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
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
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.
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.
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.
Society simply must change the way it serves its most vulnerable members. Service delivery models are outdated and constrained by budgets, organizational structures and legislation. Citizens aren’t getting what they need to become more self-sufficient and recover from hard times or significant events such as disasters. Government isn’t keeping up with the demand generated by the complex times we live in and agencies are stressed to the breaking point by current service expectations. Something different must be done to generate better outcomes. This action requires better engagement between government and citizens which can lead to more self-reliant individuals and lower demands and costs on government. In California, one county is tackling this challenge head on and has found a better way to serve their citizens.
The cloud is ubiquitous. Whether we think about it consciously or not, almost all of us are using cloud services. That could be a music service such as Spotify, storage such as Dropbox, communications via Gmail, or a software-as-a-service application such as Salesforce. Cloud services touch all of our lives.
"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"
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.
Retailers know that stores will be a hub of sales activity for many years to come. While eCommerce sales continue to rise, the store remains the primary contributor to retail enterprise sales. It also serves as the retailer’s tangible face to the world.
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
In our 27-criterion evaluation of global internetof-things (IoT) services for connected business operations providers, we identified the 14 most significant ones — Accenture, Atos, Capgemini, Cognizant, Deloitte, Dimension Data, EY, HCL Technologies, IBM, Infosys, KPMG, PwC, Tata Consultancy Services (TCS), and Wipro — and researched, analyzed, and scored them. This report shows how each provider measures up and helps infrastructure and operations (I&O) professionals make the right choice.
In the Garage, you work side by side with IBM experts to create first-of-a-kind MVPs, experiment with emerging technologies and quickly learn from failures. In this webinar hear from Ed Forman, Partner of Cognitive Process Transformation at IBM. Ed has partnered with organizations across industries including automotive, life sciences, financial services and telecommunications. In his work with the IBM Garage he has helped shape an award-winning method for innovation that has transformed business models for Fortune 500 clients. Listen to this 30-minute presentation to find out more.
Basic diagramming tools allow business users to define an initial business process and provide a good path to getting your processes off of sticky notes and into a digital format. However, if company-wide collaboration, real-time change management and integration with automation tools are important to you, a dedicated process modeling tool may be your better choice.
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.
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.
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.