Turbotodd

Ruminations on tech, the digital media, and some golf thrown in for good measure.

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IBM Transforms FlashSystem, Drives Down Cost of Data

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IBM today announced sweeping advances in its all-flash storage solutions and software to drive down the costs of data and extend its solutions for hybrid and private cloud environments.

Some of the changes and additions include:

  • New ultra-dense FlashSystem array capable of storing more data in the same footprint, contributes to lower data capacity costs by nearly 60 percent.
  • New Spectrum Virtualize software allows simplified migration and disaster recovery of data to and from the IBM Public Cloud;
  • New software enables IBM and non-IBM storage to be used with popular Docker and Kubernetes containers environments;
  • Cloud-based software beta program integrates storage with artificial intelligence and machine learning through new software to collect inventory and diagnostic information in order to help optimize the performance, capacity and health of clients’ storage infrastructure.

“Companies are seeking guidance in modernizing their data from being a passive cost center to being the central hub for their business. IBM understands that only those that extensively analyze and exploit their data will benefit from it,” said Ed Walsh, GM, IBM Storage and SDI. “To help clients make this transformation, we are introducing new all-flash solutions that will dramatically lower the cost of storage systems while making data availability – whether on-site or in the cloud – a central part of their business strategy.”

In addition to the aforementioned features, updates to IBM Storage systems and software include:

  • New Platform Speeds Private Cloud Deployments – IBM Spectrum Access solutions offer what storage admins users need to deploy a private cloud quickly and efficiently, delivering the economics and simplicity of the cloud with accessibility, virtualization and performance of an on-premises implementation;
  • Consumption-Based Pricing – new utility offering enables a consumption-based buying model for hybrid cloud environments leveraging most of the IBM storage and VersaStack portfolios for users preferring to buy storage as an operating expense;
  • Consolidated User Interface – new interface for FlashSystem 900 consolidates activity and performance information in a single dashboard. Consistent with user interfaces used in other IBM storage systems and IBM Spectrum Storage software, the UI simplifies operations and helps improve productivity;
  • VersaStack with FlashSystem – incorporating the newest FlashSystem being announced today an extensive refresh to the IBM/Cisco VersaStack converged infrastructure offerings;
  • Investment Protection – several of the new all-flash storage and VersaStack solutions announced today are NVMe ready, enabling them to take advantage of the NVMe offerings coming in 2018.

“With this announcement, IBM is demonstrating, among other things, how highly leveraged their FlashCore strategy is,” said Eric Burgener, Research Director for Storage at IDC.  “Next generation FlashCore enhancements, including higher density 3D TLC NAND-based media and hardware-assisted in-line compression and encryption, immediately improve the capabilities of multiple IBM All Flash Arrays by providing features that drive higher infrastructure density and improved security more cost-effectively.”

IBM leadership in storage systems and software is based upon more than 380 system patents, including IBM FlashCore technology and more than 700 patents for IBM Spectrum Storage software. As a result IBM’s flash arrays have been ranked as Leader in Gartner Magic Quadrant for Solid State Arrays for four years in a row and for the 3rd year in a row has been named the #1 Software-Defined Storage vendor by IDC.

The new features to IBM’s all-flash systems and IBM Spectrum Storage software will be available in Q4. Clients interested in participating in the IBM beta program for cognitive support can inquire by visiting ibm.biz/FoundationPilot.

For more information about IBM Flash Storage please visit: https://www.ibm.com/storage/flash.

Written by turbotodd

October 26, 2017 at 9:12 am

You Don’t Know Me

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Bloomberg is reporting that Apple is having production problems for the new iPhone X due to the sophisticated requirements of its new facial recognition technology, and is said to have told suppliers they could reduce the accuracy of the face recognition technology to make it easier to manufacture.

The iPhone X is set to debut on November 3.

Also on the Apple Beat…Apple has acquired ten-year-old Auckland-based wireless charging company, PowerbyProxi, for an undisclosed sum, and according to Stuff Technology, plans on keeping the company powered up in New Zealand.

