How AI and Deep Learning Are Improving Online Shopping - NetApp Certification

Retailers use artificial intelligence (AI) to look at product images and information about what customers are browsing in real time, along with their previous buying patterns, to make accurate and personalized recommendations. AI also allows retailers to use dynamic pricing that is adjusted to make sales based on the customer’s location, characteristics, and habit. For example, even after a purchase is made, AI can offer accessories, warranties, and other logically related items.  Al helps marketers understand the behaviors of their audience and analyze marketing placement to make certain that ads and campaigns are effective and are served appropriately.

AI is making online shopping even easier. Zalando (shoes and fashion), Pinterest (recipes and home ideas), and Omnious (fashion) speed up shopping with AI. Online retailer Zalando uses deep learning and GPUs in its extremely efficient Optimal Cart Pick algorithm. Pinterest uses AI to streamline its shoppers’ “pin” searches and identify best matches. Omnious has engineered an AI-driven, automated tagging engine that tags fashion images 100% faster than humans can.

Jet.com (e-commerce), Modiface (beauty apps), and Olay (skin care) use AI to empower savvy shopping. With AI optimizing suppliers, warehouses, and offers, Jet.com can fulfill orders at the best prices possible. Modiface combines AI and modeling technology to let customers experiment virtually with makeup before buying. Olay has created an AI-powered tool to help customers find the perfect products for their skin types.

Criteo (internet advertising), a British grocery giant, and KLM (airline) use AI to generate positive shopping experiences. With Criteo’s AI-based predictive data analytics, $55 billion is produced by online ads that target shoppers with products they want. A British grocery giant developed an AI-optimized warehouse that perfects and streamlines customer orders, and KLM engages in 15K weekly social media conversations with the help of DigitalGenius’ AI technology.

NetApp, the data authority for hybrid cloud, and NVIDIA, the leader in compute for AI, are enhancing the retail industry in innovative ways to transform shopping into a faster, smarter, and more rewarding experience. Learn how data visionaries and online merchants are joining forces with NetApp and NVIDIA to apply AI and deep learning to overcome countless business-critical retail shopping challenges.

Our experts say about NetApp Certification Exams

Accelerate Your Oracle and MongoDB Databases with MAX Data

MAX Data does this how? MAX Data is software that runs on the application server and provides a file system that spans the PMEM and the storage tier. Applications stored on this filesystem get instant access to the data for both reads and writes. With MAX Data, you get vastly improved application performance with high throughput and ultra-low latency.

A new evolution of flash storage and a new class of memory is promising to change how applications access data, and NetApp MAX Data will enable and accelerate adoption of this exciting new technology.

This is critical because real time data requirements are increasing the load on applications and associated infrastructure. Our customers want to get the most out of their data; Response times and low latency are key attributes for an agile enterprise and the volume of data collected by organizations is growing exponentially.

Accelerate Your Business

With this huge explosion of data, companies are struggling to meet expectations across all application tiers due to slow, unpredictable data access impacting their customers, their IT staff, and their business.  Upgrading to flash solve many performance challenges, but there are still customers looking to save tens to hundreds of microseconds especially when the gain is in the hundreds of thousands of dollars per microsecond (like in trading or retail solutions). Other vendors offer flash performance, but in silos, often without integrated data management, protection, efficiency and availability. While some improvements are noted, IT staff still wants and needs to bring their applications to the next level of performance and quality of service while reducing costs.

Oracle

Our early results show that you can get 60% more IOPS with four times less latency for your Oracle workloads. Another way to look at this would be to consider getting the same throughput using 40% fewer servers while still seeing four times lower latency. Your applications will also gain data persistency and enterprise-grade data services, making this a completely viable solution to enterprise applications.

MongoDB

The graphic below shows the power of MAX Data running in a MongoDB environment. This test shows results using a workload generator to query 7,000 documents 10,000 times in a MongoDB database. Each time, the query was randomly reading from a different range of 7,000 documents. This example can be viewed as mimicking a website like Reddit, where one subject can have thousands of threads and threads can have hundreds of comments.

Success Secrets: How you can Pass NetApp Certification Exams in first attempt

Speed is the New Scale – NetApp AFF Outperforms Competition

Those who know me well, know that I thrive on competition and love to win.  And I get a thrill when the work we do at NetApp puts us on top. In the newly published SPEC SFS2014 SWBUILD benchmark testing, AFF A800, the industry’s first all-NVMe flash storage system inside and out, delivered mind-blowing performance landing the #1 spot on the chart! It produced 4200 SPEC SFS2014 SWBUILD (software) BUILDS with an Overall Response Time (ORT) of 780µs. This is nearly 3 times the performance of the nearest contender, leaving our competition completely in the dust.

INDUSTRY-LEADING PERFORMANCE WITHOUT COMPROMISES

The SPEC benchmark validates that AFF is the industry’s fastest all-flash system for scale-out NAS environments where a high file-count is required, such as build farms, render farms, EDA etc. Better yet, these results were achieved with inline storage efficiency technologies such as compression and deduplication turned on by default. It demonstrates the simplicity and efficiency of the ONTAP FlexGroup feature that was at core of the result. This benchmark is yet another proof point for our AFF system, which delivered outstanding SPC-1 benchmark results with 2.4M SPC-1 IOPS at 590µs SPC-1 IOPS Response Time just three months ago.

SUPERIOR PERFORMANCE IN THE MIDRANGE

The performance story does not stop with the A800. The midrange AFF A300 recently won the Editor’s Choice Award from StorageReview, which bestows this award for “performance in excess of competitive offerings, a feature set that is innovative and sets a new bar for competitive offerings or for defining a new category or space within enterprise IT”. Through Storage Review’s independent testing with Oracle, SQL, VDI workloads, AFF A300 stands out with its impressive performance and feature set.

WE’RE SO CONFIDENT IN OUR PERFORMANCE WE GUARANTEE IT

Gaining industry recognition is an honor, but to assure you AFF will deliver superior performance in any unique IT environment, we have something to put your mind completely at ease. We don’t just claim high performance, we guarantee it! We guarantee consistent low latency of 500µs for AFF A800 for all kinds of workloads in your environment. Similar guarantees are also provided for other models in the AFF portfolio, A300, A700 and A700s.

With industry’s most powerful AFF A-Series all-flash systems we are helping our customers take on the challenge with performance that completely changes the name of the game. Ultra-high performance translates to massive scale, which is the key to success in today’s digital transformation. You can completely change the way IT supports your business and unleash the power of your data with AFF all-flash systems. This means you can support the most demanding applications such as AI, ML and real-time analytics, and others that may not even be possible before on the one hand. On the other hand, you can consolidate more and more applications on fewer storage systems, leading to dramatically smaller storage footprint, less power consumption, and reduced IT support cost associated with performance tuning.