Competing in the crowded, dynamic financial markets can be hard for companies to manage on their own. Business leaders in the financial services industry recognize how machine learning can accelerate and drive digital transformation but are hesitant about how to get started.
ElectrifAi is an experienced navigator who can steer you in the right direction with pre-built machine learning models. By analyzing large data sets of disparate data, we can:
· Identify cross-sell opportunities.
· Predict creditworthiness.
· Better engage with customers.
· Detect and reduce fraud.
Let’s discuss the following four machine learning model use cases that have proven…
By Luming Wang, CTO of ElectrifAi
Enterprise artificial intelligence is finally starting to get traction as C-level executives begin to realize that machine learning models can improve their top line and reduce their costs sooner rather than later. The rub has been that a vast majority of decision makers haven’t understood that they don’t need to hire a legion of data scientists and build their own solutions. There is still some confusion in the marketplace and in the press about this issue.
Fortunately, I was given the opportunity to provide some clarity on the subject, in particular about the availability…
Author: Luming Wang
Recently, many of our partners and clients have asked us: how do you handle bias in artificial intelligence and machine learning (Ai/ML)?
In our humble opinion, technology alone cannot solve the bias problem. And the reason is simple…
People often do not agree on whether bias exists or not!
Let’s look at a (made-up) computer vision example.
What is computer vision?
Computer Vision is a scientific field that enables computers to use high-level understanding from digital images or videos.
Using the images or video footage, the computer seeks to understand and automate tasks that humans can do…
Every company that processes invoices, such as from contractors or suppliers, must have continuous audits to try and catch fraud. But how many invoices can realistically be audited — even with a team dedicated to doing so? 10%? 20%?
Here are a few things you can do right away to catch invoice fraud:
Organizations must consider how are invoices coming into the company. If it is a very small…
MLOps stands for Machine Learning Operations. Some experts say it is a subset of ModelOps.
ModelOps is a practice of collaboration and communication between data scientists and operations professionals to help manage the production of machine learning (ML) lifecycles.
But let’s not get too technical.
The diagram below shows a great depiction MLOps:
Why is this diagram important?
Scaling has become a difficult process for data scientists, especially when it comes to transferring ML models from a development environment to a production environment.
Additionally, stakeholders in an organization are usually siloed across different teams with varying responsibilities. …
If you have data you have been saving hoping to eventually get insights from, now is the time to use that data!
How do you do that? Through machine learning (ML).
We know what you’re thinking. Machine learning can take years to implement and you need results now. Well, if you are planning to build machine learning from scratch, just know you can’t press a button and poof you have machine learning.
There is no compression algorithm for experience. You can’t speed up progress if you’re building a model from scratch. …
Are you one of the many who use video for surveillance, security, predictive maintenance, etc.? If you do, then we have very intriguing ways to optimize and expand upon how you currently use video. And if not, you’ll want to start!
What do you do with your video? Does it sit stagnant in storage waiting for a chance to become valuable? Do you use it daily for surveillance purposes?
If your video sits in storage, untouched, why not have it actively working in the background by analyzing processes and give you feedback on how to improve? …
Creating an excellent customer experience is crucial for the retail industry. Return customers are the bread and butter for a store to continue operations. And word-of-mouth references from those customers increases the store’s revenue.
So, how do you create those amazing experiences? With the power of Applied Ai!
Applied Ai is the part of Artificial Intelligence (Ai) for those organizations who want to leverage the power and capability of Ai and machine learning models but don’t want to invest in the research, development, and resources necessary to build from the ground up.
Many companies are involved in Applied Ai in…
Customers want to know they are a valued part of a company. An excellent way to do that is to provide amazing customer experiences. But with only a short amount of time customers allocate per company, how do you keep the relationship going?
By getting the customer’s email address, of course!
Email is a great way to keep in touch with customers. It keeps the company’s name fresh in the customer’s mind and offers can be sent for upsell/cross-sell opportunities.
The question we want to address today is: how do you keep the customer from hitting the dreaded unsubscribe button?
Supply and demand are something many companies must consider. A dynamic pricing strategy can help solve fluctuating supply and demand problems by changing the price of an item or service to meet consumer demand.
Leveraging pricing power is a great way to achieve business goals. And did you know that machine learning is the best way to leverage pricing power? Read on to find out more!
Let’s use the ever-popular Amazon.com as an example of fluctuating prices. Amazon.com …
ElectrifAi is the world’s machine learning software factory with over 1,000 pre-built or pre-structured machine learning models available.