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AI: keep it simple — and fast — with help from Intel

Peter Krass's picture

by Peter Krass on 04/23/2020
Blog Category: advanced-technologies

Looking to get into artificial intelligence, either to help your customers or beef up your own business? You’re in good company. Last year, worldwide sales of AI products and services totaled some $37.5 billion, according to IDC.

In part, that’s because AI technology has moved far beyond the stage of mere prototypes and experiments. In fact, AI is now used in real-world applications across industries including banking, retail and healthcare. Among their AI applications are chatbots, smart assistants, personalization tools and super-focused search engines.

But hang on: Implementing AI technology is far from simple. Getting up to speed can involve a lengthy and challenging journey.

Partner power

That’s why tech providers getting into AI will want to find a partner. Specifically, a partner that understands AI’s underlying technologies and processes. A partner that has the advanced AI skills, knowledge and expertise. And a partner whose brand inspires trust.

One potential partner that checks all those boxes is Intel. Of course, Intel has for years been a byword for tech innovation, especially around processors, memory and storage.

But in the last few years Intel has also made big investments in AI. The company has committed itself to helping others accelerate their AI journeys, moving quickly from theory and experiments to revenue-generating reality.

4 ways to keep it simple

AI can be complicated, but Intel is keeping its AI offerings simple. The company thinks of the AI journey having just 4 steps:

> Step 1 - Discovery: To get started, you’ll first learn what’s possible, identify the highest-priority use cases, and get organized internally.

> Step 2 - Data: This step includes setting up a common data framework, then ingesting, storing and cleaning your data.

> Step 3 - Develop: Here’s where you’ll procure the right compute resources, then model, conduct tests and document your results.

> Step 4 - Deploy: Finally, you’re ready to architect a production system. Then you can implement, scale as needed, and iterate your model.

3 support paths

To help you with each of these steps, Intel offers a threefold path of support:

> Community: Get started faster with help from others, including Intel and its partners, other tech providers, and training.

> Software: Intel now offers open AI developer tools, topologies & models, frameworks, kernals and more. These support many of today’s most popular languages and platforms, including Python, Caffe and TensorFlow.

> Hardware: Intel’s hardware offerings — CPUs, GPUs, FPGAs and AI accelerators (ASICs) — work with a wide range of smart devices, intelligent edge setups and multicloud environments. Yet they share a common optimized software layer.

Get rolling with AI

Very quickly, AI has moved from cool idea to business imperative. Yet it’s complex enough that most tech providers will need and want a partner.

Also, AI is a journey, not a sprint. You’ll need to think of about your entire data life cycle.

Intel wants to help with its full portfolio of data analytics, AI solutions and resources.

Get rolling with these Intel AI resources:

> AI overview site: news, events, posts, solutions, spotlights

> AI Technology Portfolio: frameworks, hardware, software libraries and more

> AI training from Intel: AI Foundations Competency and AI at the Edge Competency

> AI Builders: a market enablement program for partners

> Intel Select Solutions for AI: benchmark tested & verified solutions

> Build your skills with Intel’s AI Developer Program


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