AI and Machine Learning Wave
Organisations across the world are rapidly adopting AI & ML solutions to configure and reshape their product portfolio to create a scalable operating model that is responsive to dynamic market and employee needs. This embracing of AI & ML solutions are helping organisations to reinvent business models and address new growth opportunities.
The global machine learning market was valued at $1.58B in 2017 and is expected to reach $20.83B in 2024, growing at a CAGR of 44.06% between 2017 and 2024. Experts predict that annual global AI software revenue will grow from $10.1B in 2018 to $126.0B by 2025, achieving a CAGR of 43.41%.
However, effectively aligning AI strategy with key business priorities to address core business challenges like risk mitigation, operational efficiency, revenue growth, etc. is more often than not is beyond the reach of most organisations because of the cost and complexity involved in meeting these specifications.
AI & ML Applications for Fund Managers
Generating Alpha:
For Fund managers striving to achieve organic growth by surpassing standard performance metrics, the adoption of alternative data sets and application of artificial intelligence has emerged as a distinctive factor in generating additional alpha.
Enhancing Operational Efficiency:
Fund managers will persist in the integration of AI and advanced automation to continually enhance the effectiveness of their operations. Furthermore, the existing traditional cost centers can be transformed into AI-powered solutions.
Improving Product and Content Distribution:
In the evolving landscape of customer experience, AI is becoming a pivotal tool for investment advisors to glean more insights, optimise content personalisation, and expedite its delivery to clients with increased flexibility and swiftness.
Managing Risk:
AI represents a transformative force in the realm of risk management. It equips fund managers with the means to fortify compliance and risk management functions, enhance and automate data analysis, and anticipate and handle uncertain events.
Thrive in a New World with Frshr Tech Advanced AI & ML Solutions
With our robust, tailor-made AI & ML solutions, we create personalised customer experiences and upgrade the way customers interact with your product. Our AI capabilities will enable you to cut down your operational costs, automate tasks, save time, and enhance workflow efficiency. Our expert data scientists and engineers help you reinvent your business and enhance the functionality of the current platform to help you thrive in this highly dynamic new world.
Scaling Value with AI & ML
Our machine learning model’s deployment begins with gathering data in quality and quantity and feeding it to prepare a suitable machine learning algorithm followed by testing models and mapping output to need while simultaneously improving it throughout the data science life cycle.
Case Studies
PrimeID – Digital Identity Solution
Identity Fraud is a $16.9 billion problem and becoming worse due to the increasing popularity of social media applications and multi-channel account access. Criminals targeting smaller numbers of victims but inflicting greater losses through more complex and varied approaches. Current identity fraud detection solutions are reactive by design and don’t protect consumers and businesses from criminals.
We received the Vision document for the PrimeID product from the Synerphase founding team and developed the entire product from scratch using AI and Machine Learning in less than 3 months timeframe. Our AI experts at Frshr Tech partnered with the founding team and played a key role in roadmap development and delivered API integrations with Facebook, Twitter, Shopify, Spotify, and DocuSign.
AI and Machine Learning Tech Stack
Let’s have a look at the technologies we use to develop AI and ML solutions:
- Python
- Tensorflow
- Theano
- Scala
- Keras
- DL4J
Contact us today for Free consultation on how AI and ML transform your business: