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IT Leader or IT Manager? How to Be the Best of Both

IT Leader or IT Manager? How to Be the Best of Both | Management - Innovation -Technology and beyond | Scoop.it
The best leaders aren't necessarily great managers and great managers aren't always the best leaders. A company needs both types of personalities to be competitive. Here's a look at the separate skills and traits associated with each, so you can be the best leader and/or manager for your IT team.
Fouad Bendris's insight:

Managing people is a necessary skill to succeed in IT, but it works best on things we already know how to do well. Management is about structure, performing the day-to-day functions that keep the company moving in the right direction !

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Management - Innovation -Technology and beyond
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Baba Shiv: Failure is the Mother of Innovation

Baba Shiv: Failure is the Mother of Innovation | Management - Innovation -Technology and beyond | Scoop.it

Startups may embrace the “fail-fast” mantra, but many leaders are risk-averse. And the only way to discover that is to try and fail and try again ! 

Organizations also tend to reward big breakthrough successes rather than smaller ones, but those game-changing innovations generally happen after, or in tandem with, the incremental ones. Shiv uses the example of Toyota, a company that encourages experimentation across its organization. “Most of those experiments result in incremental changes like improvements in production and manufacturing,” he says. “At the same time, however, the company invested in hybrid technology.”

One thing all companies can and should do is encourage a culture of innovation at all levels, the way Google has. “Small teams within Google run 3,000 to 5,000 experiments a year,” says Shiv. “A manager there might say, ‘We should use this course of action,’ and a new hire might say, ‘I think this way of doing it will be better.’ That manager’s first reaction isn’t resistance, it’s ‘OK, let’s test it.’ That’s the great thing about Google. There are no egos when it comes to opinions,” he says.

Fouad Bendris's insight:
Startups may embrace the “fail-fast” mantra, but many leaders are risk-averse. Invention has another mother: failure. It may seem counterintuitive, but repeated failures can, and often do, lead to success. Every time we try something new and fail, it provides valuable information about what went wrong and, as important, what went right. From that, we can make small changes and try again, continually learning and innovating. “If you’re trying to solve a problem there are potentially hundreds of possible pathways to take, but only a few are going to lead to the appropriate solution ! 
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The New Economic Benefits of Older Workers

The New Economic Benefits of Older Workers | Management - Innovation -Technology and beyond | Scoop.it

Many countries with aging populations are also experiencing growth in their gross domestic product. Could Your Workforce Benefit From Robotic Technologies? What should business leaders glean from these trends when it comes to business planning? The study results should offer additional incentives for investments in robotic technologies, short term, and also may provide broad insights into the dynamics of today’s global workforce demographics. Of course, each enterprise needs to examine its own unique labor and productivity needs, especially where international operations exist. In addition, the impact of technology on growth and labor are unfolding daily with every new app and innovation. While the nature of new technology has important implications for economic growth and the labor-market fortunes of workers, there is still great need for empirical evidence on the impact of automation and robotics on employment. ABOUT THE AUTHORS


Fouad Bendris's insight:
Demographics are shifting: The number of people globally age 65 and older will soon eclipse the number who are five years old and younger, according to recent U.S. Census Bureau data. This shift is being met with economic anxiety in many quarters, with theories that an aging population is a threat to economic prosperity. Some argue that an older workforce will be less productive, lacking the dynamic skills of younger workers. Others speculate that an older population will create an excess of savings over investment, leading to slow growth and secular stagnation. Others say that a wave of retirees is likely to take important skills out of the marketplace ! 
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How Are You Perceived at Work? Here’s an Exercise to Find Out

How Are You Perceived at Work? Here’s an Exercise to Find Out | Management - Innovation -Technology and beyond | Scoop.it

It only takes a couple well-worded questions to a few key people to get the information you need. (If you’ve ever conducted a 360 evaluation, you’ve seen how quickly impressions start repeating.) While this exercise won’t take a lot of time, it may be psychically intensive. So keep in mind that there’s never a comfortable time to do this and assume now is the exact right time.


