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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: Alteryx, Inc.     Published Date: Sep 06, 2017
Predictive analytics is on the verge of widespread adoption as enterprises become more interested in deploying predictive capabilities. In fact, a recent 2017 TDWI education survey, ranked predictive analytics the top analytics-related topic respondents wanted to learn about. The TDWI Navigator Report- Predictive Analytics provides a comprehensive overview of the state of the predictive analytics market. Download this report to better understand: Opportunities and obstacles of implementing predictive analytics Market forces and trends driving the adoption of predictive analytics Features and market landscapes that define predictive analytics Download this report today to get a better sense on how your organization can take advantage of predictive analytics to drive change in your business.
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Alteryx, Inc.
Published By: BMC     Published Date: Nov 19, 2018
Learn how BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities
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bmc, cognitive service management, service management, itsm, automation, digital transformation
    
BMC
Published By: BMC ASEAN     Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, there’s also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challenges—making enterprise goals of enabling cost savings via smarter operations and decision making come to fruition. BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM employs a differentiated approach with a more holistic
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BMC ASEAN
Published By: CDW     Published Date: Aug 04, 2016
IT decision-makers at most enterprises understand the benefits that the cloud has to offer: increased agility and more predictable budgeting, among others. In many organizations, in fact, “cloud first” has become the mantra when seeking out new software solutions. But often, enterprises are less clear on the specific use cases of Infrastructure as a Service (IaaS) and how providers can help deliver IT capabilities that meet their needs and help them to achieve desired business outcomes.
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technology, cloud, data, productivity, enterprise, business management
    
CDW
Published By: Cisco     Published Date: May 24, 2019
Mobile Global Workforce is predicted to surge to 1.87 billion by 2022. Be prepared for the wireless expansion with Mobility Express. Cisco’s Mobility Express* is designed for small businesses that want a controllerless solution with Wi-Fi management functions embedded in the Cisco Aironet® access point itself. Offering SMB’s Cisco’s industry-leading enterprise capabilities at a fraction of the enterprise cost.
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Cisco
Published By: CrowdTwist     Published Date: Apr 16, 2018
In order for brands to compete and provide the level of personalization consumers have already come to expect, marketers need to work quickly to develop competencies around their abilities to collect contextual and anticipatory insight and meet customers in the moments that matter most to them. Now is the time for marketers to invest in technology that supports data capture, segmentation, predictive analytics, and machine learning. With these capabilities in place, brands should be on track to build rich first party profiles of customers across all channels and maximize customer lifetime value by creating relevant experiences at all stages of the customer lifecycle.
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customers, predictive, branding, consumers, competition, lifecycle
    
CrowdTwist
Published By: Dassault Systèmes     Published Date: Jul 21, 2017
Project management relies primarily on past performance to predict future results, however many companies still lack forward-looking capabilities to predict project outcomes and ensure success. Enhancing project management with PLM analytics offers the opportunity to switch from task-based activities to performance-driven ones to improve success rates. Use PLM Analytics to: • Gain actionable insight and valuable intelligence • Dramatically boost business value and improve project management performance • Reduce error-prone behavior like manual data collection • Leverage big-data capabilities and project intelligence Learn how to extend the value of your PLM investment and improve business performance for your company.
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product solutions, lifecycle management, tech products, data management tools, pdm, plm, process automation, product development speed
    
Dassault Systèmes
Published By: Domino Data Lab     Published Date: Feb 08, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: Domino Data Lab     Published Date: May 23, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: Epicor     Published Date: Aug 01, 2017
Like many manufacturers, your shop floor operations may be challenged with inefficient standard processes, unpredictable downtime, and difficulties with machinery maintenance. A manufacturing execution system (MES) can help make the most of your shop floor’s capabilities, with tools that can identify under-performing and high-performance machines, and then optimize asset utilization accordingly. Engineers can design, refine, and implement better work processes, and operations professionals can improve preventive maintenance and response times. The result is less downtime, less scrap, more productivity, and lower cost. With the real-time information of an MES, you can transform the shop floor into an important contributor that drives the strategic direction of your business, differentiates your brand, and positions your company as a market leader.
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enterprise resource planning (erp), manufacturing execution system (mes), manufacturing, mattec mes
    
Epicor
Published By: Epicor     Published Date: Jan 08, 2018
Like many manufacturers, your shop floor operations may be challenged with inefficient standard processes, unpredictable downtime, and difficulties with machinery maintenance. A manufacturing execution system (MES) can help make the most of your shop floor’s capabilities, with tools that can identify under-performing and high-performance machines, and then optimize asset utilization accordingly. Engineers can design, refine, and implement better work processes, and operations professionals can improve preventive maintenance and response times. The result is less downtime, less scrap, more productivity, and lower cost. With the real-time information of an MES, you can transform the shop floor into an important contributor that drives the strategic direction of your business, differentiates your brand, and positions your company as a market leader.
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enterprise resource planning (erp), manufacturing execution system (mes), manufacturing, mattec mes
    
Epicor
Published By: Group M_IBM Q1'18     Published Date: Feb 15, 2018
See how you can turn data into actionable insights with predictive analytics. Take our brief assessment to learn which analytical capabilities will enable you to find the greatest value in your data and make confident, accurate business decisions.
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analytics assessment, business decisions, predictive analytics, analytics
    
