Skip to main content

Home/ Cloud Productivity Platform Wars/ Group items tagged new-economy

Rss Feed Group items tagged

Gary Edwards

What Platforms Do Differently than Traditional Businesses - 0 views

  •  
    "One of the oldest business models in the world is using new technology to trample traditional businesses, drive innovation, and create new and immense sources of value. Matchmakers, the subject of our new book, make it easy for two or more groups of customers, like drivers and riders in the case of Uber, to get together and do business. They operate platforms that make it easy and efficient for participants to connect and exchange value. Unlike traditional businesses, they don't buy inputs, make stuff, and sell it. Instead, they recruit participants, and then sell each group of participants access to the other group of participants. The "participants" are the "inputs" that they use to produce the intermediation service they provide. Today, we're living in the matchmaker economy. It is a bigger and more pervasive part of our lives than many imagine. Three of the five most highly valued companies in the world - Apple, Google, and Microsoft - make much of their profits from connecting different groups, like developers and users in the case of Apple. So do seven of the most valuable unicorns - startups worth more than $1 billion in their latest funding round - such as Uber, Airbnb, and Flipkart. And then many other companies that have IPO'd in the last decade, like Visa, which connects cardholders and merchants, and Facebook, which connects friends, advertisers, and developers. And it's not just these humongous companies. Westfield Malls operates shopping malls that help retailers and shoppers to get together. Then there are all the ad-supported media that troll for eyeballs so they can sell them to marketers. In fact, if you think about, as a consumer and a worker, you probably use multiple matchmakers throughout your day, from the operating system on your phone, to an exchange for trading stock, to a dating app for finding a mate. The firms that make up the gig economy and the sharing economy - the new darlings - are matchmakers t
Gary Edwards

The PDF file format: A work in progress - SD Times - 0 views

  •  
    "With almost every sector of the economy facing a digital transformation, businesses must find new ways to get their information and data online. No longer does it make sense to have documents stored on paper. To keep up with the ever-changing times, more and more businesses are turning to the Portable Document Format (PDF). "Due to proliferation of new platforms, devices, and technologies, providing a quality PDF solution is more challenging than ever before," said Catherine Andersz, director of PDFTron. "So far the PDF format stood the test of time, but it's facing challenges due to fragmentation and poor implementations of the standard as well as relevance in the new world of small devices." The biggest benefits to moving to PDFs are that businesses can guarantee their documents will be accessible, viewable, and printable by everyone at any time, according to Gerald Holmann, founder and president of Qoppa Software. Today, PDF viewers are available across browsers, operating systems and applications, making it ubiquitous, according to Matt Kuznicki, CTO of Datalogics. However, as more users take interest in the technology, there will be a wider range of industries that PDFs have to address. "The PDF format contains a huge set of features and functionality designed for different audiences, and understanding the needs and capabilities of different workflows is now more important than ever," he said. PDF 2.0… The PDF file format was once a proprietary format owned by Adobe systems. Today, it is an open standard maintained by the International Organization for Standardization (ISO). The last version of the PDF standard Adobe put out was version 1.7. As part of PDF 1.7, Adobe added supplementals incorporating features that came out after the release. Since the standard was handed over to ISO, the organization has been working to integrate those features into the upcoming main standard, PDF 2.0. Notable features include redaction annotations and
Gary Edwards

What Google Learned From Its Quest to Build the Perfect Team - The New York Times - 0 views

