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By: IBM APAC     Published Date: Nov 22, 2017
A user initiates the call and selects the source language, such as Spanish. (In this example, assume that the target language is set to English.) As the user is talking to the support representative, the audio is converted to text using the Speech to Text service. Then using Language Translator, the text is translated to English. English language text is then sent to the Text to Speech service as input. The output audio message is what the support representative hears. All of this happens in near real time. The text from Speech to Text and the Language Translator service also can be stored in a database for analytics. The same process is repeated in reverse for the audio message sent by support personnel.
Tags : source, language, english, spanish, speech to text, database, analytics, audio message, support
     IBM APAC
By: IBM APAC     Published Date: Nov 22, 2017
Using IBM Watson’s cognitive capabilities, companies can quickly differentiate their customer service quality by being more pro active and responsive to customer needs. Simply put, chatbots and virtual agents are the future of customer interactions. Building apps from scratch that incorporate natural language processing, speech to text recognition, visual recognition, analytics, and artificial intelligence requires broad expertise in these disciplines, large staffs, and a huge financial commitment. Making use of IBM Watson cognitive services brings these capabilities in-house quickly and without the capital investment that would be needed to develop the technologies within an organization.
Tags : decision making, deeper data, insights, cognitive, analytics, ibm, watson, virtual agents
     IBM APAC
By: IBM APAC     Published Date: Nov 22, 2017
Glossary:Terms You Should Know Take your data analysis and deep learning expertise to the next level with these industry terms.
Tags : api, application, programming, interface, artificial intelligence, base, encoding, chrome, code page
     IBM APAC
By: IBM APAC     Published Date: Nov 22, 2017
It is imperative that organizations start looking now for smarter solutions to the problems associated with unstructured data. There are many issues related to unstructured data that need to be readily addressed such as storage, discovery, organization, tagging and deduplication. One of the most important issues related to unstructured data is finding and discovering key business insights as quickly as possible, preferably in near real time, to gain a significant competitive advantage.
Tags : storage, discovery, organization, tagging, deduplication, competitive, advantage
     IBM APAC
By: IBM APAC     Published Date: Nov 22, 2017
AlchemyAPI’s approach to natural language processing incorporates both linguistic and statistical analysis techniques into a single unified system. This hybrid approach provides an industry-leading advantage since both techniques have benefits and drawbacks depending on the content and specific usecases. Linguistic analysis takes a basic grammatical approach to understand how words combine into phrases, and how those phrases combine into sentences. While this approach works well with editorialized text (e.g., news articles and press releases), it does not perform as well when it comes to usergenerated content, often filled with slang, misspellings and idioms. Statistical analysis, however, understands language from a mathematical standpoint and works well on “noisy” content (e.g., tweets, blog posts, and Facebook status updates). The combination of these two approaches allows for increased accuracy on a variety of content.
Tags : industry, advantage, linguistic, grammatical, statistical analysis, content
     IBM APAC
By: International Business Systems (IBS)     Published Date: Aug 29, 2011
Powered by IBM i Solution Editions hardware, IBS's ERP applications enable improved efficiencies, scalability and cost savings.
Tags : ibs, distribution logistics, distribution management, wholesale distribution, distribution resource management, supply chain management, erp, enterprise, resource, resource planning
     International Business Systems (IBS)
By: SAS     Published Date: Apr 16, 2015
Former Intel CEO Andy Grove once coined the phrase, “Technology happens.” As true as Grove’s pat aphorism has become, it’s not always good news. Twenty years ago, no one ever got fired for buying IBM. In the heyday of customer relationship management (CRM), companies bought first and asked questions later. Nowadays, executives are being enlightened by the promise of big data technologies and the role data plays in the fact-based enterprise. Leaders in business and IT alike are waking up to the reality that – despite the hype around platforms and processing speeds – their companies have failed to established sustained processes and skills around data.
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     SAS
By: IBM APAC     Published Date: Jun 21, 2019
Understanding cloud environments and making decisions about multiloucd management can be complex. Questions arise, such as how organizations need to change in this multicloud world. Working with enterprise customers, IBM has identified ten key pain points and related best practices that help organizations successfully navigate these transformations. This covers the following key pain points: • Cost transparency and visibility • Dynamic, up-to-date Catalog • IT to operate in two, connected models • Standardized consumption • Aggregated services for added value • Integration remains a necessity • Control without obstruction • Challenges of user management • Primary consumption: Machine-to-machine purchase • Internal and external IT role changes
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     IBM APAC
By: IBM APAC     Published Date: Jun 21, 2019
Companies with multicloud services are outperforming their peers on a number of metrics — and achieving the key objectives that led them to the cloud services model. Take a look at the IT ecosystem of any company today and there’s a good chance you’ll find it includes offerings from several cloud services providers. That’s certainly the case at mid- to large-sized companies with at least 500 employees, according to a recent survey conducted by IDG Research. The survey of 100 senior IT professionals found that 59% are already multi-cloud adopters — that is, using computing and storage services from two or more cloud providers. Another 31% of respondents say they plan to become multi-cloud organizations in the coming 12-24 months, with only 10% still in the “consideration” phase. The survey results also reveal interesting insights into the drivers behind multicloud adoption. The perennial desire to reduce IT costs remains important, but the respondents rate two other factors.
