LatentView Analytics is one of the world’s largest and fastest growing data analytics firms.
We help companies drive digital transformation by helping them combine digital and traditional data to gain a competitive advantage.
LatentView provides a 360-degree view of the digital consumer, enabling companies to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates and optimize investment decisions.
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IBM clients work with IBM for predictive analytics to help with information management, cost reduction and process improvement.
PredNews**** Predictive Analytics News and Modeling Trends. See also ClaudePenland****
According to a new report, “Predictive Analytics Market (2017 – 2023)”, published by KBV research, the Global Predictive Analytics Market size is expected to reach $13.8 billion by 2023, rising at a market growth of 21% CAGR during the forecast period.
The Predictive Analytics Market Competition Intelligence report provide an in-depth insight pertaining to the latest strategic developments in this arena.
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Getting in Predictive Analytics – an important technology in Business Intelligence Consulting is the sole approach to automate inventory related activities and give the stakeholders a foresight into the happenings right before it actually happens.
The predictive analytics software has the ability to enhance project data and empowers business pioneers to settle on extremely snappy vital choices.
Mainly, testing organizations follow a protracted procedure for any testing project with an end goal to reduce operational issues and expenses. In this procedure, these organizations experience numerous issues in each new project.
The need to achieve speedier to the market and remain precise however much as could reasonably be expected are two of the most basic purposes behind considering Predictive Analytics solutions in QA. How about we assess some key reasons to receive predictive analytics techniques in the QA and testing space.
Predictive analytics software open source connected in QA helps check the shopper estimation on product and applications. This makes QA considerably more clients driven and encourages the teams to address the concentration territories, for example, functional issues, compatibility issues, security issues and performance issues with the application.
Predictive analytics services can support this procedure and empower QA and testing teams. It will help groups to make a preventive move and cut down potential dangers or disappointment among buyers of the application.
Thus, this technology providing many benefits mentioned in the video helping software testing world growing.
We, at TestOrigen, also exploring new trends and soon adds in our testing techniques.
Indium gives the advanced big data services like text analytics , geo spatial analytics , data lake solutions, predictive analytics services etc... with the futuristic approach .
AI medical diagnosis mitigates common challenges and offers improved solutions, such as, image analysis, predictive analytics, rare object identification, morphology-based segmentation, and digital whole slide imaging for intelligent analysis, tissue phonemics for disease prevention, in vitro diagnostic devices, and cloud-based diagnostic analysis.
Blair Drenner speaks about BM’s investment in integration of the data and leveraging the same interface, creating a much larger return on investment. It is allowing businesses to bring together the network administrators, system administrators, database administrators into a single group, trained in the same manor/tools while deep diving into the appropriate area leveraging their area of expertise to quickly pinpoint and solve a problem instead of seeing the same issue in an environment from different vantage points and spending needless cycles working separately.
"Customers are increasingly shifting focus on cost reduction efforts; primarily around efficiency & consolidation of service management solutions. In the past, within an IT organization, there were various groups looking into the state of enterprise resources with different tools, different interfaces and separate data stores. IBM’s investment in integration of the data and leveraging the same interface creates a much larger return on investment for our clients. It is allowing businesses to bring together the network administrators, system administrators, database administrators into a single group, trained in the same manor/tools while deep diving into the appropriate area leveraging their area of expertise to quickly pinpoint and solve a problem instead of seeing the same issue in an environment from different vantage points and spending needless cycles working separately.
So let’s take the example of a company who is running a Siebel solution. Oracle will provide a solution that monitors their Siebel application claiming they can do that better than other vendors. However, This view is very myopic as Seibel is not just a simple application with one layer. Behind the single Siebel “application” itself lies several complex components that make up the overall service that Siebel provides. This would include such things as the the application server, a database, hardware and supporting network infrastructure in addition to the management software to ensure this composite application is secure from internal and external threats, fail safe, and the SLA’s are being met in terms of quality and availability of the service.
If a disk goes down on one of the primary boxes hosting the Siebel application, if the IT organization is running an Oracle tool to monitor Siebel, a Microsoft product to monitor their x86 systems hardware, a Cisco tools to monitor network traffic, and IBM to monitor the database you may have a problematic situation. First, a person from each of those IT tooling groups will be looking at the same problem, using different interfaces and having no idea they are related or that someone else is also looking at the problem. The system tool will surely know the disk is down, the Seibel monitor will know Seibel is down but may not be able to tell you specifically why, the network monitor may detect the packets are not arriving to the machine but again does not know it is related to a disk problem, etc. At this point, the data can be very misleading, cause finger pointing and looking into the wrong area and ultimately drastically slowing down the response time to fix the issue.
One differentiator of IBM is that we can visualize, control, and automate all the components for the customer from the Siebel application to the underlying databases, middleware components and specific devices such as routers, servers and disks within the platform. We can even monitor custom or homegrown applications.
Of course, I selected Siebel to talk about IBM’s strengths even monitoring Oracle’s own applications but as you know, an enterprise will have a vast amount of items to monitor including such things as SAP, Websphere, Exchange, etc that extend far out of reach of Oracle’s capabilities and necessitating more point products in the environment, each with separately infrastructures, training requirements, etc. Whereas, IBM can manage all of these items with the same solution set.
IBM has a plethora of solutions that provide value to IT such as tools for predictive analytics, which focuses on proactively alerting customers about potential risks by predictive trending capabilities and helping to fix problem areas instead of the historical way of simply reacting when an end user is already impacted by an issue.
The common interface and the integrated / shared data warehouse among the IBM Tivoli monitoring solutions help to provide context to a problem especially in composite environment and helps with quick diagnosis.. With IBM, it is possible to find the root cause of the issue across all domains and enabling groups to drill down from the business view into the specific area that caused it from a single interface, using some of the best diagnostics tools in the industry. This greatly masks the complexity and truly gives the company a much larger return on investment as the real cost savings occurs when the service downtime is reduced and IT expenditure is lowered because of smarter service management of the IT infrastructure. This is something Oracle is considerably lacking compared to IBM.
In order to do Smarter Service management, it is important to have best practice and a vendor with expertise to ensure success in your project. The reality is that you probably will not have a single vendor for all of your IT needs. So, to have a company that is open, allowing you to leverage existing investment while bringing smarter service management components together in an integrated fashion is crucial.
It is also important to have those best practices be ITIL aligned – for instance, ensuring changes are in line with a change management process workflow for remediation of issues and planned deployments can avoid large downtime risk.
All of these elements will not take place overnight but to have a strong partner to work with to create a long term strategy to maintain competitiveness in the business by driving efficient IT operation to run the business is key."
See a discussion on IBM Maximo software for facilities management. Maximo can meet the needs of smart and sustainable buildings using predictive analytics to lower energy consumption and costs.
Clients over the globe are getting digital– online exchanges, web-based social networking updates, new innovation updates, and significantly more. While the strengthening happens, there are a lot of hazy areas that need to get topped off to guarantee accessibility, compatibility, and security of advanced applications and interfaces.
In like manner, Digital Transformation fueled by Digital Technologies has brought about significant changes in software product development and testing systems. The year 2017 saw the gigantic expansion of digital advancements and selection of new and imaginative stages.
With advances, for example, Artificial Intelligence, Blockchain, Predictive Analytics, and Virtual Reality making progress, Software Testing and Quality Assurance should continue reinventing.