  • Today, on corporate campuses and within university laboratories, psychologists, sociologists and statisticians are devoting themselves to studying everything from team composition to email patterns in order to figure out how to make employees into faster, better and more productive versions of themselves.
  • ‘‘We’re living through a golden age of understanding personal productivity,’’ says Marshall Van Alstyne, a research scientist at M.I.T. who studies how people share information. ‘‘All of a sudden, we can pick apart the small choices that all of us make, decisions most of us don’t even notice, and figure out why some people are so much more effective than everyone else.’’
  • If a company wants to outstrip its competitors, it needs to influence not only how people work but also how they work together.
  • ...38 more annotations...
  • ‘‘the time spent by managers and employees in collaborative activities has ballooned by 50 percent or more’’ over the last two decades and that, at many companies, more than three-quarters of an employee’s day is spent communicating with colleagues.
  • Five years ago, Google — one of the most public proselytizers of how studying workers can transform productivity — became focused on building the perfect team. In the last decade, the tech giant has spent untold millions of dollars measuring nearly every aspect of its employees’ lives. Google’s People Operations department has scrutinized everything from how frequently particular people eat together (the most productive employees tend to build larger networks by rotating dining companions) to which traits the best managers share (unsurprisingly, good communication and avoiding micromanaging is critical; more shocking, this was news to many Google managers).
  • In 2012, the company embarked on an initiative — code-named Project Aristotle — to study hundreds of Google’s teams and figure out why some stumbled while others soared. Dubey, a leader of the project, gathered some of the company’s best statisticians, organizational psychologists, sociologists and engineers. He also needed researchers. Rozovsky, by then, had decided that what she wanted to do with her life was study people’s habits and tendencies. After graduating from Yale, she was hired by Google and was soon assigned to Project Aristotle.
  • No matter how researchers arranged the data, though, it was almost impossible to find patterns — or any evidence that the composition of a team made any difference. ‘‘We looked at 180 teams from all over the company,’’ Dubey said. ‘‘We had lots of data, but there was nothing showing that a mix of specific personality types or skills or backgrounds made any difference. The ‘who’ part of the equation didn’t seem to matter.’’
  • As they struggled to figure out what made a team successful, Rozovsky and her colleagues kept coming across research by psychologists and sociologists that focused on what are known as ‘‘group norms.’’ Norms are the traditions, behavioral standards and unwritten rules that govern how we function when we gather: One team may come to a consensus that avoiding disagreement is more valuable than debate; another team might develop a culture that encourages vigorous arguments and spurns groupthink. Norms can be unspoken or openly acknowledged, but their influence is often profound.
  • Team members may behave in certain ways as individuals — they may chafe against authority or prefer working independently — but when they gather, the group’s norms typically override individual proclivities and encourage deference to the team.
  • After looking at over a hundred groups for more than a year, Project Aristotle researchers concluded that understanding and influencing group norms were the keys to improving Google’s teams. But Rozovsky, now a lead researcher, needed to figure out which norms mattered most. Google’s research had identified dozens of behaviors that seemed important, except that sometimes the norms of one effective team contrasted sharply with those of another equally successful group. Was it better to let everyone speak as much as they wanted, or should strong leaders end meandering debates? Was it more effective for people to openly disagree with one another, or should conflicts be played down? The data didn’t offer clear verdicts. In fact, the data sometimes pointed in opposite directions. The only thing worse than not finding a pattern is finding too many of them. Which norms, Rozovsky and her colleagues wondered, were the ones that successful teams shared?
  • the researchers wanted to know if there is a collective I. Q. that emerges within a team that is distinct from the smarts of any single member.
  • What interested the researchers most, however, was that teams that did well on one assignment usually did well on all the others. Conversely, teams that failed at one thing seemed to fail at everything. The researchers eventually concluded that what distinguished the ‘‘good’’ teams from the dysfunctional groups was how teammates treated one another. The right norms, in other words, could raise a group’s collective intelligence, whereas the wrong norms could hobble a team, even if, individually, all the members were exceptionally bright.
  • As the researchers studied the groups, however, they noticed two behaviors that all the good teams generally shared.
  • First, on the good teams, members spoke in roughly the same proportion, a phenomenon the researchers referred to as ‘‘equality in distribution of conversational turn-taking.’’
  • On some teams, everyone spoke during each task; on others, leadership shifted among teammates from assignment to assignment. But in each case, by the end of the day, everyone had spoken roughly the same amount. ‘‘As long as everyone got a chance to talk, the team did well,’’ Woolley said. ‘‘But if only one person or a small group spoke all the time, the collective intelligence declined.’’
  • Second, the good teams all had high ‘‘average social sensitivity’’ — a fancy way of saying they were skilled at intuiting how others felt based on their tone of voice, their expressions and other nonverbal cues.
