Data Governance Strategy is the Key to AI-Powered Healthcare
We explore why the benefits of AI outweigh the risks, what AI could look like in the healthcare industry of the future, and how healthcare…
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AI services and solutions powered by a team of deeply diverse and experienced professionals is the future of innovation.
That’s why we provide information, technology, and product officers with strategic AI services they need to propel success and drive invention.
Data
Strategy
Differentiate highly valuable data and structured and unstructured data sets to manage data as assets rather than byproducts of business activity.
Machine
Vision
Detect and track objects in immense stores of image and video data with machine-aided insight that penetrates to the pixel level and identifies inferences.
Natural
Language Processing
Efficiently leverage enormous amounts of verbal and written communication to make decisions.
Machine
Learning
Automate and innovate company data to improve efficiencies, increase profits, drive revenue, and more.
Intelligent
Document
Processing
A new, AI-driven approach to automated document classification and data extraction.
Custom
Recommender
Systems
Unique data, content, or user-based recommendations integrated into internal systems or customer facing products.
Graph
Data
Embeddings
Transform real-world and relational data into graph data to expand the depth of information to drive learning models.
FEATURED TECHNICAL PAPER
A Context-Aware Approach to Entity Linking
Entity linking refers to the task of assigning mentions in documents to their corresponding knowledge base entities. This is a critical component in AI services for Intelligent Document Processing. Read more by clicking below.
IDEAS, NEWS, & EVENTS ABOUT AI SERVICES AND SOLUTIONS
How AI is Redefining Radiology and the Medical Imaging Industry
This blog explores documented applications of AI in radiology. Additionally, we discuss AI’s role in the future of medical imaging – how the industry will…
Key Market Drivers Behind Digital Adoption in Construction
This article explores the key market drivers behind AI-led digital adoption in the construction industry. We discuss innovation catalysts including COVID-19, consumer demands, and market…
The Apple of Your AI
This article explores the key market drivers behind AI-led innovation in the food processing industry. We discuss the industry’s changing landscape, including changes to consumer…
“Cultural Readiness”: How to Overcome Stagnation and Bring Skeptics On Board for Digital Transformation in the Legal Industry
Wondering how your law firm can generate cultural readiness for digital transformation? We discuss how to determine your firm’s current level of cultural readiness, overcome…
Our Recommendations for Law Firms Seeking to Craft a Digital Transformation Strategy
The second installment in our series covering AI-led digital transformation for law firms, this article explores our research-based “do”s and “don’t”s for crafting a digital…
Key Market Drivers Behind Digital Transformation in the Legal Industry
Over the next several weeks, we will publish a blog series expanding on the topics covered in this brief, addressing hopes, fears, and goals highlighted…
AI in Healthcare: How Machine Learning Tools Can Supercharge COVID-19 Vaccine Rollout
In this article, we review many of the variables and problems to consider with U.S. vaccine rollout, and propose several AI solutions that could make…
Now is the Time for AI in Construction
This article explores some of the biggest goals construction leaders hope to achieve and the pain points that keep them up at night. Finally, we…
How the Logistics & Transportation Industry Can Lead in 2021 with Artificial Intelligence
The prevalence of repetitive and data-heavy tasks within the LT industry makes it well-suited for AI adoption. This article covers how AI will help craft…
Synaptiq 2020: An Impactful Year in Review
In 2020, Synaptiq wielded AI and data science to advance inspiring ventures from accessible banking in Mexico to life-saving technology n the healthcare industry. This…
Artificial Intelligence Solutions for the Construction Industry: Enhancing Safety, Security, and Productivity in a COVID-19 World
Like many industries, construction has had to adapt to a new reality in the wake of the COVID-19 pandemic. AI technology can help construction companies…
WHAT OUR CLIENTS SAY ABOUT OUR AI SERVICES
CLIENT CASE STUDIES
Dynamic Machine Vision Solution for Improving Construction Site Productivity and Safety
Technological advancements are moving rapidly in the construction space, touching all areas of the ecosystem. With these new technologies and industry-wide digital transformation of paperwork,…
How BAL Uses Intelligent Automation to Deliver Exceptional Client Service
How BAL Uses Intelligent Automation to Deliver Exceptional Client Service In this case study, learn how BAL uses intelligent automation to deliver exceptional client service.…
How We Worked with DICIO to Build Powerful and Proprietary Identity Security
How We Worked with DICIO to Build Powerful and Proprietary Identity Security When targeted by cybercriminals, simple passwords often fail to protect personally identifiable and…