- Select five people:  Choose colleagues who see you repeatedly in relevant work situations: bosses, executives, direct reports, peers, or even former colleagues. Influential co-workers who have their ears to the ground make great sources

- Ask for a face-to-face meeting. Be clear that you’ll keep whatever the person tells you confidential, which will encourage honesty, and that you’ll be collecting feedback from several people to find themes, which lessens the burden for any one individual


- Ask two questions. In the meeting, ask these two simple questions designed to tap into the collective wisdom: What’s the general perception of me? What could I do differently that would have the greatest impact on my success?

Fouad Bendris's insight:
It’s not easy to understand how other people perceive us. We are often uncertain, confused, or even completely unaware of what we project. And this lack of self-awareness can be career-limiting. Consider a former client of mine who was angling for the C-suite but had received feedback that his colleagues considered him negative and difficult. He was stunned; he thought of himself as analytical and thorough and assumed everyone understood that he pushed back in order to get to the best answer. He was also unaware that he had a habit of grimacing while processing information, which looked to others like annoyance !
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All the buzz at AI’s big shindig

All the buzz at AI’s big shindig | Management - Innovation -Technology and beyond | Scoop.it

“CORPORATE conferences still suck.” So read the T-shirt sported by Ben Recht, a professor at the University of California, Berkeley, as he collected an award at the Neural Information Processing Systems (NIPS) conference this week.

Yes, no and now, maybe Mr Smiroldo does put his finger on one of the main trends at this year’s NIPS: the merging of Bayesian statistics with deep learning. Instead of algorithms presenting deterministic “yes” or “no” results to queries, new systems are able to offer up more probabilistic inferences about the world. This is particularly useful for Mercedes-Benz, which needs driverless cars that can handle tricky situations. Instead of an algorithm simply determining if an object in the road is a pedestrian or a plastic bag, a system using Bayesian learning offers a more nuanced view that will allow AI systems to handle uncertainty better.


Fouad Bendris's insight:
NIPS began in 1987 as a humble little conference on an obscure branch of machine learning called neural networks.
Then, at the 2003 conference, Geoffrey Hinton, a British polymath, and a cabal of AI researchers founded the Neural Computation & Adaptive Perception (NCAP) working group. As a proponent of neural networks, Dr Hinton and the group helped accelerate the pace of research into a form of machine learning known as deep learning, leading to huge advances in image recognition in 2012. Deep learning, which stacks many neural networks on top of one another to learn the features of giant databases, now powers the image-processing operations of firms like Facebook and Google. 
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Break Your Worst Habit with Four Scientifically Proven Steps ! 

Break Your Worst Habit with Four Scientifically Proven Steps !  | Management - Innovation -Technology and beyond | Scoop.it
The answer begins with recognizing that change at any level requires at least some dose of refreshing and resetting the brain. The good news is that neuroscience now confirms that you can effectively and sustainably do just that with a few proven steps that center on thinking, because when you change the way you think, you actually (chemically) change the connections in your brain. Pointing the way is a successful non-drug behavior therapy developed by neuropsychiatrist Jeffrey Schwartz working with the UCLA School of Medicine for patients suffering from obsessive compulsive disorder (OCD), which is perhaps the most locked up form of behavior. The method centers on a mindful thinking approach and entails four basic steps that result in a reset brain and changed behavior.
1. Relabel
2. Reattribute
3. Refocus
4. Revalue
Fouad Bendris's insight:
Making difficult changes is easier when you follow four simple steps Change is something everyone grapples with — whether it’s kicking a bad habit, coming up with new and original ideas, shifting a business focus, changing behaviors, changing company culture, or trying to change the world. Certainly the ability to create or manage change is a key issue for every business, because if you can’t get out in front of it, and even lead it, it may not be long before you’re at the back of the pack.
The question, of course, is how?
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What Makes a Genius? The World's Greatest Minds Have One Thing in Common ...

