Meetup: Stamford BTN - Business Tech Network
About Stamford BTN
Business Tech Network is a community for anyone passionate about Generative AI (GenAI), Business Intelligence (BI), and Data Science. If your work involves transforming data into actionable insights, this group is for you! Whether you're in business, academia, or government—as an analyst, data scientist, developer, engineer, or student—if you're building predictive models, optimization models, reports, dashboards, or visualizations using tools like Python, R, SQL, C/C++, Java, Tableau, Power BI, Excel, Hadoop, and more, this is an ideal space to learn, connect, and grow. Our events feature expert speakers with extensive experience in GenAI, Business Intelligence, Data Science, and Analytics and offer plenty of opportunities to network, and engage with peers.
Cybersecurity Challenges in Machine Learning & Gen AI
Join us for an insightful discussion on the cybersecurity challenges in Machine Learning and Generative AI, hosted by the Stamford Business Technologies Network and sponsored by Benchmark IT.
📅 Date: March 6, 2025 at 6 pm
📍 Location: Serendipity Labs, 700 Canal Street, Stamford, CT 06902
🎤 Speaker: Karun Rajasekharan, Product Security Specialist
Cybersecurity Challenges in Machine Learning & Gen AI
Join us for an insightful discussion on the cybersecurity challenges in Machine Learning and Generative AI, hosted by the Stamford Business Technologies Network and sponsored by Benchmark IT.
📅 Date: March 6, 2025 at 6 pm
📍 Location: Serendipity Labs, 700 Canal Street, Stamford, CT 06902
🎤 Speaker: Karun Rajasekharan, Product Security Specialist
Stamford BTN: Business Tech Network Meetup
Details
As AI and ML technologies continue to reshape industries, they also introduce new security risks that organizations must address. In this session, Karun Rajasekharan breaks down:
Types of attacks on AI/ML – From data poisoning and prompt injection to supply chain vulnerabilities and information disclosure.
Best practices for remediation – How to mitigate risks and build secure AI models.
Key considerations before adopting AI technology – What businesses should evaluate when selecting AI solutions.
AI in industrial settings – The role of AI in manufacturing, logistics, and beyond.
AI in cybersecurity – How AI can both enhance and challenge cybersecurity defenses.
Whether you’re a technology leader, business executive, or security professional, this is a great opportunity to learn, ask questions, and network with like-minded professionals in the Stamford tech community.
Details
You want to learn Python but don't know where to start? You already know SQL, and data wrangling is one of the most critical use cases for Python. Why not start with that? Good news! Python provides many ways to use good old SQL as a first-class query and data manipulation language. In this session, we'll show you how easy it is to use SQL with Python to query non-relational and relational database data, to load data from SQL Server, and write it back. It's so easy, you'll feel like a Python pro before you know it!
Details
Over time SQL Server has accumulated a lot of different options to deal with temporary data. This session will take a look at all of them and compares them in over ten different ways to show which one to use in which case and more importantly which ones to avoid. We will look at tempdb as well as in-memory OLTP. Explore performance, scope, durability, and how to overcome some of the limitations with a particular focus on staging tables.
Special Guest: Thomas Grohser has spent most of the past 27+ years exploring the deeper inner workings of SQL Server and its features while working in the entertainment, pharmaceutical, and financial services industries. His primary focus is to architect, plan, build, and operate reliable, highly available, secure, and scalable infrastructures for SQL Server. Over the years he has managed thousands of SQL Server instances, processing trillions of rows, taking up petabytes of storage.
Details
As the value of data assets surpasses that of even oil in the Age of Information, a patchwork of local and national regulations governing data consent, collection, access, and use is emerging to protect data subjects. Brandon Keaveny, founder and principal consultant of Data Ethics (dataethics.net), will provide an introduction and overview of key elements of evolving data privacy and security regulations. He will focus on the EU's GDPR and California's CCPA regulations as primary examples. This overview is intended for anyone responsible for their organization's data assets, from strategy and policy management to stewardship, architecture, design, data flow, reporting and visualization, marketing, communications, and compliance. You don't want to miss this!
Stamford BTN: Business Tech Network Meetup
Details
As AI and ML technologies continue to reshape industries, they also introduce new security risks that organizations must address. In this session, Karun Rajasekharan breaks down:
Types of attacks on AI/ML – From data poisoning and prompt injection to supply chain vulnerabilities and information disclosure.
Best practices for remediation – How to mitigate risks and build secure AI models.
Key considerations before adopting AI technology – What businesses should evaluate when selecting AI solutions.
AI in industrial settings – The role of AI in manufacturing, logistics, and beyond.
AI in cybersecurity – How AI can both enhance and challenge cybersecurity defenses.
Whether you’re a technology leader, business executive, or security professional, this is a great opportunity to learn, ask questions, and network with like-minded professionals in the Stamford tech community.
Details
You want to learn Python but don't know where to start? You already know SQL, and data wrangling is one of the most critical use cases for Python. Why not start with that? Good news! Python provides many ways to use good old SQL as a first-class query and data manipulation language. In this session, we'll show you how easy it is to use SQL with Python to query non-relational and relational database data, to load data from SQL Server, and write it back. It's so easy, you'll feel like a Python pro before you know it!
Details
Over time SQL Server has accumulated a lot of different options to deal with temporary data. This session will take a look at all of them and compares them in over ten different ways to show which one to use in which case and more importantly which ones to avoid. We will look at tempdb as well as in-memory OLTP. Explore performance, scope, durability, and how to overcome some of the limitations with a particular focus on staging tables.
Special Guest: Thomas Grohser has spent most of the past 27+ years exploring the deeper inner workings of SQL Server and its features while working in the entertainment, pharmaceutical, and financial services industries. His primary focus is to architect, plan, build, and operate reliable, highly available, secure, and scalable infrastructures for SQL Server. Over the years he has managed thousands of SQL Server instances, processing trillions of rows, taking up petabytes of storage.
Details
As the value of data assets surpasses that of even oil in the Age of Information, a patchwork of local and national regulations governing data consent, collection, access, and use is emerging to protect data subjects. Brandon Keaveny, founder and principal consultant of Data Ethics (dataethics.net), will provide an introduction and overview of key elements of evolving data privacy and security regulations. He will focus on the EU's GDPR and California's CCPA regulations as primary examples. This overview is intended for anyone responsible for their organization's data assets, from strategy and policy management to stewardship, architecture, design, data flow, reporting and visualization, marketing, communications, and compliance. You don't want to miss this!