Group items tagged

1.ChatOps and activity streams are an important part of a connected company's infrastructure. 2. We need better AI and other tech to help deal with chat overload. 3. Tools like Slack could be very well-suited to supporting networks of small teams. 4. We are just getting started with chat and messaging in the workplace, so there is much still to learn. 5. Early adopters declare things 'over' before second wave adopters have even used them. Let's wait and see what happens at scale

Strong evidence indicates that imitation and innovation have been driving the spread of Enterprise 2.0 tools. Using modeing techniques,McKinsey found that 35 percent of the companies had adopted social technologies in response to their adoption by competitors.

" This article from New Scientist shows how a bit of showmanship can get an innovation rapidly adopted."

Looking to spur wiki adoption? Want to grow from 10 users to 100, or 1000? Applying patterns that help coordinate people's efforts and guide the growth of content, and recognizing anti-patterns that might hinder growth - can give your wiki the greatest chance of success.

Some useful patterns to promote wiki adoption, what to do what not to do. Very people focused rather than technology focused

Jeff Patmore, Head of strategic university research at BT Group talks to Professor Harry Scarbrough before his presentation to WBS Alumni on 19 January 2009. How have 'Web 2.0' tool been adopted in large organisations? What has been the impact on the bottom line and on the employees?

Today, AI is reality, thanks to big data analysis, exa-scale storage, and cloud technologies that complement AI algorithms with highly scalable methods to quickly access and analyze massive data sets. #ai

To fully benefit from new business technology, CIOs need to adapt their traditional IT functions to the opportunities and challenges of emerging technology "ecosystems." Here's how it's done.

Google Search itself provides one of the most familiar examples of predictive intelligence. When you enter keywords in the search box, Google predicts what you are interested in and then presents you with results that match that intent. Since it released the first version of its Prediction API in 2010, Google has made some of these methods available to developers. Adoption among developers has not been high because machine learning requires a lot of infrastructure and validation to produce accurate results. Developers have also reported discomfort with basing products on black box APIs.

Ensuring that big data creates big value calls for a reskilling effort that is at least as much about fostering a data-driven mindset and analytical culture as it is about adopting new technology. Companies leading the revolution already have an experiment-focused, numerate, data-literate workforce. Are you ready to join them?

"Serena Software Adopts Facebook as Corporate Intranet"

The inspiration for this first event on Serious Games comes from Jane McGonigal's TED talk on Serious Games, and David Helgason's declaration of the 'Year of Gamification'. The event will examine how games and games technologies are being brought into 'serious' areas, as well as how serious tasks are being made more game-like. There are three ways that games can be adopted by other sectors: * by generating positive side effects from gameplay; * by creating technology that can be reused; * and by increasing engagement with a problem or activity. Mary Matthews from Blitz Games Studios and Alex Fleetwood from Hide and Seek, will discuss future opportunities and the event will be chaired by Stian Westlake, Director of Policy & Research Unit, NESTA.

In 2009, the Center for Marketing Research at the University of Massachusetts Dartmouth released one of the first studies of the Fortune 500's adoption and usage of one of the best-known forms of social media - blogging. This new study revisits and refreshes that prior in-depth study and expands to look at the Fortune 500's usage of the most dramatically growing new social media site - the microblogging service Twitter.

Berners-Lee urges the adoption of more democratic services, including Facebook alternatives GnuSocial and Diaspora as well as the Status.net project, which gave rise to a decentralized incarnation of Twitter. "As has been the case since the Web began," he says, "continued grassroots innovation may be the best check and balance against any one company or government that tries to undermine universality."

Future Changes is Stewart Mader. He wrote the book on wiki adoption, and he has led or advised enterprise-wide wiki deployments in Fortune 500 companies, universities, nonprofits, small and medium size companies.

Over the past two years, McKinsey has studied more than 50 early adopters to garner insights into successful efforts to use Web 2.0 as a way of unlocking participation.

Great guidelines to implementing a enterprise wiki, including behaviours for adoption, roles, approach, etc

"From checking leases at the Land Registry to sorting through millions of documents for disclosure during litigation, artificial intelligence or AI is speeding up some of the most repetitive legal tasks."

After decades of extravagant promises and frustrating disappointments, artificial intelligence (AI) is finally starting to deliver real-life benefits to early-adopting companies.