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Breaking: Frank McBrearty on verge of quitting Fine Gael

first_imgNewly elected Fine Gael county councillor Frank McBrearty is on the verge of quitting the party, according to sources close to the Raphoe man.McBrearty was elected to the Stranorlar Municipal District Authority just three days ago.The 50-year old is blaming internal pressure and claims he is being ‘bullied’ by other members of the party. He has told sources that he is seriously considering quitting the party.The source told Donegal Daily that McBrearty is also considering co-opting his wife onto the council.McBrearty was an Independent councillor but stood for Fine Gael in the latest election.The source said “Frank wanted to come in and work hard for his community and for Fine Gael. But he claims that certain sections of the party are doing their damndest to work against him. “He claims there is a personal campaign to force him out of the party and he said he simply cannot work with Fine Gael under these conditions.“He wants to quit and will make his decision shortly. He just doesn’t want to work with people who are working against him.”Breaking: Frank McBrearty on verge of quitting Fine Gael was last modified: June 1st, 2019 by StephenShare this:Click to share on Facebook (Opens in new window)Click to share on Twitter (Opens in new window)Click to share on LinkedIn (Opens in new window)Click to share on Reddit (Opens in new window)Click to share on Pocket (Opens in new window)Click to share on Telegram (Opens in new window)Click to share on WhatsApp (Opens in new window)Click to share on Skype (Opens in new window)Click to print (Opens in new window) Tags:Fine GaelFrank McBreartyquitlast_img read more

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Want to take part in Donegal’s most scenic (and fun) 5K?

first_imgWell-known Donegal couple Maria and Danny Ryan are on a mission again.It’s a mission with two aims – to help people stay active and fit and to allow them to discover the beauty of one of Donegal’s most beautiful places, Innishboffin island.The couple, along with their family, have once again organised a 5k fun run or walk on the island this Saturday. Hopefully, they’ll be blessed with some good weather and all details of the event including boat times, etc are contained in the accompanying poster.Want to take part in Donegal’s most scenic (and fun) 5K? was last modified: July 2nd, 2019 by StephenShare this:Click to share on Facebook (Opens in new window)Click to share on Twitter (Opens in new window)Click to share on LinkedIn (Opens in new window)Click to share on Reddit (Opens in new window)Click to share on Pocket (Opens in new window)Click to share on Telegram (Opens in new window)Click to share on WhatsApp (Opens in new window)Click to share on Skype (Opens in new window)Click to print (Opens in new window)last_img read more

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SA starts the 2010 countdown

