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Published By: Equinix EMEA     Published Date: May 22, 2019
Much has been written about the impact of technology on insurance, this most traditional of industries. Artificial intelligence (AI), connected cars, drones and the Internet of Things (IoT) are all becoming integral to the insurance and automotive industries. This becomes obvious when using your car’s navigation system – an everyday action that might well lead to a chain of events few would even think of today. To find out more download this whitepaper today.
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Equinix EMEA
Published By: Pure Storage     Published Date: Apr 18, 2018
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. Amazon CEO Jeff Bezos spoke about the potential of artificial intelligence and machine learning at the 2017 Internet Association‘s annual gala in Washington, D.C., “It is a renaissance, it is a golden age,” Bezos said. “We are solving problems with machine learning and artificial intelligence that were in the realm of science fiction for the last several decades. Natural language understanding, machine vision problems, it really is an amazing renaissance.” Machine learning and AI is a horizontal enabling layer. It will empower and improve every business, every government organization, every philanthropy
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Pure Storage
Published By: Pure Storage     Published Date: Sep 27, 2019
At no other time has data played such a crucial role in the success of our commercial sector, and no more so than in financial services. We can see this powerfully illustrated when we pause to consider the growth of data driven ‘technologies’ such as Artificial Intelligence and their prevalence in driving innovation in areas such as risk management, multi-channel customer experience and fraud detection. So keen is the sector to use data to deliver advantage, that PwC says startups with a strong AI-based offer attract some of the most lucrative funding – to the tune of $1 billion over the past two years.1 With this as our landscape, and the continued drive to deliver data-driven innovation the prospect of disruption and downtime is something that cannot be countenanced. This being the main reason why the senior management of most organisations continue to buy into tried-and-tested Disaster Recovery (DR) strategies. We all feel assured that if we ‘double up’ our investments in – as f
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Pure Storage
Published 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
Published By: Pure Storage     Published Date: Apr 10, 2019
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly, and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: Unit4     Published Date: Apr 12, 2019
Looking for a smarter way of financial planning and budgeting? An integrated financial planning tool makes the annual budgeting process more effective and efficient, and with one centralized source of truth it is always up-to-date. Learn how Unit4 Prevero can transform your budgeting and forecasting process: from integrating operational budgets, automating key processes, supporting multiple scenario simulations, through to using artificial intelligence and deep machine learning to improve accuracy of data and power your decision making.
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integrated financial planning, unit4 prevero, corporate performance management, cpm, financial planning, corporate budgeting, forecasting, artificial intelligence
    
Unit4
Published 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.
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corporate performance management, cpm, corporate budgeting, forecasting, financial planning and analysis, artificial intelligence
    
Unit4
Published By: Google     Published Date: Jan 08, 2018
Today’s smart computers can beat board game champions, master video games, and learn to recognize cats. No wonder artificial intelligence has captured the imaginations of business and IT leaders. And indeed, AI is starting to transform processes in established industries, from retail to financial services to manufacturing. Read this guide from Google Cloud and learn how you can unlock the transformational power of information and get useful insights from a vast and complex landscape of data.
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data analytics, machine learning, big data, artificial intelligence
    