What Makes a Genius? The World's Greatest Minds Have One Thing in Common ... | Management - Innovation -Technology and beyond | Scoop.it

Walter Isaacson writes about geniuses and how the greatest thinkers broke with tradition and solved problems none of us could see.

nd like Einstein, da Vinci had a problem with authority. He often seemed defensive about being an “unlettered man,” as he dubbed himself with some irony, but had little patience for the “foolish folk” who thought less of him. “They strut about puffed up and pompous, decked out and adorned not with their own labors, but by those of others,” he wrote in one of his notebooks. Like Einstein, da Vinci’s most inspiring trait was his curiosity. The thousands of pages of his notebooks that survive sparkle with questions he listed to pursue. He wanted to know what caused people to yawn, how they walked on ice in Flanders, methods for squaring a circle, what makes the aortic valve close, how light was processed in the eye and what that meant for the perspective in a painting.....


Fouad Bendris's insight:
Being a genius is different than merely being supersmart. Smart people are a dime a dozen, and many of them don’t amount to much. What matters is creativity, the ability to apply imagination to almost any situation.Studying such people led me to Leonardo da Vinci, who I believe is history’s greatest creative genius. Again, that doesn’t mean he was the smartest person. He did not have the superhuman theoretical brainpower of a Newton or an Einstein, or the math skills of his friend Luca Pacioli.
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Trends in electric-vehicle design !

Trends in electric-vehicle design ! | Management - Innovation -Technology and beyond | Scoop.it

With EVs becoming mass-market products, it is time for a detailed understanding of technology trends. In collaboration with A2Mac1, a provider of automotive benchmarking services, we conducted a large-scale benchmarking of first- and second-generation EV models, which included physically disassembling ten EV models: the 2011 Nissan LEAF, the 2013 Volkswagen e-up!, the 2013 Tesla Model S 60, the 2014 Chevrolet Spark, the 2014 BMW i3, the 2015 Volkswagen e-Golf, the 2015 BYD e6, the 2017 Nissan LEAF, the 2017 Chevrolet Bolt, and the 2017 Opel Ampera-e. Together, these models account for about 40 percent of all pure-battery EVs ever produced. In addition to the ten torn-down vehicles, we analyzed publicly available information on additional vehicles and consulted independent subject-matter experts. The resulting analysis shows that successfully producing EVs requires radically different thinking.

Fouad Bendris's insight:
What did we learn from a teardown and benchmarking of ten EV models? Regulatory pressures on internal combustion engines (ICEs), combined with technological improvements in electric powertrains and batteries, are driving a surge of demand for electric vehicles (EVs). Most incumbent car manufacturers are rolling out models, joined by new entrants without ICE legacies. Worldwide sales of pure battery EVs (excluding hybrids) grew by approximately 45 percent in 2016.
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Wellness at work: The promise and pitfalls 

Wellness at work: The promise and pitfalls  | Management - Innovation -Technology and beyond | Scoop.it

Health-club membership to move the needle on employee well-being. Members of the Consortium for Advancing Adult Learning & Development (CAALD), a group of learning authorities whose members include researchers, corporate and not-for-profit leaders, and McKinsey experts, recently debated these issues at its second annual meeting, in Boston. Their discussion suggests that wellness and work remain uneasy bedfellows, but our understanding of what it takes to make progress has grown, and so should the willingness of leaders to invest in their people at a time when the emerging workplace is confronting them with stress-inducing change !

Fouad Bendris's insight:
It takes more than a discounted health-club membership to move the needle on employee well-being.
Employers are in a unique position to be a good influence on health and general well-being. After all, working people spend more of their waking time on the job than anywhere else. Stay current on your favorite topics SUBSCRIBE But what does it take to improve employee wellness? Is it, in fact, the business of business to do so? And can (or should) we measure the return?
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10 Principles of Customer Strategy ! 

