As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing.
To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
The data center is coming under immense pressure. The boom in connected devices means increasing volumes of data – and all that needs processing. One way for CSPs to accelerate customer workloads is by using FPGAs, which are easier to use than ever before.
Download Intel's latest eGuide, ‘FPGA-as-a-Service: A Guide for CSPs' to discover:
• How to add FPGAs to the data center
• The structure of the Intel® Acceleration Stack for FPGAs
• Adding off-the-shelf accelerator functions
• How FPGAs can accelerate many cloud services, such as database as a service and analytics as a service
Stakeholders increasingly expect more from the finance function than transactional processing and historical reporting. Will you meet the challenge or are you at risk of getting left behind?
Read this report to understand:
• what CEOs are looking for from their finance functions
• six priority areas CFOs should focus on to meet new demands from the business
• how leading companies are transforming their finance functions
• five steps for turning disruption into opportunity.
Your contact center is a hotbed of activity, constantly processing calls and emails, chats and social media posts, problems and solutions. As a result, it generates the kind of “big data” that other departments wish they had. But collecting that data is just the beginning. The next step is turning it into a plan of action.
All things that can be automated will be automated. Beyond the careful choreography of sophisticated workflow, managing myriad simultaneous requests puts unprecedented demand on the software that must schedule and perpetually deliver against well-defined service levels, in real time. Gone are the days of simple batch processing. Welcome to the oh-so-very-flat world that is embracing service-oriented architectures, grid architectures, expansive ecosystems, and end-to-end processing. Workload scheduling has got to grow up.
We all have an intuitive idea of what an event is. However, when it comes to the use of the term "event" within a business context then it is easy to get confused. This papers seeks to explain what events are, whey they are important to your business, and what the options are for processing and managing these events (depending on their type and volume).
Batch Application Integration allows you to process critical transactions, such as payment authorizations, in real-time, and cue fulfillment (such as packaging and shipping) or other lower priority actions for batch processing. Learn more about Batch Application Integration, and how BMC CONTROL-M makes it possible.
This whitepaper will review how business processes are more efficient in an electronic data environment. Enterprise Capture enables customer service improvement, cost cutting, and compliance for financial institutions such as Flagstar and Randolph Brooks Federal Credit Union (RBFCU).
See how some retail banks have redirected their focus to a more customer -centric approach. This whitepaper includes success stories from Banco Inversis and GMAC Commercial Mortgage Corporation (now Ally Financial) which highlight how Kofax has helped them maintain and even increase their competitive edge.
The Kofax enterprise capture platform offers unmatched scalability from centralized to highly distributed environments, from individual desktops to enterprise deployments and from basic archival scanning to powerful document classification and separation and data extraction. The company's market leading technology supports a wide variety of input devices and line of business applications, providing a strong enterprise-wide platform on which to standardize document driven processes.
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.
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate.
In this lab evaluation, NetApp commissioned Demartek to evaluate the effectiveness of Flash Pool with different types and numbers of hard disk drives using an online transaction processing (OLTP) database workload, and to evaluate the performance of Flash Pool in a clustered Data ONTAP environment during a cluster storage node failover scenario.
In the report, you’ll dis cover how Demartek test engineers documented a 283% gain in IOPS and a reduction in latency by a factor of 66x after incorporating NetApp Flash Pool technology.
IBM Analytics for Apache Spark for Bluemix is an open-source cluster computing framework with in-memory processing to speed analytic applications up to 100 times faster compared to other technologies on the market today. Optimized for extremely fast and large scale data processing-you can easily perform big data analysis from one application.
Only a handful of industries have been transformed by the digital age the way banking has. Internet and mobile banking, digital wallets, and a raft of new and innovative products have redefined “the bank” from a local, brick-and-mortar branch to an anytime-anywhere process. The new banking environment has opened opportunities for national, regional, and community banks alike, which are no longer constrained to serve only customers located in the areas where they maintain a physical branch presence. But it has also brought challenges associated with collecting, processing, analyzing, storing, and protecting vast amounts of new data, from multiple locations and sources.
In this report, Forrester reveals how order management systems (OMS) solve the omni-channel deficiencies of traditional systems, allowing retailers to orchestrate complex order processing scenarios - from the point of capture, through the supply chain, and to the point of fulfillment. Read the report today.
"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)."
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data.
Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
The General Data Protection Regulation (GDPR) framework seeks to create a
harmonized data protection framework across the European Union, and aims
to give back EU citizens control of their personal data by imposing stricter
requirements for those hosting and processing this data, anywhere in the
IBM is committed to putting data responsibility first and providing solutions
that are secure to the core for all customers. As such, IBM Cloud has fully
adopted the EU Data Protection Code of Conduct for Cloud Service providers
– meaning we agree to meet the entirety of its stringent requirements.
Oracle Blockchain Cloud Service, an enterprise grade distributed ledger, is part of a comprehensive PaaS portfolio delivered by a scalable, distributed transaction processing platform that accelerates revenue, create new revenue streams and reduces risk.
The advantages blockchain can bring to the automotive ecosystem, both in facilitating
collaboration among participants and enabling capabilities for new mobility business
models, have gotten the attention of automotive executives. In addition to enabling a
single source of data, blockchain can facilitate device-to-device transactions, smart
contracts, and real-time processing and settlement. For the automotive industry, this
translates into improvements and operational efficiencies in areas such as supply chain
transparency, financial transactions between ecosystem participants, authenticating
access to cars, and customer experience and loyalty.
Published By: CyrusOne
Published Date: Jul 05, 2016
Many companies, especially those in the Oil and Gas Industry, need high-density deployments of high performance compute (HPC) environments to manage and analyze the extreme levels of computing involved with seismic processing. CyrusOne’s Houston West campus has the largest known concentration of HPC and high-density data center space in the colocation market today. The data center buildings at this campus are collectively known as the largest data center campus for seismic exploration computing in the oil and gas industry. By continuing to apply its Massively Modular design and build approach and high-density compute expertise, CyrusOne serves the growing number of oil and gas customers, as well as other customers, who are demanding best-in-class, mission-critical, HPC infrastructure. The company’s proven flexibility and scale of its HPC offering enables customers to deploy the ultra-high density compute infrastructure they need to be competitive in their respective business sectors.
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.