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enterprise intelligence

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By: Pure Storage     Published Date: Sep 27, 2019
For most enterprises, 60 to 73 percent of enterprise data goes unused for business-intelligence (BI) and analytics efforts, according to Forrester.1 Data that is out of sight or out of date creates a competitive blind spot for businesses today. With customer demands, economic changes, and new trends and technologies evolving at a dizzying pace, staying relevant — not to mention competitive — requires that businesses access all available BI to be ?exible and agile. Businesses must have quick access to data that is comprehensive, accurate, current, and consumable in real time. A traditional infrastructure, where the online analytical processing (OLAP) platform and the online transaction processing (OLTP) platform are separate, makes ?exibility and agility difficult to achieve. When a business has accurate, current data in hand, it can make real-time data-driven business decisions so that it can stay relevant and competitive, or even be a disruptor in its industry. One way that a busines
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     Pure Storage
By: Group M_IBM Q4'19     Published Date: Sep 27, 2019
Data is multiplying rapidly in quantity and variety for enterprises of all kinds. In multicloud environments, a range of data sources is exponentially increasing the stream of incoming information, from the Internet of Things and social media, to mobile devices, virtual reality implementations and optical tracking. While organizations are readily investing in artificial intelligence (AI), most haven’t done due diligence to understand their data or ensure the quality of data needed to benefit from AI solutions. In many organizations, their data is inaccessible, unreliable, or non-compliant with data privacy and protection rules.
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     Group M_IBM Q4'19
By: Shape Security     Published Date: Sep 12, 2019
A Big 5 Canadian bank had been suffering from automated attacks on its web and mobile login applications for months. Bad actors were performing credential stuffing attacks on all possible channels. Not only were the attacks leading to account takeover fraud losses, but the sheer volume of attacks also put significant strain on the bank’s infrastructure. After months of playing cat-and-mouse with the attackers, the bank decided to seek out a sophisticated solution and approached Shape. In this case study, learn how Shape’s Enterprise Defense service and Threat Intelligence team were able to successfully defend against these attacks.
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     Shape Security
By: MicroStrategy     Published Date: Aug 21, 2019
Ready or not, the future is here. For enterprise organizations, it must be a data-driven one. Whoever can use technology to transform the customer experience, and be the first to discover and deliver on new business models, will be the disruptor. Those who can’t, the disrupted in this period known as the “era of Digital Darwinism.” The future belongs to the Intelligent Enterprise which anticipates constantly evolving regulatory, technological, market, and competitive challenges and turns them into opportunity and profit. It delivers a single version of the truth and agility. It connects to any data and distributes reports to thousands. The Intelligent Enterprise goes beyond business intelligence, delivering transformative insight to every user, constituent and partner. Are most organizations there yet? As brands hone and focus their 2020 (and even 2030) vision, MicroStrategy has surveyed 500 enterprise analytics professionals on the state of their organization’s analytics initiatives.
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     MicroStrategy
By: Automation Anywhere APAC     Published Date: Aug 15, 2019
Global corporate enterprise AI practitioners are clearly still dealing with infrastructure issues related to talent and technology. End-to-end processes remain stubbornly carbon-based. Rule-based automation is truly not yet globally scaled across the majority of organizations. Double the AI And yet, the AI & Intelligent Automation Network members went from 21%, having deployed Intelligent Enterprise solutions to over 44% in just one year’s time. Over 4/5 expect to deploy AI in under two years The stated goal for deployment is just under 83% by the end of 2020. Considering the fact that they’ve essentially got two years, and those ranks have doubled in one year – doubling again in two years is achievable. Incidentally, that same number was only 67% a year ago. 50% expect to be established, globally scaling or refining AI in under two years Global corporate enterprise is in fact slowly but surely transforming into the intelligent enterprise of tomorrow. Having said that, it will be
Tags : analyst, artificial intelligence, intelligent automation, rpa
     Automation Anywhere APAC
By: AppZen     Published Date: Aug 07, 2019
On average, enterprises processed over 200,000 spend transactions last quarter. Finance teams that use artificial intelligence in their spend audit reviewed 100 percent of transactions, versus 2-10 percent of expense reports and 5-10 percent of invoices for teams that didn’t.
