business models

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By: Oracle EPM     Published Date: May 11, 2015
No matter how you define it, cloud, social, mobile, and big data are changing the competitive dynamics of the global economy and creating significant value for companies that know how to create business models leveraging these technologies.
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finance, investment, big data, cloud computing
    
Oracle EPM
By: athenahealth     Published Date: Jun 08, 2015
In this whitepaper, we argue that traditional models for estimating HCIT costs are inadequate and overlook several business-critical variables. Our intention is not to provide a comprehensive TCO model, but to expose and examine the operational considerations that most TCO models fail to recognize or account for, and to equip executives to ask the right questions about the cost of delivering clinical and financial results stemming from technology procurement
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hcit, heath care it, ownership, patient experience, tco
    
athenahealth
By: ServiceNow     Published Date: Jan 03, 2017
The scope and value that modern IT service delivery provides a business is increasing dramatically, according to a new research reportfrom Enterprise Management Associates (EMA). And yet in some organizations legacy ITSM systems contribute significantly to reduced credibility for IT departments who fail to integrate with and support important business concerns. This lack of modern IT service delivery creates multiple issues for the enterprise, including: Increasing divergence of IT and business performance Rising costs due to service delivery complexity Inability to measure and protect a business from potential risks Informed by extensive research and two compelling deployment narratives, this report examines what EMA calls “next-generation ITSM” and its contributions toward optimizing changing IT and business requirements. EMA contrasts these advances with the risks of staying with legacy ITSM models and then evaluates and itemizes the risks of “doing nothing” by allowing legacy ITS
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it management, it automation, it ticketing, help desk, service desk, itsm, it service management
    
ServiceNow
By: NetSuite     Published Date: Feb 17, 2016
NetSuite recently joined forces with IDG Communications to gather together some of Australia’s leading CIO and CFO professionals to find out how their businesses are responding to disruption, the inherent opportunities it brings, the impact on their roles and what role cloud computing plays in this process. This white paper shares some of the key experiences of participating businesses from a wide range of industries within Australia, including retail, government, tourism and professional services.
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disruption, netsuite, australia, underlying business models, disruption opportunities, cloud computing
    
NetSuite
By: Akamai Technologies     Published Date: Apr 25, 2018
Cyber attackers are targeting the application programming interfaces (APIs) used by businesses to share data with customers. Consumer mobile adoption, electronic goods and services, and high volumes of data have led businesses to use APIs for data exchange. Unfortunately, attackers can also use APIs to access or deny service to valuable data and systems. This white paper explores strategies for protecting APIs. You’ll learn about APIs, how and why these endpoints are targets for web application attacks, security models, and how Akamai can help.
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api, security, interface, businesses, data, mobile, adoption
    
Akamai Technologies
By: OpenText     Published Date: Jun 06, 2017
IDC Research shows that manufacturers worldwide are rapidly embracing new technologies to transform their business models and operations to improve agility, customer engagement, profit and sustainable competitive advantage.
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OpenText
By: IBM     Published Date: Feb 28, 2017
Energy companies are being challenged on multiple fronts. Core expectations require the delivery of safe, reliable, affordable and sustainable energy. Business models are being challenged by alternatives such as renewables and consumers demanding more sophisticated interactions through social and mobile. Energy companies need to: Disruptively innovate business processes through analytics driven operational excellence to increase agility and responsiveness, reduce operational costs and improve asset reliability Assume the role of energy integrator to optimally balance supply and demand points Deliver a 360-degree customer-of-one experience to increase customer satisfaction and loyalty, reduce costs, and improve management of energy demand
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ibm, energy & utilities, utility trends, pov, ibm pov, customer experience, sustainable energy, affordable energy
    
IBM
By: IBM     Published Date: May 22, 2017
Financial institutions should consider rapidly transforming business models in ways that are cognitive and digital. These transformations should include: Developing alternative revenue sources and streamlining costs.
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financial services, financial security, data security, cloud security, network security, business protection
    
