Published By: IBM APAC
Published Date: Jul 19, 2019
AI applications and especially deep learning systems are extremely demanding and require powerful parallel processing capabilities. IDC research shows that, in terms of core capacity, a large gap between actual and required CPU capability will develop in the next several years.
IDC is seeing the worldwide market for accelerated servers grow to $25.6 billion in 2022, with a 31.6% CAGR. Indeed, this market is growing so fast that IDC is forecasting that by 2021,12% of worldwide server value will be from accelerated compute.
Download this IDC report to find out why organizations like yours will need to make decisions about replacing existing general-purpose hardware or supplementing it with hardware dedicated to AI-specific processing tasks.
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.
Artifi cial intelligence is becoming a key component of business transformation. Virtually any business leader seeking to unlock value and develop new capabilities using technology is at some stage of the AI journey. For example, those at the leading edge have incorporated machine learning insights into business processes and are building functionality such as natural language processing and preventative maintenance diagnostics into their products. Others are experimenting with pilot projects or developing plans to get started.
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.
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.
Published By: Flexential
Published Date: Jul 17, 2019
By 2020, there will be 50 billion devices producing 600Zb of data, driving enterprises to assess their IT infrastructures to keep pace with unprecedented data processing demands. Is your business ready to handle this data explosion?
In this on-demand webinar, you’ll hear Tim Parker, Vice President of Network Services at Flexential, and Craig Matsumoto, Senior Analyst of Data Center Services at 451 Research, discuss the evolution of data – and how enterprises are processing and creating it. Download now to hear Parker and Matsumoto examine how edge computing solutions are meeting the latency demands of an increasingly digitized world.
Written by: IDC Abner Germanow, Jonathan Edwards, Lee Doyle IDC believes the convergence of communications and mainstream IT architectures will drive significant innovation in business processes over the next decade.
Published By: Genesys
Published Date: Dec 20, 2018
Companies across the world are innovating with artificial intelligence (AI) to improve customer experience and forge deeper relationships with customers. Through surveys and interviews with 599 executives, from large and mid-sized companies across the globe, this MIT report reveals that most customer-centric firms have already deployed AI extensively in their customer-facing operations and customer experience management processes.
Get the global report and regional spotlights on North America, Latin America, Europe and Asia to access complete results. Key insights include:
• Nearly 90% of respondents report measurable improvements in the speed of complaint resolution; 80% note enhanced call volume processing using AI
• 80% of respondents report measurable improvements in customer satisfaction, service delivery and contact center performance
• In North America, 60% of the respondents believe they will deliver a 10% or more increase in customer lifetime value in the next year
Continuous member service is an important deliverable for credit unions, and. the continued growth in assets and members means that the impact of downtime is affecting a larger base and is therefore potentially much more costly. Learn how new data protection and recovery technologies are making a huge impact on downtime for credit unions that depend on AIX-hosted applications.
Customer service is, was and always will be a top priority for companies.
But today’s digital age has given rise to a new kind of customer with far different expectations — making customer service more complex than ever.
Here’s the good news: By aligning People, Process & Technology (PPT), you can not only meet these new expectations, but exceed them by providing a more personalized and proactive customer experience.
In this ePaper, you’ll learn how order processing automation helps you:
• Create a more engaged, empowered staff
• Eliminate low-value tasks like data entry
• Provide 100% visibility into every order processed
The SAP HANA platform provides a powerful unified foundation for storing, processing, and analyzing structured and unstructured data. It funs on a single, in-memory database, eliminating data redundancy and speeding up the time for information research and analysis.
The spatial analytics features of the SAP HANA platform can help you supercharge your business with location-specific data. By analyzing geospatial information, much of which is already present in your enterprise data, SAP HANA helps you pinpoint events, resolve boundaries locate customers and visualize routing. Spatial processing functionality is standard with your full-use SAP HANA licenses.
Published By: Cisco EMEA
Published Date: Jun 19, 2019
Imagine if you could see deep into the future. And way back into the past, both at the same time. Imagine having visibility of everything that had ever happened and everything that was ever going to happen, everywhere, all at once.
