Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.

"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: Top 5 causes of downtime and poor performance across the infrastructure stack How machine learning and predictive analytics can prevent issues Steps you can take to boost performance and availability"

Cisco's 2015 Mobility Landscape Survey provides new insights into how mobility is being approached by mid-market and enterprise organizations globally Specific objectives include: • Discovering insights into current strategy and future plans • Identifying priority mobility initiatives and top challenges • Learning how IT and Business leaders’ views, priorities and objectives align and differ • Building a global and local view from over 1400 respondents across 14 countries in every geography

"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability

Stories and statistics behind successful analytics projects The adoption of analytics across the enterprise is accelerating, and with good reason. Analytics can offer a competitive advantage by helping to identify growth opportunities, circumnavigate risk and improve customer relationships. These insights are becoming crucial parts of the business strategy for executives representing a wide array of industries. Check out our latest eBook to see how some of the world’s leading companies are using analytics to meet their needs. You’ll receive diverse examples of how organizations applied the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and material change to uncover meaning in data. The examples represent global brands across critical industries – Financial Services, Insurance, High-Tech, Aerospace, Manufacturing and others – where analytics helped answer their most challenging questions.

The misuse or takeover of privileged accounts constitutes the most common source of breaches today. CA Threat Analytics for PAM provides a continuous, intelligent monitoring capability that helps enterprises detect and stop hackers and malicious insiders before they cause damage. The software integrates a powerful set of user behavior analytics and machine learning algorithms with the trusted controls provided by CA Privileged Access Manager (CA PAM). The result is a solution that continuously analyzes the activity of individual users, accurately detects malicious and high-risk activities and automatically triggers mitigating controls to limit damage to the enterprise.

Learn why advanced analytics tools are essential to sustain a competitive advantage. This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.

E-learning is already known to be the most efficient and cost effective way to deliver training to a workforce. However, the best way to truly prepare employees for meeting organisational objectives is to focus the training on three major areas of skill development. Using a learning solution that is capable of delivering optimal training on each type of skill and checking for comprehension by examining the outcomes from other HR processes will drive performance within the company as employees develop their soft, functional and compliancebased skills.

Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.

TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms. Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.

Data is the fuel driving rapid innovation powered by artifi cial intelligence. Enterprises need modern data platform purpose-built for machine learning, accelerating insight while simplifying complex data pipelines in analytics.

Analysts and industry experts agree: Digital disruption in manufacturing is on the horizon. Technologies like the Internet of Things, dynamic enterprise management, global supply chain visibility, and machine learning are already changing the way manufacturers produce goods and interact with customers. Further changes will continue to intensify issues and reveal opportunities.

Analysts and industry experts agree: Digital disruption in manufacturing is on the horizon. Technologies like the Internet of Things, dynamic enterprise management, global supply chain visibility, and machine learning are already changing the way manufacturers produce goods and interact with customers. Further changes will continue to intensify issues and reveal opportunities.

The enterprise landscape has changed dramatically with the influx of millennials — and their preferred devices — into the workforce. As a result, Macs that were once limited to mostly niche usage are now rapidly expanding their enterprise footprint. These devices require the same level of security and oversight that organizations apply to all of their other devices. Otherwise, the risk of leaving Macs either unmanaged or secured by point products creates security gaps that can leave the enterprise open to cyberattacks and compliance violations. The good news is, MobileIron makes it easy to secure Macs the same way all other devices in the enterprise are managed. No integrations, additional training, or learning curves are involved. The time has come for a modern approach to Mac management that is seamless for end users, improves operational efficiency, and simplifies IT operations across the entire device lifecycle. MobileIron makes it all possible.

In the ongoing evolution of the customer experience, organizations continue to rely on phone and email while introducing new customer engagement channels. With the channel mix rapidly changing, it has become more important than ever to accurately identify and proactively deploy the next-best channels for engaging customers today and tomorrow. Gartner Research has profiled 15 ways that organizations will engage customers over the next 20 years. This includes augmented reality, virtual reality and mixed reality immersive solutions which will be adopted by 20% of large enterprises by 2020. By learning which engagement channels will best meet your customers’ needs in the future and prioritizing those aligned with your business model, you can improve customer engagement and

Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe

Stop us if you’ve heard this one before: The learning management system is dead. The LMS is mentioned in learning the same way that people talk about applicant tracking systems in recruiting and performance evaluation solutions in talent management. They’re the technologies people love to hate. The solutions people want to love? Many times, these are the so-called “next-generation solutions.”

The top clients of enterprise language learning companies consist of global companies that recognize the value of multilingual employees. While companies understand the necessity of language learning, there is room for improvement in incorporating language learning into corporate culture. This report looks at what companies are doing in the realm of language learning, to understand what best-in-class organizations are doing, and to provide businesses aspiring to be truly successful on a global stage with strategies for incorporating language learning into their business model. Forbes Insights and Rosetta Stone surveyed 214 executives around the globe to find out if and how companies are training their employees to speak and work in more languages and what impact that training has on both the employees and the company. In addition, the narrative is rounded out with in-depth interviews with executives and experts.

As enterprises embark on the digital transformation to take advantage of artificial intelligence, big data, machine learning, IoT, and cloud, they need a network infrastructure that gives them a solid foundation. Juniper Networks® Unite CloudEnabled Enterprise allows networking across your entire enterprise—campus, branch, and data center—ultimately helping you reduce risk, increase agility, lower costs, and enhance the customer experience. Here are the Top 6 reasons why enterprises embarking on the journey of digital transformation should switch to the Juniper Unite Cloud-Enabled Enterprise solution.

When implementing an enterprise fleet management and telematics solution, enterprise fleets, large and small, see significant value, cost-savings, and operational excellence that result in maximized profits across your organization's bottom line. This guide will assist you in learning about the wide range of benefits from a dynamic enterprise fleet management and telematics software and the latest features empowering fleets to make data-driven decisions that improve safety, efficiency, and productivity to drive long-term quantifiable success.

Delivering great content is often the biggest stumbling block to effective learning in many organizations. A sensible content strategy can help any organization jump-start, rebuild, or enhance its learning initiatives.

Enterprises grapple with a host of challenges that are spurring the creation of hybrid clouds: collections of computing infrastructure spread across multiple data centers and multiple cloud providers. This new concept often provokes uncertainty, which must be addressed head on. As more applications and computing resources move to the cloud, enterprises will become more dependent on cloud vendors, whether the issue is access, hosting, management, or any number of other services. Cloud consumers want to avoid vendor lock-in—having only one cloud provider. They want to know that they will have visibility into data and systems across multiple platforms and providers. They want to be able to move servers and storage around without a negative impact on application availability. The good news is that more solutions become available every day, but with a learning curve and numerous management challenges and considerations. This CITO Research paper provides advice for managers about how to c

With smartphones and tablets becoming more commonplace in enterprise environments, the interest in mobile learning is growing. Many organizations see the promise of mobile learning, but actual implementations are still relatively rare. Is now the time to take the plunge into mobile learning? Is your organization prepared? It’s important for organizations to focus on some basic issues before making this important decision.

Enterprise HR departments are using social technology to improve employee recruiting, onboarding, knowledge sharing, mergers and acquisitions, and learning and development. These innovative applications lead to measurable improvements in job satisfaction, employee retention and the bottom line.

Your employees are also online consumers of information and entertainment. You can maximize enterprise learning by applying practices from the new generation of information delivery, while keeping the best of the old-school approaches.