Curated content for content, computing, and digital experience professionsals

Category: Enterprise Software & Integration (Page 1 of 15)

Enterprise content integration

Enterprise content integration (ECI) is a middleware software technology, often used within large organizations, that connects together various types of computer systems that manage documents and digital content. ECI systems often work in tandem with other technologies such as enterprise content management, document management, groupware, and records management. It takes a decentralized approach in order to manage content from various resources.

Also see enterprise information integration.

Information Objects

The idea behind ‘information objects’ was that discrete pieces of information, along with metadata, were what should be the raw data for computing. Computing with information objects rather than bits or bytes or fixed-length records was the evolutionary step in information processing that would make the next big difference. 

See Document Management & Information Objects

 

Information integration

Information integration (II) is the merging of information from heterogeneous sources with differing conceptual, contextual and typographical representations.

Enterprise information integration (EII) supports a unified view of data and information for an entire organization.  It is used in data mining and consolidation of data from unstructured or semi-structured resources. Typically, information integration refers to textual representations of knowledge but is sometimes applied to rich-media content.

Also has been referred to as Enterprise Content Integration (ECI).

Also see:

The Gilbane Report: Vol 12, Num 6 — What is Enterprise Information Integration (EII)?

 

What’s your digital experience IQ (integration quotient)?

digital experience networking at Gilbane DX conference

Digital experience integration: learn & network

Technology and operational integration remain the most difficult and costly implementation issues for digital experience and digital transformation initiatives. Understanding the integration technologies and practices most critical for your project is a requirement for success.

This year in DC we are expanding our ability to help organizations with some of the most common integration challenges by co-locating with three events that focus on key components of digital experience strategies. These include CRM, natural language, speech, and chatbot technologies.

To encourage cross-discipline learning and networking there are “All Access” passes available for all conference attendees to attend sessions in the other events; and a combined technology showcase and networking events are available to all attendees.

Reserve your seat today and take advantage of four multi-track events in one location to up your DX “IQ” – integration quotient.

Learn more ▪︎ Program ▪︎ Register

Marketing Technologists on Multichannel and Enterprise Integration

Marketing technologists are no longer rare birds, though they are often found in unfamiliar environments with less than obvious plumage. There are marketing technologists in many of our sessions this year, but we have selected a few to look at the two toughest challenges they, and their organizations, face in building modern digital strategies: support for consistent current and future multichannel experiences, and the necessary integration of data from multiple enterprise systems.

Join us Tuesday, December, 2: 1:30 p.m. – 2:30 p.m. at the Gilbane Conference to learn more.

T1. Track Keynote Panel: Marketing Technologists Discuss Multichannel and Enterprise Integration Challenges

Moderator:
Scott Brinker, Founder & CTO, ion interactive, inc. and Author, Chief Marketing Technologist Blog

Panelists:
Bill Simmons, CTO/Co-Founder, DataXu
Frederick Faulkner, Director, Marketing & Digital Strategist, ICF Interactive
Vikalp Tandon, Director and North America Customer Platform Lead, SapientNitro

Why Big Data is important to Gilbane Conference attendees

If you think there is too much hype, and gratuitous use of the term, big data, you haven’t seen anything yet. But don’t make the mistake of confusing the hype with how fundamental and how transformational big data is and will certainly be. Just turn your hype filter to high and learn enough about it to make your own judgements about how it will affect your business and whether it is something you need to do something about now, or monitor for future planning.

As I said yesterday in a comment on a post by Sybase CTO Irfan Khan Gartner dead wrong about big data hype cycle (with a response from Gartner):

However Gartner’s Hype Cycle is interpreted I think it is safe to say that most, including many analysts, underestimate how fundamental and how far-reaching big data will be. How rapidly its use will evolve, and in which applications and industries first, is a more difficult and interesting discussion. The twin brakes of a shortage of qualified data scientist skills and the costs and complexities of IT infrastructure changes will surely slow things down and cause disillusionment. On the other hand we have all been surprised by how fast some other fundamental changes have ramped up, and BDaaS (Big Data as a Service) will certainly help accelerate things. There is also a lot more big data development and deployment activity going on than many realize – it is a competitive advantage after all.

