business models

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Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
The advantages blockchain can bring to the automotive ecosystem, both in facilitating collaboration among participants and enabling capabilities for new mobility business models, have gotten the attention of automotive executives. In addition to enabling a single source of data, blockchain can facilitate device-to-device transactions, smart contracts, and real-time processing and settlement. For the automotive industry, this translates into improvements and operational efficiencies in areas such as supply chain transparency, financial transactions between ecosystem participants, authenticating access to cars, and customer experience and loyalty.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Aug 13, 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 Q3'19
Published By: Group M_IBM Q3'19     Published Date: Aug 13, 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 Q3'19
Published 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
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: 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
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: 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
Published By: Virgin Media Business     Published Date: Aug 28, 2019
The world is now digital. From the explosive expansion in data-driven service delivery to digitally disruptive business models such as Uber and Netflix that have fundamentally changed the way we consume products, the digital evolution is unavoidable. As digital continues to advance, it’s crucial that UK businesses can be confident in their ability to keep up to date with the latest trends and technologies. But enhancing existing tools and models is just the beginning. Digital transformation is about taking advantage of new innovations that completely change the way businesses work, the experiences they offer their customers and the value they deliver within their market. To find out more download this whitepaper today.
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Virgin Media Business
Published 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
Published 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
Published 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
Published 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
Published 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
Published 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
Published 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, it management, enterprise applications
    
HP
Published By: Epicor     Published Date: Aug 18, 2017
More than ever, businesses are considering a cloud solution for their enterprise resource planning (ERP) deployment over an on-premises system. Cloud technology appeals to these companies because updates and fixes occur automatically with little or no effort from internal IT staff, and because cloud-based solutions provide access to real-time data from anywhere. Employees want tools that make it easier for them to complete everyday tasks and make informed decisions that help the business grow. Aberdeen’s research report, “Top Performers Know It’s Time to Migrate to Cloud ERP: Here’s Why and How,” uncovers the reasons successful companies are choosing cloud over on-premises ERP models. Download this SmartBite for a quick look at the report’s highlights.
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erp software, enterprise resource planning software, saas, cloud erp, epicor erp
    
Epicor
Published By: Epicor     Published Date: Feb 20, 2018
Cloud is no longer a tactical solution but rather a strategic enabler of connected economies. Technology leaders will orchestrate cloud ecosystems that connect employees, customers, partners, vendors, and devices to serve rising customer expectations. Firms will shift from being mere cloud adopters to becoming cloud companies themselves—stewards of their own ecosystems. This Forrester report—presented by Epicor—highlights the transformation taking place as we move to a world of connected cloud ecosystems, and it describes how: • The cloud economy disrupts business models • Rightsourcing is a key challenge to cloud success • You will orchestrate the cloud, and it will orchestrate you Download the report to learn more and discover why you should change the way you think about cloud.
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cloud, erp
    
Epicor
Published By: Epicor     Published Date: Feb 23, 2018
Manufacturers—like those in the retail and communications industries—are seeing modern technology and increased customer expectations drive new business models across the industry. Industry 4.0 is a common name for the strategy that allows companies to automate and digitize the manufacturing process, as well as keep pace with the demands of today’s customers. By downloading this Epicor-sponsored content, you’ll learn more about Industry 4.0 and how to apply it to your manufacturing business, including: • How to deliver on the promise of Industry 4.0 • How to prepare your organization for Industry 4.0 Download the content now, and discover how your manufacturing business can keep pace with today’s trends.
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industry 4.0, cloud, manufacturing
    
Epicor
Published By: Epicor     Published Date: Jul 10, 2018
Cloud is no longer a tactical solution but rather a strategic enabler of connected economies. Technology leaders will orchestrate cloud ecosystems that connect employees, customers, partners, vendors, and devices to serve rising customer expectations. Firms will shift from being mere cloud adopters to becoming cloud companies themselves—stewards of their own ecosystems. This Forrester report—presented by Epicor—highlights the transformation taking place as we move to a world of connected cloud ecosystems, and it describes how: • The cloud economy disrupts business models • Rightsourcing is a key challenge to cloud success • You will orchestrate the cloud, and it will orchestrate you Download the report to learn more and discover why you should change the way you think about cloud.
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cloud, erp
    
Epicor
Published By: Epicor     Published Date: Aug 15, 2018
Cloud is no longer a tactical solution but rather a strategic enabler of connected economies. Technology leaders will orchestrate cloud ecosystems that connect employees, customers, partners, vendors, and devices to serve rising customer expectations. Firms will shift from being mere cloud adopters to becoming cloud companies themselves—stewards of their own ecosystems. This Forrester report—presented by Epicor—highlights the transformation taking place as we move to a world of connected cloud ecosystems, and it describes how: • The cloud economy disrupts business models • Rightsourcing is a key challenge to cloud success • You will orchestrate the cloud, and it will orchestrate you Download the report to learn more and discover why you should change the way you think about cloud.
Tags : 
erp software, enterprise resource planning software, saas, cloud erp, epicor erp
    
Epicor
Published By: Epicor     Published Date: Aug 15, 2018
More than ever, businesses are considering a cloud solution for their enterprise resource planning (ERP) deployment over an on-premises system. Cloud technology appeals to these companies because updates and fixes occur automatically with little or no effort from internal IT staff, and because cloud-based solutions provide access to real-time data from anywhere. Employees want tools that make it easier for them to complete everyday tasks and make informed decisions that help the business grow. Aberdeen’s research report, “Top Performers Know It’s Time to Migrate to Cloud ERP: Here’s Why and How,” uncovers the reasons successful companies are choosing cloud over on-premises ERP models. Download this report from Aberdeen Group and discover the compelling reasons more companies are choosing the cloud for their ERP platform.
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erp software, enterprise resource planning software, saas, cloud erp, epicor erp
    
Epicor
Published By: CA Technologies     Published Date: Feb 13, 2015
You’re facing increasing global competition. And changing business models, such as lower-cost cloud options, enable more competitors to join the fray faster than ever. Your response? Consistently select the right projects and bring in-demand products and services to market quickly. But the evidence often tells a different story.
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strategic planning, cloud options, global competition, in-demand products, in-demand products
    
CA Technologies
Published By: Staples     Published Date: Oct 24, 2018
Homestead Funding realized it needed help with print management. A lot of help. Watch this quick video to learn how the company worked with Staples Business Advantage to cut its printer fleet down to 3 makes and 4 models, cut print costs by 28% and used one-stop shopping to streamline their business.
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managed print services, print costs, it asset maintenance, business technology
    
Staples
Published By: Juniper Networks     Published Date: Aug 08, 2017
Cloud, social, big data, and the Internet of Things (IoT) are increasingly central to business decisions as the pace of digitization accelerates. The impact of software-defined networking (SDN), virtualization, and converged and hyperconverged infrastructure within the datacenter is substantial. These technologies add complexity but offer enticing opportunities for new business models, revenue streams, operating efficiencies, and agility that organizations must pursue if they want to remain competitive and viable. This pursuit requires businesses to keep up with current and emerging technologies and applications and transform the ways in which they conduct business. At the core of "keeping up" is an organization's datacenter strategy — with an associated technology and services strategy that will either create industry laggards or accelerate innovators.
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Juniper Networks
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