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For highway information, monitor social media sites: www.Facebook.com/INDOTSoutheast and Twitter @INDOTSoutheast. Verify travel plans at TrafficWise: http://www.trafficwise.in.gov. INDOT’s proposed project would widen S.R. 60 and the bridge spanning Elk Run between the two St. Joe Road intersections. It includes right and left turn lanes on S.R. 60 and at both legs of S.R. Joe Road. The intent is to greatly improve through-traffic flow between the intersections. The Indiana Department of Transportation will conduct a public hearing for proposed State Road 60 intersection improvements at East St. Joe Road and West St. Joe Road— on Wednesday, Feb. 18, at 6 p.m. in Silver Creek High School’s cafeteria. Attendees should enter Door A. The school is located at 557 Renz Avenue in Sellersburg. Documents and preliminary plans can be viewed at: Wednesday’s public hearing allows interested persons to make on-the-record comments about preliminary design plans and express concerns they may have about the S.R. 60 project. Verbal statements will be recorded and written comments collected for consideration before development of final engineering plans move forward. Written comments may also be submitted for up to two weeks after the hearing. They should be addressed to: Public Hearings, Indiana Government Center North, Room N642, 100 N. Senate Ave., Indianapolis, IN 46204. Hearings Examiner, Room N642, Indiana Government Center North, 100 North Senate Avenue, Indianapolis.Planning & Programming Department, Indiana Department of Transportation Seymour District office, 185 Agrico Lane, Seymour.Charlestown Clark County Library, Sellersburg Branch, 430 North Indiana Avenue, Sellersburg.
Here is a summary of the week’s Web Tech action on Read/WriteWeb. For those of you reading this via our website, note that you can subscribe to the Weekly Wrapups, either via the special RSS feed or by email.Web News This week the Facebook Beacon saga came to an end, after the company added a global opt-out to their controversial advertising system, and CEO Mark Zuckerberg apologized for the way they’d handled the rollout. Earlier in the week Facebook’s stance was:We Don’t Collect Info Unless You Opt-In, but by the end of the week it was clear that a global opt-out was the only thing that was going to make the controversy go away.See also Alex Iskold’s in-depth analysis of Facebook and The Myth Of Contextual Advertising, for a critical look at Beacon.In other Facebook news, Facebook apps hit 10k in number – so the web app platform is still going strong, even if the advertising platform is a mess.OpenID 2.0 finally launched this week, after what Marshall Kirkpatrick recently described as “a long, long time of political infighting over either semi-relevant minutea or deal-breaking technical details.” The new version improves security and usability — and will hopefully be the catalyst for more Internet companies to adopt it.A week doesn’t go by these days without some Google news. This week we heard that JotSpot will spawn Google Sites, an intranet and extranet site building tool. Also Compete provided data that showed Google Docs as clear leader in the Web Office market. Finally, Google announced that GMail is adding AIM.In other news this week:Online Ad Spend to Jump in 2008 Thanks to Sports, PoliticsWikipedia to Pay Illustrators3.3 Billion Mobile Phone Subscriptions; 35% of US Tweens Own a Mobile phoneAdobe Debuts Flash Media Server 3 – Slashes PriceUS Congress: Wifi Providers Must Report Dirty Pictures to GovernmentMingleNow to Close 7 January – Forced By Yahoo?Internet to Invade the AirwaysBlog Council Launches, Fumbles on Day OneMicrosoft Advances XBRL Data Standard in the US, Paving Way for Big Innovation In Financial AnalysisWeb ProductsFluc: Put Your Mobile Phone to Work For You Australian startup Fluc is an innovative new mobile advertising network that not only lets publishers monetize their content, but also lets mobile users opt-in to be paid to recieve targeted SMS-based advertisements.Meebo + Platform + VideoEgg Ads Suddenly Makes Business SenseIn a move further differentiating themselves from countless other platform plays, web-IM service Meebo announced this week that they have partnered with VideoEgg to offer Meebo platform participants a 50/50 revenue split from the high-profile video and overlay ad network. While other platforms take a hands-off approach to partner advertising, Meebo is delivering it themselves.BookSwim is Netflix for BooksBookSwim is essentially a Netflix-like rental by mail program for books. You sign up, choose the books you want, they get mailed, you send them back when you’re done and get the next book on your list. Josh Catone had trouble grasping what makes the service useful to the average reader. It may be, however, that the service isn’t useful to the average reader.Other Web products reviewed this week:Recommendation Engine MyStrands Expands War Chest to $55m to Go Beyond MusicMixx, a