QUALCOMM in Artificial Intelligence Platform

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QUALCOMM
Online
California, USA
1985
$10BN to $50BN
Enterprise
76 Likes
62 Buyers Negotiating

QUALCOMM USP

Qualcomm has been focusing on bringing ML and AI technologies to various industrial applications. For instance, to enhance the capabilities of the Artificial Intelligence Platform technology across various industries, such as manufacturing and finance, the company acquired Scyfer B.V., which possesses developed capabilities in ML. Qualcomm also helps bring AI-enabled applications to various industries. Qualcomm has raised a funding of USD 14 million, under Series C, for its BrainOS platform. The platform is a software built with the help of sensors and hardware, designed to offer a basis for creating autonomous robots. Apart from this, the company is working on building AI technologies in various devices, such as robots and cars, to negate the requirement of network or Wi-Fi. Additionally, the company’s consistent efforts in R&D in AI is evident from the fact that it started the Qualcomm Research in the Netherlands in 2014, as well as, acquired Euvision Technologies. Moreover, in 2016, it collaborated with Google to speed up TensorFlow, Google’s open source library. Qualcomm, with the help from the University of Amsterdam, created a research lab. Additionally, in 2017, the company announced its support for deep learning frameworks, such as Caffe2 and TensorFlow. Request QUALCOMM Pricing to get more information.

Summary

Qualcomm’s Artificial Intelligence Platform was developed to offer the capabilities of ML on devices. The platform offers various experiences for smartphones, cameras, and VR/AR. AI technologies have been incorporated into its Snapdragon 835 mobile platform. The platform helps devices’ camera to identify objects and provide a better click. Additionally, it provides a virtual assistant to communicate with the device. Qualcomm’s AI platform also helps in organizing a day and suggesting restaurants for dinner. Furthermore, Qualcomm offers the Snapdragon Neural Processing Engine (NPE), which is a toolkit made of learning technologies, designed for developers to enhance the workload of the deep neural network on edge devices. The framework offers developers and OEMs with an efficient platform to offer a data-driven experience.

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Strengths
  • +13
    Full Time Equivalent
  • +8
    Large Enterprises (Revenue> 500 Million)
  • +11
    Machine Learning
  • +7
    Medium sized enterprises
  • +10
    Natural Language Processing
  • +5
    Per User Basis
  • +6
    Small Enterprise (Revenue< 100 Million)
  • +14
    Subscription / Licensing
  • +10
    Customer Support
  • +11
    Sales Support
  • +9
    Technical Support
  • +13
    Forecasts and Prescriptive Models
  • +5
    Speech Recognition
  • +6
    Text Recognition
  • +5
    Enhance Customer base
  • +7
    Enhance year on year growth
  • +6
    Focus on Product Innovation
  • +6
    Increase Revenue
  • +5
    Product Features and Functionality
  • +8
    Sustain in competition
Weaknesses
  • -11
    Inaccuracy in Data
  • -9
    On-Premise
  • -14
    Breadth and Depth of Product Offering
  • -7
    Product Branding
  • -6
    R&D Spend
  • -8
    Customer testimonials
  • -8
    Cloud
  • -14
    Managed Services
  • -5
    Professional Services
  • -7
    New Product Launches
  • -6
    Product Upgradation
  • -6
    Solutions Offered
  • -14
    No. of Innovations
  • -10
    Brand Recognition
  • -12
    Other tools, please specify
  • -12
    Other Support Services
  • -14
    Chatbots or Robots
  • -7
    Other Product Features Offered
  • -9
    Other Branding Method(s)
  • -14
    Other Branding Platform(s)

QUALCOMM Reviews

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Analyst

4
Sep 24, 2019

“Automated and AI-enabled Applications”

Qualcomm On-device AI allows for real-time responsiveness, improved privacy, and enhanced reliability along with better overall performance - with or without a network connection. Its AI Engine, along with software and hardware tools, is designed to accelerate on-device AI-enabled applications and experiences.
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QUALCOMM Presence in Artificial Intelligence Platform
Qualcomm has been focusing on bringing ML and AI technologies to various industrial applications. For instance, to enhance the capabilities of the AI platform technology across various industries, such as manufacturing and finance, the company acquired Scyfer B.V., which possesses developed capabilities in ML. Qualcomm also helps bring AI-enabled applications to various industries. Qualcomm has raised a funding of USD 14 million, under Series C, for its BrainOS platform. The platform is a software built with the help of sensors and hardware, designed to offer a basis for creating autonomous robots. Apart from this, the company is working on building AI technologies in various devices, such as robots and cars, to negate the requirement of network or Wi-Fi. Additionally, the company’s consistent efforts in R&D in AI is evident from the fact that it started the Qualcomm Research in the Netherlands in 2014, as well as, acquired Euvision Technologies. Moreover, in 2016, it collaborated with Google to speed up TensorFlow, Google’s open source library. Qualcomm, with the help from the University of Amsterdam, created a research lab. Additionally, in 2017, the company announced its support for deep learning frameworks, such as Caffe2 and TensorFlow.
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