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Published By: IBM     Published Date: Jul 11, 2012
This paper discusses the challenges of managing applications in highly dynamic IT environments such as public and private Clouds. Modern enterprise applications are engineered for agility and are frequently deployed over flexible IT infrastructures.
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modern applications, architectures, infrastructure, cloud, dynamic it, web traffic, scalability, reliability, flexibility, public cloud, private cloud, mission-critical applications, custom applications, service oriented architecture, soa, virtualization, addm, diagnostics, discovery, end-user monitoring
    
IBM
Published By: Adobe     Published Date: Aug 02, 2017
With the advanced analytics capabilities in Adobe Analytics and the testing and targeting capacity of Adobe Target, it’s easier than ever to realise the potential of data-driven marketing. From creating a complete view of each customer across touchpoints and along their journey, to using predictive analytics, advanced anomaly detection and machine learning to understand behaviours and needs, you can use data to plan, create and optimise the experiences that matter to you and your customers.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Adobe
Published By: Adobe     Published Date: Aug 02, 2017
With Adobe Analytics and Adobe Audience Manager—both part of Adobe Marketing Cloud—media companies can overcome today’s audience intelligence challenges. Adobe Analytics is an industry-leading solution for applying real time analytics and detailed segmentation across all of your marketing channels. A unified platform and customer ID unlock powerful customer intelligence and help you discover and retain high-value audiences. Make forward-looking decisions with its predictive intelligence capabilities, and find out which of your marketing efforts are paying off with its attribution functionality.
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goals and kpis, data warehouse, resource management, insight loop, content and campaigns, audience optimisation
    
Adobe
Published By: Adobe     Published Date: Sep 28, 2016
Learn how predictive marketing can help you deliver customers experiences that really connect. By making the most of your customer data, you’ll learn to communicate in the ways your customers expect and demand.
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adobe, data driven marketing, marketing, marketing research, traditional marketing
    
Adobe
Published By: CrowdStrike     Published Date: Feb 14, 2019
A SANS Review of CrowdStrike Falcon X While threat intelligence can transform an organization's security posture, it can also be complex and costly for organizations to adopt and operationalize. With that in mind, SANS Analyst Dave Shackleford tested CrowdStrike Falcon XTM threat intelligence and the report of his findings is now available. Falcon X enables cybersecurity teams to automatically analyze malware found on endpoints, find related threats and enrich the results with customized threat intelligence. The SANS Review of Falcon X encapsulates and explains the analyst’s findings and details how CrowdStrike can help your security operations center (SOC) team make predictive security a reality. Download this report to learn: • How intelligence automation, built into the Falcon endpoint protection platform, enables teams, of all skills and sizes, to make better decisions and respond faster • How Falcon X performs investigations and delivers actionable intelligence with custom indicat
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CrowdStrike
Published By: BlackBerry Cylance     Published Date: Sep 13, 2017
Streamline your endpoint security stack and your team's workload with predictive, AI based, pre-execution malware protection plus prevention based EDR. CylancePROTECT combined with CylanceOPTICS = real-time, predictive threat prevention.
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BlackBerry Cylance
Published By: IBM     Published Date: Apr 29, 2014
Customer Profitability Analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability. Applying predictive analytics, they can model future behavior and derive a lifetime value for each customer.
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ibm, banking, customer profitability, customer profitability analytics, transaction data, predictive analytics, customer behavior
    
IBM
Published By: IBM     Published Date: May 07, 2015
Hear a panel of HR leaders engage in a conversation about how they are using predictive and prescriptive analytics applied to talent to drive better business results. Join us to explore how you can be more effective in designing pilots, demonstrating the ROI for talent analytics, and translating talent data into talent insight.
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talent acquisition, recruiting, optimization, technology, talent analytics, ibm
    
IBM
Published By: IBM     Published Date: Mar 07, 2016
Predictive Maintenance for Dummies helps you grasp the concepts of predictive maintenance and put the benefits to use.
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ibm, predictive maintenance, operations, data, competitive advantage
    
IBM
Published By: IBM     Published Date: Jun 13, 2016
Read this eBook to explore how using predictive and prescriptive analytics applied to talent can drive better business results.
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ibm, workforce analytics, ibm smarter workforce institute, human resources, hr analytics
    
IBM
Published By: AWS     Published Date: Jun 11, 2019
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have. DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost. Join our webinar to learn: Why you don’t need to be an expert in data science to create accurate predictive models. How you can build and deploy pr
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AWS
Published By: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
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incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
    
Schneider Electric
Published By: Mintigo     Published Date: Nov 20, 2017
Predictive Marketing is a fundamental shift in the way B2B companies engage buyers. In the first book of its kind, Mintigo CEO Jacob Shama explores how data science and AI enable marketers and sales reps to target, engage, and convert the most likely prospects with unparalleled precision. This ebook will guide you through the science, applications, and results of this new technology, and show you how to use it to empower your organization. Download now.
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Mintigo
Published By: SAP     Published Date: Feb 13, 2009
In today's economic downturn, organizations are looking for ways to improve the way they do business to keep ahead of the competition and improve revenue. Increasingly, organizations are finding that the benefits of BI can be complemented when combined with predictive analysis.
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sap, business intelligence, economic downturn, predictive analytics, enterprise
    
