Adobe announces general availability of CDP, updates to Experience Platform for improved personalization

first_imgAdobe announces general availability of CDP, updates to Experience Platform for improved personalizationYou are here: Adobe has announced the general availability of real-time customer data platform (CDP) features, new governance capabilities and new cross-channel personalization methods. These updates to Adobe Experience Platform will allow users to pull together customer data from across the enterprise in real-time. Why we should careDelivering a consistent customer experience across all touchpoints and interactions can be a challenging feat for marketers working with fragmented data and complicated governance structures. Marketers know that they need to establish a single view of each customer, but many brands struggle to leverage that view to deliver advantageous experiences.“Customer experience is the new battleground for business. Brands must close the gap between the customer, channels they live and the experience they expect,” said Suresh Vittal, vice president of Adobe Experience Cloud. “Adobe Experience Platform is built to give brands the ability to have a single view of each customer, without the pain of decoding complex interactions across digital and physical touchpoints.”More on the newsAdditional updates to the Adobe Experience Platforminclude:Real-time personalization at scale. Brands can leverage Adobe’s Real-Time CDP to join known and unknown customer data to activate customer profiles across channels.Adobe seeks to help bridge the gap between marketing and IT teams to bring together disparate data sets and achieve a holistic customer view.Photoshop-inspired analytics: Also now generally available, Customer Journey Analytics brings a set of analytics tools to the omnichannel data in Adobe Experience Platform.Adobe Sensei, AI and machine learning technology can be used to automate heavy analysis and for predictive modeling.The post Adobe announces general availability of CDP, updates to Experience Platform for improved personalization appeared first on Marketing Land.From our sponsors: Adobe announces general availability of CDP, updates to Experience Platform for improved personalization Posted on 15th November 2019Digital Marketing FacebookshareTwittertweetGoogle+share HomeDigital MarketingAdobe announces general availability of CDP, updates to Experience Platform for improved personalization Related postsThe California Consumer Privacy Act goes live in a few short weeks — Are you ready?14th December 2019Lytics now integrates with Google Marketing Platform to enable customer data-informed campaigns14th December 2019ML 2019121313th December 2019Global email benchmark report finds email isn’t dead – it’s essential13th December 20192019 benchmark report: brand vs. non-brand traffic in Google Shopping12th December 2019Keep your LinkedIn advertising strategy focused in 202012th December 2019last_img read more

CPS board considers extension for Supt. Stiepleman

first_imgThe Columbia Public Schools board on Monday night was set to consider a contract extension and a raise for Superintendent Peter Stiepleman.The new deal would give him more money starting in July, and keep him with the district through the 2021-22 school year.Stiepleman has been Columbia’s superintendent since July 1, 2014.last_img

Bounties on Security Software Bugs

first_imgGoogle is the latest major player to establish a financial reward bounty for reporting software bugs in their products.  Opinions differ on paying outsiders for vulnerabilities in such a manner, but for the record, I fully support the idea!I think these programs support security objectives on a number of fronts.  It brings to bear more resources to find the vulnerabilities, leverages positive aspects of greed to accelerate the process, and targets the motivations of potential attackers to undermine their destructive activities.Bounty programs tap extended resources to identify bugs in a constructive and competitive manner.  Even though Google likely has a very proficient security design team, they still will miss vulnerabilities that external researchers may find.  A financial incentive can direct more volunteers to the effort. Reward initiatives leverage the ‘greed’ of potentially competing attackers and researchers.  Greed can be good.  In this case it creates competition among researchers and against attackers.  Researchers will strive to be the first to report a bug.  It accelerates the process of finding and closing vulnerabilities before an attacker can take advantage.  In doing so, pressure is put against attackers who are looking to exploit a new bug.Bounties directly target the motivations and objectives of attackers.  For threat agents who are motivated by financial gain but are not set on doing harm, this provides an opportunity to leverage their hacking skills without crossing moral boundaries or be at risk of criminal prosecution.  These programs will also appeal to those seeking personal fame.  Positive recognition and validation by the software vendor is something which builds reputation and looks very good on a resume.Lastly, I suspect such enticements may also lead to conflicts within the internal dynamics of attacker groups.  Weak members, who may feel slighted or undercompensated, may choose to go behind their cohorts to directly benefit from newly discovered exploits by reporting it themselves.  There is no honor among thieves.  The potential of driving a wedge between members will give pause to organized groups of attackers and force them to limit who they involve and manage their own internal security.  In a small way it turns the tables against those very people who seek to undermine information security.  The irony is sweet.Overall, I think a well managed bug bounty program, is a very good idea.  Only time will tell if the benefits can be measured and understood.  I fully applaud Google, Mozilla, and the likes for taking this approach and hope to see others follow!References: http://blog.chromium.org/2010/01/encouraging-more-chromium-security.htmlhttp://www.mozilla.org/security/bug-bounty.htmlhttp://www.financetechnews.com/chrome-bugs-get-a-bounty-on-their-nasty-little-heads/http://communities.intel.com/community/openportit/it/blog/2007/11/19/deconstructing-cyber-security-attacks-threat-modellast_img read more

