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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 donít 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: 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 themóon 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
Published By: SAS     Published Date: Aug 28, 2018
With the widespread adoption of predictive analytics, organizations have a number of solutions at their fingertips. From machine learning capabilities to open platform architectures, the resources available to innovate with growing amounts of data are vast. In this TDWI Navigator Report for Predictive Analytics, researcher Fern Halper outlines market opportunities, challenges, forces, status and landscape to help organizations adopt technology for managing and using their data. As highlighted in this report, TDWI shares some key differentiators for SAS, including the breadth and depth of functionality when it comes to advanced analytics that supports multiple personas including executives, IT, data scientists and developers.
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SAS
Published By: IBM     Published Date: Sep 27, 2013
Todayís 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: SPSS     Published Date: Jun 30, 2009
This paper describes why and how Enterprise Feedback Management (EFM) is a critical component in solving the problem of enhancing customer-driven innovation and improving the predictive capabilities of the IT organization.
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predictive enterprise, spss, enterprise feedback management, efm, customer-driven innovation, crm, customer relationship management, customer experience
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This paper describes why and how Enterprise Feedback Management (EFM) is a critical component in solving the problem of enhancing customer-driven innovation and improving the predictive capabilities of the IT organization.
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predictive enterprise, spss, enterprise feedback management, efm, customer-driven innovation, crm, customer relationship management, customer experience
    
SPSS, Inc.
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 todayís business strategies and objectives. Many storage platforms are not up to the challenge of todayís unpredictable workloads and unconstrained data growth. They donít 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: 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: 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: 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: Interactive Intelligence     Published Date: Sep 11, 2013
Cloud communications provide myriad benefits for organizations, including speed of deployment, the ability to future-proof infrastructure and applications, business continuity, predictable monthly payments, and many more. Most organizations turn to the cloud in order to cost-effectively access enhanced capabilities while eliminating the complexity of deploying and managing premises-based solutions. Cloud-based contact center solutions offer additional benefits, notably the ease of adding or removing agents as needed based on fluctuating or seasonal traffic, ease of deploying remote or at-home agents, and ease of adding multi-channel services.
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interactive intelligence, contact centers, organizations, deployment, cloud, solutions, seasonal traffic, infrastructure
    
Interactive Intelligence
Published By: MicroStrategy     Published Date: Aug 21, 2019
To survive and thrive in an era of accelerating digital disruption, organizations require accessible data, actionable insights, continuous innovation, and disruptive business models. Itís no longer enough to prioritize and implement analytics Ė leaders are being challenged to stop doing analytics just for analyticsí sake and focus on defined business outcomes. In addition, these leaders are being challenged to bring predictive capabilities and even prescriptive recommended actions into production at scale. As AI and accelerated growth and transformation become top of mind, many enterprises are realizing that their current segmented analytics approach isnít built to last, and that real transformation will require proper endto- end data management, data security, and a data processing platform company-wide. The year 2019 will be a turning point for many organizations that realize being data-driven doesnít guarantee future success.
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MicroStrategy
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: Dec 05, 2016
Learn directly from KONE's expert about their recent IoT experience in implementing predictive maintenance (PMQ) and IoT. The session will cover: 1) KONE's business area that the PMQ and IoT solution is supporting, and the metrics used to measure success; 2) KONE's Predictive Maintenance and IoT Platform use case, key personas, savings and benefits realized; and 3) Observations from implementation, including: a) The analytics journey at KONE; b) Organizational change (culture, processes, etc.); c) Measurable maintenance benefits; d) Implementation considerations, learnings, going forward; and e) Future projects and capabilities.
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ibm, leadership, watson, watson iot, predictive maintenance
    
IBM
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