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     AppZen
By: AppZen     Published Date: Aug 07, 2019
On average, enterprises processed over 200,000 spend transactions last quarter. Finance teams that use artificial intelligence in their spend audit reviewed 100 percent of transactions, versus 2-10 percent of expense reports and 5-10 percent of invoices for teams that didn’t.
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     AppZen
By: AppZen     Published Date: Aug 07, 2019
On average, enterprises processed over 200,000 spend transactions last quarter. Finance teams that use artificial intelligence in their spend audit reviewed 100 percent of transactions, versus 2-10 percent of expense reports and 5-10 percent of invoices for teams that didn’t.
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     AppZen
By: BillingPlatform     Published Date: Jul 30, 2019
Discover How Cloud-based Billing Delivers Transformation Enterprise leaders and companies of all sizes are leveraging digital transformation through disruptive technologies like the Internet of Things, AI, business intelligence and big data. This eBook demonstrates 5 strategies for leading the charge for change within your business. Discover how to quickly leverage digital transformation in your technology stack and monetize it quickly with cloud-based billing. Download this eBook to explore how the right solution can help you: • Launch product innovations quickly • Monetize IoT and increase revenue • Automate billing to improve customer retention • Leverage the cloud to reduce costs Adapting today can mean the difference between success and obsolescence. With the right billing solution your business can thrive in these challenging times. Discover how today!
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     BillingPlatform
By: Esker     Published Date: Jul 09, 2019
In the innovation-focused world we live in, businesses that skimp on technology are the first to fall behind the competition. Top-performing enterprises have taken their AP operations to the next level by leveraging technology to streamline the AP process and allow for more strategic activities.This research report explores how best-in-class organizations are using emerging tech to operate AP departments at full potential and details strategies for success in the “Age of Intelligence,” including: Adopting a customer service-led mentality for AP teams Pursuing holistic & comprehensive AP process automation Integrating more progressive technologies, such as mobility & RPA
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     Esker
By: Pure Storage     Published Date: Jul 03, 2019
For thousands of organizations, Splunk® has become mission-critical. But it’s still a very demanding workload. Pure Storage solutions dramatically improve Splunk Enterprise deployments by accelerating data ingest, indexing, search, and reporting capabilities – giving businesses the speed and intelligence to make faster, more informed decisions.
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     Pure Storage
By: AppZen     Published Date: Jun 17, 2019
On average, enterprises processed over 200,000 spend transactions last quarter. Finance teams that use artificial intelligence in their spend audit reviewed 100 percent of transactions, versus 2-10 percent of expense reports and 5-10 percent of invoices for teams that didn’t.
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     AppZen
By: MicroStrategy     Published Date: Jun 11, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success.
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     MicroStrategy
By: MicroStrategy     Published Date: Jun 11, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics to and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. Furthermore, analytics are not always easy for line of b
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     MicroStrategy
By: IBM APAC     Published Date: May 14, 2019
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process. IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and compliance. Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report explores how they are approaching str
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     IBM APAC
By: Hewlett Packard Enterprise     Published Date: Apr 26, 2019
Discover how HPE is responding to the massive growth in enterprise data with intelligent storage. Data helps enterprises find new ways to reach and serve customers to grow profitability, but only when it is available at the right place and the right time. The growing complexity of managing and securing data prevents businesses from gaining its full value. Hewlett Packard Enterprise delivers the world’s most intelligent storage for the hybrid cloud world by providing storage that is driven by artificial intelligence, built for the cloud, and delivered as a service.
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     Hewlett Packard Enterprise
By: Automation Anywhere APAC     Published Date: Apr 25, 2019
Global corporate enterprise AI practitioners are clearly still dealing with infrastructure issues related to talent and technology. End-to-end processes remain stubbornly carbon-based. Rule-based automation is truly not yet globally scaled across the majority of organizations. Double the AI And yet, the AI & Intelligent Automation Network members went from 21%, having deployed Intelligent Enterprise solutions to over 44% in just one year’s time. Over 4/5 expect to deploy AI in under two years The stated goal for deployment is just under 83% by the end of 2020. Considering the fact that they’ve essentially got two years, and those ranks have doubled in one year – doubling again in two years is achievable. Incidentally, that same number was only 67% a year ago. 50% expect to be established, globally scaling or refining AI in under two years Global corporate enterprise is in fact slowly but surely transforming into the intelligent enterprise of tomorrow. Having said that, it will be
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     Automation Anywhere APAC
By: Recorded Future     Published Date: Apr 18, 2019
Enterprises increasingly operate in a digitally interconnected world where third parties like suppliers, customers, channel partners, and others are often directly connected to their internal IT systems, and where their underlying IT infrastructure may be owned and managed by an outside organization. These business relationships can knowingly or unknowingly introduce different types of risks that need to be identified and managed as if these third parties were part of the enterprise itself. Recorded Future's latest risk intelligence offering enables threat intelligence teams to better understand, monitor, and measure their real-time exposure to these third-party risks. Armed with this information, organizations can better assess and prioritize risk mitigation actions.
