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Cisco's AI VP: How to ChatGPT the competition 🥊

Beating your competition with AI, Microsoft to offer AMD chips, EU threatens Microsoft’s Bing AI and more!

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Everyday AI
May 17, 2024

Outsmart The Future

Today in Everyday AI
7 minute read

🎙 Daily Podcast Episode: AI could help scale your company. But if you’re not using it, your competitors definitely are. Cisco’s VP of AI and an AI industry vet gives us the scoop on how to out-ChatGPT your competition. Before they out ChatGPT you. Give it a listen.

🕵️‍♂️ Fresh Finds: Privacy advocates worry about Google’s new scam detection, French Navy to use AI and Google invests $2 million in Europe. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: OpenAI and Reddit team up on big data play, Microsoft offers AMD chips to cloud customers, Tesla to process AI data in China and EU threatens Microsoft’s Bing AI. For that and more, read on for Byte Sized News.

🚀 AI In 5: Have AI read your PDFs correctly with this one secret hack! See it here

🧠 Learn & Leveraging AI: Looking to outsmart your competition with AI before they outsmart you? We’re breaking down what you can do to get ahead of the game. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about 7 things to know about OpenAI's new GPT-4o, Replit cuts 20% of its staff and U.S. and China meet on AI. Check it here!

Be prepared to ChatGPT your competition before they ChatGPT you 🥊

If you're not gonna use AI, your competition is.

And they might crush you. Or, they might ChatGPT you.

Barak Turovsky knows a thing or 3 about AI.

Now the VP of AI Cisco, he also helped lead AI efforts at Google and has previously held leadership roles at Microsoft, PayPal and SAP.

He helps us break down the best ways to think about Generative AI and how to implement it.

Join the conversation and ask Jordan and Barak questions on GenAI and cyber here.

Also on the pod today:

• LLMs for Small to Medium-Sized Businesses 🛂
• Use Cases & Misconceptions of AI 🚨
• Data Security and Privacy ✅

It’ll be worth your 35 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Narafy is an AI notes app centered around tags, WeFire is an AI finance copilot and Telow helps you understand your business data.

Big Tech — Google is still behind Microsoft in the race for AI developers.

Trending in AI – Privacy advocates are worried about Google’s new AI software which monitors calls for scam detection.

Big Tech - Google is investing $2 million in central and eastern Europe for AI advancements.

ChatGPT Updates — Along with the new version of Data Analysis, ChatGPT’s GPT-4o update also allows you to directly tap into your Google Drive or Microsoft OneDrive.

AI in Society - The French Navy is using AI to help detect enemy vessels underwater.

Google Deepmind — Google Deepmind just released a framework to assess AI models for potential danger.

Pop Culture – Two voice actors are suing an AI startup for stealing their voices.

1. Microsoft to Offer Cloud Customers AMD AI Chips 👀

Microsoft is gearing up to introduce AMD AI chips for its cloud computing customers, set to compete with NVIDIA’s offerings. The new Cobalt 100 custom processors boasting 40% better performance over other Arm-based processors are also on the horizon.

The move aims to provide Azure users with more options and enhanced capabilities for building and running AI models, challenging the dominance of NVIDIA in the data center chip market.

2. Tesla To Use China To Power Tesla AI 🇨🇳

In a strategic shift, Tesla is gearing up to process self-driving system data within China, boosting its AI capabilities and revenue potential. Elon Musk's whirlwind trip to Beijing and talks of data centers and FSD licensing with Chinese partners have set the tech world abuzz. Could this be the next big leap for Tesla in the world's largest car market?

3. EU Threatens Microsoft's Bing Over Generative AI Risks 🚨

The European Commission is demanding answers from Microsoft's Bing regarding generative AI risks, fearing the spread of deep fakes and misinformation that could impact voters. Failure to comply by May 27 could lead to fines of up to 1% of Bing's total annual income, with potential recurring penalties of up to 5% of daily income.

This enforcement action is part of the EU's Digital Services Act, aimed at holding tech companies accountable for illegal content on their platforms.

4. OpenAI and Reddit Partner in data big data play 🤖

OpenAI and Reddit have joined forces to integrate Reddit's content into ChatGPT, allowing for more timely and relevant responses. This partnership aims to create a more connected internet experience, bridging communities and providing enhanced AI features for users. In short, Reddit will leverage OpenAI's tech to build on its platform and OpenAI gets real-time access to the goldmine of data that is Reddit.

Additionally, OpenAI is introducing improved data analysis capabilities for ChatGPT users, including the ability to interact with tables, graphs, and upload files from cloud storage services like Google Drive and Microsoft OneDrive. These advancements signify a shift towards a question-and-answer model on the web, potentially revolutionizing how we interact with AI assistants and access information in the digital age.

