machine learning

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Published By: Larsen & Toubro Infotech(LTI)     Published Date: Dec 05, 2019
The greatest challenge is to identify where AI will have the maximum impact and reap the greatest benefits; what type of AI initiatives the business should be undertaking; and how to implement Smart Automation as a step towards becoming an Intelligent Enterprise. Applications of AI cover a wide range of functional areas, so organizations must decide where AI will have the biggest impact. This will typically be in value added business areas: for example, in retail organizations it will be the marketing and sales function; in advanced manufacturing it will be in operations. Organizations with a “cloud first” strategy have a head start with AI. Deploying ERP on the cloud and cloud-ERPs is an essential requirement in the transformation towards a digital Intelligent Enterprise. These organizations can deploy and leverage multiple technologies: the Internet of Things (IoT), Machine Learning, Chatbots, Predictive Maintenance, Blockchain and Big Data.
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Larsen & Toubro Infotech(LTI)
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Feb 20, 2020
The greatest challenge is to identify where AI will have the maximum impact and reap the greatest benefits; what type of AI initiatives the business should be undertaking; and how to implement Smart Automation as a step towards becoming an Intelligent Enterprise. Applications of AI cover a wide range of functional areas, so organizations must decide where AI will have the biggest impact. This will typically be in value added business areas: for example, in retail organizations it will be the marketing and sales function; in advanced manufacturing it will be in operations. Organizations with a “cloud first” strategy have a head start with AI. Deploying ERP on the cloud and cloud-ERPs is an essential requirement in the transformation towards a digital Intelligent Enterprise. These organizations can deploy and leverage multiple technologies: the Internet of Things (IoT), Machine Learning, Chatbots, Predictive Maintenance, Blockchain and Big Data.
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Larsen & Toubro Infotech(LTI)
Published By: F5 Networks Singapore Pte Ltd     Published Date: Jun 18, 2019
Have you ever wished for an army of clones to do all your thankless tasks and chores? Well, that fantasy is becoming a reality—at least on the Internet. And while they may not be actual clones, bots have begun doing lots of digital dirty work. Managing your relationship with bots—good and bad—has become an inherent part of doing business in a connected world. With more than half of online traffic initiated by autonomous programs, it’s clear that bots are a driving force of technological change, and they’re here to stay. As bot technology, machine learning, and AI continue to evolve, so will the threats they pose. And while some bots are good, many are malicious—and the cybercriminals behind them are targeting your apps. Preparing your organization to deal with the impact of bots on your business is essential to developing a sustainable strategy that will enable you to grow as you adapt to the new bot-enabled world.
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F5 Networks Singapore Pte Ltd
Published By: F5 Networks Singapore Pte Ltd     Published Date: Dec 02, 2019
Managing your relationship with bots—good and bad—is part of doing business in a connected world. Bots are a driving force of technological change. As technology, machine learning, and AI evolve, so will the threats bots pose. Preparing for the impact of bots on your business is essential to a sustainable strategy that will enable you to grow and thrive as you adapt to this new world.
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F5 Networks Singapore Pte Ltd
Published By: Workday     Published Date: Dec 19, 2019
With AI changing the way organizations work, it’s important to know how these innovations are implemented in your critical ERP systems. This whitepaper explores how machine learning can make your HR and finance technology smarter and more agile and efficient. Read now to discover how Workday leverages AI to deliver value you can trust.
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Workday
Published By: CyberSource EMEA     Published Date: Jun 28, 2018
It has to be quick and easy for people to pay. At the same time, fraudsters are probing the weaknesses of new digital processes. As the person who can decide whether a transaction is accepted or rejected, fraud managers have a pivotal role. They’re not just preventing losses from chargebacks. They’re gatekeepers to accepting more revenue. It’s a complex job. But get it right, and they enable their business to engage customers better – across devices and places. And that can mean supporting the very growth of the business. In this landscape, the idea that a technology like machine learning might be the answer to all the industry’s needs is attractive. But while machine learning should be a key part of an effective fraud strategy, the truth is that there’s no silver bullet. So, in this paper, we’ll look at how best to put machine learning to use. By employing it in tandem with expert insight, merchants can use it to accept the optimal number of payments. And make a direct impact on the
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CyberSource EMEA
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Aug 13, 2019
Real-time ERP systems are converting purchase order into jobs and schedules through the integration of standard ERPs with Machine Learning (ML) and Artificial Intelligence (AI). This powerful combination of touchless digitization engine, Robotic Process Automation (“software robots” that perform tasks automatically), and APIs in a nonintrusive manner to highly automate process is convincing Business Leaders, CIOs and IT managers that AI has moved past hype. Download full White Paper.
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Larsen & Toubro Infotech(LTI)
Published By: Pure Storage     Published Date: Apr 18, 2018
Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning- especially deep neutral networks- make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject but also helps you get started building efficient deep learning networks.
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Pure Storage
Published By: Pure Storage     Published Date: Apr 18, 2018
Data is the fuel driving rapid innovation powered by artifi cial intelligence. Enterprises need modern data platform purpose-built for machine learning, accelerating insight while simplifying complex data pipelines in analytics.
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Pure Storage
Published By: HERE Technologies     Published Date: Sep 23, 2019
It’s time to move your supply chain into the realm of super-intelligent. This special report is for anyone looking to enhance their supply chain operations by utilizing the latest in technological advances such as artificial intelligence (AI), machine learning and the Internet of Things (IoT). With smart use of these tools, businesses can anticipate problems and develop solutions before they occur. Forward-thinking leaders are using this disruption to optimize their supply chains and push the quality of their findings to a whole new level. In it, you’ll learn: • The markers of a truly cognitive supply chain • The crucial role of location intelligence in supply chain optimization • The impact increased visibility has on every area of your supply chain, including asset, inventory, fleet and energy management
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HERE Technologies
Published By: HERE Technologies     Published Date: Jan 09, 2020
It’s time to move your supply chain into the realm of super-intelligent. This special report is for anyone looking to enhance their supply chain operations by utilizing the latest in technological advances such as artificial intelligence (AI), machine learning and the Internet of Things (IoT). With smart use of these tools, businesses can anticipate problems and develop solutions before they occur. Forward-thinking leaders are using this disruption to optimize their supply chains and push the quality of their findings to a whole new level. In it, you’ll learn: • The markers of a truly cognitive supply chain • The crucial role of location intelligence in supply chain optimization • The impact increased visibility has on every area of your supply chain, including asset, inventory, fleet and energy management
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HERE Technologies
Published By: Workday DACH     Published Date: Jan 31, 2020
"KI verändert die Arbeitsweise von Unternehmen grundlegend. Deshalb ist es wichtig zu verstehen, wie diese Innovationen in Ihre unternehmenskritischen ERP-Lösungen implementiert werden. Dieses Whitepaper untersucht, wie Machine Learning zu einer intelligenteren, agileren und effizienteren HR- und Finanztechnologie beitragen kann. Erfahren Sie darin, wie Workday Ihnen dank KI einen zuverlässigen Mehrwert bietet."
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Workday DACH
Published By: KPMG     Published Date: Jun 06, 2019
What impact will the cloud-enabled workplace have on your cybersecurity strategy? This year’s research shows that organisations are navigating a myriad of both old and new cybersecurity challenges to bring the cloud into scope. Read this to discover: • how growing cloud dependency has created distinctive challenges around cyber security • what the biggest cyber challenges are for organisations in this context • how intelligent automation and machine learning is being used to overcome operational obstacles hampering cloud security • a set of cybersecurity considerations for modern IT environments.
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KPMG
Published By: KPMG     Published Date: Jun 06, 2019
High-volume administrative tasks are a feature of every business. We helped a global bank develop a machine learning algorithm to help with the task of reviewing over 100,000 ‘sanctions alerts’ every day. Read this story to find out: • what other benefits AI can deliver beyond cost savings • how AI tools achieve greater accuracy than human reviewers • what it takes to apply AI and Machine Learning successfully in a regulated sector.
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KPMG
Published By: Schneider Electric     Published Date: Apr 20, 2018
This paper explains how seven trends are defining monitoring service requirements and how this will lead to improvements in data center operations and maintenance.
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digital remote monitoring, big data, machine learning, data center
    
