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Some lives are defined in short unexpected, spontaneous moments. For 5 young stallions on a chilly night in early March, under the glittering lights of the Empire State Building, lives were changed forever in 30 exhausting, passionate and gut-wrenching minutes.
They say beauty is in the eye of the beholder, but I say true beauty is evident for all to see.
What occurred on the corner of 11th Avenue and 23rd Street was truly beautiful and will be talked about for generations. Many years from now, grandchildren will hear the story of the 5 British men, who walked through the streets of western Manhattan seeking glory and honor.
What they discovered is that there can be no glory without hard work, sweat, and tears.
As our heroes puffed out their chests and stood there motionless for the team photo in front of a sellout crowd consistent of 1 guy walking a dog and someone who was lost! Nobody could predict what lay ahead.
The early minutes were cagey, tight, menacing, yet promising too. Harnham moved the ball with swagger, confidence, and agility.
In between the posts was the irresistible force that is Adam ‘Keenos’ Keene. In front of this agile man was a brick wall made of guts and cement in the form of Ireland's Allister Duncan, also known as 'Dunc' and the bald headed maestro that is Jamie ‘Salmon’ King. These two were on the same page from start to finish. If Dunc was bread, then Salmon was the spread.
In front of them was no mere mortal. Some are born great, others have greatness thrust upon them. For Sam ‘Maughany’ Maughan, it's a bit of both. He commanded the center of the field, and quite possibly slipped this paragraph in!
It was his. He owned it.
He glided across the pitch like no man had ever before.
Just in front of him was a spiky fellow known as Mark ‘Hedgehog’. Hedgehogs are not known for their pace or agility, but this cunning mammal was like no other seen before. Having declared himself unable to participate in any type of sport before the game, this tiny creature covered every blade of grass with the sort of desire and purpose that few have ever seen.
5 minutes had not passed when Sam Maughany picked the ball up 20 yards from goal, drove at the heart of the enemy's midfield and launched an audacious and gorgeously crafted lob that floated over the hapless keeper.
Harnham led 1-0.
Believing the impossible dream could become reality, Harnham searched for a second, and they didn't have to wait long for it either.
Keenos distributed the ball wide to the Salmon, the Salmon drifted inwards and sprayed the ball left where Dunc was waiting patiently. Dunc threw his opponent out of the way with a force that could be only admired, then Dunc slid a delightful ball through to the Hedgehog, who fainted one way, then the other and released Maughany; who made haste and crossed the halfway line.
With options limited ahead, he decided to unleash a pile-driver of a strike which flew faster than the speed of light and dipped deliciously into the top right corner. Maughany was mobbed by his teammates as Harnham celebrated a 2 goal lead.
Our heroes now had room to breathe. But like every love story, a moment of heartbreak is never far away.
With half time only 5 minutes away, Harnham's fitness levels finally became evident. They had none.
Harnham were literally on their knees. It was quite a sight to behold. Our brave warriors looked defeated. These guys were seriously struggling and alas an opportunity came for their opponents to take advantage.
Within 3 stomach turning, painful minutes, their lead was no more.
2 brilliant strikes had left Keenos with no chance whatsoever and Harnham were staring down the barrel of a famous football collapse.
Seconds before the break Harnham had one last chance to restore the lead but Jamie Salmon's close range strike was weak and well-kept out by a desperate dive from their keeper.
2-2 at the break.
Our generals gathered in a team huddle. A new source of energy appeared out of the darkness. There was a sense of optimism in the air that few have seen before. You could see the belief pouring out of them, this was to be their night, and nobody was going to take that away from them.
Mark Hedgehog reminded everyone of how far they had come... some from Brooklyn, others from the Upper East Side and one from the Village that lies far to the East. There was no way they were returning without 3 points.
The first 10 minutes of the 2nd half were cagey. Both sides feeling out the other, probing for weaknesses.
Within those 10 long grueling minutes there was a moment of greatness. Our opponents launched a devastating attack, tearing through Harnham. We seemed undone. Despair was inevitable.
But one man said no. One man stood up to be counted and said you shall not pass. That man was Adam ‘Keenos’ Keene. As a stinging, rasping effort flew towards the bottom corner, the outstanding Keene flung himself in its path, and with an outstretched arm he pushed the ball around the post. It was sheer magic!
