collaborative intelligence

Collaborative Intelligence: Leveraging Employee-AI Cooperation

“Collaborative intelligence” is cooperation between humans and artificial intelligence. In the workplace, this synergistic relationship allows both parties to play into their strengths. Humans bring creativity, leadership, interpersonal skills, and judgment to the table, while AI offers rapid quantitative analysis capabilities.

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AI

Will Robots Replace Me? Why You Shouldn’t Fear AI in the Workplace

It’s been an issue since the Industrial Revolution: technology moves quickly and, sometimes, it’s hard to keep up. Today, as artificial intelligence (AI) becomes ubiquitous in the workplace, it’s easy to wonder,
Will robots replace me?
The short answer is, “no, robots won’t replace employees” — at least, not in our lifetimes. But why is this the case? How can we trust this to remain so, with technology growing more advanced every day?

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Sustainability

What You Should Know about AI and Sustainability

Technology is an essential tool for business in the modern, digital world. However, it often demands huge amounts of energy and resources, which adds up to a not-insignificant expense. By helping to design and run energy-efficient products and systems, AI allows companies to benefit not only the environment but also their profit margins. 

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Artificial intelligence

Why Artificial Intelligence Isn’t as Scary as You Think

Danger, Will Robinson. Maybe you saw The Matrix? How about The Terminator, Battlestar Galactica, Westworld, or Lost in Space? These stories all share a dystopian future, roguish anti-heroes, and — significantly — a villain in the form of artificial intelligence (AI) gone bad. SciFi writers from Asimov to Daniel Wilson have long been fascinated by…

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UX

Investigating the Intersection of UX and AI

As an artificial intelligence (AI) consulting firm, Synaptiq understands the importance of user experience (UX). Let’s be honest; AI can be intimidating. People — both consumers and creators — tend to balk at complex, seemingly esoteric terms like “machine learning,” “deep learning,” and “neural networking.” For better or worse, UX can make or break even the idea of AI for some people.

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Sustainability

Emotion AI: Hey, Siri, How Am I Feeling Today?

Apple’s Siri, Amazon’s Alexa, and Microsoft’s Cortana use natural language processing and other artificial intelligence (AI) models to receive, interpret, and answer commands and queries. They even adapt and respond to user vocalizations. This begs the question: can Siri also recognize tone, body language, and emotions? To the disappointment of sci-fi fans everywhere, the answer is no. Siri cannot recognize…

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Sentiment Analysis

Three Ways that Sentiment Analysis Benefits Business

In a broad sense, sentiment analysis means using machines to gauge public, demographic, group, or individual sentiment (hence the name) toward a particular thing, whether that be a product, person, or advertisement. An AI model will intake a set of consumer-generated information — such as reviews on the newest iPhone or ‘tweets’ to the President’s Twitter account — and return the emotions expressed within that content.

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AI

How Businesses Can Ride the AI Wave to Modernization

Leveraging Machine Learning for Your Business Artificial intelligence (AI) is rapidly becoming a technology staple across industries. According to Gartner, “AI adoption has tripled in the past year [2019-2020], and [it is] a top priority for CIOs.” Forward-looking business leaders have noticed that machine learning presents a significant streamlining advantage in areas such as finance,…

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Turbocharge Healthcare Part 2 of 3 : AI and Graph Data

As technology improves, healthcare consumers grow increasingly interested in receiving and participating in medical treatment personalized to their unique lifestyles. Together, graph data and artificial intelligence (AI) enable healthcare providers to make this desire a reality.

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outsourcing AI

Cut Costs by Outsourcing AI Development

Cut Costs by Outsourcing AI Development How can you cut the cost of deploying artificial intelligence (AI) for your business — without sacrificing quality? A skilled, full-time data scientist salary will cost your company at least $200,000 per year (factoring in base salary, payroll tax, workers’ compensation, insurance, and other expenses). And that staggering toll…

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Can AI Turbocharge Your Healthcare Software? Part 1 of 3

Can AI Turbocharge Your Healthcare Software? Part 1 of 3 How can artificial intelligence (AI) turbocharge your healthcare software? The key is “graph data.” In this three-part series, Tom Blue, Ryan Wright, and Tim Oates explore the evolution of healthcare as it relates to AI-powered technology and graph data. The Truth Has Been Right In…

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Update on our COVID-19 AI and Data Research Project

Update on our COVID-19 AI and Data Research Project This is the promised update on our COVID-19 AI and data research project. Just over two months ago, Synaptiq organized a few of its data scientists and outside researchers into a voluntary project related to COVID-19 data. We presented our early work in a webcast with…

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How is AI Bringing About a Fundamental Transformation in Healthcare Today?

How is AI Bringing About a Fundamental Transformation in Healthcare Today? A fundamental transformation in healthcare was well underway when the COVID-19 pandemic struck. According to The Lancet Digital Health study from 2019, “deep learning offers considerable promise for medical diagnostics”. Then the rapidity of the spread of COVID-19, and the disease’s unique ability to…

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Will COVID-19 Accelerate the Adoption of Virtual Patient Care?