Meanwhile, if you’re not confused yet about the continuing evolution of bitcoin, there’s a new fork of forks. Blockchain firm Bloq (see what they did there with the name?) indicated it has created a rival to bitcoin called “Metronome” that will go on sale in December, according to Fortune.

Today, bitcoin faces existential threats from forks, developer drama and so on. Knowing what we know and having a clean sheet of paper, we asked what what would we build and the answer is this. Jeff Garzik, CEO of Bloq and a longtime bitcoin developer.

Written by turbotodd

October 25, 2017 at 10:47 am

IBM: Five Innovations That Will Help Change Our Lives Within Five Years

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IBM unveiled today the annual “IBM 5 in 5” (#ibm5in5) – a list of ground-breaking scientific innovations with the potential to change the way people work, live, and interact during the next five years.

Drum roll, please…:

In 1609, Galileo invented the telescope and saw our cosmos in an entirely new way. He proved the theory that Earth and other planets in our solar system revolve around the Sun, which until then was impossible to observe.

IBM Research
continues this work through the pursuit of new scientific instruments – whether physical devices or advanced software tools – designed to make what’s invisible in our world visible, from the macroscopic level down to the nanoscale.

 

“The scientific community has a wonderful tradition of creating instruments to help us see the world in entirely new ways. For example, the microscope helped us see objects too small for the naked eye and the thermometer helped us understand temperature of the Earth and human body,” said Dario Gil, vice president of science & solutions at IBM Research. “With advances in artificial intelligence and nanotechnology, we aim to invent a new generation of scientific instruments that will make the complex invisible systems in our world today visible over the next five years.”

Innovation in this area could enable us to dramatically improve farming, enhance energy efficiency, spot harmful pollution before it’s too late, and prevent premature physical and mental health decline as examples. IBM’s global team of scientists and researchers is steadily bringing these inventions from the realm of our labs to the real world.

The IBM 5 in 5 is based on market and societal trends as well as emerging technologies from IBM’s Research labs around the world that can make these transformations possible. Here are the five scientific instruments that will make the invisible visible in the next 5 years:

With AI, our words will open a window into our mental health

Brain disorders, including developmental, psychiatric and neurodegenerative diseases, represent an enormous disease burden, in terms of human suffering and economic cost.

For example, today, one in five adults in the U.S. experiences a mental health condition such as depression, bipolar disease or schizophrenia, and roughly half of individuals with severe psychiatric disorders receive no treatment. The global cost of mental health conditions is projected to surge to US$6 trillion by 2030.

If the brain is a black box that we don’t fully understand, then speech is a key to unlock it. In five years, what we say and write will be used as indicators of our mental health and physical wellbeing.

Patterns in our speech and writing analyzed by new cognitive systems will provide tell-tale signs of early-stage developmental disorders, mental illness and degenerative neurological diseases that can help doctors and patients better predict, monitor and track these conditions.

At IBM, scientists are using transcripts and audio inputs from psychiatric interviews, coupled with machine learning techniques, to find patterns in speech to help clinicians accurately predict and monitor psychosis, schizophrenia, mania and depression. Today, it only takes about 300 words to help clinicians predict the probability of psychosis in a user.

In the future, similar techniques could be used to help patients with Parkinson’s, Alzheimer’s, Huntington’s disease, PTSD and even neurodevelopmental conditions such as autism and ADHD. Cognitive computers can analyze a patient’s speech or written words to look for tell-tale indicators found in language, including meaning, syntax and intonation.

Combining the results of these measurements with those from wearable devices and imaging systems and collected in a secure network can paint a more complete picture of the individual for health professionals to better identify, understand and treat the underlying disease.

What were once invisible signs will become clear signals of patients’ likelihood of entering a certain mental state or how well their treatment plan is working, complementing regular clinical visits with daily assessments from the comfort of their homes.