Harnham went straight up the other end. Dunc found Maughany in space and the midfield maestro completed his hat-trick to send the traveling fans absolutely wild. Maughany had beaten two men and coolly slotted the ball under the despairing dive of our opponent’s keeper.
3-2 up, the final 60 seconds were a little chaotic as the enemy launched long balls deep into Harnham territory, but our heroes stuck together and beat everything away.
At the final whistle, Jamie Salmon collapsed to the floor. Sam Maughany was exhausted, Mark Hedgehog fell into the grateful arms of Allister Dunc and Adam Keenos kissed his goal posts.
Harnham had done it. 3 points that literally nobody had given them any hope of claiming were theirs.
This is what it means to be Harnham... This is what it means to win.... This is what it means to seek glory and to find it...
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
Visit our News & Blogs portal or check out our recent posts below.
Ever wondered how your email system knows which emails to show you and which to put in your junk or spam folder? Enter Machine Learning. It learns what you open and read and after a time can differentiate what you ignore, toss, or move to spam. Now imagine that same type of learning in the life sciences. As scientific advances move toward Data and Machine Learning to scale their knowledge, you can imagine the possibilities. After all, as you read this, trends in the life sciences, specifically with an eye toward bioinformatics showcase machine learning such as genome sequencing and the evolutionary of tree structures. Human and Machine Learning with a Common Goal There has been so much data provided over the past few decades, no mere mortal could possibly collect and analyze it all. It is beyond the ability of human researchers to effectively examine and process such massive amounts of information without a computer’s help. So, machines must learn the algorithms and they do so in any number of ways. For the most part, it’s a comparison of what we know, or is already in a databank, with the information we have and don’t yet know. Unrecognized genes are identified by machines taught their function. The Future is Bright Machine Learning is giving other fields within the life sciences both roots and wings. Imagine scientists being able to gain insight and learn from early detection predictions. This type of knowledge is already in play using neuroimaging techniques for CT and MRI capabilities. This is useful on a number of levels, not the least of which is in brain function; think Alzheimer’s Research, for example. The hurdle? It isn’t the availability of such vast amounts of data, but the available computing resources. Add to that, humans will be the ones to check and counter-check validity which can in turn become more time-consuming and labor intensive than the computer’s original analysis. And it’s this hurdle which leads to a caveat emptor, or “buyer beware” of sorts. Caveat Emptor: Continue to Question Your Predictions In other words, how much can you trust the discoveries made using Machine Learning techniques in bioinformatics? The answer? Never assume. Always double check. Verify. But as you do so, know this. Work is already in progress for next-generation systems which can assess their own work. Some discoveries cannot be reproduced. Why? Sometimes it’s more about asking the right question. Currently, a machine might look at two different clusters of data and see that they’re completely different. Rather than state the differences, we’re still working on a system that has the machine asking a different kind of question. You might think of it as a more human question that goes a bit deeper. Imagine a machine that might say something noting the fact that some of the data is grouped together, but if different, it might say while it sees similarities, but am uncertain about these other groups of data. They’re not quite the same, but they’re close. Machine Learning is intended to learn from itself, from its users, and from its predictions. Though a branch of statistics and computer science, it isn’t held to following explicit instructions. Like humans, it learns from data albeit at a much faster rate of speed. And its possibilities are only getting started. Want to see where Bioinformatics can take your career? We may have a role for you. If you’re interested in Big Data and Analytics, take a look at our our current vacancies or contact one of our recruitment consultants to learn more. For our West Coast Team, call (415) 614 - 4999 or send an email to email@example.com. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to firstname.lastname@example.org.
