From Ebola preparedness to leading large-scale changes, today’s master’s degree programs are producing leaders eager to tackle this generation’s most pressing challenges.
Rahul Anand, MD, is chief epidemiologist at Middlesex Hospital in Middletown, Connecticut, where he heads up all infectious disease prevention activities for the nonprofit integrated delivery network, from Ebola preparedness to hand washing. He’s also adjunct assistant professor in the department of medicine at the University of Utah, where he worked full time prior to moving to the East Coast. On top of that, he is one-third of the way through an MBA program at the University of Massachusetts Isenberg School of Management. It will take him another two years to finish the online program.
Discover the four big trends in fleet management being powered by location services. Trends to help you differentiate your solutions and enable transportation companies to overcome their logistical challenges and increase asset utilization. Discover what’s making the biggest impact, together with how, by integrating some of these trends into your solutions, you can position yourself as the service provider of choice in fleet and transportation management solutions. And find out how HERE is delivering features, from comprehensive mapping capabilities and real-time location data, to truck-specific attributes, to help you do just that.
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IT professionals need tools that make the never-ending log of tasks they face daily, more manageable. While tools like Intel® Active Management Technology (AMT), which is part of the set of Intel vPro™ technologies, can improve management capabilities, learning the software can take time. Download this report today to learn how Dell Client Command Suite can lessen the administrative burden and help your admins maximize their daily productivity.
Today, IT leaders address the PC lifecycle across a continuum from control to transformation. Control is geared to optimization, while transformation focuses on the business impact of technology. Though the two approaches differ, they are not in opposition. They strive for the same goals and face similar challenges. As IT leaders provide their workforce with the tools to carry out the corporate mission, they should develop a PC lifecycle strategy that encompasses the key organizational needs of systems management, end-user productivity, business innovation and data-centric security. Read this Dell whitepaper to learn more about the findings of a recent Forrester Consulting study, “Digital Transformers Innovate, Digital Controllers Optimize”. This paper will help clarify the PC lifecycle continuum, from the basics of control to the advanced levels of transformation, so you will be better equipped to determine the needs of your organization on that spectrum.
Published By: Workday UK
Published Date: Sep 18, 2018
The annual performance review is in need of a technology-based update. In this global research study, learn how to transform the performance management process from an annual chore to a continuous value driver that better engages and retains employees.
In today’s world, advanced vision technologies is shaping the next era of Internet of Things. However, gathering streaming video data is insufficient. It needs to be timely and accessible in near-real time, analyzed, indexed, classified and searchable to inform strategy—while remaining cost-effective.
Smart cities and manufacturing are prime examples where complexities and opportunities have been enabled by vision, IoT and AI solutions through automatic meter reading (AMR), image classification and segmentation, automated optical inspection (AOI), defect classification, traffic management solution—just to name a few.
Together, ADLINK, Touch Cloud, and Intel provide a turnkey AI engine to assist in data analytics, detection, classification, and prediction for a wide range of use cases across a broad spectrum of sectors.
Learn more about how the Touch Cloud AI brings cost savings, operational efficiency and a more reliable, actionable intelligence at the edge with transformative insi
Advanced image analysis and computer vision are key components of today’s AI revolution and is becoming critical for a wide range of industry applications, including healthcare, where this technology is being used to detect anomalies and improve patient care. Due to a lack of integrated tools and experience with these cutting-edge technologies, however, deploying complete systems is difficult.
Applications that utilize deep learning approaches often require large amounts of highly parallel compute power, storage, and networking capabilities, along with performance optimizations for faster data analysis. The Intel and QNAP/IEI solution combines all these elements in one complete system for scalable data management for hospitals and clinics of all sizes.
Read more on Intel’s and QNAP/IEI’s real-world use case on macular degeneration analysis through high-performance computing, vision capabilities, storage, and networking in a single solution.
Published By: Lookout
Published Date: Dec 13, 2018
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years.
As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence.
Watch the webinar to learn more about:
What makes up the full spectrum of mobile risks
Lookout's Mobile Risk Matrix covering the key components of risk
How to evolve beyond mobile device management
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
With today’s customers demanding fast and seamless experiences, it’s critical that merchants’ payment technology evolve just as quickly. Read this guide to discover why payment is strategic to business operations today and how to master payment management to drive business success.
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
Christian Kane is an Enterprise Mobility Management Research Analyst with Forrester Research, where he helps clients develop and improve their desktop and mobile strategy. His research spans mobile hardware, mobile operating systems, mobile device management solutions, and mobile applications.
Consumers worldwide continue to adopt and use technology in their shopping experience.
Faced with rising customer expectations and increasing competitive pressures, retailers
now are prioritizing in-store innovation. Many retailers have adopted multichannel
implementations, in which mobile, web, and in-store shopping are enabled but not delivered
consistently to the customer. The next step in this evolution is an omnichannel strategy, now
being deployed by some retailers, which presents a consistent shopping experience across
mobile, web, and in-store channels. Omnichannel also enables retailers to integrate back-end
infrastructure technologies (e.g., servers, databases, etc.) and cloud-based services (e.g., loyalty
programs, personalized recommendations, inventory management, etc.) to improve many
aspects of store and enterprise operations.
An omnichannel strategy relies on several core and supporting technologies. The key factors in
evaluating any omnichannel-enabling solution includ
ASG's Business Service PortfolioT (BSPT) Virtualization Management provides comprehensive oversight, inspections, discoveries, warnings, diagnostics, and reporting for the critical technology and administrative disciplines involved in virtual workload management. This is all done in parallel with physical systems management.
Improved business productivity often requires more efficient IT and more efficient IT cannot be achieved without a better understanding of the way business services are run and delivered. Configuration Management Databases (CMDBs) have emerged as a central component for Information Technology Infrastructure Library (ITIL) and business service management (BSM).
For many organizations, managing and delivering the knowledge contained within documents is difficult or impossible due to technological disparity. Conventional approaches to knowledge
management work within the constraints of disparate platforms, applications, and output devices, and fail to address technological disparity.
Published By: Extensis
Published Date: May 04, 2008
With a library of thousands of on- and off-line slides growing by 1,200 new images monthly, chaos was spreading like a disease in The Pathology Department at Oregon Health & Science University. Until they found the perfect solution to help them organize, track and access their image library - Portfolio Server.
Published By: Zynapse
Published Date: Jun 16, 2010
Data Governance has emerged as the point of convergence for people, technology and process in order to manage the crucial data (information) of an enterprise. This is a vital link in the overall ongoing data management process for it maintains the quality of data and makes it available to a wide range of decision making hierarchy across an organization
The multigenerational workforce, compliance requirements, and new technologies are the top trends affecting human capital management today. This white paper explores the need for HR leaders to develop new strategies for managing the increasingly diverse workforce, and the role workforce management technology and HCM tools will play in its success.
"Principled Technologies executed four typical deployment and management scenarios using both HPE Synergy and Cisco UCS.
They found that HPE Synergy saved 71.5 minutes and 86 steps, and used four fewer tools compared to Cisco UCS. In a hypothetical 200-node datacenter, that’s a total of 9 work weeks, or just over 2 months’ time savings on routine tasks."
Published By: Cisco EMEA
Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.