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Published By: Automation Anywhere APAC     Published Date: Aug 15, 2019
After evaluating all the options on the market, one company chose Automation Anywhere RPA to start its digital transformation journey and automate its invoice processing, help desk, and internal financial reporting processes. The company achieved its initial goals—and more. It got the first initiative—automating accounts payable—up and running in less than 6 months, and increased the efficiency of the operation by 300%.
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efficiency, rpa, roi, digital workforce, ocr
    
Automation Anywhere APAC
Published By: SAP Concur     Published Date: Aug 07, 2019
"If you’re automating routine Accounts Payable tasks such as matching payments and invoices, that’s a great start, but you’re only scratching the surface. Learn how to take your AP team to the next level by grabbing your copy of this SAP Concur sponsored CFO eBook on artificial intelligence for AP management. By deploying AI strategically for AP processing, you will: - Reduce the headaches of manual processing, lost invoices and other barriers - Achieve greater visibility into data to improve cash forecasting - Augment human decision-making to position your company for growth"
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SAP Concur
Published By: Stripe     Published Date: Aug 06, 2019
Platform businesses are reshaping our economy and disrupting entire markets through seamlessly connecting buyers and sellers. However, processing payments and the exchange of value on a platform or marketplace can be challenging. Stripe commissioned Forrester Consulting to evaluate the challenges that platforms and their sellers face, and the solutions they seek. Through a global online survey of 2,030 platform sellers and four in-depth interviews, Forrester found that platforms struggle to provide their sellers with much-needed payment capabilities, reporting, and customer support services with in-house resources alone. Meanwhile, sellers demand that platforms provide these services and will prefer platforms that are service-rich over platforms that are service-poor. KEY FINDINGS ? The complexities of managing a platform force executives to divert resources, which stalls growth. ? Going global is easier said than done. ? Sellers will flock to platforms that simplify the process of
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global payments inc, payment solutions, payment processing, platform as a service (paas), platforms
    
Stripe
Published By: Stripe     Published Date: Aug 06, 2019
Payments is an increasingly strategic area of focus for enterprises, impacting market expansion, customer experience, business model evolution and, ultimately, revenue growth. As the role of payments in business strategy continues to expand, enterprises need secure, reliable and scalable infrastructure to underpin their transaction acceptance and processing capabilities. Stripe commissioned 451 Research to understand how large enterprise-scale merchants are thinking through their online payments infrastructure requirements. 451 Research surveyed 800 merchants across 8 countries, including a mix of business decision-makers from payments to finance to IT. KEY FINDINGS ? Nearly two-thirds of respondents using the public cloud for payments have seen improvements in security, innovation and uptime, while nearly three in five cited improved scalability. ? Respondents using public-cloud-based payments infrastructure cited ‘improved security’ as the number-one benefit they’ve realized from
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payment security, platform as a service (paas), foreign currency transactions, fraud protection, payment solutions
    
Stripe
Published By: Stripe     Published Date: Aug 06, 2019
Payments are essential to the success of marketplaces and platforms that connect buyers to sellers, where transactions are a critical component of customers’ satisfaction. Sellers seek fast and flexible payouts, while both sellers and buyers look for an integrated and seamless experience. With the increasing complexity of multi-party transactions on platforms, these expectations are difficult to meet. Stripe commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Stripe Connect, an offering that allows marketplaces and platforms to accept payments from and send payouts to third parties. Forrester’s interviews with four existing Stripe clients and subsequent financial analysis found that an organization based on these interviewed organizations experienced benefits of $6.1 million over three years versus costs of $1.3 million, adding up to a net present value (NPV) of $4.
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payment solutions, payment processing, pci compliance, platform as a service (paas), business payment solutions
    
Stripe
Published By: Stripe     Published Date: Aug 06, 2019
Digital commerce is enabling businesses to rethink what they sell, how they sell, and where they sell. Fickle consumer and business buyers have come to expect an intuitive and instantaneous checkout process with multiple payment options. However, aging financial infrastructure and complex interdependencies between numerous parties make it difficult and expensive to accept payments online seamlessly and across markets and currencies. Stripe meets these challenges with an API-based payments platform that abstracts away the complexities around payment gateways, acquiring banks, and credit card networks. To understand the impact of Stripe’s products on processing online payments, IDC interviewed Stripe customers and surveyed hundreds of organizations around the world about how they currently process and manage online payments. KEY FINDINGS ? Many organizations are using Stripe as a foundational platform for their online businesses, with many of those also using Stripe Connect to run thei
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payment security, payment processing, payment solutions, business analytics, platform as a service (paas)
    
Stripe
Published By: Amazon Web Services EMEA     Published Date: Aug 02, 2019
Artifi cial intelligence is becoming a key component of business transformation. Virtually any business leader seeking to unlock value and develop new capabilities using technology is at some stage of the AI journey. For example, those at the leading edge have incorporated machine learning insights into business processes and are building functionality such as natural language processing and preventative maintenance diagnostics into their products. Others are experimenting with pilot projects or developing plans to get started.
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data, technologies, learning, applications, technology, machine, cloud
    
