We summarize our top five tips for organizations entering an AI engagement with a vendor.
That’s why we provide information, technology, and product officers with strategic AI services they need to propel success and drive invention.
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.
“Synaptiq proved an invaluable partner in realizing my vision to solve BAL’s challenges related to processing structured and unstructured data, including document images. AI is a powerful lever we can apply to these activities, enabling BAL to be fast, adaptive, and provide unparalleled quality while giving our legal teams capacity to focus on complex issues and client service.”
“Many people claim they have seen UFOs but it’s difficult to obtain unequivocal evidence. In the same way, it’s difficult to identify useful and successful implementations of emerging technologies, from AI to Blockchain to Image Processing. The real-deals are built by unequivocally experienced technologists. The data scientists at Synaptiq provided the AI and Machine Vision experience we needed to build truly transformative tech that will get used by consumers, to the benefit of all.”
“There are not many other industries on a steeper curve to change than agriculture. In the age of big data, we have the opportunity to deliver real-time data about the agriculture market to a diverse client base. Synaptiq is helping us solve some necessary obstacles to providing that information elegantly and affordably.”
“I worked with Synaptiq to crack the code on marketing messaging for internal data related to our marketing automation platform. They were extremely professional and creative in coming up with a solution that worked best for us with our specific buyer personas in mind. After working with them, our email marketing had the improved open rates I was looking for.”
“During our first engagement with Synaptiq I spent several hours with Tim Oates in his office at UMBC. He went the extra mile and invested the time to ensure that he understood the problem we were trying to solve and we developed a close working relationship to deliver the best result.”
“Accountability- The Synaptiq team did a great job keeping our project on task with timely follow-up, delivery and ease of scheduling.”
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.
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 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 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.