  • One of the easiest ways to gauge social sensitivity is to show someone photos of people’s eyes and ask him or her to describe what the people are thinking or feeling — an exam known as the Reading the Mind in the Eyes test. People on the more successful teams in Woolley’s experiment scored above average on the Reading the Mind in the Eyes test. They seemed to know when someone was feeling upset or left out.
  • People on the ineffective teams, in contrast, scored below average. They seemed, as a group, to have less sensitivity toward their colleagues.
  • But all the team members speak as much as they need to. They are sensitive to one another’s moods and share personal stories and emotions. While Team B might not contain as many individual stars, the sum will be greater than its parts.
  • Within psychology, researchers sometimes colloquially refer to traits like ‘‘conversational turn-taking’’ and ‘‘average social sensitivity’’ as aspects of what’s known as psychological safety — a group culture that the Harvard Business School professor Amy Edmondson defines as a ‘‘shared belief held by members of a team that the team is safe for interpersonal risk-taking.’’
  • Psychological safety is ‘‘a sense of confidence that the team will not embarrass, reject or punish someone for speaking up,
  • ‘‘It describes a team climate characterized by interpersonal trust and mutual respect in which people are comfortable being themselves.’’
  • Most of all, employees had talked about how various teams felt. ‘‘And that made a lot of sense to me, maybe because of my experiences at Yale,’’ Rozovsky said. ‘‘I’d been on some teams that left me feeling totally exhausted and others where I got so much energy from the group.’’
  • Rozovsky’s study group at Yale was draining because the norms — the fights over leadership, the tendency to critique — put her on guard.
  • Whereas the norms of her case-competition team — enthusiasm for one another’s ideas, joking around and having fun — allowed everyone to feel relaxed and energized.
  • For Project Aristotle, research on psychological safety pointed to particular norms that are vital to success. There were other behaviors that seemed important as well — like making sure teams had clear goals and creating a culture of dependability. But Google’s data indicated that psychological safety, more than anything else, was critical to making a team work.
  • the kinds of people who work at Google are often the ones who became software engineers because they wanted to avoid talking about feelings in the first place.
  • Rozovsky and her colleagues had figured out which norms were most critical. Now they had to find a way to make communication and empathy — the building blocks of forging real connections — into an algorithm they could easily scale.
  • They agreed to adopt some new norms: From now on, Sakaguchi would make an extra effort to let the team members know how their work fit into Google’s larger mission; they agreed to try harder to notice when someone on the team was feeling excluded or down.
  • But to Sakaguchi, it made sense that psychological safety and emotional conversations were related.
  • The behaviors that create psychological safety — conversational turn-taking and empathy — are part of the same unwritten rules we often turn to, as individuals, when we need to establish a bond. And those human bonds matter as much at work as anywhere else. In fact, they sometimes matter more.
  • What Project Aristotle has taught people within Google is that no one wants to put on a ‘‘work face’’ when they get to the office. No one wants to leave part of their personality and inner life at home. But to be fully present at work, to feel ‘‘psychologically safe,’’ we must know that we can be free enough, sometimes, to share the things that scare us without fear of recriminations.
  • We must be able to talk about what is messy or sad, to have hard conversations with colleagues who are driving us crazy. We can’t be focused just on efficiency. Rather, when we start the morning by collaborating with a team of engineers and then send emails to our marketing colleagues and then jump on a conference call, we want to know that those people really hear us. We want to know that work is more than just labor.
  • helping his team succeed ‘‘is the most meaningful work I’ve ever done,
  • He encourages the group to think about the way work and life mesh. Part of that, he says, is recognizing how fulfilling work can be.
  • Project Aristotle ‘‘proves how much a great team matters,’’ he said. ‘‘Why would I walk away from that? Why wouldn’t I spend time with people who care about me?’’
  • technology industry is not just one of the fastest growing parts of our economy; it is also increasingly the world’s dominant commercial culture.
  • The paradox, of course, is that Google’s intense data collection and number crunching have led it to the same conclusions that good managers have always known. In the best teams, members listen to one another and show sensitivity to feelings and needs.
  • Google, in other words, in its race to build the perfect team, has perhaps unintentionally demonstrated the usefulness of imperfection and done what Silicon Valley does best: figure out how to create psychological safety faster, better and in more productive ways.
  • ‘‘Don’t underestimate the power of giving people a common platform and operating language.’’
  • Project Aristotle is a reminder that when companies try to optimize everything, it’s sometimes easy to forget that success is often built on experiences — like emotional interactions and complicated conversations and discussions of who we want to be and how our teammates make us feel — that can’t really be optimized.
  •  
    "Five years ago, Google - one of the most public proselytizers of how studying workers can transform productivity - became focused on building the perfect team. In the last decade, the tech giant has spent untold millions of dollars measuring nearly every aspect of its employees' lives. Google's People Operations department has scrutinized everything from how frequently particular people eat together (the most productive employees tend to build larger networks by rotating dining companions) to which traits the best managers share (unsurprisingly, good communication and avoiding micromanaging is critical; more shocking, this was news to many Google managers)."
Gary Edwards

