With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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US$115000 - US$130000 per annum
Ann Arbor, Michigan
The leader of industrial robotic guidance is growing their team--great opportunity for an experienced Parallel Processing engineer to lead!!
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 Blogs & News portal or check out our recent posts below.
At a Yale University speech several years ago, Peter Thiel, the founder of PayPal joked, “We wanted flying cars, instead we got 140-characters”. Well, flying cars are still in the future, and so are self-driving cars. Yet, some autonomous vehicles have found homes in the most unlikely of industries. The rules and regulations which keep our roads safe are also hindering our ability to realize self-driving cars. Yet, safety measures abound ready to ‘plug-and-play’ the safe handling of you in the driver’s seat and those with whom you share the road. Hands off the steering wheel, of course. Three Ways Computer Vision is Preparing for Driverless Cars 3-D Mapping for RealTime Learning – much like your backing camera on your latest automobile, car cameras can also record live footage to map their environment. From this Data, autonomous vehicles can spot obstacles or determine alternate paths.Sensing Obstacles and Objects – using sensors to determine what the obstacle or object in the road is – whether it’s pedestrians, other vehicles, or even something as simple as a loose bag or cardboard flap. If it’s something you’d have to drive around to avoid hitting, shouldn’t your car know this, too?Gathering Detailed Data – can help your self-driving vehicle identify traffic lights, road conditions, and congestion. Each of these elements are steps to a more reliable experience, once driverless cars come on the scene. In the meantime, there’s an old industry bringing machine and human together like never before. Building for the future is employing robotics, AI, and Computer Vision technologies for seamless integration. Building Technology: Computer Vision Meets Construction Sites It’s backbreaking work to move dirt from one place to another, but if you’re going to build, it’s the first thing to be done. It’s also the most repetitious and mundane. Enter autonomous heavy equipment. These machines prepare the sites for the human crews who will come in later to do the building itself. Before panic sets in that robots are replacing people, understand that people can still move faster than these large machines. The idea behind automating processes is to ensure projects remain on schedule using consistent, reliable resources; man and machine working together. Yet, there is one place where man shines and machine does not. Controlled chaos and changing conditions. The Computer Vision elements employed here can help systems to recognize things such basics as utility lines and variances such as historical artifacts. Finding something like an archeological site or historical artifact can stall or stop a project. But whether the site’s on track to finish on schedule or a glitch throws a curveball into the schedule, the site still needs to be protected. Who better than a drone? Safety First – Construction Site to Driver’s Seat Autonomous vehicles whether on the road or in the sky offer a unique view of their environment. Just as driverless cars are employing 3D mapping and object identification, drones are being used to help navigate and manage construction-size projects. Below are a few ways they’re making waves: Predictive Modelling using Computer Vision - predict how much on-site material may be needed.Put together prefabricated partsTrack progress and watch for things like structural issues, number of trucks entering a site, even if teams are following best practices. Though driverless cars are still future forward ideas, driverless trucks, and other autonomous heavy equipment are in the driver’s seat. Making the idea of working with machines exciting to the professionals in the industry is one way to make the idea more palatable. The move to intelligent, more reliable systems to keep projects and people on track, on budget, safe, and to ultimately solve a problem offers bold solutions for the future. If you’re interested in Big Data, Analytics, Life Sciences, and more opportunities in the Data professional’s industry, Harnham may have a 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 email@example.com. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to firstname.lastname@example.org.
10. December 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 email@example.com. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to firstname.lastname@example.org.