first_imgNational flags flew high during celebrations marking 100 days to the 2010 Fifa World Cup. There’s no doubt that South Africans are excited about the upcoming World Cup. South Africans are ready to welcome the world with the spirit of ubuntu. An excited South African blowing a kuduzela.(Images: Bongani Nkosi) MEDIA CONTACTS • Thembelihle Radebe Media & Communications Public Liaison Department City of Johannesburg +27 11 407-7353 +27 082 377 3747 ThembelihleR@joburg.org.za • Jermaine Craig Media Manager 2010  Local Organising Committee +27 11 567 2010 +27 83 201 0121 jermaine.craig@2010oc.com RELATED ARTICLES • Media wowed by 2010 stadium tour • World Cup 2010? Yes, we can • World Cup fever hits the road • World Cup ticket sales soar • World Cup fever spreads abroad • Goodwill Balls get 2010 rollingBongani NkosiIt’s less than 100 days until the world’s biggest football spectacle kicks off on African soil, and South Africa, the host nation, is gripped by euphoria as it counts down.Photo essay: 100 days to kickoffThe country marked 100 days to the 2010 Fifa World Cup in original local vibe.  Song and dance characterised celebrations in Sandton, Johannesburg, and of course the vuvuzelas blared feverishly.The nation’s flags were hoisted high by many and the green and yellow jerseys of the South African national team signified the nation’s exhilaration.The street event in Sandton, organised by the City of Johannesburg and South Africa Tourism, coincided with other celebrations across the country. From Pretoria to Durban, the country became a hive of excitement in anticipation of the tournament.“[The excitement] is about South Africa and we’re taking it to the world,” musician Brian Temba, who was based in the UK until 2009, said from stage. A number of musicians, including Khanyo Maphumulo, Lulu Dikana, Camagwini, Watershed and many others, brought the stage alive to encapsulate the excitement of South Africans for the long-awaited event.“What an amazing day. It is 100 days to go. We will have an incredible event in South Africa,” said Lupi Ngcayisa, a producer at local radio station Metro fm.Ngcayisa, who runs a charitable campaign supplying underprivileged children with new school shoes, brought the message home to fellow South Africans that their visitors will expect nothing but ubuntu when they arrive in June. “It is up to us to ensure that the people who come here are treated with the utmost respect.”Sorina “The Flooze” Erasmus from popular local soapie 7de Laan was one of the stars of the event and got everyone hyped up about the Diski Dance, a dance style she, like many other South Africans, seems to have perfected.The City of Johannesburg used the day to send a message to the world that it’s ready to welcome them. Johannesburg is the only city in the country that will host matches in two stadiums, Ellis Park and Soccer City, and will stage 15 games including the opening match, a semi-final and the final.City employee Smokey de Clown, as he identified himself, could have easily won a prize for best dressed South African on the day. With a painted face and a strange outfit, designed from his work uniform, De Clown was a real clown, but he had an important message for tourists: “We want to show the world that Joburg is ready. Bring the world cup to Joburg.”Thanks for Football FridaysDavid Mabu is one of those colourful football fanatics who never misses a Bafana Bafana game. Mabu, a staunch Kaizer Chiefs supporter, was visibly excited as he moved and swayed with the singing crowd. “I’m the happiest fan… I’m even happy that South Africans are starting to get excited.“We’re the luckiest generation. This did not happen in our fathers’ time, but it’s happening in 2010,” said Mabu.He’s grateful for Football Fridays, the campaign spearheaded by the International Marketing Council that urges people to wear a football jersey every Friday until the World Cup kicks off. “I’m impressed by whoever created the Football Fridays concept. People are starting to buy Bafana jerseys, that will inspire the team.”Encouraging Bafana BafanaNobody doubts that the nation will get behind Bafana. The vuvuzela has become an unstoppable phenomenon and it will be blaring in support of the team. The nation will sing songs of support and the world will know that “Africa’s time has come, Ke Nako” indeed, as a local slogan goes.“We should encourage Bafana Bafana in whatever way we can,” said Benedict Majatladi from Alexandra.“We know what Bafana needs, they need power. The power inside of you can do wonders,” said singer Lulu Dikana, exhorting the national squad.The main event marking the 100 days remaining to the first match, which sees South Africa and Mexico face off, took place in Durban. Deputy President Kgalema Motlanthe, Fifa President Sepp Blatter and about 120 local and international journalists were in attendance.“South Africans are excited for a good reason,” President Jacob Zuma said at an event in the UK. “The World Cup provides an excellent opportunity to promote our country as a place of dynamism, growth and opportunity.”last_img read more

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What’s Next For Taming Big Data?

