Data latency is the time delay that occurs between when a request is made and when it is received or fulfilled. It is measured from the moment when a user sends a request for data to the moment when the response is received. Data latency can be affected by network speed, the distance between two nodes, or the amount of traffic on a network.

A Shryne archive holds every type of data you’ve exchanged with someone.
Everything is organized in a single chronological feed, so you can easily read,
search, and edit your history. With Shryne, you can archive your personal interactions, access all the data later, and get the big picture with personal analytics. Shryne syncs to the services that you use and brings it all together into one feed that you can filter through.

Zerolatency develops a new breed of technologies to provide  network visibility and universal latency monitoring. 

Today we rely more and more on information exchanged almost instantaneously but we don’t have an easy way to measure the data latency.
Zerolatency introduces TimePack, a new technology which blends information and time/location in the same data packet, improving network monitoring (more efficient, cost effective and interoperable) and creating a new ecosystem of latency aware network/applications (codecs, sensor networks, IoT).
The IT market is looking for visibility on the network without sacrificing simplification and interoperability, this method works on physical and cloud infrastructures in a transparent way and totally compliant with the existing standards.
It is a very efficient technology because it does not generate any extra traffic, it does not need event correlation, it can be applied on every device traversed by the information packet and it can be analysed by any existing product.

We consider this technology a game-changer and we cannot fully estimate the impact on all fields where it could be applied, for example we can see an interesting application on power grid outage monitoring   but we should really speak with microwave network providers to assess its feasibility.

Today they rely more and more on information exchanged almost instantaneously but they don’t have an easy way to measure the data latency.
Zerolatency introduces TimePack, a new technology which blends information and time/location in the same data packet, improving network monitoring (more efficient, cost effective and interoperable) and creating a new ecosystem of latency aware network/applications (codecs, sensor networks, IoT).
The IT market is looking for visibility on the network without sacrificing simplification and interoperability, this method works on physical and cloud infrastructures in a transparent way and totally compliant with the existing standards.
It is a very efficient technology because it does not generate any extra traffic, it does not need event correlation, it can be applied on every device traversed by the information packet and it can be analyzed by any existing product.
This innovation opens the network/data delivery monitoring to any IT business and makes possible a proficuous collaboration between content provider and infrastructure services centred on data quality.
They consider this technology a game-changer and they cannot fully estimate the impact on all fields where it could be applied, for example they can see an interesting application on power grid outage monitoring but they should really speak with microwave network providers to assess its feasibility.
A similar consideration could be done for natural disasters sensor network, where a fraction of second could save many lives activating for example emergency generators or circuit breakers pre-emptively before the seismic wave will hit a certain area.

As of may 25, 2018, the legislation related to the management of personal data changed and the general data protection regulation, GDPR, is mandatory. The personal data (name, e-mail address) required to ask their questions will only be used to answer the given question. We will not store your data later .

Matic is really the best web developer i ever meet. a lot of own ideas, very efficient, never late on a schedule and his only reply to all of our changes was: 'no problem' he has a great passion for developing applications, particularly interested in back end development and relational database design. Also highly interested in machine learning, including data mining .

Trademo collects public and private data on global trade transactions, sanctioned parties, trade tariffs, ESG and other events using its proprietary algorithms. The company's vision is to build a single truth on global supply chains to help large and small businesses - discover new commerce opportunities .

Yorkshire housing is a social landlord with 18,000 properties in the yorkshire and humber region. They required remote monitoring and automated Feed-in-Tariff submissions for their existing solar PV installations. Challenges Carrying out a total of 181 meter exchanges to be completed over a 10-week period, whilst causing minimum disruption to the tenants .

WGSN is the global authority on change, using expert trend forecasting combined with data science to help you get ahead of the right trends. We do this through consumer insight, product design direction and trading strategies so you can create sustainably. 90%+ forecasting accuracy Make smarter investments with accurate AI-powered forecasts .

Divfex Berhad began business as a leading service provider of integrated business solutions in the SAP environment. The group has a total staff force of more 90 staff in technology solutioning. IVend Data Sdn Bhd was incorporated in 1997 as national (Malaysian) implementation partner for SAP software solutions .

Kinase inhibitor drug that was initially discovered and developed by Nerviano. Entrectinib is highly active against tumors with rearranged forms of either one of the three kinsases called ALK, ROS, and TRK. The drug has received approval for marketing and reimbursement from the italian drug agency AIFA in two oncology indications.

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