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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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How Computer Vision Is Changing Healthcare

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 sanfraninfo@harnham.com. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

Machine Learning and Customer Experience for Business Scalability

Over the last four decades, we’ve feared change. Technophobia. Cyberspace. Smart devices. AI, Robotics and Automation. Each of these transformative shifts have changed our lives in one way or another. But there is a new, unexpected and desperately needed change already in play; putting the human back in our lives.  Human Resources. Human-centric customer service. Humans in cooperation and collaboration with smart technology. Both in B2B and B2C businesses, putting the human back in focus is imperative to success.  Consider Netflix. How it began, how it’s evolved, and how its efforts are seemingly leading the way for next gen personalization. Think: If you like this, then you may like (insert service or product here). Amazon does much the same. Putting the Human Element Back in CX When you call customer service with a concern or problem. What happens? Either there’s no phone number at all and you’re forced to send an email which you hope gets read by a person. Or if you do call, you push buttons trying to figure out which branch of the tree will get you to the correct person.  Chatbots have been one answer but they really only alleviate acknowledgement. We’ve all called a customer service number and spoken to two or more people about our issue. Bill Paterson, EVP of Salesforce, suggests a four-point, human-centric customer service engagement strategy, to help solve the problem.  In addition, his article takes a deeper dive into putting the human back in customer service. At the heart of the matter is putting Emotional Intelligence, care, and empathy back into the equation. Technology may be how people reach out, but it’s a human they want to speak to and connect with. When the two are paired, there’s a much better chance of success. And repeat customers. Pairing Machine Learning with a Human-Centric Touch While strategies and metrics still have a big role to play, there are other ways to measure customer success. Data gathered from your customers will only get you so far, but the human element, the human connection, supported by technology, is the next shift in Digital Transformation.  Machine Learning models can help predict what customers will want or need, but meaningful customer relationships are just as vital. It’s this pairing which can generate great service and scalability of today’s modern business. Though there is a strong underpinning of engineering components in building models, only a portion involves code. Much of the effort goes into the pipeline and workflow systems and infrastructure. It’s at this systems level, Data Scientists can focus on design and implementation of production. This strategy ensures that before building good models, a good foundation must be laid. One portion of this workflow has been called the ‘art of Machine Learning’. The ‘Art’ of Machine Learning  Data Scientists and Machine Learning Engineers have any number of ways to solve a problem. Dealing with such vast amounts of Data within a model is not unlike determining how to scale for a website which needs to handle large fluctuations in web traffic. The nuances of technology within the realm of human experience is an artform. Though in the future, most engineering challenges will be automated and open-source will be a go-to framework. As tools improve and ETL processes improve, ML Engineers and Data Scientists will get the opportunity to focus more on models and less on systems. But beyond the artform of experimentation and intuition is the growing trend for soft skills in tandem with technical skills. Those who can lead a technical team, who can communicate to non-technical professionals, and still have the Emotional Intelligence to navigate the human psyche. It’s these individuals who will be ready for the next step in leading businesses into the next generation of customer service.  Ready to take the next step in your career? Take a look at 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 sanfraninfo@harnham.com.  For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

Reflections On The Watermark Conference For Women

This week I was fortunate enough to head down to the Watermark Conference for Women alongside our SVP, Stephanie Brooks. As we enter 2020 and women continue to shatter glass ceilings, Harnham firmly believe in a proactive approach towards placing more women in Data & Tech roles.  Diversity and inclusion are integral to our story and core beliefs and we strive to continually re-evaluate how we create measurable change in the marketplace and redefine the metrics of successful and excellent recruitment. For us, attending the conference was a chance to meet and learn from some of those women who are leading the way. Every talk inspired me in some way but there were a couple I really connected with, and I wanted to take the opportunity to reflect on how they impact the work we do at Harnham. WHAT IS WATER? One talk that struck a chord with me was Seth Godin’s breakfast keynote, inspired by a commencement speech by David Foster Wallace in which he famously tells a story of two fish out at sea. The story goes: “There are these two young fish swimming along and they happen to meet an older fish swimming the other way, who nods at them and says ‘Morning, boys. How’s the water?’ And the two young fish swim on for a bit, and then eventually one of them looks over at the other and goes ‘What the hell is water?’”. Godin’s speech was meditated on how attitudes and beliefs are the indicators of future success. In his speech, Godin echoed Wallace’s sentiment that “freedom involves attention and awareness and discipline, and being able truly to care about other people and to sacrifice for them over and over in a myriad of ways every day.” Recruitment is an industry where it is easy to swim along without questioning what water or recruitment really is. To question what is water - what is recruitment - requires thoughtful analysis, careful consideration, and of course, “attention, awareness, and discipline”. As the global leaders of Data & Analytics recruitment, we remind ourselves daily that we are responsible for making meaningful change. Water is, to us, what we make of it.  For Seth, his water is marketing. For Harnham, our water is recruitment and we stand by Wallace’s challenge to stay conscious and alive in our jobs. Day in and day out Harnham will continue to make the case for agency recruitment to be diverse and inclusive, as this is in the best economic interest of our clients.   THE ECONOMY OF DIVERSITY One of the most insightful and compelling moments of the day was a conversation between Pat Mitcheel and Indra Nooyi, the former chair and CEO of PepsiCo. Having directed the company’s global strategy for more than a decade, Nooyi is uniquely poised to discuss the importance and power of having women in every capacity within an organization.  During the conversation, she highlighted the statistics that measure the success companies achieve when women have equal representation at all levels. Currently, gender parity exists in entry-level positions but is absent in the 2nd and 3rd tiers of the workforce. While Nooyi highlighted that having a diverse and inclusive workplace should be an integral part of every company’s corporate social responsibility, she argued that this also leads to unprecedented economic growth. This aligns closely with our view of Diversity at Harnham, something which we examined in more detail in our Diversity Report.  For Nooyi, in making the case for the economics of diversity, she used the work of care economists to show how implementing policies that affected the unique interests of women are proven to not only keep women in the workforce and draw them back to work after children but are also shown to increase the economic output of countries. Institutional change at the corporate level and policies focused on those who have care-giving responsibilities have been shown to positively influence economic growth and increase the happiness and productivity of workers.  BREAKING OUT  As a woman working in a fast-paced and competitive environment, I also took a number of insights from the various break-out sessions held throughout the day. Here are a few highlights:  Women Breaking Barriers: Michelle P. King, Andrea McBride John, Pat Mitchell, Samantha Rapoport Find a mentor, be a mentor. Find a sponsor, be a sponsor. Find a sister, be a sister.Take up space and own it Share your successes with the women and men around you Building a Network of Relationships, Not Just Contacts: Laura Okmin Focus on asking people who they are, not what they do Reach out when you don’t need anything, maintain relationships  The Myth of the Nice Girl Nice people build  trust, trust is the foundation of all business relationships You don’t have to choose between kindness and strength If you want to break glass ceilings, we may have an opportunity for you. Take a look at our latest roles or get in touch with one of our expert consultants to find out more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com. For our Mid-West and East Coast Team, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

