Published By: Polycom
Published Date: Jun 08, 2016
"There are many ways to take advantage of the rich set of collaboration tools provided by Microsoft Skype for Business. IT leaders should consider a cap-and-grow Skype for Business strategy and then think through how it can be leveraged as a replacement technology.
Digest this white paper by leading UC analyst Zeus Kerravala for insight on the 14 best practices for a Skype for Business Enterprise Voice deployment. Enabling IM and presence first, expanding desktop applications, and more are details in this informative piece.
Published By: Riverbed
Published Date: Feb 26, 2015
Applications are the life of any enterprise and key enablers of workforce productivity and business agility. But, the application landscape is changing rapidly - the number and type of applications is increasing, the move to cloud and SaaS for application delivery is growing, bandwidth costs are decreasing and the reliability of the Internet has improved. Inevitably, there are also changes in network and infrastructure topologies.
The hybrid enterprise has become a reality. The hybrid enterprise has become a standard.
Join us March 10th as noted industry analyst Rick Villars of IDC, leads a discussion with Zeeshan Sabir, Qualcomm, and Riverbed’s Hansang Bae about the changing face of IT.
Il y a moins d’un an, les prévisions des analystes avaient laissé croire aux fervents défenseurs de la mobilité qu’une catastrophe allait toucher de plein fouet le secteur de la gestion des terminaux mobiles. Lors d’un événement réservé aux analystes qui s’est tenu en 2013, un panel de spécialistes indiquait que l’utilisation des terminaux personnels allait aboutir à une réduction des prix et faire chuter les ventes. Ils annonçaient la mort de cette industrie. La gestion des terminaux mobiles est actuellement totalement chaotique et je pense que ce marché est en train de mourir. déclarait l’analyste Gartner John Girard (CRN.com). John Girard avait prévu une nouvelle orientation dans la gestion de niveau application qui était liée à l’utilisation de terminaux personnels et à la résistance que montraient les employés devant la gestion par l’entreprise de leurs terminaux personnels.
Ask any cybersecurity professional and she’ll tell you that her job is getting increasingly difficult. Why? Most will point to a combination of the dangerous threat landscape, IT complexity, and their overwhelming workload. These issues are driving a major transition in enterprise security. Large organizations must move beyond a threat prevention mentality to
become proactive cyber-¬-attack “hunters” that constantly monitor their networks for signs of trouble. This shift to proactive hunting will require new technologies that collect, process, and analyze massive amounts of security data, offer intelligent security analytics for real-¬-time incident detection, integrate threat intelligence to align suspicious internal activities with
external threats, and provide analysts with the right data analytics features to query and manipulate data for historical investigations.
Published By: MuleSoft
Published Date: Sep 08, 2016
Since it first emerged more than a decade ago, Service Oriented Architecture (SOA) has been both widely praised as a modern and agile approach to software development and infrastructure architecture and dismissed as a colossal waste of time and money. Missed expectations for many SOA projects led one analyst in 2009 to declare, “SOA is dead.” Far from being dead, however, service oriented architecture is in fact more relevant than ever
There are four IT megatrends that will transform IT and the business in the next few years. These four trends are all connected, all overlapping, all a part of an overall enterprise transformation. Success with these trends will be the primary driver for success in a world that is becoming much more digital and real-time. But many companies are still failing to connect the dots. Listen as Gartner VP Distinguished Analyst Tom Bittman discusses how to effectively navigate the four megatrends as a part of a holistic enterprise transformation the drives results.
Published By: Genesys
Published Date: Jun 08, 2018
In Gartner’s 2018 Magic Quadrant for Contact Center Infrastructure, Worldwide, Genesys has once again maintained a leadership position. Placed furthest among all vendors in completeness of vision for 10 years and counting, our position continues to validate our mission to power the world’s best customer engagement solutions for organizations of all sizes—both in the cloud and on-premises.
And according to Gartner peer insights, customers agree.
