Welcome!

Machine Learning Authors: Pat Romanski, Yeshim Deniz, Liz McMillan, Elizabeth White, Corey Roth

News Feed Item

RightAnswers Taps Pollie to Lead Business Development Efforts

RightAnswers, Inc., the recognized leader in providing knowledge management and self-service solutions, today announced that Bill Pollie has been named as the company’s new Vice President of Business Development. The hiring of Mr. Pollie expands RightAnswers’ executive team and underscores the company’s commitment to grow its business in 2010. Mr. Pollie will play an integral role in managing several sales and business development initiatives.

Prior to joining RightAnswers, Mr. Pollie was Vice President/Managing Director of the Americas for Misys International Banking Systems – a leading provider of solutions for the Banking and Treasury & Capital Markets segment of the financial services industry. Before Misys International Banking Systems, he served as Vice President and General Manager, North America for Microsoft where he led the Microsoft Business Solutions unit (currently known as Microsoft Dynamics) and helped to launch the Microsoft CRM solution offering. Prior to Microsoft, he spent more than nine years at SAP America – a leading ERP software company in a variety of sales, product and management roles and as President of Neocase Software, Inc. a leading provider of Customer Service/Call Center applications. Bill has also held executive roles at Lawson Software, Integral Systems Inc., Automatic Data Processing and Information Science, Inc.

“RightAnswers has built a strong base of clients, delivered remarkable support and developed an exciting solution for unifying knowledge across the enterprise,” said Mr. Pollie. “I am excited about the opportunity and in RightAnswers roadmap for success. If knowledge is power, then RightAnswers is positioned to be the leader in delivering the right information to the right person at the right time.”

“Bill will be an integral addition in helping RightAnswers move to the next level,” said Jeff Weinstein, President and CEO of RightAnswers. “He has a broad range of experience in sales, marketing and business development, and his ability to build strategic partnerships will be key for our company. Partners have always been a significant part of our business and I am confident that Bill will raise our relationships to new and exciting heights.”

A graduate of Rutgers (New Brunswick), The State University of New Jersey, Mr. Pollie received a BA degree in business administration/economics.

About RightAnswers, Inc.

RightAnswers delivers the high-impact knowledge solutions, technology solutions and value-added services to enable support organizations to improve the end-user experience, reduce costs and increase problem/incident resolution capacity of the support organization. The RightAnswers Unified Knowledge Suite provides the tools needed to facilitate rapid problem resolution for both self-service end-users and support analysts. RightAnswers solutions are used by more than 4 million licensed end users across hundreds of companies including commercial enterprises, higher education institutions and government agencies. For more information, visit www.rightanswers.com.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the steps so your team's apps not only function but also can be monitored and understood from their machine data when running in production.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
A valuable conference experience generates new contacts, sales leads, potential strategic partners and potential investors; helps gather competitive intelligence and even provides inspiration for new products and services. Conference Guru works with conference organizers to pass great deals to great conferences, helping you discover new conferences and increase your return on investment.
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure using the Kublr platform, and how Kubernetes objects, such as persistent volumes, ingress rules, and services, can be used to abstract from the infrastructure.