Hyperimaging and AI will give us superhero vision

More than 99.9 percent of the electromagnetic spectrum cannot be observed by the naked eye. Over the last 100 years, scientists have built instruments that can emit and sense energy at different wavelengths.

Today, we rely on some of these to take medical images of our body, see the cavity inside our tooth, check our bags at the airport, or land a plane in fog. However, these instruments are incredibly specialized and expensive and only see across specific portions of the electromagnetic spectrum.

In five years, new imaging devices using hyperimaging technology and AI will help us see broadly beyond the domain of visible light by combining multiple bands of the electromagnetic spectrum to reveal valuable insights or potential dangers that would otherwise be unknown or hidden from view.

Most importantly, these devices will be portable, affordable and accessible, so superhero vision can be part of our everyday experiences.

A view of the invisible or vaguely visible physical phenomena all around us could help make road and traffic conditions clearer for drivers and self-driving cars. For example, using millimeter wave imaging, a camera and other sensors, hyperimaging technology could help a car see through fog or rain, detect hazardous and hard-to-see road conditions such as black ice, or tell us if there is some object up ahead and its distance and size.

Cognitive computing technologies will reason about this data and recognize what might be a tipped over garbage can versus a deer crossing the road, or a pot hole that could result in a flat tire.

Embedded in our phones, these same technologies could take images of our food to show its nutritional value or whether it’s safe to eat. A hyperimage of a pharmaceutical drug or a bank check could tell us what’s fraudulent and what’s not. What was once beyond human perception will come into view.

IBM scientists are today building a compact hyperimaging platform that “sees” across separate portions of the electromagnetic spectrum in one platform to potentially enable a host of practical and affordable devices and applications.

Macroscopes will help us understand Earth’s complexity in infinite detail

Today, the physical world only gives us a glimpse into our interconnected and complex ecosystem. We collect exabytes of data – but most of it is unorganized. In fact, an estimated 80 percent of a data scientist’s time is spent scrubbing data instead of analyzing and understanding what that data is trying to tell us.

Thanks to the Internet of Things, new sources of data are pouring in from millions of connected objects – from refrigerators, light bulbs and your heart rate monitor to remote sensors such as drones, cameras, weather stations, satellites and telescope arrays.

There are already more than six billion connected devices generating tens of exabytes of data per month, with a growth rate of more than 30 percent per year. After successfully digitizing information, business transactions and social interactions, we are now in the process of digitizing the physical world.

In five years, we will use machine learning algorithms and software to help us organize the information about the physical world to help bring the vast and complex data gathered by billions of devices within the range of our vision and understanding. We call this a “macroscope” – but unlike the microscope to see the very small, or the telescope that can see far away, it is a system of software and algorithms to bring all of Earth’s complex data together to analyze it for meaning.

By aggregating, organizing and analyzing data on climate, soil conditions, water levels and their relationship to irrigation practices, for example, a new generation of farmers will have insights that help them determine the right crop choices, where to plant them and how to produce optimal yields while conserving precious water supplies.

In 2012, IBM Research began investigating this concept at Gallo Winery, integrating irrigation, soil and weather data with satellite images and other sensor data to predict the specific irrigation needed to produce an optimal grape yield and quality. In the future, macroscope technologies will help us scale this concept to anywhere in the world.

Beyond our own planet, macroscope technologies could handle, for example, the complicated indexing and correlation of various layers and volumes of data collected by telescopes to predict asteroid collisions with one another and learn more about their composition.

Medical labs “on a chip” will serve as health detectives for tracing disease at the nanoscale

Early detection of disease is crucial. In most cases, the earlier the disease is diagnosed, the more likely it is to be cured or well controlled. However, diseases like cancer can be hard to detect – hiding in our bodies before symptoms appear.

Information about the state of our health can be extracted from tiny bioparticles in bodily fluids such as saliva, tears, blood, urine and sweat. Existing scientific techniques face challenges for capturing and analyzing these bioparticles, which are thousands of times smaller than the diameter of a strand of human hair.

