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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.
COVID-19 may have rocked the world of employment, but it also created a whole new series of opportunities. If you are looking for work, there are a few updates to the rules of the job search. Not rules, really. More preferred guidelines. A Note on the Guidelines of the Job Search Remember when your work experience was honed to two pieces of paper – your resume and cover letter – and you hoped it made it to the hiring manager? Well, there are a lot more direct ways to get there and plenty of opportunities abound to help you stand out from the crowd. It’s not just your educational experience. In fact, today’s hiring is much more about emotional intelligence, collaboration, and how you use what you’ve learned in previous roles. Among the negative notes, there are a host of positive movements for jobseekers with both established and startup firms. And sometimes, even within a legacy firm which has pivoted with the changes of our new world of work. Thread the Needle of Responsibility Google and IBM may be leading the charge to hire without use of a degree, but most businesses still want that piece of paper. How you present it is another matter. Think video, project portfolios, and online forms via application tracking systems (ATS). That’s just to get you in the door. The more important hurdle is understanding the nuances of your role and responsibilities. The list of qualifications and duties has always been part of the job search. Do you fit all the requirements? Can you handle all the responsibilities? Did you read between the lines to understand what the company hopes will find in their ideal candidate to help them meet their business goals and objectives? Below are some questions you might ask yourself when reading through job descriptions or considering where you’d like to apply: Are you able to not only craft reports, but also see patterns to help you gain insight into what the reports are telling you?From this, can you not only discuss it with your colleagues and teammates, but also across departments, executives, and stakeholders?Can you not only explain the patterns to both technical and non-technical audiences, but do so across multiple projects?What challenges will you face and how will you solve them?How well do you manage your time? Can you step in to lead a team or do you prefer to work on your own? Could you be flexible between the two?Are you able to build relationships both internally and externally – teammates, vendors, executive leaders, department heads, and the board room.Do you have emotional intelligence? Can you take ownership of a project and hold yourself and others accountable?Do you show initiative? Not just in diving into a project, but asking questions. Can you ask objective questions playing devil’s advocate on one side and seeing the possibilities on the other? These are wide open questions to challenge yourself. Some are leadership-centric. Some are simply ‘can I do the job?’ questions. But, ultimately, it’s these kinds of questions which are asked in interview under the purview of seemingly inane questions. They’re meant to make you think and for the hiring manager to see how you think. 3 Surprising Ways to Stand Out in Your Job Search With the rise of remote working, Zoom, and Slack, the video interview and application process has gained ground. It’s quickly become the virtual way to seek, apply for, meet with, hire, and work with prospective and current team members. But, if you’re in the tech space, you can go even deeper than video and you’ve got more than project portfolios to fall back on. Write about your experiences – what you’ve learned, where, why, and how. Think Medium’s Toward Data Science. Don’t forget to hit publish! Not a writer? Follow the blog and make comments.Network – this seems like a ‘no brainer’, but in our somewhat virtual world it can be even easier for those who already comfortable in this environment. Whether it’s via LinkedIn or Twitch, you are building relationships to help you move forward in your job search.Use your skills to help you run and track your job search more efficiently. If you’re interested in Big Data, Web Analytics, Marketing & Insight, Life Science Analytics, and more, check out our current vacancies or contact one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
29. October 2020
What do you get when you combine Amelia Earhart with Ada Lovelace? A Data Visualization Engineer ready to work with an aviation industry partner. Reaching new heights and shattering the glass ceiling is the modus operandi for many women, and what better role models than the ladies listed. Creative, free-spirited, pioneering, and well before their time in thoughts and action. Ada Lovelace, now attributed as the first computer programmer saw beyond the automatons of her day. She saw beyond the Berullean language in front of her she was translating. A poet father and a passion for numbers collided into her thoughts and as we marvel at AI making art, writing stories and music, and winning strategy games, we have one lady to thank. Ada. She might also be called the first Data Visualization Engineer. Don’t you think? Insightful Business Decisions are Key in