business model

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Published 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
Published By: Amazon Web Services EMEA     Published Date: Sep 09, 2019
City leaders around the world are working to improve the quality of life and increase the number of useful services for their citizens, businesses, and visitors. Smart city initiatives are gaining attention in several countries, as administrators, industry, and citizens are working together to enhance their communities, cities, regions, and nations. After more than ten years of smart city hype, innovative projects have emerged, but few have provided a disruptive impact on the city system itself. Because every city is different, few of the existing models apply universally. An effective response requires leaders to consider a series of prerequisites: • Consider the local culture and the people • Prioritize basic needs and requests • Work at overcoming silos and encourage collaboration across departments • Consider each “smart” initiative as an integral part of an overall city system A smart city reflects a number of aspirations: efficiency, resiliency, connectedness, innovatio
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Amazon Web Services EMEA
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Feb 28, 2019
Companies of all sizes have a critical need to match supply and demand as efficiently as possible, in order to quickly capture maximum demand at the lowest possible cost. This tutorial will walk you through a demand forecasting and planning solution that can help you deliver more accurate demand forecasts, optimized operations to satisfy demand, and a complete operational and financial plan that the business can use in practice. In this tutorial, you will explore the following key capabilities: Improve decision-making in a single workspace with IBM Planning Analytics Deliver timely, reliable plans and forecasts with the addition of SPSS Modeler Create optimal demand plans with the addition of IBM ILOG CPLEX Optimization Studio
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Group M_IBM Q119
Published 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
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: 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
Published By: Group M_IBM Q3'19     Published Date: Jun 25, 2019
To become more effective, enterprises must fast-track projects to digitally connect their organizations. Building value and providing compelling customer experiences at lower cost requires more than a quick technology fix; it demands a business and technological commitment to a new target operating model (TOM). This operating model should offer a way of running the organization that combines digital technologies and operational capabilities to achieve improvements in revenue, customer experience and cost. Enabling digital capabilities via the TOM is an ongoing process that requires DevOps skills and agile development techniques. This is easier to achieve with partners that have the requisite capabilities to help with the creation of new digital assets
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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: Group M_IBM Q4'19     Published Date: Sep 25, 2019
Basic diagramming tools allow business users to define an initial business process and provide a good path to getting your processes off of sticky notes and into a digital format. However, if company-wide collaboration, real-time change management and integration with automation tools are important to you, a dedicated process modeling tool may be your better choice.
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Group M_IBM Q4'19
Published By: Group M_IBM Q4'19     Published Date: Sep 25, 2019
• Simplify business process modeling: Quickly build processes in a straightforward cloud-based interface designed for both IT and business users • Improve process efficiency and accuracy: A central process repository eliminates version control and consistency issues by providing users real-time access to process workflows • Enhance cross-team collaboration: A shared team workspace engages all business process owners, encouraging cross-team participation and continuous process improvement
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Group M_IBM Q4'19
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: Visier     Published Date: Jan 25, 2019
Complementing your investment in Workday, Visier People takes you beyond Workday’s operational reports to strategic excellence. How? Through actionable and proven people analytics that are available today—not someday. Chosen time and again by Global 2000 organizations, Visier’s dedicated people analytics and workforce planning solution, with its all-inclusive subscription model, brings together data from all your transactional HR and business systems— including Workday—so you can: • Answer strategic workforce questions on demand, with credibility • Connect the dots between workforce decisions and business outcomes • Model and forecast your future workforce and its costs
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Visier
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: Salesforce     Published Date: Oct 30, 2019
In recent years, advancements in technology have exponentially impacted how quickly and effectively customers are able to get what they want. This has triggered a sea change in rising expectations where the overall customer experience is concerned. In turn, customer service, once considered by many to be a cost center, can now provide a coveted point of differentiation. All of which is to say, a business’ success now largely depends on disrupting the traditional customer service model. So how can your business do that? In this paper, I’ll answer that question – by describing a more disruptive model of customer service and, where applicable, explaining how Salesforce can support that model.
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Salesforce
Published By: Salesforce     Published Date: Oct 30, 2019
Please note that this piece of content is in local language. In recent years, advancements in technology have exponentially impacted how quickly and effectively customers are able to get what they want. This has triggered a sea change in rising expectations where the overall customer experience is concerned. In turn, customer service, once considered by many to be a cost center, can now provide a coveted point of differentiation. All of which is to say, a business’ success now largely depends on disrupting the traditional customer service model. So how can your business do that? In this paper, I’ll answer that question – by describing a more disruptive model of customer service and, where applicable, explaining how Salesforce can support that model.
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Salesforce
Published By: Salesforce     Published Date: Oct 30, 2019
In recent years, advancements in technology have exponentially impacted how quickly and effectively customers are able to get what they want. This has triggered a sea change in rising expectations where the overall customer experience is concerned. In turn, customer service, once considered by many to be a cost center, can now provide a coveted point of differentiation. All of which is to say, a business’ success now largely depends on disrupting the traditional customer service model. So how can your business do that? In this paper, I’ll answer that question – by describing a more disruptive model of customer service and, where applicable, explaining how Salesforce can support that model.
Tags : 
    
Salesforce
Published By: Salesforce     Published Date: Oct 30, 2019
In recent years, advancements in technology have exponentially impacted how quickly and effectively customers are able to get what they want. This has triggered a sea change in rising expectations where the overall customer experience is concerned. In turn, customer service, once considered by many to be a cost center, can now provide a coveted point of differentiation. All of which is to say, a business’ success now largely depends on disrupting the traditional customer service model. So how can your business do that? In this paper, I’ll answer that question – by describing a more disruptive model of customer service and, where applicable, explaining how Salesforce can support that model.
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Salesforce
Published By: IBM     Published Date: Jun 25, 2018
Recognizing the shift to a subscription business model required real-time customer support, Autodesk turned to IBM technology to enhance its customer experience. Using Watson Assistant, Autodesk developed a virtual agent to interact with customers, applying natural language processing (NLP) and deep learning techniques to recognize and extract the intent, context and meaning behind inquiries. Quickly resolving easy customer concerns, Watson Assistant is supporting 100,000 conversations per month, with response times 99% faster than before and leading to a 10-point increase in customer satisfaction levels for Autodesk. Find out how Watson Assistant can accelerate your customer support experience. Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
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IBM
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
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