Blogs
NGD’s official blog that discusses our Product Design, Hardware architecture and Common Problems on the data industry.
Tech Trend #5- Augmented Analytics- Horse and Buggy Stage but Prospects for Automation Look Good
Tech trend #5 in our series on corporate data management and digital transformation, is augmented analytics
Blockchains is Tech Trend #4- In the Market for a Used Airplane Part?
Blockchains is #4 on our list of tech trends that are at the forefront of corporate data management and digital transformation. A blockchain is a “time-stamped series of immutable record of data that is managed by cluster of computers not owned by a single entity.” Each block of data is secured using cryptographic principles. Originally designed as online currency, this technology has applications for prediction markets, file storage, and supply chain auditing.
Tech Trend #3 Autonomous Devices: Agriculture Needs Techies
Tech trends of 2019 all point to data management and digital transformation as hot topics. Autonomous Devices is #3 on the list and refer to devices that are aware of their surroundings and make decisions based on the data environment. This is real-time data analytics in action! From self-driving cars to smart thermostats, and advanced robotics to customized farming practices.
When It Comes to Product Launches, Why do the Marketing Guys Have All the Fun?
It always seems like the marketing guys have all the fun when it comes to product launches. They get to write press releases (OK, they can have that part!), do interviews with press and analysts, host launch events, and make up cool collateral .
Today Marks the Birth of Some Big Capabilities in a Very Small Package
The Newport M.2 Computational Storage SSD is the second Newport Computational Storage SSD product to be launched by NGD Systems, and follows our U.2 NVMe SSD which we launched last year.
Tech Trend #2 - Artificial Intelligence, or Making a Reservation in your Best Human-like Voice?
As we stated in our last blog, the tech trends of 2019 all point to data management and digital transformation. The second trend is Artificial Intelligence (AI), which refers to using machines to mimic the cognitive functions of human learning and reasoning.
Nine Tech Trends and the 5G Debate
Tech trends of 2019 all point to data management and digital transformation.
Even Mosquitoes Sort First
Do you tend to get mosquito bites all over you or does the person next to you, and you are the lucky one to avoid them? Did you know that it is not random that some people get bit and others do not? Mosquitoes are actually fairly picky! Mosquitoes don’t taste each person and then settle on a favorite.
Real-Time Data Analytics Saves Lives
Computational Storage is a means to manage data without moving all data at once, but instead sort and focus on the relevant data via in-situ processing. The amount of data moved to memory is a manageable sub-set of the entire dataset which increases processing speed
The Evolution of Data and Technology, OCTANe TIF Part 2
NGD Systems will be attending the OCTANe Technology Innovation Forum (TIF) on May 13 and 14. Two things jump out of their stated objective- to focus on the evolution of data and technology as
Innovation, Part 1
OCTANe connects people, resources and capital in the Southern California technology ecosystem, with the goal of creating 55,000 high paying technology jobs in the region by 2030. NGD Systems will be attending the OCTANe
Edge Computing’s Need for Computational Storage, Part 2
Our last blog discussed why computational storage was a good fit for edge computing from a power, cooling, and space perspective. If putting the right amount of compute power and storage into a small space
Edge Computing’s Need for Computational Storage
Before we explore how edge computing can benefit from computational storage, it is worth defining what edge computing is. Edge computing is an approach that places computational resources close to where data is generated. Edge
Big Data: Collect it All, Sort it Later?
Technology industry analyst Charles Araujo best summarizes the early approach to big data as “Collect it all, sort it out later”. The focus was (and has continued to be for many companies) a competition