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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: 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: Zinier APAC     Published Date: Feb 26, 2020
"Smart machines are everywhere – in our homes, our driveways, even our power grids and assembly lines. Over the last three years, the number of connected devices has almost doubled, from 15 billion in 2015 to more than 25 billion today. By 2025, that number is expected to eclipse 75 billion. At the same time, wireless data traffic has seen explosive growth. In the United States, mobile data usage increased 54% over the last decade (Mobility Report. Ericsson, 2018). The rise of IoT-connected devices and increasing customer expectations around mobile broadband performance is putting tremendous pressure on existing infrastructure. In response, telecom companies are making massive capex investments in small cell networks."
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Zinier APAC
Published By: Infinidat EMEA     Published Date: May 14, 2019
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: May 14, 2019
Virtualization is the standard in enterprise IT environments for consolidating servers, enhancing businstrators that reduces their Total Cost of Ownership (TCO) and helps speed the application development process. However, as improvements have been made with server technology, storage technoless continuity, and improving business agility. VMware provides an architecture for server adminiogy has become the bottleneck. Legacy storage solutions can’t keep pace with thousands of virtual machines demanding maximum IOPS along with high bandwidth at the lowest latency. Infinidat’s InfiniBox removes the storage bottleneck for VMware environments. The InfiniBox enterprise storage array delivers faster-than-all-flash performance, high availability, and capacity density at petabyte scale. This Infinidat white paper is written for VMware and storage administrators to introduce them to the integration capabilities of the InfiniBox for VMware.
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Infinidat EMEA
Published By: Plotly     Published Date: Jan 30, 2020
Machine learning helps scientists find subtle patterns in data that empower them to quickly examine potential outcomes of complex processes. One such process is genome editing, during which, scientists make targeted modifications to an organism’s genome by inserting, deleting, or modifying its DNA. A recent study published in the international scientific journal, Nature, showcases the usage of machine learning in genome editing. The algorithm, inDelphi, was built by researchers from MIT and Harvard University by using Dash, a flexible Python and R framework for building analytic applications. Through Dash’s visual and reactive components, the researchers were able to create intuitive, elegant data visualizations, without JavaScript, CSS, or DevOps. Dash brought the algorithm predictions of gene editing to life. As a result, the scientists were able to predict the results of a specific mechanism of DNA repair called end-joining, making the genome editing process more predictable, cont
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Plotly
Published By: IBS Software     Published Date: Feb 11, 2020
Airline loyalty programs are one of the most targeted sectors for fraud, as they have enormous personal information on frequent flyers. While loyalty programs can help achieve great business results, fraudsters continue to exploit the programs for personal gain. With the increase of sophistication in fraud, detection platforms must remain agile in order to contain the risk and much more can be done to effectively protect members and the program. This paper discusses methods of identifying loyalty fraud within an organization and effectively handling the risks.
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IBS Software
Published By: IBS Software     Published Date: Feb 19, 2020
Airline loyalty programs are one of the most targeted sectors for fraud, as they have enormous personal information on frequent flyers. While loyalty programs can help achieve great business results, fraudsters continue to exploit the programs for personal gain. With the increase of sophistication in fraud, detection platforms must remain agile in order to contain the risk and much more can be done to effectively protect members and the program. This paper discusses methods of identifying loyalty fraud within an organization and effectively handling the risks.
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IBS Software
Published By: Crank Software     Published Date: Jan 22, 2020
No longer are rich animated user interfaces, voice control, and machine learning something that can only be done by an Application level processor (MPU). Today’s new class of MCUs have more processing power, graphics acceleration, and onboard resources to enable device manufacturers to deliver the next generation of products all while getting to market faster and with a lower BOM cost. In this webinar, you'll hear about the changes that are happening with the introduction of the new class of supercharged MCUs and the new user experience they're able to provide. Hear directly from expert panelists at NXP and Crank Software about how manufacturers can leverage this opportunity to support mass production of their products and turn them into ROI superstars. Get a sneak peek into the upcoming release of Storyboard Lite, the latest version of the popular embedded GUI design and development software purposely built to help embedded teams build optimized GUIs for this new class of MCU.
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Crank Software
Published By: Epson     Published Date: Feb 03, 2020
POS machines are a big part of the customer experience. It is important to identify key POS attributes from restaurant and guest perspectives to deliver future-ready in-line and online experiences. Download this whitepaper to discover how choosing the right POS can benefit both you and your customers.
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Epson
Published By: Astaro     Published Date: Jan 19, 2011
Botnets are based on similar principles as legitimate clouds, but serve malicious business interests. Find out more about how botnets work and the right steps after having detected infected machines within your own network.
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astaro, cloud computing, botnets, network, security
    
