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Published By: Intel     Published Date: Nov 14, 2019
Infrastructure considerations for IT leaders By 2020, deep learning will have reached a fundamentally different stage of maturity. Deployment and adoption will no longer be confined to experimentation, becoming a core part of day-to-day business operations across most fields of research and industries. Why? Because advancements in the speed and accuracy of the hardware and software that underpin deep learning workloads have made it both viable and cost-effective. Much of this added value will be generated by deep learning inference – that is, using a model to infer something about data it has never seen before. Models can be deployed in the cloud or data center, but more and more we will see them on end devices like cameras and phones. Intel predicts that there will be a shift in the ratio between cycles of inference and training from 1:1 in the early days of deep learning, to well over 5:1 by 2020¹. Intel calls this the shift to ‘inference at scale’ and, with inference also taking up
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Intel
Published By: Intel     Published Date: Nov 14, 2019
You can migrate live VMs between Intel processor-based servers but migration in a mixed CPU environment requires downtime and administrative hassle A study commissioned by Intel Corp. One of the greatest advantages of adopting a adopting a public, private, or hybrid cloud environment is being able to easily migrate the virtual machines that run your critical business applications—within the data center, across data centers, and between clouds. Routine hardware maintenance, data center expansion, server hardware upgrades, VM consolidation, and other events all require your IT staff to migrate VMs. For years, one powerful tool in your arsenal has been VMware vSphere® vMotion®, which can live migrate VMs from one host to another with zero downtime, provided the servers share the same underlying architecture. The EVC (Enhanced vMotion Compatibility) feature of vMotion makes it possible to live migrate virtual machines even between different generations of CPUs within a given architecture.
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Intel
Published By: ServiceSource     Published Date: Nov 12, 2019
It’s important to grow your customer base and market share. But by focusing all of your attention on net new sales, you’re only scratching the surface of your revenue potential. While this strategy might work out in the short term, it’s a surefire recipe for stagnation down the road. It’s time for a different approach – one that is focused not only on continuously improving customer outcomes, but also increasing the profitability of your relationship with them. Download our playbook, “Mining for Value: A Comprehensive Guide to Customer Expansion,” to learn how you can maximize the value of your existing customers.
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ServiceSource
Published By: Dassault Systèmes     Published Date: Nov 11, 2019
Learn about challenges, solutions and benefits of 7 DELMIA customers from different industries. Delivering quality products is important in all industries, but it is especially critical where consumer health and safety are affected. Automotive is one of those industries. That’s why Autoliv, a supplier of airbags and safety systems to all of the global automotive OEM’s, wanted to better manage quality and material flows, achieve greater traceability, and drive continuous improvement across its manufacturing plants. They have chosen DELMIA Apriso as their manufacturing execution platform. Autoliv has now an enterprise solution to streamline production operations from planning, to inventory and material flow management, to traceability and continuous improvement.
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Nov 11, 2019
Learn about challenges, solutions and benefits of 7 DELMIA customers from different industries. Delivering quality products is important in all industries, but it is especially critical where consumer health and safety are affected. Automotive is one of those industries. That’s why Autoliv, a supplier of airbags and safety systems to all of the global automotive OEM’s, wanted to better manage quality and material flows, achieve greater traceability, and drive continuous improvement across its manufacturing plants. They have chosen DELMIA Apriso as their manufacturing execution platform. Autoliv has now an enterprise solution to streamline production operations from planning, to inventory and material flow management, to traceability and continuous improvement.
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Dassault Systèmes
Published By: SAS     Published Date: Nov 08, 2019
Organizations realize they need analytics to run, grow, and differentiate their products and services. More than just driving strategic decision making, they need to incorporate analytics into their high-volume operational and transactional decisions every minute of every day. This means that analytics is no longer just the responsibility of the data science team. Organizations have to continuously deliver analytics into operational systems in a systemic, high-quality and dependable way.
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SAS
Published By: MicroStrategy     Published Date: Nov 08, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact. Analytics and business intelligence (A&BI) platforms exhibit differences in functional capabilities, particularly in their support for advanced analytics, data source connectivity and embedded functionality. As the market matures, the capabilities required to build and deliver user-friendly analytics dashboards are the least differentiated. The trend toward assisting users with augmented data discovery functionality continues, but many products still lack enough support for this critical capability. When viewed across the whole span of capabilities, significant differences remain between competing platforms and, therefore, also between which are most appropriate for a given use case. In some cases, th
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MicroStrategy
Published By: MuleSoft     Published Date: Nov 08, 2019
An Airbus A380 is made up of 7 million different pieces with each piece coming from different parts of the world including Germany, Spain, UK, and France. Assembling the final plane requires support from various IT and operations teams. Leveraging legacy supply chain technology to support on-time arrival and coordination of parts was incredibly challenging, and only worsened with the need for new parts and pressure of massive growth. In order to scale, Airbus needed to think through how to transform and digitize its global supply chain. Hear from Airbus and how they are leveraging Anypoint Platform to enhance their production efficiency, and ultimately, drive innovation throughout the entire supply chain. In this webinar, you will learn how to: Leverage APIs to support a complex manufacturing process with multiple global partners. Foster collaboration amongst siloed IT teams through API reuse and API-led connectivity. Reduce time to market by providing end-to-end visibility acros
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MuleSoft
Published By: ttec     Published Date: Nov 08, 2019
Today’s most successful brands blend Artificial Intelligence (AI) and automation with human intelligence (HUMINT) to augment their customer and employee experience strategies in the contact center – and as a result, they’re winning over customers. While some tasks are perfect for automation – think about those mundane, repetitive, low-value actions – the truth is, AI simply cannot replicate the “human touch.” Understanding the strengths of each kind of intelligence (AI + HUMIT), and using them to cooperatively deliver exceptional employee and customer experiences is a pivotal competitive differentiator for brands. These leading brands agree there are four specific ways to drive the greatest outcomes – and we go into detail about them in all our Contact Center Collaborative Intelligence strategy guide.
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ttec
Published By: TIBCO Software     Published Date: Nov 07, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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TIBCO Software
Published By: Automation Anywhere     Published Date: Nov 06, 2019
EY is the knowledge partner in this study In this whitepaper, Ernst & Young and Automation Anywhere discuss how to estimate the total cost of ownership (TCO) for an intelligent automation solution, from licencing and infrastructure, consultancy, development through to training. Including; different scaling strategies and the suggested levers to optimise TCO.
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cost of ownership, scaling strategies
    
