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Published By: Abacus Labs     Published Date: Jun 14, 2018
The purpose of expense reporting software is to streamline your team’s workflow for submitting and reviewing business expenditures. By implementing an expense management solution, you can decrease the time and costs associated with processing expenses and increase your visibility into the implications of business spend, while helping improve general expense policy compliance and reduce expense fraud.
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reporting, software, expense, finance, business, management
    
Abacus Labs
Published By: Adobe     Published Date: Feb 20, 2014
San Diego County District Attorney’s Office accelerates Juvenile Court proceedings using Adobe® Acrobat® Pro in Microsoft SharePoint environment.
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adobe, adobe acrobat pro, file management, software, data management, electronic documentation, paperless processing, pdf documents
    
Adobe
Published By: Adobe     Published Date: Aug 02, 2017
Customer experience (CX) continues to dominate the agenda, and it is clear from the research that retailers collectively grasp the importance of a personalised and mobilefriendly experience which is relevant at every stage of the customer journey. It makes absolute sense for retailers to focus on optimising the mobile experience as part of their CX initiatives. CX is a differentiator for retail brands and, as part of this trend, the mobile experience in particular will increasingly define your brand.
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digital skills, culture, strategy, data management, processing, technology, ux design
    
Adobe
Published By: Ahead     Published Date: Jun 05, 2019
Digital Requires a New Level of Insight and Control Digital strategies have caused business executives to intensify their scrutiny of how technology affects bottom line performance. With a growing emphasis on differentiating the customer experience in highly competitive markets, these executives want to understand how their IT systems affect everything from brand perception to customer acquisition and loyalty. 3 | A Guide to Intelligent Operations Meanwhile, those same demanding business leaders lack appreciation and patience for the complexity of today’s digital technology environment. While applications and user experiences are simpler and more intuitive, the backend processing, application interdependencies, and underlying infrastructure are more complex than ever, even in light of the benefits of abstraction, virtualization, and cloud computing (see Figure 1.) While CIOs have long been expected to improve stability and uptime - and done a pretty good job of it - the stakes are much
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Ahead
Published By: AI Business     Published Date: Mar 11, 2019
LOOK TO RELEVANT USE CASES FOR YOUR BUSINESS. While use cases vary across industries, the most common ones fall into these categories and are usually associated with the listed neural network: • Image classification or object detection: convolutional neural network (CNN) • Time-series predictions: long short-term memory (LSTM) • Natural language processing: recurrent neural network (RNN) • Unlabeled data classification and data labeling: autoencoder (AE) • Anomaly detection: autoencoder (AE) • Recommender systems: multilayer perceptron (MLP) Work with your deep learning talent or consultants to identify which use cases best match your organization and desired solutions. Then recreate a successful, already proven method.
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AI Business
Published By: Amazon Web Services     Published Date: Feb 01, 2018
Moving Beyond Traditional Decision Support Future-proofing a business has never been more challenging. Customer preferences turn on a dime, and their expectations for service and support continue to rise. At the same time, the data lifeblood that flows through a typical organization is more vast, diverse, and complex than ever before. More companies today are looking to expand beyond traditional means of decision support, and are exploring how AI can help them find and manage the “unknown unknowns” in our fast-paced business environment.
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predictive, analytics, data lake, infrastructure, natural language processing, amazon
    
Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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Amazon Web Services
Published By: AMD     Published Date: Jul 20, 2012
Server virtualization falls within the domain of IT operations but it can very much be a business matter with a measurable impact on the bottom line. Esoteric as it may seem from a business perspective, the server platform, powered by the processor.
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virtualization, cloud connection, public cloud, private cloud, private/public hybrid, virtual power equation, data processing, virtual machine density, silicon, system management, scalability
    
AMD
Published By: AppZen     Published Date: Jun 17, 2019
Is your business falling prey to invoice fraud schemes? Download this whitepaper to learn -what to look out for when processing invoices -the best practice of examining thousands of bills that come through the door every month
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AppZen
Published By: APTX     Published Date: Nov 05, 2009
This technology white paper introduces the reader to an entirely new scheme for lossless audio compression called apt-X Lossless.
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aptx, apt-x lossless, audio processing, audio codec
    
