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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.
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
To meet future demands, businesses need to take advantage of multicloud technology without replacing your current storage, yet ensure that it is fast, cost-efficient, scalable, and modern. The right storage solution can help businesses to respond rapidly, expand capacity, and lower costs. This infographic looks at how businesses can modernise their infrastructure by investing in the next generation of IBM Storwize V7000, which is easy to scale, deploys faster and accelerates business execution with end-to-end NVMe.
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
Requirements for secure, long-term data retention are common and increasingly stringent, with data volumes growing massively as a result. Tape storage offers a less costly long-term storage option than disk drives or flash. And, data stored on tape kept offline, or on write-once media, is nearly invulnerable to hacking. This white paper looks at the benefits that IBM TS4300 Tape Library can provide businesses.
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
Disruption to data availability has the ability to cripple an organisation, and in the consumer goods market, restricted access to data could cause goods to take longer to get to market. To prepare for data outages, it is imperative that businesses have effective backup and recovery solutions in place to minimise downtime and maintain functionality. This case study examines how PT Wings Surya, a leader in the Indonesian consumer goods market, was able to increase business uptime, cut the time taken to run backup jobs from 8 to just 2 hours, and reduce backup costs by 60%.
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
According to IDC, SDS is transforming the IT deployment and consumption of storage resources creating peace of mind. So, deploying SDS is not a matter of “if” but a matter of “when”! SDS survey showed that 75% of enterprises have deployed or are considering to deploy SDS in their environment. This white paper looks at how 61% of enterprises that deployed SDS have realized tangible benefits, such as: • Reduction in CAPEX/OPEX costs • Ease of management • Reduction in provisioning time
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
With businesses developing larger data volumes to improve their competitiveness, their IT infrastructures are struggling to store and manage all of the data. To keep pace with this increase in data, organizations require a modern enterprise storage infrastructure that can scale to meet the demands of large data sets, while reducing the cost and complexity of infrastructure management. This white paper examines IBM’s FlashSystem 9100 solution and the benefits it can offer businesses.
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
Today’s IT organisations want simple, flexible storage infrastructures. IBM’s Storwize V5000 family of solutions are a fast, highly flexible, easy-to-use virtualised storage system that helps businesses to meet the challenges of rapid data growth in the context of limited IT budgets. This ESG report looks at the role the IBM Storwize V5000 family can have on addressing the storage needs of companies today.
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
It’s important to understand the impact of AI workloads on data management and storage infrastructure. If you’re selecting infrastructure for AI workloads involving ML and deep learning, you must understand the unique requirements of these emerging workloads, especially if you’re looking to use them to accelerate innovation and agility. This Gartner report highlights three main impacts that AI workloads have on data management and storage.
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IBM APAC
Published By: Group M_IBM Q3'19     Published Date: Jun 21, 2019
This paper explores the merits of agile integration architecture--a container-based, decentralized, and microservices-aligned approach for integration solutions that meets the demands of agility, scalability, and resilience required by digital transformation.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 21, 2019
The Handbook for all of your lightweight integration needs. In this book you will learn: - The impact of digital transformation on integration - Exploring agile integration architecture in detail -Moving forward with an agile integration architecture
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
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.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
Organizations in the global industrial products industry face significant challenges: cost pressures, increased regulations, disruptive technologies and the increasingly costly delivery of raw resources. High volatility in commodity prices has put severe pressure on company margins and can quickly expose inefficient operations.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
Digital technology is redefining possibilities in Energy, Environment and Utilities. Disruptive forces, emerging consequences, pressing challenges, and provocative opportunities. Learn how industries benefited from your data. Learn how IBM E&U describes disruptions manifested in Energy, Environment and Utilities. IBM identifies three ways your company focus can to stay ahead of the competition in pressing challenges. Additionally, identifying three provocative opportunity actions that are needed to get going.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
In Forrester’s evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
Delivering personalized customer experience remains the top business challenge for communications service providers (CSPs). Ovum's recently published 2018 ICT Enterprise survey saw almost all CSP IT executives interviewed identify delivering personalized customer experience as one of their three most important business challenges for the next 18 months. This trend emphasizes the high priority CSPs place on how customer relationships are managed. However, several factors have an impact on CSPs' ability to identify and then deliver customers' core needs. These include understanding the data sets they should focus on; collecting, cleansing, and consolidating these data sets; and having the right expertise to mine the data sets.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
"Use Watson Marketing capabilities to discover insights previously unknown, and use them to create new business models and revenue streams. Download the white paper to discover how you can better target and engage with customers."
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
"The state of chatbots has quickly evolved from a fad to an essential part of corporate strategy. No longer a nascent technology, chatbots have matured into solutions that enterprises across industries are taking seriously. But how do we distinguish a simple chatbot from human-like, AI- driven conversational solutions that we now see businesses adopting? In this three part series, we will examine what it means to deploy “Conversational A.I.” for the enterprise"
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
HfS published the Top 10 Cognitive Assistant Service Provider report that explores the emerging conversational service provider ecosystem across key areas including execution ability, innovation capability, and the voice of the customer. The conversational services called as Cognitive Assistants, go beyond the traditional chatbots and augment human-customer interaction across both front- and back-office business operations. IBM was recognized for its market leadership in Cognitive Assistant that harness the power of IBM Watson capabilities – including NLP, conversation and analytics. HfS also merits IBM for demonstrating the greatest volume and depth of cognitive assistant use cases across industry verticals and enterprise processes.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
To learn more about the insurance platform download our recently published white paper now.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
If a retailer views “Buy Online, Pickup In-Store” as purely e-commerce, they’re losing. Each transaction in which customers pickup in-store is a chance to add value to the relationship. Whether that means speed, cross-selling, or a unique bit of customer service that amplifies the visit, BOPIS plays just as important a role as the rest of the brick-and-mortar experience. Some trips may not translate to additional purchases right then and there, but the way a retailer handles pickup can dictate how the customer feels about the brand. To get the most out of BOPIS, retailers should ask themselves a few important questions.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 25, 2019
To become more effective, enterprises must fast-track projects to digitally connect their organizations. Building value and providing compelling customer experiences at lower cost requires more than a quick technology fix; it demands a business and technological commitment to a new target operating model (TOM). This operating model should offer a way of running the organization that combines digital technologies and operational capabilities to achieve improvements in revenue, customer experience and cost. Enabling digital capabilities via the TOM is an ongoing process that requires DevOps skills and agile development techniques. This is easier to achieve with partners that have the requisite capabilities to help with the creation of new digital assets
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 27, 2019
Organizations continue to rush down the digital transformation path. Whether by modernizing their IT infrastructures, leveraging the cloud, or becoming data-centric and data-driven, organizations must become more agile in their business practices and within their IT infrastructure stack to effectively compete in today’s dynamic business environment. Between the speed and distributed nature of modern businesses, as well as the expectation of instantaneous access to data from everyday users, it’s not surprising that nearly one in three organizations are looking into ways to improve data analytics for real-time business intelligence and customer insight.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 27, 2019
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.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
The days of data being narrowly defined as highly structured information from a few specific sources is long gone. Replacing that notion is the reality of a wide variety of data types coming from multiple sources, internal and external, to an organization. All of it is in service of providing everyone from IT, to line-of-business (LOB) employees, to C-level executives with insights that can have an immediate and transformative impact.
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Group M_IBM Q3'19
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