In the next five years, new medical labs “on a chip” will serve as nanotechnology health detectives – tracing invisible clues in our bodily fluids and letting us know immediately if we have reason to see a doctor. The goal is to shrink down to a single silicon chip all of the processes necessary to analyze a disease that would normally be carried out in a full-scale biochemistry lab.

The lab-on-a-chip technology could ultimately be packaged in a convenient handheld device to allow people to quickly and regularly measure the presence of biomarkers found in small amounts of bodily fluids, sending this information securely streaming into the cloud from the convenience of their home.

There it could be combined with real-time health data from other IoT-enabled devices, like sleep monitors and smart watches, and analyzed by AI systems for insights. When taken together, this data set will give us an in depth view of our health and alert us to the first signs of trouble, helping to stop disease before it progresses.

At IBM Research, scientists are developing lab-on-a-chip nanotechnology that can separate and isolate bioparticles down to 20 nanometers in diameter, a scale that gives access to DNA, viruses, and exosomes. These particles could be analyzed to potentially reveal the presence of disease even before we have symptoms.

Smart sensors will detect environmental pollution at the speed of light

Most pollutants are invisible to the human eye, until their effects make them impossible to ignore. Methane, for example, is the primary component of natural gas, commonly considered a clean energy source. But if methane leaks into the air before being used, it can warm the Earth’s atmosphere. Methane is estimated to be the second largest contributor to global warming after carbon dioxide (CO2).

In the United States, emissions from oil and gas systems are the largest industrial source of methane gas in the atmosphere. The U.S. Environmental Protection Agency (EPA) estimates that more than nine million metric tons of methane leaked from natural gas systems in 2014.

Measured as CO2-equivalent over 100 years, that’s more greenhouse gases than were emitted by all U.S. iron and steel, cement and aluminum manufacturing facilities combined.

In five years, new, affordable sensing technologies deployed near natural gas extraction wells, around storage facilities, and along distribution pipelines will enable the industry to pinpoint invisible leaks in real-time.

Networks of IoT sensors wirelessly connected to the cloud will provide continuous monitoring of the vast natural gas infrastructure, allowing leaks to be found in a matter of minutes instead of weeks, reducing pollution and waste and the likelihood of catastrophic events.

Scientists at IBM are tackling this vision, working with natural gas producers such as Southwestern Energy to explore the development of an intelligent methane monitoring system and as part of the ARPA-E Methane Observation Networks with Innovative Technology to Obtain Reductions (MONITOR) program.

At the heart of IBM’s research is silicon photonics, an evolving technology that transfers data by light, allowing computing literally at the speed of light.

These chips could be embedded in a network of sensors on the ground or within infrastructure, or even fly on autonomous drones; generating insights that, when combined with real-time wind data, satellite data, and other historical sources, can be used to build complex environmental models to detect the origin and quantity of pollutants as they occur.

For more information about the IBM 5 in 5, please visit: http://ibm.biz/five-in-five.

Written by turbotodd

January 5, 2017 at 8:53 am

Posted in Uncategorized

Social Data Kickoff

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How about them Cowboys?

I’m sorry, Giants fans, but you’ve won in our house too many times lately not for me to give you a hard time when America’s team sticks it to ya.

The Giants had the most turnovers last night since 1987, and it showed. Every time I looked down at my Facebook wall, I looked back up again only to find Eli Manning wondering how the ball ended up in the hands of another Cowboy.

That’s okay, it’s early yet — it was the first game — but the smell of victory is sweet, especially against the Giants.

I’m apparently not the only one interested in monitoring my Facebook wall during football games, and so Facebook is announcing some new tools to assist news organizations (and marketers) in better understanding the real-time social data around such major events.

For example: According to The New York Times Bits Blog, the N.F.L. season start generated over 20 million likes, comments, and shares on Facebook by over 8 million people.

