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The CAN Family is Growing
Our team has grown by 9 people, just in the last year!
Meet Our Newest AI Engineer, Duane Tomlinson
Duane Tomlinson started his career in Hospitality Management consulting, where he built his first customer a custom financial management tool with Excel VBA. He continued to keep a foot in coding, later diving deep into python for data science and machine learning.
Duane met Tyler, Ben, Thom and Preston (who all now work at Contemporary Analysis) while he worked for Dataiku and later Atlan, and learned about their shared joy of reading API docs, coding the API's themselves, breaking electronics with experiments, and coding AI Agent logic.
Duane has a wife and two boys (three, if you count his dog.) In his spare time he is learning Rust, experimenting with AI conciseness/continuous awareness, and runs a Christian Electronics Group.
Welcome to the team, Duane!
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Become Highly Technical in 2 Minutes a Week
Why you need to stop looking for the 'best engineer'
And look for the best fit for your organization instead.
Otherbranch has a hot take, and we agree: No, you don't want to hire "the best engineers"
We've been talking about this concept a lot when it comes to tools: don’t buy up all the “best” tools on the market (hello shiny object syndrome). Start by clarifying your actual problems, then choose the tool that solves a problem worth solving. AKA follow the ROI.
The same principle applies to hiring. The tech world loves to chase after the unicorn hire, the mythical best of the best. But in reality, a unicorn won't get most organizations where they want to go. What they need are the right fits: people who match the stage of the company and the work ahead.
The main problem with looking to hire the best engineer?
You're (most likely) going to fail.
And at Contemporary Analysis, getting you the right mix of team and talent is what we do best. We CAN step in to BE your data team, BUILD your data team, or do BOTH.
And if you’d rather level up the people you already have? The Omaha Data Science Academy is here to train your current team and get them fluent in data and AI engineering.
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Around the Data and AI World
Detecting and countering misuse of AI at Anthropic
Last week, Anthropic released a 154 page report outlining bad actors they caught using 'Claude for bad' over the last eight months.
The "Detecting and countering misuse of AI" report organizes the misuse into seven categories:
- Cyber operations
- Surveillance operations
- Influence operations
- Conventional weapons
- Biological misuse
- Scams and fraud
- Illicit distillation
Along with the report, Anthropic released an IOC (Indicator of Compromise) with actionable data that companies or cybersecurity teams can use immediately to improve their detection pipelines.
"We hope that the findings in this report will help other developers recognize similar patterns on their own platforms, give governments and civil society a clearer view of how emerging threats take shape, and strengthen collective defenses." - Anthropic As Professor Dr. Andreas Maier points out:
The report’s concrete IOCs and workflow sketches already equip defenders with new detection hooks; however, the broader implications are structural. As the autonomy taxonomy spreads, security teams will need to augment traditional signature-based defenses with behavioural analytics that can spot “self-modifying malware” and “auto-generated phishing kits.”
Keep reading:
Then forward this to your cybersecurity team (if you don't have a cybersecurity team, reach out to our team.)
Let this also serve as a reminder that what you put into big AI isn't private. If you want to keep your company's intellectual property out of their next training model or public report, we have a tool and solution for you.
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Help Shape AI's Code of Conduct
At least Microsoft AI.
Microsoft AI (MAI) is asking for public consideration and feedback on it's Code of Conduct for Humanist AI.
This Code of Conduct is motivated by a single overriding objective: that humans must retain meaningful control over AI so that it can help people live healthier, happier, and more productive lives. - Microsoft AI The Code of Conduct is organized into 5 parts:
- Mission and the overarching Objectives of Humanist AI that guide how we aim to design, evaluate, and deploy our models.
- Safety Constraints
- Operational Guidelines for how MAI Models act under uncertainty and how MAI Models balance competing Objectives.
- Operational Defaults
- Conclusion including how they developed the document, areas of further work, and open questions.
Review the Code and Conduct and provide feedback.
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Events in Omaha
Analytics After Hours @ The Tipsy Pig
September 30, 4-7:00 PM
A message from Nebraska Data Analytics Forum
Come join us at The Tipsy Pig on September 30th for an evening of drinks, conversation, and networking! We'll have the outdoor patio reserved, so feel free to bring a colleague, friend, or anyone interested in the local data or IT community.
As we all know, there has been a lot of change across the local market recently. With that in mind, we wanted this month's event to focus less on presentations and more on building connections, sharing perspectives, and helping one another navigate what's next.
Whether you're actively hiring, exploring new opportunities, working through a transformation initiative, or simply looking to expand your network, this is a great chance to connect with fellow professionals in data, analytics, AI, and technology. RSVP on Meetup!
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DMSi PartnerConnect Conference
This week our team is supporting one of our clients, DMSi at their PartnerConnect Conference. We've been working with DMSi for a few years now on everything from Sticker AI and ROI AI projects to staff training and developing a company culture around AI.
Learn how just one AI project saved DMSi 2,496 person-hours of work. And if you happen to be at ParternCon, make sure to say hi!
Stay Calm, and Be Highly Technical,
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NATE WATSON
CEO, Contemporary Analysis
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WAYS TO WORK TOGETHER
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Come learn from 6-9pm, what a data scientist did from 8-5pm”
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