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Zinier 2020 Predictions: Automation Gets Smarter and Easier in 2020

VMblog Predictions 2020 

Industry executives and experts share their predictions for 2020.  Read them in this 12th annual series exclusive.

By Girish Mysore, CTO, Zinier

Automation Gets Smarter and Easier in 2020

Conversations around artificial intelligence have dominated the tech industry for the past few years. This focus won't change in 2020, but AI and automation will evolve in a few ways that may seem small, but will have a big impact on how the technology will be used in the long term. AI will be reshaped by the rise of small data sets, contextual learning, advanced automation and the trend of algorithms being sold instead of apps. Ultimately, these changes will make AI and automation easier to leverage and more valuable to end users. 
  • Small data gets big - Going forward, we'll no longer require massive big data sets to train AI algorithms. In the past, data scientists have always needed large amounts of data to perform accurate inferences with AI models. Advances in AI are allowing us to achieve similar results with far less data. 
  • Rise of contextual learning - AI will gain significant contextual learning capabilities in 2020. Consider a common AI use case like surveillance analytics. Today, AI can readily identify a person's face, a license plate, landmarks, etc. But it has trouble placing that information in its given context. For example, is there an altercation occurring? Is a car swerving between lanes and the driver impaired? Does a building need repairs? Vendors will be focused on providing such contextual learning capabilities to achieve smarter AI and deliver greater value.
  • Automation finally gets automatic - Automation at its core is still very manual. Most automation is simply derived from a manual process, such as automatic software commands. True automation means embedding real intelligence. That is, building systems that can actually make complex decisions rather than simply following pre-defined instructions based on input data. AI will gain more of this intelligence and become truly automatic.
  • Algorithms over apps - In 2020, companies will focus less on shipping traditional applications and focus more on selling AI use cases. They'll offer customers AI models for a specific use case (i.e. diagnosing repair needs in 5G infrastructure) and separate models for a different use case (i.e. determining when oil and gas infrastructure needs to be retired). Organizations will rely less on one-size-fits-all apps and instead leverage highly specialized models for custom use cases, which will ultimately deliver better results.

AI is already transforming entire industries, but some challenges have slowed adoption in certain instances. These trends will mitigate those challenges and accelerate the transition to a truly automated, AI-driven world.


About the Author

Girish Mysore 

Girish is a technology evangelist and inventor with a bachelor's degree in computer science and an MBA from the Chicago Booth School of Business. An accomplished software professional, Girish has over 20 years of industry experience focusing on product research and development, new product strategy and execution, and project management.

Published Thursday, December 12, 2019 7:43 AM by David Marshall
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