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Published By: CA Technologies EMEA     Published Date: Sep 13, 2018
Introduzione CA Project & Portfolio Management (CA PPM) 15.3 consente di personalizzare i progetti per qualsiasi business unit, con la semplicità del drag-and-drop. Dal complicato workflow per HR o alla semplice gestione delle attività per le vendite, oggi i lavoratori riescono ad avviare i progetti in pochi minuti, anziché in giorni. È possibile integrare la collaborazione all'interno dell'applicazione per eliminare riunioni ridondanti, una familiare griglia di tipo Microsoft Excel® per la gestione dei budget, una nuova connessione per strumenti di Business Intelligence (BI) di terze parti che consentono di trovare risposte, e si ottiene la più moderna app di Project Portfolio Management attualmente sul mercato.
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CA Technologies EMEA
Published By: Cognizant     Published Date: Oct 23, 2018
As financial services firms embrace digital, they need business assurance strategies that extend conventional quality assurance methods to address the nuances of emerging technologies such as blockchain and advanced artificial intelligence (AI). At the same time, they also need assurance that their strategies can accommodate changes in the ever-shifting regulatory landscape wrought by the acceleration of digital within the core of their businesses. This white paper explores how financial firms can excel in digital by holistically addressing the quality of business processes built on disruptive technologies while assuring compliance to regulations.
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cognizant, finance, digital
    
Cognizant
Published By: Cognizant     Published Date: Oct 23, 2018
A group of emerging technologies is rapidly creating numerous opportunities for life sciences companies to improve productivity, enhance patient care and ensure regulatory compliance. These technologies include robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), blockchain, the Internet of Things (IoT), 3-D printing and augmented reality/ virtual reality (AR/ VR). This whitepaper presents a preview of five pivotal technology trends remaking the life sciences industry: AI and automation, human augmentation, edge analytics/ processing, data ownership and protection, and the intermingling of products and services.
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cognizant, life sciences, patient care
    
Cognizant
Published By: Cognizant     Published Date: Oct 23, 2018
Incorporating artificial intelligence into your business systems and processes is a journey unlike any other digital technology implementation. There is no utility AI. Every company must chart its own path to success. This white paper offers insights and recommendations to help organizations identify use cases, pilot and learn from them, and then repeat the process so AI becomes a key element in the organization’s continuous improvement.
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cognizant, artificial intelligence
    
Cognizant
Published By: Cognizant     Published Date: Oct 23, 2018
The implications of AI’s unique approach are profound: AI can learn by example rather than through brute-force programming; can understand human intention and emotions and act accordingly; and can handle extraordinarily complex relationships of data that are beyond the capability of human analysts working alone. AI can multiply what we currently do and take us to experiences we’ve never had before, at a speed and scale that will change entire industries. In these case studies, we’re pleased to present a range of real-world examples to guide your imagination. Here, you’ll find situations where companies like yours found AI to be part of the solution. These examples show how AI can enhance an existing application, workflow or process and reduce friction. This e-book presents how 10 organizations are using artificial intelligence to accelerate decision making, improve business processes, enhance user engagement, reduce costs and drive remarkable growth and profitability.
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cognizant, artificial intelligence
    
Cognizant
Published By: Intapp     Published Date: Jan 09, 2019
Intapp Time provides superior business intelligence thatchangesyour firm’sfundamental relationship with time.Thisunified suite of applications gives timekeepers access to time data and capture wherever they are: in the office, on a mobile device, online and offline.It is user-centric, offering a completely automated option while fullysupporting hands-on tracking—contemporaneous or reconstructionist.Intapp Time helps your business mine time data to reveal new sources of revenue, inform staff decisions, increase project efficiency, and reduce time leakage.
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business, business intelligence, time, tax, time for tax, intapp, applications, time data, automation, reporting, timekeeping, audit, accounting, consulting, professional services, active time capture, passive time capture, time tracking
    