Gorgeous Digg Competitor, Gets in Bed With LA TimesGroceryGuide Saves You Money on FoodSourceForge.net Launches Open Source Services MarketplaceFacebook not for You? Multiply.com’s Upgrade Looks GreatAnalysisWeb Office: 2007 Year in Review Why Tech Companies Need Simpler Terms of Servic… Tags:#web#Weekly Wrap-ups Top Reasons to Go With Managed WordPress Hosting richard macmanus Other analysis posts:Commercials As Content – 7 Places to Watch Ads On PurposeThe Digg EffectR/WW Network Blogslast100 The big story on our Digital Lifestyle blog last100 this week was Nokia and Universal’s announcement of “Comes With Music” devices . Announced at the annual Nokia World conference, “Comes With Music” will enable customers to buy a Nokia device with a year of unlimited access to “millions of tracks”, and, rather surprisingly, get to keep those tracks once the twelve month period ends. Of the four major labels, however, Universal Music is the only one to have signed on. In a follow up post, last100 editor Steve O’Hear noted that “Comes With Music” service will employ Windows DRM. Alt Search EnginesThis week on AltSearchEngines, editor Charles Knight announced The Alternative Search Engine of the Year, 2007. He had narrowed down his popular Top 100 list to 10 finalists, and the winner was…. Quintura! In Charles’ view, Quintura has demonstrated it will “‘rock and shock’ the Search world and alter the staus quo.”Also this week Charles reported live from SES Chicago. Some highlights:Transformaton of Local in a Search-Driven WorldNet Neutraity: “Won’t be fooled again!”Personalization, User Data & SearchRead/WriteTalkThis week Sean Ammirati of Read/WriteTalk stopped by Yahoo’s Brickhouse and bumped into some Irish entrepreneurs, who were touring Silicon Valley. In the resulting interview, Sean noted that it was “a good reminder how far the US has to go, [after] hearing their reflections on how bad broadband and mobile communications are here.”PollThis week Technorati launched a re-design, including a news aggregator frontpage nickamed ‘the Percolator’. We asked RWW readers: Is the Technorati Percolator Useful as a News Aggregator?. The results:Yes, I will use it daily 11% Yes, but only every few days 11%Meh, maybe I’ll check every week or so 5% No, this isn’t useful as a news aggregator 35%Percolator? Isn’t that a coffee maker? 39% The ‘WTF’ option got the most votes, indicating that most people didn’t like (or get?) the percolator concept. But overall, it seems most respondents won’t use Technorati as their daily news aggregator. However Technorati is obviously still a very useful as a place to go for blogosphere links and data.That’s a wrap for another week! Enjoy your weekend everyone. Over the next few weeks we’ll be reviewing a number of Web product categories on Read/WriteWeb, summarizing what’s happened in 2007 – and what to look forward to in 2008. We started with the Web Office, a market that underwent a lot of changes this year. Probably the biggest change was that Google Apps ramped up this year, starting with the release of Google Apps Premier in February. And 2007 continued the trend of acquisitions in this market, which started in 2006 with the likes of Writely and JotSpot. In 2007 Yahoo acquired Zimbra and Google acquired a number of small startups – including GrandCentral (online telephony service) and Zenter (presentations software). Check out the full article for all you need to know about Web Office in 2007.2008 Will Be The Year of Business Networking In this post Bernard Lunn delivered three reasons for the above prediction, plus six specific predictions and one interesting dark horse. One of the predictions was that there will be a globalization roll-up. There are business networks in Germany (Xing) and France (Viadeo) where LinkedIn does not play well, for simple language reasons. The same may be true in other non-English speaking markets – and if not, the land grab is still open folks! 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For Self-Driving Systems, Infrastructure and In… Tags:#Apple#Autonomous car#BlackBerry#connected car#iCar#Internet of Things#IoT#Lyft#QNX#Self-Driving#Uber Break the Mold with Real-World Logistics AI and… IT Trends of the Future That Are Worth Paying A… Inside Apple’s secretive car division, the focus is starting to shift from building an all-electric, autonomous car to developing software and services that would work inside the prospective car, according to people familiar with the iPhone maker’s plans.In a Bloomberg report, Mark Gurman states that the company has “increased emphasis on developing self-driving technology” and hired several automotive software developers from BlackBerry.See Also: Apple Watch sales more than halved so far this summerDan Dodge, the founder of QNX—the operating system used by BlackBerry in its smartphones prior to the Priv—is one of the new employees reportedly working on car infotainment services.QNX is used primarily in automotives for Volkswagen, Daimler, and Ford