Mobile is the new normal for users to connect and consume content, you need to consider apps, mobile integration,security, analytics, development tools, life-cycle management, various mobile stakeholders, and the overall enterprise mobile ecosystem.
This report explores the evolution of the key features of course apps mobility, interactivity, engaging design, and integrated analytics — and showcase how course apps are sparking new thinking in higher education about the next iteration of digital learning resources.
Le rapport note cependant que les investissements dans l’analytics sont en perte de vitesse. Apparemment, les entreprises ont tellement à cœur de se prêter au jeu de l’expérience qu’elles ont tendance à s’éparpiller, quitte à négliger l’essentiel.
HR processes are changing. And, with the global skills crisis, HR Directors are struggling to attract and retain the best talent. Their departments are in flux, and 77% of organisations report a perceived lack of strategic value from HR.* If you’re going to win the war for talent, your organisation will need to make a radical change. It must transform its HR and become a People Company, utilising people data and analytics to make decisions based on real evidence. This will improve the way you interact with current and future employees, providing great workforce experiences. The result will be a more committed and engaged workforce, and increased interest in joining your organisation. From a business perspective too, you’ll benefit through higher levels of productivity, efficiency and improved performance and engagement.
Java applications have been a central technology for enterprises for two decades. This wealth of data, functionality, and knowledge are critical to enterprises. With Java-based applications, modern development can build on a platform that enables cloud-native architectures while simultaneously supporting existing applications. This combination of traditional enterprise-wide monoliths and cloud-based application deployment allows organizations to take advantage of existing knowledge and resources while actively moving toward newer application models.
Published By: Workday
Published Date: Feb 04, 2019
"Read now to learn about three key steps drawn from the “2018 Deloitte Global Human Capital Trends” report that emerging organisations can take to attract and retain top talent, including:
? Redefining careers
? Creating more personalised performance enablement to boost employee engagement
? Using data-driven technology and analytics to enhance business value
Published By: Workday
Published Date: Feb 04, 2019
Human capital management technology plays a key role in helping organizations navigate the rise of the social enterprise, providing the ability to manage the full worker lifecycle, from recruitment to retention, and delivering the analytics needed to drive key business decisions. Read about the four steps businesses should take now.
Making key decisions that improve business performance requires more than simple insights. It takes deep data discovery and a keen problem solving approach to think beyond the obvious. As a business leader, you ought to have access to information most relevant to you that helps you anticipate potential business headwinds and craft strategies which can turn challenges into opportunities finally leading to favorable business outcomes.
WNS DecisionPoint , a one-of-its kind thought leadership platform tracks industry segments served by WNS and presents thought-provoking original perspectives based on rigorous data analysis and custom research studies. Coupling empirical data analysis with practical ideas around the application of analytics, disruptive technologies, next-gen customer experience, process
transformation and business model innovation; we aim to arm you with decision support frameworks based on points of fact.
Detect attacks that get past perimeter defenses across the digital business. Detect malicious patterns in encrypted traffic. No decryption is needed with our Encrypted Traffic Analytics technology and multilayer machine learning. Extend your network visibility.
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions.
Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits.
For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars
Apache Spark has become a critical tool for all types of businesses across all industries. It is enabling organizations to leverage the power of analytics to drive innovation and create new business models.
The availability of public cloud services, particularly Amazon Web Services, has been an important factor in fueling the growth of Spark. However, IT organizations and Spark users are beginning to run up against limitations in relying on the public cloud—namely control, cost and performance.
After buzzing Industry 4.0 all over the media by all OT and IT experts, today, a few key concepts seem to unveil the potential that the industry believes is behind Industry 4.0. These include: Smart Machines, Smart Factory, cyber physical systems, Everything-as-a-Service and a few technologies like OPC UA, cloud and data analytics.
Clearly, they are the innovation drivers and must-haves for every vendor of automation products that want to be recognized as leaders or challengers. Sooner or later they will become standards and used by followers and niche players, but the key question for the market of automation suppliers is not who is first in developing and providing all the nice concepts and technologies, but who is creating and combining them in the right way so that they can be turned into new revenue streams.
We keep in mind that competitive advantages can be achieved through increasing operational efficiency, but the better way is through strategic uniqueness. Companies which ar
The supply chain for manufacturers and distributors is facing challenges around increased analytics, multichannel fulfillment, talent shortages, and the use of new technologies such as wireless, augmented reality, robotics and machine-to-machine (M2M). At the same time, there is continued focus on cost reduction and sustainability.
The Industrial Internet of Things is driving a huge transformation as it increases the interconnection between connected devices and analytics. The smart manufacturing enterprise can seize opportunities to maximize efficiency and safety through networking and intuitive collaboration with its users.
This eBook shares practical steps to follow for a smart material handling and logistics approach.
Hewlett-Packard (HP) is unique in this EMA Radar in its ability to combine two threads – a single analytic overlay as embodied in its Service Health Analyzer (SHA) product, and a broader suite solution optimized for HP to participate in all three use cases here with maximum functional impact. This is not entirely a black-and-white situation, as SHA does leverage and currently largely depends on integration with HP Business Service Management 9.1, which is itself a suite. But SHA can assimilate other third-party sources, checks out brilliantly in early-phase deployments in terms of time-to-value and analytic power, and is the lead reason for HP’s strong Value Leader showing in technical performance management.
Do your leaders have what it takes to generate improved performance and execution from their employees. Get your report now, compliments of SuccessFactors, and ensure that your business has the leadership capital it needs.
With today's shortage of critical talent, strategic workforce planning is one of HR's most important responsibilities. Discover the common pitfalls that trap many companies-and how to avoid them. Get your compliments report from SuccessFactors now.
These days, a company success depends on whether it hired the right people to effectively execute its strategies. Download this paper, compliments of SuccessFactors, and learn the critical questions you should ask before interviewing talent.
Will the people you need for your future workforce be there? This complimentary SuccessFactors white paper shows how to shorten the journey to data-driven decision-making about talent. Download it today.
Technology plays an integral role in enabling businesses to have access to insightful analytics. By providing metrics on core workforce facts, workforce financials, productivity and performance, talent development and succession and human capital risk, companies are able to identify those 10- 15 metrics most important to business goals. This will enable them to present the Board of Directors with a comprehensive and concise story of workforce capabilities. The best place, we suggest, is with expert, practical guidance. Download this informative resource.
Published By: Teradata
Published Date: Jan 28, 2015
Althrough Hadoop and related technologies have been with us for several years, most business intelligence (BI) professionals and their business counterparts still harbor a few misconceptions that need to be corrected about Hadoop and related technologies such as MapReduce.
This webcast presents the 10 most common myths about Hadoop, then corrects them. The goal is to clarify what Hadoop is and does relative to BI, as well as in which business and technology situations Hadoop-based BI, data warehousing and analytics can be useful.