Group M_IBM Q1'18
Published By: Group M_IBM Q2'19     Published Date: May 23, 2019
US ground forces handle massive amounts of information and data while working under unpredictable conditions. These conditions don’t always allow military intelligence analysts access to a technologically reliable way to share information.  AI can help develop a comprehensive intelligence picture and a true sense of cognitive situational understanding (CSU). These technologies can help analyze the massive amounts of data the military receives. And because AI programs are constantly adding new capabilities and tools, they can help the military prepare for the battlefield of the future. Read how. 
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Group M_IBM Q2'19
Published By: HP     Published Date: May 14, 2014
What worked in storage yesterday is not necessarily effective for today or tomorrow. Legacy storage is too complex and not well aligned with today’s business strategies and objectives. Many storage platforms are not up to the challenge of today’s unpredictable workloads and unconstrained data growth. They don’t offer the adaptability, agility and consolidated management capabilities IT requires, which means that IT needs a future-proof storage architecture. Learn about the next generation in storage.
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converged storage, legacy storage, future proof storage, storage, hp converged storage
    
HP
Published By: HP Inc.     Published Date: Dec 06, 2017
3D printing taking steps to make impact in the marketplace. McKinsey & Company predicted the impact of 3D printing and direct product manufacturing could hit $500 billion annually 2025. But first, as John Hauer writes, the infrastructure for 3D printing – such as software, color capabilities, and affordable printing materials – needs to keep advancing.
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printing, industry, manufacturing, marketplace, color capabilities, software
    
HP Inc.
Published By: HP Inc.     Published Date: Jun 13, 2018
McKinsey & Company predicted the impact of 3D printing and direct product manufacturing could hit $500 billion annually 2025. But first, as John Hauer writes, the infrastructure for 3D printing – such as software, color capabilities, and affordable printing materials – needs to keep advancing. Check it out
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HP Inc.
Published By: IBM     Published Date: Mar 24, 2009
Electronics and Software Engineering are quickly merging with traditional Mechanical Engineering to create a new paradigm in auto manufacturing: Mechatronics. Industry experts predict that this shift will bring about profound advances in automotive product development. Unfortunately, existing IT and process infrastructures do not provide sufficient capabilities to support the new paradigm: multiple data silos, a lack of standardized processes, and integration issues on a tool level (Mechanical, Electronic, Software) continue to pose serious obstacles to development efficiency, and remain a frequent source of delays, quality issues and cost increases.
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ibm, ibm telelogic, automotive system design, mechanical engineering, mechatronics, oems, electronic stability programs, esp
    
IBM
Published By: IBM     Published Date: Aug 01, 2012
Discover how using predictive analytics can help your company convert prospects and cross-sell to existing customers. The campaign optimization capabilities provided with predictive analytics offer an unprecedented level of targeting and coordination across all channels - quickly resulting in decreased costs and increased revenue.
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ibm, marketing, technology, campaign profitability, predictive analytics, analytics, roi, crm
    
IBM
Published By: IBM     Published Date: Aug 08, 2012
This white paper examines the role social media can play in presenting a more strategic view of customer data and how the right combination of technologies can deliver insight to help companies more effectively meet perpetually shifting consumer demands expressed through, and influenced by, these dynamic communication channels. Discover the implications of social media for marketing and sales, as well as IT. And learn the how and why social media tools and applications can be integrated with existing technology investments.
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social media analytics, consumer insight, marketing digitization, ibm, facebook, strategic considerations, lower cost, influence
    
IBM
Published By: IBM     Published Date: Sep 27, 2013
Today’s economy is widely characterized by skittishness and uncertainty about the future. The effect that unpredictable external forces can have on the economy can leave many business leaders feeling helpless. This fact was demonstrated in the IBM Global CFO Study, where many CFOs admitted that they lacked the ability to measure and monitor business performance effectively. The same study also found that the companies who invested in their business insight capabilities were better able to anticipate and react to external economic forces. IBM Cognos software can provide businesses with the business insight they need to be prepared, not scared. Cognos software allows businesses to analyze performance, model business strategies and processes, and contribute to a common set of business objectives.
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ibm, ibm cognos software, dynamic planning, forecasting, analysis, financial planning, business insight
    
IBM
Published By: IBM     Published Date: Mar 07, 2014
8 to 10 page Analyst Whitepaper by Ptak / Noel addressing the need for IT to bring Analytics technology to IT to help them be more proactive, predictive providing faster mean time to repair. This paper will also explore how IBM is helping customers with it's new IT Analytics platform that offers Search, Predict and Optimize capabilities.
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ibm, big data, operational insight, it analytics, optimize capabilities, predict capabilities
    
IBM
Published By: IBM     Published Date: Oct 07, 2015
Whether you work in marketing, customer service, sales, finance, operations or another area of your business, IBM predictive analytics software puts a wealth of advanced capabilities at your fingertips, anywhere you need them—on premises, on cloud or as a hybrid solution.
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IBM
Published By: IBM     Published Date: Oct 07, 2015
Integrating TM1 BI and Predictive capabilities to unlock the hidden value of your data
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IBM
Published By: IBM     Published Date: Oct 17, 2016
See how you can turn data into actionable insights with predictive analytics. Take our brief assessment to learn which analytical capabilities will enable you to find the greatest value in your data and make confident, accurate business decisions.
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ibm, analytics, spss, stats, modeler, predictive analytics
    
IBM
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