MEN ARE FROM EARTH, COMPUTERS ARE FROM VULCAN
The newsletter/column excerpted below was originally published in 1998. Some of the specific references are obviously very dated. But the general points about the requirements for successful natural language computer interfaces still hold true. Less progress has been made in the intervening decade-plus than I would have hoped, but some recent efforts — especially in the area of search-over-business-intelligence — are at least mildly encouraging. Emphasis added.
Natural language computer interfaces were introduced commercially about 15 years ago*. They failed miserably.
*I.e., the early 1980s
For example, Artificial Intelligence Corporation’s Intellect was a natural language DBMS query/reporting/charting tool. It was actually a pretty good product. But it’s infamous among industry insiders as the product for which IBM, in one of its first software licensing deals, got about 1700 trial installations — and less than a 1% sales close rate. Even its successor, Linguistic Technologies’ English Wizard*, doesn’t seem to be attracting many customers, despite consistently good product reviews.
*These days (i.e., in 2009) it’s owned by Progress and called EasyAsk. It still doesn’t seem to be selling well.
Another example was HAL, the natural language command interface to 1-2-3. HAL is the product that first made Bill Gross (subsequently the founder of Knowledge Adventure and idealab!) and his brother Larry famous. However, it achieved no success*, and was quickly dropped from Lotus’ product line.
*I loved the product personally. But I was sadly alone.
In retrospect, it’s obvious why natural language interfaces failed. First of all, they offered little advantage over the forms-and-menus paradigm that dominated enterprise computing in both the online-character-based and client-server-GUI eras. If you couldn’t meet an application need with forms and menus, you couldn’t meet it with natural language either. Read more
| Categories: BI integration, IBM and UIMA, Language recognition, Natural language processing (NLP), Progress and EasyAsk, Search engines, Speech recognition | 3 Comments |
Google Wave — finally a Microsoft killer?
Google held a superbly-received preview of a new technology called Google Wave, which promises to “reinvent communication.” In simplest terms, Google Wave is a software platform that:
- Offers the possibility to improve upon a broad range of communication, collaboration, and/or text-based product categories, such as:
- Search
- Word processing
- Instant messaging
- Microblogging
- Blogging
- Mini-portals (Facebook-style)
- Mini-portals (Sharepoint-style)
- In particular, allows these applications to be both much more integrated and interactive than they now are.
- Will have open developer APIs.
- WIll be open-sourced.
If this all works out, Google Wave could play merry hell with Microsoft Outlook, Microsoft Word, Microsoft Exchange, Microsoft SharePoint, and more.
I suspect it will.
And by the way, there’s a cool “natural language” angle as well. Read more
| Categories: Google, Language recognition, Microblogging, Microsoft, Natural language processing (NLP), Search engines, Social software and online media, Software as a Service (SaaS) | 3 Comments |
TechCrunch offers to pay a source’s legal expenses
A recent TechCrunch post recapitulates its dispute with CBS and Last.fm, reiterates its confidence in its accusations, and closes with
And to the CBS employee who was fired and threatened based on this story – we believe certain U.S. Whistle Blower laws may protect you from retaliation from CBS in this matter. We’d like to provide you with legal counsel at our cost.
That’s a remarkable offer to make, one that is very rare for traditional media to match. As such, it’s a strong (albeit very partial) answer to the ongoing handwringing about the future of investigative journalism. Read more
| Categories: Blogosphere, Online media, Social software and online media | 7 Comments |
Monetization strategies for the New York Times
In his remarks about my recent post that he aptly characterizes as “A Consumer-Centric View of Business Models for Publishing,” Daniel Tunkelang notes that I didn’t directly address the premium/freemium strategy he favors for the New York Times, namely monetizing community. As Daniel puts it,
But community can’t be copied. Even if you mirrored all of this blog’s content and put someone else’s name on it, the comment threads would still live here. You could copy those too, but only the readers who came here could participate in the conversation, and I believe that would still draw most of you.
Frankly, I don’t think that would work. Good blog commenters are precious, generously donating their own time and thought to build up your content. Could one charge people to read that? Maybe. But charging people to write great content for you seems like one barrier too many, and I’m not sure how to charge them to read without also charging them to write. That said, various forums (i.e., message boards) offer premium forums, so at least for some lifestyle business owners the approach seems to be worth pursuing.
Other strategies to consider include: Read more
| Categories: Online media, Social software and online media | 6 Comments |
The 4 reasons anybody ever consumes information (or opinion), and what that tells us about business models
The online world is abuzz with discussion about the future economic models of the publishing industry. It might help in evaluating various proposals to consider why anybody might possibly want to pay money or attention for information or opinion, whether delivered in published or personal-communication form. Since this is a very long post, I’ll put a few of the conclusions here up top, namely:
- “Freemium” models, in which one gives away some good information but charges for the best stuff, can succeed. I do that, in a way. So does ESPN.com. Rupert Murdoch, so far as I can tell, proposes to make WSJ.com more like ESPN.
- Charging by some kind of usage metric doesn’t make sense. This seems to be what the New York Times is thinking about. It may also be what Murdoch is suggesting for some of his other properties.
- Grand cosmic all-you-can-consume-of-all-but-the-most-highly-valuable-information subscriptions — e.g., an “ASCAP for news” — could be marketable. And I don’t even think they’d require the antitrust exemptions the newspaper industry is whining for.
Those conclusions, in turn, are based on the theory that the the best selling proposition for decision-supporting information and information technologies is:
Keeps you fully and conveniently informed about subject area X, where X is important to you. Read more
| Categories: Online media, Social software and online media | 3 Comments |
Consumer Reports + National Enquirer + ? = the future of free societies
Another week, another round of debate about the future of journalism. As usual, I’m too overwhelmed with my own duties of news reporting, commentary, consulting, and small business administrivia — not to mention basketball-watching and kitchen repair — to chime in at the length I’d like. But even given those limitations, I’d like to reiterate something I said in a prior post about the evolving information ecosystem:
a significant fraction of news is something large organizations have a vested interest in releasing
In my opinion, that’s a crucial point. On subjects where primary sources want information to get out, traditional journalists are not needed to relay news. Comment (especially sceptically)? Sure. Filter? Maybe. Story-tell? Yes, but only if news-as-entertainment is your idea of fun.
Basically, the “death of media” concerns should for the most part be restricted to the future of investigative features. When one thinks of major investigative reporting that society would have been poorer without, it’s usually either a feature story or a series of articles that might as well have been a feature. The reason those are threatened is that their huge value to society is not always paired with a huge “fun”/”interest” factor in consuming the stories, and hence traditional attention-based economic models may not work for them. Read more
| Categories: Social software and online media | 4 Comments |
