Welcome!

Containers Expo Blog Authors: Liz McMillan, Pat Romanski, Yeshim Deniz, Elizabeth White, Zakia Bouachraoui

News Feed Item

IBM Commits $100 Million to Globally Expand Unique Consulting Model That Fuses Strategy, Data and Design

New labs make thousands of multi-discipline experts available to help companies recreate their customer experience

ARMONK, N.Y., March 27, 2014 /PRNewswire/ -- IBM (NYSE: IBM) today announced plans to commit more than $100 million to globally expand its consulting services capability to help clients with experience design and engagement.  As part of the investment, the company will open 10 new IBM Interactive Experience labs around the world and plans to add 1,000 employees to create new, personalized models of engagement through data and design.

Located in Bangalore, Beijing, Groningen, London, Melbourne, Mexico City, New York, Sao Paulo, Shanghai, and Tokyo, the new labs provide clients with the opportunity to work side-by-side with researchers and consultants as well as experts in experience design, mobile and digital marketing. These multi-discipline teams analyze business challenges and jointly create solutions that integrate next-generation mobile, social, analytics and cloud technologies. IBM plans to open additional labs in the future to support the global demand for data-driven experiences.

"There's no longer any real distinction between business strategy and the design of the user experience. The last best experience that anyone has anywhere, becomes the minimum expectation for the experience they want everywhere, and the quality of that experience is entirely dependent on the use of individualized information," said Bridget van Kralingen, Senior Vice President of IBM Global Business Services. "As our clients recalibrate what it means to engage with their customers or employees, we're bringing them the full spectrum of world-class design and IBM Research, book-ended by strategy consulting and our strength in Big Data."

As hallmarks of the IBM Interactive Experience consulting practice, the new labs will enable companies to engage with their customers in entirely new ways. Researchers within IBM Interactive Experience are developing capabilities to harness the value of data to help clients create personalized experiences, while designers within IBM Interactive Experience are working directly with clients to develop experiences that are increasingly mobile-driven.  These experiences leverage IBM's MobileFirst portfolio to take advantage of the transformational nature of mobile solutions.  The combination of these capabilities and design elements hinge on insights IBM converts from data -- including information on individual decisions, choices, preferences and attitudes.

In addition to the 10 new labs and four existing locations in Atlanta, Boston, Chicago, and Toronto clients can partner with IBM Interactive Experience teams in IBM Research Labs in 12 locations around the world to personalize their every interaction with consumers.

Big Data Capabilities for Customer Experience
Along with the new facilities, IBM also unveiled new data-driven innovations from IBM Interactive Experience that help business leaders gain deeper insights into individuals and transform the way customers experience their products, services and brands. IBM researchers within IBM Interactive Experience invented unique algorithms that conduct the analysis for these new capabilities:

  • Intelligent Customer Profiles is an analytics-driven solution that enables consumers to directly manage the personal information companies use to provide them services. It also allows companies to proactively ask consumers questions, using a learning model to determine the next best question to ask an individual for a clearer picture of their preferences, while respecting privacy constraints. This helps companies improve the quality of customer profiles so they can provide better service, enhancing the relationship between a business and their customer. For example, an airline could use this capability to refine its scheduled service to better meet the needs of specific micro-segments of customers or a bank could make sure it's providing an individual customer with service on their preferred channel of communication.
  • Influence Analysis is an analytical approach that goes beyond basic social media influencer scoring to identify individuals who influence other consumers related to a specific topic. By knowing which consumers influence others' opinions of products and services, clients can optimize interactions in consumer communities down to the specific target topic. Combined with existing enterprise data, this capability allows clients to develop their own robust, customized influencer analysis that can be tuned based on specific business factors such as local location or language. This analysis can be used to help a company identify the best ambassador for their brand or hone in on the right targets for a viral marketing campaign, for example.
  • Customer Identity Resolution is a rules-based matching toolkit that helps enterprises build a broader understanding of who their customers are by connecting information across different data sources such as customer relationship management (CRM) records, social media accounts and other profile information. This is particularly useful for better understanding prospective customers that companies have little information on. After a company builds out comprehensive profiles of their customers, they can use analytics for business insights or conduct direct social marketing to existing customers on an opt-in basis.

These join an existing portfolio of data-driven capabilities including Life Event Detection, Behavioral Pricing and Psycholinguistic Analytics. Clients can choose these capabilities, or team with experts to co-create entirely new, customer-centric, innovative experiences that are unique to their business and the needs of the customers.

About IBM Big Data & Analytics
Each day we generate 2.5 quintillion bytes of data from a variety of sources -- climate information, to posts on social media sites, and purchase transaction records to healthcare medical images. At IBM we believe that data is emerging as the world's newest resource for competitive advantage, and analytics is the key to make sense of it. IBM is helping clients harness Big Data & Analytics to provide insights needed to make better decisions, create value, and deliver that value to customers and society. IBM has the world's deepest and broadest portfolio of Big Data & Analytics technologies and solutions, spanning services, software, research and hardware. For more information about IBM Big Data & Analytics, visit http://ibm.co/bigdataanalytics. Follow IBM Big Data & Analytics on Twitter @IBMbigdata and @IBMAnalytics.

For more information on IBM Interactive Experience, please visit www.ibm.com/gbs/interactive.

To join the social discussion about IBM Interactive Experience please follow @ibminteractive on Twitter.

Contact:
Ari Vanrenen
IBM Media Relations
[email protected]
1-415-545-6815

SOURCE IBM

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...