5. Perplexity Gains Uber and Google Veterans as Advisers 👥

Perplexity, the AI startup, has recently expanded its advisory board with the addition of Emil Michael, Rich Miner, and Mikhail Parakhin. This strategic move is poised to bolster Perplexity's capabilities across search, mobile, and distribution channels. Following a successful $63 million funding round in April, the startup's valuation skyrocketed to $1 billion, marking a significant milestone in its growth trajectory.

6. Sainsbury’s and Microsoft Partner for Retail and AI 🛍

Sainsbury’s and Microsoft have embarked on a new five-year strategic partnership to propel the retailer’s Next Level strategy forward using Microsoft’s AI and machine learning capabilities. This collaboration aims to enhance customer experiences through generative AI, create interactive online shopping experiences, and improve search functionalities to make shopping more efficient and engaging.

By empowering store colleagues with real-time data insights, such as smarter shelf replenishment processes guided by AI, Sainsbury’s aims to save valuable time and ensure no sales opportunities are missed.

Secret way for AI to summarize your PDFs

Ever found yourself frustrated, trying to get Al chats like ChatGPT or Claude to digest PDFs, only to hit a wall?

We're revealing a game-changing method that will help Al read your PDFs properly!

🦾How You Can Leverage:

If you don’t use AI, your competitors will. 

And they’ll not only pass you, they’ll lap you. 

That’s the takeaway from Barak Turovsky. 

And while AI might be newish to you, (and all of us) it’s not to Barak.

He’s the VP of AI at Cisco, one of the largest networking and technology companies in the world. 

And before that,

  • He lead AI efforts at Google

  • He held leadership roles at Microsoft, PayPal and SAP.

  • So when it comes to AI in business, there’s few as qualified as he is. 

So when he says you better start using ChatGPT before all of your competitors beat you to the punch, it’s probably advice worth taking. 

Like now. 

Sound overwhelming? 

It doesn’t have to be.

Barak literally shared his roadmap for implementation and walked us through, step-by-step. 

Ready to out punch your competitors? 

Same. 

Let’s get it. 

1 – Proceed without AI at your own risk ⚠️

Barak cut it straight — your competitors are using AI. 

Whether you are or not, the rest of the field is moving forward and moving fast with GenAI. 

If you’re still on the fence or not already implementing AI, your company is at risk.

Within 3-5 years, Barak said, companies that haven’t already integrated AI into their workflow are going to be at risk of being disrupted. 

Try this: 

Barak said it simply: companies of all sizes should already be implementing GenAI, not just thinking about it.

Think Finetuning and RAG are only for enterprise companies?

Nope.

Barak said all companies should be connecting not only their internal knowledge sources but also their databases and internal communication channels. 

Looking to take that first step?

Here’s a guide on how to connect your external data to an LLM.

2 – Don’t let LLMs be con artists 💸

The internal explainability Large Language Models can be …. hard to explain. 

The outputs can be a bit easier to plot, though. 

Barak talked about the concepts of accuracy and fluency in the outputs of LLMs. Having a better understanding of the extent of which the Generative AI pendulum can swing can help you improve the confidence of the output. 

Think of it this way: You’ve gotta be able to differentiate between any model’s abilities to tell stories and to recall facts. 

Try this: 

Facts = Accuracy. 

Story = Fluency. 

And sometimes, if you aren’t careful, you’ll accidentally tip-toe your way into LLM outputs that can be like a con artist because they tell a convincing story.

An output might sound super polished and convincing. But it could be built on a throne of lies. 

As business leaders, Barak said it’s important for humans in the loop to understand the difference between accuracy and fluency. 

When implementing GenAI, you’ve gotta have a handle on:

  1. the cost

  2. training data control

  3. the quality of outputs and inputs. 

A good place to start?

Understanding LLM hallucinations.

Here’s an article that shows how humans can do a better job spotting hallucinations in models.

3 – Find your area to implement 🕵️

The first step is sometimes the hardest, right? 

Barak made the daunting task seem somewhat simple. In today’s show, he shared his GenAI implementation quadrant.

In short, Barak talked us through the concept of graphing out areas of implementation based on fluency and accuracy.  

Try this:

Study this quadrant and run your potential use cases through it. 

  1. Fluency is the gauge of a model’s ability to create text that is easy to understand and coherent. 

  • In other words, LLMs have a much higher ability to be fluent in creating a business email vs. supporting data for business decisions. 

  1. When looking at accuracy, it’s important to plot where your business use cases fall. 

  • Something like writing a poem only requires a low level of accuracy, whereas travel recommendations require a much higher level of accuracy. 

Unless you like layovers. 

⌚

Numbers to watch

$7.5 Billion

AI infrastructure startup raises $7.5 billion in debt for AI computing.

Now This …

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