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How AI on Apple Silicon will help the enterprise


Apple’s senior vice president for AI and Machine Learning, John Giannandrea, has said he thinks machine learning will transform every part of the Apple experience in the coming years. How might this impact your business?

What about on-device Grammarly?

Grammarly is invaluable, but the one thing I don’t like about it (and a good reason for enterprises to forbid its use) is suspicion concerning what happens to what is written as it passes through the system.

In business, privacy is essential – particularly in heavily regulated industries. Imagine an on-device grammar checker that keeps what you write tight without your work ever leaving your device, unless you choose to share it.

That’s the kind of AI-based service Apple could provide – an enhanced version of what it offers already, but one that’s private and secure enough for business use.

Effective, relevant on-device grammar checking could become invaluable – though it needs to be more user configurable than autocorrect.

How about augmenting workflow tasks?

Of course, once you think about one augmentation solution, it becomes easier to consider others.

Think about the repetitive tasks that form part of your workflow. You may have already automated elements of these (I like text snippets and text replacement, for example), but the promise of on-device intelligence points to more effective articulations in which your device becomes your productivity boosting “digital twin.”

I am convinced Apple is already moving in this direction: Siri recommendations are the poster child for this, but imagine if this predictive intelligence were applied across other business processes. Imagine a Shortcuts app automatically curated to provide the relevant productivity skills used within your particular enterprise?

Help for business process management

The focus so far has been on empowering individuals to focus less on repetitive tasks in favor of more complex challenges. That’s great in terms of individual accomplishment, but most enterprises rely on teams.

How can on-device machine intelligence boost team workflows and improve process management?

One model that may work: Apple’s focus on privacy means no individual is marked out, but business process data can be shared within a group in an anonymized form.

The AI could, for example, follow the path of decision trees, analyze the time taken between communication and resolution and work to identify bottle necks in business processes that might not otherwise be visible.

Copyright © 2020 IDG Communications, Inc.


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