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How Enterprise Companies Can Escape the AI Inertia

OpenAI releases a new model NOT named GPT-5, a Microsoft AI leader offers exclusive insights, Meta says 'no thanks' to the EU and more. 👇

Author

Everyday AI
July 18, 2024

Outsmart The Future

Sup Y’all👋

We’re doing something kinda crazy on Tuesday.

Make sure you mark your dang calendars. 🤑

You gotta join us LIVE for this one. (Sorry podcast crew!)

✌️

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode:Why can enterprises be so slow to adopt AI? We have an AI expert from Microsoft dish on what needs to be in place for proper AI implementation. Give it a listen.

🕵️‍♂️ Fresh Finds: Samsung acquires an AI startup, Ex-meta scientists create, and an AI race driver.Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: OpenAI releases GPT-4o Mini, Meta to stop offering multimodal models in the EU, Google updates its cloud for AI edge computing and Musk’s Grok spews inaccurate info. For that and more, read on for Byte Sized News.

🚀 AI In 5:OpenAI just dropped it’s new GPT-4o Mini. We give an overview of the new model and how it stacks up against the competition. See it here

🧠Learn & Leveraging AI: Here’s what you should keep an eye out for when it comes to GenAI and cyber security. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about Anthropic launching an AI startup fund, Ex-OpenAI Co-Founder's AI education program and the future of GenAI in the classroom. Check it here!

How Enterprise Companies Can Escape the AI Inertia 🏢

If AI is supposed to make things go fast then why can enterprise adoption be so slow?

Rajamma Krishnamurthy knows a thing or two about it.

She’s the Sr Director, Leader Enterprise AI for Microsoft.

So not only is she an actual PRO at helping enterprises grow with AI, but she also works at one of the largest companies in the world that builds the AI we all use.

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

Also on the pod today:

• Challenges of AI Adoption 🛂
• Four Pillars of Implementing AI 🚨
• Impact and General Perception of AI ✅

It’ll be worth your 34 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 – Flow Studio turns text into short films, Loops gives you product analytics and VeedoAI provides insights for your video content.

Big Tech – Samsung is acquiring Oxford Semantic Technologies, a UK-based knowledge graph startup.

AI in Science – Ex-Meta scientists have created an AI model that develops proteins that don’t already exist.

AI in Society –In a recent Reuters survey, nearly a quarter of Japanese companies have already adopted AI in their businesses.

AI in Healthcare -A new study by the Stanford Institute for Human-Centered AI found that only 12% believe healthcare AI should always have a human in the loop.

Read This – Cybersecurity researchers found that SAP AI Core vulnerabilities could expose customer data.

1. OpenAI Releases New AI Model GPT-4o Mini 🤯

OpenAI just released GPT-4o Mini and it’s shaking up the AI game with improved performance at a significantly lower cost. This move marks a strategic shift for OpenAI, making advanced AI more accessible and affordable for developers and users alike.

With enhanced speed, efficiency, and versatility, the GPT-4o Mini is set to revolutionize the industry and democratize access to cutting-edge AI technologies.

Users can access this via the normal ChatGPT front-end interface, but this is really a play for developers who use the GPT API to power their products. We’ll be covering this one tomorrow, so make sure to join us!

2. Meta's Clash with EU Regulators: Multimodal AI Drama Unfolds 🇪🇺

Meta has decided to withhold its upcoming multimodal AI model from the European Union due to regulatory uncertainties and it’s sparked a showdown with EU regulators. This move not only affects Meta's future products but also highlights the growing tension between US tech giants and European regulators.

The clash stems from concerns over data privacy laws, particularly GDPR, and the interpretation of existing regulations in different regions.

3. Google’s Air-Gapped Distributed Cloud for AI Edge Computing ☁️

Google has released an air-gapped version of the Google Distributed Cloud for AI Edge computing. This means enterprises can now harness Google's powerful cloud infrastructure even in the most challenging environments outside of Google's data centers.

The hardware, put together by big names like Cisco, HP Enterprise, and Dell, is set to revolutionize how AI workloads are managed in disconnected areas.

4. TSMC's Revenue Surges Amid Global AI Boom 🚀

In a huge leap, Taiwan Semiconductor Manufacturing Co (TSMC) forecasts an impressive revenue growth for 2024, fueled by the ongoing global AI spending surge. TSMC's revenue projections and quarterly results have exceeded expectations, showcasing the company's confidence in the longevity of the AI market.

Amid US-China trade tensions, TSMC remains optimistic about the continuous high demand for AI-related products, with CEO CC Wei emphasizing the real and growing need for AI applications.

5. Brazil Puts the Brakes on Meta's AI Tools Amid Privacy Concerns 🚫

Meta Platforms hits pause on AI tools in Brazil following objections from the country's data protection authority. With Brazil being a key market for Meta, this move could impact its operations, especially on WhatsApp.

The National Data Protection Authority ruling to suspend Meta's new privacy policy highlights the growing scrutiny over personal data use in AI training.

6. Elon Musk's Grok Sparks Controversy with Inaccurate Headlines 😬

Elon Musk's Grok AI model faced backlash after generating misleading headlines about an attempted assassination of former President Donald Trump. The AI-powered platform mistakenly named Vice President Kamala Harris as the shooter, causing chaos and confusion among users.

Despite Musk's push for automated news summaries, Grok's errors shed light on the challenges of using humor-inclined AI models in real-time news processing.

GPT-4o Mini: OpenAI releases new small GPT-4o Mini model

OpenAI just dropped a game-changer: GPT-4o Mini!

  • But what does it mean for you and the world of AI?

