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Pál Kerékfy
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Nincs ember. Ez ma a hazai vállalatok talán legsúlyosabb problémája. Ráadásul „sok az eszkimó – kevés a fóka”, vagyis az alkalmas jelöltekre rengeteg cég vadászik. A vágyott szakemberek – különösen a magasan kvalifikáltak, a tapasztaltabbak – dolgoznak valahol, állásban vannak, aktívan nem keresnek munkát. Ezek az úgynevezett passzív álláskeresők nem nézegetik az álláshirdetéseket, de ha egy vonzó ajánlatot kapnak esetleg felfigyelnek rá. A kérdés leginkább az, hogyan jutnak el hozzájuk ezek az ajánlatok?
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Pál Kerékfy
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Today’s workforce has become a dynamic ecosystem. Only 42 percent of this year’s survey respondents tell us that their organizations are primarily made up of salaried employees, and employers expect to dramatically increase their dependence on contract, freelance, and gig workers over the next few years. As alternative work arrangements become more common in the broader economy, HR and business leaders are rapidly trying to plan and optimize their own workforce ecosystems, pressured by the need to improve service, move faster, and find new skills.
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Pál Kerékfy
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Crowd employment is a new form of employment, defined in a 2015 Eurofound report on New forms of Employment as employment that ‘uses an online platform to enable organisations or individuals to access an indefinite and unknown group of other organisations or individuals to solve specific problems or to provide specific services or products in exchange for payment’. Crowd employment is also known as crowd sourcing or crowd work, and aims to organise the outsourcing of tasks to a large pool of online workers rather than to a single employee. Technology is essential in this new employment form, as the matching of client and worker, as well as task execution and submission, is mostly carried out online. This form of employment is based on individual tasks or projects, rather than on a continuous relationship. A larger task is divided into smaller subtasks that are relatively simple or standardised, can be done independently of the other tasks and have a specific output.
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Organizations are no longer judged only for their financial performance, or even the quality of their products or services. Rather, they are being evaluated on the basis of their impact on society at large—transforming them from business enterprises into social enterprises.
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Pál Kerékfy
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Quayside, a developing “smart city” on the southern edge of Toronto’s downtown, has been forced into an ethical debate as to how privatisation could pose a threat to individual privacy rights. Sidewalk Labs, an infrastructure division owned by Google’s parent company Alphabet, lost one of the project’s lead policy experts and privacy consultants after she was informed that third parties would be able to access the personal data of Quayside residents without a deletion or anonymisation process. “I imagined us creating a Smart City of Privacy, as opposed to a Smart City of Surveillance,” Cavoukian wrote in her resignation letter. “That’s just not on. Your personal information, your privacy is critical. It is not just a fundamental human right. It forms the foundation of our freedom.”
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Enjoy the best moments of our inaugural Hackathon showing some of the most unexpected collaborations and innovative performances, beautifully accompanied by PREM’s composition '2030'. The world-famous Abbey Road Studios, where many of The Beatles’ most popular songs were recorded, is looking to support music innovation through technology, and recently held its first hackathon event. The studio runs a musictech incubation programme called Abbey Road Red. The hackathon in November 2018 gathered 100 participants to explore new ways of using technology to create and consume music. The participants – comprised of programmers, technologists, developers and music producers – were given a number of questions to guide their creations, including “How will artists create music in 2030?” and “Can you play or create music using emotions to trigger different sounds, samples, parameters or effects?”.
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Pál Kerékfy
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Depending on how paranoid you are, this research from Stanford and Google will be either terrifying or fascinating. A machine learning agent intended to transform aerial images into street maps and back was found to be cheating by hiding information it would need later in "a nearly imperceptible, h…
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Pál Kerékfy
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The researchers started with 140,000 hours of YouTube videos of people talking in diverse situations. Then, they designed a program that created clips a few seconds long with the mouth movement for each phoneme, or word sound, annotated. The program filtered out non-English speech, nonspeaking faces, low-quality video, and video that wasn’t shot straight ahead. Then, they cropped the videos around the mouth. That yielded nearly 4000 hours of footage, including more than 127,000 English words.