SAP
Published By: SAP     Published Date: May 02, 2011
Watch Sanjay Poonen, president of global solutions go-to-market at SAP provide insight about SAP Rapid Deployment solutions, and what makes them so attractive for our customers.
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rapid deployment, sap, predictive analytics, customer service
    
SAP
Published By: Mintigo     Published Date: Sep 05, 2018
One of the most common use cases for AI in B2B is to make predictions about which accounts are most likely to buy and which leads are most likely to convert. However, use cases for AI are being extended beyond predictive account and lead scoring to include decision-making and process automation as well. Download this SiriusDecisions technology perspective on Predictive Analytics and Artificial Intelligence Technology to learn more. This paper will cover: • The benefits, evolution and capabilities of AI technology solutions for B2B organizations • The core and extended capability groups of AI • The business priorities supported by AI Fill out the form to get your free copy!
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Mintigo
Published By: Mintigo     Published Date: Sep 05, 2018
Creating a data-driven, intelligent sales and marketing system is both today’s challenge and tomorrow’s imperative. Marketers can no longer live by “I think, I feel” and sales can no longer manage by “gut instinct.” Data is the new power currency in sales and marketing, and this is especially true if you want to succeed in an account-based marketing approach. Begin with the end in mind, use data and predictive intelligence to discover and target accounts and decision makers, create targeted content, select channels, deliver an omni-channel experience and measure results. This ebook will cover seven steps that every account-based marketer and seller should follow to create a successful process for ABM.
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Mintigo
Published By: Mintigo     Published Date: Sep 05, 2018
Artificial intelligence (AI) enables marketers using a predictive marketing platform to address many strategic questions. Whether you’re new to AI for Marketing or more seasoned with the use of AI, this ebook is a great resource for you. In this ebook, you’ll learn how to: • Optimize your marketing spending • Increase conversion rate across the funnel • Optimize customer engagement • Cross-sell and upsell throughout your customer base • Segment leads and grow customer value • Grow your market and find new prospects Fill out the form to get your free copy!
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Mintigo
Published By: IBM     Published Date: Jul 23, 2015
Predict better academic outcomes with IBM SPSS Decision Management for Student Performance.
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predictive analytics, performance management, student performance, spss, decision management, intervention measures, graduation rates, advanced placement courses, data analytics
    
IBM
Published By: IBM     Published Date: Jul 23, 2015
IBM Predictive Analytics Solution for Schools and Educational Systems,PASSES,is a product and services offering that enables schools to improve student performance.
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predictive analytics solutions, educational systems, compliance, data analytics, student performance, ibm, passes, finance
    
IBM
Published By: IBM     Published Date: Jul 23, 2015
This white paper explains how predictive analytics can be used in education to improve student retention and includes IBM SPSS case studies.
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data-driven decision-making, student life cycle, predictive analytics, higher education, student retention, data analytics, ibm spss, finance
    
IBM
Published By: IBM     Published Date: Sep 08, 2015
Please join us for an in-depth discussion of the latest data and analytics capabilities that banks are using today to uncover new customer insight - at the individual level - to improve offers and cross sell, optimize campaigns and deliver profitable revenue. The discussion will explore how leading banks are employing predictive analysis on customer data not often analyzed - like individual transactions, interactions, behavior and social media. See how banks can move beyond traditional segmentation and enable marketing to the "Segment of One."
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banking, finance, customer engagement, analytics, insights, segmentation, personal finance, investing, small business
    
IBM
Published By: IBM     Published Date: Sep 30, 2015
Deeper insights to create personalized, rewarding experiences for digital-savvy customers.
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IBM
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
The 21st century marks the rise of artificial intelligence (AI) and machine learning capabilities for mass consumption. A staggering surge of machine learning has been applied for myriad of uses — from self-driving cars to curing cancer. AI and machine learning have only recently entered the world of cybersecurity, but it’s occurring just in time. According to Gartner Research, the total market for all security will surpass $100B in 2019. Companies are looking to spend on innovation to secure against cyberthreats. As a result, more tech startups today tout AI to secure funding; and more established vendors now claim to embed machine learning in their products. Yet, the hype around AI and machine learning — what they are and how they work — has created confusion in the marketplace. How do you make sense of the claims? Can you test for yourself to know the truth? Cylance leads the cybersecurity world of AI. The company spearheaded an innovation revolution by replacing legacy antivirus software with predictive, preventative solutions and services that protect the endpoint — and the organization. Cylance stops zero-day threats and the most sophisticated known and unknown attacks. Read more in this analytical white paper.
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cylance, endpoint, protection, cyber, security
    
BlackBerry Cylance
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