business models

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By: Pure Storage     Published Date: Jul 03, 2019
Man AHL is a pioneer in the field of systematic quantitative investing. Its entire business is based on creating and executing computer models to make investment decisions. The firm has adopted the Pure FlashBlade™ solution from Pure Storage to deliver the massive storage throughput and scalability required to meet its most demanding simulation applications.
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Pure Storage
By: Group M_IBM Q3'19     Published Date: Jun 25, 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
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
By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
"Use Watson Marketing capabilities to discover insights previously unknown, and use them to create new business models and revenue streams. Download the white paper to discover how you can better target and engage with customers."
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Group M_IBM Q3'19
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: Red Hat     Published Date: Jun 19, 2019
Technology has fundamentally changed the way we live. Access to data and information anytime, anywhere is no longer a luxury—it is a requirement, in both our personal and professional lives. For IT organizations, this means pressure has never been greater to deliver higher-quality applications more often, enabling companies to stay relevant and seize digital business opportunities. Cloud-native is an approach to building applications that takes advantage of cloud computing models and DevOps principles to make the delivery of new features and services faster and more flexible. With a cloud-native strategy, organizations can begin the culture, process, and technology changes needed to meet new demands and become an IT organization that can deliver business innovation faster. The following checklist will assess your needs and possible business impacts to help you choose a cloud-native platform that benefits the business, developers, and IT operations team.
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Red Hat
By: Red Hat     Published Date: Jun 19, 2019
Agile integration — combining integration technologies, Agile delivery techniques, and cloud-native platforms to improve speed and security of software delivery — is a critical foundation for successful digital transformation. The pace of digital innovation and disruption continues to accelerate, driving the need for faster change to business models, processes, and applications. Firms that can quickly reconfigure and reconnect old and new applications have the advantage, and those with slow integration processes are at serious risk of losing customers. An Agile combination of integration and custom development is needed to meet the customer’s expectations and avoid losing market share to competitors that do put the customer first.1 For this study, we assessed the differences between successful and less successful Agile integration and app delivery strategies, why some firms can change their business faster, and what makes one integration strategy better than another. In March 2018, Re
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Red Hat
By: MuleSoft     Published Date: Jun 18, 2019
Well-designed APIs, created along with a holistic integration strategy with Anypoint Platform, create a seamless omnichannel experience that customers want and businesses need. To deliver a reliable and unified experience more quickly, companies must adopt a new approach that involves an omnichannel architecture. Across industries from healthcare to banking to retail, MuleSoft is powering omnichannel strategies that result in faster time to market, improved customer satisfaction, and increased revenue. Watch this webinar, including a demo, to learn how to: Take an API-led approach to omnichannel that enables companies to deliver a unified experience 5x faster Leverage Anypoint Exchange to enable consistency by design through the reuse of integration assets across channels, translating to a consistent experience for your customers Prepare for the future (and future channels) with support for different deployment models with a single, unified platform Presented by: John Withers, Produ
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MuleSoft
By: Workplace by Facebook     Published Date: Jun 17, 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.
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Workplace by Facebook
By: AWS     Published Date: Jun 11, 2019
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build
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AWS
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
By: KPMG     Published Date: Jun 06, 2019
Rapidly changing business models are driving fresh interest in zero-based cost management. Read this insight to discover: • the potential benefits of zero-based budgeting • how to avoid key mistakes associated with this budgeting approach • five principles to apply to create the conditions for zero-based success.
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KPMG
By: Oracle     Published Date: Jun 04, 2019
A new culture of innovation is sweeping through the business world. In this webinar, IDC’s chief analyst and Oracle’s VP of digital innovation show how Finance can take a strategic lead. Key topics discussed include: • How to accelerate insight-gathering • Innovating future digital business models • Using AI to automate – and create better business processes Watch webinar
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Oracle
By: Nuance EMEA     Published Date: Jun 04, 2019
New market entrants are shifting the way the financial sector operates, new business models are changing customer expectations, and ever-changing client demographics are forcing businesses to adapt the way they work. As we move into a decade of artificial intelligence (AI) and digital innovation, huge opportunities are opening up for the financial sector to combat these changes. But with this comes new challenges, and exponential increases in available information must be accompanied by smart tools and processes to make sense of it, ensure regulatory compliance, and add real value to clients. To find out more, download this ebook!
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Nuance EMEA
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: SQAD     Published Date: May 28, 2019
Marketers have more complexity than ever to manage. It's time to adjust and improve legacy business models. To learn more about modern media management for brand advertisers, download the whitepaper and click the link at the end of the PDF to access a short video.
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SQAD
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: VMware SD-WAN by VeloCloud     Published Date: May 21, 2019
As organizations prioritize digital transformation initiatives, many are finding that legacy networks are holding them back. To support new business models, cloud adoption, and an explosion in connected devices, modern networks must support interoperability across data centers, multiple clouds, branch locations, and edge devices. Applications now run at every point on this spectrum, and they are critical to businesses’ ability to win in hypercompetitive marketplaces. Yet, even as business success has become more dependent on this new architecture, and the amount of data flowing across connections has increased, many organizations still lack a unified approach to management, automation, and security
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VMware SD-WAN by VeloCloud
By: 3D Systems     Published Date: May 17, 2019
This new world is not only delivering better quality components at lower cost but is offering whole new design possibilities, new business models and new markets. The key is to know when to use metal additive manufacturing instead of or complementing conventional milling or casting. Read this executive brief to learn about the transformative value of the fifth wave of metal 3D printing, as well as compelling use cases for direct metal printing from the aerospace, automotive and industrial sectors.
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3D Systems
By: TIBCO Software     Published Date: May 16, 2019
Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others: • New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry • Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike • Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation Read this whitepaper to learn how you can overcome these and other disruptions.
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data, applications, analytics, algorithms, innovation, cloud, technology, customer, banking
    