08. October 2020
We make micro adjustments every day to what we wear, how we shop, and how we drive. Our healthcare and industrial verticals are working with AI and Computer Vision to enhance our experiences from the user to the professional. There are a variety of computer vision applications to make life easier, more efficient, and safer. In other words, our computers have eyes. Every industry, it seems, is now touched by Computer Vision. From retail to healthcare to agriculture to banking, AI technology combines with deep learning and machine learning to help computers “see” where a car goes, an individual’s health, and what outfit might look best for any given outing. So, let’s take a look at some of the industries currently using Computer Vision. AUTOMOTIVE Human error and distractions often lead to car accidents and fatalities. According to the WHO, it’s estimated traffic accidents will be the seventh leading cause of death by 2030. To help alleviate this prediction, there is work being done on a self-driving car with sensor technology. Though autonomous cars have been tried before, this next incarnation has worked to ensure it can detect not only other cars and other large obstacles, but also pedestrians and cyclists at a distance. As it navigates through the streets autonomously, it follows traffic regulations as well as detect hand signals, and more. Efforts to train the vehicles use deep learning to predict, plan, and map its way through various scenarios. HEALTHCARE The advent of Computer Vision in technology has been a boon to the industry. It can help determine conditions of illness, reduce or eliminate misdiagnoses, and can even monitor blood loss during medical situations. Captured images on items such as surgical sponges can be processed using Computer Vision using Machine Learning. In comparison with the human eye, the computer’s estimates were more accurate. RETAIL Retail has been at the forefront of many changes within the tech industry. And now, as online shopping, e-commerce, and virtual events take over traditional venues and brick-and-mortar stores, even the task of trying on clothes has gone virtual. From a virtual mirror which uses Computer Vision to help identify what outfit looks best. What may be most appropriate in what situation. Something like a movie montage, but in real time for a real person. Retail takes things a step further by stepping up security. Using Computer Vision, retail security apps can monitor what is being recorded, what has been taken from shelves, and items being fake scanned. This information and knowledge can lead to reduced theft and other losses in stores. While other industries such as banking and agriculture have also seen a rise in Computer Vision, it’s the above which we might see in our day-to-day lives sooner rather than later. ONE FINAL THOUGHT Business processes have shifted online, looking for your next job has become more daunting than ever before. But here’s the good news. Everyone’s on the same page. Leaders, hiring managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running. In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology, and particularly biotechnology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path. If you’re interested in Big Data & Analytics or other Data professional opportunities, 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 email@example.com. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to firstname.lastname@example.org.
25. June 2020
It may seem like every new decade we have a new technology to master. But what if we’ve flipped the script? Now AI has a new technology to master. I'm talking about Computer Vision. Just like humans learn to identify shapes into objects as children, so too, must the technologies we’ve created. Why? Because autonomous vehicles need to know the difference between a tree and a person holding their grocery bags. Because manufacturing bots need to identify defective products before they go to the public. And in healthcare, Computer Vision can help us identify disease, help doctors make diagnoses, and dig deeper into what makes humans human. Three Trends to Watch Already, systems have a 99% accuracy rate at emulating human sight. Like our own calculations when we “see” an object, machines will have to process, analyze, and understand the image as well. Thanks to Machine Learning and Neural Networks using pattern recognition, this is possible. What could this mean for the healthcare industry? Imaging Devices like X-Rays and MRI Machines will get smaller and more mobile. This trend will allow simpler imaging, quicker workflows, and live imaging for quicker diagnoses.Next Generation Phenotyping (NGP) allows predictive diagnoses using Computer Vision and Deep Learning to analyze data at the molecular level. Telemedicine to open greater access to your doctor rather than the traditional brick-and-mortar doctor’s office visit. Electronic Health Records (EHR) for a patient profile gives direct access to patient information and could reduce the cost of logistics and gaps in expertise. And Remote Patient Monitoring (RPM) allows for real-time medical decisions to flow between patient-doctor without the ubiquitous red tape traditional medicine brings. Recent advancements in visual technologies will have a strong impact in a variety of industries. But it’s in the healthcare industry, Computer Vision, AI, and IoT will particularly shine as the technologies converge for greater progress in healthcare. AIoT and Image-Based Data Converge for Improved Outcomes There are such a variety of uses for Computer Vision in medicine, it can be hard to imagine where it can't be used. When you consider how much medical data is image-based such as mammograms, MRIs, CT Scans, X-Rays, and Echocardiograms, it’s easy to see how patients will benefit. Imagine getting an early diagnosis to stop the spread of cancer or stopping dementia in its tracks. These systems alone can assist with surgery, identify problems early, and more. When your medical team of institutions, providers, and patients have access to these systems and truly partner, then this becomes the future of healthcare. Add to improvements in computer vision, the rapidly advancing technologies of AI, and IoT and watch how quickly problem-solving scenario outcomes improve across all industries. Much like the last convergence of mobile phones and the internet, AIoT will usher in a new era of human history in similar fashion. Risk and Reward of AIoT, ML, and Computer Vision With greater advancement, comes greater risk and reward. As sensors and connectivity multiply across devices and industries, renewed focus should include privacy and security. Such large volumes of Data, even within the healthcare industry, can be targets for hackers as well as government entities. It may seem strange to consider this in the light of the healthcare vertical, but imagine the repercussions of denials due to medical issues or the inverse of identity theft. The convergence of AIoT and Computer Vision technologies use complex algorithms for predictive analytics. Add Machine Learning into the mix and watch workflows streamline, simplified problem-solving unfold, and improved reliability and sustainability of data capture and how it can enhance an organization’s processes. In the cumbersome world of healthcare and its institutions, Computer Vision, AI, IoT, and Machine Learning offer a simpatico balance between patient and provider that flips traditional healthcare upside down. Advancements within the last few years and in the coming decade are primed to bridge the gap between patient and provider. But it’s going to need Data professionals who have a passion for the industry and can guide these technologies to the next stages in their development. The Computer Vision industry is supercharged and is expected to reach $48.6 billion by 2022. Ready to see where the latest technologies can take you? If you’re interested in Computer Vision, Big Data, and Analytics, Robotics, and more, we may have a 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, call (415) 614 - 4999 or send an email to email@example.com. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to firstname.lastname@example.org.