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     IBM APAC
By: IBM APAC     Published Date: Jun 21, 2019
Moving major, business-supporting applications to the cloud can be a challenge for a variety of reasons. You may have concerns about the physical migration of data, as data loss or business disruption stemming from a migration issue would be a disaster for the business. Security is another typical concern, as a data breach of your most sensitive applications—like SAP or Oracle— could prove highly damaging. Akin to security, data sovereignty is an issue for many businesses. Stringent compliance laws in some jurisdictions are dictating data “residency”; and in the cloud, it is not always clear where the data is housed. Among managed cloud service users, 68% state that using such services helps them to better manage resource allocation and make SAP and Oracle costs more predictable. In this paper, we will look at common concerns over deploying and optimally managing business-critical, legacy applications in the cloud. We consider the benefits of managed cloud services, and how your
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     IBM APAC
By: IBM APAC     Published Date: Jul 09, 2017
In a recent report, Aberdeen's research suggests that Hadoop usage could be a catalyst for an enhanced and well-rounded data strategy. Read on to find out more.
Tags : hadoop, big data, data strategy
     IBM APAC
By: IBM APAC     Published Date: Jul 09, 2017
Organizations today collect a tremendous amount of data and are bolstering their analytics capabilities to generate new, data-driven insights from this expanding resource. To make the most of growing data volumes, they need to provide rapid access to data across the enterprise. At the same time, they need efficient and workable ways to store and manage data over the long term. A governed data lake approach offers an opportunity to manage these challenges. Download this white paper to find out more.
Tags : data lake, big data, analytics
     IBM APAC
By: IBM APAC     Published Date: Jul 09, 2017
This Knowledge Brief investigates the impact of a data lake maintained in a cloud or hybrid infrastructure.
Tags : data lake, cloud, hybrid
     IBM APAC
By: IBM APAC     Published Date: Jul 09, 2017
This document outlines how Best-in-Class firms use efficient content processes to achieve higher levels of customer centricity.
Tags : customer, ecm, enterprise content management, customer experience
     IBM APAC
By: IBM APAC     Published Date: Jul 09, 2017
The purpose of this executive brief is to explore the challenges companies face in implementing enterprise search and to offer a new, robust set of technologies to help.
Tags : data, ecm, enterprise content management
     IBM APAC
By: IBM APAC     Published Date: Jul 09, 2017
IT departments are under constant pressure to deliver improved user experiences that lead to revenue growth. Achieving this goal requires addressing multiple areas at once: taking advantage of the flexibility and scalability of the cloud; empowering mobile users with anytime, anywhere access; and accelerating digital transformation.
Tags : digital transformation, ecm, enterprise content management, cloud, flexibility
     IBM APAC
By: IBM APAC     Published Date: Jul 09, 2017
Are you making the most of your enterprise content? Doing so can mark the difference between being a disruptor and being disrupted. Download this infographic to find out more.
Tags : digital transformation, enterprise content, ecm, enterprise content management
     IBM APAC
By: Red Hat     Published Date: Jan 01, 2009
The number 1 independent tire retailer tried, unsuccessfully, to build an online platform based on Windows. Ultimately, the company succeeded instead with a solution built with Red Hat Enterprise Linux, Red Hat Network Satellite, Apache, WebLogic, and IBM Lotus Domino Server.
Tags : e-commerce business, red hat, satellite
     Red Hat
By: IBM     Published Date: Nov 10, 2016
FAKE
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     IBM
By: IBM     Published Date: Feb 10, 2017
testing again
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     IBM
By: IBM     Published Date: Sep 27, 2011
Take a look at this summary which reveals that companies who have implemented comprehensive B2B Integration programs are reaping huge benefits!
Tags : supply chain visibility, network intelligence, data management, b2b integration, b2b collaboration, managed services, cloud computing, social supply chain
     IBM
By: IBM     Published Date: Oct 07, 2011
Need for Speed and Flexibility Drives Manufacturers to Reengineer External Processes Around B2B Integration.
Tags : external process, idc, technology, ibm, b2b integration
     IBM
By: IBM APAC     Published Date: Jun 07, 2017
The 2017 CEI results indicate that brands have significant room for improvement in terms of satisfying customer expectations: On a scale from 0 to 100, the average CEI score is 33. Download this white paper to find out more.
Tags : customer experience, customer analytics, customer behavioural analytics, customer experience management
     IBM APAC
By: IBM APAC     Published Date: Jun 07, 2017
This Total Economic Impact (TEI) analysis has been prepared exclusively for you based on your inputs. The analysis provides a high-level estimate of the impact of implementing IBM customer behavior analytics solutions.
Tags : customer experience, customer analytics, customer behavioural analytics, customer experience management
     IBM APAC
By: IBM APAC     Published Date: Jun 07, 2017
Read this white paper to discover the 5 best practices for understanding customer journeys.
Tags : customer experience, customer journey, satisfaction, customer experience management
     IBM APAC
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