nowadays, making the pickup of Dodge all the more intriguing.To make it more obvious that Apple is on the hunt for automotive software developers, it recently opened a research and development center in Kanata, Ontario, home to some of BlackBerry’s R&D facilities.Apple not totally giving up on hardwareApple is not giving up fully on the goal of hardware, software, and services all under one roof, but the lack of focus has caused talent to leave and upper-management disagreement.To that end, Apple veteran Bob Mansfield has been brought in to try and re-focus the team. Mansfield reports directly to CEO Tim Cook, unlike his predecessor Steve Zadesky, showing the growing importance at the company that the autonomous car is a success.Apple still has 2020 as the date for completion, but growing competition from Tesla, Uber, and Google, alongside previous dormant automakers starting to enter the market, may force Apple to speed up its development and reveal early previews of its tech.Then again, the autonomous market is still very fragmented with Google not providing any commercial strategy and Uber, General Motors, and Ford only just starting to get to grips with what an autonomous future means for transport and ownership.Apple may wait for a more cohesive vision on what the future of automotive means before publicly revealing its hand. That way, it won’t be labelled a failure if consumers heavily reject loaning or ridesharing arrangements that Uber, Lyft, and Google attempt to launch. David Curry Related Posts 5 Ways IoT can Help to Reduce Automatic Vehicle…
At ManageFusion Orlando and in The Hague, we did a hands-on lab which combined Intel vPro System Defense capabilities, customized network filter from Altiris, and Altiris Software Delivery to securely update a client(summary available at http://juice.altiris.com/node/5721)One of the attendees pointed out the following real-world challenge: They are migrating from one security solution to another. This will temporarily expose their client systems to attacks. With the capability to do secure updates – as noted in the lab – they are much better positioned to do to the migration for vPro\AMT enabled systems.If you’re unsure what 5 minutes “in the open” can do to unsecure client – read the following news article entitled “Malicious ‘botnets’ turn PCs into ‘zombie’ slaves” – http://www.oregonlive.com/business/oregonian/index.ssf?/base/business/1224564910237820.xml&coll=7 Another attendee provided more reference to how they could use this. A classic “chicken/egg” problem – if a client is out of compliance or infected, it must be patched. The patch solution is on the production network, yet corporate policy states systems out of compliance are placed on an isolated or remediated network. So – how do you patch a client to which the production software delivery server cannot connect? Sneaker-net shouldn’t be the answer… especially when the target client system is far outside the building you’re in.The key to remember about this use case – the System Defense filters must allow communications on the software delivery network ports. The Altiris Juice article above provides references on this is done in a Symantec\Altiris environment
Artificial Intelligence (AI) is a hot IT topic today, producing new and exciting results in academic research areas and across real-world deployments. So how do enterprises create value by implementing AI solutions? Many organizations are struggling to take the first step because the journey seems long and complicated. It doesn’t have to be. With some forethought, planning and good practices, you can implement a solution that will help you stay ahead of your competition without draining your expense budget.Building production-ready AI models and solutions brings unique challenges during the development and operation lifecycles. The solutions need to run effectively and predictably for a long period of time, with simplified update procedures when new data becomes available. Additionally, they need to play well with your software stacks of other applications.There are many approaches to incorporating AI technology in your business, from choosing automation tools built on AI technology to building a Data Science practice within your organization, and any mix in-between.By incorporating customized AI solutions, leveraging Machine Learning (ML) and Deep Learning (DL) models in your applications and business processes, you can improve efficiencies and data driven decisions within your organization. We’ll take you through how many organizations today are getting started with AI by combing software development processes with ML and DL models in a consistent application platform.Like any other business endeavor, starting with a solid plan is key to success. To help you start building a plan, we’ll take a look at a typical AI lifecycle from managing the datasets and the multiple stages of training, to deployment and integration into the application environment.Before You Get StartedHere