Are you looking for information to help you with your artificial intelligence deep learning journey? This Deep Learning Dummies guide will help you understand what AI, deep learning and machine learning can mean for you and your organization.
Discover the transformational power of intelligent storage. A company’s competitive success depends greatly on how well it harnesses the value of its data. However, it can be challenging to keep pace with the increases in the scale of data being generated, as well as users’ demands for accessibility. Additionally, maximizing the value of digital information requires data to be leveraged at both the optimal time and the optimal place. With HPE’s intelligent storage portfolio, organizations can modernize their IT to better understand their customers, run more agile IT functions, and improve logistical operations.
Published By: Conduent
Published Date: Jul 23, 2019
In this eBook, we’ve distilled the key information into a “decision guide” to help you head in the right direction with your technology planning. The guide walks you through the five main options for your technology and overviews the benefits and challenges related to each — so you can weigh the pros and cons and make the best technology choices for your organization. Complete the form at right to get your copy today.
Published By: Blackberry
Published Date: Jul 12, 2019
Technology is changing the way that businesses
across industries operate. Often referred to as
“digital transformation” or “digitization,” this change
is rapid, and it is relentless. It touches everything in the
legal profession from the completion of everyday tasks to
the way information is secured and shared
Published By: Riskified
Published Date: Aug 06, 2019
In Economics 101, students learn about the concept of a ‘perfectly competitive market’. This is a marketplace with many buyers, multiple sellers, undifferentiated products, and easily accessible information about prices. While this model is supposed to produce optimal outcomes for consumers and society as a whole, the theory dictates that hyper-competition will push sellers’ margins closer and closer to zero.
The days of data being narrowly defined as highly structured information from a few specific sources is long gone. Replacing that notion is the reality of a wide variety of data types coming from multiple sources, internal and external, to an organization. All of it is in service of providing everyone from IT, to line-of-business (LOB) employees, to C-level executives with insights that can have an immediate and transformative impact.
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
Enterprise resource planning (ERP) software is the backbone of modern manufacturing information systems, enabling the digital transformation that’s changing operations and customer expectations. As the movement toward a digital workplace evolves, your ERP system must keep pace.
Epicor commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study to examine the potential return on investment (ROI) of deploying Epicor ERP. Several manufacturers using Epicor ERP found:
• Faster access to data and improved real-time visibility enabled better decision-making
• Improved multi-company operational efficiency
• Increased competitiveness with faster turnaround of customer quotes and improved pricing accuracy
• Increased versatility with the Epicor ERP cloud offering
• Access to deep expertise in manufacturing best practices
Read the study to find out how else Epicor ERP has helped manufacturers.
Facing combined ratios exceeding 98% in both P&C and Health Insurance1 for
three of the past five years and declining investment yields, insurers are asking
“What can we change in our operations to improve our economics?” Conclusive
answers are now coming from Cognitive Technology, the variety of Artificial
Intelligence that deals with knowledge and textual information. Applied to the
industry’s most resource-intensive processes, it is delivering unprecedented
productivity gains and insight, and leading to deep changes in how P&C insurers
do business. Here’s how.
We live in a data-driven world where businesses
increasingly expect data to flood through their networks
at optimum speeds to do their jobs better, smarter, and
faster. Today, 75% of the workplace is said to be the
millennial generation(1), and many believe that millennial
workers are addicted to the “instant gratification”
phenomenon. This is a generation that grew up with
texting, instant messaging, social media, and more, all at
their service to deliver conversations and information in
an instant. As the speed of our data-driven world
continues to increase, so are the expectations of
workers whose jobs rely on instant data-driven communications.
At a projected market of over $4B by 2010 (Goldman Sachs), virtualizationhas firmly established itself as one of the most importanttrends in Information Technology. Virtualization is expectedto have a broad influence on the way IT manages infrastructure.Major areas of impact include capital expenditure and ongoingcosts, application deployment, green computing, and storage.
Today, when you make decisions about information technology (IT) security priorities, you must often strike a careful balance between business risk, impact, and likelihood of incidents, and the costs of prevention or cleanup. Historically, the most well-understood variable in this equation was the methods that hackers used to disrupt or invade the system.
The Business Case for Data Protection, conducted by Ponemon Institute and sponsored by Ounce Labs, is the first study to determine what senior executives think about the value proposition of corporate data protection efforts within their organizations. In times of shrinking budgets, it is important for those individuals charged with managing a data protection program to understand how key decision makers in organizations perceive the importance of safeguarding sensitive and confidential information.
Published By: Attivio
Published Date: Aug 20, 2010
With the explosion of unstructured content, the data warehouse is under siege. In this paper, Dr. Barry Devlin discusses data and content as two ends of a continuum, and explores the depth of integration required for meaningful business value.
Published By: Attivio
Published Date: Aug 20, 2010
Current methods for accessing complex, distributed information delay decisions and, even worse, provide incomplete insight. This paper details the impact of Unified Information Access (UIA) in improving the agility of information-driven business processes by bridging information silos to unite content and data in one index to power solutions and applications that offer more complete insight.
Managing service delivery in todayís complex and dynamic business environments demands new and different approaches from IT. The explosive growth and the rate of change of information has brought particularly daunting challenges for IT that have contributed to incredibly complex underlying infrastructures. To get a true picture of all of the components necessary to support an IT or Business Service, you must access and bring together data that resides in disparate data silos throughout the enterprise.
Aligning IT and business perspectives requires the ability to create links between configuration information in the CMDB and the business service as experienced by the user. Service Dependency Mapping (SDM) products automate the process of creating and maintaining these links.
Generally, CMDBs populated by discovery tools alone simply aren't usable. They fail because they contain massive amounts of irrelevant information. You avoid this pitfall by correctly populating your CMDB in four simple steps.
Application management requires visibility from multiple vantage points within the IT enterprise, combined with a centralized information store that pulls the technology pieces of the application puzzle into a coherent whole.
Application Portfolio Optimization (APO) provides executives with tools and information to assess the quality and condition of application assets as well as a means for understanding the impact of proposed application changes.