Good Contents Are Everywhere, But Here, We Deliver The Best of The Best.Please Hold on!
Your address will show here +12 34 56 78
Need to move large datasets for Big Data, IoT, and ML/AI adversely impacts application performance and storage/networking/server costs, according to a recent survey from NGD Systems and G2M Research.

 

Irvine, Calif. – December 12, 2017:

 

G2M Research, an analyst firm covering the Non-Volatile Memory Express® (NVMe) marketplace, today released the results of its recent survey on the need for “Intelligence storage” for applications with large data sets. The survey, sponsored by NGD Systems, was conducted across 112 respondents from organizations involved in Big Data, artificial intelligence/machine learning, and Internet of Things (IoT) applications.

 

The purpose of the study was to gauge whether the movement of large data sets across existing processing and storage architectures negatively impacts the cost and usability of the data by applications. The results of the survey show that existing compute and storage architectures adversely impact the performance and cost of these applications, and that new architectures are needed if these applications are to continue to scale in size and capabilities.

 

“Datasets for applications such as Big Data, AI/ML, and IoT continue to grow at an exponential rate,” said Mike Heumann, Managing Partner, G2M Research. “Our research study shows that the majority of users in these application spaces are very concerned about how this growth will impact their ability to use these applications over the next 12 months. The majority of these end-users also believe that new approaches like processing data within storage devices will be necessary to overcome existing data movement bottlenecks.”

 

The movement of very large data stores is increasingly critical for real-time analytics in a variety of applications. However, this data movement is not without cost or impact. The key findings of the survey include the following:

 

1.    52% of respondents consider the movement of large data stores between storage systems, storage devices, and servers will be a significant problem for their organization either today or within the next 12 months.

 

2.    92% of respondents expect that data movement will adversely impact their organization, with 62% responding that it will impact server, networking, or storage costs, 48% saying it will impact application performance, and 29% saying it will limit the way data can be used.

 

3.    Over 79% of respondents believe that current processing/storage architectures will not be able to handle the amount of data in their industry in the next 5 years.

 

4.    64% of respondents believe that processing or preprocessing data inside storage systems/devices could help solve the data movement problem.

 

G2M Research has produced a report and infographic summarizing the data from the survey, which is available at http://g2minc.com/research.

 

“As the capacity of SSD drives and the number of SSDs within servers continue to increase, moving the data out of these drives into the CPUs will be become exponentially harder and more cumbersome” said Nader Salessi, President and CEO of NGD Systems. “The G2M Research survey clearly illustrates the issues that large data sets present to application architects for Big Data, IoT, and AI/ML, among others. In-situ processing like that of the NGD Systems Catalina 2 SSD provide a compelling alternative to moving large amounts of data between storage systems, storage devices, and servers/CPU complexes.”

 

One of the most promising concepts to address the storage-CPU bottleneck is the use of in-situ processing within storage devices. In-situ processing revolutionizes the deployment of a variety of applications that today require huge clusters of expensive multi-socket servers with large amounts of RAM. By significantly reducing the amount of data that has to be moved between storage systems/devices and servers/CPUs/GPUs, in-situ processing within NVMe flash solid-state drives (SSDs) can significantly reduce network size/complexity, CPU/GPU workload, and power consumption for applications utilizing high number of IOs.

 

NGD’s Catalina II NVMe SSD enables the capability of in-situ processing, and is the first product to help reset the CPU/GPU-storage gap and improve the data center TCOs. NGD’s NVMe SSDs also has the industry’s highest capacities and lowest power per TB (W/TB).

_____________

Source: http://www.ngdsystems.com/pr_20171212.html

0

The following was announced by Guy Yehiav, CEO of BGV II portfolio company Profitect, on December 7, 2017:

‘Profitect was voted #1 by customers in the “OSCARS” of retail tech – the RIS Software LeaderBoard. Profitect is singled out in the just published report as a Leader in 19 categories; #1 in 3 categories as top performer against some real technology giants. So proud of the Profitect team and appreciate the validation of our Patterns of behavior, Machine Learning & AI technology and kudos from our customers. Great start of the holiday season!’ Full report here: http://growprof.it/LeaderBoard17

0

Post written by Gabby Nizri, Co-Founder and CEO at Ayehu Inc.

