Five things I’ve seen, read, or thought might seed results:
1. Social-Media Frenzy — CFO
When CFOs talk social media results that matter for top line growth, you know the message is clear. This looks at some of the tangible results from big companies that CFOs can really wrap their spreadsheets around.
2. Larry Page’s Google 3.0 — Bloomberg Businessweek
The cover story about Google’s rapid growth, rapid acquisition, stiff competition, public failures, the flight of talent, vertical integration. Just a few challenges to the great Internet-age company. An in-depth look at the strategic challenges, the strategic dialogues, the executive changes, and the direction Google needs to take their herd of talented, mavericks on.
A look at the graph to the right gives a simple view of the topography.
3. Running Learning Like a Business — Chief Learning Officer Magazine
Corporate learning is a $200 billion dollar business. To make learning a strategic, valued business partner and maximize the return on learning investment, what if you ran learning like a $200 billion a year business?
Do you rank your learning programs from level 0 through level 6?
Here are 6 steps to run learning like a business that supports business, to include a deeper look at levels 0 through 6 learning and their impact.
4. What We Know About Murdoch’s iPad-Only Newspaper, The Daily — The Atlantic
Rupert Murdoch is infatuated with Apple’s tablet device and reportedly invested between $20 million and $30 million of his own fortune into his new project, The Daily.
About 100 journalists, both up-and-coming and established voices, have been poached from various national news organizations.
What does Murdoch’s News Corps have in mind that makes it different from all the other magazine or newspaper iPad apps?
5. The AI Revolution Is On — Wired Magazine
Today’s artificial intelligence (AI) bears little resemblance to its initial conception. Today’s AI doesn’t try to re-create the brain. Instead, it uses machine learning, massive data sets, sophisticated sensors, and clever algorithms to master discrete tasks.
Examples can be found everywhere:
- The Google global machine uses AI to interpret cryptic human queries;
- Credit card companies use AI to track fraud;
- Netflix uses AI to recommend movies to subscribers; and
- the financial system uses AI to handle billions of trades
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