Amazon Web Services EMEA
Published By: Conduent     Published Date: Jul 23, 2019
In this eBook, we’ve distilled the key information into a “decision guide” to help you head in the right direction with your technology planning. The guide walks you through the five main options for your technology and overviews the benefits and challenges related to each — so you can weigh the pros and cons and make the best technology choices for your organization. Complete the form at right to get your copy today.
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Conduent
Published By: TIBCO Software     Published Date: Jul 22, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
TIBCO® Connected Intelligence for Smart Factory Insights By processing real-time data from machine sensors using artificial intelligence and machine learning, it's possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
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TIBCO Software
Published By: IBM APAC     Published Date: Jul 19, 2019
AI applications and especially deep learning systems are extremely demanding and require powerful parallel processing capabilities. IDC research shows that, in terms of core capacity, a large gap between actual and required CPU capability will develop in the next several years. IDC is seeing the worldwide market for accelerated servers grow to $25.6 billion in 2022, with a 31.6% CAGR. Indeed, this market is growing so fast that IDC is forecasting that by 2021,12% of worldwide server value will be from accelerated compute. Download this IDC report to find out why organizations like yours will need to make decisions about replacing existing general-purpose hardware or supplementing it with hardware dedicated to AI-specific processing tasks.
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IBM APAC
Published By: Expert System     Published Date: Jul 18, 2019
Robotic Process Automation (RPA) is helping companies reduce costs and improve on quality and productivity by automating some of their most time consuming, rule-based and replicable business processes. RPA is especially effective in the banking and insurance sector where it brings speed and efficiency to customer service and compliance. Based on artificial intelligence algorithms, Expert System’s Cogito cognitive technology enables an automatic, human-like understanding of the content of text documents. Applied to RPA, Cogito adds greater business value and ROI for both repetitive and complex information-intensive processes. Using Cogito, companies can expect up to 53% savings on activities such as FTEs and warranty management, and cost reductions of 30 to 60% for email management and quote processing, etc.
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Expert System
Published By: Expert System     Published Date: Jul 18, 2019
Although computers are better when it comes to processing and making calculations, they haven’t been able to accomplish some of the most basic human tasks, until now. Thanks to cognitive computing, machines are bringing human-like intelligence to many business applications, including big data. So, what is cognitive computing? According to Forbes, “cognitive computing comes from a mashup of cognitive science—the study of the human brain and how it functions—and computer science.” This definition is a good place to start. However, to really understand what cognitive computing is, we have to go a little deeper.
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Expert System
Published By: Flexential     Published Date: Jul 17, 2019
By 2020, there will be 50 billion devices producing 600Zb of data, driving enterprises to assess their IT infrastructures to keep pace with unprecedented data processing demands. Is your business ready to handle this data explosion? In this on-demand webinar, you’ll hear Tim Parker, Vice President of Network Services at Flexential, and Craig Matsumoto, Senior Analyst of Data Center Services at 451 Research, discuss the evolution of data – and how enterprises are processing and creating it. Download now to hear Parker and Matsumoto examine how edge computing solutions are meeting the latency demands of an increasingly digitized world.
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Flexential
Published By: Esker     Published Date: Jul 09, 2019
For 20+ years, many businesses have enjoyed the cost savings, operational efficiencies and process quality improvements that shared services centers (SSCs) were designed to deliver — but often not to the fullest extent. In this eBook we will cover: Standardized AP Processing without Disruption Measuring and Evaluating KPIs with Automation 7 Tips for Mastering Modern-Day Finance SSCs Achieving the Ultimate Control, Oversight & Orientation
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Esker
Published By: Esker     Published Date: Jul 09, 2019
Traditional, paper-based methods of AP invoice processing are associated with: Higher costs Lower visibility Longer processing times ...all barriers that ultimately impede business progress and the ability to gain a competitive advantage. The purpose of this white paper is to explore the specific challenges faced by companies using manual processing methods while shedding light on the key features and proven benefits of Accounts Payable Automation.
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Esker
Published By: Pure Storage     Published Date: Jul 03, 2019
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing.
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Pure Storage
Published By: Schneider Electric     Published Date: Jul 01, 2019
This eGuide examines how the IIoT, big data, and augmented reality are enabling a new era of cost reduction, asset management, and worker safety in water and wastewater processing.
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augmented reality, big data, water
    
Schneider Electric
Published By: Group M_IBM Q3'19     Published Date: Jun 27, 2019
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data.
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Group M_IBM Q3'19
Published By: GFT USA, Inc.     Published Date: Jun 26, 2019
Drawing on over 30 years of financial services industry expertise, GFT is GCP’s premiere, go-to, pure play financial services partner enabling GCP services and products greater visibility and utilization within FIs across Capital Markets, Retail, Insurance, and Asset Management business segments. Leveraging reputational credibility from long-standing relationships with top global FIs, GFT offers GCP a unique and invaluable view into pressing problems and potential solutions for the rapidly changing FS market.
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GFT USA, Inc.
Published By: GFT USA, Inc.     Published Date: Jun 26, 2019
Stream is GFT’s architectural framework on GCP that enables real time processing and analysis of structured and unstructured data using AI and Machine Learning (ML) to extract intelligence from data.
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GFT USA, Inc.
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: HP Inc.     Published Date: Jun 20, 2019
Four billion people now generate four quintillion bytes of data every day - and with the number of IoT devices set to increase to three times the global population by 2022 - volumes will only continue to rise. The challenge is processing the data. This is why machine learning, deep learning and all the other developing forms of AI must deliver the analytics toolset businesses need to compete.
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HP Inc.
Published By: Cisco EMEA     Published Date: Jun 19, 2019
Imagine if you could see deep into the future. And way back into the past, both at the same time. Imagine having visibility of everything that had ever happened and everything that was ever going to happen, everywhere, all at once. And then imagine processing power strong enough to make sense of all this data in every language and in every dimension. Unless you’ve achieved that digital data nirvana (and you haven’t told the rest of us), you’re going to have some unknowns in your world. To find out more download this whitepaper today.
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Cisco EMEA
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