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Neil Movold

Neil Movold's Public Library

  • It takes a village to innovate. It takes a village to push the limits and accomplish the impossible. And that’s all great companies are. Villages with cultures all their own. 
Sep 22, 16

"The world is entering into a new era of computing that will enable the digital transformation of society and business based on the advancement and personalization of cognitive computing. Cognitive computing systems learn and interact naturally with people to extend what either a human or machine could do on their own. Cognitive systems like IBM Watson are redefining society, business and human interaction in the increasingly pervasive digital economy by helping everyone and everything make better decisions."

  • The world is entering into a new era of computing that will enable the digital transformation of society and business based on the advancement and personalization of cognitive computing. Cognitive computing systems learn and interact naturally with people to extend what either a human or machine could do on their own. Cognitive systems like IBM Watson are redefining society, business and human interaction in the increasingly pervasive digital economy by helping everyone and everything make better decisions.
Sep 22, 16

"The presentations discusses 7 cognitive "sins" (i.e. biases) that may hinder innovation in firms. It includes (1) sunk cost bias, (2) confirmation bias, (3) in-group bias (4) projection bias, (5) availability bias, (6) optimism bias and (7) omission bias."

  • The presentations discusses 7 cognitive "sins" (i.e. biases) that may hinder innovation in firms. It includes (1) sunk cost bias, (2) confirmation bias, (3) in-group bias (4) projection bias, (5) availability bias, (6) optimism bias and (7) omission bias.
Sep 22, 16

"Artificial intelligence is approximating human reasoning more and more closely all the time. Wide-scale adoption by business may be approaching, with important implications for how people live and work.

AI is paving the way for new business models and raising questions about how people and machines can best work together. Now, thanks in part to cheaper and faster computing power, intelligent machines help doctors comb through troves of medical images to identify diseases early, allow manufacturers to predict when their machines will break (and fix them before that happens), and provide the “brains” behind increasingly autonomous vehicles. It’s also playing a central role in the consumer market, powering the latest virtual assistant, for example, or the engine that matches Airbnb guests with the housing they want.

International Data Corp. predicts the worldwide market for cognitive software platforms and applications, which roughly defines the market for AI, to grow to $16.5 billion in 2019 from $1.6 billion in 2015 with a CAGR of 65.2%. The market includes offerings from both established tech giants and AI startups."

  • Artificial intelligence is approximating human reasoning more and more closely all the time. Wide-scale adoption by business may be approaching, with important implications for how people live and work.

     

    AI is paving the way for new business models and raising questions about how people and machines can best work together. Now, thanks in part to cheaper and faster computing power, intelligent machines help doctors comb through troves of medical images to identify diseases early, allow manufacturers to predict when their machines will break (and fix them before that happens), and provide the “brains” behind increasingly autonomous vehicles. It’s also playing a central role in the consumer market, powering the latest virtual assistant, for example, or the engine that matches Airbnb guests with the housing they want.

     

    International Data Corp. predicts the worldwide market for cognitive software platforms and applications, which roughly defines the market for AI, to grow to $16.5 billion in 2019 from $1.6 billion in 2015 with a CAGR of 65.2%. The market includes offerings from both established tech giants and AI startups.

  • Artificial intelligence encompasses the techniques used to teach computers how to learn, reason, perceive, infer, communicate and make decisions like humans do.
Sep 21, 16

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Sep 19, 16

"Hey all, these decks helped us a ton when putting together our own so hope you find it useful.

My favorite deck has to be the Youtube one - not because of the content of the deck but because of the story surrounding it:

Firstly, in the press release I linked up on the page Chad Hurley (Youtube CEO at the time) uses Blockbuster as a positive analogy, "the equivalent of moving one Blockbuster store a day over the Internet". Different times.

  • Hey all, these decks helped us a ton when putting together our own so hope you find it useful.

    My favorite deck has to be the Youtube one - not because of the content of the deck but because of the story surrounding it:

    Firstly, in the press release I linked up on the page Chad Hurley (Youtube CEO at the time) uses Blockbuster as a positive analogy, "the equivalent of moving one Blockbuster store a day over the Internet". Different times.