are some key questions to ask yourself:Have we implemented a big data solution in the past or do I have access to large amounts of structured or unstructured data?What skill sets do we have as it relates to AI? Take inventory of your internal skill sets and consider the scope of what you can manage with internal talent. You may consider contracting some technical skills to business partners or bringing on additional internal talent with the appropriate skills needed to be successful.Does your use case involve a specific business unit? If so, you will need subject matter experts (SMEs) from the business unit committed to the initiative, as well as AI experts to architect and develop your AI solutions.Need to know more about what skills you may need? A good AI partner should be able to provide guidance based on the scope of your projects. Do we have budget and buy-in? Every worthwhile investment will have some initial cost. Ensure the projected cost fits within your available budget. Having executive and stakeholder buy-in is key for any initiative to be successful, and AI is no different. If you’re working on an AI project that involves a specific business unit, you will need buy-in from all the stakeholders from the business unit as well.Typical Stages in the AI JourneyChoosing the Right Use CaseChoosing the right use case for an AI application is critical to quickly prove the value to your stakeholders. It’s important to choose a Proof-of-Concept (PoC) or project that can rapidly deliver business value and has few roadblocks to implementation. The three determining factors used to evaluate use cases for fastest business impact are:Data Availability. Any AI application will only be as good as data used for training it. In the enterprise environment, data can be more important than the algorithms. Gathering and organizing a new collection of data can be a long and labor-intensive task. A project with readily available data, or easily collectable from existing processes, can save several months in the data preparation phase.Clean Data. After “Data Scientist”, “Clean Data” may be the second most common term that AI has added to the IT vernacular. Clean data refers to the accuracy and completeness of the dataset you’re working with. Imagine a use case in which you’re using customer data to predict which customers will be interested in a specific product. For an accurate prediction, it will require that all of your customer information is complete and up-to-date. By spot checking a few accounts in your Customer Relationship Management (CRM) database, you may start to get a sense of the cleanliness of your dataset and, for most organizations, a better sense of the health of your data. Dirty data simply means that the data is too unstructured, contains too many errors, or is incomplete and will not produce accurate results when used in model training. “Data Wrangling” is the term used for the process of analyzing and evaluating which data stays, which data gets cleaned up, and which data gets tossed out .Existing Technology. In order to deliver value in a short period of time, try to leverage already tested approaches that run well on your current technology. In many cases, you may have existing infrastructure to leverage for your PoC, but if you’re lacking the infrastructure to get started, there are plenty of options for you. Your hardware vendor may even provide access to infrastructure at no cost for an initial PoC. Everybody wants to work with cutting-edge technology and use the latest and greatest solutions, but wait for a later iteration when you have more resources and buy-in. You’ll save time and effort that can be used elsewhere.What criteria should be used to select an initial AI PoC?Time Saving Potential: The best candidate is a simple task that is executed multiple times across the organization. For example, answering simple questions in a call center, filling expense reports for internal employees, etc….Data Intensive Tasks: Look for tasks which rely more on data versus experience or intuition. AI can better execute tasks which have clearly specified data inputs.Monotonous Tasks: There are tasks which are not possible due to costs or diminishing effectiveness of people doing it. A common example is a worker visually inspecting every part entering a factory for flaws. AI will never grow tired of monotonous tasks and will deliver consistent results, improving the overall quality and consistency of the end product.Scalability: The AI application is usually high initial investment, with low operational cost. The best task to start with is the one which can be implemented once, and run multiple times to spread the initial investment across multiple tasks or departments.The right use case is critical to the success of the PoC. Remember to pick one that will deliver results quickly. In order to do that, the project must have readily available, clean data that requires little data wrangling and can run on your existing infrastructure. Try to