDigital TransformationCloudBig Data & AnalyticsMediaTop Authors
Trainee Software Engineer
Senior Manager, Engineering
Principal Architect, Technology & Consultant, Engineering
SVP & GM, Medical Technology BU
Consultant, Engineering
Let’s Work Together
Related Content
Enterprise GenAI: The Time to Focus on High-ROI Use Cases is Now
In the relentless pursuit of digital transformation, enterprises are constantly seeking innovative avenues to maintain a competitive edge. Generative Artificial Intelligence (GenAI) stands out as one of the most promising frontiers in this quest. Unlike traditional AI, which primarily focuses on data analysis and interpretation, GenAI has the unique ability to generate new, original content, ideas, and solutions, making it an indispensable tool for businesses across various sectors.
Learn More
DevOps for Customer First Strategy
In the healthcare industry where medical insurance providers are competing with each other to acquire more and more customers, evaluating customers' application to assign a risk level is of prime importance. This helps in formulating the policies and the premium that a customer needs to pay. In order to work on this the insurance companies must share their data which is highly susceptible of being stolen and misused against them by their corporate rivals.
Learn More
ML – federated learning – Application in life insurance industry
In the healthcare industry where medical insurance providers are competing with each other to acquire more and more customers, evaluating customers' application to assign a risk level is of prime importance. This helps in formulating the policies and the premium that a customer needs to pay. In order to work on this the insurance companies must share their data which is highly susceptible of being stolen and misused against them by their corporate rivals.
Learn More
Ontology – key Enabler of Next-Gen Technologies
Every big or mid-sized company has a proliferation of sites, edge devices, apps, and different technologies for managing and scaling their business. These systems generate plenty of structured and unstructured data. Industries are investing billions of dollars in digital transformation, but the actual value is not being extracted from these data. Cutting-edge technologies like Artificial … Continue reading Artificial Intelligence in FinTech: Part 1 →
Learn More
Role of Generative AI in Transforming Businesses
AI industry has experienced tremendous growth recently, with new breakthroughs happening regularly. From chatbots to image recognition, businesses are rapidly adopting AI to streamline processes, automate tasks, and provide more personalized experiences to customers. However, with this growth, there is also a growing demand for data scientists and AI experts who can build and implement … Continue reading Artificial Intelligence in FinTech: Part 1 →
Learn More
Share this page:
-
-
-
-
URL copied!