Intapp
Published By: Intapp     Published Date: May 10, 2019
The Cornerstone of Financial Control Time equals money. Time plus data equals control. All professionals, whether in management, consulting, engineering, or accounting, must be confident that their value is reflected in their bottom line. One of the primary factors driving that compensation is the amount of time spent on a particular subject or client. But too often front line earners at those firms don’t provide the clean, data-rich timesheets needed to accurately gauge the effort required by each project.
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business, business intelligence, time, tax, time for tax, intapp, applications, time data, automation, reporting, timekeeping, audit, accounting, consulting, professional services, active time capture, passive time capture, time tracking
    
Intapp
Published By: Intel     Published Date: Apr 11, 2019
Robots play a major role in making manufacturing processes more efficient and less labor intensive. They can help control costs and improve quality, as well as increase productivity. The complexity of robotic system design, however, creates obstacles for many manufacturers, and this is made more difficult by the need to identify and integrate subsystems from multiple vendors. NexCOBOT, a NEXCOM company, offers a flexible, modular robotics solution integrating artificial intelligence (AI) with machine vision and powered by the new Intel® Vision Accelerator Design products. The solution brings together the insight of artificial intelligence, the mobility of robotics, and the capabilities of machine vision, providing a new level of precision and optimization for manufacturing and industrial implementations
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Intel
Published By: Intel     Published Date: Feb 27, 2020
Intel teamed up with Philips to show that servers powered by Intel® Xeon® Scalable processors could be used to efficiently perform deep learning inference on patients’ X-rays and computed tomography (CT) scans, without the need for accelerators. The ultimate goal for Philips is to offer artificial intelligence (AI) to its end customers without significantly increasing the cost of the customers’ systems and without requiring modifications to the hardware deployed in the field. Philips demonstrated breakthrough performance for AI inferencing of healthcare workloads run on servers powered by Intel® Xeon® Scalable processors and optimized with the OpenVINO™ toolkit.
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Intel
Published By: Google     Published Date: Oct 26, 2018
As businesses have embraced application development, they have also adopted cloud technologies that provide their teams lesser reliance on hardware. In this sponsored Economist Intelligence Unit report, we look at the real-life experiences of over 1,000 business executives and understand the importance of close alignment between development teams, C-suite, and the wider business. Read the report and find out how you can manage application development to unlock its full potential.
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Google
Published By: Secureworks ABM UK 2017     Published Date: Oct 23, 2017
SecureWorks provides an early warning system for evolving cyber threats, enabling organisations to prevent, detect, rapidly respond to and predict cyber attacks. Combining unparalleled visibility into the global threat landscape and powered by the Counter Threat Platform — our advanced data analytics and insights engine —SecureWorks minimises risk and delivers actionable, intelligence driven security solutions for clients around the world.
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cyber security, cyber security framework, data security, firewall, general data protection regulation, incident and problem management, information security, intrusion detection, intrusion prevention, log management, malware, vulnerabilities, managed security services, network security, pci compliance, penetration testing, ransomware security consulting, security management, security monitoring, vulnerability assessments
    
Secureworks ABM UK 2017
Published By: Oracle Analytics     Published Date: Oct 06, 2017
Business decision making is undergoing a data-infused renaissance. Organizations are tired of the limitations of spreadsheets and dealing with long IT business intelligence (BI) development cycles just to gain access to the data they need now. Fortunately, with the advent of visual analytics and discovery tools (many offered in the cloud), the journey to data insight is getting simpler and faster. Rather than trying to divine meaning from a group of predefined reports or simple static dashboards, visual analytics helps users gain insights from data more quickly using intuitive data visualization. Increasingly, visual analytics tools provide easy-touse data preparation features for better data access. They support collaboration, mashups, and storytelling. TDWI Research sees growing interest in applying more modern, up-to-date tools for working with data.
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Oracle Analytics
Published By: Google     Published Date: Jan 24, 2019
As businesses have embraced application development, they have also adopted cloud technologies that provide their teams lesser reliance on hardware. In this sponsored Economist Intelligence Unit report, we look at the real-life experiences of over 1,000 business executives and understand the importance of close alignment between development teams, C-suite, and the wider business.
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Google
Published By: Dell & Microsoft     Published Date: Aug 14, 2013
Information is the engine of business growth in the digital age. Market intelligence, customer information, intellectual property and other data can be harnessed to create a quantifiable competitive advantage for a company and lay the path for future expansion. Yet as critical as data can be, the sweeping year-over-year proliferation in data volumes can quickly overwhelm an IT organization. This is much more than a budget problem: Without an effective data storage strategy, an organization is putting a critical resource at risk.
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data storage management, microsoft windows server, market intelligence, customer information, intellectual property, data, it organizations, storage strategy
    
