July 19, 2014

Authentic Leadership and Letting Your Strengths ‘Bloom’
When something goes well, you wish you’d done it sooner. We did a pretty good job of integrating [acquisitions]. So, I don’t have a lot of regrets about that call. It’s interesting that the first acquisition Medtronic [made was] eventually spun off. It was interesting because it was not a fantastic [deal], but it opened the door to a lot of other things and put us in the game and gave us self-confidence. So, I don’t even regret doing that [one]. We were in chains and we had to bust loose from those chains. So I don’t have a lot of second thoughts about those deals.


Net Threats: Internet Openness in Danger
War ignited this year over Net Neutrality, with government officials, lawmakers, Internet service providers, entertainment providers, and even comedians joining the fray. The conflict stems primarily from the explosion of American data consumption – and who should pay for it. Internet service providers maintain that entertainment providers like Netflix and Google should pay for the rise in Internet traffic, while content providers argue that those costs would undermine the freeness and fairness of the Internet for smaller companies and organizations.


HP Throws Trafodion Hat into OLTP Hadoop Ring
Trafodion fills a gap in Hadoop when it comes to ANSI-compliant and ACID-supporting transactional databases, says Rohit Jain, a distinguished engineer at HP who’s the chief technologist for Seaquest and Trafodion. “We took our transactional heritage and experience and IP [intellectual property] and brought it down to HBase, because HBase doesn’t have the transactional support,” Jain tells Datanami. “It has ACID support only at the row level. We bring full-blown ACID for cross-row, cross-table, cross statement-type transactions. Essentially this is a little niche that has not been filled yet by anybody. We’re effectively saying you can use Hadoop for all workloads, all the way from OLTP to analytics.”


Math can make the Internet 5-10 times faster
The advantage is that errors along the way do not require that a packet be sent again. Instead, the upstream and downstream data are used to reconstruct what is missing using a mathematical equation. "With the old systems you would send packet 1, packet 2, packet 3 and so on. We replace that with a mathematical equation. We don't send packets. We send a mathematical equation. You can compare it with cars on the road. Now we can do without red lights. We can send cars into the intersection from all directions without their having to stop for each other. This means that traffic flows much faster," explains Frank Fitzek.


From Big Data to Deep Data
The real problem of big data is that we are increasingly outsourcing our capacity to sense and think to algorithms programmed into machines. While this seems very convenient and cool at first and offers access to services that many of us want, it also raises a question about who actually owns big data, about the rights of individuals and citizens to own their personal data and to exercise choices regarding its use. While big data has certainly opened up a whole new range of possibilities, I would like to suggest a distinction between surface big data and deep data. Surface data is just data about others: what others do and say. That is what almost all current big data is composed of.


Streams Library Brings Lazy Evaluation and Functional-style to C++14
Streams is a C++14 library that provides lazy evaluation and functional-style transformations on the data, to ease the use of C++ standard library containers and algorithms. Streams support many common functional operations such as map, filter, and reduce. Streams are an abstraction on a set of data that has a specific order. Various operations can be applied to streams such that data passes through the stream pipeline in a lazy manner, only getting passed to the next operation when it is requested


The Tech Startup Scene in Cape Town
“A lot of the developed countries round the world are looking to produce solutions for the developing world,” says Edelstein. “I think in South Africa there are two types of entrepreneurs. [Those] who are looking to create applications or platforms that are applicable to the whole world. [And those] who are looking to provide solutions for South Africa or Africa.” “The people who were early into the internet industry were more concerned about building a business. Because they were doing it in South Africa they couldn’t compete with Silicon Valley.


New Health Data Deluges Require Secure Information Flow Enablement Via Standards,
We, like others, put a great deal of effort into describing the problems, but figuring out how to bring IT technologies to bear on business problems, how to encourage different parts of organizations to speak to one another and across organizations to speak the same language, and to operate using common standards and language. That’s really what we’re all about. And it is, in a large sense, part of the process of helping to bring healthcare into the 21st Century. A number of industries are a couple of decades ahead of healthcare in the way they use large datasets — big data, some people refer to it as.


Zaana Howard on Design Thinking at Lean UX 14
Design Thinking is really kind of abstract and useless term in many ways that just causes more confusion than clarity to people overall and Design Thinking is really, I think it’s more the mindset that you bring to design more than it is an actual process or method in itself. Design Thinking often just follows design process, if you use the UK Design council double diamonds sort of method it’s just discover, define, design, deliver, develop, deliver, something like that, and then it’s really just about the mindset that you bring to each of those stages that allows you to do Design Thinking and such.


The robots are coming: The big question is will you hand over your job - or your life?
"Unmanned systems are increasingly likely to replace people in the workplace, carrying out tasks with increased effectiveness and efficiency, while reducing risk to humans. This could ultimately lead to mass unemployment and social unrest," it warns, perhaps invoking the shade of Rick Deckard by noting "There will almost certainly be challenges to overcome, such as establishing whether we can learn to 'trust' robots." It said improvements in robotics have "obvious applications" for military usage, noting that unmanned naval vessels such as reconnaissance submarines to probe a hostile shore could be as standard a part of the military set up as drones in the air.



Quote for the day:

"For an organization to be exceptional, all teams within the organization must be moving toward a shared vision." -- @Rich McCourt