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By: IBM     Published Date: Feb 10, 2017
testing upload with underscores #3
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     IBM
By: Adobe     Published Date: Nov 09, 2017
In our 26-criteria evaluation of digital intelligence (DI) platform providers, we identified the 10 most significant ones — Adobe, Cxense, Evergage, Google, IBM, Localytics, Mixpanel, Optimizely, SAS, and Webtrekk — and researched, analyzed, and scored them. This report shows how each provider measures up and helps customer insights (CI) professionals make the right choice.
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     Adobe
By: Adobe     Published Date: Feb 27, 2018
Forrester's research uncovered a market in which Adobe and Salesforce lead the pack. IBM, Oracle, Salesforce, SAP Hybris, and SAS offer competitive options. Marketo lags but is still a contender.
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     Adobe
By: Adobe     Published Date: Mar 26, 2018
In our 26-criteria evaluation of digital intelligence (DI) platform providers, we identified the 10 most significant ones — Adobe, Cxense, Evergage, Google, IBM, Localytics, Mixpanel, Optimizely, SAS, and Webtrekk — and researched, analyzed, and scored them. This report shows how each provider measures up and helps customer insights (CI) professionals make the right choice
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     Adobe
By: Oracle CX     Published Date: Oct 20, 2017
For the past several years IBM has been divesting its hardware business. At the same time, Oracle has continued to invest in IT infrastructure and cloud innovation. Oracle SPARC servers offer you greater performance and efficiency compared to IBM Power systems, with additional security and lower costs, along with the flexibility to run your applications on-premises or in the Oracle Cloud.
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     Oracle CX
By: Oracle CX     Published Date: Oct 20, 2017
Oracle is making significant engineering investments to ensure that Oracle systems coupled with Oracle software deliver the best possible business results. Integrated hardware, accelerated virtualization, and encryption ensure that cloud deployments benefit from the utmost agility and security without suffering performance losses.
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     Oracle CX
By: IBM Watson Health     Published Date: Mar 30, 2018
Chilmark Research, a global research and advisory firm, recently released a report rating vendors and solutions in the healthcare analytics industry. IBM Watson Health, a leader in healthcare analytics, has put together this infographic comparing how its solutions stack up against some of the closest competitors in the industry in areas such as population discovery and definition, predictive analytics, cost and utilization, and claims data contribution.
Tags : analytics, infographic, predictive analytics, cost utilization, population discovery, claims data, healthcare, chilmark, strategy, healthcare analytics
     IBM Watson Health
By: IBM     Published Date: Mar 28, 2018
The global electronics industry is the cornerstone of the digital economy and the Internet of Things (IoT). Electronic devices act as conduits for users’ digital experiences, which are now seamlessly enabled and updated in the cloud. The industry’s digital device success has also introduced its latest challenge: going beyond the device. Leveraging data to drive insights is key to delivering greater value. Doing so requires electronics firms to flawlessly integrate hardware, software, services and data while learning from and adapting to users. Through Digital ReinventionTM, they can combine digital approaches and data by design to drive new capabilities, changing business from the ground up
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By: IBM     Published Date: Mar 28, 2018
Automotive firms need to rethink their organizations from the ground up through a process we call Digital Reinvention.
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By: IBM     Published Date: Mar 28, 2018
2018 Benchmarking Report
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By: IBM     Published Date: Jun 29, 2018
IBM LinuxONE™ is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor™ II, is designed for businesses where the following may be required: • protecting sensitive transactions and minimizing business risk • accelerating the movement of data, even with the largest databases • growing users and transactions instantly while maintaining operational excellence • accessing an open platform that speeds innovation
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By: IBM     Published Date: Jun 29, 2018
LinuxONE from IBM is an example of a secure data-serving infrastructure platform that is designed to meet the requirements of current-gen as well as next-gen apps. IBM LinuxONE is ideal for firms that want the following: ? Extreme security: Firms that put data privacy and regulatory concerns at the top of their requirements list will find that LinuxONE comes built in with best-in-class security features such as EAL5+ isolation, crypto key protection, and a Secure Service Container framework. ? Uncompromised data-serving capabilities: LinuxONE is designed for structured and unstructured data consolidation and optimized for running modern relational and nonrelational databases. Firms can gain deep and timely insights from a "single source of truth." ? Unique balanced system architecture: The nondegrading performance and scaling capabilities of LinuxONE — thanks to a unique shared memory and vertical scale architecture — make it suitable for workloads such as databases and systems of reco
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By: IBM     Published Date: Jun 29, 2018
Every day, companies generate mountains of data that are critical to their business. With that data comes a clear challenge: How do you protect exabytes of data that's strewn across global data centers, computer rooms, remote offices, laptops, desktops, and mobile devices, as well as hosted by many different cloud providers, without choking business agility, employee productivity, and customer experience? The solution lies not in throwing more technology at the network, but in taking specific steps to identify malicious actions and respond to them in order to fix the issue, a process known as operationalizing security.
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By: IBM     Published Date: Aug 01, 2018
Forrester & IBM collaborate on a guide to DevOps velocity to learn how to rapidly exceed customer expectations without sacrificing quality.
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By: IBM     Published Date: Sep 11, 2018
casd
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     IBM
By: IBM APAC     Published Date: Apr 27, 2018
To make the best treatment decisions, doctors at Memorial Hermann required rapid, reliable access to patients medical records and fast insight into changing health indicators. Deploying IBM FlashSystem, physicians at Memorial Hermann can now rapidly access healthcare information and perform sophisticated analysis to identify early signs of illness and take appropriate action for patients 99% faster.
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     IBM APAC
By: IBM APAC     Published Date: Apr 27, 2018
While relying on x86 servers and Oracle databases to support their stock trading systems, processing rapidly increasing number of transactions fast became a huge challenge for Wanlian Securities. They shifted to IBM FlashSystem that helped them cut average response time for their Oracle Databases from 10 to less than 0.4 milliseconds and improved CPU usage by 15%. Download this case study now.
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     IBM APAC
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, enterprise applications
     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: 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
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