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Veritone 2018 Predictions: AI Needs to be Available Wherever the Data is Located

VMblog Predictions 2018

Industry executives and experts share their predictions for 2018.  Read them in this 10th annual VMblog.com series exclusive.

Contributed by Tyler Schulze, vice president and general manager, Veritone

AI needs to be available wherever the data is located

Five years ago there were no cognitive engines as we define them today, but the artificial intelligence (AI) industry is constantly growing and poised to improve and expand even more in 2018 and beyond. This is because institutions and organizations recognize the necessity of analyzing unstructured data at scale in near real-time. Unfortunately, the current landscape of artificial intelligence solutions can be expensive, skill-intensive and difficult to implement. Such solutions also tend to be siloed, extremely narrow in their application, and challenged in their ability to deliver real value. As a result, the power of AI is largely inaccessible to most organizations.

This will change (and soon) because we predict that AI prove itself through business application and will meet industries wherever they are: in the cloud or on-premise.

First, AI needs to prove itself and lend credibility to its work

Take for example, AWS. Currently, it's enabling scalable, flexible and cost-effective solutions for startups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the AWS Partner Competency Program to help customers identify Consulting and Technology APN Partners with deep industry experience and expertise. As AWS claims, "Out of all of the innovations that are being driven by cloud, the areas of artificial intelligence (AI) and machine learning (ML) are perhaps the most exciting." In order for AI companies to tap into some of that excitement, they need to prove themselves with something noteable like the designation that AWS provides.

Then, cognition has to be available wherever the data is located.

Many major companies today are in various stages of cloud migration: Some are still transferring data to the cloud, others are mobilizing to different clouds at once; and some, are going back to on-premise solutions. The challenge for the AI industry is that it will need to be versatile enough to be able to analyze the data wherever it's located. As a result, customers who have made significant investments in on-premise storage, and/or have cost or security concerns about storing their content in the cloud, will be able to take advantage of the business applications that artificial intelligence offers.

The future of business application is found in AI

AI deployments can help augment the daily and tedious roles of the modern workforce, democratize services that were originally costly or unavailable and tap into the wealth of unstructured data for actionable use because now, every frame of video or second of audio can be searched for objects, faces, voices, brands, sentiment, text and more. The speed at which AI can tackle the previous tactics of manual discovery open a world of opportunity via human-machine thinking partnerships.

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About the Author

Tyler Schulze 

Tyler Schulze is vice president & general manager of the Veritone Partner Ecosystem, serving cognitive engine developers, application developers, and data providers. His mission is to build and grow a vibrant partner community by extending Veritone's aiWARE platform via easy-to-use tools, APIs, and development applications by tracking and engage with over 5,500 Artificial Intelligence and Machine Learning companies around the world, seeking mutually beneficial opportunities to further expand the breadth of cognition available to clients in media, politics, legal eDiscovery, compliance, federal and international governments, public safety/law enforcement sectors to name only a few. 

Published Wednesday, December 06, 2017 7:28 AM by David Marshall
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