  • Josh Greenberg, Program Director for Digital Information Technology at the Alfred P. Sloan Foundation

  • For example, if a customer contacts a call center, a cognitive system adds insight about the caller’s nuance of tone, sentiments, emotional state and personal relationships. This is important when you consider that, by 2018, half of all consumers will regularly interact with services based on cognitive computing.
  • Cognitive computing is already at work helping to re-imagine everything from banking to retail to healthcare.
  • ) Develop a cognitive strategy. Decide which products, services, processes and operations should be infused with cognition. Determine what data your organization needs and pick the experts to train the cognitive system. The goal is to scale expertise.

6 more annotations...

  • When people ask how Watson is different than a search engine, I tell them to go on Google and type 'anything that's not an elephant.' What do you get? Tons of pictures of elephants. But Watson knows those subtle differences. It understands that when feet and noses run, those are very different things
    Director of Product Strategy, Retail solutions provider

  • This article is part of a series of interviews with IBM. In my first article I praised the turnaround of the company. I then had the opportunity to conduct interviews with IBM executives. In the first part of my interview with IBM I tried to understand the long-term vision of the firm. I then elaborated on Watson, IBM's cognitive system. Here I disclosed my discussion with IBM's corporate team. I then had the chance to dig deeper and have a conversation with Rob High, IBM Fellow and Watson Chief Technology Officer. Today I try to shed some light on Watson's performance and business model.

    In fact, despite the hype surrounding Watson, there is still a lot of uncertainty over Watson's performance, revenues and business model. A couple of months ago at the Code Conference, IBM CEO Ginni Rometty declared that Watson's business is still growing and that there's no value in disclosing this type of information at present (you can see the full video interview here). However, some Seeking Alpha readers' inquired about these topics and so I tried to investigate further. The details reported below are compiled from both research and information directly received from IBM, as well as two other interviews with IBM senior VP John Kelly and IBM's CEO Ginni Rometty.

  • IBM's CEO has shed some light on how IBM is monetizing Watson. She said that instead of focusing on a quick return, for example by selling Watson as a product, IBM decided to monetize Watson by selling it as a service.
  • "as they develop their product and solutions, as they get the market, we share the value that it is being created, but the onramp is very easy."

2 more annotations...

  • But online education has a problem: Of the hordes of  students that sign up for massive open online classes  (MOOCs),   an average of less than 7% finish.
  • "But one reason is that these MOOCs do not provide any teaching  assistants. So you can sign up for a course, say in mathematics,  or computer science, or web design, or whatever. But you  cannot ask anyone a question like 'So how do I download this  material?' or 'How do I find this material?' or 'How do i find  this video?' You know, just basic simple things. And people  get frustrated and they drop the course."

  • “Design is not style. It’s not about giving shape to the shell and not giving a damn about the guts. Good design is a renaissance attitude that combines technology, cognitive science, human need, and beauty to produce something that the world didn’t know it was missing.”—Paola Antonelli, senior curator of the Museum of Modern Art
  • IBM is looking to bolster its bottom line through a design-minded culture
  • Designers bring this intuitive sense for what it [the assignment] means. They understand the power of delivering a great experience and how to treat a user as if they were guests in their own home,”

  • The difference is subtle, but fundamental. College students are taught how to collect a bunch of data, run it through standard formulas, and answer a posed question. However, they often aren’t taught how to frame a problem, set up the mental model, or identify whether all of the data was even needed.
    • Former Navy Seal Jeff Boss says it best: “Trying to stay up to date with the latest viewpoints and updates is akin to the human version of an information hamster wheel: you can run along it all day but never actually arrive anywhere.“  

       

      In the above example, a better critical thinker would approach the problem with logic that looked similar to this:

       
         
      • How are we defining ‘better’ here? What is the real problem, and what does our customer really want?
      •  
      • With that goal in mind, what do I need to know to achieve the desired result?