Knowing that 3 million people suddenly burst into an eruptive cheer of “Go Cowboys!” is, of course, invaluable market insight that media buyers up and down Madison Avenue can leverage to sell Jerry Jones more ad space for his Papa John’s commercials.

But I digress.

This is all really about trying to tamp down the Twitter real-time data stream onslaught which has only, oh let’s say, about a five-year headstart on Zuck and company.

And that is, of course, because the Twitter powers that be have tried to operate at least partially in the spirit of a more open social realm, allowing large proportions of their API to be generously offered up to the world at large.

Whereas Facebook, on the other hand, has held their API very close to the vest, letting piece parts be revealed to the greater world only when the underlying motivation of monetization looms largest.

Though the Facebook silly wabbit may have turned the faucet just enough to let some interesting drips slip out, it’s the lingering but stalwart Twitter turtle that’s best currently positioned to win the social data race.

Written by turbotodd

September 9, 2013 at 9:23 am

Sweet Caroline’s New High Tech Glasses

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I wasn’t in Boston over the weekend, so I wasn’t there to see Neil Diamond sing “Sweet Caroline” live and in person at Fenway Park.

But I was introduced to the tradition during my own first visit to Fenway a year ago this May, and I can’t think of a more fitting way to kick away the dust of fear and horror last week than something as American as having Neil Diamond show up at the ball park to sing “Sweet Caroline”!

If you’ve never experienced it firsthand, basically here’s how it goes: In the middle of the eighth inning, since 2002, “Sweet Caroline” is played over the loudspeakers at Fenway, and the great citizens of Bostons (and Red Sox fans everywhere) do a little audience participation. It’s not quite a “Rocky Horror Picture Show” level of audience participation, but then again, this is baseball and we’re between innings people!

Go find some of the video recaps to see for yourself, but if you did see Diamond out there on the diamond doing it live this weekend, amd if that didn’t send a couple of tears to your eyes, you’d better check to make sure the drones from Tom Cruise’s new movie “Oblivion” (and which I saw this weekeend…two thumbs up!) haven’t taken over.

Of course, I guess if you didn’t want anyone to see you cry you could invest in some of these new techno glasses, Google’s or otherwise.

According to The New York Times, Oakley’s also getting into the act, working to introduce goggles that can display incoming text messages, have embedded GPS, Bluetooth, and video cameras.

Skiers, please, keep your eyes on the slopes at all times!

That goes for you cyclists looking to check your heartbeat in your newfangled high tech cycling glasses every five seconds.

Don’t get me wrong, I’m all for having performance biometrics, even in real-time, but I think we have to think very carefully about how that information is presented back to athletes, especially those mid-mountain or mid-peloton.

If you’ve ever nearly been run over by someone who was texting while driving, you know exactly what I’m talking about.

I texted while driving for a time. But about the fourth time I nearly rear-ended someone, it dawned on me that texting while driving was a bad idea. Very bad. And this was well before any of those anti-texting public ad campaigns had emerged.

These days, I find myself constantly scanning my rear-view mirror in fear of some other idiot not having come around to a similar conclusion, which is its own kind of dangerous distraction.

So what’s going to happen on the ski mountains across the globe when folks are too busy checking their optimum heart rate to see those trees racing up towards their performance glasses?

There will be an inordinate demand for well trained ski patrol professionals, that’s what!