12. September 2019
Dream teams from sports to business are an ideal everyone aspires to live up to. But what is it every basketball or football dynasty has which makes them a dream team? What is it that brings individuals together to overcome odds, set examples, find solutions, and create the next best thing? Good management. The need for good management is no different in the Data Science world. Yet according to our latest Salary Guide, poor management is one of the top five reasons Data professionals leave companies. So, let’s take a look at what poor management is, what causes it, and how businesses can better retain Data talent. What’s Your Data Science Strategy? Most businesses know they need a Data team. They may also assume that a Data Scientist who performed well can lead a Data team. But that isn’t necessarily the case. Managers have to know things like P&L statements, how to build a business case, make market assessments, and how to deal with people. And that’s just for a start. The leader of a Data team has a number of other factors to consider as well such as Data Governance, MDM, compliance, legal issues around the use of algorithms, and the list goes on. At the same time, they also need to be managing their team with trust, authenticity, and candor. The list of responsibilities can be daunting and if someone is given too much too soon and without support, it can be a recipe for disaster. Other businesses might believe that a top performing Data Scientist would make a good manager. Yet these are two different fields. Or you might look at it this way. If you are willing to upskill a top performing Data professional and train them in managerial skills, giving them the education and support they need, that is one solution. Another solution is to create a Data Science strategy which brings in people with business backgrounds. Data Science is a diverse field and people come from a number of backgrounds not just Computer Science or Biostatistics, for example. Now that you’ve seen what might cause a manager to fail, let’s take a look at a few tips to help you succeed. Seven Tips for Managing a Data Team Managing a team is about being able to hire, retain, and develop great talent. But if the manager has no management training, well, that’s how things tend to fall apart. Here a few tips to consider to help ensure you and your team work together to become the dream team of your organization: Build trust by caring about your team. Help define their role within the organization. Ensure projects are exciting and that they’re not being asked to do project with vague guidelines or unrealistic timeframes.Be open and candid. Remember, Data Scientists are trained in how to gather, collect, and analyze information. If anyone can see right through a façade, it will be these Data professionals. Have those “tough” conversations throughout every stage of the hiring, onboarding, and day-to-day, so that no one is caught unaware.Offer consistent feedback. And ask for it for yourself as well from your team.Ensure your team understands the business goals behind their projects. Let them in on the bigger picture. Think long-term recruitment for a permanent role, not short-term. If you have an urgent project, consider contracting it out. Prioritize diversity to include academic discipline and professional experience. Does the way this person view the world expand the knowledge of your team’s knowledge? Dream teams don’t always have to agree. Sometimes, the best solutions are found when there are other opinions. Finding the perfect, “Full Stack” Data Scientist or Data Engineer or Analyst is not impossible, and retaining them can be even easier. If you’ve done your job well, your team will trust you, have a balanced skillset, and understand how their work supports the organization and its goals. For more information on how to be a great manager, check out this article from HBR. Ready for the next step? Check out our current vacancies or contact one of our recruitment consultants to learn more. For our West Coast Team, call (415) 614 - 4999 or send an email to email@example.com. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to firstname.lastname@example.org.
11. July 2019
With summer in full swing, many of us are either planning our vacations, or have already enjoyed them and are thinking of where to go next. Regardless of location, we’re all looking for the same thing; a great experience to remember for years to come. No matter how exciting our trip, we all want our plans to run smoothly and, luckily, AI is here to help. Today we have more options and more buying power than ever before. The ease with which we can search and select via our phones has kept businesses on their toes and driven them to look beyond traditional service. By incorporating AI, the hospitality sector is implementing new ways to serve their customers more easily and efficiently. Fueling the AI Hospitality Experience The hospitality industry has a notoriously high turnover rate, relying heavily on seasonal workers, and those early in their careers. But, with AI, digital analysis, and predictive analytics entering the industry, new technologies are providing alternative customer service solutions: Predictive Analysis Automation Smart Domotics Advertising Predictive Analysis As ‘the customer is always right’, the best way to create a smooth and memorable experience is to know what they want and then give it to them. Given that difficulties can arise when there are too few staff for the number of guests, there is a need to be proactive when planning, in order to be reactive on the day. Utilizing Machine Learning, facilities can predict staffing and supply needs, planning for a more streamlined and, ultimately, better service. Automation Automating repetitive operations such as check-ins and check-outs, room assignments, and housekeeping deliveries gives staff more time to focus on the customer. As small and large hospitality businesses compete with the growing success of home sharing platforms, such as AirBnB, AI can give traditional facilities a fresh edge. In addition, rapid and efficient responses lead to greater customer satisfaction which, in turn, leads to a healthier bottom line. Smart Domotics More and more hotels are looking to the Internet of Things and Linked Technologies as they evolve into ‘smart’ destinations. With devices that can measure everything from room temperature to customer preferences, facilities can adapt in order to create an optimal environment. Furthermore, interaction with these ‘smart’ technologies can help hotels evolve over time, placing a greater emphasis on elements that prove to be the most popular with customers. Advertising From targeted Social Media campaigns to personalized gifts on arrival, Analytics can enhance the entire customer experience. When booking, users can engage with Chatbots 24/7, adding an element of humanity to the online booking experience. When customers engage with resort apps and website, AI technologies cross-check their interactions and adapt their recommendations accordingly. With more people travelling than ever, the effort of keeping up with travelers the world over, night and day, is shifting to AI, thereby allowing the workforce more freedom to tend to customer needs. AI in the Cloud The world of digital is transforming our lives, and the rise of Cloud technologies has taken digital analysis to the next level. With the advancements in AI, the hotel industry needs professionals who can create apps, collect and translate data, and, of course, build rigid infrastructures. If you want to help hotel owners get a leg up on their competition and have a hand in creating a memorable travel experience for someone, we may have a role for you. To learn more, check out our current vacancies. For the West Coast team call us at (415) 614-4999 or email us at email@example.com. For our Mid-West and East Coast Teams call us at (212) 796-6070, or email firstname.lastname@example.org.