Will COVID-19 accelerate the long term adoption of virtual patient care? In response to the global pandemic and stay-at-home orders, healthcare providers began offering alternative options to traditional in-person visits. Temporarily relaxed regulations facilitated this. And while some are betting the trend will stick, healthcare providers will need more than a longer-term change in regulatory…

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remote workforce

Enabling a Remote Workforce with Intelligent Automation

Almost overnight, any company that could enabled remote workforces in response to the COVID-19 pandemic. For many, this meant initiating or accelerating plans to launch video conferencing capabilities, cloud storage solutions, and secure VPNs. Many, too, found renewed enthusiasm for projects related to intelligent automation, systems used to streamline aggregating, extracting, and analyzing information. Prior…

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Discussing Innovation within Financial Services in a Time of Pandemic

How will we see innovation within financial services and other critical industries evolve in this time of pandemic? The world economy has slowed in response to the recent novel coronavirus pandemic. Tourism, food and beverage, and travel businesses have shuttered their physical and virtual doors, for the most part. Some critical industries soldier on either…

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Researchers and AI Practitioners Team Up to Mine Public COVID-19 Information

Information has the potential to impact policy decisions, research directions, and personal decisions alike. Information-overload challenges informed and timely decision-making by increasing the chance of error and confounds decision-making. The key is to ensure relevant, actionable, and precise information is available concisely in near real-time. To help, we formed a team of researchers and AI…

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AI Thought Leadership

Our New AI Thought Leadership Program

We wanted to share some exciting news about our new AI thought leadership program. Since our founding in 2017, we have partnered with over 40 clients to deliver AI, data science, and data engineering services. Given the rapidity of change in this space, it’s important visionaries and thought leaders share ideas and stories about the…

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A Picture is Worth a Thousand Lines in a Table

We’ve all heard “a picture is worth a thousand words”. But is it really? Upon reflection, this truism fails outside of, say, advertising, some works of fine art, and now, perhaps, in the area of computing. When it comes to representing the kind of data we encounter most in life, a picture is worth quite…

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Solve Unique Business Challenges Using AI and Machine Learning

As a recent op-ed in the Hill points out, there has been a marked rise in public interest in artificial intelligence (AI) in recent years. Questions are being raised from the philosophical to the political: Can we create sentient AI? Can robots replace humans? Is the U.S. capable of winning an AI race against other…

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Unlocking the Potential of AI: Learn, Partner, and Question

We haven’t come close to realizing the potential promised by Artificial Intelligence. According to Gartner’s Hype Cycle for Emerging Technologies 2018, which evaluates everything from Smart Fabrics to Blockchain to various AI tech including General and Edge AI and AI PaaS, only Deep Neural Nets (Deep Learning) has reached the “Peak of Inflated Expectations.” That…

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Reduce the Cost of (and Risk to) Adopting AI

One of the major deterrents for any business looking to integrate AI is the price tag. This is not an unfounded assumption… if you’re looking to build an in-house R&D lab, that is. You don’t have to bulk up your own team with six-figure-salary researchers in order to integrate AI into your information infrastructure or…

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AI Should Still be Left to the Experts

And at the moment, those experts come from academia. There’s a misguided assumption that AI is data science. It’s not (although data is the fuel). To truly understand the complexities of these algorithmic models and to customize them to your business needs, you need someone trained at the forefront of machine learning and AI. Every…

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Part 3 of 3: Understanding AI’s Application in Industry – Unique, Streamlined, and Affordable

Simple machine learning frameworks offer valuable opportunities to test AI’s efficacy at streamlining simple business processes. But for most department heads, buying an “AI-in-a-box” solution has hidden costs lurking behind every customization (some even doubt any future for out-of-the-box AI). And for any real deep learning application, customization is key. Until industry has more general…

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HCMx Radio 110: Curation and AI/Machine Learning

Last month we were invited to participate in a podcast hosted by Brandon Hall Group with our client, OpenSesame: Topics and questions include: How AI and Machine Learning technologies are impacting businesses Data as a driver of business objectives Humans and the fear of machine learning How AI and Machine Learning are used in learning…

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AI Product Research Series: Recruiting Research Candidates

Having performed product research for many years at various companies, we can tell you first hand that the hardest part of the process is convincing research candidates to show up. For most product researchers this is the bane of their existence — it requires relentless pursuit like sales or recruiting, lots of administration and coordination,…

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AI Product Research Series: Using Mechanical Turks for Quick Market Research

How many times have you had that sinking feeling that you can’t make an informed or defensible product decision without more information?  Questions arise constantly throughout the entire product development process and so often there isn’t time or budget to conduct formal research.  There are options if you need information quickly, including talking to a…

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AI Product Research Series: Background & Introduction

Last year we embarked on an internal AI product research effort in the marketing software space with a goal of finding a product idea that would provide scale and repeatable revenue.  We had a few data-driven ideas we were kicking around based on our past experiences working with marketers, and we were anxious to determine…

