Traffic congestion in urban areas is a major challenge and the leading cause for the loss of productivity, rapid increase in fuel consumption, and air and sound pollution. The best way to combat this problem is to improve performance measurements for seamless traffic flow, reduce congestion, and efficiently manage current roadway assets. Coordinated traffic signals and variable-messages are used in reducing traffic congestion.
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The client is an European mobile services provider. The client wanted to analyze the transport demand-supply in order to optimize the routes. The client's present transportation system was not accurate while predicting future network scenarios. The key challenges of the client included-
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NIH launches analytics platform to harness nationwide COVID-19 patient data to speed treatments |
Get the latest public health information from CDC: https://www.coronavirus.gov
Get the latest research information from NIH: https://www.nih.gov/coronavirus
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The N3C is funded by the National Center for Advancing Translational Sciences (NCATS) , part of NIH. The initiative will create an analytics platform to systematically collect clinical, laboratory and diagnostic data from health care provider organizations nationwide.
Having access to a centralized enclave of this magnitude will help researchers and health care providers answer clinically important questions they previously could not, such as, "Can we predict who might need dialysis because of kidney failure?" or "Who might need to be on a ventilator because of lung failure?" and "Are there different patient responses to coronavirus infection that require distinct therapies?"
Big xyt Readies New Liquidity & Trade Analytics Tools - WatersTechnology.com
Data and analytics provider Big xyt has developed three new tools to help clients perform pre- and post-trade liquidity and trading analysis. The offerings aim to help investors assess the time required to liquidate positions, the best venues to execute those trades on, and find price disparities that may signify erroneous data or other factors affecting a price.
Mark Montgomery, head of strategy and business development at Big xyt, says some of these tools are currently being tested.
In case you are keeping track:
SAS and Microsoft Partner to Further Shape the Future of Analytics and AI
CARY, N.C. and REDMOND, Wash., June 15, 2020 — Microsoft Corp. and SAS today announced an extensive technology and go-to-market strategic partnership. The two companies will enable to easily run their SAS workloads in the cloud, expanding their business solutions and unlocking critical value from their digital transformation initiatives.
"Through this partnership, Microsoft and SAS will help our customers accelerate growth and find new ways to drive innovation with a broad set of SAS Analytics offerings on Microsoft Azure," said Scott Guthrie, Microsoft Executive Vice President of Cloud and AI.
Clinical Data Analytics Market Applications, Size Estimation, Growth Insights, Emerging Trends
The global clinical data analytics market has been segmented into deployment model, application, and end user.
Based on the deployment model, the clinical data analytics market has been segmented into on-premise and cloud-based. The on-premise segment accounted for a market value of USD 2356.2 million in 2016.
Based on application, the clinical data analytics market has been segregated into precision health, clinical decision support, quality care, population health management, and reporting & compliance.
Global Network Traffic Analytics Market to 2028 and the Advent of 5G Technology -
The global network traffic analytics market is predicted to grow at a CAGR of 23.05% over the forthcoming period 2019-2028. The growing need for uninterrupted visibility into the network is estimated to be the main factor driving the growth of the global network traffic analytics market. The increasing concern with respect to cybersecurity and the resultant regulations are other drivers of the global market growth.
However, the easy availability of open-source network traffic analytics solutions is restricting the market growth. Lack of skilled professionals is also a major challenge to the market. Key opportunities like the emerging IoT connections and the rising cybersecurity budget must be leveraged to reach the projected growth.
In-Memory Analytics Market Worth $10.85 Billion, Globally, by 2027 at 24.4% CAGR: Verified Market
The increased implementation of Real-Time Analytics to track the digital transformation and the latest technological advancements in in-memory analytics and processing vast volumes of data will foster market growth
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This report provides detailed analysis of the growth trends among each of the segments as well as accurate forecasts in terms of the value and volume.
The latest technological advancements in in-memory analytics and processing vast volumes of data will foster market growth. The in-memory processing is the next game-changer in data analytics and Business Intelligence (BI). With companies dealing with terabytes of data, it is crucial to invest in technology that can quickly process large data sets. In-memory processing is the processing of data using RAM or flash memory.
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