Automation Anywhere
Published By: Automation Anywhere     Published Date: Nov 06, 2019
Learn why companies aren’t currently embracing RPA at scale and understand how to tackle different scaling challenges, from reaching the ceiling of a small Proof of Concept to keeping your people and RPA strategies aligned. Find out how scale was successfully achieved for some of Automation Anywhere’s customers, including Bancolombia.
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scaling challenges, proof of concept, bancolombia
    
Automation Anywhere
Published By: Automation Anywhere     Published Date: Nov 06, 2019
Learn why companies aren’t currently embracing RPA at scale and understand how to tackle different scaling challenges, from reaching the ceiling of a small Proof of Concept to keeping your people and RPA strategies aligned. Find out how scale was successfully achieved for some of Automation Anywhere’s customers, including Bancolombia.
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scaling challenges, proof of concept, bancolombia
    
Automation Anywhere
Published By: Rackspace     Published Date: Nov 06, 2019
Insights into avoiding migration regret amongst CxO’s: The decision to move business workloads and applications to the cloud impacts all parts of the business and isn’t a decision isolated to the IT team. Our latest research study on the different motives, concerns and experiences of executive peers and business stakeholders when securing buy-in for a strategic IT move found 97% of C-level executives in ANZ suffered from migration regret during their first cloud migration. Packed with telling hindsight, over 200 c-suite executives shared their expectations and experiences during the cloud migration journey. They reveal what they would have done differently - namely enhanced communication and a clear plan of action - and offer practical advice to help others get buy-in internally and secure funding to support a move to the cloud.
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Rackspace
Published By: Achievers     Published Date: Nov 06, 2019
Employee engagement is not a trend. Businesses that don’t address engagement, that fail to actively – and urgently – engage their employees risk being left far, far, behind. Current methods of increasing employee engagement aren’t working—or, rather, aren’t working fast enough. But wait, what exactly is engagement, and how does it differ from culture or the employee experience? This ebook uncovers what defines engagement and how it looks from different employee perspectives. Learn what it takes to create an agile approach to engagement – before it’s too late
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Achievers
Published By: ttec     Published Date: Nov 04, 2019
As customer service organizations grow more complex, the day-to-day work of a contact center agent will change. Automation will tackle simple, repetitive tasks; agents will need different skills to handle more complex requests. This report helps contact center leaders understand how they need to hire a different type of workforce as AI, automation, and the changing nature of contact center work impact agent responsibilities, metrics, and performance — and what that means for customer experiences in the future.
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ttec
Published By: Riskified     Published Date: Nov 04, 2019
To maximize success, eCommerce merchants need to be familiar with the unique shopping behavior and fraud trends of the holiday season. We’ve identified six key ‘sub-seasons’ and insights pertaining to geographies, channels and shipping methods - to give actionable tips to ensure a safe and profitable season. This report explores how merchants can stay competitive and boost revenue, while meeting the sophisticated expectations of holiday shoppers. What you will get from this report: 1. Tools to enable more cross-border eCommerce: Get insights to help you capitalize on the holiday season’s opportunities 2. Fraud trends for different segments of the holiday season: Better manage risk during the most lucrative quarter for eCommerce merchants 3. Insights on six key holiday sub-seasons: Identify unique consumer preferences to boost revenue
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Riskified
Published By: DigitalOcean, LLC     Published Date: Nov 04, 2019
DigitalOcean commissioned Cloud Spectator to evaluate the performance of virtual machines (VMs) from three different Cloud Service Providers (CSPs): Amazon Web Services, Google Compute Engine and DigitalOcean. Cloud Spectator tested the various VMs to evaluate the CPU performance, Random Access Memory (RAM) and storage read and write performance of each provider’s VMs. The purpose of the study was to understand Cloud service performance among major Cloud providers with similarly-sized VMs using a standardized, repeatable testing methodology. Based on the analysis, DigitalOcean’s VM performance was superior in nearly all measured VM performance dimensions, and DigitalOcean provides some of the most compelling performance per dollar available in the industry.
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DigitalOcean, LLC
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: Salesforce     Published Date: Oct 30, 2019
