Video content will become richer and more data-intensive as it evolves from HD to 4K to 360° and even 8K. Companies are moving these visual workloads to the cloud and edge in order to keep up with capacity, growth and service demands. With the emergence of edge computing and cloudified, 5G networks, organizations have an ...continue reading Bringing Media Analytics into View
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Training an effective deep neural network is one thing, but deploying it in a way that keeps up with customer demand and is both performant and cost-efficient is hard. We’ve combined a heavily optimized software stack with deep learning-enabled hardware to fix that. There’s an exciting change in the mix of problems that machine learning ...continue reading Growing Pains: Scaling Deep Learning Inference
Looking back over the last 20 to 30 years of channel evolution, one of the things that amazes me is IT distributors’ ability to quickly respond to market trends and boldly step into totally new roles. How did this happen? In the early 2000s, distribution companies drove growth by buying their direct competitors. Then they ...continue reading Distribution 2020: New Roles, Blurred Lines!
There’s a lot of talk about shifts in the ecosystem that are creating new partnership opportunities to deliver the innovative solutions our customers need. We’re witnessing an increasing number of collaborative projects that bring together unexpected partnerships to pull in the expertise needed to innovate. There’s no doubt that to be successful in today’s world, ...continue reading Convergence Coming Soon to a Project Near You
Cloud computing helps democratize High Performance Computing (HPC) by placing powerful computational capabilities in the hands of more researchers, engineers, and organizations who may lack access to sufficient on-premises infrastructure. The cloud’s flexibility and scalability offer virtually unlimited capacity, eliminating wait times and long job queues. Access to new and evolving services and applications make ...continue reading Challenging the Barriers to High Performance Computing in the Cloud
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For companies engaged in oil and gas exploration, getting fast access to high resolution data is an important enabler for finding the right locations to drill a well before their competitors. Kinetica offers a proven solution for interacting with …
How does a major technology services company equip itself to compete in the digital age – and provide services so outstanding that they can significantly advance the business prospects of their customers? All while reducing complexity, cutting costs, and tightening SLAs – in some cases, by 10x or more? For one such company, the solution is to deliver real-time, operational analytics with Kafka and MemSQL. In this company, data flowed through several data stores, and from a relational, SQL database, into NoSQL data stores for batch query processing, and back into SQL for BI, apps, and ad hoc queries. Now, …
The post Case Study: Moving to Kafka and AI at a Major Technology Services Company appeared first on MemSQL Blog.
Running a marathon in under two hours requires shoes engineered for the task. AI is no different. Growth of data is exponential. In five years, humans & machines will produce 10x more than we did this year. And more than 70% will be created at the Edge. Only half will move to public clouds—the rest ...continue reading The Cutting Edge of AI… Everything Matters!
Hazelcast Jet 3.2 introduces stateful map, filter, and flatmap operations, which are very strong primitives. In this blog, I am going to show you how to use stateful filter for detecting and removing duplicate elements in a stream. Why Deduplication? Deduplication is often used to achieve idempotency or effectively-once delivery semantics in messaging systems. Imagine […]