IBM
By: IBM     Published Date: Nov 03, 2017
Massive shifts within the digital business landscape are sparking immense opportunities and reshaping every sector. In some cases, complete upheaval is happening at lightning-fast speed. In other instances, digital undercurrents are stirring beneath the surface as organizations scramble to monetize vast volumes and variety of data in an effort to sharpen their competitive edge and not be blindsided by unforeseen events that completely upend existing business models. While long-standing industry leadership might be no match for the next cool app, agility, speed and the ability to harness more data than was ever imagined is fueling powerful possibilities for reinvention among companies of every size. Data is following rapidly from mobile devices and social networks, as well as from every connected product, machine and infrastructure. This data holds the potential for deep insights that can replace guesswork and approximations as to locations, behaviors, patterns and preferences. As the w
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digital business, data, data-driven enterprise, innovation, ibm
    
IBM
By: Vindicia     Published Date: Oct 04, 2017
The number of services available via online subscription is exploding—and the big bang of subscription is only gaining momentum. Companies want to turn one-time purchases into regularly recurring subscriptions or memberships. The siren song of subscription success is calling to executives in virtually every industry. Business leaders want ongoing revenue streams from an army of subscribers. But, as companies that plunged into recurring business models are realizing, subscriptions are more than just transactions that recur. Subscription success can be illusive. Too often, subscription models don’t generate the expected high, ongoing revenue streams.
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Vindicia
By: Boardwalktech     Published Date: Jun 05, 2018
Blockchain is reimagining the way enterprises operate. It’s a powerful new enterprise technology that can be used across vertical and application domains to realize greater efficiency, support new business models and revenue sources, and enhance the security and elevate the trust of enterprise transactions.
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Boardwalktech
By: Centrica Business Solutions     Published Date: Aug 14, 2018
It's demanding times for businesses. Facing risks as diverse as extreme weather and cyber-attacks, ?rms are focusing more intently on business continuity plans. At the same time, the digital revolution is changing lifestyles, disrupting business models and acting as a catalyst for change. Energy itself is undergoing a transformation, as generation moves towards renewables and decentralization, while technological advances present new opportunities. Energy now has the potential to deliver competitive advantage, to enhance sustainability and resilience, and to power innovative business models. But equally, the range of new options available is making the management of energy more complex. Read this thought leadership paper to find out how energy can drive your business strategy.
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business, strategy, energy, efficiency, performance
    
Centrica Business Solutions
By: Group M_IBM Q2'19     Published Date: May 31, 2019
In the Garage, you work side by side with IBM experts to create first-of-a-kind MVPs, experiment with emerging technologies and quickly learn from failures. In this webinar hear from Ed Forman, Partner of Cognitive Process Transformation at IBM. Ed has partnered with organizations across industries including automotive, life sciences, financial services and telecommunications. In his work with the IBM Garage he has helped shape an award-winning method for innovation that has transformed business models for Fortune 500 clients. Listen to this 30-minute presentation to find out more.
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Group M_IBM Q2'19
By: Workplace by Facebook     Published Date: Jun 24, 2019
The business landscape is changing fast. That much is obvious. Business models are being disrupted, industry mainstays unseated and old certainties upended on a near-daily basis. Technology is unlocking new possibilities. But it’s also creating new expectations - especially at work. By 2020, Gen Y will make up 35% of the workforce. This generation has grown up with open communication platforms like Facebook and Instagram. Now, they’re bringing that same expectation of openness to work. Download this report to uncover why understanding what Gen Y want in a job, as well as an employer, is key to future-proofing businesses.
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Workplace by Facebook
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
By: Domino Data Lab     Published Date: Feb 08, 2019
A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform. This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.
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Domino Data Lab
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
By: Domino Data Lab     Published Date: May 23, 2019
This paper introduces the practice of Model Management, an organizational capability to develop and deliver models that create a competitive advantage. Today, the best-run companies run their business on models, and those that don’t face existential threat. The paper explains why companies that fail to run on models are falling for the Model Myth—the assumption that models can be managed like software or data. Models are different and need a new organizational capability: Model Management. What’s inside: Defining a model Why models matter for businesses Why companies fall for the Model Myth A framework for Model Management Practical steps to get started The paper is intended for anyone in a data science organization, or anyone who hopes to use data science as a key source of competitive advantage for their business.
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Domino Data Lab
By: Amazon Web Services     Published Date: Feb 01, 2018
Machine learning is proving its power across virtually every industry in ways that add actionable insight and efficiency. But one can look at the rise of this transformative paradigm with a more focused lens to see AI technologies as a business tool of the highest order, one that improves processes and inspires new models. AI, in other words, has a big role to play on the balance sheet. Two leading brands in very different spaces — Capital One in financial services, John Deere in agriculture — are seeing efforts that stretch back decades come to fruition with the launch of cloud-based AI platforms. Capital One is developing digital products and experiences using machine learning to help millions of customers with their financial lives; John Deere’s Precision Agriculture solution helps farmers gain precise information about their machines and crops. In both instances, AI and a cloud platform combine to enable transformation.
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digital, technologies, optimization, amazon
    
