Technicians should be evaluated on their responsiveness and speed of ticket resolution; processes by the ease of submitting a ticket, reaching a technician and receiving support; and technology by the ease of communication. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.
The machine-learning capabilities will be brought into ServiceNow's cloud services for security, customer service, and HR. The Intelligent Automation Engine's algorithms are based on technology the company acquired through its purchase of DxContinuum in January. ServiceNow's new machine-learning capabilities center around the following areas: The predictive intelligence capability will be brought into the company's IT Service Managment offering first, and be incorporated into the fourth-quarter release of the Now Platform, code-named Kingston. In addition to DxContinuum, ServiceNow has acquired other companies over the past year, including IT security firm BrightPoint Security as well as cloud-management company ITapp.
ServiceNow said that it will use the Intelligent Automation Engine across the platform and in cloud services for customer service, security, and human resources as well as IT. While many machine learning and artificial intelligence efforts have been set up as add-ons to cloud services, ServiceNow CTO Allan Leinwand said the Intelligent Automation Engine will be tailored for each customer account. According to a ServiceNow survey, 86 percent of companies say they will need more automation to get work done by 2020. The four main use cases for ServiceNow's automation efforts include:
V-Soft's Business Solutions team was tasked to come up with a solution where HR departments could capture requests through tickets, but not make it complicated for the end user to utilize. So, dear readers, that's how ServiceNow met AI, and snowBOT was born. This is not all that snowBOT is capable of doing. With a simple and familiar chat interface, there is no learning curve and no need to interact with multiple tools to get your concerns taken care of.
Under the partnership, IBM and ServiceNow, which offers a service automation platform, will focus on automating manual business processes for Global 2000 companies. ServiceNow will offer its IT, human resources, customer service and security service automation tools and IBM's services unit will use Big Blue's cognitive computing resources to meld the two clouds. IBM's customers can use ServiceNow's platform to build business automation applications. ServiceNow will be integrated into IBM's cognitive platform, Bluemix service and Cloud Orchestrator.
Service management leader ServiceNow today announced a strategic investment in MapAnything, a location services company that has heretofore run on the platform. The investment is part of a $33.1 million Series B round that also includes investments from Columbus Nova as well as all previous investors, including Greycroft Partners, Harbert Venture Partners, Salesforce Ventures and individual investors Michael Lazerow and former NBA commissioner David Stern. "Our intention was always to run on multiple platforms," explains John Stewart, CEO of MapAnything. From an architectural perspective, Salesforce and ServiceNow offer similar platforms – but their respective offerings don't have much overlap.
ServiceNow, an enterprise cloud company, has acquired DxContinuum, a Silicon Valley-based, machine learning company, in an all-cash transaction expected to close this month. The move is expected to help the company categorize and route hundreds of thousands of machine and manual work for each ServiceNow customer, bringing the "intelligent automation" of today's manual processes one step closer. By applying DxContinuum's machine-learning algorithms to each customer's unique data set, ServiceNow aims to train machines on how to route IT, HR, customer service or other requests with a high level of accuracy. Their customers' rich operational data sets will produce highly accurate predictions to speed work across the enterprise," said Debu Chatterjee, Founder and CEO, DxContinuum.
The pioneer in intelligent automation, ServiceNow can further increase productivity for its customers by applying machine‑learning capabilities and data models developed by DxContinuum. Hundreds of thousands of machine and manual work requests can now be effectively and automatically categorized and routed for each ServiceNow customer, bringing the "intelligent automation" of today's manual processes one step closer. DxContinuum's predictive models will add greater efficiency in categorizing incoming requests from people and machines automatically. By applying DxContinuum's machine‑learning algorithms to each customer's unique data set, ServiceNow can train machines on how to route IT, HR, customer service or other requests with a high level of accuracy.
COLORADO SPRINGS, CO--(Marketwired - October 05, 2016) - Cherwell Software, a global leader in IT service management (ITSM) solutions, announced today to customers at its annual conference that the Cherwell Service Management platform is utilizing Microsoft Azure Machine Learning to integrate predictive analytics into its ITSM solution. Azure Machine Learning, part of the Microsoft Cortana Intelligence Suite, provides a cloud-based service that enables companies to apply statistical techniques to large amounts of data and leverage analytics to solve problems and create smarter applications. By integrating Azure Machine Learning with Cherwell Service Management, Cherwell has introduced the next generation of service management," commented Dawson Stoops, VP of Technical Alliances at Cherwell. Cherwell Service Management is built on a flexible, codeless platform, empowering Cherwell customers to rapidly embrace new innovations such as machine learning and artificial intelligence to enrich the service management experience of their business users.