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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: 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
In the past several years, IDC has witnessed how many organizations have started to develop a wide range of AI capabilities. Initially launched as experiments by relatively inexperienced staff and executed on whatever infrastructure was available, these initiatives have now started to gain critical mass. Many organizations have developed extensive AI expertise, and they are having first-hand experience with the speed with which their AI capabilities are becoming a critical aspect of their business. At the same time, IT too has journeyed through a learning curve with regard to the infrastructure to run AI on. There is today much greater clarity as to the infrastructure requirements for deep learning training or inferencing and how to scale those environments for production. That deep learning training requires different infrastructure than other workloads is pretty much a given. Deep learning training wants clustered nodes with strong processors, powerful coprocessors, fast interconne
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IBM APAC
Published By: Group M_IBM Q3'19     Published Date: Jul 19, 2019
Hear the highlights from industry leaders presented their experience in digital transformation at Reinventing Financial Services 2019. Hearing from executives leading IT, operations, and lines of business from companies such as USAA, Bank of America, HSBC, Prudential, and many others in this session, we’ll cover the strategies and tactics for building the platforms necessary for reinventing customer experience, empowering employees and creating te
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jul 18, 2019
AI innovation in retail starts with a tech-forward company culture, from C-suite stakeholders down to every employee. AI greatly enhances a retailer’s ability to harness data for better merchandising, marketing, and customer service. It will not only complement existing retail jobs but introduce brand new roles and skill sets into the human workforce.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jul 17, 2019
Watch a demo to see how IBM Maximo can help maximize uptime, boost operational performance and accelerate transformation in your enterprise asset management practices.
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Group M_IBM Q3'19
Published By: IBM APAC     Published Date: Jul 15, 2019
TBC
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IBM APAC
Published By: IBM APAC     Published Date: Jul 15, 2019
TBC
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IBM APAC
Published By: IBM APAC     Published Date: Jul 15, 2019
TBC
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IBM APAC
Published By: IBM APAC     Published Date: Jul 15, 2019
TBC
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IBM APAC
Published By: IBM APAC     Published Date: Jul 15, 2019
TBC
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IBM APAC
Published By: IBM APAC     Published Date: Jul 15, 2019
TBC
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IBM APAC
Published By: Group M_IBM Q3'19     Published Date: Jul 15, 2019
Read how Cheniere  is transforming the maintenance of complex assets at the upgraded Sabine Pass facility with IBM Maximo.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jul 15, 2019
Read why IBM was named a Leader in the Gartner Magic Quadrant for Enterprise Asset Management 2018, positioned highest for ‘Ability to execute and furthest for ‘Completeness of Vision
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Group M_IBM Q3'19
Published By: Group M_IBM Q2'19     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 Q2'19
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q2'19
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
With the right cloud solution, you can turn on and pay for extra resources when necessary. You could provide additional compute resources from your cloud data warehouse to regional offices for the few days per quarter when they need to run financial analyses—and avoid paying for those resources the rest of the quarter.
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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.
Tags : 
    
Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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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
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