Astaro
Published By: Comcast Business     Published Date: Feb 07, 2020
Work transformation is a fundamental shift in the work model to one that fosters human-machine collaboration, enables new skills and worker experiences and supports an intelligent and dynamic environment un-bounded by time or physical space. Organizations that successfully transform the work environment will experience increased employee productivity and improved employee experience, engagement and innovation, resulting in greater business value and competitive differentiation.
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Comcast Business
Published By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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Cisco
Published By: Entrust Datacard     Published Date: Mar 20, 2017
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
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Entrust Datacard
Published By: Hewlett Packard Enterprise     Published Date: Jun 17, 2019
"Cloud-based predictive analytics platforms are a relatively new phenomenon, and they go far beyond the remote monitoring systems of a prior generation. Three key features differentiate cloud-based predictive analytics — data sharing, scope of monitoring, and use of artificial intelligence/machine learning (AI/ML) to drive autonomous operations. To help familiarize the uninitiated with specifically what types of value these systems can drive, IDC discusses them at some length in this white paper."
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Are you looking for information to help you with your artificial intelligence deep learning journey?  This Deep Learning Dummies guide will help you understand what AI, deep learning and machine learning can mean for you and your organization.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jan 14, 2020
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Lenovo     Published Date: Dec 17, 2019
We’re only as good as the tools we use. So, if you’re using Windows 7 on an aging machine, your toolbox is already well out of date. And from 14 January 2020, Windows 7 PCs will no longer receive Windows support. That means no more updates, and no more security patches. Luckily, there are some compelling reasons to modernise your PC fleet with Lenovo devices, powered by Windows 10 Pro, Office 365 and the Intel® vPro™ platform. - More Performance - More Security - More Productivity - More Connectivity - More Efficiency - More Mobility & Durability - More Savings
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Lenovo
Published By: SAP     Published Date: Sep 28, 2018
The Industrial Machinery industry is changing slower than it ever will and faster than it ever has. And customer demands are evolving at speeds never seen before. For companies serious about innovating at scale and transforming their business in order to dominate their market, it will take innovative thinking, disruptive technology and near flawless execution. This challenge, perhaps best described as the perfect blend of art and science, is more than achievable, but only if you have the right partner. Which is why we want you to meet Leonardo, by SAP. SAP Leonardo is a digital innovation system that enables organizations of all sizes to transform at scale with minimal risk and disruption. SAP Leonardo brings new technologies and services together to help businesses power their digital transformation. SAP Leonardo proves that truly transformative and sustainable innovation happens when technology, people, and data are combined.
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customer experience & engagement, digital transformation, sap
    
SAP
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
The bar for success is rising in higher education.  University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Are you looking for information to help you with your artificial intelligence deep learning journey?  This Deep Learning Dummies guide will help you understand what AI, deep learning and machine learning can mean for you and your organization.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: HERE Technologies     Published Date: Apr 04, 2019
Artificial Intelligence (AI) has already begun to improve targeting, segmentation, media buying and planning in the advertising industry. AI algorithms can extract complex patterns from vast numbers of data points, and in so doing, are able to self-correct and learn patterns. The revenue potential that improved personalization, segmentation and targeting that AI provides to marketers is huge. At HERE Technologies, we are placing AI and machine learning at the center of our products and services. We see the opportunity in automated machine learning to enrich the targeting and effectiveness of mobile advertising campaigns in real time. But the outcome of implementing such technology depends on the quality of data being fed into it from the outset. AI wouldn’t be as helpful if it’s being used alongside questionable location data or audience data. HERE’s location data provides a strong thread that can be woven throughout every stage of the media buying process, offering more context and
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location data, ad tech, location targeting
    
HERE Technologies
Published By: HERE Technologies     Published Date: Oct 23, 2019
Artificial Intelligence (AI)has already begun to improve targeting, segmentation, media buying and planning in the advertising industry. AI algorithms can extract complex patterns from vast numbers of data points, and in so doing, are able to self-correct and learn patterns. The revenue potential that improved personalization, segmentation and targeting that AI provides to marketers is huge. At HERE Technologies, we are placingAI and machine learning at the center of our products and services. Wesee the opportunity in automated machine learning to enrich the targeting and effectiveness of mobile advertising campaigns in real time. But the outcome of implementing such technology depends on the quality of data being fed into it from the outset. AI wouldn’t be as helpful if it’s being used alongside questionable location data or audience data. HERE’s location data provides a strong thread that can be woven throughout every stage of the media buying process, offering more context and ta
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HERE Technologies
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