Machine Learning Becomes Mainstream: How to Increase Your Competitive Advantage

first_imgFirst there was big data – extremely large data sets that made it possible to use data analytics to reveal patterns and trends, allowing businesses to improve customer relations and production efficiency. Then came fast data analytics – the application of big data analytics in real-time to help solve issues with customer relations, security, and other challenges before they became problems. Now, with machine learning, the concepts of big data and fast data analytics can be used in combination with artificial intelligence (AI)Opens in a new window to avoid these problems and challenges in the first place.So what is machine learning, and how can it help your business? Machine learning is a subset of AI that lets computers “learn” without explicitly being programmed. Through machine learning, computers can develop the ability to learn through experience and search through data sets to detect patterns and trends. Instead of extracting that information for human comprehension and application, it will use it to adjust its own program actions.So what does that mean for your business? Machine learning can be used across industries, including but not limited to healthcare, automotive, financial services, cloud service providers, and more. With machine learning, professionals and businesses in these industries can get improved performance in a number of areas, including:Image classification and detectionFraud detectionFacial detection/recognitionImage recognition/taggingBig data pattern detectionNetwork intrusion detectionTargeted adsGamingCheck processingComputer server monitoringIn their raw data, large and small data sets hide numerous patterns and insights. Machine learning gives businesses, organizations, and institutions the ability to discover trends and patterns faster than ever before. Practical applications include:Genome mappingEnhanced automobile safetyOil reserves explorationIntel has worked relentlessly to develop libraries and reference architectures that not only enable machine learning but allow it to truly take flight and give businesses and organizations the competitive edge they need to succeed. In fact, according to a recent study by Bain[1], companies that use machine learning and analytics are:Twice as likely to make data-driven decisionsFive times as likely to make decisions faster than competitorsThree times as likely to have faster execution on those decisionsTwice as likely to have top-quartile financial resultsMachine learning is giving businesses competitive advantages.In other words, predictive data analytics and machine learning are becoming necessities for businesses that wish to succeed in today’s market. The right machine learning strategy can put your business ahead of the competition, reduce your TCO, and give you the edge your business needs to succeed.Background on Predictive Analytics and Machine LearningYou already know that machine learning is essentially a form of data analytics, but where did it come from and how has it evolved to become what it is today? In the past couple of decades, we have seen a rapid expansion and evolution of information technology. In 1995, data storage cost around $1000/GB; by 2014 that cost had plummeted to $0.03/GB . With access to larger and larger data sets, data scientists have made major advances in neural networks, which have led to better accuracy in modeling and analytics.As we mentioned earlier, the combination of data and analytics opens up unique opportunities for businesses. Now that machine learning is entering the mainstream, the next step along the path is predictive analytics, which goes above and beyond previous analytics capabilities.The Path to Predictive AnalyticsMachine learning is a part of predictive analytics, and it is made up of deep learning and statistical/other machine learning. For deep learning, algorithms are applied that allow for multiple layers of learning more and more complex representations of data. For statistical/other machine learning, statistical algorithms and algorithms based on other techniques are applied to help machines estimate functions from learned examples.With predictive analytics, companies can see more than just “what happened” or “what will happen in the future.”Essentially, machine learning allows computers to train by building a mathematical model based on one or more data sets. Then those computers are scored when they may make predictions based on the available data. So when should you apply machine learning?There are a number of times when applying machine learning can give you a competitive advantage. Some prominent examples include:When there is no available human expertise on a subject. Recent navigation to Pluto relied on machine learning, as there was no human expertise on this course.When humans cannot explain their abilities or expertise. How do you recognize someone’s voice? Speech recognition is a deep-seated skill, but there are so many factors in play that you cannot say why or how you recognize someone’s voice.When solutions change over time. Early in a rush-hour commute, the drive is clear. An hour later, there’s a wreck, the freeway comes to a standstill, and side streets become more congested as well. The best route to getting to work on time changes by the minute.When solutions vary from one case to another. Every medical case is different. Patients have allergies to medications, multiple symptoms, family histories of certain diseases, etc. Solutions must be found on an individual basis.These are just a few of the uses that you’ll find across industries and institutions for machine learning. Not only is the demand for machine learning growing, though, but there is now an evolving ecosystem of software dedicated to furthering machine learning and giving businesses and organizations the benefits of instantaneous, predictive analytics.An evolving ecosystem of machine learning software*In this ecosystem, Intel is the most widely deployed platform for the purposes of machine learning. Intel® Xeon® and Intel® Xeon Phi™ CPUs provide the most competitive and cost efficient performance for most machine learningOpens in a new window frameworks.Challenges to Adoption of Machine LearningThere are a few barriers to adoption of machine learning that businesses need to overcome to take advantage of predictive analytics. These include: Understanding how much data is necessary. Adapting and using current data sets.Hiring data scientists to create the best machine learning strategy for your business.Understanding potential needs for new infrastructure vs. using your existing infrastructure.With the right machine learning strategy, the barriers to adoption are actually fairly low. And, when you consider the reduced TCO and increased efficiency throughout your business, you can see how the transition can pay for itself in very little time. As well, Intel is dedicated to establishing a developer and data science community to exchange thought leadership ideas across disciplines of advanced analytics. Through these articles and information exchanges, we hope to further help businesses and organizations understand the power of predictive analytics and machine learning”.What is your opinion and how do you apply data analytics and machine learning? Let us know what you think!Co-written by Ronald van LoonOpens in a new window , Director of Advertisement[1] http://www.bain.com/publications/articles/big_data_the_organizational_challenge.aspx[2] http://www.mkomo.com/cost-per-gigabyte-updatelast_img read more