first_imgReadWrite Sponsors 3 Areas of Your Business that Need Tech Now Tags:#Big Data#enterprise#NoSQL#Taming Big Data#Virtualization Cognitive Automation is the Immediate Future of… Imagine you are walking in London and want to book a trip to New York at the last minute: You hop online to search for a hotel. The smartphone you are holding helps you find an establishment that looks appealing. You tap a few buttons to send your credit card information.Unbeknownst to you, however, there is only one available room left at this hotel for the night you need. You and and another traveler, from Brazil perhaps, are vying for the same space. That person is trying to make the reservation from a laptop at his office.Could these two transactions be handled at the exact same time?Can the hotel see a consistent view of this globally distributed data?Could the transactions be handled in a way that the hotel owner can identify where each request originated from?Could the hotel distinguish on which device the purchase was made and any other personal information required?If the two transactions were being handled by a traditional SQL database with a siloed network configuration and little ability to scale on demand or access data in real time, the short answer would be, “No.”As Jerry Chen, VP of VMware’s Cloud and Application Services noted recently: “The monolithic database of the past cannot meet the needs of modern applications.” What is needed, he added, are designs that support high-availability low-latency applications.The Influence Of Big DataYour experience with booking a room is a perfect example of how large amounts of important, fast-moving information – commonly known as Big Data – is creating problems and opportunities for customers and the companies that serve them.While modern technologies provide faster access to higher volumes of both structured and unstructured information at any time of the day, making sense of the bits and pieces of unrelated data has required a radical shift in the way we organize networks and the Internet. It’s a challenge for even seasoned IT developers and database deployers.In addition, real-world events such as the Arab Spring and the earthquake and tsunami in Japan have challenged engineers and developers to break through existing constraints and work wonders in hyperconnectivity using non-traditional methods.Historically, companies sorted customer and transactional data in neat rows and columns of databases. These databases were built and managed by Structured Query Language (SQL) and stored in isolated, or siloed, networks.But traditional, hard-disk-drive-based database products forged on SQL can no longer handle the deluge of Big Data in a timely fashion. The era of Big Data calls for new strategies and new approaches to queries.The limitations of traditional SQL-based databases have prompted a slew of innovative developments in this direction starting with NoSQL distributed database models. These types of software platforms have caught the eye of decision-makers in the financial services, e-commerce, government and R&D communities.NoSQL has the capacity to answer to their need to process Big Data sets as they happen. However, many NoSQL deployments still fail to cope with scenarios like the one detailed above because they cannot provide consistent speed or scale. Additionally, many NoSQL offerings lack maturity when dealing with data that needs to span multiple datacenters across vast distances.Other Innovations Add SupportTo keep up with the true volume and velocity of information from multiple sources, innovations in cloud computing are being paired with high-performance “in-memory” storage on database appliances created to address the obstacles of managing Big Data.While cloud-based systems have helped develop online computing and software service delivery systems, IT developers and database deployers have adopted the cloud to take advantage of the ability to scale to globally distributed marketplace. Meanwhile, the addition of solid-state memory drives to storage devices has given companies an extra layer of quickly accessible data. These configurations allow for more rapid database queries and transactions – and thus the ability to deal with much larger data sets in real time.But the raw technology is only part of the equation. No matter how powerful the exterior influences, IT developers and database deployers will always need tool sets that help them to design for their current Big Data database needs (such as our hotel booking example) as well as prepare for a future where Big Data needs to be addressed at multiple levels.The tools must be customizable and easy to use – no matter the developer’s existing training. These offerings must also be easy to manage and easy to connect with new technology trends.VMware’s GemFire and SQLFire software are designed to address just those needs of developers and deployers.GemFire is a database software product that allows for data distribution, data replication, caching and data management at the exact moment the information is needed.SQLFire is a distributed data management platform which functions and performs much like GemFire, but has a user interface and programming framework familiar to developers who are more comfortable programming in SQL interface and tools.Both GemFire and SQLFire help companies move beyond concerns with speed and scale and tackle Big Data applications head on.Image courtesy of Shutterstock.center_img Related Posts IT + Project Management: A Love Affair Massive Non-Desk Workforce is an Opportunity fo…last_img read more