The biggest threat to patent reform: The Apple/IBM/Microsoft coalition | VentureBeat | ... - 0 views

  • The cost of trolling, on the other hand, is minimal. Trolls also typically render themselves litigation-proof by creating shell companies with no assets, should they fall into legal trouble from a wrongful suit.
  • Fee shifting It is nearly impossible for a startup to find the resources to fight a patent suit. The promise of seeing some of that money back at the end makes securing the resources easier. Meaningful fee shifting will discourage the most egregious actors — those without meritorious cases — from suing in the first place; and joinder provisions are necessary to make sure that the real party in interest — the one that really owns the patent — can be held liable for the trolling activities of shell entities are also essential. In other words, no more hiding behind shell companies.
  • Heightened pleading Patent trolls benefit greatly from asymmetry of information. They are able to file suits with vague and limited information, leaving companies with no choice but to consult a lawyer about the scope of the threat they face. Most startups don’t have an in-house lawyer at all, let alone one who specializes in patents. Those bringing suits should set forth the basic framework of their case — who owns the patent, what product allegedly infringes the patent, and what parts of the patent are at issue. This would, at minimum, give startups a basic and common-sense understanding surrounding the threat, allowing them to make more informed decisions on how to proceed.
  • ...6 more annotations...
  • Fee shifting It is nearly impossible for a startup to find the resources to fight a patent suit. The promise of seeing some of that money back at the end makes securing the resources easier. Meaningful fee shifting will discourage the most egregious actors — those without meritorious cases — from suing in the first place; and joinder provisions are necessary to make sure that the real party in interest — the one that really owns the patent — can be held liable for the trolling activities of shell entities are also essential. In other words, no more hiding behind shell companies.
  • Heightened pleading Patent trolls benefit greatly from asymmetry of information. They are able to file suits with vague and limited information, leaving companies with no choice but to consult a lawyer about the scope of the threat they face. Most startups don’t have an in-house lawyer at all, let alone one who specializes in patents. Those bringing suits should set forth the basic framework of their case — who owns the patent, what product allegedly infringes the patent, and what parts of the patent are at issue. This would, at minimum, give startups a basic and common-sense understanding surrounding the threat, allowing them to make more informed decisions on how to proceed.
  • Discovery reform Discovery is one of the most onerous and expensive parts of patent litigation. When startups face companies solely in the business of licensing and litigation (e.g., oftentimes a patent troll), they find themselves facing outrageously expensive motion practice that has little to no impact on their adversary. Reasonable limits on initial discovery will help incentivize startups to fight the trolls in court. This will, by default, incentive those trolls to only bring meritorious suits.
  • Demand letter reform Patent trolls are legally able to send vague licensing demands, full of threatening legalese, and startups are again left with no information to understand the scope of the threat they face. Demand letters should include concrete information on the patent holder’s claim to give recipients needed information; and demand letters sent in bad faith should be actionable. Those senders should not be able to take advantage of the patent system and extort money from high-growth companies that are rebuilding the economy.
  • Customer stay exception Startups can sometimes find themselves facing expensive litigation for a product they obtained from someone else, or they might find their customers facing suits for using their products. In either instance, startups need tools — like robust stays — so manufacturers and suppliers can step in and join the defense. The harm resulting from the patent troll epidemic does not just impact startups; it creates an environment where startups have a negative impression of the patent system and are therefore significantly less likely to positively engage. A recent study from the National Sciences Foundation found that in the information sector (which includes software, Internet, and Data processing) only 10 percent of companies found utility patents either “very” or even “somewhat” important. We need comprehensive patent reform to level the playing field for all innovators so they are no longer victimized by a litigation system stacked in favor of trolls. The legislation must realign the patent system with its founding principles — to incentivize innovation and the progress of technology. This includes protecting patent owners’ rights along with the rights of those facing patent threats. To be clear, there is nothing in the Innovation Act, or other proposed legislation, that would stop a legitimate patent holder from bringing a meritorious case for infringement.
  • Final word So why are companies like Microsoft, IBM, GE, and Ford trying to slow down this legislative process? Simply put, spending millions of dollars on patent resources has proved a good way to make money and to shut out their competition — high-growth, disruptive, and nimble startups. We must not let these entrenched interests get in the way of fixing a broken system.
  •  
    "There's a new coalition in D.C., and big players like Apple, DuPont, Ford, GE, IBM, Microsoft, and Pfizer have all signed up. Unfortunately, launched on the day the Senate was supposed to take up the latest effort to reform the patent system, the coalition's sole purpose appears to be an effort to derail the important strides we've made toward fixing the patent troll problem via the proposed Innovation Act legislation. So what is it about the Innovation Act (and other legislative proposals being discussed in the Senate) that this coalition thinks will harm both their businesses and ability to build innovative products? These companies were all startups themselves once, and protecting startups that cannot afford to protect themselves from patent trolls is at the heart of the Innovation Act. The startups being targeted by patent trolls have less than $10 million in revenues. They are in no position to hire a patent lawyer to understand the scope of the threat they face - let alone pay the millions of dollars it would cost to take case to court. Even worse, startups are too often short on talent, so they do not have the luxury of using their current employees to read and understand vague patents with "fuzzy boundaries". Today's trolls send out scores of demand letters that make vague assertions of patent infringement while requesting "licensing fees" of $100,000 or more. The cost of trolling, on the other hand, is minimal. Trolls also typically render themselves litigation-proof by creating shell companies with no assets, should they fall into legal trouble from a wrongful suit. We need real reform that will stem the tide of the troll epidemic, while maintaining protection for patent holders to enforce their legal rights. This is precisely what the current proposals would do."
1 - 4 of 4
Showing 20 items per page