- Midsize Insider: Cloud FTW (For the Win) – How Gaming Developers are Driving a Multi-Billion Dollar Industry Using Open Standards, Cloud
Quote: We are witnessing a historic inflection point in technology. The power and potential of cloud computing to remove entry barriers and enable creativity is far exceeding anyone’s expectations and its impact on today’s smaller enterprise – the startup, entrepreneur, managed service provider and developer – will be staggering.
- Why machine learning is still getting the human touch in retail — Tech News and Analysis
Quote: Although techniques such as machine learning are taking off in the e-commerce and retail spaces as a way to display better recommendations or optimize product presentation, the smart money is still on humans getting the final say in what customers see.
- Timeliness is the most important Data Quality Dimension — OCDQ Blog
Quote: Although new prefixes for bytes (giga, tera, peta, exa, zetta, yotta) measure an increase in space, new prefixes for seconds (milli, micro, nano, pico, femto, atto) measure a decrease in time. More space is being created to deliver more data within the same, or smaller, timeframes. Space isn’t the final frontier, time is. Due to the increasing demand for real-time data-driven decisions, timeliness is the most important dimension of data quality.
- Little Data: Tracking Your Life Through Numbers
Quote: As more and more people record and store their daily activities, moods, and biometry, we’re likely to see a lot of “little data” turning into Big Data. Just like enterprises that are mining Big Data for business insight and higher margins, these folks are looking for meaning in the constantly moving stream of information.
- Hurdles to the Internet of Things prove more social than technical – O’Reilly Radar
Quote: Whether we want the IoT to turn on devices while we sit on the couch (not necessarily an indulgence for the lazy, but a way to let the elderly and disabled live more independently) or help solve the world’s most pressing problems in energy and water management, we need to take the societal and technological steps to solve these problems. Then let the fun begin.
- Six Reasons Social Marketing is at Risk
Quote: If we don’t start by admitting that the audience is aware of our motivations and that we are in fact subsidizing the social media platforms, we will continue to spiral downward. We must recognize that our fans are not dumb. They know when we are selling. People do not like to be sold to, unless you are Lego and then you can make millions on a long-form ad. (Well played, Lego!) That being said, it is ok to ask for the sale, just don’t do it ALL the time.
- Can Do vs. Can’t Do Cultures – Ben’s Blog
Quote: Who does the Can’t Do Culture hurt the most? Ironically, it hurts the haters. The people who focus on what’s wrong with an idea or a company will be the ones too fearful to try something that other people find stupid. They will be too jealous to learn from the great innovators. They will be too pig headed to discover the brilliant young engineer who changes the world before she does. They will be too cynical to inspire anybody to do anything great. They will be the ones who history ridicules.
- Conflict of Interest: common sense or witch-hunt? | Paul Miller – The Cloud of Data
Quote: Those who engage with us, who read us, who pay us… they will very quickly learn whether or not to trust us. In an environment where social media is fast, pervasive, and rich with deep knowledge, it doesn’t take long to find out who other people we trust place their trust in, and to use that to inform our own evolving measures of trustworthiness. And anyone can read a piece written about company X, with a clear statement that stocks were owned, beers were bought, brothers were hired, etc… and make up their own mind.
- The Hard Work of Transparency
Quote: But it’s an important reminder: you have to do the hard work of clarity (why you do things and how you do them), before you make everything clear (as in transparent).
- More Big Data Is Better, But Good Luck Understanding It All – ReadWrite
Quote: While the researchers suggest that “for predictive analytics with sparse, fine-grained data, even with simple models it indeed can be valuable to scale up to millions of instances and millions of features,” they also caution that “even the best data scientists in the world do not yet know how best to build complex predictive models from this sort of massive data.”
