AI technologies, including machine learning, give enterprises more insight into their data, streamline IT management tasks and provide a number of other benefits. Machine learning achieves these benefits by finding patterns in enterprise data sets and predicting possible outcomes -- all without the need for human intervention, which frees up admins for other tasks.
Machine learning and AI services from major public cloud providers, such as Amazon Web Services (AWS), Azure and Google, make these technologies more accessible to enterprises. But before jumping in, organizations need to ensure that they have the necessary IT skill sets, carefully evaluate their service options and then implement them effectively.
Use this guide to tackle some of those challenges and to get started with machine learning and AI cloud services in your organization.
Cloud AI services emerge in the enterprise
On-premises machine learning and AI implementations can be costly and complex. These technologies require lots of storage and computing power to analyze large amounts of data. Enterprises might need to purchase more hardware and software, as well as pay for more maintenance in their data center. New public cloud services can reduce some of this complexity and cost and make machine learning and AI more readily available to modern enterprises. Even still, some organizations struggle to realize exactly how they can or should apply these technologies.
The public cloud has become a popular destination for AI deployment and experimentation, enabling enterprises to test machine learning algorithms and other technologies more easily than they could on premises. Continue Reading
Public cloud providers offer their own flavor of machine learning services that are simpler and, in some cases, more cost-effective than on-premises alternatives. Still, it's best not to rush a deployment. Continue Reading
The public cloud might facilitate enterprise access to machine learning services, but some business and IT teams still question exactly how and when to use the technology. Continue Reading
Advance your machine learning and AI skills
As enterprise adoption rises, IT pros need to update their skill sets and seek training for machine learning and AI in the cloud. Some admins might need to rethink their management processes, and some CIOs will struggle to identify the right business problems for machine learning to solve. Top public cloud providers offer training programs and certifications for their respective platforms, as well as foundational knowledge. There are also vendor-neutral training options from third-party vendors and universities.
Major cloud providers and third-party vendors see the need for more education related to machine learning and AI. Strengthen your skills with some of these training options. Continue Reading
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3AI services in the cloud-
Navigate cloud service options for machine learning and AI
Major cloud providers are battling for the top spot in the machine learning and AI market. Offerings such as as Amazon Machine Learning, Microsoft Cognitive Services and Google Cloud Machine Learning continue to expand to lure in enterprises. Each platform delivers a different flavor of machine learning and AI to meet the unique needs of enterprises. Break down their key features to determine which best meets your goals.
While Amazon Machine Learning makes it easy for novices to get started with the technology, those with more advanced expertise could be left wanting more -- at least, for now. Continue Reading
Microsoft Cognitive Services has over two dozen AI features, but pricing and integration can become complex. Give the services a test drive to estimate costs before you commit. Continue Reading
AWS, Azure, Google and IBM all have expansive machine learning offerings, but there are important differences to note. Take a closer look at each before you make a decision. Continue Reading
4Test your AI knowledge-
How much do you know about machine learning and AI?
Take this machine learning and AI quiz to assess how much you know about these two hot technologies.Take this quiz
Start your cloud AI journey with the right terms
Knowing the key terms related to a technology can go a long way. Build a strong foundation of knowledge with these basic machine learning and AI terms.