Synaptiq

25/09/2026

Using AI to reduce preventable injuries from hospital-borne Central Line-Associated Bloodstream Infections ( ) and improve speed of care and patient outcomes:

Together with Microsoft, we built a Machine Vision pilot for hospitals to proactively inform care teams of potential Central Line dressing compliance issues.

CLABSIs are largely preventable infections that occur in more than 400,000 patients annually in the United States alone, resulting in over 28,000 deaths and costing U.S. hospitals $2 billion. A key piece of preventing CLABSIs is maintaining Central Line dressings as clean and intact as possible.

Machine vision is a type of artificial intelligence ( ) that enables computers to derive information from visual inputs. It is able to collect more precise visual data than human vision ever could, and uses processing power to analyze the visual data faster and more thoroughly than the human mind.

Because visual cues play such a vital role in ensuring patient safety and preventing CLABSIs, machine vision has the potential to exponentially enhance care teams’ ability to recognize and respond to possible infections – before the human eye can even detect a problem is present. It also helps providers standardize care for new and existing staff, identify education opportunities, and decrease documentation time.

Read more:
https://hubs.la/Q04ylrqy0

Voices of Healthcare Cloud brings you “Machine Vision Pilot Program for Central Line Dressing Maintenance at Hospitals Integrating Microsoft Cloud for...

21/09/2026

How to get ROI out of AI in the Construction Industry

Our Chief Data Scientist, Dr. Tim Oates will be presenting at the Rocky Mountain CFMA Regional Conference on October 1, 2026 on how artificial intelligence ( ) and machine learning are transforming the and real estate industries.

Dr. Oates will discuss how emerging technologies—especially large language models (LLMs)—are redefining efficiency, accuracy, and decision-making across the construction industry. He will share real-life client success stories of key AI applications in construction, such as:
- Predictive equipment maintenance
- Improving bids and estimates
- Information retrieval from documents
- Employee evaluation and training
- Proposal writing (RFPs)

He will share strategies on how to start smart with AI at your construction firm and scale strategically as well as debunk myths about how much data or technical expertise you need to get started.

Learn more about the conference: https://hubs.la/Q04xWFMq0

03/09/2026

Excited for our CEO Stephen Sklarew to be a part of this one-day executive program “Strategic Leadership in the Age of AI” at Portland State University.

This program is perfect for executives looking to build organizational capability while navigating the “messy middle” of adoption. The day alternates between learning sessions led by practitioners and hands-on activities where we work through your use cases, challenges, and questions.

Register today: https://bit.ly/4x4xMqq

Agenda Highlights:

Jeff Sponaugle, Chief AI and Technology Officer at Surescripts
A Technologist’s Guide to AI for Business Leaders

David Long , VP Digital and Innovation at Portland Trail Blazers
From Efficiency to Value: How the Trail Blazers Prove AI Creates Value, Not Just Captures It

Kristi Flores, Chief Marketing Officer at Accruent
Connecting AI Strategy to Everyday Workflows

Susan Anderson, Chief Services Officer, HR Solutions at Mitratech
Building Competitive Advantage Through AI

Manoranjan A., PhD, MBA Technology Strategy at Google
The Economics of AI: Just Because AI Can Do It, Should It?

Ask-the-Expert panel:
Manoranjan A., PhD, MBA Technology Strategy at Google
Doug Warner, Sr Business Value Advisor at Amazon Web Services (AWS) ,
Stephen Sklarew), CEO at Synaptiq

Brought to you by:
Portland State University - School of Business

Strategic Leadership in the Age of AI Register for the Program Here A One-Day Executive Program Presented by PSU's School of BusinessPrepare Your Organization for the AI FutureThis immersive executive program is built around real stories from practitioners who lead and scale AI in their organizatio...

01/09/2026

The Clinician's Guide to AI: Models, data, and better decisions at the point of care

Join Tim Oates, Ph.D., our Chief Data Scientist, and HeadsUpHealth on Thurs, Sept 17 at 3pm ET to learn how to think about large language models as practical clinical tools rather than mysterious .

See how their usefulness grows as you give them richer, more relevant context — from general health questions, to reasoning about an individual case, to synthesizing longitudinal records, labs, and wearable data.

Register today: https://bit.ly/4h5lzgg

In partnership with Clinical Webinar · September 17, 2026 The Clinician's Guide to AI. Models, data, and better decisions at the point of care. Learn how to think about large language models as practical clinical tools rather than mysterious “AI.” Join Tim Oates, Ph.D., Chief Data Scientist at ...