10 Principles of Customer Strategy !  | Management - Innovation -Technology and beyond | Scoop.it
1. Master the art of the possible. Because technological breakthroughs are now common in nearly every industry, customers expect big changes to be a regular occurrence. The most successful companies continually experiment with innovations that make life better for customers. Customers appreciate companies that can do this effectively, time after time. That doesn’t mean asking your customers what they will find indispensable in the future; they can’t tell you.
2. Know your customers at a granular level. Leading companies are moving beyond traditional quantitative segmenting 
3. Link your company’s customer strategy to its overall identity. Every successful company has a strong value proposition that distinguishes it from rivals.
4. Target customers with whom you have the “right to win.” When your company has a strong identity, you don’t need to compete in every marketplace — only in the categories where you are reasonably confident of succeeding.
5. Treat your customers as assets that will grow in value. Not every company cultivates long-term customer relationships in a constructive way. Leading companies do. They continually create better reasons for their customers to identify with the company and its products and services.
6. Leverage your ecosystem. Your company exists in a broad network of relationships that form an ecosystem. These relationships are not just with customers, but also with suppliers, distributors, retailers, industry associations, institutional partners, and government agencies.
7. Ensure a seamless omnichannel experience. We all know the importance of omnichannel experience — a consistent look and feel in all customer touch points, including brick-and-mortar, face-to-face, online, voice phone, and mobile.
8. Excel at delivery. The physical delivery of products and services is critical to keeping your customers happy. Whether or not you compete directly with Amazon, you are affected by its delivery innovations.
9. Reorganize around the customer. Your organization should be “fit for your customer”: that is to say, it should be designed to make it easy to deliver a great customer experience.
10. Match your culture with your customer strategy. A relevant culture is a bigger advantage than ever for customer-facing companies. In our survey and interviews, a majority of executives said that the biggest barriers to a successful customer strategy were finding the right talent and developing the right organizational culture.



Fouad Bendris's insight:
It’s no longer enough to target your chosen customers. To stay ahead, you need to create distinctive value and experiences for them.In developing a successful customer strategy, you must provide answers to questions such as these: Who are our customers? Which of their needs can we address? Given our company’s overall value proposition and strategy, what customer experience should we create? What capabilities do we need in order to deliver that experience? How should we organize ourselves accordingly, and what aspects of our culture can help us?
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The latest AI can work things out without being taught

The latest AI can work things out without being taught | Management - Innovation -Technology and beyond | Scoop.it

IN 2016 Lee Sedol, one of the world’s best players of Go, lost a match in Seoul to a computer program called AlphaGo by four games to one. It was a big event, both in the history of Go and in the history of artificial intelligence (AI). Supervised learning is useful for much more than Go. It is the basic idea behind many of the recent advances in AI, helping computers learn to do things such as identify faces in pictures, recognise human speech reliably, filter spam from e-mail efficiently and more. There is, of course, more to life than Go. Algorithms such as the ones that power the various iterations of AlphaGo might, its creators hope, be applied to other tasks that are conceptually similar. (DeepMind has already used those that underlie the original AlphaGo to help Google slash the power consumption of its data centres.) But an algorithm that can learn without guidance from people means that machines can be let loose on problems that people do not understand how to solve.

Fouad Bendris's insight:
For AI researchers, Go is equally exalted. Chess fell to the machines in 1997, when Garry Kasparov lost a match to Deep Blue, an IBM computer. But until Mr Lee’s defeat, Go’s complexity had made it resistant to the march of machinery. AlphaGo’s victory was an eye-catching demonstration of the power of a type of AI called machine learning, which aims to get computers to teach complicated tasks to themselves.
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Chaotics Management within IT world ! 

Chaotics Management within IT world !  | Management - Innovation -Technology and beyond | Scoop.it
... Kind of Disruptive leadership without Turbulence ;() 
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Chaotics Management within IT world !
... Kind of Disruptive leadership without Turbulence ;()
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La ville à l’épreuve de la voiture autonome !

La ville à l’épreuve de la voiture autonome ! | Management - Innovation -Technology and beyond | Scoop.it
Au Technopôle de Rouen, le partenariat entre Renault, Transdev, la métropole de Rouen et la région Normandie, d’un montant de près de 10 millions d’euros pour trois ans, permettra à quatre Zoe d’effectuer trois boucles totalisant 10 kilomètres. Après la période de test, le public pourra, à partir du printemps 2018, appeler un véhicule en temps réel par l’intermédiaire de son smartphone, depuis l’un des dix-sept points d’arrêt. Elle témoigne des progrès rapides de la voiture autonome en circulation réelle. Constructeurs automobiles et géants de la technologie comme Google et Uber sont lancés dans une course de vitesse pour relever le défi de la conduite par un robot dans un milieu urbain souvent chaotique. Et les villes, de plus en plus persuadées que les véhicules autonomes vont débouler dans leurs rues bien plus tôt que prévu, cherchent à anticiper les bouleversements à venir ... 
Fouad Bendris's insight:
Les véhicules sans chauffeur arrivant plus tôt que prévu, les élus cherchent à anticiper les bouleversements en préparant la cohabitation avec les voitures classiques.
Des Renault Zoe électriques sans chauffeur roulant au milieu des véhicules ordinaires, enchaînant passages piétons et ronds-points, pour un service public de mobilité à la demande… L’expérimentation, la première du genre en Europe, devait être officiellement lancée à Rouen lundi 2 octobre. 
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Clever Machines Learn How to Be Curious (And Play Super Mario Bros.)

