algorithm analysis

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Published By: Schneider Electric     Published Date: Oct 31, 2017
In some cases, adopting cloud IoT platform may make more sense where required processes, communication costs and cloud costs meet sufficient total cost of ownership against deploying MDC. Additionally, in situations that an end-user organization already has a secure room or a modular data center solution where infrastructure can be housed and/or the amount of infrastructure involved may be too small to benefit from power/cooling advantages of being housed in an MDC, the organization may not see a need for an MDC. An MDC is nothing more than a smaller form of a modular data center, and a number of providers have entered the modular data center solutions space in the past. These modular data center solution providers came into the market with high expectations for growth and ROI only to find that high sales were not forthcoming due to limited use cases, so many exited the space.
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algorithm analysis, buyer trend, iot, workloads, market, vendors, data centers
    
Schneider Electric
Published By: SPSS     Published Date: Jun 30, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the technology sector.
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spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics, statistical modeling, algorithms, predictive analysis, data analysis, scalability, optimization, business knowledge, decision-making, business process automation, business process management
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the marketing sector.
Tags : 
spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics, statistical modeling, algorithms, predictive analysis, data analysis, scalability, optimization, business knowledge, decision-making
    
SPSS, Inc.
Published By: Expert System     Published Date: Jul 26, 2019
As companies increasingly recognize the business implications and actionable benefits of AI, the question becomes: How will you use AI for your business? Thanks to the Cogito platform based on AI algorithms, organizations can effectively support and improve unstructured information management and text analytics in order to: Leverage all information, combining internal knowledge with other information sources to extract relevant data Provide effective and real-time insight on strategic initiatives, partners and any third parties Mitigate and even completely avoid risks for operations, reputation, etc. through information analysis and monitoring Know what competitors are doing and intercept market trends Implement automation for the broader, more complex set of processes that involve data Free up teams to focus on more creative or critical activities inside the organization See the entire business through a different perspective
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Expert System
Published By: ttec     Published Date: Jul 24, 2019
Data drives decision making across the enterprise. For sales executives, its critical to have information about where to focus outreach and understand what potential customers are looking for. But having data for its own sake wont do much good. With advanced tools and a customerfocused mindset, companies are learning things about prospects never before possible. Thanks to advanced insights and machine learning that process algorithms and crunch millions of data points, new purchase patterns and propensity models are emerging to guide sales leaders as to what will work best for their business. Read this paper to learn how to act on advanced insight in the sales and marketing process. Highlights include: The enormous potential of new data tools and analysis Resources needed to act on the insight Company examples Strategic and operational recommendations
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ttec
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