- 80% Of Our Revenue Comes From……. | Partners in EXCELLENCE Blog — Making A Difference
Quote: So data can be very powerful and very misleading. We always have to dive in to understand what the data really means. Conclusions, based on surface analysis (and virtually every time I see someone citing the Pareto Principle) can be very misleading. To make data useful, avoid jumping to conclusions based only on surface data, drill down and really understand what you are looking at
- Jason Becker and the Power of Technology
Quote: Technology can genuinely solve big/awful problems. It causes problems too, but when you see something like this you have to appreciate technology’s potential for improving people’s lives. It also makes me think, as an entrepreneur and angel investor, about why people start certain companies and do certain things. It’s interesting and important to understand a founder’s motivation for starting a company, and important to ask, “Why are you doing this?” What drives someone to create another photo sharing app? What drives someone to create a laundry service? What drives someone to solve problems that seem trivial or non-existent?
- IT’s Losing Battle Against Cloud Adoption – ReadWrite
Quote: In other words, IT underestimates cloud app usage within their organizations by about 10 times. That’s a shocking delta between perception and reality, and means that IT has a lot of work to do, given that many of the apps being run are almost certainly not up to IT’s security standards.
- Accelerating human invention with all the computers you’ll ever need — Tech News and Analysis
Quote: Cycle Computing CEO Jason Stowe dives deep into the economic and innovative benefits of running massive scientific workloads in the cloud. When researchers aren’t constrained by the systems the can afford, they can ask bigger questions and get better results.
- What startups can learn from the Tesla fire crisis – The Next Web
Quote: Don’t make excuses, don’t point fingers, and don’t make empty promises that can’t be kept. Accepting blame and making a real effort to prevent something similar from happening again is the best way to stop the media firestorm, even before it happens.
- “Let’s See How Much We Can Confuse Our Customers!” | Partners in EXCELLENCE Blog — Making A Difference
Quote: Our customers are not just buying a product. They’re buying a relationship with our company. They want to look at our companies, understanding what the total relationship is. They want to see consistency across all parts of the company, they want to see how the various pieces/parts fit together.
- Innovate on Purpose: The Five Sources of Innovation Consultants
Quote: As you can imagine, different innovation firms have different perspectives and different staffing and capabilities. When a client (or a potential employee) is interested in innovation, it pays to understand the roots of the firm in question and how they view innovation, and the capabilities and skills they will focus on when serving clients.
- Scott Adams Blog: Goals vs. Systems 11/18/2013
Quote: My problem with goals is that they are limiting. Granted, if you focus on one particular goal, your odds of achieving it are better than if you have no goal. But you also miss out on opportunities that might have been far better than your goal. Systems, however, simply move you from a game with low odds to a game with better odds. With a system you are less likely to miss one opportunity because you were too focused on another. With a system, you are always scanning for any opportunity.
- Why the Chief Digital Officer Role Is on the Rise – CIO.com
Quote: Whether you think it’s part of a transitional period or here for the long-term, the Chief Digital Officer role is gaining ground as more conventional companies look to invest in an enterprise-wide digital transformation.
- The Internet Of Things Will Be Huge—Just Not As Huge As The Hype – ReadWrite
Quote: Like most things in life, the real value of the Internet of Things lies somewhere between the hype and where we are now. One thing is certain: this will not be an overnight impact, but a slow evolution as technology and society adapts to the ramifications of a world where devices can talk to each other.
- The future of integration platforms is prescriptive rather than descriptive — Tech News and Analysis
Quote: The current middleman services that link connected devices and different web platforms are just the first step in building out a context-aware internet of things.
- Innovate on Purpose: Discomfort is the key to innovation
Quote: The best innovators know they need to cannibalize themselves before someone else does. This means good managers must create discomfort about the existing products and markets before they are disrupted by someone else. While you need good innovation methods and training, you’ll never approach a point where everyone is “comfortable” with innovation. What you need is to create more discomfort with the status quo than there is discomfort with innovation, and then provide the leadership, tools and methods to sustain innovation.
- Nurturing a sense of wonder | Aspire-CS
Quote: Open your heart to a sense of wonder by doing things that are outside of your normal routine, especially those that might be challenging. There is no better way to nurture a sense of wonder than shaking up your routine and stepping out of the box. Your ability to continue to lead at your best depends on it.
- Why data-driven marketers shouldn’t trust the data fully – Chief Marketing Technologist
Quote: Once we recognize that, we realize that data doesn’t necessarily settle arguments. Data can tell us what, but it can’t inherently tell us why. To uncover the why, we need a very specific kind of data: data from controlled experiments. Since why is often more important than what for deciding a future course of action, experimentation is a more powerful management tool than data analysis.
