Gone are the days of looking at reactive outputs, which tell you the obvious. Systems today with the help of Artificial Intelligence (AI) platforms on cloud infrastructure provide multiple scalable services which learn from the steady stream of data and improve the analytical output considerably.
TechSophy harnesses the powers of machine and deep learning algorithms to assist in the data cleaning, learning which in turn assists in empowered decision making.
We use platforms which are powered by Google, Amazon and Microsoft.
Predictive Analytics helps connect data to effective action by drawing reliable conclusions about current conditions and future events (Gartner). These patterns unfold anomalies of past, and help in anticipating the future. The anomalies can be frauds or new discoveries of systems and the anticipations can be future opportunities, or reminders of risks involved.
TechSophy has hands-on experience in building predictive models for various organizations. TechSophy has developed Panacea, a predictive analytics solution for risk based management of clinical trials for Pharma, CRO’s, Biotech and medical devices industries.
It helps in recruiting and monitoring participants for clinical trials. The advanced algorithms help identifying the future dropouts and taking effective measures for backup. It helps in identifying the falsifying clinical research centers and coming up with fool proof audit plans. It also helps in selecting a center which is more likely to be successful.
Chatbots / Voicebots are intelligent software systems that respond to the customer queries without the need for a human. They can bring down the costs incurred considerably for sales and customer support, 24×7.
They also add the “cool” factor to the way people interact for the services that are offered. How cool would it be having a chatbot on Facebook Messenger for your customers? They can directly interact with your chatbot over a chat conversation and instantly get the details that they need.
Digital AI assistants are becoming increasingly popular with the number of people wanting to use the technology to get various things done. Asking Siri for setting the reminders, taking notes, calling someone etc. Similarly, you can ask Amazon Alexa devices to get the weather updates or book a cab for you or control the things in your home etc. Or, logging into a conference via Amazon Echo Spot.
All the above things are done simply by giving simple voice commands to the digital assistants who process them and hit the right web service to fetch the information or to perform the action.
In case you run a car servicing business and expose the Amazon Alexa skill to your customers by using which they can schedule a service, or know the status, etc.
If you are into banking, how cool would it be to have an Amazon Alexa Skill for your customers to transfer the funds or know their balance, etc.
Self-Correcting & Healing Processes are the ones that can detect probable delays or exceptional behavior in execution of a process and correct it themselves or escalate to handle the situation. Some use cases can be like trying to restart the system which is unresponsive or redirecting the request to a different server to process the request. Below is a use case for one of our customers in real estate domain.
Our customer is a premium real estate developer based out of Dubai and executing in Africa and India. They are currently building the tallest tower in Africa outside South Africa. They have very strict timelines to follow to be able to deliver it to their customers apart from the cost of the capital involved.
Project planning plays a key role in managing and executing a project of this magnitude. It is vital to ensure that the things get done as per the plan on time and handle the probable issues that can cause delays in the execution.
It was getting very difficult to understand the bottlenecks and delays to come up with the back up plans or for workarounds when multiple parties and coordination across geographies, skill sets is involved. Though the business processes were in place, they were not smart enough to understand the bottle necks to notify or escalate when required. Either escalating always or never till the problem actually happened which unfortunately makes it very difficult to react. This especially when 100’s of millions of dollars are involved was getting to scary proportions.
We have proposed and implemented intelligent processes that get to know the average time and costs that are required (from history) to execute the next steps before hand and set a timer on the next set of activities with inputs on the average costs. If the timer gets fired, the process notifies or escalates based on the need and restarts the step and tries to take a different route than before to get the work done. E.g. Assigning to a different user / group, cancelling the current vendor and finding the next best vendor, etc. With this approach in place along with the escalation processes, it made the life very easy for the customer to handle the delays better and bring them down significantly.
For more information on our AI offerings