Collaboration Data professionals are no longer siloed from other departments in business allowing for collaboration between teams. In partnership between both technical and non-technical employees, businesses can be sure they’re teams have a single vision to help realize business objectives and goals. The collaboration between Ada Lovelace and Charles Babbage may not have been business-related, but the ideas are the same. He passed her the document and asked her to translate, she made notes, and those notes have made history. Together they created a vision for The Analytical Machine – it exists only on paper, but it’s design, layout, and potential implementation are realized in ways unimaginable to most 100 years ago.Ada’s mathematical prowess was such that she wrote her notes in easily explainable language.She worked closely with Charles Babbage and wrote in earnest to work with Michael Farraday – she reached out to others in her field, some accepted, others didn’t. How Data Helps Inform the Future Whether you use predictive modeling, machine learning, natural language processing, or some combination of each, the data you collect helps to inform the future. We may often lament the old adage that those who don’t know their history are doomed to repeat it, but history has a shining light as well. Collaboration across the ages. Consider this. Alan Turing, the man who worked in Bletchley Park with the Enigma machine, used the notes he found to help him solve the problem. Those notes belonged to Ada Lovelace. The information she set to paper informed every stage of computer programming leading to what we know today as Artificial Intelligence. Machines that could learn and ‘think,’ not just the automatons of her age which had been ‘programmed to perform.’ The Enchantress of Numbers Known as the Enchantress of Numbers, the pioneering Ada Lovelace shares the spotlight with other pioneering women in the sciences. Think Madame Curie, Joan Clarke, even Hedy Lamarr, and of course Amelia Earhart. They weren’t of the same eras, but each of their contributions have added to what we know as the Science, Technology, Engineering, and Mathematics (STEM). We have a name for it now, but it’s always been around. And the collaborative efforts of women everywhere are growing and increasing diversity and inclusion in many businesses across the world. And at the heart of it all, in the beginning, a surprising and time-defying collaboration began. It set in motion a spark of business intelligence and insight as men and women mentored and partnered for the sake of their vision of the future. Who will be remembered one hundred years from now? If you’re interested in Big Data, Web Analytics, Marketing & Insight, Life Science Analytics, and more, check out our current vacancies or contact one of our recruitment consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
22. October 2020
2020. It sounds like the name of a futuristic science-fiction movie or TV show, doesn’t it? Maybe it is. And like our favorite sci-fi flicks there are cutting edge changes happening in real time. We’re the characters in this story and the Computer Vision and Artificial Intelligence partnerships in healthcare are moving fast to help us take care of ourselves. When computers can see what we can’t. When AI can help us make more informed decisions. When the two are combined to help doctors and providers work more efficiently to save lives, that’s when the cutting-edge shines. From the collaboration of Johns Hopkins, the CDC, and the WHO mapping out the data to contact traces to medical professionals on the front lines, we’ve been focused on one thing. Saving lives. But, what about the other medical issues that affect us? Heart disease. Cancer. Neurological illnesses. What if the latest advances in healthcare could help here, too? Five Ways Computer Vision Helps Healthcare Providers Identifies leading causes of medical illnesses in a time-sensitive manner by creating algorithms for image processing, classification, segmentation, and object detection.Develops deep learning models to create neural networks.Collaboration of teams of scientists working together for the advancement of projects and present findings to business leaders, stakeholders, and clients.Allows providers to spend more time with their patients.Optimization of medical diagnoses using deep learning so doctors can spend more time with patients to help see and solve the problem faster. Computer Vision Engineer Meets AI Professional Artificial Intelligence (AI) offers real world answers in healthcare the world needs today. Computer Vision Engineers build the means to which AI helps providers, patients, and leaders make informed decisions. Core requirements for both roles include, but aren’t limited to: Experience in machine learning and deep learning.How to build computer vision algorithms and probability models.Problem-solving skills, creativity, ingenuity, and innovation.Languages like Python, R, Hadoop, Java, and Spark.Be able to see the big picture while at the same time finding the devil in the details. Always striving to improve, to make better, to advance the technology within the industry. The Challenges and the Potential of Technology in Healthcare At the moment, Computer Vision, AI, and other