Great blog about leadership, agenda’s, formalitites and skip all that doesn’t matter.
A few weeks ago, I was preparing a customer meeting with a colleague. The goal of the meeting was to present our leadership programs. I didn’t feel the need to prepare a lot. I like to go into meetings without presentations, leaflets or other formal material. For me it’s about connecting personally. I ask open questions and explore the context up to the point that I can connect my own story to it. The formal stuff can wait.
My colleague reasoned vice versa: the client asked information, so she wanted to provide information and prepared a slide deck. I’m no sales specialist or customer relationship expert, so I went a long with her and inserted my own slides. We went into the meeting and it wasn’t very comfortable. I got frustrated because we got stuck in the content of things, and my colleague wasn’t comfortable either because she felt I wanted…
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De ontwikkelingen in de arbeidsmarkt staat op een scharnierpunt. De werkloosheid loopt snel op tot schrikbarende getallen en percentages. 7,5% werkloosheid, 15% onder jongeren en 28,4% onder allochtone jongeren. Aan de andere kant maken werkgevers zich nog steeds zorgen over het toekomstige arbeidspotentieel van ondermeer technisch geschoold personeel. Maar ook de werkdruk binnen veel organisatie is groot. Ik zie dan ook dat er wel veel werk is, maar niet veel banen.
Het werk is versnipperd, verdeeld en daarom blijft het maar even liggen. Of het nu het bijwerken van de website, het starten met social media, het opschonen van het archief, het updaten van de computers of uitwerken van nieuwe ideeën is. Werk dat best wel even kan wachten en op de korte termijn geen omzet, winst of verlies oplevert. Want het uitzetten van het werk kost eerst een investering van een collega. Ondernemers houden dus gewoon de…
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Big data is attracting a lot of venture capital. Of the many startups claiming big data as their business, who has received the most funding so far? CrunchAnalytics (which I wrote about here) provides an answer based on data from CrunchBase, showing us where VCs are placing their biggest bets:
Cloudera (5 rounds) $141 million Apache Hadoop-based software, services and training
MuSigma (1) 133 Data-Science-as-a-Service
Opera Solutions (1) 84 Data-Science-as-a-Service
10gen (6) 73.4 MongoDB (open-source, document database)
Gauvus (3) 70 Big data analytics solutions
ParAccel (3) 64 Analytic platform
Talend (5) 61.6 Application and business process integration platform
GoodData (5) 53.5 Cloud-based platform and big data apps
DataXu (3) 45.8 Digital marketing software
DataStax (4) 38.7 Apache Cassandra-based big data platform
The 40 startups included in the CrunchAnalytics database have raised about $1.2 billion in venture capital. And…
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I think a lot about the future. And although I’m not that old, I’ve already learned that the future, when one gets there, differs from the idea of the future in ways that are unexpected and impossible to predict. I think it’s this ‘certain uncertainty’ that drives us to continually envision possible futures. But these visions, fed by our past experiences and current outlook, often tell us more about our present selves than they do about where we’ll actually end up.
I’ve been reading a lot of superb, thought-provoking visions of the future of work and Human Resources from others recently, and grappling with what they might mean for us as employees, managers and HR professionals. The difference between many of these possible realities is vast, but this shouldn’t surprise us- humanity’s visions of the future are often shaped by the contrasting themes of utopia and dystopia.
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That’s Qualtism (Kwalitisme): the search for the soul in everything that surrounds us in this over and over quantified society.
While on my way back from New York, for some odd reason I started playing around with Foursquare and plotting my check-in data using a handful of apps. Very quickly I realized two things: the amount of time I spend in airplanes has doubled every year since 2009, and when I am in San Francisco, I lead a very predictable life and go to only a handful of places — a lot.
Except for one small thing: While the data shows that I lead a pretty boring life, it doesn’t reflect the “emotions” behind the data. Why, you might ask, is this important? The answer is that as we move towards a quantified society, one shaped by data, we start to dismiss things that aren’t easily quantifiable. Empathy, emotion and storytelling — these are as much a part of the business as they are of life. Without these, we might as well…
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If you’re one to track the Q rating of tech trends, then you know the cloud is so last minute and big data is good for little more than wrapping fish at Whole Foods. For 2013, it’s all about the Internet of Things.
Cisco, a company that stands to make a lot of money by bringing the network to the disconnected objects in our lives, has released a study exploring what the networking giant is re-branding the “Internet of Everything.” On the one hand, its content is comfortably predictable – essentially a wide-eyed promise that the market is going to be really, really big. More interesting though is the accompanying blog entry by CEO John Chambers, who doesn’t just summarize his company’s findings, but actually offers an important shoutout to the Internet of Everything Economy.
My belief is that the Internet of Things (IoT) will succeed or fail…
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There are many solutions for figuring out how to parse large amounts of data, but LucidWorks CTO Grant Ingersoll has a suggestion: use search. At GigaOM’s Structure:Data conference in New York City Thursday, Ingersoll laid out his case for why search is a big part of dealing with databases and indexes.
“Search should be a critical part of your architecture,” he told attendees. It is a system building block for any large problem you’re trying to solve that requires a ranked set of results. And it doesn’t have to be just text search, it can be for any type of search, he said.
Thinking beyond traditional search features, like keyword search, will help businesses solve those problems more easily too. And it lets organizations bring in many differing kinds of data sources and more effectively combine them.
And organizations that keep records of how people are using search to access…
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