Amazon Web Services
By: MarkLogic     Published Date: Nov 07, 2017
Business demands a single view of data, and IT strains to cobble together data from multiple data stores to present that view. Multi-model databases, however, can help you integrate data from multiple sources and formats in a simplified way. This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to discover how to: Get unified views across disparate data models and formats within a single database Learn how multi-model databases leverage the inherent structure of data being stored Load as is and harmonize unstructured and semi-structured data Provide agility in data access and delivery through APIs, interfaces, and indexes Learn how to scale a multi-model database, and provide ACID capabilities and security Examine how a multi-model database would fit into your existing architecture
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MarkLogic
By: Datarobot     Published Date: May 14, 2018
The DataRobot automated machine learning platform captures the knowledge, experience, and best practices of the world’s leading data scientists to deliver unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods
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Datarobot
By: Oracle OMC     Published Date: Nov 30, 2017
The headwinds facing traditional and online retailers in 2017 are numerous and well documented. Chief among the challenges: a sustained assault on established business models driven by changing consumer behavior and the competitive might of e-commerce giant Amazon. Large big-box players, such as Walmart and Target, are responding to the threat - and embracing the opportunity of e-commerce - by boosting online spending by hundreds of millions or even billions of dollars annually. Yet even the largest and most well-resourced players can’t simply spend their way to success. Competing with Amazon and adjusting to the changing demands of consumers means taking a hard look at the engines driving e-commerce and digital marketing operations, scouring for missed opportunities, and investing in the technologies that will fuel the innovations of tomorrow.
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Oracle OMC
By: Oracle OMC     Published Date: Nov 30, 2017
The headwinds facing traditional and online retailers in 2017 are numerous and well documented. Chief among the challenges: a sustained assault on established business models driven by changing consumer behavior and the competitive might of e-commerce giant Amazon. Large big-box players, such as Walmart and Target, are responding to the threat - and embracing the opportunity of e-commerce - by boosting online spending by hundreds of millions or even billions of dollars annually. Yet even the largest and most well-resourced players can’t simply spend their way to success. Competing with Amazon and adjusting to the changing demands of consumers means taking a hard look at the engines driving e-commerce and digital marketing operations, scouring for missed opportunities, and investing in the technologies that will fuel the innovations of tomorrow.
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Oracle OMC
By: Workday     Published Date: Sep 14, 2018
This e-book features 10 must-read articles on the rapidly evolving world of supply chain published by Becker’s Hospital Review. Articles cover a range of topics, from new entrants pushing into healthcare to how new business collaboratives are shaking up conventional distribution models.
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Workday
By: HP     Published Date: Nov 05, 2014
IT has never been more important to doing business, which means that IT infrastructure must be simpler, smarter, faster, more flexible, and more business-aligned than ever. New service delivery models are driving new Tier-1 storage requirements that reveal how the traditional focus on performance and availability are clearly not enough to support virtualization, ITaaS, and new cloud service delivery models. The world is moving rapidly towards a New Style of IT, and will leave behind any business that doesn’t adapt even more rapidly. Is your storage ready? Download this whitepaper now.
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data center, change management, data management, storage space, storage criteria, storeserv, tier-1, market reportit requirements, asset utilization, data mobility, maintenance upgrades
    
HP
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