- Why CMOs and CIOs Need to Work on Their Relationship | MarketingProfs Daily Fix Blog
Quote: Ultimately, collaboration between marketing and technology is a positive step that every company should take. While the guidelines above may not have marketing and technology professionals holding hands and skipping down the street, recognizing the need for co-existence is the first step towards changing the status quo. Once CIOs and CMOs can finally achieve this coexistence and work together, both will reap the benefits.
- What’s All The Fuss About Social Selling? | Partners in EXCELLENCE Blog — Making A Difference
Quote: But I don’t get this continued debate about social selling, social channels. If your customers are using them, and they are, then why not exploit them. Are they the only thing? Absolutely not, any individual or company would be foolish by investing in a single channel—I don’t know any single channel that reaches 100% of and addressable market. These channels should be part of a rich demand gen, customer engagement set of tools we leverage to amplify and maximize our impact. Personal brand building–that may be important to you as an individual. But as an executive running an organization, don’t let your personal brand building efforts get in the way of doing your job.
- Inversion and The Power of Avoiding Stupidity
Quote: Spend less time trying to be brilliant and more time trying to avoid obvious stupidity. The kicker? Avoiding stupidity is easier than seeking brilliance.
- Innovate on Purpose: What to control and what to release for innovation success
Quote: Because innovation teams and their managers are unfamiliar with innovation, they apply two concepts: innovation is creative and artistic, so it shouldn’t be “bound” by definitions or process, and the mechanics of innovation should be as error free and as similar to existing, known processes as possible. In the “front end” the teams provide too little definition, but in the workings of innovation they expect it to resemble the process perfection they’ve come to expect from other activities. This dissonance means that innovation is often poorly defined, with narrow expected outcomes. Further, innovation is expected to work “perfectly” and in harmony with existing thinking and perspectives to deliver a refined new product, when innovation opportunities often exist in many more potential outcomes.
- A tale of two internets of things: Connectivity will invade your home and office in different ways — Tech News and Analysis
Quote: A third of businesses are already creating products associated with the internet of things but the evolution of connected networks will likely evolve faster in the corporate, rather than the consumer world.
- That Pesky Qualitative Side of Digital Customer Engagement – Highly Competitive – software industry insights
Quote: In the category of not everything that counts can be measured: listening, understanding, acting on what customers/buyers have to say are among the most important corporate ‘to-dos’ regarding real engagement. Responding to actual customer behavior and interactions is a much better route, than trying to “control” customers.
- Midsize Insider: Improve BYOD Risk Management
Quote: BYOD is expected only to grow in the near future, with predictions of upward of half of all companies asking employees to use their own devices for work purposes. Security has to be a priority. Developing information-centric perspective is key to managing BYOD risk.
- Selling And Order Taking | Partners in EXCELLENCE Blog — Making A Difference
Quote: Selling is different. The buyer and the situation is very different. We have to go find the customer, rather than counting on them to find us. We have to create the need to buy, often converting a latent need to an explicit need. We have to teach the customer, less about the product, more about the impact on their business. We have to persuade and influence multiple buyers. We have to execute a selling process aligned with the customer buying process. We have to help the customer move to a decision in their process. We have to create value through the process and differentiate the value of how we engage, as well as our solution against all the other alternatives the customer is considering.
- Ignorance is bliss for CIOs – The CIO Leader
Quote: Ignorance may well be bliss for many CIOs but it will also be career limiting and potentially career ending. Gartner believes that the CDO role will cease to exist by 2020 as, according to Sondergaard, “digital skills will be pervasive throughout the organisation.” If CIOs do not adopt a new model for IT this prediction may not come true. It could be the CIO and the IT function that cease to exist by 2020, replaced by an evolution of the CDO role supported by a business-focused technology team that sources and manages the technology services needed by the business. This is the role that CIOs and IT functions should be performing in the digital age. But they will only get the chance if CIOs acknowledge that the gap exists and that a new model for IT is needed.