Since the industrial revolution, business leaders have been leveraging technology to augment human workers with the goal of maximizing efficiency and productivity while simultaneously cutting costs. Now, thanks to the recent tidal wave of intelligent technology advancement, we have suddenly found ourselves staring down the barrel of a workplace that looks quite different than the one we have become used to.
What do automation, machine learning and artificial intelligence (AI) mean for tomorrow’s workforce? Will AI eliminate the need for human workers altogether? The reality isn’t quite so cut and dry. In fact, the future of work will likely be a hybrid that involves both human and machine intelligence working in conjunction toward the same shared goals. Let’s explore this in a little more detail. Redefining The Way We Work The basic concept behind automation hasn’t changed all that much over the past century or so. When menial tasks can be shifted from human employees to robots, work can be completed faster and without the risk of human error. This dramatically improves efficiency levels, which means a better bottom line for an organization as a whole. And because the output of quality of work increases, service levels also receive a boost, so in theory, everybody wins. However, automation powered by artificial intelligence has taken this basic concept and brought it to an entirely new level. Now, it’s not just about programming a machine to perform simple tasks; rather, it’s about relying on technology that is intuitive enough to adapt and improve without the need for human input. Take chatbots, for example. This technology is capable of using the data gathered over time from incoming customer inquiries to continuously develop a robust catalog of answers. In other words, the more it’s used, the smarter it becomes. A New Realm Of Possibilities Automation will inevitably lead to redundancy in certain roles. It’s only logical to assume that if software robots are capable of performing the majority of a lower-skilled employee’s tasks, it’s a much more economical business decision to shift those duties to technology, subsequently making certain roles obsolete. This doesn’t necessarily mean, however, that we’re doomed to a future of humanless offices. The truth is that while automation may eliminate some jobs, it also creates new roles and opportunities for human workers to pursue. It’s also important to point out that as far as intelligent automation has come, there are still certain areas where the human touch cannot be replaced or replicated. For instance, a chatbot can be programmed to perform basic customer support, but it is not capable of managing complex situations. Likewise, intelligent automation can be highly effective in identifying ideal candidates for a job opening, but the actual hiring process is still a human-centric function.
Humans And Machines: A Match Made In Heaven Ideally, the best way to approach the adoption of artificial intelligence in the workplace is to view it from a more holistic perspective. Rather than machines and humans working independently, the two should be working in tandem toward the greater good of an organization. For example, process automation can be leveraged to handle the majority of the mundane, repetitive IT tasks while seamlessly transferring more complex issues to human workers. AI can also be highly effective in helping business leaders make smarter, more data-driven decisions. Machines handle the data mining process, identifying, extracting and organizing the most relevant information available. Executives can then use this information to more accurately project and plan for the future. This facilitates greater innovation, which means those enterprises who adopt AI will lead the charge in their respective fields.
A New Definition Of Work
As artificial intelligence continues to evolve and improve, the very definition of what we consider to be mundane or routine will also continue to change. With smarter technology, more and more tasks will be shifted to machines. In fact, according to a recent report from Gartner, smart machines and robots could take over the tasks performed by highly trained professionals in such fields as IT, medicine and law by 2022. But that doesn’t necessarily mean certain unemployment for those individuals working on the front lines. To the contrary, according to one study conducted by ServiceNow, 79% of executives surveyed say they expect an increase in the adoption of automation to lead to the creation of new jobs. Furthermore, an incredible 94% agreed that when repetitive tasks are automated, the demand for jobs that call for soft skills like communication, collaboration and creative problem-solving will grow. Ultimately, it’s the way human workers approach this technology that will determine what tomorrow will bring. For those who choose to embrace artificial intelligence and all of the opportunities it presents, the future certainly looks bright.
Source: https://www.forbes.com/sites/forbestechcouncil/2017/08/17/shaping-the-future-of-work-a-collaboration-of-humans-and-ai/#5e0798e547b7
0

IdentityMind, a a BGV portfolio company, won the Crowd Favorite award at FinDEVr London 2017 last week. CMO Jose Caldera and CTO Kieran Sherlock presented the Identity Mind’s new product, IdentityLink API: “The IdentityLink API takes the entity graph’s ability to uncover complex risk an money laundering scenarios, and delivers it through an easy to use Rest API. The result is that companies can layer the IdentityLink API on their current risk and compliance investments, and still get the advanced power of machine learning and big data analysis to identify the correlations between a digital entity’s identity attributes, transactions and behaviors.” (David Andrews for IdentityMind)

Congratulations on the well deserved award!

More on IdentityMind at FinDEVr London 2017 here.

0