  • Is this sleek, small model set to revolutionize AI usage, or is it a tool designed just for developers?

  • How does it stack up against competitors like Claude 3.5?

Let's dive in and explore the possibilities!

🦾How You Can Leverage:

Feeling like your enterprise is stuck in the AI slow lane? 

Time for a wake up call, enterprise leaders. 

Luckily, we had some help today from a literal world leader to help us figure it all out.

Microsoft's Rajamma Krishnamurthy, Senior Director of Enterprise AI, joined Everyday AI today and dropped a treasure trove of insights on how big companies can finally kick their AI efforts into high gear.

The shortened version ain’t gonna do Rajamma’s wisdom justice, TBH, so you should probably go give it a watch and/or listen. 

But if you’re working in the corporate world and your org STILL hasn’t picked up the AI momentum, we gotchu shorties. 

 Let's break down the roadmap to AI success, enterprise-style. 👇

1 – AI isn’t the destination 🙅

Rajamma's first bombshell?

Stop asking, "How do I implement AI?" and start asking, "What's my business strategy?"

Loved this hot take quote:

"AI is not the destination. It's your accelerator.”

So true.

We often just look past the whole ‘end goal’ thang and think AI is the actual end goal. 

It’s not.

It’s the rocket fuel. But Generative AI can not only change the time it takes, but also the route. 

Try this:

Take a page from Rajamma's playbook.

She uses Copilot daily as her personal, unpaid assistant.

"It gives me the summary that I need to focus on today," she shares.

Imagine that time-saving magic across your entire org. Game-changer, right?

Same destination, different journey. 

Rajamma suggests starting with the low-hanging fruit. And we showed you EXACTLY how to do that in Microsoft Edge the other day. 

(So many cheat codes here.) 

2 – Spend a lot and don’t worry ROI (yet) 💸

Brace yourselves, bean counters. This one might sting a bit. Lolz 

Rajamma's throwing down the gauntlet:

"Don't worry too much about the cost and the ROI just yet." Wait, what?

I know, I know. It sounds crazy. But hear her out.

Like… you really gonna argue with a Sr. Director of Enterprise AI at Microsoft? 

Pft. 

You have to start small, be patient and stay the course.

Know that AI is here to stay, and there’s no other way for your company to survive and thrive without going all in on Generative AI. 

“Don't worry too much about the cost and the ROI just yet.” — Words from Rajamma, not us.

Here's the deal: AI isn't your typical tech investment.

It's not a new laptop or a software license. It's a fundamental shift in how business operates. It’s change management. It’s rewiring how humans work. 

Sure, you could wait. Let others make the mistakes. Play it safe.

But Rajamma's warning is clear: "You're already a year or two late in the space of generative AI."

Ouuuuuuuch. Harsh words. But true. 

Try this: 

We thought we’d have fun with that whole, ‘Don’t worry about ROI yet’ phase. Whether you’re an enterprise or small biz, take this 3-step plan and make it your own. 

A. Create an "AI Sandbox Fund."

Allocate 5-10% of your innovation budget specifically for AI experiments. No strings attached.

B. Launch an "AI Moonshot Program."

Encourage teams to pitch wildly ambitious AI projects. Fund and support the top three. (Extra bonus — have employees be the voters) 

C. Implement a "No ROI Zone" for AI initiatives in their first 6 months.

Focus on learning, not immediate returns.

3 – Three AI pillars for enterprise success ✅

Yeah, yeah. So many lists and steps, right? 

Well Rajamma gave us too much good advice today, so we had to break Step 3 into 3 steps. 

So, let’s assume your org FINALLY moves off the AI fence and decides it wants to stay in business in the long-run.

(No pun intended. Doesn’t matter how big your enterprise is. Without GenAI, you’ll fail.) 

Once you’re off that fence and have your ethics and governance in place,  it’s time to get to work. 

Try this: 

Here’s the three pillars for AI success. 

A. Business Strategy First, AI Second

Forget the AI hype train. Your business strategy is still the engine.

AI? It's the turbo boost.

Start with your core business problems.

Where are you stuck?

What's holding you back?

That's where GenAI comes in, Rajamma said. It's not about having AI for the sake of it.

It's about leveraging AI to solve real, meaty business challenges.

B. Data, Models, Infrastructure

Got your strategy nailed down? Great.

Now it's time to get your hands dirty with the dorky stuff. Yaaaaaaay data. 

Take a good, hard look at your data. Is it enough? Is it clean?

Next up, models.

Which ones fit your needs?

Copilot? GPT-4o mini?Maybe Claude 3.5? Off-the-shelf or custom-built?

(Yeah, we’re not answering those questions. They’re for you.) 

Finally, infrastructure.

Can your current setup handle the AI workload, or are you due for an upgrade?

This is where the rubber meets the road, folks. To get that juicy AI productivity, you gotta do the hard work of planting the seeds and harvesting, y’all. 

C. Education, Culture, Adoption

Here's where most enterprises fumble the ball.

(Nooooooo!) 

AI isn't just a tech upgrade – it's a culture shift.

You need to educate every level of your organization, from the C-suite to the front lines. But education alone isn't enough.

You need buy-in. Adoption. Enthusiasm.

This is about transforming how your entire organization thinks and works.

Rajamma called it out like we do: “Have everybody learn prompt engineering.” 

Are you gonna argue w/ her? 

Or.

Orrrrrr…. You can just reply PPP to this email to get free access to our free (and live!) Prime, Prompt, Polish course that has been taken by over 6,000 business leaders. 

⌚

Numbers to watch

56%

According to a Stanford study, 56% of participants think healthcare AI applications should be governed like medical professionals.

Now This …

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