Intel® AI for the Enterprise Ecosystem

Intel is ALL IN on AI.

Intel CEO Brian Krzanich announced that Intel has invested more than $1 billion in businesses that are advancing the field of AI, saying, “We are 100% committed to creating the roadmap of optimized products to support emerging mainstream AI workloads.” These investments have come through the Intel Capital investment fund and include financing for a number of AI startups, including Data Robot, Mighty AI, as well as acquisitions, including Altera, Nervana Systems, and Movidius, just to name a few.

We’ve gained significant ecosystem support since launching Intel AI, among both academia and commercial developers.  For example:

  • Over 400 universities engaged
  • Over 67,000 students trained
  • Over 170 student ambassadors

Enterprise customers are using AI on Intel today. We offer optimized topologies for numerous AI workloads, including image recognition, object detection/localization, speech recognition, language translation, and much more. These capabilities can be applied across a wide array of industry verticals and use cases, including:

Industry Examples of AI Use Cases
Government Satellite and Drone imaging for safety, security, natural disaster recovery
Energy Predictive maintenance, health & safety, operational improvement
Finance Document analysis for fraud detection, trade order fulfillment, trading history search
Healthcare Medical imaging analysis, drug discovery & research, genomics
Media & Entertainment Sentiment analysis/ emotion detection
Transport Transportation as a Service, in-car infotainment
Retail Optimization of the shopping experience, including supply chain, marketing, product merchandising, customer loyalty

But what makes Intel special is that it’s uniquely positioned to accelerate enterprise growth.  Why?

  1. Scale: As the worldwide leader in compute, Intel is in a strong position to lead in AI. Customers can begin their AI journey with their existing Intel® CPU resources. This includes the ability to achieve almost any deep learning (DL) throughput—now that many of the most popular DL frameworks are optimized for performance and scale using Intel® Xeon® CPU infrastructure.
  2. AI Portfolio: Intel has the broadest AI portfolio, delivering compute, software, and solutions from edge-to-cloud, including purpose-built silicon acceleration, value-added software tools, turnkey cloud & appliance platforms, and even full-stack solutions, to ensure that our customers and developers have what they need to best solve their AI challenges.
  3. Research: Intel’s R&D investments will expand the frontier of AI computing into the next decade. These efforts include cutting-edge research on neuromorphic and quantum computing, storage, memory, communications technology, and algorithms, all aimed at removing barriers to AI advancements.
  4. Ecosystem: Intel invests heavily in ecosystem enabling to accelerate progress through industry collaboration with a diverse group of developers, academia, start-ups, government entities, and enterprise customers.

To continue this focus on accelerating enterprise and ecosystem growth via key partners, today we announced the Intel® AI Builders Partner Program, a market enablement program primarily for software vendors, systems integrators, hardware OEMs, and enterprise end-users.

Intel® AI Builder member benefits include:

  • Technical enablement with access to Intel® AI Academy, an exclusive Intel® AI DevCloud for Builders members, and technical support to optimize their solution.
  • Co-Marketing of partners’ optimized solutions via various Intel® channels.
  • Match-making optimized partners with Intel® enterprise customers.
  • Investment via Intel Capital for select start-ups.

Enterprise customers may also use Intel® AI Builders as a one-stop-shop to find optimized solutions on Intel® AI technologies. Intel® AI Builders members provide value and solutions across the innovation cycle and deployment process:

  • End-to-end solutions
  • Augmenting data/data labeling and loading
  • Experimenting with topologies
  • Tuning hyper-parameters
  • Providing machine learning and deep learning tools
  • Supporting inference inputs
  • Supporting deployment

To learn more about Intel® AI Builders and how to join, please go to To find out more about the announcement, please read the Intel News Byte

Published on Categories Artificial IntelligenceTags , , , , , ,
Brigitte Alexander

About Brigitte Alexander

Brigitte Alexander is managing director of artificial intelligence (AI) partner programs for Intel, where she is responsible for creating a scalable and vibrant global AI partner ecosystem on Intel AI technology by attracting, recruiting and maintaining relationships with best-of-breed enterprise independent software vendors, system integrators and original equipment manufacturers. Previously, Brigitte led ecosystem and global marketing for Vuforia, an augmented reality platform owned by Qualcomm and then sold to PTC, and held a variety of positions, including director of partnerships, partner marketing, and product management, at such companies as Yahoo and Infospace. Brigitte holds an MBA from the Thunderbird School of Global Management and a BA from the University of California, Santa Barbara.