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Published By: AppDynamics     Published Date: Nov 02, 2017
Technologies once relegated to the pages of science fiction novels—artificial intelligence, digital currency, and self-driving cars to name a few—have become a reality. Enterprises must innovate with high velocity and at massive scale to stay competitive. Cloud adoption has become a strategic imperative for enterprises—it’s the price required to transform into a digital business.
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AppDynamics
Published By: AWS     Published Date: Jan 03, 2019
Managing your data can be a challenge, but establishing an analytics solution that every user can navigate, regardless of skillset, is where organizations often need help. TIBCO® Spotfire® features AI-driven data visualizations and dashboards, which helps enables each organizational role to discover and deliver valuable insights with ease. Riteway Sales and Marketing, which helps many Southeastern supermarkets execute strategies, leveraged the power of TIBCO Spotfire to better understand individual product performance throughout their stores, achieving exponentially faster time to insight than their previous solution allowed. Watch this on-demand webinar to learn how TIBCO Spotfire, when leveraged on Amazon Web Services cloud, can help you generate deep insights in minutes. You’ll learn: • How to generate relevant, actionable insights from any data, anywhere • Some of the best practices for leveraging AI-driven visual and predictive analytics solutions in the cloud • How to
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AWS
Published By: Genesys     Published Date: Jun 08, 2018
Artificial Intelligence (AI) is staggering in its speed of handling simple requests and automating conversations. But AI solutions are not enough for the best customer experiences. Human emotions sometimes demand the human touch that only live agents can provide. Kate, Customer Experience AI by Genesys, combined with the power of human touch can improve customer experience, empower employees and dramatically reduce costs. This seamless combination of AI technology and humans, or “Blended AI by Genesys,” addresses the entire customer journey for the best possible outcomes. Download the eBook and learn how Kate and Blended AI lets you: • Personalize self-service • Connect customer conversations • Create smart agent experiences • Start small and deploy fast with Microapps
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ai solutions, customer experience
    
Genesys
Published By: Genesys     Published Date: Jul 13, 2018
With artificial intelligence (AI) gaining ground, the right contact center infrastructure (CCI) can be the critical business differentiator for long-term flexibility and scalability. Gartner Research looked at three use cases to evaluate CCI vendors, and Genesys received the highest use case scores (4.16 out of 5) for Customer Engagement Center in Gartner Critical Capabilities.
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gartner, contact center, artificial intelligence, infrastructure, crm system
    
Genesys
Published By: Genesys     Published Date: Aug 07, 2018
Our deep integration with CRM systems and support for digital channels enables a single view of the customer that is essential for an organization’s success.
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gartner, contact center, artificial intelligence, infrastructure, crm system
    
Genesys
Published By: Google Cloud     Published Date: Aug 17, 2017
Breakthroughs in artificial intelligence (AI) have captured the imaginations of business and technical leaders alike: computers besting human world-champions in board games with more positions than there are atoms in the universe, mastering popular video games, and helping diagnose skin cancer. The AI techniques underlying these breakthroughs are finding diverse application across every industry. Early adopters are seeing results; particularly encouraging is that AI is starting to transform processes in established industries, from retail to financial services to manufacturing.
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Google Cloud
Published By: BlackBerry Cylance     Published Date: Oct 06, 2017
Artificial Intelligence Cybersecurity - A New Approach to Cyberattacks
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BlackBerry Cylance
Published By: Pure Storage     Published Date: Dec 05, 2018
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. Read this MIT Technology Review custom paper to learn how advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics, helping to accelerate business outcomes for data driven organizations.
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Pure Storage
Published By: Pure Storage     Published Date: Dec 05, 2018
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
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Pure Storage
Published By: Pure Storage     Published Date: Dec 05, 2018
In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights for the massive amounts of data. Many organization are now using AI for leading-edge research or as a competitive advantage. This Datanami white paper not only covers the societal impacts of deep learning, but it also discusses why traditional storage can't meet deep learning needs and how having the right data hub can help deliver data throughput for AI.
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Pure Storage
Published By: BMC ASEAN     Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, there’s also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challenges—making enterprise goals of enabling cost savings via smarter operations and decision making come to fruition. BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM employs a differentiated approach with a more holistic
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BMC ASEAN
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Digital transformation encompasses both technological and human components. While many initiatives focus on ensuring that a company’s multi-cloud infrastructure is agile enough to meet changing demands around cloud mobile, Internet of Things (IoT), and big data, it’s equally important to empower business workers with the modern digital tools they need to be successful today. Artificial intelligence and machine learning can play a vital role on both of these fronts. In fact, 78 percent of CIOs and senior IT leaders are already looking to AI to address complexity,1 and by 2019, 30 percent of IT service desks will utilize machine learning to free up support capacity.2 The magnitude of change has forced companies to take stock of the experience they offer employees. As digital natives3 enter and advance in the workforce, talent retention is now a top priority. These workers expect to have the best tools; 93 percent of millennials cited modern and up-to-date technology as one of the most
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BMC ASEAN
Published By: BMC ASEAN     Published Date: Dec 18, 2018
The business world is entering an age of the digital “haves” and the digital “have-nots.” In fact, research firm Forrester anticipates a growing “digital crisis” in its 2018 predictions, noting that 60% of CIOs and other executives it surveyed say they’re behind in their digital transformations. Meanwhile, Forrester expects one in five CEOs will fail to act on digital initiatives and put their firms in serious jeopardy as a result. Savvy organizations are embracing cloud, the Internet of Things (IoT), artificial intelligence (AI), and other transformative technologies to solve meaningful business problems and achieve their strategic priorities. Everyone else is getting left behind. Nowhere is this fork-in-the-road moment more apparent than in how enterprise IT teams deliver and manage services, to employees and customers alike.
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BMC ASEAN
Published By: DataCore     Published Date: Apr 23, 2019
The emphasis on fast flash technology concentrates much attention on hot, frequently accessed data. However, budget pressures preclude consuming such premium-priced capacity when the access frequency diminishes. Yet many organizations do just that, unable to migrate effectively to lower cost secondary storage on a regular basis. In this white paper, explore: • How the relative proportion of hot, warm, and cooler data changes over time • New machine learning (ML) techniques that sense the cooling temperature of data throughout its half-life • The role of artificial intelligence (AI) in migrating data to the most cost-effective tier.
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storage tiering, auto tiering, all-flash array, ssd, software defined storage, hyperconverged, data migration, storage migration
    
