Uncovering Inflection Points Inside your Data
You will work with data scientists who are passionate about applying their knowledge to real world business problems. Our AI/ML team consists of experts in machine learning, advanced computational science and statistics committed to turning your data into a competitive advantage.
With all of the attention on machine learning, many companies are seeking a better understanding of this hot topic and the benefits that it could provide to their organizations. Machine learning, as well as deep learning - are driving innovations in identifying images, getting a faster, more insightful route to your destination, curating television you will enjoy, helping you find your soulmate and much much more.
Some Real World Examples
From self-driving cars to artificial intelligence, we live in a period marked by rapid innovation and change. Now couple the accelerating pace of change with increasing pressures from funders to spend fewer dollars on overhead, and the fact becomes clear: we need to find new ways of doing things!
Today, Machine Learning has been used in multiple fields and industries. For example, streaming shows on television, Horticulture, Online dating, Bees, and Aquaculture, and Traffic.
With underwater cameras monitoring fish, real-time insights will assist in making decisions on the fly. From fish counting and fish identification to visibility into fish lice inside your pen, ML makes your investment more valuable to identify risk and take early action to protect the welfare of your fish farms.
Every day, more than 1 billion miles are driven with Google Maps in more than 200 countries and territories around the world. To predict what traffic will look like in the near future, Google Maps analyzes historical traffic patterns for roads over time. Then, they combine this database of historical traffic patterns with live traffic conditions using machine learning to generate predictions based on both sets of data.
Personalized TV programming suggests shows you’re most likely to enjoy based on a ML-powered recommendation system. Instead of scrolling through the endless library of shows and movies, your list is already curated based on your viewing history.
The Random Forest algorithm improves over time. The more shows you watch, the more the system learns what types of shows to deliver back to you for an enjoyable experience.
With 55 Billion matches to date, Tinder is the world's most popular dating app, making it the place to meet new people. Tinder is using machine learning to identify which photos deliver the best match results. It starts with A/B testing the photo first seen by others when your profile is shown. When more people see your photos, the algorithm learns which photos are delivering the best swipe results thus curating your profile picture to ensure maximum swipe results.
As pollinators, bees play a part in every aspect of the ecosystem. They support the growth of trees, flowers, and other plants, which serve as food and shelter for creatures large and small.
The alarming decline in Bee population can be attributed to Varroa mites. Through ML, mites are detected and observed to estimate the rate of infestation and help stop the mites from taking over a hive thus keeping the Bee population intact for continuous pollination.
Imagine a single person monitoring multiple video cameras at once? Video surveillance systems are now powered by AI that makes it possible to detect crime before it happens. Unusual behavior of people standing motionless for a long time, taking pictures of the building and hovering around the premises for long periods of time will send alerts. When such activities are reported and end up being validated, they improve the surveillance services with machine learning doing its job on the backend.
When patient information such as symptoms, risk factors and lab tests are provided, Machine Learning can analyze the data and provide a list of likely conditions and relevant observations to verify or monitor.
A solution like this will enhance the patient, nurse, and Doctor experience as well as streamline operational processes while strengthening the recommendation algorithm. Implementing a technology of this magnitude will improve the interview process and prevent unnecessary urgent care visits and appointments.
Uncover Hidden Inflection Points inside your own Data
Every business needs the power to make data-driven decisions. From data cleaning and consolidation to constructing data pipelines, to building and validating predictive models, to deploying a machine learning-enabled application, NineTwoThree’s machine learning experts are ready to architect and develop a machine learning solution that turns your data into actionable predictions and recommendations.
How we deliver your ML Solution
ML, and all that it promises, is nothing without a strong foundation of clean, reliable and accessible data. Starting with a discovery process to uncover key business needs, challenges and goals, the NineTwoThree data team quickly gets to work identifying and recommending opportunities for rapid delivery value.
84% of Executives are leaning in
It's clear, Machine learning can transform your business. ML opens up unparalleled opportunities for organizations enabling automation, efficiency, and innovation. 84% of executives say they won’t achieve their growth objectives without leveraging AI and Machine Learning technology.
Trust & Transparency
By curating a robust set of algorithms, Machine Learning helps you understand, explain and use for real time decision making. Explaining how data behaves and why certain predictions are being made builds trust and transparency.
Machine Learning Projects We Built
EV Charging stations are at risk of breaking down, thus inconveniencing the end-user. By developing an ML powered platform, we can now identify anomolous behavior and predict down-time ahead of time
Xeros Washing System
By accurately monitoring equipment usage, water & electricity consumption, ML identifies issues in advance and sends alerts of potential downtime. This layer of intelligence reduced labor costs that helped the bottom line.
4G Network Optimizer
Having an ML solution sit on top of anomaly detection methods, we can anticipate traffic demand in different parts of the network. This improves traffic utilization that leads to significant energy and cost savings that helped drive ROI.
Dorel uses machine learning to determine when a sleeping baby is waking up through the use of an infrared baby monitor. The team at Dorel studied the patterns of hundreds of sleeping babies to determine the algorithm that predicts the changes in a breathing pattern ultimately leading to a predictive model.
Suffolk used the video monitoring system created by NineTwoThree to analyze movements on Construction Sites. The team partnered with SmartVid to predict possible incidents on site by training the model when previous incidents occurred.
Building A Project With NineTwoThree
Discovery Deep Dive
Eager to learn, we will come prepared to understand your idea, get to know your key stakeholders and set proper goals and expectations to ensure we are aligned with your vision. We will use this time to identify the project scope and set expectations.
With an analytical and data driven approach, we research, assess, identify, analyze and prioritise your needs and desired outcomes… and then we do it all over again to ensure nothing slipped through the cracks. Your idea matters and our work is meant to make the difference.
Working closely together, our team designs, builds and tests the effectiveness against your business objectives. Putting them into a working prototype is necessary to ensure your thought is taking the shape the way you imagined.
Our team, led by the project manager, begins to build, test and deploy parts of your solution in a series of two week sprints. Once the project is ready to be delivered according to the statement of work, your project is handed over to the Engineers to bring it to life.
After you test the market, you come back with feedback from your customers and internal stakeholders. We work to ensure reliability and deliver a machine learning project that meets and exceeds the specification you originally came to us to solve on your behalf.