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Edition 20: GenAI Trusted with National Security

Justin Dwyer
Aug 12, 2024
Edition 20: GenAI Trusted with National Security

Welcome to the AviaryAI Newsletter!

Thanks for joining us as we explore the intersection of GenAI and finance with practical learnings and the latest relevant insights. Let’s get started.

This week you’ll learn:

  • 🛡️ AI gets security clearance for to transform US defense operations
  • 🏭 AI humanoids hit the factory floor: BMW's bold experiment
  • 🏆 Google's AI scores in table tennis: Implications beyond games
  • 🏦 Unlocking AI potential with your credit union's unique data
  • 💰 AI investment pays off: Financial sector sees major gains

Subscribe to the AviaryAI Newsletter here.

GENERATIVE AI THIS WEEK 
The coolest things we're watching and why you should care

AI Gains Classified Clearance for US Defense
Microsoft and Palantir are partnering to bring advanced AI and analytics capabilities to U.S. Defense and Intelligence agencies through classified cloud environments. This collaboration will allow government entities to leverage powerful language models and data integration tools in highly secure settings, potentially revolutionizing how AI is used in national security operations.

So what?
This partnership marks a significant milestone in AI's trustworthiness for handling sensitive, classified information. For credit unions, it signals that AI technologies are maturing to meet the highest security standards.

Read the full story here

AI Robot Assists BMW Assembly Line
BMW Group has successfully tested AI-powered humanoid robots from, OpenAI-back startup Figure in their Spartanburg plant, exploring potential applications in automobile production. The Figure 02 robot, equipped with advanced AI for autonomous task execution, demonstrated its ability to perform complex tasks independently, including inserting sheet metal parts into fixtures for chassis assembly.

So what?
This breakthrough showcases how AI and robotics are rapidly advancing beyond science fiction into our everyday reality. These machines could make dangerous jobs safer and free up people to do higher value work.

Read the full story here

Google DeepMind’s AI Beats Humans at Ping Pong
Google DeepMind has trained a robotic arm to play table tennis at an amateur competitive level, winning 13 out of 29 games against human opponents. This breakthrough demonstrates AI's potential to master complex physical tasks requiring rapid decision-making and hand-eye coordination.

So what?
This achievement marks a significant step towards creating AI systems that can operate effectively in dynamic, unpredictable environments. Beyond games, this technology could revolutionize industries where split-second decisions and precise physical actions are crucial.

Read the full story here.


THE AI EXECUTIVE'S HANDBOOK

One simplified GenAI concept per week to build your AI Acumen

The Power of Proprietary Data
Why Credit Unions Need Their Own AI

AI built on proprietary business data is set to create massive waves of innovation and competitive advantage. Here’s what this means for credit unions.

Every day, credit unions generate vast amounts of unique data:

  • Member transactions and interactions
  • Loan applications and approvals
  • Financial product usage patterns
  • Member service inquiries and resolutions

This data is a goldmine of insights that general AI models simply can't access.

An AI model trained on your credit union's proprietary data will understand:

  • The unique needs of your member base
  • Local economic factors affecting your community
  • Your credit union's specific products and services
  • Regulatory requirements specific to credit unions

With this proprietary data, custom models can outperform general purpose AI:

  • The more proprietary data a model has, the more capable it becomes over time.
  • Proprietary data-driven AI can be your credit union's moat, offering services and insights that larger banks or fintech startups simply can't match.
  • Using your own AI trained on your proprietary data means sensitive member information never leaves your control.

AviaryAI is dedicated to empowering credit unions to leverage their collective data strength while safeguarding individual privacy. Looking to collaborate? Let us know at info@helloaviary.ai

GENERATIVE AI WORD OF THE DAY

Multi-Modal AI

Multi-modal AI is a type of artificial intelligence that can understand and process information from different types of input, or "modes," such as text, images, audio, and video. Unlike traditional AI systems that focus on just one type of data, multi-modal AI can combine and analyze various forms of information to gain a more complete understanding of a situation or task. This ability allows it to perform more complex and human-like tasks, such as describing what's happening in a video, answering questions about an image, or creating art based on written descriptions.

GENERATIVE AI IN FINANCE

The latest news at the intersection of GenAI and Finance

AI Investment Pays Off
86% of Early Adopters See 6%+ Growth

A recent survey by Google Cloud and the National Research Group reveals promising results for enterprises adopting generative AI.

The survey included 2508 senior leaders of global enterprises with $10M or more in revenue and found:

  • 61% of surveyed enterprises use gen AI for at least one application
  • 74% of companies using gen AI saw ROI within a year
  • 86% reported revenue growth of 6% or more
  • 45% average productivity improvement

Financial services particularly stood out, with 82% of respondents in this sector reporting growth in customer leads and acquisitions due to AI tools.

However, the survey also points to challenges, including the need for comprehensive strategies, workforce training, and balancing increased productivity expectations with employee well-being.

So what?
Generative AI is now showing a return on investment for early adopters. However, the real challenge lies not in adoption, but in integration - seamlessly blending AI capabilities with the credit union's unique value proposition of community focus and personal relationships. Credit unions that can strike this balance, investing in both technology and human capital, stand to gain enhanced ability to serve their members, deepen community connections, and fulfill their mission more effectively in an evolving financial landscape.

Read the full story here.

About AviaryAI

AviaryAI is the next evolution of financial interaction. Enhance your team with proactive outbound voice agents to welcome new members, encourage credit card activations, and drive non-interest revenue.