DataCore
Published By: Five9     Published Date: Jun 14, 2019
Cloud contact center has been a hot topic in the industry for some time, but moving your contact center to the cloud is no small decision. We understand that migrating your contact center is not something to jump into without considerable due diligence. We also know from our experience working with leading brands, however, that moving the contact center to the cloud pays off and is fast becoming the only way for an organization to embrace the advancements in self-service, intelligent routing and agent assistance that artificial intelligence (AI) will soon deliver. This paper is designed to help evaluate your current contact center as you consider a move to the cloud. Our goal, as always, is to enable you to deliver exceptional customer experiences, and we are here to assist you at every step as you transition to the cloud.
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Five9
Published By: Five9     Published Date: Aug 22, 2019
Are you interested in how artificial intelligence (AI) might impact your contact center? The hype cycle for AI is nearing its peak. But before you rush to deploy an AI tool, let’s separate fact from fiction. What are the practical benefits of AI today? What kind of challenges arise from automation? What are the underlying technologies at play? In this e-book, we will answer these questions and more. We will examine AI from a pragmatic lens and offer suggestions to minimize costs and maximize returns.
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Five9
Published By: Five9     Published Date: Oct 14, 2019
Are you interested in how artificial intelligence (AI) might impact your contact center? The hype cycle for AI is nearing its peak. But before you rush to deploy an AI tool, let’s separate fact from fiction. What are the practical benefits of AI today? What kind of challenges arise from automation? What are the underlying technologies at play? In this e-book, we will answer these questions and more. We will examine AI from a pragmatic lens and offer suggestions to minimize costs and maximize returns.
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Five9
Published By: AppZen     Published Date: Jun 17, 2019
On average, enterprises processed over 200,000 spend transactions last quarter. Finance teams that use artificial intelligence in their spend audit reviewed 100 percent of transactions, versus 2-10 percent of expense reports and 5-10 percent of invoices for teams that didn’t.
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AppZen
Published By: AppZen     Published Date: Jul 22, 2019
AI helps finance team to reduce spend, ensure compliance and streamline process: - Audit 100% of spend instantly - Comply with regulations like FCPA - Eliminate fraud and waste
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AppZen
Published By: AppZen     Published Date: Jul 22, 2019
AI helps finance team to reduce spend, ensure compliance and streamline process: - Reimburse employees same-day - Make sure expenses and invoices comply with policy - Eliminate fraud and waste
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AppZen
Published By: AppZen     Published Date: Jul 22, 2019
AI helps finance team to reduce spend, ensure compliance and streamline process: - Audit 100% of spend instantly - Eliminate fraud and waste - Streamline process
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AppZen
Published By: AppZen     Published Date: Aug 07, 2019
On average, enterprises processed over 200,000 spend transactions last quarter. Finance teams that use artificial intelligence in their spend audit reviewed 100 percent of transactions, versus 2-10 percent of expense reports and 5-10 percent of invoices for teams that didn’t.
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AppZen
Published By: AppZen     Published Date: Aug 07, 2019
On average, enterprises processed over 200,000 spend transactions last quarter. Finance teams that use artificial intelligence in their spend audit reviewed 100 percent of transactions, versus 2-10 percent of expense reports and 5-10 percent of invoices for teams that didn’t.
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AppZen
Published By: TIBCO Software     Published Date: Nov 07, 2019
Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others: • New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry • Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike • Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation Read this whitepaper to learn how you can overcome these and other disruptions.
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TIBCO Software
Published By: AppDynamics     Published Date: Dec 08, 2017
This Whitepaper looks into the technologies once relegated to the pages of science fiction novels—artificial intelligence, digital currency, and self-driving cars to name a few—have become a reality. Enterprises must innovate with high velocity and at massive scale to stay competitive. Cloud adoption has become a strategic imperative for enterprises—it’s the price required to transform into a digital business.
Tags : 
    
AppDynamics
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