Written by turbotodd

April 22, 2013 at 8:43 am

IBM 1Q 2013 Earnings

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I was sitting here at JFK waitin’ on a plane and IBM’s 1Q 2013 earnings came across the wire, so here goes:

  • Diluted EPS: GAAP: $2.70, up 3 percent; Operating (non-GAAP): $3.00, up 8 percent
  • Net income: GAAP: $3.0 billion, down 1 percent; Operating (non-GAAP): $3.4 billion, up 3 percent
  • Gross profit margin: GAAP: 45.6 percent, up 0.6 points; Operating (non-GAAP): 46.7 percent, up 1.0 points
  • Revenue: $23.4 billion, down 5 percent, down 3 percent adjusting for currency
  • Free cash flow of $1.7 billion, down $0.2 billion
  • Software revenue flat, up 1 percent adjusting for currency; Pre-tax: income up 4 percent; margin up 1.2 points
  • Services revenue down 4 percent, down 1 percent adjusting for currency; Pre-tax: income up 10 percent; margin up 2.0 points
  • Services backlog of $141 billion, up 1 percent, up 5 percent adjusting for currency; Closed 22 deals of more than $100 million in the quarter
  • Systems and Technology revenue down 17 percent, down 16 percent adjusting for currency
  • Growth markets revenue down 1 percent, up 1 percent adjusting for currency
  • Business analytics revenue up 7 percent; Smarter Planet revenue up more than 25 percent; Cloud revenue up more than 70 percent
  • Reiterating full-year 2013 operating (non-GAAP) EPS expectation of at least $16.70.

IBM announced first-quarter 2013 diluted earnings of $2.70 per share, a year-to-year increase of 3 percent.  Operating (non-GAAP) diluted earnings were $3.00 per share, compared with operating diluted earnings of $2.78 per share in the first quarter of 2012, an increase of 8 percent.

First-quarter net income was $3.0 billion, down 1 percent year-to-year. Operating (non-GAAP) net income was $3.4 billion compared with $3.3 billion in the first quarter of 2012, an increase of 3 percent. Total revenues for the first quarter of 2013 of $23.4 billion were down 5 percent (down 3 percent, adjusting for currency) from the first quarter of 2012. 

“In the first quarter, we grew operating net income, earnings per share and expanded operating margins but we did not achieve all of our goals in the period. Despite a solid start and good client demand we did not close a number of software and mainframe transactions that have moved into the second quarter.  The services business performed as expected with strong profit growth and significant new business in the quarter,” said Ginni Rometty, IBM chairman, president and chief executive officer.

“Looking ahead, in addition to closing those transactions, we expect to benefit from investments we are making in our growth initiatives and from the actions we are taking to improve under-performing parts of the business.  We remain confident in this model of continuous transformation and in our ability to deliver our full-year 2013 operating earnings per share expectation of at least $16.70.” 

Pre-tax income decreased 6 percent to $3.6 billion.  Pre-tax margin decreased 0.1 points to 15.4 percent.  Operating (non-GAAP) pre-tax income decreased 1 percent to $4.1 billion and pre-tax margin was 17.4 percent, up 0.8 points.

IBM’s tax rate was 15.9 percent, down 4.1 points year over year; operating (non-GAAP) tax rate was 17.3 percent, down 3.2 points compared to the year-ago period. The lower tax rate is primarily due to benefits recorded to reflect changes in tax laws enacted during the quarter, including the reinstatement of the U.S. Research and Development Tax Credit.

Net income margin increased 0.5 points to 13.0 percent.  Total operating (non-GAAP) net income margin increased 1.2 points to 14.4 percent.

The weighted-average number of diluted common shares outstanding in the first-quarter 2013 was 1.12 billion compared with 1.17 billion shares in the same period of 2012.  As of March 31, 2013, there were 1.11 billion basic common shares outstanding.

Debt, including Global Financing, totaled $33.4 billion, compared with $33.3 billion at year-end 2012.  From a management segment view, Global Financing debt totaled $25.2 billion versus $24.5 billion at year-end 2012, resulting in a debt-to-equity ratio of 7.2 to 1.  Non-global financing debt totaled $8.2 billion, a decrease of $0.6 billion since year-end 2012, resulting in a debt-to-capitalization ratio of 34.3 percent from 36.1 percent.