Google
Published By: Google     Published Date: Aug 23, 2018
Today’s smart computers can beat board game champions, master video games, and learn to recognize cats. No wonder artificial intelligence has captured the imaginations of business and IT leaders. And indeed, AI is starting to transform processes in established industries, from retail to financial services to manufacturing. Read this guide from Google Cloud and learn how you can unlock the transformational power of information and get useful insights from a vast and complex landscape of data.
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Google
Published By: CA Technologies EMEA     Published Date: Sep 30, 2018
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
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continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA
Published By: CA Technologies_Business_Automation     Published Date: Jun 29, 2018
There’s no turning back from the fact that disruptive business automation is here. As artificially intelligent functionality delivers more capabilities that we increasingly take for granted, it’s difficult to grasp all the implications of this transformation. In this eBook, the aim is to illustrate what it means for business, for the people who work in those businesses, and for people served by those businesses every day. To better understand how automation is changing business, and with the generous support of CA Technologies, we reached out to 39 experts to get their opinion. By providing practical insights into what is happening today and what may be just over the horizon, I believe this eBook will be a valuable resource for anyone planning an automation strategy.
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CA Technologies_Business_Automation
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: 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: Corrigo     Published Date: Nov 01, 2019
PropTech is disrupting the facilities management and real estate industries – from big data and IoT to artificial intelligence and augmented reality. The latest advances in PropTech are accelerating change in facilities management like never before, driving bottom line value and helping future-proof FM operations. The promise of PropTech is why our Corrigo team is investing so heavily in frictionless, self-learning platforms to help our clients use technology to truly transform their businesses. But as we amplify FM ops with new technology, we are just as passionate about helping our clients optimize their current processes. Why? Because making even small changes today can mean huge savings for their bottom line. In fact, 80% of organizations are leaking more FM value right now than they could immediately gain with new, emerging tech strategies. That’s no small leak – it’s a staggering loss for organizations of all sizes. After analyzing 700 million facilities management transactions a
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Corrigo
Published By: Corrigo     Published Date: Nov 01, 2019
Think about all the ways your life today is different than it was ten years ago. Think about how you shop, how you get around, how you plan travel, and how you stay in touch. So many things that used to be a hassle are now almost effortless. If your life feels different, it’s because you’re living in a new era – what experts are calling the 4th Industrial Revolution. You’ve probably heard some of the more catch-phrased components – big data, artificial intelligence, deep analytics. Some of these still seem like science fiction, but they are very real, very active, and crucial parts of what we at Corrigo call the Intelligence Economy. In the Intelligence Economy, data is collected, crunched, and activated to solve problems and create greater value for customers, partners, and employees. It’s the information, insights, and automations that enhance experiences, predict needs, strengthen connections, and deliver the right info or action at the right time, in the right way. And the Intellig
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Corrigo
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: Jun 13, 2018
In the digital era, businesses in every industry are becoming technology companies. New business models such as “product as a service” (in which traditional manufacturers and distributors are driving new revenue streams by integrating software-based services into their offerings) and new operational models, such as collaboration, social business, and mobile platforms, mean that nearly every company is deriving at least part of its revenue from cloudbased solutions. So, why are so many of these new cloud solution providers building their businesses on shaky foundations? The truth is, when your business is based in the cloud, you need more than on-demand leased compute and storage capacity. You need a cloud that is enterprise-grade, secure, and resilient. Equally important—and overlooked by too many cloud solution providers—you need a cloud platform that is able to grow your business into the future, supporting next-generation functionality like Artificial Intelligence (AI). No matter wh
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IBM
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Sep 17, 2019
US based automobile had multiple ServiceNow instances across multiple companies along with non-standardization of tools and processes. LTI helped in implementing end to end ServiceNow modules including ITSM, ITOM: Orchestration + Event Management thereby achieving high scalability in integrated processes across globe.
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application management, artificial intelligence, b2b technology, cloud applications, cloud architect
    
Larsen & Toubro Infotech(LTI)
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Sep 17, 2019
i. Brief – US based automobile had no asset management and CMDB discovery which lead to longer procurement lifecycles. LTI implemented end to end ServiceNow and operational support using global delivery model. Also helped in optimising integrations after reviewing license consumptions which then helped in reducing the process implementation to mere 2.5 months ii. Benefits 1. Hybrid process governance helped reduction in TCO by 25% 2. Reduction in number of licenses by 20% using integration with SharePoint
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application management, artificial intelligence, b2b technology, cloud applications, cloud architect
    
Larsen & Toubro Infotech(LTI)
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Sep 17, 2019
US based Media & Entertainment giant had challenges in multiple integration of 3rd party tools. LTI helped in implementing end to end ServiceNow modules and integration of multiple 3rd party tools like Verizon, Sharepoint, Table API etc which thereby provided higher adoption of portal with enhanced user experience.
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application management, artificial intelligence, b2b technology, cloud applications, cloud architect
    
Larsen & Toubro Infotech(LTI)
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Sep 17, 2019
Nordics based financial company had challenges in migrating the old legacy network design to Cisco ACI for a new Datacentre. Also it did not had service overview and CMDB to support 150 business services transition. LTI leveraged and implemented several ServiceNow modules, customised 100 odd patterns for 150 business services and executed extensive integration of 25 legacy systems. These transactions and implementation helped in easy cost computation for new business expansions ii. Benefits 1. 25% reduction in DC migration time by creating business service oriented move groups 2. Accurate costing of each business service for replication in new regions/geographies
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application management, artificial intelligence, b2b technology, cloud applications, cloud architect
    
Larsen & Toubro Infotech(LTI)
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