A&D manufacturers and their suppliers now depend more than ever on global supply chains. As they reach across time zones, languages and cultures, supply chains have to work around challenges that build up costs and drag down production schedules. Communication between distributed engineering and production centers can be labored and error-prone. These problems are often compounded by repetitive programming, incomplete simulations, time-intensive production methods, and concern that the shop floor may not be working with current data. Ideally, global companies should be able to design products at any location and produce them at selected sites, with all stakeholders from design to the shop floor working concurrently from a single unique global data source.
Understand how manufacturing companies can deliver machined parts faster and increase revenue by reducing costs – despite operating globally across time zones and cultures.
Published By: Teradata
Published Date: Jun 12, 2013
Download this paper to learn how Unified Data Architecture™ can bridge the gap between the business language of SQL, the extreme processing power of MapReduce, and the big data residing in Hadoop to provide a unified, high-performance big data analytics system for the enterprise.
Perhaps more than any programming language, Java continues to
have a profound impact on how people navigate today’s world. Java’s
functionality is responsible for setting a great deal of what users expect
in terms of performance from their internet-accessible devices.
The history of Java is more than two decades long and the language
continues to grow and adapt in response to evolving consumer and
business expectations. Throughout all of these changes, however, the
performance of Java applications remains a paramount concern for
The focus of modern business intelligence has been self-service; pushing data into the hands of end users more quickly with more accessible user interfaces so they can get answers fast and on their own. This has helped alleviate a major BI pain point: centralized, IT-dominated solutions have been too slow and too brittle to serve the business.
What has been masked is a lack of innovation in data modeling. Data modeling is a huge, valuable component of BI that has been largely neglected. In this webinar, we discuss Looker’s novel approach to data modeling and how it powers a data exploration environment with unprecedented depth and agility.
Topics covered include:
• A new architecture beyond direct connect
• Language-based, git-integrated data modeling
• Abstractions that make SQL more powerful and more efficient
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting.
Baldwin County Public Schools has built a curriculum that includes preparing students for the world of intelligent machines and empowering them to participate in the global community through language acquisition. The district sought a technology-based solution to provide students with the opportunity for long-term language learning.
Making your talent global-ready is key to your organization's future. A big part of global readiness lies in language and cultural skills. Knowledge of another language and culture builds bridges to customers and colleagues, and studies show that the ability to connect delivers measurable business impact. Building effective language and cultural learning programs is not difficult, but first HR must uncover the need - which often remains hidden from plain view.
A key element in the equation is communication, and if your employees can't communicate with their peers--or worse their customer--your business will fail. Explore this infographic to understand how Rosetta Stone Catalyst balances the equation.
Thrill customers and empower employees with omni-channel, socially-infused digital experiences to drive better business outcomes
IBM Customer Experience Suite features rich, integrated capabilities for managing web content, rich-media assets, real-time social communications, robust customer self-service capabilities, business analytics and mobile device delivery
IBM Employee Experience Suite enables employees to easily find and share relevant information across multiple platforms, diverse geographies with multiple languages, and within the context of business applications
"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust.
Watch this webinar to learn:
• How you can more effectively communicate with data.
• What constitutes an intuitive and highly navigable report
• How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time.
• Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."
Published By: LogMeIn
Published Date: Feb 27, 2018
When Facebook released their bot feature, M, the virtual assistant living inside their Messenger platform, it was billed as the next generation of how people connect and interact with the internet. Since then, over 18,000 companies have created their own branded chatbots with the help of Facebook’s platform.
Never ones to miss out on a trend, Microsoft, Google and Apple have all been hard at work developing their own integrated chatbot features. Brands of all shapes and sizes, from American Express to 1800-Flowers to Domino’s Pizza, all have their own chatbots, proving the versatility of the concept. As Microsoft CEO Satya Nadella said at the 2016 Build conference, “As an industry, we are on the cusp of a new frontier that pairs the power of natural human language with advanced machine intelligence.”
Published By: LogMeIn
Published Date: Feb 27, 2018
Most customer engagement solutions on the market require complex data analysis and months of implementation before you start seeing results. But Bold360 ai uses Natural Language Understanding to start learning your customers’ needs from the very first interaction. Its smart routing capability directs customers to the best resource available, and captures data in an intuitive dashboard. Start seeing results now with Bold360 ai.
With the new TIBCO Spotfire® A(X) Experience, we are revolutionizing analytics and business intelligence.
This new platform accelerates the personal and enterprise analytics experience so you can get from data to insights in the fastest possible way. With the fusion of technology enablers like machine learning, artificial intelligence, and natural language search, the Spotfire® X platform redefines what’s possible for analytics and business intelligence, simplifying for everyone how data and insights are generated, consumed, and acted on.
Download this whitepaper to learn more, then check out the new Spotfire analytics. It’s unlike anything you have ever seen. Simple, yet powerful, it changes everything.
Published By: CheckMarx
Published Date: Apr 03, 2019
Dinosaurs are super cool. That’s an
indisputable fact. There are some
places though, where dinosaurs don’t
belong, and one of those is in your
fast-paced DevOps environment. Early
on, in the days before DevOps and
Continuous Integration, one of the
original players in the AppSec space
produced an early SAST tool, offering
a wide variety of supported languages,
and they quickly built name recognition
and a large install base of customers.
Yet, 15 years and two acquisitions later,
that company has become a software
dinosaur – a mere relic – maintaining a
product that is too big, too slow, and
too clunky to deliver the innovation
needed to protect its customers in the
Recognizing the shift to a subscription business model required real-time customer support, Autodesk turned to IBM technology to enhance its customer experience.
Using Watson Assistant, Autodesk developed a virtual agent to interact with customers, applying natural language processing (NLP) and deep learning techniques to recognize and extract the intent, context and meaning behind inquiries. Quickly resolving easy customer concerns, Watson Assistant is supporting 100,000 conversations per month, with response times 99% faster than before and leading to a 10-point increase in customer satisfaction levels for Autodesk.
Find out how Watson Assistant can accelerate your customer support experience.
Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
Moving Beyond Traditional Decision Support
Future-proofing a business has never been more challenging. Customer preferences turn on a dime, and their expectations for service and support continue to rise. At the same time, the data lifeblood that flows through a typical organization is more vast, diverse, and complex than ever before. More companies today are looking to expand beyond traditional means of decision support, and are exploring how AI can help them find and manage the “unknown unknowns” in our fast-paced business environment.
Published By: Red Hat
Published Date: Dec 22, 2010
Join us live starting at 7 a.m. EST on Jan. 26, 2011. The event will be on-demand worldwide the months following. The Red Hat Virtual Experience is a complimentary global online forum of Red Hat experts, partners, customers, and the open source community.
Improving the customer experience is a strategic imperative for most
organizations today, but delivering an engaging experience across the growing
number of digital customer touch points can be a daunting challenge.
Organizations must deliver responsive experiences that “play well” on
smartphones, PCs, and tablets. They must publish content to installed app
experiences on mobile and other connected devices, to social channels, and
to email campaigns. They must manage global sites in different languages,
localize the experience for different markets, and — increasingly — personalize
the experience for different customer personas or segments.
A modern digital experience management platform is essential for any
organization hoping to make digital experience delivery a core competency.
IDC interviewed organizations using Adobe Experience Manager Sites (AEM
Sites) to understand the impact of the platform on their ability to create,
manage, and deliver digital experiences. Study participants