27. February 2020
For years, we’ve been blending tech with tradition as technological advances have moved us forward. At the heart of it all are Data, the Internet of Things (IoT) and the Industrial Internet of Things (IIoT). Demand is high for advanced connected devices and at the industrial level, this means robots. According to market reports, the smart robot market is expected to be worth just over $14 billion by 2023. As we reach the turn of the decade, there are a few other trends to be mindful of as well. These include such disruptive technologies as automation, phygital spaces, smart buildings, and digital twinning to name a few. While disruption may often be evocative of something negative. In the tech world, it isn’t. But how the technologies are used and what they’re for may change our world, not unlike the invention of electricity changed the world of agriculture into the Industrial Age. With that in mind, here are some of the most disruptive technologies for 2020: Robots & Automation It’s almost a broken record, isn’t it? How quickly technological advances are marching across our landscape of connected devices? But the immersion of these devices into our lives offer a variety of interactions far beyond that we’ve so far imagined. AI-enabled robots, for example, are able to interact and respond to time crunched human situations. There’s more to robots and automation than meets the eye and the additional technologies just might have the answers to the challenges we are facing and will face in the future. Phygital Spaces What if you could go to a baseball game with the experience of being at the game without leaving your couch? What if you could watch a race as though you were a participant? What if…? What if the technology to do this was already here? Enter phygital spaces, the blending of physical spaces and digital technology by bringing together AR, VR, mixed, and human reality. Ready, Player One? Predictions are in for the growth of the AR/VR Industry to a $160 billion industry in the next three years. Smart buildings Since 2000, the smart building market has been expanding. Voice Assistants, smart home tech, and IoT allow you to check on your home’s safety from a remote location, control your temperatures, and even let the cable man in (if you still have it) without ever leaving your office. However, immersive experiences are also becoming part of business management systems as well. The common denominating factor in these new advances? Where once you controlled each stage, now, based on preferences, changes will be made by measuring heat signatures, time of day, or some other assigned metric. Safety & Security Come First As exciting as these advances are, there is one important thing to remember. While robots have become smarter and we offer an abundance of Data to varying degrees for our convenience, robots are not human. They may be able to reason in bits and bytes, but moral reasoning remains an entirely human endeavor. GDPR in the UK. Data Privacy Regulations state by state across the United States. They are steps in ensuring your Data’s safety and security, but as we increasingly combine and blend robots and automation, AR and VR technologies, digital twinning, voice assistants, and more across our connected devices its important to be aware and careful what you do on networked systems. No matter how strong your password, no matter how secure your system, everything can be hacked. Want to get a jump on your 2020 job search? If you’re interested in Computer Vision, Robots and Automation, Big Data and Digital or Web Analytics, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert 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.
28. November 2019
Remember the bicycles piled in the yard that showed where your friends were? What about the jingle of coins in your pocket as you headed to the arcade? Stranger Things may have recalled these distant memories, but what if you could still see bicycles piled against your neighbors’ door or listen to the jingle of coins as you played with your friends? This is Augmented Reality and its aim now is to get you off the couch, exercising, playing, and enjoying camaraderie. Ready, Player One? Five Trends to Watch As we navigate the next stage of our virtual and augmented realities, there are a few trends to watch. AR, VR, and AI Will “See” Objects - Augmented Reality (AR), combined with Artificial Intelligence (AI) and Computer Vision, will help computers “see” and label what’s being seen. Machine Learning will ramp up to offer increasingly correct identification of objects whether it’s the dinosaur exhibit at the natural history museum or connects the dots for stargazing in a planetarium.VR Gets More “Real” for the Mainstream – In other words, developers are able to offer more immersive experiences. New developments in hardware technology, such as eyeball tracking and field-of-view help power the idea users can interact and explore less like a video game and more like real-life.AR Can Help Keep Your Eyes on the Road – Remember KIT? The car who talked, could self-diagnose, and navigated with barely a hand on the wheel? It’s not so far-fetched now as it once seemed as vehicle manufacturers increasingly opt for voice assistants and some begin to offer graphics’ overlay of footage around the car. Others go a step farther, projecting data onto the car windshield, assisting with navigation, lane identification, and potential hazards along the way.AR-Based Entertainment Branches Out – No more piled high pizza boxes, sitting in the dark of your parent’s basement. AR today is about getting moving; physical activity and balancing tech life with real life. Toys and Gaming companies are on the bandwagon to get families moving. Location-based gaming has grown by leaps and bounds as has interactive projection-based technology. Some applications can transform your immediate environment into an immersive gaming experience while others can transform playgrounds which, when unlocked by parents, can offer choose-your-own adventure types of projects to complete. Enter whole being of