The Week at Nativevideo 3

More than you’d think!

During our visit to San Francisco for Dreamforce last month, we had a glimpse into the future. Waymo cars gliding through the streets, and Agentforce demos showing autonomous chatbots taking on complex customer conversations.

Both are harnessing AI to do what was once impossible: operating independently in environments where precision is key.

Waymo is revolutionizing transportation with autonomous vehicles navigating San Francisco’s well mapped out roads. They rely on a rich combination of data, sensors and AI to interpret and react to the road in real-time.

Meanwhile, Agentforce is bringing that same principle to the world of customer service. It’s all about harnessing CRM + Data + AI to create chat agents that can tackle customer queries autonomously. But instead of navigating city streets, Agentforce relies on a well-mapped, data-rich Salesforce Orgs to deliver meaningful, context-aware responses.

Did you notice the key thing that they have in common?

For both, the key to unlock this possible future is “rich and well mapped-out data…” The data-quality imperative is upon us. What’s your data strategy to make your autonomous AI journey possible?

We’ve had some good discussions recently with companies that are using Gong as their AI-powered meeting notetaker. But, as expected in our world, they’re also using salesforce as their CRM.

And as we dug into the details, a few key points kept surfacing:

• Overlapping tools create imbalanced value. If you’ve already got Salesforce as the single source of truth for sales and forecasting, why pay for overlapping functionalities in Gong? You’d end up not using Gong’s sales features, which is like buying a sports car and never taking it out of first gear. Imbalanced cost vs. value.
• AI is transforming everything, why silo your insights? With AI, tools like Einstein and Agentforce, on the horizon, set to optimize operations and automate processes, why keep your most important customer conversations locked away in a separate silo? The magic happens when all your insights are integrated in one place: Salesforce.
• High costs, limited impact. Let’s face it, Gong licenses aren’t cheap. Often, they’re reserved just for sales teams, leaving customer success, support, and even internal teams missing out on the benefits. Why limit the impact when every key interaction across your organization could be enriched?
• Gong is evolving, and it’s not just a notetaker anymore. It’s clear that Gong’s long-term strategy is steering towards becoming a CRM alternative, not just an AI-notetaking tool. They’re tapping into the multi-billion-dollar CRM space, growing far beyond meeting intelligence. So, are they still complementing Salesforce or starting to compete with it?

In short, if you’re already committed to Salesforce and looking towards AI-driven optimization, you should be looking at Vinton not Gong.

The 2024 Nobel Prize in Physics made headlines for awarding Geoffrey Hinton and John Hopfield, two pioneers of AI.

The 2024 Nobel Prize in Chemistry was awarded to two scientists at Google Deepmind, Demis Hassabis and John Jumper (who led the development of the company’s AI model, Alphafold), and Prof David Baker of the University of Washington.

Here’s what these historic wins tell us about AI’s future:

1. AI is now Nobel-worthy
   It may seem like a stretch, but AI essentially won a Nobel Prize. Hinton and Hopfield’s work on neural networks, key for modern AI, has made the development of facial recognition solutions and tools like ChatGPT possible. Hassabis, Jumper and Baker share the chemistry prize for “computational protein design and protein structure prediction”. Through the use of Alphafold in research, it’s been used in applications such as understanding antibiotic resistance and developing enzymes that can decompose plastic.
2. The “Godfather of AI” uses ChatGPT
   Geoffrey Hinton, the “Godfather of AI,” isn’t just an innovator, he’s also a user. He mentioned in multiple interviews that he actually often uses ChatGPT, a tool powered by the neural networks he helped create. However, he acknowledges its current limitations, knowing it doesn’t always get things right.
3. AI could outsmart humans
   Hinton has sounded the alarm on AI’s potential to surpass human intelligence within 5 to 20 years. He warns that machines could become smarter than us.
4. AI’s potential for scientific discovery
   Hassabis says that Alphafold should be seen as proof of AI’s potential for accelerating scientific discovery. He believes AI has the potential to benefit society, but like Hinton, he cautions us about AI’s uses and says it carries risks as well.

While 1 and 2 are definitely interesting and tell us about the technology world we live in right now, numbers 3 and 4 are a call for all technology leaders to take responsibility to ensure that AI is developed ethically, prioritizing human well-being above all else. This includes applying principles of transparency, inclusivity, fairness, safety, security and sustainability.

We’re ready and committed to do our part.

By the way, if you’re interested in understanding more about the scientific breakthroughs using Alphafold, I recommend this podcast with Professor Hannah Fry and Pushmeet Kohli from Google Deepmind.