Clever Machines Learn How to Be Curious (And Play Super Mario Bros.) | Management - Innovation -Technology and beyond | Scoop.it
But this carrot-and-stick approach to machine learning has its limits, and artificial intelligence researchers are starting to view intrinsic motivation as an important component of software agents that can learn efficiently and flexibly—that is, less like brittle machines and more like humans and animals. Approaches to using intrinsic motivation in AI have taken inspiration from psychology and neurobiology—not to mention decades-old AI research itself, now newly relevant. (“Nothing is really new in machine learning,” said Rein Houthooft, a research scientist at OpenAI, an independent artificial intelligence research organization.)
Fouad Bendris's insight:
Computer scientists are finding ways to code curiosity into intelligent machines. Humans also respond to extrinsic motivations, which originate in the environment. Examples of these include everything from the salary you receive at work to a demand delivered at gunpoint. Computer scientists apply a similar approach called reinforcement learning to train their algorithms: The software gets “points” when it performs a desired task, while penalties follow unwanted behavior.
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3 Simple Steps to Silencing Your Inner Critic !

3 Simple Steps to Silencing Your Inner Critic ! | Management - Innovation -Technology and beyond | Scoop.it
n the context of thinking and solving business problems, the challenge is that our perception of threat and response to stress becomes so ingrained and so reflexive, so mindless, that our avoidance tactics automatically prevent new experiences which may have some truly rewarding payoffs. When we’re self-critical, we self-censor, and don’t even give these experiences a chance.
Finally, you will notice that you have not only injected a new and better perspective, but you have reduced your stress, deferred self-judgment, and thus and opened yourself up to a new and potentially rewarding experience. As Einstein once wrote, “Genius is not that you are smarter than everyone else. It is that you are ready to receive the inspiration.” While we may never eliminate our inner critic — and we would never want to — we can certainly learn to silence it when it goes so far as to stifle our creativity.
Fouad Bendris's insight:
Neuroscience explains it, but psychology offers the fix !
During a recent creative strategy session, I witnessed what psychologist Carl Jung referred to over a century ago as “an inner critic or judge who immediately comments on everything.” I had given a team of young executives a thought challenge as a right-brain warmup exercise. Although they were unsuccessful in landing on the elegant solution within the time allotted, one individual pulled me aside during the session break to tell me, rather sheepishly, that the solution had immediately popped into her head, but she hadn’t raised it with the group.
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The Most-read WIRED Business Stories of 2017

The Most-read WIRED Business Stories of 2017 | Management - Innovation -Technology and beyond | Scoop.it

The future of jobs weighed heavy on everyone's minds.

People seem to be equally concerned with how social media is retraining human brains and upending social norms. They're curious to know how artificial intelligence will evolve. And they're fascinated by what Big Data means for society at large. It's been a tectonic year for the business of tech, and that is certainly reflected below in our list of WIRED's 17 most-read business stories of the year ... 

