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Published By: Oracle     Published Date: Mar 22, 2019
Argyle CIO Webcasts, in partnership with Oracle, brings together top IT executives for an innovative, discussion-based webcast exploring the promises and perils of transformational technologies on the financial services industry.
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Oracle
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: Oracle     Published Date: Mar 22, 2019
Argyle CIO Webcasts, in partnership with Oracle, brings together top IT executives for an innovative, discussion-based webcast exploring the promises and perils of transformational technologies on the financial services industry.
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Oracle
Published By: Zoovu Limited     Published Date: Mar 20, 2019
Health and beauty products have always been personal and emotional purchases. More than in any other sector, consumers want products to reflect their individuality and expect them to be tailored to their ever-changing preferences, as well as their appearance and personal goals.
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customer engagement, digital engagement, guided selling, e-commerce, engagement economy, digital commerce, digital marketing, conversion, sales, growth, health, beauty, brands, customer experience, customer journey, conversion, engagement, product finder, machine learning, personalization
    
Zoovu Limited
Published By: Cohesity     Published Date: Mar 19, 2019
As an enterprise admin for over 20 years now, I have seen many technology successes, challenges, and even failures throughout my career. For all enterprise admins, learning is a critical element of job success, but so is sharing what you have learned with others. Today I am embarking on a series of posts where I will be sharing many technology challenges that could have been avoided with a proper backup strategy. From there we will touch on how a modern backup solution can protect your organization from the preventable issues I’ll be writing about.
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Cohesity
Published By: TIBCO Software     Published Date: Mar 15, 2019
On-demand Webinar The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs. What You Will Learn: Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes How multi-variate statistical process control can help to detect deviations from a baseline How to monitor in real time the OEE and produce a 360 view of your factory The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models. Speakers:
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TIBCO Software
Published By: Cylance     Published Date: Mar 12, 2019
Today’s advanced cyber threats target every computer and mobile device, including enterprise endpoints, especially those that make up critical infrastructure like industrial control systems and embedded devices that control much of our physical world. The modern computing landscape consists of a complex array of physical, mobile, cloud, and virtual computing, creating a vast attack surface. Meanwhile, the cybersecurity industry is prolific with defense-in-depth security technologies, despite a threat landscape that remains highly dynamic, sophisticated, and automated. Cylance, however, takes a unique and innovative approach of using real-time, mathematical, and machine learning threat analysis to solve this problem at the endpoint for organizations, governments, and end-users worldwide.
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Cylance
Published By: Cylance     Published Date: Mar 12, 2019
A Pathfinder paper navigates decision-makers through the issues surrounding a specific technology or business case, explores the business value of adoption, and recommends the range of considerations and concrete next steps in the decision-making process.
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Cylance
Published By: TIBCO Software     Published Date: Mar 12, 2019
Fraud affects more than just your customers, it fundamentally destroys your reputation and has significant impact on your bottom line. In the first half of 2018, financial fraud from payment cards, cheques and remote banking totaled £358m in the UK alone, resulting from over a million incidents, an increase of more that 50% over the last 4 years. Have a look at this interesting Infographic to find out more.
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fraud, fraud prevention, uk fraud, fraud detection, machine learning
    
TIBCO Software
Published By: AI Business     Published Date: Mar 11, 2019
LOOK TO RELEVANT USE CASES FOR YOUR BUSINESS. While use cases vary across industries, the most common ones fall into these categories and are usually associated with the listed neural network: • Image classification or object detection: convolutional neural network (CNN) • Time-series predictions: long short-term memory (LSTM) • Natural language processing: recurrent neural network (RNN) • Unlabeled data classification and data labeling: autoencoder (AE) • Anomaly detection: autoencoder (AE) • Recommender systems: multilayer perceptron (MLP) Work with your deep learning talent or consultants to identify which use cases best match your organization and desired solutions. Then recreate a successful, already proven method.