Schneider Electric
Published By: SAS     Published Date: Apr 20, 2015
This conclusions paper introduces key machine learning concepts and describes new SAS solutions – SAS In-Memory Statistics for Hadoop and SAS Visual Statistics – that enable machine learning at scale.
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SAS
Published By: Workday     Published Date: Mar 02, 2018
Artificial intelligence (AI) and machine learning are redefining business analytics. But for HR, use cases can be much more complex. Learn five key steps to build a strong foundation for answering HCM questions today and position yourself to use AI in HR going forward.
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artificial intelligence, hcm, five steps
    
Workday
Published By: ClearStory     Published Date: Oct 07, 2014
Organizations are more data hungry than ever. Thanks to advances in machine learning and semantic processing, they can now gain new insights from that data. ClearStory Data helps business users gain new insights into their markets and the environments in which they operate.
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data hungry, semantic processing, insight, market enviornment, data management, data center
    
ClearStory
Published By: SAP SME     Published Date: Nov 02, 2017
La tecnología actual de IoT puede impulsar aún ás la innovación en las empresas de ENR. La disponibilidad de tecnología rentable basada en la nube, las analíticas y el machine learning ahora les permite a las empresas de ENR hacer mucho más con internet de las cosas (IoT).
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SAP SME
Published By: Juniper Networks     Published Date: Aug 07, 2017
Warum maschinelles Lernen entscheidend zur Cybersicherheit beiträgt
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Juniper Networks
Published By: Juniper Networks     Published Date: Aug 08, 2017
Pourquoi l’apprentissage automatique est essentiel pour la cybersécurité
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Juniper Networks
Published By: Google     Published Date: Aug 09, 2017
The business world’s focus on machine learning (ML) may seem like an overnight development, but the buzz around this technology has been steadily growing since the early days of big data.
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machine learning, big data, analytics, data analytics
    
Google
Published By: Fiserv     Published Date: Nov 09, 2017
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively. So how can financial institutions respond to this growing threat? Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs. Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
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kyc, know your customer, beneficial ownership, financial crime, financial crimes, compliance, enhanced due diligence, suspicious activity report, currency transaction report, aml directive, anti-money laundering laws
    
Fiserv
Published By: Fiserv     Published Date: Jan 16, 2018
For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance, Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes: •Global payment initiatives •Open Banking standards •Artificial intelligence and machine learning •Consumer demand for real-time fraud prevention and detection
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2018 trends, aml trends, money laundering trends
    
Fiserv
Published By: Splunk     Published Date: Sep 10, 2018
collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside other tools to help identify trends, issues and relationships not easily observable. Read this e-book to get a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment.
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
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