APTX
Published By: Automation Anywhere     Published Date: Feb 21, 2019
Automation Anywhere’s flagship product is Automation Anywhere Enterprise – a RPA platform offering a variety of tools to help organisations develop, operate and manage RPA bots that automate data entry, data gathering and other repetitive, routine tasks usually carried out as part of high-volume, repetitive work (for example, service fulfilment work in call centres, shared-service centres, and back-office processing environments). Automation Anywhere Enterprise bots can add value both in unattended (server-based, lights-out operation) and attended (desktop-based, interactive) deployment configurations. In this report, MWD Advisors digs deeper into the features and capabilities of Automation Anywhere’s product portfolio, analysing its fast-growth trajectory and highlighting large-scale implementations.
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Automation Anywhere
Published By: Automation Anywhere APAC     Published Date: Apr 18, 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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Automation Anywhere APAC
Published By: Avaya     Published Date: Dec 18, 2013
Your contact center is a hotbed of activity, constantly processing calls and emails, chats and social media posts, problems and solutions. As a result, it generates the kind of “big data” that other departments wish they had. But collecting that data is just the beginning. The next step is turning it into a plan of action.
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avaya, big data, contact center, social media
    
Avaya
Published By: AWS     Published Date: Jul 16, 2018
The Internet of Things (IoT) is composed of sensor-embedded devices and machines that exchange data with each other and the cloud through a secure network. Often referred to as “things” or “edge devices”, these intelligent machines connect to the internet either directly or through an IoT gateway, enabling them to send data to the cloud. Analyzing this data can reveal valuable insights about these objects and the business processes they’re part of, helping enterprises optimize their operations. Devices in IoT deployments can span nearly any industry or use case. Each one is equipped with sensors, processing power, connectivity, and software, enabling asset control and other remote interactions over the internet. Unlike traditional IT assets, these edge devices are resource-constrained (either by bandwidth, storage, or processing power) and are typically found outside of a data center, creating unique security and management considerations.
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AWS
Published By: AWS     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
Tags : 
    
AWS
Published By: AWS     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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AWS
Published By: AWS     Published Date: Oct 12, 2018
Safeguarding your data is more important than ever. In today’s data-driven business landscape, companies are using their data to innovate, inform product improvements, and personalize services for their customers. The sheer volume of data collected for these purposes keeps growing, but the solutions available to organizations for processing and analyzing it become more efficient and intuitive every day. Reaching the right customers at the right time with the right offers has never been easier. With this newfound agility, however, comes new opportunities for vulnerability. With so much riding on the integrity of your data and the services that make it secure and available, it’s crucial to have a plan in place for unexpected events that can wipe out your physical IT environment or otherwise compromise data access. The potential for natural disasters, malicious software attacks, and other unforeseen events necessitates that companies implement a robust disaster recovery (DR) strategy to
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AWS
Published By: AWS     Published Date: Nov 14, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources. This e-book aims to provide you with expert tips on how to use Amazon Redshift Spectrum to increase performance and potentially reduce the cost of your queries.
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AWS
Published By: AWS - ROI DNA     Published Date: Jun 12, 2018
Traditional data processing infrastructures—especially those that support applications—weren’t designed for our mobile, streaming, and online world. However, some organizations today are building real-time data pipelines and using machine learning to improve active operations. Learn how to make sense of every format of log data, from security to infrastructure and application monitoring, with IT Operational Analytics--enabling you to reduce operational risks and quickly adapt to changing business conditions.
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AWS - ROI DNA
Published By: BenefitMall     Published Date: Sep 23, 2015
Download this whitepaper to learn why many small and mid-sized firms are choosing a more robust outsourced solution that combines HR tasks, like time and attendance management and workforce administration, with traditional payroll processing to improve data accuracy, ensure regulatory compliance, and deliver greater economies of scale.
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small business, small business owners, payroll, outsourcing payroll, third-party payroll service, attendance management, workforce administration, compliance, human resources
    
BenefitMall
Published By: BlackBerry Cylance     Published Date: Apr 15, 2019
Artificial intelligence (AI) leads the charge in the current wave of digital transformation underway at many global companies. Organizations large and small are actively expanding their AI footprints as executives try to comprehend more fully what AI is and how they can use it to capitalize on business opportunities by gaining insight to the data they collect that enables them to engage with customers and hone a competitive edge. But, while AI may indeed be the frontier of enterprise technology, there remain many misconceptions about it. Part of the confusion stems from the fact that AI is an umbrella term that covers a range of technologies — including machine learning, computer vision, natural language processing, deep learning, and more — that are in various stages of development and deployment. The use of AI for dynamic pricing and targeted marketing has been in use for a while, but actual AI computing where machines think like humans is still many years from becoming mainstream. T
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BlackBerry Cylance
Published By: BlackLine     Published Date: Feb 17, 2016
Many senior finance executives want their department to play a more strategic role in the management and operations of their company. They believe there is value in shifting their focus from processing transactions to higher-value functions in order to be able to make more substantial contributions to the success of the organization. Continuous accounting can serve as the foundation for transforming the role of the department.
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finance, accounting, finance transformation, finance strategy
    
BlackLine
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