GAIN ACTIONABLE INSIGHTS FROM INDUSTRY LEADERS

Over two days, the Ai4 Cybersecurity conference brings together business leaders, data practitioners, and AI pioneers who are applying artificial intelligence to solve problems and create opportunities in the cybersecurity industry. Thanks to the convergence of modern computing power and data science, the cybersecurity industry is leveraging AI to create entirely new value.

Industry leaders will highlight the most valuable insights by delivering specific use cases. Whether you hold a technical, non-technical, or hybrid role, Ai4 is focused on helping you along on your AI journey, at whichever stage you may be.

A New Kind of Conference

Cybersecurity Industry Specific

A conference built just for you

Practical Use Case Driven

Real insights that you can apply today

Application Only

To ensure quality connections

Curated 1:1 Meetings

Cut to the chase. Meet the right people.

A New Kind of Conference

Cybersecurity Industry Specific

A conference built just for you

Application Only

To ensure quality connections

Practical Use Case Driven

Real insights that you can apply today

Curated 1:1 Meetings

Cut to the chase. Meet the right people.

what you'll learn

Our goal at Ai4 Cybersecurity is to provide a common framework for thinking about what AI means to the industry.

See the below diagram for the AI use cases that we’ll cover at the conference, highlighting the full spectrum of ways you can implement artificial intelligence today. The modern use of AI is less about automating human roles and more about augmenting them.

what you'll learn

Our goal at Ai4 Cybersecurity is to provide a common framework for thinking about what AI means to the industry.

See the below diagram for the AI use cases that we’ll cover at the conference, highlighting the full spectrum of ways you can implement artificial intelligence today. The modern use of AI is less about automating human roles and more about augmenting them.

Tracks

You’ll encounter two distinct tracks that differentiate between technical and non-technical discussions. See below to determine which track best fits your interests and goals.

Both tracks will cover all topics listed above either from the perspective of the business exec (Business Track) or data practitioner (Data Track).

TRACK 1                             TRACK 2                            

DATA TRACK

This track was designed for our technical audience. You can expect a deep dive into the specifics of the machine learning models. Most talks during this track will be in a longer 50-minute format. Hear topics including:

  • Scaling to Big Data
  • Model Interpretability
  • Data Privacy and Security
  • Dealing with Biased Data Sets
  • Productionizing Your Model
  • Cloud v Local Environment
  • Unstructured Data
  • Deep Learning
  • Dealing with Legacy Systems
  • Reinforcement Learning
  • And More!

BUSINESS TRACK

This track was designed for attendees holding non-technical and hybrid job functions seeking to understand the business value of specific AI projects. Most talks during this track will be in a 30-minute format. No technical expertise required. Hear topics including:

  • Understanding AI Capabilities
  • Top Use Cases For AI & ML
  • Scoping Your Project
  • Automation vs Augmentation
  • Compliance & AI
  • Infrastructure Needs
  • Building vs Buying
  • Pilot Programs & Proof of Concept
  • Building Your Data Science Team
  • ROI & Measuring Success
  • And More!

Tracks

You’ll encounter two distinct tracks that differentiate between technical and non-technical discussions. See below to determine which track best fits your interests and goals.

Both tracks will cover all topics listed above either from the perspective of the business exec (Business Track) or data practitioner (Data Track).

TRACK 1                            

DATA TRACK

This track was designed for our technical audience. You can expect a deep dive into the specifics of the machine learning models. Most talks during this track will be in a longer 50-minute format. Hear topics including:

  • Scaling to Big Data
  • Model Interpretability
  • Data Privacy and Security
  • Dealing with Biased Data Sets
  • Productionizing Your Model
  • Cloud v Local Environment
  • Unstructured Data
  • Deep Learning
  • Dealing with Legacy Systems
  • Reinforcement Learning
  • And More!
TRACK 2                            

BUSINESS TRACK

This track was designed for attendees holding non-technical and hybrid job functions seeking to understand the business value of specific AI projects. Most talks during this track will be in a 30-minute format. No technical expertise required. Hear topics including:

  • Understanding AI Capabilities
  • Top Use Cases For AI & ML
  • Scoping Your Project
  • Automation vs Augmentation
  • Compliance & AI
  • Infrastructure Needs
  • Building vs Buying
  • Pilot Programs & Proof of Concept
  • Building Your Data Science Team
  • ROI & Measuring Success
  • And More!

who should attend

Business leaders & data practitioners who are seeking to improve their business using AI.

Common Business Roles:

– CMO, COO, CEO

– VP, SVP, EVP

– Head of [X],  Senior Director, ED

Common Technical Roles:

– CTO, CAO, CDO, CIO

– Data Scientist, Data Architect, ML Engineer

– Tech Lead, Head of IT

Decision-makers from leading companies who are seeking to improve their business using AI.

Common Business Roles:

– CMO, COO, CEO

– VP, SVP, EVP

– Head of [X], Senior Director, ED

 

 

Common Technical Roles:
– CTO, CAO, CDO, CIO

– Data Scientist, Data Architect, ML Engineer

– Tech Lead

Join Applicants From:

SPEAKERS

45+ speakers from leading cybersecurity companies and cybersecurity teams from Fortune 500 firms will take stage over the two days to share their AI initiatives.

Below are confirmed speakers. Check back soon for updates. Please note that in the event of a speaker cancellation, we will do our best to find a suitable replacement. Refunds will not be granted for speaker cancellations.

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Gregory Wilson

CISO, Pioneer Natural Resources Company
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Jason O'Dell

Director of Incident Response, Walmart
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Ricardo Lafosse

CISO, Morningstar
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Vernon Habersetzer

Senior Enterprise Technical Expert, Walmart
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Parthasarathi Chakraborty

Head of Cybersecurity Architecture & Strategy, Guardian Life
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John Prokap

CISO, HarperCollins
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Aaron Blackstone

CISO, Texas Department of Public Safety
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David Billeter

CISO, CA Technologies
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Yossi Barkalifa

CISO, Amdocs
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VENUE

Convene

117 W 46th Street, New York, NY 10036

This brand new venue is located conveniently in Midtown West, featuring close proximity to major transportation hubs, Times Square, and Rockefeller Center.

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About

With increasing data can come increasing confusion. Our goal at Ai4 is to bridge the knowledge gap by providing professionals and practitioners with the resources they need to make key business-shaping decisions in a rapidly changing world. Our organization began hosting technology focused events in 2016 with the launch of the bi-coastal event series Worlds Fair Nano. Through Worlds Fair Nano and Ai4 Events, we have connected 20,000 individuals to the future and counting.