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.
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.
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
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.
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.
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.
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.
"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."
"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"
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.
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
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.
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
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.
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
The introduction of the IBM z14 ZR1 and LinuxONE Rockhopper II fills out the product line of the latest generation of IBM mainframes. Infrastructure and operations leaders tasked with managing, protecting and, increasingly, using data for competitive advantage will find this new release interesting.
Welcome to Secure Hybrid Cloud For Dummies, IBM Limited Edition. The hybrid cloud is becoming the way enterprises are transforming their organizations to meet changing customer requirements. Businesses are discovering that in order to support the needs of customers, there is an imperative to leverage the highly secure IBM Z platform to support missioncritical workloads, such as transaction management applications. The Z platform has been transformed over the years. The combination of z/OS, LinuxONE, open APIs, and the inclusion of Kubernetes has made IBM Z a critical partner in the hybrid cloud world. Businesses can transform their IBM Z environments into a secure, private cloud. In addition, through IBM’s public cloud, businesses may take advantage of IBM Z’s security services to protect their data and applications.
IBM rarely, if ever publicly, talks about the future of IBM Z. When IBM's sales managers have a oneon-one client conversation (under NDA), they might inform the customer about the next processor, but the company rarely talks about the mid- to long-term future publicly. An obvious reason for this is not to disrupt sales, but at the same time, IBM believes that it is sometimes working on problems that the market might not know it has yet. IBM felt that it was doing a disservice to its current and future customers by not being more open, which is why Tarun Chopra, director, Product Management for IBM Systems, and Ross Mauri, general manager, IBM Z, agreed to talk to IDC about the future of IBM Z. In these conversations, IBM was not putting a date on any of the topics it was willing to discuss. But the company was willing to talk about where it is investing R&D dollars and skills.
Artificial intelligence (AI), including machine learning and deep learning, is set to become one of the most transformational technologies in the history of the world, affecting most aspects of our lives whether we’re conscious of it or not. The application of these technologies will likely reshape how people work, study, travel, govern, consume and pursue leisure activities.
Webinar: Utilities are facing incredible challenges today driven by flattening demand, aging infrastructure, knowledge gaps, and challenging customer satisfaction requirements. Watch this webinar to learn how IBM Maximo for Energy & Utilities can help.