target tasks that are repetitive, require only data to accomplish, not experience, and are difficult for people to do for any length of time. If the task is repeated across multiple departments, spreading the initial cost becomes easier.Collect Your DataMany AI algorithms being developed today are based on supervised learning and require a significant amount of data wrangling and pre-processing to ensure model accuracy. In supervised learning , the model is trained with labeled data, mapping a specific input with the expected output. For example, if you take a dataset of images of various vehicles, label all car images in your training, and, with proper tuning and enough data, you should be able to predict whether a new image is of a car or not. This of course requires clean and properly labeled data, which can be the most time-consuming stages in developing an AI model. For unsupervised learning, we do not have the data labeled for an expected outcome and the model is tasked to find patterns in the data.Once you have selected your use case and collected your data, you will need to organize, clean, and process your data. For supervised learning models, your training data will need to be labeled, which can be a time consuming task for your data wranglersProving Your Use Case (Pilot)Next, you will work through model development where your data scientist will build and test multiple models to identify the appropriate data science methodology that provides the highest level of accuracy. Once your data scientist has identified the appropriate model, they will perform hyper-parameter tuning to achieve the highest level of accuracy possible.There are a broad range of tools supporting this process, spanning from open-source machine and deep learning frameworks like Spark* ML, sk-learn*, Keras*, TensorFlow*, CNTK*, or BigDL to specialized training platforms like LICO* from Lenovo.Typically, it’s best to start with small chunks of data for initial model development. Once the accuracy of the model reaches an acceptable level, you can increase the amount of data you’re working with which will, in turn, increase the accuracy of the model. Of course, these larger iterations will require greater processing power, storage, and run times.ImplementImplementing AI into a production environment can be as challenging as the development process. AI inference may require changing business processes or modifying existing applications. The scope of operationalizing an AI model can be affected by the complexity of the use-case.To implement the inference of your AI model, it could be as simple as incorporating it into your BI tool for predictive or prescriptive use cases, or as complex as modifying your DevOps process to incorporate it into your business applications. With your first PoC, start small with a light application or plugin to an existing tool.OperationalizeThe work is not over after the solution is implemented and running in a production environment. To improve the accuracy of your AI application, you may need to re-train your model. AI applications generate new data which can be used for additional training to improve accuracy. Also, changes in your environment (new customers, new products, etc…) may require modifications of the model to ensure accuracy.In an ideal lifecycle, a fully automated pipeline, from data generation to deployment, is ideal, but may not be feasible. It’s important to find the right level of automation in your AI deployment that ensures the best accuracy for your model, without being cost prohibitive. This may require changes in your DevOps process to ensure you’re getting the best value from your AI models.Is it Time to Get Started with AI?Once you have completed a successful PoC, it’s time to get serious about your AI strategy. Keep in mind, your competitors are looking at AI technology today to increase efficiency, reduce cost, and, ultimately, become more competitive in the marketplace.Things to ConsiderConsider working with a technology partner that can provide end-to-end solutions from the edge to the data center, providing hardware, software and (most importantly) expertise to help you get started.At Lenovo, we’re taking a prescriptive approach to AI and working with clients to build solutions that address their unique business goals. We have expertise in Big Data, AI, and IoT, realizing the dependencies of AI technology within the data center. We provide access to AI Innovation Centers for our clients to experience the power of AI and build initial PoCs prior to investing in new infrastructure. We have made significant investments in developing new software platforms to accelerate AI development and provide AI consultants to assist customers along the journey. By partnering with leading technology providers, such as Intel and select business partners that have deep industry and AI expertise, we’re providing holistic solutions for our clients. Learn more at lenovo.com/AI.Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer.