- What the CIO Knows About Going Global – Business Value Exchange
Quote: Those of us working in companies who are on a journey of global transformation know it’s not a walk in the park. The relentless accumulation of early and late conference calls, a demanding travel schedule, the inevitable misreading of cultural cues (sometimes funny) can take their toll even on the most resilient colleagues. Try managing a team spread from Seattle to Canberra, as I did for a while. I promise working across 17 time zones will challenge your sleep pattern and that of your team.
- Making sense of the Internet of Things
Quote: One of the biggest challenges of IoT applications becoming widespread is the standardization of connectivity. Currently, a number of vendors actually have IoT solutions for certain verticals, but many are built on proprietary communication protocols. The simplest thing for the industry would be to put an IP stack on everything that needs connecting
- This CEO Says: Bring on the Data – CIO.com
Quote: David Williams is CEO of Deloitte Financial Advisory Services and a self-described data wonk. Here he talks about about data, social and CIOs.
- The Gigaom guide to deep learning: Who’s doing it, and why it matters — Tech News and Analysis
Quote: Deep learning is one of the hottest trends in big data right now and is currently underpinning the cutting edge in areas such as natural language processing and image recognition. Here’s a brief guide about what it is about who’s doing it.
- Oh I See (CIO Inverted): Integrated Best of Breed
Quote: Predictions about the demise of the larger solutions have been around for a while now; I do not believe that they are going away in a hurry, rather many have adapted to the new situation quite well. The momentum from new and micro solutions will keep everyone on their toes. Acquisitions will continue to change the landscape and the CIO will have to continuously adapt. Business will want agility and legacy will remain entrenched. The future will be uncertain, that is certain. All in a days’ job for the CIO !
- It’s Not the Size, It’s the Motion! Why Data in Motion Matters | The Big Data Hub
Quote: Stream computing changes where, when and how much of your business data you can analyze. By extracting insight from data as it is in motion, you can react to events as they are happening to reshape business outcomes. Store less, analyze more, and make better decisions, faster. From increased customer retention to earlier fraud detection to more frequent cross-selling, the benefits of stream computing are many.
- Big Data Platform As Technology Continuum : CloudAve
Quote: It is unfortunate that a lot of us are trained to chase a perfect answer as opposed to designing something that is less than perfect, useful, and inspirational to future generations to build on it. We look at technology in a small snapshot and think what it can do for me and others now. We don’t think of technology disruption as a continuum to solve a series of problems. Internet started that way and the first set of start-ups failed because they defined the problem too narrowly. The companies that succeeded such as Google, Amazon, eBay etc. saw Internet as a long term trend and didn’t think of it in a small snapshot. Cloud and Big Data are the same. Everyday I see problems being narrowly defined as if this is just a fad and companies want to capitalize on it before it disappears.
- Let’s Stop Kidding Ourselves and Start Innovating in Education
Quote: We can’t kid ourselves any more that what we’re doing at all levels — from primary to college education — is working. It’s past time to start trying experimenting with new approaches, from flipped classrooms and mastery learning to MOOCs, doing solid research to understand what works, then scaling up these better answers.
- What a narrow definition of success by David of 37signals
Quote: If you judge entrepreneurial success as surviving or selling (including raising follow-on funding, being bought, or successfully IPO’ing) as no doubt your investors do, then your odds of success are lower outside of the superhubs.
- More is less: Obamacare’s ‘tech surge’ adds manpower to an already-bloated project | The Verge
Quote: “‘Tech surge’ is just a couple buzz words thrown together,” a source familiar with CGI Federal tells The Verge in an email. “Anyone who knows how software development and engineering works will tell you that adding more people to a late project will only make it later. This is because you basically have to bring the new resources up to speed, which takes time away from working on the task at hand.”
- “If You Want People to Think, Give Them Intent—Not Instruction”
Quote: When you give people instruction, you put them on autopilot. They just run through a task list until it ends and don’t bother to think more than necessary. If you provide an intention you create an end goal to strive towards and encourage people to think about the best way to get there. If you find that you don’t have the proper motivation to finish a task, you can always ask your boss or manager for that intent. It might help you do better work and feel a little less like a task robot.