NICE, the leader in workforce management, introduces the most advanced forecasting
tools on the market with WFM 7.0. Building on its recognition as the industry standard,
NICE WFM 7.0 Forecasting with Artificial Intelligence chooses the optimal daily forecast
model to provide staffing levels and budgeting that are more accurate than those
delivered by any other WFM solution.
Published By: IBM APAC
Published Date: May 14, 2019
IBM PowerAI Enterprise helps to make deep learning easier and faster for organizations by bringing together some of the most popular open source frameworks for deep learning, with development and management tools in a single installable package. Designed to simplify end-toend deep learning, PowerAI Enterprise allows enterprises to spend less time on data preparation, implementation and integration, and more time training neural networks for results. IBM PowerAI Enterprise version 1.1.2 includes the most popular deep learning frameworks in one installation:
- BVLC Caffe
- Keras (tensorflow-keras)
Founded over a century ago for the betterment of society, The London School of Economics and Political Science (LSE) is one of the foremost social science universities in the world. The prestigious University has produced some of the leading lights in fi elds including law, economics, history and politics, with dozens of Nobel Prize winners and Members of Parliament among its alumni.
Today, the LSE is home to more than 10,000 students and 3,300 staff, placing considerable demand on its IT service management
team. However, as the university continued to expand in scope and complexity, its support team looked for new solutions to
overcome the infl exible and outdated service management tools.
Nicos Kyriacou, IMT Service Management Offi cer at LSE, explained: “We had the same tool for over a decade and it was so rigid that we were forced to adapt our working practices around it, rather than vice versa.
Effective workload automation that provides complete management level visibility into real-time events impacting the delivery of IT services is needed by the data center more than ever before. The traditional job scheduling approach, with an uncoordinated set of tools that often requires reactive manual intervention to minimize service disruptions, is failing more than ever due to todays complex world of IT with its multiple platforms, applications and virtualized resources.
VanillaSoft is used by thousands who need robust lead management software with CRM functionality but also need to power their inside sales reps and drive productivity by deploying best in class productivity tools.
"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."
Discover HPE OneSphere, a hybrid cloud management solution that enables IT to deliver private infrastructure with public-cloud ease. With the proliferation of self-service, on-demand infrastructure, enterprise developers have come to expect infrastructure as a service. However, the constraints of existing infrastructure and tools make this mean heavier workloads for IT teams.
The widespread use of mobile devices — smartphones and tablets — provides anytime, anywhere computing and communications resources for individuals worldwide. Both smartphones and tablets have made the transition from a personal resource, acquired and supported by consumers, to a professional resource, provided and supported by employers. For midsize firms around the world, those with 100–999 employees, mobile resources play a key role in improving workplace productivity as well as allowing greater flexibility in how and where work is done.
New collaboration resources also allow staff in different locations to work together as efficiently and effectively as staff in the same office. The challenge for IT management is how best to coordinate the different collaborative and mobile resources and provide secure management of mobile devices and collaboration tools while enhancing workforce agility and productivity.
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
Forrester conducted in-depth surveys with 330 global BI decision-makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and big data tools. In this paper, you will learn what separates the leading companies from the rest when it comes to exploiting innovative technologies in BI and analytics, and what steps you can take to either stay a leader or join their ranks.
This white paper, produced in collaboration with SAP, provides insight into executive perception of real-time business operations in North America. It is a companion paper to Real-time Business: Playing to win in the new global marketplace, published in May 2011, and to a series of papers on real-time business in Europe, Asia-Pacific and Latin America.
Leading companies and technology providers are rethinking the fundamental model of analytics, and the contours of a new paradigm are emerging. The new generation of analytics goes beyond Big Data (information that is too large and complex to manipulate without robust software), and the traditional narrow approach of analytics which was restricted to analysing customer and financial data collected from their interactions on social media. Today companies are embracing the social revolution, using real-time technologies to unlock deep insights about customers and others and enable better-informed decisions and richer collaboration in real-time.
A hybrid infrastructure strategy needs to define your right mix of cutting edge infrastructure, power your right mix with the best internal and external resources and optimize your right mix with leading management tools to ensure success every step of the way. Download now to learn more!
Network performance management tools can drive operational efficiency and improve network
uptime, but many network managers haven’t adopted such tools. The potential benefits of a
performance management tool are substantial, but network managers must make a business
case for such investment. This white paper reveals why network operations teams should invest
in network performance management solutions, and how they can justify to IT management and
CIOs that the tool will deliver a substantial return on investment, along with improving IT’s ability to
support business goals.