There is also a third “brake” which is all the uncertainty around privacy issues. There is already a lot of consumer data that is not being fully used because of fear of customer backlash or new regulation and, one hopes, because of a degree of respect for consumer’s privacy.

Rob Rose expanded on some specific concerns of marketers in a recent post Big Data & Marketing – It’s A Trap!, including the lack of resources for interpreting even the current mostly website analytics data marketers already have. It’s true, and not just for smaller companies. In addition there are at least four requirements for making big data analytics accessible to marketers that are largely beyond the reach of most current organizations.

Partly to the rescue is Big Data as a Service BDaaS (one of the more fun-sounding acronyms). BDaaS is going to be a huge business. All the big technology infrastructure firms are getting involved and all the analytics vendors will all have cloud and big data services. There are also many new companies including some surprises. For example, after developing its own Hadoop-based big data analytics expertise Sears created subsidiary MetaScale to provide BDaaS to other enterprises. Ajay Agarwal from Bain Capital Ventures predicts that the confluence of big data and marketing will lead to several new multi-billion dollar companies and I think he is right.

But while big data is important for the marketers, content managers, and IT who attend our conference because of the potential for enhanced predictive analytics and content marketing. The reach and value of big data applications is far broader than marketing – executives need to understand the potential for new efficiencies, products and businesses. The well-known McKinsey report “Big Data: The Next Frontier for Innovation, Competition, and Productivity” (free) is a good place to start. If you are in the information business I focus on that in my report Big-Data: Big Deal or Just Big Buzz? (not free).

Big data presentations at Gilbane Boston

This year we have six presentations on big data, two devoted to big data and marketing and all chosen with an eye towards the needs of our audience of marketers, content strategists, and IT. You can find out more about these presentations, including their date and time on the conference program.

Keynote

Bill Simmons, CTO, DataXu
Why Marketing Needs Big Data

Main Conference Presentations

Tony Jewitt, VP Big Data Solutions at Avalon Consulting, LLC
“Big Data” 101 for Business

Bryan Bell, Vice President, Enterprise Solutions, Expert System
Semantics and the Big Data Opportunity

Brian Courtney, General Manager of Operations Data Management, GE Intelligent Platforms
Leveraging Big Data Analytics

Darren Guarnaccia, Senior VP, Product Marketing, Sitecore
Big Data: What’s the Promise and Reality for Marketers?

Stefan Andreasen, Founder and Chief Technology Officer, Kapow Software
Big Data: Black Hole or Strategic Value?

Update: There is now a video of me being interviewed on big data by CMS-Connected.

Informatica Delivers Data Parser for Hadoop

Informatica Corporation, the provider of data integration software, announced the immediate availability of Informatica HParser, a data parsing transformation solution for Hadoop environments. Informatica HParser runs on distributions of Apache Hadoop, exploiting the parallelism of the MapReduce framework to efficiently turn unstructured complex data, such as web logs, social media data, call detail records and other data formats, into a structured or semi-structured format in Hadoop. Once transformed into a more structured format, the data can be used and validated to drive business insights and improve operations. Available in a free community edition and commercial editions, Informatica HParser provides organizations with the solution they require to extract the value of complex, unstructured data. http://www.informatica.com

IBM Unveils Big Data Software

IBM unveiled new software for managing and analyzing big data to the workplace. The new offerings span a wide variety of big data and business analytics technologies across multiple platforms from mobile devices to the data center to IBM’s SmartCloud. Now employees from any department inside an organization can explore unstructured data such as Twitter feeds, Facebook posts, weather data, log files, genomic data and video, and make sense of it as part of their everyday work experience. IBM is also placing the power of mobile analytics into the hands of iPad users with a free download in Apple’s iTunes Store. The new software is designed to help employees in industries such as financial services, healthcare, government, communications, retail, and travel and transportation use and benefit from business analytics on the go. IBM is delivering new analytics and information management offerings: New Hadoop-based analytics software on the cloud, which helps employees tap into massive amounts of unstructured data from a variety of sources including social networks, mobile devices and sensors; New mobile analytics software for iPad users; and new predictive analytics software with a mapping feature that can be used across industries for marketing campaigns, retail store allocation, crime prevention, and academic assessment. http://www.ibm.com/

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