White Paper: AvidBeam Technologies
Why You Should Use intelligent Video Analytics platform??
An intelligent video analytics platform can help you to handle massive amounts of video or image input data and produce results in real time. The complex process of converting unstructured video data to a structured visual realization in a parallel context can be done with Big Data Video Analytics easily.
So would you like to employ an intelligent big data video analytic tool and cloud based platforms to scale up the computer vision algorithms?
If Yes! Read this whitepaper that gives you a brief insight of video analytics platform for big data for better business intelligence.
Why intelligent video analytics platform will be the next big thing in big data?
Why intelligent video analytics platform is the most untapped source of data?
What are benefits of implementing intelligent video analytics platform?
How to select the best platform for performing Video Analytics?
How to handle Video Processing with Big Data Tools?
Four undeniable trends shape the way we think about data – big or small. While managing big data is ripe with challenges, it continues to represent more than $15 trillion in untapped value. New analytics and next-generation platforms hold the key to unlocking that value. Understanding these four trends brings light to the current shift taking place from Big Data 1.0 to 2.0, a cataclysmal shift for those who fail to see the shift and take action, a catalyst for those who embrace the new opportunity. Key take aways from this white paper: 5 Advancements of Big Data 1.0 5 Challenges of Big Data 1.0 Big Data 2.0 – Transformational Value Big Data 2.0 Means Big Value Times Ten
Sophisticated digital marketing technology, and the dramatic increase in always-connected consumers, is increasingly pushing marketing onto the center stage of corporate strategy. Ad campaigns launched on advanced technology platforms, which include tools to perform instant analysis of huge amounts of data, enable marketers to target campaign results and ROI in ways they could only dream about just a few years ago. They also give the entire enterprise real-time business intelligence to drive strategy at the moment of decision. These same technologies also turn the spotlight on IT and the CIO, who now have to deliver a range of advanced new data services to the enterprise, well beyond what they’ve had to do before. Marketers who have embraced their new strategic role share some common characteristics. They understand that navigating today’s rapidly evolving digital world requires an ecosystem of partners, both inside and outside their company walls. They seize the marketing opportunities that an interconnected, real-time digital landscape presents. And they take advantage of a new generation of tools that instantly orchestrate the massive amounts of data and the many moving parts of a modern media campaign. It’s now critically important that the CMO work strategically across department lines with CIOs and IT. CMOs need to evangelize their goals, strategies, and methods with the CIO to be sure IT can effectively align behind them. And the CIO needs to help marketing understand the capabilities and services they can provide and how to most effectively interface with IT processes. And, further, the CIO needs to be sure to have preexisting relationships with the right technology providers and Systems Integrators (SIs) to be sure they can quickly deliver new capabilities as dictated by rapidly evolving strategic goals.
What is Big Data ?
Big data is the act of collecting huge amount of enterprise data that can be used for future analysis. Big data helps all kind of industry data to grow securely that includes government, banking, retail, education and healthcare. Big data stores all kind of data including structured, unstructured and semi structured data, which contains valuable information about core functions of an enterprise such as finance, marketing, procurement.
What is Cloud Computing ?
A type of internet-based computing, Cloud computing refers to delivery of computing services over the internet or "the cloud" instead of using local storage and computing. The different computing services include servers, storage, databases, networking, software, applications, and analytics. Cloud computing eliminates the need for hardware acquisition, maintenance, installation of software.
What is Big Data analytics ?
Big Data analytics involves the assembling, arrangement, and analyzes of enormous data sets with varying contents, to reveal or establish existing trends, relations, or patterns. Big data analytics requires tools for data mining, forecasting, optimization, and analysis. Enterprises involved in big data analytics receive insights not only on their companies functionalities but also on customer preferences and interactions