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AI Business
Published By: Oracle     Published Date: Mar 08, 2019
Did you know that organizations with advanced finance teams are more likely to have a compelling digital customer experience? The driver behind this trend? A digital, customer-first way of working with greater investment in talent, innovation, and advanced technologies such as artificial intelligence (AI) and machine learning (ML). While finance has long taken advantage of technology to help drive productivity and collaboration, the goalposts have recently moved. Today’s organizations must adopt an agile finance operating model— powered by emerging digital technologies and skillsets—to better support the demands of an economy driven by continuous innovation.
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Oracle
Published By: Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017     Published Date: Mar 07, 2019
AI, machine learning and predictive analytics are already driving big performance gains for CFOs and their teams. The ability for cognitive tools to learn at speed helps Finance progressively improve company intelligence and efficiency, including proactive identification of late- and non-paying customers. Get up to speed on the potential of cognitive, with Finance thought-leaders from Oracle and AICPA (American Institute of Certified Public Accountants).
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Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017
Published By: IBM APAC     Published Date: Mar 06, 2019
The Forrester Study on cost savings and business benefits enabled by Watson Studio and Watson Knowledge Catalog. Watson Studio provides a suite of tools for data scientists, application developers, and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy machine learning models at scale. The Forrester provides readers a framework to evaluate the potential financial impact of the Watson Studio and Watson Knowledge Catalog investment on their organizations.
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IBM APAC
Published By: IBM APAC     Published Date: Mar 06, 2019
A single environment to build, train, and deploy machine-learning and deep learning models. Take advantage of machine learning and AI to analyze your data. Catalog your data to make it easy to find. All applications are free and without time limit!
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IBM APAC
Published By: BetterUp     Published Date: Mar 06, 2019
Despite spending $160B per year on L&D software and another $14B on leadership development, organizations continue to see a limited return on their human capital investments. Don’t miss this on-demand webinar as Gabriella Kellerman MD, Chief Innovation Office at BetterUp, discusses how to move beyond short-term behavior change to lasting transformation--maximizing your investment and empowering your workforce.
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BetterUp
Published By: BetterUp     Published Date: Mar 06, 2019
Despite the huge amount of time, money, and resources invested in L&D solutions, most simply deliver information without effecting lasting transformational change. In fact, after a year, only about 30% of employees successfully transfer their learnings to the workplace. A new approach is required as most L&D solutions are failing us. In this report, we share the five shortcomings of L&D solutions today and offer insights into how you can create a program that delivers the business outcomes you need, while enabling your people to thrive.
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BetterUp
Published By: BetterUp     Published Date: Mar 06, 2019
Research suggests that up to half of the investment your organization is making in Learning & Development (L&D) is being wasted. Employees unfortunately lose up to 75% of the information they receive through traditional L&D approaches (including learning management systems, episodic trainings, and workshops) — an effect known as the training transfer problem. In this report, discover the five critical requirements for effective behavior change and leadership development.
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BetterUp
Published By: TIBCO Software     Published Date: Mar 04, 2019
In this podcast, Mark Hudson, event processing specialist in the office of the chief technology officer at TIBCO Software, discusses current financial industry challenges and the smartest ways of dealing with them. He explores the key elements missing from most of today’s solutions, and analyzes the business costs of regulation. Mark also explains how trade surveillance compares to market risk and payment surveillance and shares TIBCO’s uniquely effective approach to the industry. Podcast produced and edited by EM360.
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trade surveillance, machine learning, fraud management
    
TIBCO Software
Published By: Oracle     Published Date: Mar 01, 2019
Join Oracle’s CX and Marketing Strategy Director, Wendy Hogan, and Senior Vice President Oracle Marketing, Shashi Seth, as they tell how AI, machine learning and data science can engage customers, automate tasks and build ROI. Reaching the right customers on the right channel at the right time, brings rewards for CMOs who embrace these innovations, including engaged customers and increased ROI. Be inspired by the new-generation AI, machine learning and data science and take your marketing to the next level. Watch the webinar.
