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Neil Movold

Brain's unconscious bias sways decisions - 0 views

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    "If you've ever had to make a snap decision between two unfamiliar choices, you may want to thank your subconscious for making it possible. According to new research, the brain's memory areas link new memories to old associations, providing a roadmap for decision-making we don't even realize we have. The research, published in the Oct. 12 issue of the journal Science, focuses on the hippocampus, a region nestled deep in the brain that helps consolidate memories. Scientists have long known the hippocampus links memories and integrates them together, but the new study is the first to look at the region's role in biasing the brain toward certain choices."
Neil Movold

Realtime Decisions: Data is no Good without Sensemaking - 0 views

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    We are swamped with data - even our movements are tracked by mobile networks, and stored. Our web tracks are everywhere and our purchasing habits both online and offline are fully traceable. Businesses and security agencies are swamped with data, and yet there is widespread dissatisfaction about query tools and data analytics. Ask the right questions and you will get the right answers. That's all well and good with SQL, but it has failed us. Knowledgebase tools have failed us too.
Neil Movold

Today's Critical Skill? Critical Thinking - the new wave in productivity! - 0 views

  • Leaders are expected to operate at such a rapid pace and high level in this business environment that critical-thinking skills are paramount for success.
  • Even though critical thinking may seem like a soft or unquantifiable skill, it’s actually a key competency for leaders who operate in today’s business climate. In fact, the lack of critical thinking can lead to questionable decisions, which in turn could potentially tarnish a business’ reputation.
  • The four components of critical thinking, according to Hagemann, are:
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  • Strategic thinking.
  • Creative thinking.
  • Problem solving
  • Decision making
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    Leaders are expected to operate at such a rapid pace and high level in this business environment that critical-thinking skills are paramount for success. Even though critical thinking may seem like a soft or unquantifiable skill, it's actually a key competency for leaders who operate in today's business climate. In fact, the lack of critical thinking can lead to questionable decisions, which in turn could potentially tarnish a business' reputation.
Neil Movold

Belief and faith at the point of action for critical decision making - 0 views

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    What is it that drives decisions at the exact moment of choice and action? - even in the most mundane, everyday action? If the choice-point itself is a true moment of chaos - a point where literally anything is possible - then what is it that guides us through each of those infinitesimal yet ubiquitous moments?
Neil Movold

Rethinking work: The next chapter in social collaboration - 0 views

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    "PPT discusses how to use social collaboration to re-energize your workforce and optimize your core business processes with purpose driven collaboration. Learn how to streamline problem solving, execute faster and drive rapid decision making to achieve your core operational and financial performance metrics. Learn how The Transformational Opportunity from Social Collaboration will come from closing Business Loops: - Customer Performance = Traditional CRM + Customer Networks - Talent Performance = Talent Management + Talent Networks - Financial Performance & Risk Mitigation = Financial Management + Performance Networks - Supply Chain Performance = Supply Chain Management + Business Networks "
Neil Movold

New Ways of Thinking - Beyond Machines - 0 views

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    "For more than half a century, computers have been little better than calculators with storage structures and programmable memory, a model that scientists have continually aimed to improve. Comparatively, the human brain-the world's most sophisticated computer-can perform complex tasks rapidly and accurately using the same amount of energy as a 20 watt light bulb in a space equivalent to a 2 liter soda bottle. Cognitive computing: thought for the future Making sense of real-time input flowing in at a dizzying rate is a Herculean task for today's computers, but would be natural for a brain-inspired system. Using advanced algorithms and silicon circuitry, cognitive computers learn through experiences, find correlations, create hypotheses, and remember-and learn from-the outcomes. For example, a cognitive computing system monitoring the world's water supply could contain a network of sensors and actuators that constantly record and report metrics such as temperature, pressure, wave height, acoustics and ocean tide, and issue tsunami warnings based on its decision making."
Neil Movold