31/08/2026

How to get ROI out of AI in the Construction Industry

Our Chief Data Scientist, Dr. Tim Oates, will be presenting at the Rocky Mountain CFMA Regional Conference on October 1, 2026 on how artificial intelligence ( ) and machine learning ( ) are transforming the and real estate industries.

Dr. Oates will discuss how emerging technologies—especially large language models ( )—are redefining efficiency, accuracy, and decision-making across the construction industry. He will share real-life client success stories of key AI applications in construction, such as:

- Predictive equipment maintenance
- Improving bids and estimates
- Information retrieval from documents
- Employee evaluation and training
- Proposal writing (RFPs)

He will share strategies on how to start smart with AI at your construction firm and scale strategically as well as debunk myths about how much data or technical expertise you need to get started.

Learn more about the conference: https://hubs.la/Q04vYprR0

26/08/2026

Using data to get ahead of your equipment maintenance will help improve your operational and cost efficiency, key factors in industries such as and .

Watch: https://hubs.la/Q04vtbHT0

Learn from our Chief Data Scientist, Dr. Tim Oates, about the differences between:
- preventative maintenance
- reactive maintenance
- predictive maintenance

Join Synaptiq's Chief Data Scientist Dr. Tim Oates as he describes ...

25/08/2026

It's not too late to join Chief Data Scientist Dr. Tim Oates tomorrow (Wed, Aug 26) at 10am PT to learn how Databricks enables enterprise AI agents by bringing together data, models, retrieval, governance, and human oversight.

Register now: https://hubs.la/Q04vjyhV0

You’ll learn:
- How enterprise AI agents differ from chatbots and standalone LLMs
- Common challenges customers face moving AI from pilot to production
- How Databricks supports trusted data, retrieval, governance, evaluation, and model orchestration
- Real-world use cases that demonstrate business value
- Where human oversight fits into successful agentic workflows
- Practical ways to position Databricks in enterprise AI conversations

The session includes a live example of an enterprise AI agent processing a business request, using organizational knowledge and approved tools while escalating higher-risk scenarios to a human. You'll leave with practical talking points to help identify AI opportunities and have more strategic customer conversations.

19/08/2026

Check out some of the cool work with Databricks that our team is doing for our healthcare clients!

Redact a patient identifier out of an AI agent's context and you've protected it. You've also just broken the agent's ability to know that four different tool calls, a clinical note lookup, a diagnosis code check, a risk score, a care threshold, all describe the same person.

Gary Fisher's latest post looks at Databricks' new Unity AI Gateway, announced at Data + AI Summit 2026, and what it actually closes for healthcare agent deployments: on-behalf-of MCP ex*****on, tunable guardrails, unified tracing. Then it gets specific about the one gap that matters most in healthcare: guardrails detect and remove, but clinical agents need to correlate. The fix isn't less protection, it's a different primitive, deterministic tokenization at the MCP layer, and his post lays out exactly where that belongs and when it's actually worth building.

Read: https://hubs.la/Q04ttlyt0

Unity AI Gateway closes most of the runtime governance gap for healthcare agents; a tokenizing DLP proxy at the MCP layer closes the rest.

18/08/2026

How Do You Turn Data into Positive Business Outcomes?

Learn about the data to AI value chain with Dr. Tim Oates, Synaptiq's Chief Data Scientist and how:

- data leads to insights
- insights lead to decisions
- decisions lead to taking action
- action leads to outcomes

Watch: https://hubs.la/Q04tnpX20

Join Dr. Tim Oates, Synaptiq's Chief Data Scientist, as he discusse...

17/08/2026

Join Chief Data Scientist Dr. Tim Oates on Wed, Aug 26 at 10am PT as he discusses how Databricks enables enterprise AI agents by bringing together data, models, retrieval, governance, and human oversight.

Register today: https://hubs.la/Q04tcwZ50

You’ll learn:
- How enterprise AI agents differ from chatbots and standalone LLMs
- Common challenges customers face moving AI from pilot to production
- How Databricks supports trusted data, retrieval, governance, evaluation, and model orchestration
- Real-world use cases that demonstrate business value
- Where human oversight fits into successful agentic workflows
- Practical ways to position Databricks in enterprise AI conversations

The session includes a live example of an enterprise AI agent processing a business request, using organizational knowledge and approved tools while escalating higher-risk scenarios to a human. You'll leave with practical talking points to help identify AI opportunities and have more strategic customer conversations.

This session will provide practical insights to help you position AI agents with customers and connect platform capabilities to real business outcomes.