DATA DRIVES US
At its core, intelligence, and the mechanisms that underlie intelligence, can be defined by the ability to respond to stimuli. We ingest data, absorb information, and react. Those reactions can be based on pre-programmed instincts: Hunger. Eat. Tired. Sleep. Dogs bark at the mailman. Or they can be more evolved. We can use that data to form very complex responses, and achieve very nuanced results.
Today, we have more data available than ever before. Some estimates suggest that we produce 2.5 quintillion bytes of data daily. That’s 2.4 trillion MB.
But the ability to respond to data is not the same as understanding it. For understanding to occur, we need to be able to ingest data, to store it and recall it, and to put it into context. Having access to data is not the same as knowing what the data means, where it comes from, how to respond efficiently and strategically. How to use it to predict what will happen next. How to steer those outcomes to achieve goals.
Luckily, learning and understanding are traits that have evolved alongside intelligence.
Today, we have tools that help us to not only gather and organize the world’s data, but to parse it, to make sense of it, and put it to use.
One very powerful set of data management tools is Google’s Cloud Platform (GCP). Using technologies such as Google Cloud Storage and BigQuery, when combined with SpringML’s expertise in Data Organization & Management, AI and Machine Learning, we are now able to not only understand what the data is telling us, but to respond to situations proactively, providing risk mitigation processes and solving for problems before they become bigger problems.
Lately, we have been collaborating with our University partners to develop and implement a set of tools that help students succeed. By working with students, faculty and administrators and using available technologies we are able to ensure that students have every opportunity to grow and develop. And, while we have not yet come up with a recipe for instant knowledge transfer — the human mind is analog and learning still takes study and effort, we have made it easier to ensure that students have what they require to optimize the process.
Below are some examples of how we have helped.
Using AI, Machine Learning and Student 360 Data Mining, Early Warning systems can assess student performance, identify at-risk profiles and help students to proactively course-correct in “real-time” in advance of visible consequences. This will help students get back on track and help universities increase their retention rate.
AI-Powered Digital Tutors
AI-Powered Tutor will support students by providing them with personalized content such as individualized quizzes for each student, personalized course content such as sectional PDFs. It will also help in automating assessment of learning gaps and submitted assignments. AI-Powered Tutor can widely increase the student engagement through 24/7 Assisted learning and content recommendations.
Distance Learning & Remote Content Delivery Systems
A whole suite of applications which will enable the students to be course-ready and engage efficiently with their instructors sitting in any corner of the world. Language translation tools, video conferencing tools clubbed with virtual agents will help in efficient delivery of lectures and improved synchronous learning.
Using CCAI technology, Chatbots and Machine Learning, this solution greatly improves efficiency and streamlines enrollment and admissions processes. Students are able to track progress, quickly self-resolve issues and challenges or be routed to the best advisor or resource for their particular problem. Further, with DocAI, students can auto-fill forms and applications leading to easier submission processes.
We can automate the process of scheduling meetings, pre-registering classes, making customized timetables,assigning courses, rooms, and students to instructors at educational institutions by using our Smart Auto Scheduler. Using Academic Scheduling software, administrators can set up time slots for classes and create an optimal schedule for each student, based on needs and available resources.
This will save a lot of time for administrators and the students by providing faster and more efficient scheduling components.
Special Needs Response & Support Technologies
AI enables people with disabilities to step into a world where their difficulties are understood and taken into account. Technology adapts and helps transform the world into an inclusive place with artificial intelligence accessibility. Smart AI technologies will take care of students with special needs by providing them with an arsenal of tools such as text to speech recognition, Language translators, Voice bots to help them with course content and also act as a feedback loop.