Surprising Job Search Trends in the Data Industry

One of the things I like to most is to meet our candidates face-to-face. Because most them are local, it’s simple. We call them in and the traditional interview process begins. But, sometimes, the best person for the job or the clients themselves aren’t local.  Enter Zoom or Skype or any such communication method where you can see the person you’re talking to. While it’s a step in the right direction, it’s not the complete step. Why? Because you can’t pick up on those subtle clues you might miss, if the meeting isn’t in person.  Going The Extra Mile for the Right Placement One of my colleagues recently shared a story with me. She’d been working with a candidate via Zoom for a placement in another State. Though the candidate and the client were both in the area, she wasn’t. The communication with the prospective candidate felt right, but she just wasn’t sure. To ensure she was making the right placement, she traveled to meet them. She wanted to meet the candidate to get a better understanding of him before she was able to successfully place him.  Fortunately, it wasn't on the other side of the country, but, it was definitely something that needed to happen. In today’s hyper-digitized world, it's important to remember that the ability to meet in person is an advantage. From the Client’s Side From an office perspective on the client’s side, an in-person meeting offers further advantages. The client can see how the candidate will interact in the actual environment of their business. A birds’ eye view of how the candidate handles themselves in the cultural atmosphere of the business, if you will.  In sharpening their focus, the client can also see how a candidate’s appearance, point of view, and communication side affect their performance at the interview and beyond. We make these snap judgements without realizing it, but they’re important. And you can’t really get a good idea of the person over the phone or via email as it can occasionally be difficult to read a candidate’s intentions.  At Harnham, we have tried to spearhead the interaction point of view for our own relationships. One of the most unique aspects of our business our dedication to the people we place and our clients we serve. So, navigating data-driven trends with our face-to-face culture finds a distinctive focus as we enter the Age of Data 2.0. A Shift Toward Pipeline Experience  With U.S. office locations in both New York and San Francisco, we have a variety of clients from startups to Fortune 500. So, to say one thing is definite in one place or another is a stretch. But, there is a trend, here in New York for professionals with pipeline experience or Machine Learning model development. On the flip side, a growing trend in the San Francisco market has most of their clientele looking for a Machine Learning Engineer profile within the pipeline development lifecycle. So, while we’re (New York) a little bit behind, it’s a trend I’m seeing on both sides of the spectrum within the last six months or so. Though it’s not exactly the unicorn employee, clients seek, there is shift toward higher level oversight. Someone who will be responsible for the entire pipeline.  Demand remains high for a field still facing a data shortage. Though the U.S. still lags behind the U.K. and Europe, it’s catching up. As businesses focus on their data strategies in the new year, below are a few things to consider before you hire or accept.  Top 3 Questions to Ask Before You Hire From the client’s side determine and the role you want to fill. Ask yourselves the following: What’s the objective of the role you’d like to fill? What is the goal?What contribution do you want from the person in that role?What is your timeline to have that person on board? What happens if you can’t fill the role within your timeline? Top 3 Questions for Mid-to-Senior Level Candidates Did you list the business impact of your list of accomplishments? Can you communicate as easily with your Data team as you do with the Executives? Clients are looking for a mix of technical understanding and the ability to communicate to technical and non-technical audiences. Are your projects keeping you engaged creatively? When was the last time you were given a new initiative, new project, or new client to partner with? If not, then it may be time to search or perhaps consider a contractor role for a fresh perspective. If you’re interested in AI, Big Data or Digital and Web Analytics, we may have a role for you. Check out our current opportunities or contact one of our expert consultants to learn more.  For our Mid-West and East Coast Team, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com. 

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