Fouad Bendris's insight:
LOOKING BACK AT the year's most-read WIRED business stories, one theme clearly emerges: people are very concerned with the future of work. Will the robot revolution will eradicate positions? (It's more complicated than that.) What are the right skills for future-proofing ourselves? (Learn code.) Could implementing a universal basic income really work? 
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It’s Mesos’ SMACK Stack versus Kubernetes’ Smart Clusters for Hosting Spark - The New Stack

It’s Mesos’ SMACK Stack versus Kubernetes’ Smart Clusters for Hosting Spark - The New Stack | Management - Innovation -Technology and beyond | Scoop.it
Would this goal require Kubernetes to run any special configuration? No, says Pepperdata’s Sucher. “Part of the beauty — and this is impressive about Kubernetes — that we encountered when we implemented native Spark support on Kubernetes, was that the primitives Kubernetes gave us were rich enough to allow these big data, highly parallel, highly resource-aggressive applications to co-exist with other services that were not big data, and were not aware of these Spark containers or their semantics at all — on the same cluster, without modifying Kubernetes or those other applications.” Has Pepperdata accounted for the growing popularity of co-processing hardware, such as FPGA accelerators and general-purpose GPUs (GPGPU), which utilize parallelization uniquely? Suchter could not respond with respect to Kubernetes on Spark. But with respect to his company’s existing release editions of its database optimizers for YARN, they already monitor how parallel data jobs run on various hardware configurations, including with accelerators. 
Fouad Bendris's insight:
It seemed like a very convincing argument made by more than one proponent during the last MesosCon 2017 conference in Los Angeles: Apache Mesos, they said, was better suited to running the Apache Spark streaming data engine at large scale, than any other orchestrator. Some said Mesos was better suited to delivering a framework capable of running Spark’s parallel tasks. But nearly without deviation, they said that Mesos’ capability to manage workloads across multiple infrastructure profiles gave it the edge.
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The Impenetrable Program Transforming How Courts Treat DNA Evidence !

The Impenetrable Program Transforming How Courts Treat DNA Evidence ! | Management - Innovation -Technology and beyond | Scoop.it

A legal battle is trying to expose the inner workings of TrueAllele, game-changing software that attempts to identify criminals based on subtle traces of DNA.

In this climate, DNA evidence has been a modern miracle. DNA remains the gold standard for solving crimes, bolstered by academics, verified scientific studies, and experts around the world. Since the advent of DNA testing, nearly 200 people have been exonerated using newly tested evidence; in some places, courts will only consider exonerations with DNA evidence. Juries, too, have become more trusting of DNA, a response known popularly as the “CSI Effect.” A number of studies suggest that the presence of DNA evidence increases the likelihood of conviction or a plea agreement.


Fouad Bendris's insight:
As technology progresses forward, the law lags behind. As John Oliver commented last month, law enforcement and lawyers rarely understand the science behind detective work. Over the years, various types of “junk science” have been discredited. Arson burn patterns, bite marks, hair analysis, and even fingerprints have all been found to be more inaccurate than previously thought. A September 2016 report by President Obama’s Council of Advisors on Science and Technology found that many of the common techniques law enforcement historically rely on lack common standards.
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How to Tell If a Company’s Culture Is Right for You ?

How to Tell If a Company’s Culture Is Right for You ? | Management - Innovation -Technology and beyond | Scoop.it
Congratulations, you got the job! Now you have to decide whether to take it. You’ve done your research and know the ins and outs of the company’s public profile, but how can you assess cultural fit — and if you’d actually be happy working there? Should you reach out to former employees? Or ask to spend a day at the office?
- Interview your prospective colleagues Presumably you already researched the company during your candidacy, but now that the clock is ticking on a decision, you need to focus your efforts
- Do a test run It’s worth asking if you can come in and spend a few hours with your prospective team for a group meeting or brainstorming session
- Get to know your boss Your job satisfaction can hinge on your relationship with your boss. Particularly at startups or small, private, family-owned companies, employees who don’t get along with their managers are “as good as dead,”
- Interview outside sources In addition to speaking with current employees and your potential boss, you need to do some “behind-the-scenes” research by speaking with “people with recent, objective, and unbiased knowledge of the organization and its culture,”
- Think beyond the initial offer It’s also important to consider opportunities at the organization beyond the contract on the table, Talk to the hiring manager about potential paths. “
- Be introspective Once you have all the information, it’s time to do some soul-searching. 