“Great implementation that was on-time and on-budget!” — CTO in the finance industry
“Solid platform with a lot of features at a reasonable cost.” — IT Manager of Software Engineering in the Services Industry
Get the report now to learn:
• How contact center vendors compare and which quadrant they are aligned to
• Analyst views on the strengths and cautions of all participating vendors
• How to evaluate key criteria to guide your decision-making process
Published By: Genesys
Published Date: Jul 13, 2018
When building artificial intelligence (AI) into your business strategy, it’s easy to become distracted by all the new technologies on the market—each one promising a better customer experience. Make decisions based on facts, not misconceptions.
When you evaluate AI technologies, consider these facts:
• Bots working with human agents enables a seamless customer journey
• Automated self-service costs as little as 20 cents per interaction
• A single platform makes it easier to deliver personalized, proactive and predictive experiences
See how AI connects customer conversations in this new analyst guide, 2017 ContactBabel Inner Circle Guide to Self-Services.
There are myriad software products, from complete CRM platforms that offer analytics to standalone or add-on software products that focus solely on analytics. There are analytics apps that can be added to your existing CRM platform. Or there’s the option to outsource analytics to a growing number of service providers.
“The technologies are changing rapidly. There are a zillion startups offering either new tools or technologies, so it is kind of hard to navigate,”Mike Gualtieri, an analystfor Forrester Research Inc. in Cambridge, Mass., said in a recent webcast on analytics. “There isn’t just one platform that you’re going to need.
There’s a whole ecosystem of platforms.”
Having the right people on staff who know how to use the technology is equally important, analysts say. Analytics aren’t just for statisticians anymore—they’re used by sales, marketing and customer service teams in daily decision making.
One of the biggest challenges for IT today, is that it is being asked to enable digital transformation and innovation within enterprises but is held back with aging, legacy infrastructure that does not scale and lacks the capabilities the business requires. Watch this video to hear IDC analyst Chandana Gopal’s viewpoint on why organizations need to create a modern B2B integration technology environment.
Published By: Lookout
Published Date: Mar 28, 2017
The data that you’ll see throughout this book
is the result of a survey commissioned by
Lookout and conducted by Enterprise
Strategy Group, an integrated IT research,
analyst, strategy, and validation firm.
As the volume of data coming into organizations – from both internal and external sources – continues to grow and makes its way across departmental systems in many different formats, there is a critical need to create a single, holistic view of the key data entities in common use across the enterprise. Master Data Management (MDM) aims to accomplish this goal. Not surprisingly, MDM has become a significant priority for global enterprises, with the market expected to triple from $9.4B to $26.8B by 2020 according to analysts.
The reality, though, is that while seemingly everyone is investing heavily in the tools to manage data, few are putting a great enough emphasis on the data itself. And that’s a problem. Poor data quality is said to be costing businesses $3.1 trillion annually – and that’s just in the US alone. The information being put into MDM tools must be mastered first and foremost.
Many financial institutions see their customer data as one of their most valuable assets. Unlocking insights from that data helps FIs understand, anticipate and offer account holders the products and services they truly need. A major trend to unlocking customer insights is using machine learning to surface the behavioral intelligence buried in the large amount of account holder transactional data captured each and every day. In this paper, learn how a group of talented, enthusiastic analysts with an open approach to data can yield some very interesting and extremely valuable and actionable results. This approach, championed by Q2 Executive Vice President and CTO Adam Anderson, has led to a new platform, Q2 SMART, which provides powerful behavioral analytics for financial institutions, enabling growth while providing account holders with real value.
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before.
These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. This e-book presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
PowerEdge servers protect your customers and business with integrated security
Analysts say attacks on firmware are becoming a greater threat to systems, making a cyber-resilient server architecture essential to the modern data center. Dell EMC PowerEdge servers, powered by Intel® Xeon® Scalable processors, deliver comprehensive management tools and robust layers of security to protect hardware and firmware throughout the server lifecycle.
With the increasing complexity and volume of cyberattacks, organizations must have the capacity to adapt quickly and confidently under changing conditions. Accelerating incident response times to safeguard the organization's infrastructure and data is paramount. Achieving this requires a thoughtful plan- one that addresses the security ecosystem, incorporates security orchestration and automation, and provides adaptive workflows to empower the security analysts.
In the white paper "Six Steps for Building a Robust Incident Response Function" IBM Resilient provides a framework for security teams to build a strong incident response program and deliver organization-wide coordination and optimizations to accomplish these goals.
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t