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Personalized Medicine and Machine Learning

Have you ever had a friend recommend a book or a diet or a workout program because “it changed my life!,” only to try it and think … “meh”?  Very often, what works really well for one person doesn’t work for another because we’re all different in ways that are sometimes obvious, but in most cases are…

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Applying Graphs and AI to Hospital Logistics

Several years ago I had the pleasure of working with some doctors at a local trauma hospital on a research project.  As with many organizations that excel at their core mission, the quality of the medical care this hospital offered was truly unparalleled, but many of the supporting functions were in need of optimization.  For…

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Applications of AI in Healthcare

We are passionate about helping people improve their health and are fortunate to work with amazing healthcare clients that have technology products serving providers, patients, and manufacturers.  A decade ago it would have been unthinkable that any commercial organization outside of an insurance company could unlock the value of their health data, but it’s clear…

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Unsupervised and Semi-Supervised Machine Learning

In machine learning lingo, “labeled” data means we have the data and we also know the output that is associated with the data. For example, you’re trying to predict house prices based on features like the square footage and neighborhood of a house. You have labeled data in this case if you also have the price…

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Machine Learning for Better Invoice Routing (or Other Scheduling Problems)

Machine Learning could improve invoice routing [Paper] jamming [in a printer] is what engineers call a “scheduling” problem. Picture a warehouse in which thousands of packages are traveling on intersecting converyor belts. If the distance between the packages isn’t carefully maintained, they will collide and pile up, creating jams. Printer designers solve this problem by…

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Analyzing Large Graph Datasets with Graph Embeddings

Large graph datasets on a chalkboard Relationships are everything – family, friends, mentors, colleagues, business contacts.  That’s true in life in general, but also in a great many applications of data science.  The connections between people, businesses, banks, and accounts can tell you if the flow of money is normal or a case of identity…

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Selling and Delivering Data Science and Machine Learning Projects

The other day a friend asked me, “How do you sell and successfully deliver data science /  machine learning?”  At first I thought it was a simple question; but, as we got into it, I realized there are several key nuances I’ve learned that greatly contrast with the typical software services model. First and foremost,…

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Stopping Cyberattacks With AI: Featured on Engineering Out Loud

Lately, Synaptiq has been collaborating with Galois on preventing cyberattacks using the combined brainpower of artificial intelligence and cybersecurity experts. It’s an exciting project, and the Engineering Out Loud podcast at OSU recorded an episode all about it. Give it a listen at their website, or directly from the embed below. You can also download it…

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Cloud Provisioning Using Deep Reinforcement Learning

Our Chief Data Scientist Tim Oates recently co-published a research paper alongside Zhiguang Wang, Chul Gwon, and Adam Lezzi. Their work points to some compelling evidence that deep reinforcement learning can cut down on the costs of cloud computing. At eight pages, it’s not a dense read, and the results are strong and convincing. You…

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Can Machines Decide What’s Worthwhile?

Is it Worthwhile? As a graduate student I periodically attended talks in the mathematics department. It would always be the same. A professor in the department would introduce the speaker. The speaker would read from a sheaf of papers and occasionally write or draw on the chalkboard. After an hour the speaker would finish and…

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Deep Learning in the Real World

Our own Chief Data Scientist Dr. Tim Oates recently give a talk at the Thug Think conference in Portland, Oregon. He focused in on reinforcement learning, a branch of machine learning with exciting applications. Whether you’re familiar or brand new to the subject, his engaging presentation is going to be of interest to you. If…

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GANs Are Hot- So What Is A GAN?

By Dr. Tim Oates, Chief Data Scientist Generative Adversarial Networks, or GANs, are one of the most exciting ideas in machine learning right now.  Yann LeCunn, perhaps best known for inventing Convolutional Neural Networks, said in a 2016 interview: The most important [new idea in machine learning], in my opinion, is adversarial training (also called…

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How is Learning Even Possible?

By Jitendra Subramanyam We’re surrounded by the successes of machine learning. Self driving cars, sophisticated translation, being able to tell Alexa what music we want…. These sucessses are real, yet for most of us (myself included), they seem magical. As the science fiction writer Arthur Clarke wrote in 1973, “Any sufficiently advanced technology is indistinguishable…

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Exploration vs. Exploitation

By Dr. Tim Oates, Chief Data Scientist There’s a branch of machine learning called reinforcement learning (RL) that deals with making decisions under uncertainty.  It works a little like people do when learning to play a new video game.  You look at the screen, assess the situation, try a few things, see what works and…

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The Value of Going “Old School” in Data Science

By Dr. Tim Oates, Chief Data Scientist When I entered graduate school to work on a Ph.D. in Artificial Intelligence, the outlook for the field was uncertain, with dwindling attendance at the main national conferences and at best a lukewarm job market.  Things could not be more different today!  There’s genuine excitement in academia and…

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