Dell & Microsoft
Published By: Box     Published Date: Nov 06, 2019
Unstructured business content contains critical information that can be tough to extract, manage, and analyze. Artificial intelligence capabilities can automate many manual processes and help unlock this valuable resource. To find out more download this whitepaper today.
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Box
Published By: Dassault Systèmes     Published Date: Nov 11, 2019
What challenges do companies have to face today? How can they successfully digitize their production? Not only connectivity, artificial intelligence and flexible automation play an important role. When it comes to the strategy and implementation of digital manufacturing, the same missteps are often made. In order to capture and preserve the value of digital technologies, there are six essential factors to consider. Learn more and download the McKinsey report "6 factors for a successful digital manufacturing transformation”.
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Dassault Systèmes
Published By: IBM     Published Date: May 02, 2013
The enormous volume, velocity and variety of data flooding the enterprise, along with the push for analytics and business intelligence, is creating a massive challenge that is overwhelming traditional storage approaches. As the demand for capacity continues to escalate, companies must be able to effectively and dynamically manage the storage supply, but also the demand for storage resources. The key is to optimize the infrastructure through standardization and virtualization, and replace manual tasks with policy-based automation.
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optimize, storage, efficient, data center, analytics, business, virtualization
    
IBM
Published By: IBM     Published Date: Jun 26, 2013
An Economist Intelligence Unit research program commissioned by IBM.
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holistic, risk management, business continuity planner
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
Building and managing cloud resiliency solutions in-house is difficult. Many organizations prefer to work with a third-party technology provider for the development and management of cloud solutions.
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cloud computing, business intelligence, cloud solutions, recovery point objectives, virtualization technologies, recovery solutions
    
IBM
Published By: IBM     Published Date: Oct 20, 2015
This paper introduces the IBM Predictive Customer Intelligence solution, which is designed to help your company create personalized, relevant experiences for individual customers with a focus on driving new revenue.
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ibm, customer, predictive, intelligence, revenue, networking, software development, it management, knowledge management
    
IBM
Published By: IBM     Published Date: Oct 20, 2015
See how Predictive Customer Intelligence can help identify opportunities to generate revenue, build loyalty, increase wallet share, and improve service.
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ibm, predictive, customer, intelligence, wallet share, revenue, software development, it management, knowledge management
    
IBM
Published By: IBM     Published Date: Jan 09, 2017
Reviewing a year of serious data breaches, major attacks and new vulnerabilities. The IBM X-Force 2016 Cyber Security Intelligence Index offers a high-level overview of the major threats to businesses worldwide in 2015.
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ibm, security, ibm x-force, cyber security intelligence index., cyber security, intelligence, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
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predictive analytics, increase sales, customer retention, fraud management, consumer expectations
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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scalability, data warehousing, resource planning
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage. The IBM® data replication portfolio is designed to address these issues through a highly flexible one-stop shop for high-volume, robust, secure information replication across heterogeneous data stores. The portfolio leverages real-time data replication to support high availability, database migration, application consolidation, dynamic warehousing, master data management (MDM), service
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ibm, infosphere, data replication, security, data storage
    
IBM
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