Native Drop: NVIDIA and The Next Industrial Revolution
We release regular LinkedIn and Twitter content that breaks down AI and Web3 concepts and brand case studies. Here are some of the highlights from the last month.
NVIDIA is ushering in the next industrial revolution:
Last week, the CEO of NVIDIA, Jensen Huang took to the stage at the Nvidia’s GPU Tech Conference (GTC) and announced their new Blackwell platform. The platform has been dubbed the "world's most powerful chip, and will be integrated with major cloud platforms, such as Microsoft Azure, Google Cloud and Amazon Web Services. Nvidia also introduced Nvidia NIM, a software platform aimed at accelerating companies’ AI initiatives. NIM will expand its capabilities over time, including tools for generative AI chatbots.
In the past couple months, Jensen Huang has given us a masterclass on the future of AI. Here are a few things I'm excited about:
AI factories and the future of data centres:
NVIDIA are creating what they call "AI factories," which are advanced data centres designed specifically to process, refine, and convert large amounts of data into valuable AI models.
These AI factories differ from typical data centres in that they're optimised for automation and specialised skills, rather than IT workloads.
Looking ahead, many big companies across different industries—like retail, logistics, and automotive—will have their own AI factories. These factories will be focused on developing AI tailored to their specific products and needs.
Humanoid robotics are coming:
Robots have emerged as a critical new frontier for the AI industry. If AI can create text and images, it can likely create movement too.
The idea is that humanoid robots could revolutionise major industries that haven't yet experienced AI's impact. It can perform dangerous jobs that are unsuitable for people and alleviate labour shortages.
AI with long-term memory:
State-space models are gaining attention AI's future development. They’re able to learn extended patterns and sequences without significantly increasing computational demands.
This could enable us to engage in prolonged discussions with AI. Imagine being able to switch topics during a conversation, then return to a previous subject seamlessly. These models are able to retain context, allowing for more natural and sustained interactions.
Find a link to the post.
How is generative AI changing the future of online search and what does this mean for consumer brands?
Online search is a current problem and friction for all consumers and websites.
75% of consumers have reported having issues with search in the last 6 months, and search abandonment costs retailers more than $2 trillion annually globally.
AI is set to fundamentally change the future of search and product discovery on websites, with 50% of retail executives prioritising AI-driven personalised product recommendations in 2024, according to Deloitte.
Generative-AI powered search will enable consumers to talk to computers the way they talk to sales associates instead of navigating via the restrictive phrases we’ve all been trained to use when conducting an internet search query.
The retailers that are likely best positioned to benefit immediately are those that have larger product catalogues.
So what’s on the horizon?
Multimodal AI:
Most generative AI tools are multimodal (i.e. can understand both images and text) and the recommendations aren’t only based on manual keywords that a retailer has determined, but rather the best results based on real-time data.
AI that doesn’t require pre-programming:
In addition to intuitive search results, retailers are embracing a new generation of chatbots that don’t require retailers to pre-program all the possible responses to questions. Instead, brands are looking at using generative AI to generate more open-ended responses and will be useful for customers who are looking for something for a specific need but don’t know what they want.
Interesting case studies:
Google now lets retailers build and deploy conversational chatbots on their own sites.
Salesforce’s Einstein Copilot is an AI assistant that retailers can plug into their digital storefront and is informed by existing customer data.
Kering, the company that owns Gucci, has been testing “Claire”, an assistant that returns product suggestions from their suite of brands.
Find a link to the post.
Which countries are most interested in AI and how do attitudes towards AI differ across regions?
From significant technology maturity in countries like India and Japan, to a hesitancy to adopt AI due to due to ethics and security concerns in Australia, governments risk undermining public trust if they hastily embrace an AI-driven future without weighing the differing risks and benefits to communities and industries, alongside the cultural differences and needs.
Rather than seeing generative AI as an inevitable worldwide phenomenon, it’s essential to consider the many implications that will play out according to a country’s character, traditions and infrastructure.
As organisational leaders, it's crucial to acknowledge that AI adoption, much like technology adoption, varies significantly worldwide.
Each government and business must develop a holistic view of their AI goals across tech advancement, economic prosperity, trust, responsibility and social impact.
Find a link to the post.
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