mind, body, spirit. And we’ve barely scratched the surface.Worldbuilding, Personalized Character Building, and Augmented Board Games – Each of these are about bridging the gap between the physical and digital world and is most changed when it comes to board games. As exciting as these trends are, it’s not all fun and games when it comes to the next advances of AR. This technology is also being used to help discover early onset of Alzheimer’s and most recently has found its way into the operating room. Or at least, it will be soon as companies look to bring the AR and VR technologies into the OR. Training and Teaching with AR AR & VR technologies are being used for teaching and training in just about every industry it seems. From Walmart to the Military, business is seeing the benefits of allowing individuals to practice their roles without the associated real-world risks. But when it comes to the healthcare industry, this is where AR begins to really shine. What if we could predict not only detect early onset dementia, but catch the onset of mental illness as well? One company, recently cleared by the FDA, is working toward just that, with the specific goal of predicting Alzheimer’s early. With an estimated cost of around $290 billion which could rise to over $1 Trillion by 2050, their claims of 94% accuracy in detection 6 to 10 years early is good news for families. Memories are how we share our stories and no family wants to miss theirs. Could technology as disparate as it once made us be bringing us closer together? With these latest, that just may be the case. So, whether you want to let out your inner child, practice a new skill without real-world ramifications, or simply know your memories will be with you for a lifetime, AR offers something for everyone. Every industry. Every business. It has infused our world and is breathing life back into our lives. Want to be the wizard behind the curtain, the Data Analyst to know what’s next, or the Data Engineer who builds the next great technological advance in the AR spectrum of services and capabilities? We may have a role for you. 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.
08. August 2019
Chicago’s financial troubles have plagued the city since the financial crisis of 2008. Yet, it remains competitive on the financial stage and continues to draw well-known financial institutions to it. The city itself is a nice balance between New York hustle and mid-western hospitality. Imagine you’re a customer at a Chicago bank. Everyone knows your name, your spouse and your children. They ask how your family is doing and open a conversation setting you at ease. You feel comfortable, answer their questions, and from the data you give them, they offer you a product or service perfect for your needs. To them, you’re not numbers on a computer. You’re a person. Now what if that same banker could gather computer data and still make you feel like a person? Know Your CustomerCustomers used to insight gathering from marketing and advertising are finding the financial services industry is evolving as well. Every company, no matter the industry, knows the key to better customer service is to “know your customer”. The more a company knows about their customer; their needs, desires, and means to that end can help financial services companies not only identify products and services, but also ensure a repeat customer who just might spread the word. Word-of-mouth advertising is worth its weight in gold if the information learned can be used to improve the customer experience.Shifts in the financial services industry due to advances in technology, the rising cost of doing business, and stringent regulatory requirements all add to the core of customer relationship management (CRM). The challenge is not only in identifying customers, but identifying the “right” customer. Like any brand, financial services want their brand to be where customers turn for guidance, feel safe using their product or service, and recommend to their friends and family.Understanding Your Customer InsightsStruggling to balance between business processes and customer focus, the disconnect remains. From inconsistent data to siloed experiential and institutional knowledge, financial services institutions must find the disconnection in customer analytical insight. Financial services institutions must learn to track behaviors across all channels consistently. Capturing customer interactions in real-time, consistently, and across all channels, institutions may find these interactions can be more quickly understood and leveraged across the enterprise. Translating timely insight into actions can supercharge an institution’s knowledge base of pricing, risk, marketing and product development. The Final Mile in Customer AnalyticsIn today’s technology advanced world, customer information and real-time data can help a business gauge a number of driving forces behind buying habits – whether it’s a pair of shoes, movie tickets, a house, or investment in a stock portfolio. The customer has been redefined offering a balance between knowing your customer as a person and predicting their next action based on gathered data. This balance can help drive product relationship, potential profitability, risk assessment, and garner proactive targeting by not only knowing your customer, but understanding their data.Earnestly turning its attention to a complete understanding of the customer and their value to the organization, the financial services industry can truly capitalize on its customer relationships. This robust understanding of their customer can alleviate risk, grow profitability, and see the institution more fully equipped to deliver outstanding service.We have an opportunity in the mid-West for an experienced Senior Marketing Analyst to join one of the leading finance providers in the US. Take a look at our current vacancies or contact us to find out more.For the East Coast and Mid-West teams please call 212-796-6070, or email email@example.com.For the West Coast team call 415-614-4999 or email firstname.lastname@example.org.
17. October 2017