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Pál Kerékfy
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1959. január 21-én számolt be az Esti Hírlap az első magyar elektronikus számítógép (korabeli szóhasználattal: „számológép”), az M-3 elkészültéről. Ez igazán kerek évforduló, a magyar informatika születésnapja. Az ünnepelt gép közel tíz évig működött, Budapesten, majd Szegeden. Valójában a gép feléledése egy hosszas (és akkor még be nem fejezett) folyamat volt. A gép akkor működött gazdaságosan, ha éjjel-nappal üzemelt. Szelezsánnak ez nem okozott problémát, szerette az éjszakai műszakot a gép mellett vagy azt is, ha reggel négy és hat között kapott gépidőt. A mágnesdobok méhecskezümmögésére lehetett a legjobban aludni – és a telex erős kopogására ébredtek, amikor egy feladat elkészült. A vezérlőpult lámpái pedig úgy villództak, mint a karácsonyi fények.
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Artificial intelligence is getting its teeth into lip reading. A project by Google’s DeepMind and the University of Oxford applied deep learning to a huge data set of BBC programmes to create a lip-reading system that leaves professionals in the dust.
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Pál Kerékfy
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A new paper from the University of Oxford (with funding from Alphabet’s DeepMind) details an artificial intelligence system, called LipNet, that watches video of a person speaking and matches text to the movement of their mouth with 93.4% accuracy. Even professional lip-readers can figure out only 20% to 60% of what a person is saying.
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There is increasing recognition that GDP measures or GDP per capita are insufficent when it comes to understanding the true economic well-being of households. That has resulted in research becoming increasingly focused on household income with a higher emphasis on income inequality. A recent OECD paper analyzed the distribution of household wealth across 28 countries. The situation is by far the worst in the United States where the richest 10 percent of households own 79 percent of the wealth. The bottom 60 percent of American households only own 2.4 percent of household wealth. The situation is the same in Europe where the inequality gap is particularly wide in some countries. In the Netherlands, 68 percent of wealth is owned by the top 10 percent of households while in Denmark, the figure is 64 percent. The OECD found that in both countries, the share of wealth held by the bottom 60 percent of households is negative, meaning that on average, they have liabilities exceeding the value of their assets.
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Pál Kerékfy
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In the recent five years, we are seeing that Chinese AI is getting to be almost as good as Silicon Valley AI. And I think Silicon Valley is not quite aware of it yet. China's advantage is in the amount of data it collects. The more data, the better the AI.
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Pál Kerékfy
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There's a lot of hype about artificial intelligence, and it's important to understand this is not general intelligence like that of a human. This system can read faces and grade papers but it has no idea why these children are in this room or what the goal of education is. A typical AI system can do one thing well, but can't adapt what it knows to any other task. So for now, it may be that calling this "intelligence," isn't very smart.
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Kai-Fu Lee, a venture capitalist who used to develop AI for Google and Microsoft, predicts that AI will automate 40 percent of the world's jobs in 15 years.
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AI is the most empowering of all technologies because it effectively makes anyone who uses it smarter. It increases the productivity of anyone who can apply it to their job.
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Sustainability and the smartphone: How to give your old device a second life The inconvenient truth of society’s growing dependence on the smartphone is a wide and damaging environmental impact that spans the entire lifecycle of a device, from cradle to grave.
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A körforgásos gazdaság koncepciója lépésről-lépésre nyerte el a jelentőségét az európai környezetpolitikában. Közel tíz év előzmény és előkészítési munka után, az Európai Bizottság 2015 decemberében mutatta be a Körforgásos Gazdaság Csomagot (Circular Economy Package - CEP). | HBH Stratégia és Fejlesztés
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Átadták a Magyarországi Vezető Informatikusok Szövetsége (VISZ) által kiírt idei Az év középiskolai digitalizációs tanári csapata pályázat díjait
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A Magyar Máltai Szeretetszolgálat Egyesület, a Magyar Nemzeti Bank részéről „Országos pénzügyi fogyasztóvédelmi hálózat kiépítésére és működtetésére” kiírt pályázaton lehetőséget kapott arra, hogy Pénzügyi Navigátor Tanácsadó Irodát létesítsen Veszprém megyében.
