We can help you transform information-intensive business processes, reduce manual work and errors, minimize costs, and improve customer engagement.
Machine learning algorithms bring strengths such as the ability to cut through complexity that are different from, but at the same time complementary to, human skills.
The modern workplace is transforming into a new environment where employees and their new digital co-workers can benefit together from innovated internal processes, such as chatbots and extensive customer analytics, as well as an improved way of doing business.
The purpose of utilizing intelligent business automation is to drive a much more productive relationship between people and digital systems.
In auto insurance, machine learning algorithms can use customer profiles and real-time driving data to estimate policyholders’ risk levels, as well as vetting prospective buyers and making decisions on whether to approve applications.
Claims handling and
Applying machine learning to the Financial Services industry enables claims processes to be handled by machine learning models – decisions on whether to pay out on claims, in some
cases, can be made without the need for human intervention.
Based on data gathered by AI and IoT, they can formulate personalized rates to potentially create savings for both
consumers and insurance companies.
Fraud classification and detection is a key endeavor for financial services companies in their search for an optimal and timely manner to manage risks.
For example, AI can be applied when coupled with a Custom Vision scenario, in which the claim details, such as the parts of the goods, which have been damaged, the severity and other information, are automatically determined by such a model and fed into a fraud detection model afterward.
AI-Driven Fraudulent Claim Detection in Insurance Applications
In our Bucharest edition of the Global AI Bootcamp, we developed
a model during an interactive application exercise that was able to detect fraud at various probability levels, based on the data used in the training session. New claims can be submitted to the service for classification. The app uses the information returned from calls to the Web Service to decide if the claims are fraudulent or not. It also shows the probability that the classification assigned to each claim is correct. It is important to note that the more claims are used to train the model with, the more accurate its probability rate will be.
Our framework for Software Development
We’ve crafted a set of methods, best practices, and recommended tools, that offer fast delivery and full visibility into the development progress.
20 Trends for 2020
While digital transformation has been on the agenda for years, 2020 is predicted to be a crucial time to accelerate and deploy it across industries.
Data Culture of Continuous Innovation
By 2021, “80 percent of midsize to large enterprises will change their culture as a way to accelerate their digital transformation strategy” (Gartner).
Dashboards: The Ultimate 15 Point Checklist
A business dashboard needs to be user-friendly and support the decision-making process. To help you on the journey towards achieving growth with data, we will delve into 15 dashboard design principles to help you develop comprehensive dashboards.
Software Engineering: how we work
We care and contribute, not just execute. We also stand out with excellent domain specialization as well as expertise in modern digital technologies
Setting yourself up for success aka the S.E.T. Program
Recently we've launched the “S.E.T. for Success” Program under the motto "accelerate your emotional transformation". We've invited one of our mentors to share his motivations to join the program.
Getting comfortable outside your comfort zone
We've invited Alexandra to share her personal experience with the Softelligence Train and Hire program, as a graduate of the internship who has chosen to start her career with us.
Software Internship Opportunities
Softelligence internship programs offer training in modern software practices, career development, rewards, senior leadership, and meaningful coding skills.
Softelligence Academy: what's it like
We've invited Ligia, one of our most recent graduates to share her personal experience with the internship.
10 Ways AI is Transforming Insurance
63% of insurance executives believe that the entire industry will be transformed by intelligent technologies.
Industry Reportsread more
Choosing the Right Self-Service Analytics Platform for Your Organisation
Let's have a look at a side-by-side comparison of Microsoft Power BI and Tableau to meet the self-service analytics needs of medium to large-scale organisations that seek to make data-driven decisions.
Interview: Digital is not an abstract concept
Whether we are talking about adoption rates of new technologies or adaptation to new processes, the human aspect...
Softelligence joins the MGAA as Supplier Member
Starting June 2019, Softelligence is a registered Supplier Member with the Managing General Agents’ Association (MGAA).
Using AI to Optimize Customer Experience
Consumers are existing in an increasingly digitized world and their expectations are being set accordingly...
Digital Transformationread more
Bucharest AI Night
The Global AI Night is a free evening event organized by 60 communities all over the world that are passionate about Artificial Intelligence on Microsoft Azure
How we operate: discover our D.A.T.A. Framework
Explore a new operating model for digital transformation: Digital Agents for Transformation Acceleration.
Digital Transformationread more