Plants can gamble, according to study

first_imgImagine you’re offered a choice between $800 or a coin toss to win $1000. Heads, you end up with the full $1000; tails, you lose everything. For most of us, it’s a no-brainer. We take the $800. But you would likely toss the coin if you were stuck on a desert island with no money, and needed $900 for a flight out. Pea plants, it turns out, make the same decision. When faced with hard times, the species gambles, scientists report. The discovery is the first to show that plants—not just animals—have the ability to switch from being risk-avoiders to risk-takers.“Like most people, I used to look at plants as passive,” says lead author Efrat Dener, a master’s student in environmental sciences at Ben-Gurion University of the Negev in Beersheba, Israel. His group’s experiments show “how wrong that view is.” Although plants do other things—such as bending toward sunlight and responding to humidity—they haven’t been thought of as “dynamic strategists,” says Dener’s co-author Alex Kacelnik, a behavioral ecologist at the University of Oxford in the United Kingdom. That is, they haven’t been shown to be able to respond when times are tough by changing their behavior and taking a chance.Humans, primates, birds, and social insects take fewer risks when faced with a steady supply of food. But when the supply is uncertain, they switch strategies and take more risks. For instance, in lab experiments, honey bees turn to gambling when they’re starving, choosing to sip nectar from a tube that may dispense plentiful amounts or nothing. And dark-eyed juncos (small songbirds) that are cold will ignore a seed dispenser that regularly releases three seeds, and choose one that may give out six—or zero.Sign up for our daily newsletterGet more great content like this delivered right to you!Country *AfghanistanAland IslandsAlbaniaAlgeriaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBolivia, Plurinational State ofBonaire, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos (Keeling) IslandsColombiaComorosCongoCongo, The Democratic Republic of theCook IslandsCosta RicaCote D’IvoireCroatiaCubaCuraçaoCyprusCzech RepublicDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEthiopiaFalkland Islands (Malvinas)Faroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and Mcdonald IslandsHoly See (Vatican City State)HondurasHong KongHungaryIcelandIndiaIndonesiaIran, Islamic Republic ofIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea, Democratic People’s Republic ofKorea, Republic ofKuwaitKyrgyzstanLao People’s Democratic RepublicLatviaLebanonLesothoLiberiaLibyan Arab JamahiriyaLiechtensteinLithuaniaLuxembourgMacaoMacedonia, The Former Yugoslav Republic ofMadagascarMalawiMalaysiaMaldivesMaliMaltaMartiniqueMauritaniaMauritiusMayotteMexicoMoldova, Republic ofMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorwayOmanPakistanPalestinianPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalQatarReunionRomaniaRussian FederationRWANDASaint Barthélemy Saint Helena, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint Martin (French part)Saint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint Maarten (Dutch part)SlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwazilandSwedenSwitzerlandSyrian Arab RepublicTaiwanTajikistanTanzania, United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkeyTurkmenistanTurks and Caicos IslandsTuvaluUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuela, Bolivarian Republic ofVietnamVirgin Islands, BritishWallis and FutunaWestern SaharaYemenZambiaZimbabweI also wish to receive emails from AAAS/Science and Science advertisers, including information on products, services and special offers which may include but are not limited to news, careers information & upcoming events.Required fields are included by an asterisk(*)To find out whether plants do the same, Dener and his colleagues carried out a series of experiments on pea plants (Pisum sativum) raised in a greenhouse. The plants were grown with roots split between two pots. Each pot contained the same concentration and type of nutrients. But the level of nutrients in one pot was constant, whereas it varied in the other. After 12 weeks, the scientists measured the plants’ root mass and their allocation of roots inside each pot.They found that the plants varied their distribution of roots depending on the nutrient level in each. In some tests, the plants faced a choice between a pot with a steady supply of high nutrients and one with variable levels. These plants, not surprisingly, were risk-averse, and grew most of their roots in the constant pot.But plants switched strategies when faced with a choice between a dicey pot with variable levels of nutrients and a pot with constant but low amounts of nutrients—so low, they were below what a plant needs to survive. In this case, the plants, like the person on a desert island, gambled. They sent out more roots in the variable pot, basically tossing a coin to see whether they would get lucky and encounter the nutrients they needed to survive, the scientists report today in Current Biology. Thus, normally risk-averse, pea plants become risk-prone when growing in dire conditions.“To our knowledge, this is the first demonstration” of this kind of risk response in an organism without a nervous system,” Kacelnik says. He adds that this doesn’t mean the “plants are intelligent” in the way that we think of humans or other animals. But they do have some way of sensing or evaluating the different conditions in the pots, although the scientists do not yet know what this is.  That the scientists have shown risk sensitivity in pea plants—“not really anyone’s top candidate for cognitively advanced organism of the year—is a surprise,” says David Stephens, a behavioral ecologist at the University of Minnesota, Twin Cities.But that may be because most people aren’t aware of plants’ abilities, says James Cahill, a plant ecologist at the University of Alberta, Edmonton, in Canada. “We know plants can process information and have memory.” For example, bittersweet nightshade plants can tell whether flea beetles or tortoise beetles are feeding on their leaves, and mount a different chemical defense against each species. The new study “builds on this [knowledge]. They’re showing that risk matters to individual plants. It’s a great step and novel contribution to the developing field of plant behavior.”Still, it is a first step, Cahill and Stephens say—but one that is so exciting that both they and the team of researchers are calling for more studies.last_img read more