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Pál Kerékfy
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Our machines speak a different language now, one that even the best coders can't fully understand. If in the old view programmers were like gods, authoring the laws that govern computer systems, now they're like parents or dog trainers. And as any parent or dog owner can tell you, that is a much more mysterious relationship to find yourself in.
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Pál Kerékfy
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With machine learning, programmers don't encode computers with instructions. They train them. If you want to teach a neural network to recognize a cat, for instance, you don't tell it to look for whiskers, ears, fur, and eyes. You simply show it thousands and thousands of photos of cats, and eventually it works things out. If it keeps misclassifying foxes as cats, you don't rewrite the code. You just keep coaching it.
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Pál Kerékfy
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During the Enlightenment, Newton and Descartes inspired people to think of the universe as an elaborate clock. In the industrial age, it was a machine with pistons. (Freud's idea of psychodynamics borrowed from the thermodynamics of steam engines.) Now it's a computer. Which is, when you think about it, a fundamentally empowering idea. Because if the world is a computer, then the world can be coded.
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Pál Kerékfy
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Ma már a bankban keletkező valamennyi üzleti igény (beleértve a projekteket is) data governance validáción esik át a megvalósítást megelőzően, ami elengedhetetlen a működő data governance tevékenységhez. Az elemzés kiterjed az érintett adatok, adatkörök adatminőség-vizsgálatára is, amit szintén már az igényfelmérés szakaszában egyeztetünk az adott területekkel, illetve az adatgazdákkal. Ezzel egyrészt világosabbá válik az igény (transzparensek a referenciaadatok), másrészt az igényben megfogalmazott kontrollpontokat használhatjuk a felhasználói tesztek során, valamint később az éles rendszerekben is adatminőségi célokra. A folyamatban az informatikai terület ma már csak akkor fogad be adatigényeket, ha azok átestek a Data Office-elemzésen, mert ez előrevetíti, hogy adottak lesznek a hatékony megvalósítás és a törvényi megfelelés előfeltételei.
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Pál Kerékfy
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By creating a shift in the relationship between data collectors and data sharers, Blockchain can reorient the roles of benefactors and philanthropists, empowering the benefactors to be active participants in shaping how help is given to them. In this new and improved ecosystem where the voices of everyone is equally important and heard, we will be able to see a more genuine representation of how philanthropists are affecting change, giving us insight into how we can move forward in a more transparent and productive way.
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Curated by Pál Kerékfy
collaboration expert, CIO, mathematician, university teacher
I share my experience in collaboration, IT service management, risk & security with students and others.
My blog:
https://kerekfypal.blog
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Nem csak az a kérdés, hogy mivel lehet rávenni az embereket, hogy hozzánk jöjjenek dolgozni. Előbb el kell juttatni hozzájuk valamilyen nagyon vonzó pozitív üzenetet, ami miatt egyáltalán felmerül ez a lehetőség. Hogyan juttatjuk el hozzájuk? Jó dolog az álláshirdetés, de sok van belőle, és a passzív álláskeresők (akik nem keresnek, mert jó nekik, ahol vannak) nem is olvassák ezeket. Na, de, mit olvasnak?
Olvassák a barátaik és ismerőseik megnyilvánulásait a közösségi terekben (Facebook, LinkedIn, Twitter, …). Ha tőlük hallanak a cégről (és jót hallanak), akkor hajlamosak lehetnek elgondolkozni a váltáson.
Írnak a dolgozóink a Facebookon a cégről? Ha igen, mit és miért? Ha nem, miért nem? Lehet őket ösztönözni arra, hogy aktivizálják magukat? Igen, erről szól a közösségi toborzás. Mi az? A hivatkozott cikk röviden bemutatja.
Itt pedig még többet lehet olvasni róla: https://thriveglobal.com/stories/the-staggering-impact-of-employee-advocacy-on-content-marketing/
#employeeadvocacy #HR #job #employee