  • Watson is defined as "a technology platform that uses natural language processing and machine learning to reveal insights from large amounts of unstructured data."
  • The underlying technology leverages neural networks [a form of network analysis inspired by biological neural systems. Basically a computer can connect large numbers of inputs and variables together and collectively match and "understand" them]. What Watson is essentially doing is to separate the weak signals from the noise to determine which signals are relevant to the user (remember that signals are different inputs such as words and pixels in an image). The task is to figure out which signals and patterns of signals are relevant and which signals can add meaning.
  • Deep learning involves training the system to recognize complex and abstract patterns by feeding it large amounts of labeled data and then working with human experts to refine the answers. Through successive rounds of input and feedback, Watson's understanding and response improve.

18 more annotations...

Sep 11, 16

"Business negotiation is an art that's integral to landing deals. When executed effectively, it can give you the leverage needed to ensure a favorable outcome.

While the specific scenarios can vary significantly, the process involves certain fundamental principles and following the right sequence of steps."

  • Business negotiation is an art that's integral to landing deals. When executed effectively, it can give you the leverage needed to ensure a favorable outcome.

    While the specific scenarios can vary significantly, the process involves certain fundamental principles and following the right sequence of steps.

  • an aggressive initial offer tends to lead to a higher final settlement and should work to your advantage the vast majority of the time. According to the research, "An aggressive first offer also allows you to offer concessions and still reach an agreement that's much better than your alternatives."
    • There are two main reasons for a compromise:

      1. You're clearly lacking leverage, and failing to compromise is likely to kill the deal that you desperately want to make. As long as not you're going beneath the absolute lowest amount you decided on prior to negotiation, a compromise can make sense.
      2. You'll still get a favorable deal and can build a relationship with the other party that's likely to be mutually beneficial in the long run. In this case, giving up a little now can potentially lead to big returns later on.

1 more annotation...

Sep 07, 16

"As defined by the Office of the National Coordinator for Health IT, patient-generated health data are “health-related data—including health history, symptoms, biometric data, treatment history, lifestyle choices, and other information—created, recorded, gathered, or inferred by or from patients or their designees to help address a health concern.”"

  • As defined by the Office of the National Coordinator for Health IT, patient-generated health data are “health-related data—including health history, symptoms, biometric data, treatment history, lifestyle choices, and other information—created, recorded, gathered, or inferred by or from patients or their designees to help address a health concern.”
  • Patient-generated health data is closely tied with remote patient monitoring and chronic disease management because the data is often mined from mHealth devices that collect biometric data.
  • “One of the major advances in recent years is the availability of wearable and wireless devices and mobile applications to record and visualize the information about the vast majority of my life spent outside the doctors’ offices,” Cryer said in the post. “Using these tools – a wireless scale and bracelet-style activity tracker – my doctors and I have been able to assess intervention effectiveness, adjust dosages, unearth side effects, and clarify decision points.”

3 more annotations...

  • So the next Industrial Revolution is not really computers and the internet, it is the networking of everything. With that in mind, we seem to be at the beginning of the beginning. We have only begun to connect everything to everything and to make, as Kevin Kelly calls it, “little network minds” everywhere.
  • Thanks to the development of public cloud technologies, other technological trends such as Artificial Intelligence (AI), Internet of Things (IoT) and Big Data are gaining in strength.
  • The benefits list piles up a number of considerations worthwhile the evaluation exercise. By using cloud applications, IT administrators see a reduction in time spent on repetitive tasks such as maintenance, upgrades and backup. It challenges the limitation of working from a given location. And even more importantly, it increases participation in business strategy and planning. The old 70/30 rule where IT spends 70% of its time in keeping the lights on is now more achievable than ever before

1 more annotation...

  • Peer-matching systems in online health communities offer a promising approach for leveraging PGHD to connect patients. Our findings point to interpersonal communication cues embedded in PGHD that could prove critical for building mentoring relationships among the growing membership of online health communities.

  • Exploration of patient preferences about personal health data use for research and quality improvement is a fundamental element of the provider-patient relationship. Giving patients an explicit opportunity to discuss their options about use of their data and implementing a process that allows patients to receive desired communications about how their information is used can help build patient trust, a requirement for successful care partnerships.

  • Although cancer survivors are at higher risk of chronic health problems and early death as a result of cancer treatment, some experience difficulty identifying and receiving the care they need to optimize their health post-treatment.
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