Rodriguez out of Roma-Milan

first_imgRicardo Rodriguez and Giacomo Bonaventura are out of the Milan squad travelling to Roma for tomorrow evening. It kicks off on Sunday at 17.00 GMT, click here for a match preview. New coach Stefano Pioli was held to a 2-2 draw by Lecce on his debut and has some changes to his squad at the Olimpico. Davide Calabria and Samu Castillejo return from suspension, but full-back Rodriguez pulls out with a muscular issue. Also absent is midfielder Bonaventura, who continues treatment and a separate training regime. Milan squad for Roma: A Donnarumma, G Donnarumma, Reina; Calabria, Conti, Duarte, Gabbia, Theo Hernandez, Musacchio, Romagnoli; Bennacer, Biglia, Calhanoglu, Kessie, Krunic, Paqueta; Borini, Castillejo, Leao, Piatek, Rebic, Suso Watch Serie A live in the UK on Premier Sports for just £11.99 per month including live LaLiga, Eredivisie, Scottish Cup Football and more. Visit: https://subscribe.premiersports.tv/last_img read more

Milan wanted Puel

first_imgThere are reports that Milan’s hierarchy couldn’t agree on who should replace Marco Giampaolo, with Ivan Gazidis wanting Claude Puel.  Giampaolo was sacked after a dismal run of form in which Milan won only three of their opening seven games. Il Giornale reports that Milan CEO Gazidis wanted former Lyon and Southampton manager Claude Puel to take over from Giampaolo. However, the report also states that directors Paolo Maldini and Zvonimir Boban wanted an Italian coach, or at least one who was experienced in Serie A. This led the club to go for Luciano Spalletti, who rejected their advances. Milan then turned to Stefano Pioli, who agreed. This isn’t the first time the three have butted heads, as Gazidis only wanted to sign young players last summer, whilst Boban and Maldini believed that the squad needed some experience, with rumours that a deal for Zlatan Ibrahimovic was nixed by Gazidis. Watch Serie A live in the UK on Premier Sports for just £11.99 per month including live LaLiga, Eredivisie, Scottish Cup Football and more. Visit: https://subscribe.premiersports.tv/last_img read more

Modern estate development threatens Rabindranath Tagore’s ‘Abode of Peace’