Realtime Decisions: Data is no Good without Sensemaking - 0 views

  • It is sensemaking that is needed, a way of pulling together disparate data sources to provide meaningful output.
  • Business intelligence/analytics tools need to cut through the data and understand the core meanings and implications.
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    We are swamped with data - even our movements are tracked by mobile networks, and stored. Our web tracks are everywhere and our purchasing habits both online and offline are fully traceable. Businesses and security agencies are swamped with data, and yet there is widespread dissatisfaction about query tools and data analytics. Ask the right questions and you will get the right answers. That's all well and good with SQL, but it has failed us. Knowledgebase tools have failed us too.
Neil Movold

Analysis-Paralysis and The Sensemaking Trap - 0 views

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    In the Double Freytag model of narrative decision-making, analysis-paralysis corresponds to getting stuck in the sense-making phase. Why does this happen? The problem has to do with the nature of the insight (or cheap trick) that triggers a gear shift from exploration to sense-making.  If it is an appreciative insight, it will help you make sense of what's going on in the situation without necessarily creating the focal point for action. But on the other hand, it is not a purely manipulative insight either (i.e., it is more than a mindless hack).  I covered appreciative versus manipulative knowledge in the last post.
Neil Movold

How gamification technology helps students learn - 0 views

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    Learning can be fun when you make a game out of it. That premise underlies the decision of an online learning platform to use game mechanics to engage college students. It works by motivating students to join, participate, contribute and share their successes.
Neil Movold

Define Critical Thinking Concepts - 0 views

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    Before get ting started let's ask the question: What is Critical Thinking? It is the ability to make and carry out informed decisions by efficiently utilizing your lifetime education, knowledge, experience, common sense, reasoning, intuition, feelings, and confidence.
Neil Movold

Amplified and Connected - The Unexpected has a way of catching our attention! - 0 views

  • The force driving the most radical change in organizations today is knowledge gained and shared through social media, the great amplifier of our time. Businesses can't hide from the expectations of customers and employees (the iPhone 5). Governments can't hide from the expectations of citizens (the Arab Spring). And trainers can't hide from the expectations of learners. A counterpart to information exchange through social media is the ability to collect and analyze enormous amounts of data about customers, partners, markets, and other quantifiables. Big Data, as it is called, allows companies to respond rapidly and with relevance to their constituents, and leaves them few excuses when they don't.
  • The Signal and the Noise: Why So Many Predictions Fail—but Some Don't, is about the explosion of data available in the Internet age, and the challenge of sorting through it all and making thoughtful decisions.
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    "The force driving the most radical change in organizations today is knowledge gained and shared through social media, the great amplifier of our time. Businesses can't hide from the expectations of customers and employees (the iPhone 5). Governments can't hide from the expectations of citizens (the Arab Spring). And trainers can't hide from the expectations of learners. A counterpart to information exchange through social media is the ability to collect and analyze enormous amounts of data about customers, partners, markets, and other quantifiables. Big Data, as it is called, allows companies to respond rapidly and with relevance to their constituents, and leaves them few excuses when they don't."
Neil Movold

How Technology is Changing the Way Children Think and Focus - 0 views

  • You can think of attention as the gateway to thinking. Without it, other aspects of thinking, namely, perception, memory, language, learning, creativity, reasoning, problem solving, and decision making are greatly diminished or can’t occur at all.
  • In fact, studies have shown that reading uninterrupted text results in faster completion and better understanding, recall, and learning than those who read text filled with hyperlinks and ads.
  • Research shows that, for example, video games and other screen media improve visual-spatial capabilities, increase attentional ability, reaction times, and the capacity to identify details among clutter. Also, rather than making children stupid, it may just be making them different. For example, the ubiquitous use of Internet search engines is causing children to become less adept at remembering things and more skilled at remembering where to find things. Given the ease with which information can be find these days, it only stands to reason that knowing where to look is becoming more important for children than actually knowing something. Not having to retain information in our brain may allow it to engage in more “higher-order” processing such as contemplation, critical thinking, and problem solving.
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    "Thinking. The capacity to reflect, reason, and draw conclusions based on our experiences, knowledge, and insights. It's what makes us human and has enabled us to communicate, create, build, advance, and become civilized. Thinking encompasses so many aspects of who our children are and what they do, from observing, learning, remembering, questioning, and judging to innovating, arguing, deciding, and acting."
Neil Movold