TIBCO Software
By: Infinidat EMEA     Published Date: May 14, 2019
Infrastructure efficiency and effectiveness directly support profit and growth as competition increases in the cloud and managed service provider (xSP) market. Savvy service providers understand that storage choices have a profound impact on not only their profit and growth, but also on their customer experience and retention. They also know that storage challenges in all those areas increase exponentially with scale. Infinidat storage platforms allow service providers to build and scale differentiated, profitable solutions without worrying about storage. Infinidat technology enables unprecedented efficiency, performance, and resiliency, while flexible business models make it easy for service providers to operationalize those platform advantages—including unique co-branding and promotional opportunities as part of the Powered by Infinidat program. Cloud providers worldwide trust their businesses to Infinidat storage. This paper explores a path for service providers to unlock greater sc
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Infinidat EMEA
By: Schneider Electric     Published Date: Apr 23, 2019
After buzzing Industry 4.0 all over the media by all OT and IT experts, today, a few key concepts seem to unveil the potential that the industry believes is behind Industry 4.0. These include: Smart Machines, Smart Factory, cyber physical systems, Everything-as-a-Service and a few technologies like OPC UA, cloud and data analytics. Clearly, they are the innovation drivers and must-haves for every vendor of automation products that want to be recognized as leaders or challengers. Sooner or later they will become standards and used by followers and niche players, but the key question for the market of automation suppliers is not who is first in developing and providing all the nice concepts and technologies, but who is creating and combining them in the right way so that they can be turned into new revenue streams. We keep in mind that competitive advantages can be achieved through increasing operational efficiency, but the better way is through strategic uniqueness. Companies which ar
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industry 4.0, iiot, smart machines, smart manufacturing, business models
    
Schneider Electric
By: Schneider Electric     Published Date: Apr 23, 2019
Schneider Electric surveyed over 400 worldwide machine builders and factory end users in 2015. The questions they answered all centered around what their machines and plants would need to look like in 2020 if their businesses were to sustain growth and boost productivity. Their feedback has shaped (and will continue to shape) Schneider Electric digitized solution investments. Key requirements identified included: • Tools that could accommodate a younger, less skilled, and less experienced workforce • A need for simpler integration through open software connectivity and more open field buses • A need for whole lifecycle support of the products they purchase Read this eBook to see answers to some of these identified key points from those surveyed.
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machine, digitization, industry 4.0, business models, smart machines
    
Schneider Electric
By: DataCore     Published Date: Apr 23, 2019
In our developing digital economy, IT is a strategic asset. By effectively leveraging data, businesses become more operationally efficient, create more differentiated customer experiences, and develop new products and business models. However, unlocking those benefits requires a higher degree of execution by IT. Simply keeping pace with demand is no longer good enough; IT needs to help drive the business’s digital pursuits. The increased pressure on IT has amplified complexity, as well—66% of IT decision makers surveyed by ESG say IT is more complex than it was just two years ago.1 Demands being placed on IT are scaling relentlessly, and the tools IT teams use are in a constant state of evolution. Integrating and optimizing those new infrastructure technologies while managing existing investments is a perpetual burden. IT organizations, therefore, have two choices: either increase their personnel and budgets enough to survive the evolution with just traditional tools, or redirect those
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software defined storage, hyperconverged, storage consolidation, storage management, data migration, storage migration
    
DataCore
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