Fouad Bendris's insight:
What to consider before you take a new job ! 
During the interview process, you had a singular goal: to get an offer. Now that you have one, you need to assess whether the job and organization are a good fit. It isn’t necessarily a straightforward task,  After all, you’ve probably been in your potential new office only a handful of times and met potential colleagues when everyone was on their best behavior. “Interviews end up being a conversation between two liars,”. Your goal is “to decode the organization and find out where the bodies are buried,” he says. Here are some ways to do that ...
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Building a natural language processing library for Apache Spark

Building a natural language processing library for Apache Spark | Management - Innovation -Technology and beyond | Scoop.it
The core purpose of an NLP library is the ability to take text and then apply a set of annotations on the text. So, the basic annotations we ship in this initial version of Spark NLP include things like a tokenizer, a lemmatizer, sentence boundary detection, and paragraph boundary detection. Then on top of that, we include things like sentiment analysis, spell checker so we can auto-suggest corrections, and a dependency parser so we can not just know that we have a noun and a verb, but also that this verb talks about the specific noun, which is often semantically interesting. We also include named entity recognition algorithms ! 
Fouad Bendris's insight:
The state of NLP in Spark ! Here are your two choices today. Either you want to leverage all of the performance and optimization that Spark gives you, which means you want to stay basically within the JVM, and you want to use a Java-based library. In which case, you have options that include OpenNLP, which is open source, or Stanford NLP, which requires licensing in order to use in a commercial product. These are older and more academically oriented libraries. So, they have limitations in performance and what they do.
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What you need to know about Intel and AMD’s deal to fight Nvidia ! 

What you need to know about Intel and AMD’s deal to fight Nvidia !  | Management - Innovation -Technology and beyond | Scoop.it
AMD’s stock is likely to see a bump on shift in sentiment for the very short term since the stock has been beaten down after earnings. Fortunately, The Arora Report took a short-term trading position in AMD two days ago. No, we did not know the news that is out today. We bought on the potential for changes in bitcoin mining algorithms that may render existing bitcoin mining computers obsolete. If this happens, there is another potential benefit for AMD and Nvidia.
Fouad Bendris's insight:
The real prize for chip makers is artificial intelligence, not PCs, writes Nigam Arora. From looking at the cold, hard numbers, the news is insignificant for Intel, AMD and Nvidia shares. Please note that the future of those companies, and stocks, lies in artificial intelligence. Today’s deal appears to be simply for an old-fashioned computer chip for laptops. The chip will combine an Intel processor and AMD graphics processing unit. There is nothing revolutionary here. This may result in a lighter and less expensive laptop that runs cooler. This may dent the sales of Nvidia graphics chips used in laptops for gamers. However, Nvidia’s stock is not primarily driven by sales of graphics chips for gamers; it is driven by the prospects of artificial intelligence.
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Linux Foundation creates a framework for sharing open data !

Linux Foundation creates a framework for sharing open data ! | Management - Innovation -Technology and beyond | Scoop.it
Although proprietary data sets owned by the likes of Google Inc., Facebook Inc. and other large internet and cloud companies gives them a large advantage in new #analytics and artificial intelligence application, open data sets could start to level the playing field. Thanks to open-source technologies such as Apache Hadoop and Apache Spark, unstructured data can easily be crunched to provide useful information for businesses and other organizations in a matter of seconds. But providing access to data isn’t so easy, because there is no framework in place to govern its distribution and use. This is where CDLA licenses come in, providing that framework for governments, academic institutions and others to open and share data with ease. 

Fouad Bendris's insight:
The Linux Foundation wants to open up the use of data in much the same way it has helped make open-source software a technology force to be reckoned with. Announced at the Open Source Summit in Prague Monday -  the new Community Data License Agreement is designed to cover the use of nonproprietary data ... 
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To Survive the Streets, Self-Driving Cars Have to Start Thinking Like Humans

To Survive the Streets, Self-Driving Cars Have to Start Thinking Like Humans | Management - Innovation -Technology and beyond | Scoop.it

Cracking the "freezing robot" problem requires machine learning and a human-like understanding of how the world works.

There are practical limits to what the computers can do, though. “This is no Minority Report,” —no one’s telling the future. “Uncertainty in future pedestrian or cyclist position rapidly increases with the prediction horizon, how many seconds in the future we’re trying to model. Basic behavior models already stop being useful after one second. More sophisticated behavior models might give us up to two seconds of predictability.”