And then imagine processing power strong enough to make sense of all this data in every language and in every dimension. Unless you’ve achieved that digital data nirvana (and you haven’t told the rest of us), you’re going to have some unknowns in your world.
To find out more download this whitepaper today.
Your business is changing. As a finance leader, you know that accounting is a labour-intensive, costly process where
systems often don’t allow for expedient exception handling and many days are fraught with difficulty in matching
invoices to other databases for reconciliation. Like most companies, you know where you want to go but may not have
infrastructure or internal expertise to handle electronic fund transfers, credit card payments or cheque processing— all
the pieces required to make your vision for an efficient, integrated operation a reality.
Published By: Lenovo UK
Published Date: May 13, 2019
It’s time to think bigger than incremental processing power and storage capacity upgrades. In 2019 IT modernisation offers much more, providing opportunities to closely align infrastructure with your most ambitious goals and build a future-facing foundation for success.
Whatever your goals, this playbook gives you six versatile strategies that can help you plan a successful IT modernisation project, supported by examples from our industry-leading data centre portfolio.
Published By: Cisco EMEA
Published Date: Mar 08, 2019
And then imagine processing power strong
enough to make sense of all this data in every
language and in every dimension. Unless
you’ve achieved that digital data nirvana (and
you haven’t told the rest of us), you’re going
to have some unknowns in your world.
In the world of security, unknown threats exist
outside the enterprise in the form of malicious
actors, state-sponsored attacks and malware
that moves fast and destroys everything
it touches. The unknown exists inside the
enterprise in the form of insider threat from
rogue employees or careless contractors –
which was deemed by 24% of our survey
respondents to pose the most serious risk to
their organizations. The unknown exists in the
form of new devices, new cloud applications,
and new data. The unknown is what keeps
CISOs, what keeps you, up at night – and we
know because we asked you.
After evaluating all the options on the market, one company chose Automation Anywhere RPA to start its digital transformation journey and automate its invoice processing, help desk, and internal financial reporting processes. The company achieved its initial goals—and more. It got the first initiative—automating accounts payable—up and running in less than 6 months, and increased the efficiency of the operation by 300%.
Although data and analytics are highlighted throughout the popular press as well as in trade publications, too many managers think the value of this data processing is limited to a few numerically intensive fields such as science and finance. In fact, big data and the insights that emerge from analyzing it will transform every industry, from “precision farming” to manufacturing and construction. Governments must also be alert to the value of data and analytics as the enabler for smart cities. Institutions that master available data will leap ahead of their less statistically adept competitors through many advantages: finding hidden opportunities for efficiency, using data to become more responsive to clients, and developing entirely new and unanticipated product lines. The average time spent by most companies on the S&P 500 Index has decreased from an average of 60 to 70 years to only 22 years. There are winners and losers in the changes that come with the evolution of both technology
The retail sector has been expanding with each passing decade thanks to intelligent marketing, intense research around customer behavior, creative advertising, and the adoption of new technology. Now industry movers and shakers are looking to boost sales with location intelligence.
With location intelligence, retail companies can track and predict consumer trends and shifts in demand. With these insights companies can capitalize on growth opportunities in new product or service areas.
HERE Open Location Platform provides powerful, easy-to-use developer tools, standardized technology and scalable infrastructure to simplify the processing of location-based data. Learn how to gain a competitive edge with HERE Technologies.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
Data from The Hackett Group’s most recent Purchase-to-Pay Performance Study shows that organizations with high levels of AP automation save 43% on invoice processing costs. However, top-performing organizations don’t focus solely on process automation.
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
What if you could reduce the cost of running Oracle databases and improve database performance at the same time? What would it mean to your enterprise and your IT operations?
Oracle databases play a critical role in many enterprises. They’re the engines that drive critical online transaction (OLTP) and online analytical (OLAP) processing applications, the lifeblood of the business. These databases also create a unique challenge for IT leaders charged with improving productivity and driving new revenue opportunities while simultaneously reducing costs.
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