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.
Since Hyper Converged Infrastructure (HCI) emerged as a breakthrough technology, it has continued to gain taction as it has truly delivered on its promise. It has helped organizations optimize resources, reduce complexity, lower costs, increase agility and accelerate development cycles, as well as provide a seamless path to hybrid cloud. These are just a few of the key benefits causing IT leaders pay close attention to HCI and look at ways to use it to power key initiatives such as digital transformation.
As IT leaders continue to embrace HCI and the market is expected to grow at a compound annual rate of 42% through 2023, the future is happening now.
Submit the form to read our latest whitepaper and discover 5 powerful HCI case studies around Business critical applications, Hybrid Cloud/Multicloud, Disaster recovery, Edge computing, Container and App Development.
Published By: IBM APAC
Published Date: May 14, 2019
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process. IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and compliance.
Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report explores how they are approaching str
Published By: Red Hat
Published Date: Jun 19, 2019
The days of monolithic application development are over.
And while “digital transformation” may sound like a fancy
buzzword that ranks alongside blockchain, agile, and cloud, it’s
not all hype. With transformation comes unprecedented levels
of speed, consistency, and efficiency that are fundamentally
changing the way developers do their jobs.
Yes, that includes you.
Much of the burden and pressure to deliver on the promises made
by the business falls on the shoulders of IT developers. In a world
where users demand new applications, features, and updates
across all their devices in real time, container technology is your
secret weapon. Containers let you work smarter by creating
consistent development environments to rapidly develop and
deliver cloud-native applications that can run anywhere. With
containers, you can also deliver microservices that eliminate
lengthy regression testing cycles, deploy without disruption,
and provide a mechanism for patching or rolling back code on
Published By: Emarsys
Published Date: Mar 19, 2018
The one thing these powerful brands have in common? Data. The growth of data has brought us to the tipping point between brand and customer. Before the digital age, the biggest and best brands had just that – a brand, which THEY controlled. Now, a brand is powerful because of the data it collects and how it uses it to serve its customers. The value of data is only going to increase as we move from a handful of brands owning first-party data to a greater democratization of information. As a result, consumers will have much more control over their personal data and more companies will be able to generate their own first-party data. Once again, it’s time to look ahead to identify the trends and technologies that are most likely to survive the hype cycle and become the must-haves of the near future. Here we take all we learned over the past year and craft our strategies for the future. We explore the five predictions we believe marketers should be excited about and prepare for over the ne
For advanced signaling over high-loss channels, designs today are using equalization and several new measurement methods to evaluate the performance of the link. Both simulation and measurement tools support equalization and the new measurement methods, but correlation of results throughout the design flow is unclear. In this paper a high performance equalizing serial data link is measured and the performance is compared to that predicted by simulation. Then, the differences between simulation and measurements are discussed as well as methods to correlate the two.
IBM® SmartCloud® Orchestrator makes complex cloud services easy to manage. Built on OpenStack, IBM SmartCloud Orchestrator provides common cloud services for multi tier application environments on top of compute, network and storage while supporting multiple hypervisors and multi-vendor platforms. It’s designed to simplify and speed the creation and execution of process workflows that then help shorten deployment and change processes in the cloud. With standardization and automation of cloud services through a flexible orchestration engine, IBM SmartCloud Orchestrator (SCO) provides ongoing service lifecycle management and the flexible platform to automate assets that most organizations are already using.
This report explains how cloud computing can function as an extension of a company's existing infrastructure, with enterprise-class features and provided at a substantially lower cost than on-premises approaches.