How Farm Journal Used Data Strategy to Transform its Business
How Farm Journal Used Data Strategy to Transform its Business With nearly 150 years serving the agriculture market, Farm Journal had an invaluable wealth of…
Using Machine Vision for Detecting Wildfires
Using Machine Vision for Detecting Wildfires About 4.5 million U.S. homes are considered at high or extreme risk of wildfire. While wildfires mainly destroy unpopulated…
Custom Recommender Systems for Improving Customer Experience
Read about how we used Custom Recommender Systems to help the Chief Technology Officer and product team at a corporate training solutions provider. Our client…
Smart Content for Document Classification in a Secure DMS
Our client planned to migrate millions of digital client-matter files to a DMS. Missing data would have required thousands of manual classification hours, so we…
Machine Learning for Finance Departments
Read about how we used machine learning to help the Director of Billing Services at a global leader for storage and information management services. Our…
Machine Learning for Predicting Project Profitability
Read about how we used machine learning to help the Chief Information Officer and project management team at a large US construction firm predict project…
Conversational AI & Machine Learning for Patient Intake
Read about how we helped the Chief Technology Officer and product team at an electronic medical record company build an app prototype with a personalized…
Deep Machine Learning Applied to Cybersecurity Graphs
Read about how we helped the Chief Information Officer at an IT services company perform flexible similarity-driven search and outlier detection in cybersecurity data. We…
Smart Content Extraction for Mapping Data in Healthcare
Read about how we helped the Chief Technology Officer and product team at a nutritional supplement information provider build an application to intake PDFs, extract…
We provide information, technology, and product officers with strategic AI services they need to propel success and drive invention.
Data fuels AI services and solutions. To leverage data properly requires a PhD-level data scientist. To make it relevant to business requires experience and understanding.
Not every company needs or wants an in-house resource with this level expertise. That’s where we can help. Each engagement is led by one of our 16 data scientists, six of whom have PhDs. These researchers are adept at scoping technical architecture but always remain focused on the unique business goals of each client. This critical combination of abilities allows us to deliver proven value to our clients.
We take a consultative, strategic approach to partnering with each client, tailoring AI services and solutions to best meet their needs. We are here to make sure every company, regardless of size or industry, can leverage the unbeatable advantages artificial intelligence can bring to problem solving.
MORE ABOUT OUR AI SERVICES
Founded in 2015, Synaptiq is a full-scale AI services consultancy. Our growing team of 25 professionals has backgrounds in management consulting, AI research and application, and product development and management. These seasoned experts partner directly with each client to identify and deliver unique and impactful AI services and solutions to real world problems AI services solve best. With over 50 clients in over 20 sectors worldwide to date, we are poised to lead the AI-revolution well into the future.
STEPHEN SKLAREW
Stephen started his career at Ernst & Young LLP and has over 20 years experience as a management consultant and technology product leader at startups and public companies. He built and managed globally distributed teams, created productive partnerships, and led tech due-diligence for numerous technology acquisitions. He sold and delivered services and products to companies in technology, healthcare, financial services, entertainment, automotive and education industries. Most recently, Stephen was CTO / VP of Product at three innovative SaaS-based product companies using big data, machine learning, mobile and cloud technologies. Stephen’s business background is critical to delivering impactful AI services and solutions.
Stephen has a B.S. from Virginia Tech (Go Hokies!). Outside of delivering unique, AI services to clients, he enjoys spending time with his family, hiking with his dogs, and fly fishing.
TIM OATES, PhD
Tim has 25 years of experience as a researcher and practitioner in Artificial Intelligence and machine learning. He’s published more than 150 peer-reviewed papers on topics such as time series analysis, sequence mining, natural language processing, relational and graph mining, medical informatics, and machine vision. He has extensive experience helping businesses extract value from their data, with AI services and consulting engagements in industries as varied as publishing, medicine, fraud, and geospatial analysis.
Tim’s an Oros Family Professor of Computer Science at the University of Maryland, Baltimore County, was a postdoctoral associate in the MIT Artificial Intelligence Lab, and has a Ph.D. in Computer Science from the University of Massachusetts, Amherst. Outside of work, Tim’s a father of two and an avid runner.