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     Recorded Future
By: Epicor     Published Date: Apr 12, 2019
As a business leader of a manufacturing company, you may be experiencing the challenges of competing in a digitally transformed marketplace. In our increasingly digital world, your ability to grow depends on how your business leverages the latest best-practice technology. Is your enterprise resource planning (ERP) system keeping pace? In this Forrester Research report—presented by Epicor Software—you’ll discover the latest insights on software as a service (SaaS) business solutions. SaaS business applications will evolve in the cloud to new levels of value in: Intelligence Flexibility Connectivity User experience The report also provides predictions and recommendations that will help guide your manufacturing business with its strategic growth initiatives. Download the report to learn more, and discover why you should change the way you think about cloud.
Tags : epicor erp, saas, applications
     Epicor
By: Unit4     Published Date: Apr 12, 2019
Looking to improve accuracy of enterprise budgeting and financial planning? Just 1% of firms can forecast costs at 90% accuracy 30 days out. This white paper by BPM Partners and sponsored by Unit4 shows how Artificial Intelligence (AI) makes a real impact on budgeting, planning, and analysis, and when complemented with deep machine learning, gives greater accuracy to data, budget rules and budget drivers. Download now and learn how AI can help auto-tune your FP&A.
Tags : corporate performance management, cpm, corporate budgeting, forecasting, financial planning and analysis, artificial intelligence
     Unit4
By: MicroStrategy     Published Date: Apr 11, 2019
By 2025, the total amount of data produced will grow to 175 zettabytes, according to IDC’s Data Age 2025 Report. How will enterprises evolve over the next year to manage and make the most of this unprecedented growth? Download 10 Enterprise Analytics Trends to Watch in 2019 to learn how leading organizations will win with embedded and augmented analytics, HyperIntelligence, collaboration, enterprise AI strategies, and more. This eBook details the transformational technologies data-driven organizations will need to leverage to get and stay ahead in 2019 and beyond, with contributions from thought leaders, including: Mike Gualtieri of Forrester Research Ray Wang and Doug Henschen of Constellation Research Mark Smith and David Menninger of Ventana Research Chandana Gopal of IDC Ronald van Loon, and more. Is your organization ready for the data-driven future? Read 10 Enterprise Analytics Trends to Watch in 2019 today to find out.
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     MicroStrategy
By: Epicor     Published Date: Apr 11, 2019
As a manufacturer, your ability to grow in this digital marketplace depends on how you leverage the latest best-practice technology. Is your enterprise resource planning (ERP) system keeping pace? This Forrester Research report—presented by Epicor Software—details the latest insight on software as a service (SaaS) business solutions. SaaS applications will evolve in the cloud to new levels of value in: • Intelligence • Flexibility • Connectivity • User experience Read the report for predictions and recommendations to help guide your strategic growth initiatives.
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     Epicor
By: Pure Storage     Published Date: Apr 10, 2019
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data
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     Pure Storage
By: Anaplan     Published Date: Apr 09, 2019
Connected organizations collaborate across business functions to dynamically steer business performance. Previous generations of planning software have fallen short of this vision, making collaboration difficult to achieve, scattering data across multiple sources, and providing inflexible planning models that require heavy IT support. This landscape motivated Anaplan to develop an innovative platform that enables Connected Planning across the entire enterprise. The FSN Innovation Showcase highlights three major innovations that support these objectives: • Anaplan’s proprietary Hyperblock® technology • The App Hub, a suite of 250+ industry-leading solutions • Developments in machine learning and artificial intelligence
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     Anaplan
By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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     Group M_IBM Q2'19
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