IBM ended the first-quarter 2013 with $12.0 billion of cash on hand and generated free cash flow of $1.7 billion, excluding Global Financing receivables, down approximately $0.2 billion year over year.  The company returned $3.5 billion to shareholders through $0.9 billion in dividends and $2.6 billion of gross share repurchases.  The balance sheet remains strong, and the company is well positioned to support the business over the long term.

Written by turbotodd

April 18, 2013 at 3:37 pm

Golf’s New Gamification

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Anybody watch that little ol’ college basketball game last night between Louisville and Michigan? 

Whoa.  Talk about saving the best for last.  “The end of the road,” indeed.

Hats off to Louisville to reaching and staying number one, especially after the first half of the final, when I thought Michigan might be running away with the show!

Now that the Final Four is over, I can give my undivided attention to my favorite sport, the game of golf.

For the longest time, golf has been a sport that has exalted in its traditions and basked in its conservatism, technological and otherwise. 

But in order to keep the sport vibrant, everyone from golfing bodies to entrepreneurs are finding new ways of introducing, bolstering, and sharing information about the sport.

Yesterday in Augusta, chairman Billy Payne inaugurated a new “Drive, Chip and Putt Championship” for youngsters ages 7-15, which will hold its first finals at Augusta National just prior to next year’s Masters.

And though we’ve seen remarkable technology evolution with regards to playing equipment on the golf course, I think we’re just getting going in terms of using data and analytics to help the amateur golfer.

I’ve been using a product called “GolfshotGPS” for some time now to help me conduct some basic analysis of my golf game, but let’s face it, having to do data entry on the golf course takes time away from playing and enjoying the scenery.

Enter “GAME GOLF,” an outfit that originated in Galway, Ireland and who are working to bring more sophisticated analytics more easily to the game of golf, and doing so in a way where we mere amateurs will be able to “compete with the likes of PGA veterans like Graeme McDowell and Lee Westwood (two pros who have done early prototype development of GAME GOLF’s technology.)

The idea is simple: Using GAME GOLF’s small wireless hub and a set of golf club “tags,” one for each club in a golfer’s bag, GAME will analyze all the critical elements of one’s golf game.  Think of it as having RFID tags on every one of your golf clubs.

GAME records every club used, every swing made, every yard covered in each round, WITHOUT pausing play to enter info into your Android device.

Then, GAME calculates key statistics: Scoring, number of putts, greens in regulation, driving accuracy, and so forth.  

But GAME doesn’t just give YOU, the golfer, data.  Golf is at its essence a competitive sport you play against yourself and others, so GAME will also share your performance with friends on social networks, and also help connect you with other golfers on GAME’s network.

I can tell you from having analyzed my own game with the limited data I’ve had access to, I’ve been able to improve my game (although improving my “mechanics” was where I saw my biggest improvement). 

Golf is an iterative game when it comes to improving, but the smallest of tweeks can have relatively big payoffs (Steve Stricker’s recent putting advice for Tiger Woods, by way of example).

If you know you’re 3 putting 60% of the holes you play…well, I hate to tell you, but you probably ought to head out right now and spend some significant time on the putting green.

But it’s the “fantasy” aspect of GAME that serves up the most intrigue for me. What if Tiger and Brent and Bubba and others also started using GAME during their Tour events, and now suddenly I and my fantasy golf friends could start competing directly with the pros in “virtual” matches.

First, yes, me and my amateur friends, we’d lose, and big time.

But, with the proper handicap adjustments, suddenly we find ourselves on the first tee at Augusta the first Thursday of April with Tiger and Phil, shaking in our boots and hoping we don’t kill someone in the fairway with our first drive.

You can learn more about GAME GOLF in the video below.  There’s currently a crowdsourcing fundraiser that has been extended to April 15th.

It’s too early to tell if this will be a golf GAME changer or not, but I think with golf, more information is always better than less.

GAME GOLF seems to provide just enough new information (without hassle in acquiring it) that has the potential to make me a better golfer, and to make the game that much more fun. 

Who can argue with that?

Written by turbotodd

April 9, 2013 at 9:09 am

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