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Oracle
Published By: Tenable     Published Date: Feb 27, 2019
"Overwhelmed by the number of vulnerabilities your team faces? Uncertain which cyber threats pose the greatest risk to your business? You’re not alone. Cybersecurity leaders have been grappling with these challenges for years – and the problem keeps getting worse. On average, enterprises find 870 vulnerabilities per day across 960 IT assets. There just isn’t enough time or resources to fix them all. More than ever, it’s essential to know where to prioritize based on risk. Download the new whitepaper “Predictive Prioritization: How to Focus on the Vulnerabilities That Matter Most” to: -Learn how to focus on the 3% of vulnerabilities that have been – or will likely be – exploited -Uncover why CVSS is an insufficient metric for prioritization – and the key criteria you need to consider -Understand the Predictive Prioritization process, which uses machine learning to help you differentiate between real and theoretical risks Ensure you’re prioritizing the right vulnerabilities for your t
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Tenable
Published By: Tenable     Published Date: Feb 27, 2019
"Overwhelmed by the number of vulnerabilities your team faces? Uncertain which cyber threats pose the greatest risk to your business? You’re not alone. Cybersecurity leaders have been grappling with these challenges for years – and the problem keeps getting worse. On average, enterprises find 870 vulnerabilities per day across 960 IT assets. There just isn’t enough time or resources to fix them all. More than ever, it’s essential to know where to prioritize based on risk. Download the new whitepaper “Predictive Prioritization: How to Focus on the Vulnerabilities That Matter Most” to: -Learn how to focus on the 3% of vulnerabilities that have been – or will likely be – exploited -Uncover why CVSS is an insufficient metric for prioritization – and the key criteria you need to consider -Understand the Predictive Prioritization process, which uses machine learning to help you differentiate between real and theoretical risks Ensure you’re prioritizing the right vulnerabilities for your t
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Tenable
Published By: TIBCO Software     Published Date: Feb 26, 2019
MoneyLIVE’s annual survey of over 600 banking professionals found that traditional banks face a significant challenge when it comes to building AI-powered customer journeys. 75% believe that as the use of AI intensifies, banks will struggle to recruit the necessary expertise. 84% fear regulatory and liability issues surrounding AI. Just 7% think their organization’s use of AI is highly sophisticated. But for banks to keep pace with challengers and FinTechs, it’s crucial that they harness this continually evolving technology. Download this chapter of MoneyLIVE's The Future of Retail Banking Report 2018/19 now and understand how TIBCO’s Connected Intelligence Platform, with the use of AI and machine learning algorithms, can help with banks’ digital transformation needs.
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artificial intelligence, machine learning, financial services, retail banking
    
TIBCO Software
Published By: Gameffective     Published Date: Feb 26, 2019
Read this Microsoft case study about how Microsoft's Consumer Support Services - with its global network of support centers and thousands of agents - used digital motivation to drive agent performance and learning. Microsoft wanted new ways to recognize and reward agents while increasing their productivity. The focus was to change behaviors, develop skills, encourage sales, and drive outcomes. Microsoft identi?ed gami?cation as a solution to these needs. The company believed it could be more successful at encouraging and recognizing agents for positive outcomes through each customer interaction. Read the case study to learn how Microsoft: Increased productivity through gamification Drove agent performance with rewards, to change behaviors and business outcomes Improved agent knowledge and ability to apply the new information learned.
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Gameffective
Published By: Gameffective     Published Date: Feb 26, 2019
Comdata Group is one of the world's largest business process outsourcing (BPO) providers. It operates hundreds of call-centers around the globe, with tens of thousands of employees offering, a variety of services, including sales and customer service. In a competitive BPO market, Comdata was looking for ways to increase the productivity and efficiency of its agents. It looked for a unified solution that would successfully engage employees, drive higher accountability and better focus them on their performance. Using Gameffective's platform, Comdata deployed gamified, real-time performance management. This process provides employees with the ability and motivation to self-track their performance against goals and benchmarks, and offers just-in-time coaching based on their needs. The results were impressive: 12% increase in sales per hour, and significant reductions in both new-hire learning curves and in ongoing training time. Read the case study to learn how Comdata: Increased emp
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Gameffective
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