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Neil Movold

The age of the Graph - the transition from Transactions to Connections - 0 views

www.mkbergman.com/...the-age-of-the-graph

Social Graph Interest Graph Connections Intent Graph

shared by Neil Movold on 09 Sep 12 - No Cached
  • Neil Movold on 09 Sep 12
     
    "Virtually everywhere one looks we are in the midst of a transition for how we organize and manage information, indeed even relationships. Social networks and online communities are changing how we live and interact. NoSQL and graph databases - married to their near cousin Big Data - are changing how we organize and store information and data. Semantic technologies, backed by their ontologies and RDF data model, are showing the way for how we can connect and interoperate disparate information in ways only dreamed about a decade ago. And all of this, of course, is being built upon the infrastructure of the Internet and the Web, a global, distributed network of devices and information that is undoubtedly one of the most important technological developments in human history. There is a shared structure across all of these developments - the graph. Graphs are proving to be the new universal paradigm for how we organize and manage information. Graphs have an inherently expandable nature, and one which can also capture any existing structure. So, as we see all of the networks, connections, relationships and links - both physical and informational - grow around us, it is useful to step back a bit and contemplate the universal graph structure at the core of these developments. Understanding that we now live in the Age of the Graph means we can begin studying and using the concept of the graph itself to better analyze and manage our interconnected world. Whether we are trying to understand the physical networks of supply chains and infrastructure or the information relationships within ontologies or knowledge graphs, the various concepts underlying graphs and graph theory, themselves expressed through a rich vocabulary of terms, provide the keys for unlocking still further treasures hidden in the structure of graphs."
Neil Movold

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

www.fastcodesign.com/...ogy-isnt-mobile-its-contextual

contextual Interest Graph Insight Sensemaking Critical Thinking

shared by Neil Movold on 06 Jun 13 - No Cached
  • 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.
  • ...14 more annotations...
  • 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.
  • Neil Movold on 06 Jun 13
     
    "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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