Machine Learning & Artificial Intelligence

Transformative Technology Delivering Results

Artificial Intelligence (AI) and Machine Learning (ML) are arguably the next set of transformative technologies in the tech sector, in part because of their broad applicability across diverse applications and use cases, including:

  • Data management and classification
  • Network optimization
  • Digital/data security
  • Customer experience optimization
  • Workforce utilization and optimization
  • Your success is our success

But, what exactly is AI and ML, and how do they differ?

AI is the overarching discipline that covers anything related to making machines smart. Whether it’s a robot, a refrigerator, a car, or a software application, if you are making them smart, then it’s AI. ML is commonly used alongside AI but they are not the same thing. ML is a subset of AI. ML refers to systems that can learn by themselves. Systems that get smarter and smarter over time without human intervention.

In other words, AI, as we know it today, is symbolized with Human-AI interaction gadgets by Google Home, Siri, and Alexa, and by the ML powered video prediction systems that power Netflix, Amazon, and YouTube. These technological advancements are progressively becoming essential in our daily lives. They are intelligent assistants that enhance our abilities as humans and professionals — making us more and more productive.

So, how can we help you and your business utilize AI and ML to fuel innovation and create new capabilities and efficiencies?
      • Our skilled AI/ML team of data scientists, engineers and architects
      • Our AWS Cloud experience, partnership & certifications. Clouds, particularly public clouds, have become the dominant venues for AI/ML workloads.
        • More ML is happening on AWS than anywhere else because the AWS cloud provides secure, virtually unlimited access to data and power at scale. We’ll help you manage your compute needs, so you don’t overpay for predictions in production.
      • Our ability to improve your IT infrastructure to ensure you’re able to handle the rapidly escalating amount of data complexity AI/ML projects demand.
      • Our proven experience with the 3 key types of ML: Supervised, Unsupervised & Reinforcement Learning, as well as camera vision, image processing, object or behavior detection, and data modeling
Let’s discuss how we can help you.

Which of these challenges sound familiar?

Click to find out how our Machine Learning & Artificial Intelligence Services solved these problems:

Inefficient Systems & Processes
Correcting Bad Behavior with AI

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Skills & Staffing Gaps
Community Building Brigade-Style

On Thursday July 30th, Amazon Web Services announced a new developer community, AWS Community Builders Program. For months, Chris Miller, founder & CEO of Cloud Brigade, has had to keep this exciting news a secret. Due to Chris’s public contributions around AWS services, he was invited to participate within the Beta phase of this important program.

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Correcting Bad Behavior with AI

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DeepRacer Santa Cruz Meetup

DeepRacer is a 1/18th scale autonomous racing car with an onboard computer, camera, and a growing list of sensors such as Lidar and stereoscopic vision. Introduced at the AWS re:Invent 2018 conference, the official DeepRacer league has over 1500 members across the globe.

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Excessive Operational Costs
Correcting Bad Behavior with AI

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What Could You Do With $1000 of AWS Credits?

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Irresolvable Complexity
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Antiquated Technology
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Technologies

Correcting Bad Behavior with AI

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