healthcare technology models are localized to individual placements. The next step is to have these technologies ‘speak’ to each other across hospitals, provider’s offices, telehealth applications, and electronic health records management for a more cohesive benefit of care. As this year rounds to a close, we know the vulnerabilities of our healthcare system, and can find solace in the though that technology is bringing it forward at lightning speed. Automation and telehealth appointments have made it a breeze to talk to our doctors and get results faster. We can pay our bills with the click of a button and even carve out a payment plan, if need be. All without leaving our homes. The data now available to us and our providers offers a foundation, a benchmark of information, so our doctors can make more informed decisions. This data goes beyond the individual, it helps set a precedent for not only individuals, but also entire populations, to help us identify future health issues, epidemics, and pandemics. Stored data is private and stays within its construct of hospital or doctor’s office, but from it we can create models to plan for the future. Want to make your make your mark in the healthcare and tech industry? We may have just the role for you. Check out our current vacancies or get in touch with one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
15. October 2020
Philadelphia. It’s known for it’s Philly Cheesesteak, the Liberty Bell, and where the Constitution was signed. Always on the cutting edge, Philadelphia is a land of firsts. You may or not know this, but one of its firsts was to have the first general use computer in 1946. Is it any wonder then that a company there is building robots to navigate GPS denied environments and was begun by leaders in the Computer Vision space? Beyond the Roomba If you consider the Roomba, the autonomous vacuum that sweeps up pet hair, dirt, and other unwanted product, how does it know where to go? How does it know to go under a table or chair or around a wall to the next room? How does it know to avoid the dog, cat, or you? On nearly the smallest scale, this little round machine is a personal version of simultaneous location and mapping (SLAM). However, the computational geometry method of this mapping and localization technique extends in a wide variety of arcs. Here are a few to get you thinking: GPS Navigation SystemsSelf-driving carsUnmanned Aerial Vehicles (UAV)Autonomous Underwater Vehicles (AUV)DronesRobotsVirtual Reality (VR)Augmented Reality (AR)Monocular Camera...and more There’s even a version which is used in the Life Sciences called RatSLAM. But we’ll visit that in another article. The uses and benefits of this simultaneous location and mapping technique are exponential even with some of the challenges posed by Audio-Visual and Acoustic SLAM. What is SLAM? Essentially, it is the 21st century version of cartography or mapping. Except in this case, not only can it map the environment, but it can also locate your place in it. When you want to know where the nearest restaurant is, you simply type in ‘restaurant near me.’ And soon, a list appears on your phone with a list radiating from nearest location outward. Imagine you’re lost on a hike, you manage to find signal, and soon your GPS is offering directions on which way to move toward civilization. This is Simultaneous Localization and Mapping. It locates you, your vehicle, a robot, drone, unmanned aerial vehicle or self-driving car and puts people and things in the direction it thinks they want to go or should go to get to safety. While mapping is at the epicenter of SLAM Computer Vision Engineering, there are other elements within the field as well. But let’s begin with mapping. Topological maps offer a more precise representation of your environment and can therefore help ensure consistency on a global scale. Just as humans do when giving directions, sensor models offer landmark-based approaches to make it easier to determine your location within the map’s structure and raw-data approaches which makes no assumptions. Landmarks such as wifi or radio beacons are some of the easiest to locate, but may not always be correct which is where the raw-data approach comes in to offer its two cents as a model of location function. Four Challenges of SLAM GPS sensors may not function properly in chaotic environments such as military conflict. }Non-static environments such as pedestrians or high traffic areas with multiple vehicles make locations difficult to pinpoint.In Acoustic SLAM, challenges include inactivity and environmental noise as well as echo. Sound localization requires a robot or machine to be equipped with a microphone in order to go in the requested direction. Five Additional Forms of SLAM Tactile (sensing by touch)RadarAcousticAudio-Visual (a function of Human-Robot interaction)Wifi (sensing strength of nearby access points) Ready to Explore a Robotics and Computer Vision Career? Whether you’re interested in a slam dunk career as a SLAM Engineer or looking for your first or next role in Big Data, Web Analytics, Advanced Analytics & Insight, Life Science Analytics, or Data Science, take a look at our current vacancies or get in touch one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
08. October 2020