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When Is The Right Time To Start Using AI In My Organization?

Artificial intelligence is drastically changing how we interact with our natural environment. Whether you are asking Siri for the best recipe for crock pot ribs, riding in your self-driving model 3, or saving money on your energy bill with Google Nest, AI is here and it’s only getting more efficient.

Typically only reserved for Fortune 500 organizations with the data teams and capital to support these types of initiatives, AI is being redefined and democratized to support any level of organization. Startup to enterprise, AI is the new digital disruption.

So how do you decide when to use AI? And what are some practical applications where one can hit the ground running with artificial intelligence? How does one take advantage of AI when it can drive business value such as:

  1. Accelerating data processing and data analysis
  2. Detecting anomalies, proactively
  3. Unlocking new insights, in context

Thomas Kurian, CEO of Google Cloud, and Google Cloud’s vast network of partner organizations are addressing those questions now – and it’s not as complicated as you might think. Unpacking these questions leads to the underlying philosophy of Google Cloud’s stance on AI - an industry specific philosophy. 

“When you look at our industry-specific solutions, a lot of investment has already gone into business-process automation: ERP, supply chain, logistics, etc. We are not trying to replace those solutions; those business-process implementations take years, and there’s a lot of cost associated with going to a customer and telling them ‘Please rip out your supply chain.’ However, what we are doing is helping them, by using our data analytics and machine learning, extract data from these solutions and be much more intelligent in how these applications function.”

It’s all about improving and optimizing your existing mission critical solutions. And Google Cloud’s unique stance on layering your existing solutions is accomplishing exactly that. Where other cloud providers seek to “lift and shift” your current business-process automation, Google Cloud seeks to improve and build upon. If your systems are already in place, you can start today.

Proven by Partnerships

The best demonstration of Google’s stance on AI is their partnership with SAP. Largely regarded as the chief competitor to Oracle, and a market leader in the Employee Resource planning (ERP) industry, SAP and Google Cloud entered into a strategic partnership in late 2017 that allows customers to easily integrate Google’s cloud and machine learning solutions with SAP enterprise applications. By doing so, users can optimize for performance or cost, take advantage of flexible cloud deployment models so you can deploy at your own pace, minimize downtime and remove maintenance of infrastructure, and take advantage of Google Clouds vast network of machine learning solutions.

Proven by Customers

More specifically, a customer example of Google’s AI in action is Macy’s using Google Cloud’s infrastructure to power its new, in-house developed warehouse management software. Google Cloud works with Macy’s to layer AI and data analytics solutions to their existing infrastructure, and by doing so, has created a culture of innovation that has transformed the retail chain into an AI-enabled organization. As CIO Dive describes it, “Supply chains are particularly ripe for cloud adoption, given the intricate pieces tying disparate parts of the business together.” By leveraging Google Cloud solutions, Macy’s has experienced improved digital and mobile experiences, site stability, drastically improved fulfillment and logistics operations, and has streamlined their retail operations. 

Now you might be thinking, ‘I’m not a Macy’s’, but that doesn’t mean you don’t have places where you’d like to optimize your process. Take Evernote for example, roughly 1/1000 the size of Macy’s. Using Google Cloud’s built-in advanced data analytics and machine learning capabilities, Evernote is vastly improving how they monitor performance of their applications and bringing data together to better understand how consumers are using Evernote. By starting small and making incremental improvements, Evernote is gaining further competitive advantages and enhancing user experience. 

Moral of the story, AI is attainable no matter your company size. Whether you are an enterprise level company, or a startup navigating the waters of your industry, AI is the new digital disruption and Google Cloud is committed to providing cutting edge tools so you can attain your unique business goals. 

If you would like to learn more, keep going with your research. We have the perfect eBook for you to continue: Machine Learning at a Glance. This will cover more examples of how organizations are taking advantage of AI technology, some points to get buy-in from your team, and directions for how to get started successfully. (This CIO’s Guide to Data Analytics & Machine Learning is also an oldie, but goodie.)

You can also reach out directly to an expert. We’re here to help!

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Originally published on June 23, 2020

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