24. July 2018
Why Texas is the place to be for technology jobs The big data market is heating up the world over, and perhaps no more so than in Texas. The Dallas, Austin and Houston areas in particular are experiencing a massive boom in big data jobs, with many large tech companies making the move from Silicon Valley to enjoy all that Texas has to offer. But why the shift towards the southern state, and what does it mean for candidates looking big data jobs and broader technology roles? Tax-free Texas The Texan market is looking increasingly lucrative for both young start-ups and established tech companies alike. One of the most significant factors in this rapid growth is the favourable tax conditions in the state. There’s no corporate or individual income tax, with Texas ranking 47 out of 50 states when it comes to taxes paid per $1,000 of personal income. As California tax rates hitting up to 10.84 for corporations and 12.3% for individuals, it’s understandable that entrepreneurs and big business alike are looking to the southern state for bigger breaks on tax day. On top of this, Texas offers favourable funding and regulatory conditions for young and growing businesses, providing a ‘pro-business’ environment for corporations to thrive. Texas State offers billions of dollars in incentives to businesses every year, providing all the more reasons for those in the technology industry to think hard about making the move. With a state government that celebrates business and provides easy to navigate laws and regulations, many businesses find the transition from Silicon Valley to Austin smooth and seamless. As organisations in San Francisco are priced out of the area, some of the nation’s top talent are moving to pastures greener – and for many, that means Texas. The living is easy On top of the tax breaks gained when moving to Texas, many movers and shakers experience a favourable quality of life. The cost of living is low – for example, the median home value in Austin is $321,600 compared to San Francisco’s $1,1943,300 – with relatively cheap utilities and the second-largest GDP in the nation. The market is robust, which has resulted in money being poured back into cities and communities to make them more attractive to businesses and young families. People can move to Austin and get more bang for their buck than they can in many other parts of the country, enjoying not only a booming technology market, but also superior housing and affordable living. Add in a comfortable climate and famously friendly locals and you’ve got a part of the country that is becoming increasingly appealing to even the most seasoned technology professionals. Technology is taking off Texas is huge when it comes to the technology industry. There was a 41.4% jump in technology industry employment between 2001 and 2013, resulting in large numbers of jobs being taken up across Austin and the wider state. And in 2016 alone, Texas added a huge 11,000 new technology jobs to its market, ranking it second of the 50 states in tech industry employment. The tech hub of Austin alone is home to employers such as Dell, Apple, Microsoft and Samsung, plus an increasingly significant number of start-ups peppering the landscape with innovation. There are a range of incubators and universities that feed into the city’s talent pool, with Austin ranking third in the list of US cities providing the most technology jobs in 2017. However, such growth doesn’t stop Austin and its other Texan counterparts from being a friendly and accessible place to work. There is less of the cut-throat nature that comes with tech in Silicon Valley, and more of a community, collaborative approach. Meanwhile, Dallas-Fort Worth is enjoying being the second-largest data center market in the country, offering an abundance of big data jobs to savvy business people. Working in Texas Much of the Texas technology market is geared towards candidates currently, with more jobs than skilled employees to fill them. Companies are doing more to attract top talent to Texas, including offering generous benefits packages, relocation allowances and flexible work conditions, and the expectation is that this market will only continue to grow. If you’re looking for technology jobs in Austin or further afield in Texas, we might have just what you’re looking for. Take a look at our US data and technology jobs here.
05. July 2017