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Cutting Edge AI and Machine Learning

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.

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Solutions

Some Real World Examples

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.

Live Traffic on Google Maps

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.

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Netflix Next Movie Selector

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.

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Video Surveillance

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 they happen. 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.

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Tinders Swiping Algorithm

With 55 Billion matches to date, Tinder is the world 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 alorithm learns which photos are delivering the best swipe results thus curating your profile picture to ensure maximum swipe results.

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02. Examples

Identifying Opportunities

Together we will identify and create data driven opportunities.  We will improve performance across various departments within your organization.

Enhancing Your Data

However machine learning is used, the process will probably begin by analyzing data sets. Understanding your data and knowing what data to prioritize is key. We will assess, analyze and build your data ecosystems

From Disparate Data to Insights

We will refine, structure, aggregate and normalize copious amounts of data to help you establish the proper platform in which to conceptualize the data sets. By structuring the unstructured, we are able to surface insights for better decision making.

Decision Making

Your project will uncover impactful cutting edge analytics to assist you in achieving desired outcomes to help you make real time decisions on the fly.

Making the Complicated Simple

We acquire and visualize data in a simple and easy to understand manner. The tools we develop will break down complex data silos to make for simple decision-making.

Data Platforms

Our knowledgeable team of physicists, data scientists, researchers, engineers and computer scientists can collaborate inside your environment or help you establish new platforms.  No matter your level of comfort, we work across a variety of platforms and tools to include, Azure, AWS, Google Cloud, Power BI, and more.

03. Explination
why us

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.

04. Why Us

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.

06. Case Studies
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07. Our Work
PROCESS

Building A Project With NineTwoThree

The best results are accomplished by experienced teams who already worked together on multiple projects, failed and learned a lot. We challenge ideas and status quo. Each teammate is not only a world class specialized operator but also an independent thinker. A human-centric product design and need-focused approach to business building sets us apart from Software Development Agencies of the past.

08. Expertise
FURTHER BREAKDOWN

Our ML Build Process

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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.

Research

With an analytical and data driven approach, we research, assess, identify, analyze and prioritise your needs and desired outcomes… and then do it all over again to ensure nothing slipped through the cracks. Your idea matters and our work is meant to make the difference.

Design / Build

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.

Implement

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.

Improve

After you test the market, you come back with feedback from your customers and internal stakeholders. We work to ensure reliability and deliver a project that meets and exceeds the specifications you originally came to us to solve on your behalf.

09. Process
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Give your Digital Venture idea a shape. Let’s plan and evaluate the essential features of your product to accomplish your business goals and eliminate possible mistakes.

We work with companies who understand that partnering with a world class team who has done it many times is a strategic advantage.

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