Intelligent Automation Services by Solugenix

From automations to data analytics to Natural Language Processing, AI s changing the way business gets done. Some of the most common use-cases today include:

Fraud detection
Customer service using a telephone or chatbot
Data transferring, cross-referencing, and file updates
Predicting consumer behavior and product suggestions
Sales and marketing messages that are personalized to the individual

Based on your industry, there will also be many vertical solutions designed to help streamline your core business processes.

If teaching computers to think based on rules is AI, then Machine Learning is the set of tools used to make AI smarter.

Machine Learning can be programed to apply statistical models to self-optimize and improve the AI's "rule set, helping it make more accurate predictions in the future.

What might the AI need to learn? Here are some examples:

Trend spotting & Predictive Analytics
Filtering & dimensionality reduction: improving the signal-to-noise ratio in a dataset
Clustering: Fraud detection, customer segmentation, document classification, etc.

While many businesses started their ML initiatives focused on data sets and internal operations, we're increasingly seeing machine learning injected into products and services to produce a competitive advantage. For example, using ML to review medical images and spot cancers or diseases that doctors frequently miss.

Optimize Your Decision-Making

Currently a subset of Machine Learning, Predictive Analytics actually predates ML, because the statistical models for predicting trends can be performed procedurally (even by hand). But with advances in ML, the two fields are now merged.

For our purposes, the biggest difference is what we're focused on discovering. Whereas ML is an umbrella term, Predictive Analytics is very focused on two areas: forecasting and predictive modeling.

Depending on your business, these tools can help you make better decisions, more quickly and with greater confidence. Here are just a few of the possibilities:

Supply chain management
Measuring employee or customer sentiment
Facilities management (predicting mechanical failures)
Risk/Reward modeling for new products or campaign
And so many more!

If AI tells the machines what to do and Machine Learning helps them get better at deciding what to do, RPA bots are what actually “push” the buttons.

According to McKinsey & Company, nearly 45% of business tasks can be automated based on business rules. Robotic Process Automation (RPA) can help you begin that process in a cost-effective and non-invasive way.

"Bots" are simply software programs that mimic the behavior of your human staff, eliminating mistakes from human error and freeing your team to focus on more complex tasks. Rather than replacing company software, RPA takes advantage of existing applications to perform tasks the same way your employees do.

Plan For Automation Success

So you know you need intelligent automation in your business, but aren't sure where to start? Don't worry, that's what we do.

Every automation project begins with a keen understanding of your business. We want to help you build an automation program you can execute against over time, ensuring that you are stacking efficiencies to widen your competitive advantage (or make up ground).

Working with us is simple: just click the button below and fill out the form. A member of our automations team will reach out to discuss your strategy and develop a free proof-of-concept you can use to sell the initiative to stakeholders at your organization.