Artificial Intelligence & Machine Learning | Hot Cloud Storage

AI/ML projects are poised for takeoff, do you have cost-effective data storage supporting you?

Artificial intelligence (AI) is the concept of training computers to perform tasks as well as or better than humans can. 

Machine learning (ML) is essentially a type of AI that uses algorithms to “learn” from a set of data and draw conclusions or make predictions from it – without the need for humans to write code that helps it along.

It takes huge amounts of data to “train” AI and ML applications to get meaningful results. An image recognition application, for example, needs to see “hundreds of thousands, even millions of images” before it can perform reliably, according to the GPU hardware provider NVDIA. 

Given those sort of requirements, without a cost-effective data storage strategy, AI and ML projects may never get off the ground. Wasabi offers just such a strategy, at costs of only a fraction of alternatives including AWS S3, Azure Blob Storage and Google Cloud Platform’s Cloud Storage.

AI/ML: Full of promise and challenges

AI/ML applications, along with the fast-rising technique of “deep learning,” hold tremendous promise in practically any industry. Whether it’s parsing the human genome to find the most effective drug for a specific patient, fine-tuning operations in a manufacturing plant to save time and resources, or performing predictive maintenance on all manner of machines, these technologies are poised to help organizations extract great value from their data.

And the time is right for AI/ML projects to take off. Increasing amounts of computing power are now readily available from graphics processing units (GPUs), both on-premises and in the cloud. Advances in sensor technology, such as for Internet of Things (IoT)

But this very same data presents challenges when it comes to storage.

 AI/ML projects can be pricey undertakings, from the tools required (hardware, software, custom code) to the required expertise, which can be even harder to come by. (Indeed.com has nearly 10,000 open AI-related

25,000 for

ML.

That’s where Wasabi comes in. With prices that are 80% less expensive than AWS S3, and performance that’s up 6x faster, Wasabi hot cloud storage is the perfect fit for AI/ML applications. What’s more, Wasabi is secure, infinitely scalable and highly reliable, delivering eleven nines (99.999999999%) of object durability over a given year.

Price

You need lots of data to fuel AI/ML projects; don’t spend 5x more to store it than you have to.

Performance

Up to 6x faster performance means more time modeling and less time waiting for your data.

Protection

Protect data objects from loss with the cloud’s first immutable data storage, with 11 nines durability – you’ll never lose a file again.

‘The New Possible’ Series: Artificial Intelligence

Check out this episode of The New Possible webinar series to learn more about how your organization can benefit from AI. You’ll hear from industry experts and visionaries including Ted Dunning of MapR, Nima Negahban of Kinetica, and Marty Falaro of Wasabi.

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Sample Industry Use Cases for AI/ML

Life Sciences
Whether it’s mining data from human genome sequencing, examining X-ray, CT and MRI images, predicting patient issues and outcomes or developing new drugs, there’s no shortage of AI/ML applications in the healthcare and life sciences industry.

Energy
Predictive maintenance for energy and utility company equipment, bringing efficiency and stability to the grid, natural resource exploration, and monitoring energy consumption behavior are just a few of the ways energy companies are applying AI/ML technology.

Law Enforcement
AI/ML solutions can help law enforcement agencies with tasks including automated video and image analysis, detecting and responding to traffic safety violations and accidents, predicting crime levels to help with resource allocation, DNA analysis, and more.

But a single human genome takes up 100 GB

With its single-tier, hot cloud storage approach, Wasabi provides the answer. All customer data is always readily available, at prices more than four times less than competing cloud storage solutions like AWS. What’s more, it’s highly secure, as all Wasabi data is encrypted, enabling providers to comply with federal HIPAA (Health Insurance Portability and Accountability Act) and HITECH (Health Information Technology for Economic and Clinical Health Act) regulations. And it’s infinitely scalable, able to handle data from as many patients as needed.

This is just one example of how the Industrial Internet of Things (IIoT) is enabling companies to improve performance while saving money. But it’s only possible if AI/ML applications have vast amounts of historical data to examine. Consider that a twin-engine Boeing 737 aircraft generates 333 GB of data per minute per engine. An IoT-ready oil and gas drilling rig produces 7 to 8 TB of operational data a day. Connected automobiles can generate more than 1 PB of operational data each day.

The issue then becomes how best to securely and cost-effectively store that data, which is where Wasabi comes in. At a cost of one-fifth that of competitors like AWS, and with speeds up to 6x faster, Wasabi is a high-performance, affordable alternative to both premises-based storage and first generation cloud providers. And Wasabi’s policy of encrypting data both at rest and in transit ensures that data is always protected.

With more and more departments outfitting officers with body cams, the amount of data law enforcement is producing is growing by leaps and bounds. Nearly all large law enforcement agencies (250+ officers) have either already bought or are studying the use of body cams, according to a study by the Police Executive Research Forum.

About two-thirds of the large agencies surveyed are turning to the cloud to store all that data. Wasabi hot cloud storage can store data at 80% less than the cost of competitors like AWS. Because it’s a single-tier platform, data is always accessible whenever it may be needed for analysis, at speeds up to 6x faster than AWS S3. And it’s encrypted both at rest and in motion, providing the kind of security law enforcement demands.

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C.C. 0.0 - Published in collaboration with Wasabi - in collaboration with its Cloud Service Provider Partner Engineeo Global Ventures. Courtesy of: 

Laurie Mitchell | Senior Director Partner Marketing