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The Potential “Holy Shit” Threats Surrounding AI and ML

first_imgRelated Posts Artificial intelligence(AI) and machine learning (ML) are the most viral topics discussed in this age. It has been a big controversy among scientists today, and their benefits to humankind cannot be overemphasized. We need to watch for and understand the potential “holy shit” threats surrounding AI and ML.Who could have imagined that one day the intelligence of machine would exceed that of a human — a moment futurists call the singularity? Well, a renowned scientist (the forerunner of AI), Alan Turing, proposed in 1950 —  that a machine can be taught just like a child. Turing asked the question, “Can machines think?” Turing also explores the answers to this question and others in one of his most read thesis titled — ‘’Computing Machinery and Intelligence.” In 1955, John McCarthy invented a programming language LISP termed “artificial intelligence.” A few years later, researchers and scientists began to use computers to code, to recognize images, and to translate languages, etc. Even back in 1955 people were hoping that they’d one day make computer to speak and think.Great researchers like Hans Moravec (roboticist), Vernor Vinge (sci-fi author), and Ray Kurzweil were thinking in a broader sense. These men were considering when a machine will become capable of devising ways of achieving its goals all alone. Greats like Stephen Hawking warns that when people become unable to compete with advanced AI, “it could spell the end of the human race.”  “I would say that one of the things we ought not to do is to press full steam ahead on building superintelligence without giving thought to the potential risks. It just feels a bit daft,” said Stuart J. Russell, a professor of computer science at the University of California, Berkeley.Here are five possible dangers of implementing ML and AI and how to fix it:1.  Machine learning (ML) models can be biased — since its in the human nature.As promising as machine learning and AI technology is, its model can also be vulnerable to unintended biases. Yes, some people have the perception that ML models are unbiased when it comes to decision making. Well, they are not wrong, but they happen to forget that humans are teaching these machines —  and by nature — we aren’t perfect.Additionally, ML models can also be biased in decision-making as it wades through data. You know that feeling-biased data (incomplete data), down to the self-learning robot. Can a machine lead to a dangerous outcome? Let’s take for instance, you run a wholesale store, and you want to build a model that will understand your customers. So you build a model that is less likely to default on the purchasing power of your distinguish goods. You also have the hope of using the results of your model to reward your customer at the end of the year.So, you gather your customers buying records — those with a long history of good credit scores, and then developed a model.What if a quota of your most trusted buyers happen to run into debt with banks — and they’re unable to find their feet on time? Of course, their purchasing power will plummet; so, what happens to your model? Certainly it won’t be able to predict the unforeseen rate at which your customers will default. Technically, if you then decide to work with its output result at year end, you’ll be working with biased data.Note: Data is a susceptible element when it comes to machine learning, and to overcome data bias — hire experts that will carefully manage this data for you. Also note that no one but you was looking for this data — but now your unsuspecting customer has a record — and you are holding the “smoking gun” so to speak.  These experts should be ready to honestly question whatever notion that exists in the data accumulation processes; and since this a delicate process, they should also be willing to actively look for ways of how those biases might manifest themselves in data. But look what type of data and record you have created.2. Fixed model pattern.In cognitive technology, this is one of the risks that shouldn’t be ignored when developing a model. Unfortunately, most of the developed models, especially those designed for investment strategy, are the victim of this risk.Imagine spending several months developing a model for your investment. After several trials, you still got an “accurate output.” When you try your model with “real world inputs” (data), it gives you a worthless result.Why is it so? This is because the model lacks variability. This model is built using a specific set of data. It only works perfectly with the data with which it was designed.For this reason, safety conscious AI and ML developers should learn to manage this risk while developing any algorithmic models in the future. By inputting all forms of data variability that they can find, e.g., demo-graphical data sets [yet, that is not all the data.]3. Erroneous interpretation of output data could be a barrier.Erroneous interpretation of data output is another risk machine learning might face in the future. Imagine after you’ve worked so hard to achieve good data, you then do everything right to develop a machine. You decided to share your output result with another party — perhaps your boss for review. After everything — your boss’ interpretation is not even close to your own view. He has a different thought process — and therefore a different bias than you do. You feel lousy thinking how much effort you gave for the success. This scenario happens all the time. That’s why every data scientist should not just be useful in building modeling, but also in understanding and correctly interpreting “every bit” of output result from any designed model. In machine learning, there’s no room for mistakes and assumptions — it just has to be as perfect as possible. If we don’t consider every single angle and possibility, we risk this technology harming humankind.Note: Misinterpretation of any information released from the machine could spell doom for the company. Therefore, data scientists, researchers, and whoever involved shouldn’t be ignorant of this aspect. Their intentions towards developing a machine learning model should be positive, not the other way round.4. AI and ML are still not wholly understood by science.In a real sense, many scientists are still trying to understand what AI and ML are all about fully. While both are still finding their feet in the emerging market, many researchers and data scientists are still digging to know more.With this inconclusive understanding of AI and ML, many people are still scared because they believe that there are still some unknown risks yet to be known. Even big tech companies like Google, Microsoft are still not perfect yet. Tay Ai, an artificial intelligent ChatterBot, was released on the 23 March 2016, by Microsoft Corporation. It was released through twitter to interact with Twitter users — but unfortunately, it was deemed to be a racist. It was shut down within 24 hours.Facebook also found that their chatbots deviated from the original script and started to communicate in a new language it created itself. Interestingly, humans can’t understand this newly created language. Weird, right? Still not fixed — read the fine print. Note: To solve this “existential threat,” scientists and researchers need to understand what AI and ML are. Also, they must also test, test, and test the effectiveness of the machine operational mode before it’s officially released to the public.5. It’s a manipulative immortal dictator.A machine continues forever — and that’s another potential danger that shouldn’t be ignored. AI and ML robots cannot die like a human being. They’re immortal. Once they’re trained to do some tasks, they continue to perform and often without oversight.If artificial intelligence and machine learning properties are not adequately managed or monitored — they can develop into an independent killer machine. Of course, this technology might be beneficial to the military — but what will happen to the innocent citizens if the robot cannot differentiate between enemies and innocent citizens?This model of machines is very manipulative. They learn our fears, dislike and likes, and can use this data against us. Note: AI creators must be ready to take full responsibility by making sure that this risk is considered while designing any algorithmic model.Conclusion: Machine learning is no doubt one of the world most technical capabilities with promising real-world business value — especially when merged with big data technology.  As promising it might look — we shouldn’t neglect the fact that it requires careful planning to suitably avoid the above potential threats: data biases, fixed model pattern, erroneous interpretation, uncertainties, and manipulative immortal dictator. Entrepreneur and Online Marketing Consultant, Ejiofor Francis is the Founder of EffectiveMarketingIdeas. He’s highly enthusiastic about all things business, IT and blockchain technology, and he shares informative resources to help businesses and consumers stay informed, safer, and smarter online. Want to say hi? Shoot him an email at francis@effectivemarketingideas.com What it Takes to Build a Highly Secure FinTech … How Data Analytics Can Save Lives AI: How it’s Impacting Surveillance Data Storage Ejiofor FrancisDigital Marketer, Blogger, IT/Technology Copywriter Leveraging Big Data that Data Websites Should T… Tags:#AI#AI Machine Learning#AI risks#data science#design models last_img read more