first_imgNEW SKYLINE: The first phase of a housing project is readyRabindranath Tagore’s “Abode of Peace” is fast becoming a theatre of war. Santiniketan, the university town founded by the Nobel laureate in Birbhum district in West Bengal, has been the centre of a brewing storm over the rash of real,NEW SKYLINE: The first phase of a housing project is readyRabindranath Tagore’s “Abode of Peace” is fast becoming a theatre of war. Santiniketan, the university town founded by the Nobel laureate in Birbhum district in West Bengal, has been the centre of a brewing storm over the rash of real estate development that threatens the founder’s vision of it as a tranquil seat of learning. Recently, a group of well-known intellectuals and celebrity residents filed a public interest petition in the Kolkata High Court against “the indiscriminate selling off of Santiniketan”. Their objection is against builders Bengal Ambuja, which are planning to turn the Khoai, the picturesque laterite basin caused by erosion, into a housing complex.There are many such basins in Santiniketan, but the Khoai of the lawsuit is said to have been immortalised by the writings of Tagore and the paintings of Ram Kinkar Baij and Nandalal Bose. While the recent petition concerns only one project, residents allege there are at least two others that will be out of tune with Tagore’s idea of Santiniketan.They say Bengal Peerless Group’s 13-acre housing scheme is launching its own assault on the Khoai and that it is also about to bring in a “nightclub culture” that is alien to Santiniketan. The 27-acre ecopark to be constructed by Surji Consultants also allegedly involves draining a 17.7 acre waterbody called the Laha Bundh. Discordant notes: Work for an ecopark in progress at Laha BundhMany prominent citizens of Kolkata and three local groups are readying for a second PIL (to begin by the end of this month) against construction at Laha Bundh. Adding to the uproar is the fact that there are other builders eyeing Santiniketan. It is not hard to seewhyBengalis are sensitive, touchy even, about the place.Quite apart from the associations with their favourite poet, the sleepy little university town, just 150 km from Kolkata, continues to be the hottest weekend getaway and post-retirement retreat for the city’s well-heeled. “The new projects are going to bring a certain kind of culture that will ruin the ambience and charm of Santiniketan,” says Sushanto Tagore, the poet’s grand-nephew. At the receiving end of all this ire is the Sriniketan Santiniketan Development Authority (SSDA), the government instituted body that is in charge of all development activity in these twin towns and their neighbour, Bolpur. Residents are upset by the indiscriminate and rapid green lighting of projects.It is not just the SSDA that is attracting the ire of concerned citizens. Also named in the lawsuit is Viswabharati University, as the designated upholder of Tagore ‘s ideals. According to the Act which brought the university under the Centre in 1951, Viswabharati’s territorial limits extend to about 3,000 hectares around it. The activists argue that if that is so, then the disputed projects are definitely encroaching on its land and should be thrown out by the university. No such thing is likely to happen anytime soon. Mainly because, as Vice-Chancellor Sujit Kumar Basu puts it, “Territorial limits do not necessarily mean ownership. We are investigating to see how much land the university actually owns.”At a basic level, the current controversy has to do with the fact that land ownership and jurisdiction rights is a fuzzy subject in Santiniketan. In 1863, Tagore’s father Debendranath took on lease of 20 bighas (6.6 acres) from the erstwhile owners, the Sinha zamindars of Raipur.Since then, lessees