Welcome to the Era of Cognitive Systems - 0 views

  • Notice, I don’t use the term “thinking machines.” That’s because I don’t want to suggest that cognitive systems will think like humans do. Rather, they will help us think and make better decisions.
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    "Today, we are at the dawn of another epochal shift in the evolution of technology. At IBM Research, we call it the era of cognitive systems. This is a big deal. The changes that are coming over the next 10 to 20 years-building on IBM's Watson technology-will transform the way we live, work and learn, just as programmable computing has transformed the human landscape over the past 60+ years. You could even call this the post-computing era."
Neil Movold

The True Hive Mind - How Honeybee Colonies Think | Wired Science - 0 views

  • Like many other biologists, Seeley sees a bee colony as not just a collection of individuals but as a sort of super-organism. Thus the brain analogy above.
  • This extends to decision-making, which is the main subject of Honeybee Democracy.
  • Honeybee Democracy provides not just a look at a particularly rich life of inquiry but some nice, unforced parallels between the workings of honeybee colonies, small human societies, and our great big human brains: Certain group dynamics, it seems, are scalable and fractal.
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    We will see that the 1.5 kilograms (3 pounds) of bees in a honeybee swarm, just like the 1.5 kilograms (3 pounds) of neurons in a human brain, achieve their collective wisdom by organizing themselves in such a way that even though each individual has limited information and limited intelligence, the group as a whole makes first-rate collective. Like many other biologists, Seeley sees a bee colony as not just a collection of individuals but as a sort of super-organism. Thus the brain analogy above.
Neil Movold

Better Insights Make Better Leaders - 0 views

  • Today, leaders that embrace analytics are outperforming their competition—and the gap is widening. They extract better insights from the big data that continues to pour from all sources. These insights help them perform better and make faster decisions. Analytics is changing the nature of how businesses and governments work. Leaders and organizations that don’t integrate analytics into every aspect of their operations will get left behind.
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    The world today is filled with information. This proliferation makes it quite overwhelming to make good sense of "big data" that is continuously flowing in from a variety of new sources. In the past, the way to get things done was to keep data close, using small teams to sift through it. But now, people are used to having information at their fingertips. They're accustomed to sifting through it and coming up with new solutions, getting insights in unexpected ways.
Neil Movold

MIT Entrepreneurship Review | How the Interest Graph will shape the future of the web - 0 views

  • The Interest Graph has been described as the “middle ground between Google and Facebook – between search, advertising, and the social graph”. Simply put, Google creates their version of the Interest Graph by mining my search queries and other data collected online, for example through Gmail or Google Maps.  It then offers advertisers a way to personalize their messages. One of the problems is the often high noise level in the data due to the lack of context (e.g. I might be looking up something for a friend rather than myself), which decreases relevancy. Recently, there has been a lot of buzz around social search as studies have shown that friend recommendations are much more powerful than traditional advertising in influencing consumer behavior and purchasing decisions.
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    What do Color, Quora, Hunch, Blippy, and StockTwits have in common? They are examples of companies that generate value for their users by leveraging the concept of the Interest Graph. The list also features some of the most promising startups right now, having raised close to $100 million in venture funding. Pure coincidence?
Neil Movold

Only human beings can tell you where meaning is.. George Dyson - Information Is Cheap, ... - 0 views