Fouad Bendris's insight:
NEXT TIME YOU’RE driving down the road or walking down the street, pause to consider how you read your surroundings. How you pay extra attention to the kid kicking a soccer ball around her front lawn and the slightly wobbly, nervous looking cyclist. How you deprioritize the woman striding toward the street, knowing she’s heading for the group of friends waving to her from the sidewalk.
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Google's AutoML Project Teaches AI To Write Learning Software

Google's AutoML Project Teaches AI To Write Learning Software | Management - Innovation -Technology and beyond | Scoop.it
AutoML remains a research project. Somewhat ironically, right now it takes exactly the kind of rare AI expertise this technology seeks to automate to get it working. But a growing number of researchers outside Google are working on this technology, too. If AI-made AI becomes practical, machine learning could spread outside of the tech industry, for example in healthcare and finance, much faster. At Google, AutoML could accelerate Pichai’s “AI first” strategy, through which the company is using machine learning to run more efficiently and create new products.
Fouad Bendris's insight:
Google’s researchers have taught machine-learning software to build machine-learning software, in a project dubbed AutoML.
WHITE-COLLAR AUTOMATION HAS become a common buzzword in debates about the growing power of computers, as software shows potential to take over some work of accountants and lawyers. Artificial-intelligence researchers at Google are trying to automate the tasks of highly paid workers more likely to wear a hoodie than a coat and tie—themselves. In a project called AutoML, Google’s researchers have taught machine-learning software to build machine-learning software. I
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​Jeremy Corbyn wants to tax robots and their greedy overlords !

​Jeremy Corbyn wants to tax robots and their greedy overlords ! | Management - Innovation -Technology and beyond | Scoop.it
Labour Party leader Jeremy Corbyn has warned that more needs to be done to deal with the challenges of robots and automation. In his speech to the Labour Party conference today, he said there was an urgent need for the country to face the challenge of automation and robotics "that could make so much of contemporary work redundant". Bill Gates: 'Robots that take jobs should be taxed just like the people they replace' Bill Gates: 'Robots that take jobs should be taxed just like the people they replace' Microsoft co-founder Bill Gates thinks governments should impose something akin to an income tax on each robot that replaces a human. "That is a threat in the hands of the greedy, but it's a huge opportunity if it's managed in the interests of society as a whole. We won't reap the full rewards of these great technological advances if they're monopolised to pile up profits for a few." Corbyn said that if the rewards of automation were "publicly managed" to share the benefits more broadly this could provide "the gateway for a new settlement between work and leisure. A springboard for expanded creativity and culture".
Fouad Bendris's insight:
Benefits of automation cannot be left to money-grabbing bosses, says Labour leader.
While technology has always destroyed some jobs, it has tended to create more as a result. But some experts and academics warn that the rise of artificial intelligence may be different: first, by automating potentially what were seen to be safe middle class jobs; and second, by doing little to create many more new jobs in its wake.
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Who’s afraid of disruption?

Who’s afraid of disruption? | Management - Innovation -Technology and beyond | Scoop.it

LAST week Schumpeter met two tech tycoons who control businesses in total worth $600bn. In both cases the mayhem around them was what you would expect if Beyoncé hit town, minus the musical talent and looks.

Many industries that you might imagine to be directly in the crosshairs of Silicon Valley are expected to plod along happily. Consider television, where Amazon, Netflix, YouTube and Apple are pouring money into buying and making new shows. There are certainly worries about consumers cutting the cable-TV cord, but the incumbent cable firms and content producers are in aggregate valued on 20 times profits, implying cash flows will continue to rise ... 

Fouad Bendris's insight:
If disruption is defined as conventional firms being clobbered by digital ones, there is certainly some of it about. This month Toys “R” Us went bankrupt, joining many clothing and hardware retailers felled by e-commerce. On August 23rd shares in WPP, an advertising firm, slumped after it said clients were cutting spending partly because of technological change. A few days later Amazon closed its acquisition of Whole Foods, a food retailer, and cut its high prices, spreading fear in the supermarket industry’s aisles.
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