have changed hands many times, and large tracts have been deemed vested land. Some of that has now been acquired by the SSDA, though the question of whose authority holds-the SSDA’s or the university’s- is still an open one.SSDA Chairman Somnath Chatterjee, high-profile CPI(M) leader and parliamentarian, maintains there is no dispute about land ownership. “The three project areas do not fall within the land belonging to theViswabharati,”he says. “The government has given this land to the SSDA.” Executive Officer A.K. Das adds: “The site of the Ambuja housing scheme is not at the Khoai at all. At least not the Khoai Tagore wrote about.” Das is, however, tightlipped about the other projects, particularly the forthcoming draws for the ecopark. The Laha Bundh is bone dry, with loaders scooping up mud round the clock. “We are only dredging the bundh,” says Das.”We will refill the tank and have the ecopark in the 10 acres surrounding it.”The recent lawsuit has opened up a whole new debate about Santiniketan’s future. Does leaving it untouched imply (and risk) keeping it backward? Or should Santiniketan be allowed to become the Gurgaon of Bengal-and benefit from malls, a sports complex, hostels for students, bypass roads, a polyclinic and trauma centre and a host of other projects on the anvil? “This alleged concern is based on deliberate misinformation and crocodile tears for Santiniketan,” says an angry Chatterjee. “Those who are protesting do not want to know that there is a binding on every housing project cleared by the SSDA to provide a public service.”Something that is essential for a Santiniketan that was once primarily agrarian, but is fast changing. Over 70 per cent of the 1.26 lakh population (of the three towns taken together) is opting for “other” jobs. It is, however, not clear what these jobs are-and certainly there are not enough to go around.advertisementadvertisement”Birbhum has only one industry, and that is the Viswabharati University,” says Basu. “Everybody thinks they need only to come here to get a job. But the university cannot accommodate them all. So the new projects should be welcomed if they generate employment.”Santiniketan’s other revenue earner is an iffy tourism trade, with about five lakh visitors dropping in for the town’s two main events, the Pous Mela and the Vasantotsav. The administration thinks the activists are repressing a possible boom.Recently, when residents protested the granting of bar licences to four hotels in the town, a government officer brushed it off with: “You have to give the tourists something to do in the evening.” The problem is that nobody is clear at what cost.last_img read more

10 months agoNewcastle captain Lascelles expects battle with Fulham striker Mitrovic

first_imgNewcastle captain Lascelles expects battle with Fulham striker Mitrovicby Paul Vegas10 months agoSend to a friendShare the loveNewcastle United captain Jamaal Lascelles expects a battle facing Fulham striker Aleksandar Mitrovic this weekend.Lascelles has paid tribute to his former team-mate, saying the Serb is “smart and physical” and a tough opponent. He said: “Mitro is a good striker; he’s smart, he’s physical, and he can be a nightmare for centre-halves. And they’ve got a good midfield; they try to play good football, too. But we’re paid to do our job, and they’re coming to St James’ Park, so we’ll be full of confidence.“They’re bottom of the league, but they’ve got some good players in their team.“Every game in the Premier League is a difficult game. There’s not one game where you think, ‘Yeah, we’ll easily beat them.’ So we just need to make sure we prepare in the right way and with the same attitude we did at the weekend.” TagsTransfersAbout the authorPaul VegasShare the loveHave your saylast_img read more