  • The European: Is that what you are hinting at when you say that “it is always easier to find answers than to ask the right questions”? Dyson: Finding answers is easy. The hard part is creating the map that matches specific answers to the right question. That’s what Google did: They used the power of computing – which is cheap and really does not have any limits – to crawl the entire internet and collected and index all the answers. And then,by letting human beings spend their precious time asking the right questions, they created a map between the two. That is a clever way of approaching a problem that would otherwise be incomprehensibly difficult.
  • The European: Is that what you are hinting at when you say that “it is always easier to find answers than to ask the right questions”? Dyson: Finding answers is easy. The hard part is creating the map that matches specific answers to the right question. That’s what Google did: They used the power of computing – which is cheap and really does not have any limits – to crawl the entire internet and collected and index all the answers. And then,by letting human beings spend their precious time asking the right questions, they created a map between the two. That is a clever way of approaching a problem that would otherwise be incomprehensibly difficult.
  • Dyson: Right. We now live in a world where information is potentially unlimited. Information is cheap, but meaning is expensive. Where is the meaning? Only human beings can tell you where it is. We’re extracting meaning from our minds and our own lives.
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  • The European: And we are faced with the task of shaping that process as it unfolds? Dyson: I think that we are generally not very good at making decisions. Mostly, things just happen. And there are some very creative human individuals who provide the sparks to drive that process. History is unpredictable, so the important thing is to stay adaptable. When you go to an unknown island, you don’t go with concrete expectations of what you might find there. Evolution and innovation work like the human immune system: There is a library of possible responses to viruses. The body doesn’t plan ahead trying to predict what the next threat is going to be, it is trying to be ready for anything.
Neil Movold

The Future Of Technology Isn't Mobile, It's Contextual - 0 views

  • It’s called situational awareness.
  • Our senses pull in a multitude of information, contrast it to past experience and personality traits, and present us with a set of options for how to act or react.
  • it selects and acts upon the preferred path. This process—our fundamental ability to interpret and act on the situations in which we find ourselves—has barely evolved since we were sublingual primates living on the Veldt.
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  • Our senses aren’t attuned to modern life. A lot of the data needed to make good decisions are unreliable or nonexistent. And that’s a problem.
  • contextual computing
  • Always-present computers, able to sense the objective and subjective aspects of a given situation, will augment our ability to perceive and act in the moment based on where we are, who we’re with, and our past experiences. These are our sixth, seventh, and eighth senses.
  • These merely scratch the surface. The adoption of contextual computing—combinations of hardware, software, networks, and services that use deep understanding of the user to create tailored, relevant actions that the user can take—is contingent on the spread of new platforms.
  • It’s interesting because it’s always with the user and because it’s equipped with sensors.
  • It’s a cultural moment that’s not dissimilar to the way in which graphical, and then networked computing, were introduced in conceptual and technical forms 10 years before reaching commercial success.
  • identified four data graphs essential to the rise of contextual computing: social, interest, behavior, and personal.
  • There are legitimate ethical concerns about each of these graphs. They throw into relief the larger questions of privacy policy we’re currently wrestling with as a culture: Too much disclosure of the social graph can lead to friends feeling that you’re tattling on them to a corporation.
  • In an ideal contextual computing state, this graph would be complete—so gentle nudges by software and services can bring together two people who are strangers but who could get along brilliantly and are in the same place at the same time.
  • Given that psychology still struggles to explain exactly how our personal identities function, it’s not surprising that documenting such information in a computable form is slow to emerge.
  • A more successful example is Evernote, which has built a large business based on making it incredibly easy and secure to document both recently consumed information and your innermost thoughts.
  • It cannot yet tackle the way your curiosity might lead you to new directions. And it could never effectively recommend a restaurant or a vacation spot based on what it knows you read.
  • As Bill Gates astutely pointed out, "There’s a tendency to overestimate how much things will change in two years and underestimate how much change will occur over 10 years."
  • By combining a task with broad and relevant sets of data about us and the context in which we live, contextual computing will generate relevant options for us, just as our brains do when we hear footsteps on a lonely street today.
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    "NEXT UP: MACHINES THAT UNDERSTAND YOU AND EVERYTHING YOU CARE ABOUT, ANTICIPATE YOUR BEHAVIOR AND EMOTIONS, ABSORB YOUR SOCIAL GRAPH, INTERPRET YOUR INTENTIONS, AND MAKE LIFE, UM, "EASIER.""
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