Top seed Meralco comes back to beat Star in semis opener LATEST STORIES Trump to designate Mexican drug cartels as terrorist groups Esports would also mean the IOC allowing private companies to set the rules of its competitions.Most traditional sports treat the rules with reverence, only occasionally tinkering around the edges. Not so for games publishers, who routinely mix things up to attract new players and keep things fresh.Adding just one new character can reshape the whole “meta” — the game’s constantly evolving web of tactics and counter-tactics.Senior figures in the IOC and the esports world have publicly doubted esports will be ready for an Olympic debut in seven years’ time.“We are still some way away from our vision and we need to start on the right foot,” Asian Esports Federation president Kenneth Fok said last week. “For esports to develop in a positive banner, we need the full support of each and every NOC, their government, and more importantly the general public to have a positive perception of electronic sports.”Sports Related Videospowered by AdSparcRead Next Ethel Booba on hotel’s clarification that ‘kikiam’ is ‘chicken sausage’: ‘Kung di pa pansinin, baka isipin nila ok lang’ Argentine bishop appears at court hearing on abuse charges Jordan delivers on promise: 2 Cobra choppers now in PH MOST READ Don’t miss out on the latest news and information. In this photo, taken on Tuesday, Sept. 26, 2017, an esports competitor takes part in the Asian Indoor and Martial Arts Games in Ashgabat, Turkmenistan. Including competitive computer games, known as esports, could give the Olympics a younger audience and a huge revenue boost from a rapidly growing market, but would be deeply controversial. (Photo by DAVID ALIAGA / LAUREL Photo Services via AP)ASHGABAT, Turkmenistan — The future of the Olympics may just be in a basement in Turkmenistan.With leading Olympic figures considering a possible role for competitive computer games – known as esports – at the 2024 Games in Paris, a pan-Asian competition in the ex-Soviet state offers a possible vision of the future.ADVERTISEMENT No more menthol cigarettes: New ban on tobacco, vape flavors Winter storm threatens to scramble Thanksgiving travel plans Esports aren’t a natural fit for Turkmenistan, one of the poorer ex-Soviet nations, though one where internet access is growing rapidly.The rules weren’t explained in the local language, but that didn’t turn off the crowd of up to 200 in the windowless basement of a sports arena from cheering and whooping at a particularly spectacular kill or skillful strategy.Still, the attendance was tiny compared to big pro esports events, which can pack thousands into traditional sports arenas, and it didn’t make much of a splash online. Fewer than 50 viewers at a time watched some opening-round matches Monday on Twitch, a leading game streaming service that regularly attracts tens of thousands of concurrent viewers to its more popular streams.If esports make it to the Paris Olympics, it would redefine what Olympic sport is meant to be.The International Olympic Committee has previously resisted calls to add “mind sports” like chess that don’t involve physical exertion, or events where machines are key, like auto racing.ADVERTISEMENT Hotel says PH coach apologized for ‘kikiam for breakfast’ claim ‘A complete lie:’ Drilon refutes ‘blabbermouth’ Salo’s claims Deciding which games to pick is fraught, too. The IOC has a sponsorship deal with Chinese company Alibaba, which has major esports interests, but rival firms have their own popular brands.The IOC also fears violent games would hurt the Olympics’ image.IOC president Thomas Bach told the South China Morning Post, an Alibaba-owned newspaper, earlier this month that he’d prefer sports simulations.