In recent years, advancements in technology have exponentially impacted how quickly and effectively customers are able to get what they want. This has triggered a sea change in rising expectations where the overall customer experience is concerned. In turn, customer service, once considered by many to be a cost center, can now provide a coveted point of differentiation. All of which is to say, a business’ success now largely depends on disrupting the traditional customer service model. So how can your business do that? In this paper, I’ll answer that question – by describing a more disruptive model of customer service and, where applicable, explaining how Salesforce can support that model.
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Salesforce
Published By: Salesforce     Published Date: Oct 30, 2019
Technology — especially easy-to-use cloud software built for businesspeople — is no longer just a concern for the technologist in the IT group. Cloud technology is on the minds of the entire C-suite in today’s growing businesses: CEOs, COOs, CFOs, and VPs of Sales and Service are all thinking about how to strategize for booming growth that scales and disrupts. Leaders are increasingly looking to transform the customer experience to differentiate their business. With instant, personalized service at every step, companies can engage with their customers in a whole new way along the customer journey. This is a critical time in customer service as service leaders transition from a cost center to a strategic growth engine. Today, the service department is responsible for delivering service that not only solves a problem, but also delivers a 1-to-1 conversational experience that builds customer loyalty. With service connected to a complete CRM, businesses access complete customer insights ac
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Salesforce
Published By: Salesforce     Published Date: Oct 30, 2019
Technology — especially easy-to-use cloud software built for business people — is no longer just a concern for the technologist in the IT group. Cloud technology is on the minds of the entire C-suite in today’s growing businesses: CEOs, COOs, CFOs, and VPs of Sales and Service are all thinking about how to strategize for booming growth that scales and disrupts. Leaders are increasingly looking to transform the customer experience to differentiate their business. With instant, personalized service at every step, companies can engage with their customers in a whole new way along the customer journey. This is a critical time in customer service as service leaders transition from a cost center to a strategic growth engine. Today, the service department is responsible for delivering service that not only solves a problem, but also delivers a 1-to-1 conversational experience that builds customer loyalty. With service connected to a complete CRM, businesses access complete customer insights
Tags : 
    
Salesforce
Published By: Salesforce     Published Date: Oct 30, 2019
Please note that this piece of content is in local language. In recent years, advancements in technology have exponentially impacted how quickly and effectively customers are able to get what they want. This has triggered a sea change in rising expectations where the overall customer experience is concerned. In turn, customer service, once considered by many to be a cost center, can now provide a coveted point of differentiation. All of which is to say, a business’ success now largely depends on disrupting the traditional customer service model. So how can your business do that? In this paper, I’ll answer that question – by describing a more disruptive model of customer service and, where applicable, explaining how Salesforce can support that model.
Tags : 
    
Salesforce
Published By: Salesforce     Published Date: Oct 30, 2019
Please note that this piece of content is in local language. Technology — especially easy-to-use cloud software built for business people — is no longer just a concern for the technologist in the IT group. Cloud technology is on the minds of the entire C-suite in today’s growing businesses: CEOs, COOs, CFOs, and VPs of Sales and Service are all thinking about how to strategize for booming growth that scales and disrupts. Leaders are increasingly looking to transform the customer experience to differentiate their business. With instant, personalized service at every step, companies can engage with their customers in a whole new way along the customer journey. This is a critical time in customer service as service leaders transition from a cost center to a strategic growth engine. Today, the service department is responsible for delivering service that not only solves a problem, but also delivers a 1-to-1 conversational experience that builds customer loyalty. With service connected t
Tags : 
    
Salesforce
Published By: Salesforce     Published Date: Oct 30, 2019
In recent years, advancements in technology have exponentially impacted how quickly and effectively customers are able to get what they want. This has triggered a sea change in rising expectations where the overall customer experience is concerned. In turn, customer service, once considered by many to be a cost center, can now provide a coveted point of differentiation. All of which is to say, a business’ success now largely depends on disrupting the traditional customer service model. So how can your business do that? In this paper, I’ll answer that question – by describing a more disruptive model of customer service and, where applicable, explaining how Salesforce can support that model.
Tags : 
    
Salesforce
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