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Edition 20: GenAI Trusted with National Security

July 28 - Aug 3: OpenAI releases Advanced Voice Mode, pushing the world of voice interaction a step forward. Plus, a new way for executives to think about GenerativeAI, JPMorgan's aggressive AI adoption, and Taco Bell's AI Drive Thru. All this and more in Edition 19 of the AviaryAI Newsletter.

Welcome to the AviaryAI Newsletter!

Thanks for joining us as we explore the intersection of GenAI and finance with practical learnings and the latest relevant insights. Let’s get started.

This week you’ll learn:

  • 🛡️ AI gets security clearance for to transform US defense operations
  • 🏭 AI humanoids hit the factory floor: BMW's bold experiment
  • 🏆 Google's AI scores in table tennis: Implications beyond games
  • 🏦 Unlocking AI potential with your credit union's unique data
  • 💰 AI investment pays off: Financial sector sees major gains

Subscribe to the AviaryAI Newsletter here.

GENERATIVE AI THIS WEEK 
The coolest things we're watching and why you should care

AI Gains Classified Clearance for US Defense
Microsoft and Palantir are partnering to bring advanced AI and analytics capabilities to U.S. Defense and Intelligence agencies through classified cloud environments. This collaboration will allow government entities to leverage powerful language models and data integration tools in highly secure settings, potentially revolutionizing how AI is used in national security operations.

So what?
This partnership marks a significant milestone in AI's trustworthiness for handling sensitive, classified information. For credit unions, it signals that AI technologies are maturing to meet the highest security standards.

Read the full story here

AI Robot Assists BMW Assembly Line
BMW Group has successfully tested AI-powered humanoid robots from, OpenAI-back startup Figure in their Spartanburg plant, exploring potential applications in automobile production. The Figure 02 robot, equipped with advanced AI for autonomous task execution, demonstrated its ability to perform complex tasks independently, including inserting sheet metal parts into fixtures for chassis assembly.

So what?
This breakthrough showcases how AI and robotics are rapidly advancing beyond science fiction into our everyday reality. These machines could make dangerous jobs safer and free up people to do higher value work.

Read the full story here

Google DeepMind’s AI Beats Humans at Ping Pong
Google DeepMind has trained a robotic arm to play table tennis at an amateur competitive level, winning 13 out of 29 games against human opponents. This breakthrough demonstrates AI's potential to master complex physical tasks requiring rapid decision-making and hand-eye coordination.

So what?
This achievement marks a significant step towards creating AI systems that can operate effectively in dynamic, unpredictable environments. Beyond games, this technology could revolutionize industries where split-second decisions and precise physical actions are crucial.

Read the full story here.


THE AI EXECUTIVE'S HANDBOOK

One simplified GenAI concept per week to build your AI Acumen

The Power of Proprietary Data
Why Credit Unions Need Their Own AI

AI built on proprietary business data is set to create massive waves of innovation and competitive advantage. Here’s what this means for credit unions.

Every day, credit unions generate vast amounts of unique data:

  • Member transactions and interactions
  • Loan applications and approvals
  • Financial product usage patterns
  • Member service inquiries and resolutions

This data is a goldmine of insights that general AI models simply can't access.

An AI model trained on your credit union's proprietary data will understand:

  • The unique needs of your member base
  • Local economic factors affecting your community
  • Your credit union's specific products and services
  • Regulatory requirements specific to credit unions

With this proprietary data, custom models can outperform general purpose AI:

  • The more proprietary data a model has, the more capable it becomes over time.
  • Proprietary data-driven AI can be your credit union's moat, offering services and insights that larger banks or fintech startups simply can't match.
  • Using your own AI trained on your proprietary data means sensitive member information never leaves your control.

AviaryAI is dedicated to empowering credit unions to leverage their collective data strength while safeguarding individual privacy. Looking to collaborate? Let us know at info@helloaviary.ai

GENERATIVE AI WORD OF THE DAY

Multi-Modal AI

Multi-modal AI is a type of artificial intelligence that can understand and process information from different types of input, or "modes," such as text, images, audio, and video. Unlike traditional AI systems that focus on just one type of data, multi-modal AI can combine and analyze various forms of information to gain a more complete understanding of a situation or task. This ability allows it to perform more complex and human-like tasks, such as describing what's happening in a video, answering questions about an image, or creating art based on written descriptions.

GENERATIVE AI IN FINANCE

The latest news at the intersection of GenAI and Finance

AI Investment Pays Off
86% of Early Adopters See 6%+ Growth

A recent survey by Google Cloud and the National Research Group reveals promising results for enterprises adopting generative AI.

The survey included 2508 senior leaders of global enterprises with $10M or more in revenue and found:

  • 61% of surveyed enterprises use gen AI for at least one application
  • 74% of companies using gen AI saw ROI within a year
  • 86% reported revenue growth of 6% or more
  • 45% average productivity improvement

Financial services particularly stood out, with 82% of respondents in this sector reporting growth in customer leads and acquisitions due to AI tools.

However, the survey also points to challenges, including the need for comprehensive strategies, workforce training, and balancing increased productivity expectations with employee well-being.

So what?
Generative AI is now showing a return on investment for early adopters. However, the real challenge lies not in adoption, but in integration - seamlessly blending AI capabilities with the credit union's unique value proposition of community focus and personal relationships. Credit unions that can strike this balance, investing in both technology and human capital, stand to gain enhanced ability to serve their members, deepen community connections, and fulfill their mission more effectively in an evolving financial landscape.

Read the full story here.

About AviaryAI

AviaryAI is the next evolution of financial interaction. Enhance your team with proactive outbound voice agents to welcome new members, encourage credit card activations, and drive non-interest revenue.

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With AI Today