“We want to promote non-discrimination, non-violence, and peace among people. This doesn’t match with video games, which are about violence, explosions and killing. And there we have to draw a clear line,” he said.All four of the games on the program this week in Turkmenistan featured some form of combat, though in fantasy settings with cartoon-style animation techniques. There weren’t any realistic military-themed shooting games on the program.Bach also said esports needs a firmer structure. The IOC is used to dealing with a single governing body for each sport, like FIFA for soccer or the International Gymnastics Federation. Esports has its own international federation, but with limited influence over a web of private interests including games publishers, competition organizers and players’ teams.The event in Turkmenistan showed how that system doesn’t yet fit smoothly with the Olympic movement.IOC sponsor Alibaba’s Alisports division was in charge of the event, and used an open online qualifying system.That prompted federations from Australia and South Korea to boycott, saying athletes should have been picked by their national Olympic committees in the manner of a traditional sport.If esports make it to the Olympics, other potential problems for the IOC include criticism it’s moving away from promoting a healthy lifestyle, and that it’s ignoring poorer countries where fast computers and brand-new games are unaffordable. Including esports could give the Olympics a younger audience and a huge revenue boost from a rapidly growing market, but would be deeply controversial.The Olympic Council of Asia included esports as an official demonstration event at its Asian Indoor and Martial Arts Games this week, with teams from China and nine other nations battling in four games ranging from space combat in “StarCraft II” to card-game strategy in “Hearthstone.”FEATURED STORIESSPORTSSEA Games: Biñan football stadium stands out in preparedness, completionSPORTSPrivate companies step in to help SEA Games hostingSPORTSBoxers Pacquiao, Petecio torchbearers for SEA Games openingSupporters of esports in the Olympics say their event is a real sporting contest, one which prizes strategy and lightning reactions over physical agility.“It needs different skillsets from different people,” competitor Jess Joaustine Tamboboy from the Philippines told The Associated Press. “It doesn’t really have a physical requirement because you can see around us the players are short and tall, maybe a little bit thin, maybe a little bit fat. But all they have in order to qualify to play for these types of titles are just their cognitive or mind skills.” Robredo: True leaders perform well despite having ‘uninspiring’ boss PLAY LIST 02:49Robredo: True leaders perform well despite having ‘uninspiring’ boss02:42PH underwater hockey team aims to make waves in SEA Games01:44Philippines marks anniversary of massacre with calls for justice01:19Fire erupts in Barangay Tatalon in Quezon City01:07Trump talks impeachment while meeting NCAA athletes02:49World-class track facilities installed at NCC for SEA Games View comments
Don’t forget to share this post! AddThis Sharing ButtonsShare to TwitterTwitterShare to FacebookFacebookShare to Email AppEmail AppShare to LinkedInLinkedInShare to MessengerMessengerShare to SlackSlack Topics: Originally published Apr 29, 2009 8:06:00 AM, updated October 01 2019 Social Media Webinar: Marketing in a RecessionWant to learn effective ways for generating leads and marketing in a economic downturn?Download the free webinar for tips and tricks to drive more visitors and leads to your website! A main criticism of social media is that it’s impossible to measure its impact. Not so, says KD Paine, author of the new book “Measuring Public Relationships.” Paine has made a career of social media measurement; in addition to her recent book, she is also the founder and CEO of KD Paine & Partners LLC and writes her own blog, PR Measurement.Recently, HubSpot’s Rick Burnes caught up with Paine. He spoke with her about today’s marketplace, ways to form relationships with stakeholders and some current success stories.On Ford’s Social Media Success From the video above: “They say, ‘Ford is not like the other three,’ and because they’re not like the other three, that’s why they’re selling cars. That’s their key message, and you can track that through social media.”On Measuring Reputations From the video above: “All those things [like reputation] are intangible, but you can make them very measurable.”On Measurement PrioritiesFrom the video above: “Figure out what’s not working; don’t try to justify your existence.”Check out the full conversation here (we apologize for some scratchy audio during the conversation):
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