Introduced at CES 2024, Rabbit R1 has gained much popularity and excitement within the tech and tech influencer community. The large action model or LAM based OS, RabbitOS, that the device operates on has shown a very unique way of AI application that goes beyond language processing. It can take action on behalf of the user by learning through observation. Even beyond garnering attention, Rabbit R1 has managed to receive 20,000 pre-orders! LAMs seem to be quite impressive. However, the technology has a long way to go before it is taken seriously by businesses and marketers alike.

(00:00) Introduction

(01:48) Let's talk a bit about Rabbit R1, first

(04:44) Understanding R1's LAM, and LAMs in general

(06:45) Direction LAMs must go in to find a place in marketing strategies

(09:50) Hazy applicability of LAMs for businesses and marketers

Episode Links:

#16: Is your website ready for multi-modal generative search?

#17: CDP as a potent option for hyper-personalized campaigns

Marketers know that learning new skills and perfecting them is part and parcel of their work. They have been and continue to upskill and adapt to new technologies, channels, and trends to stay relevant in the market. As a part of generative AI, prompt engineering is a new skill that marketers must learn to deal with challenges like fragmented user journeys and keeping a consistent customer experience across channels and mediums. In this episode, I explore what prompt engineering is, its possible applications, and what does it take to learn it.

(00:00) Introduction

(02:30) A short intro to prompt engineering

(04:58) 4 broad applications for prompt engineering for marketers

(09:53) What does it take to learn prompt engineering?

(11:37) Prompt engineering is ready for a high-five, are you?

The Apple Vision Pro is now out in the market for its buyers. While the Internet is going on about how great or not great the product is, this $20 bn bet by Apple is its foray into a new product category. What that means is that its impact on the XR (AR, VR or MR) technology market is yet to be determined. This spatial computing product has been positioned as a productivity, entertainment and communication device to attract business as well as mass consumers. The product and its operating system - VisionOS - is now providing a new spatial UI that has the potential to provide immersive activations for B2C and B2B customers. As exciting this spatial computing device by Apple is, let's look at how marketing organizations should look at this product and XR (AR, VR or MR) technology.

(00:00) Introduction

(01:04) Let's meet the Apple Vision Pro again!

(04:15) Why marketing organizations need to keep an eye on this piece of tech?

(10:28) But, there are a few this to keep in mind...

(13:29) ...and then ease into the immersive world of Apple Vision Pro and XR technology

Innovative technologies like generative AI and spatial computing are already changing how we access and use information. Social media platforms are always changing, so are user behaviour and preferences. An average user in the digital marketing landscape is experiencing a wide range of digital experiences. All this and more has made user journeys complex, and the data associated with those journeys more fragmented with high levels of obsolescence. This is a nightmare for marketers. A Customer Data Platform or CDP can bring a set of capabilities that can help bring the siloed data together, make sense out of it, and engage with customers and prospects in a cohesive manner.

(00:00) Introduction

(01:42) A quick look at what a CDP is all about?

(04:13) What benefits does it deliver for marketers?

(06:47) Key points to keep in mind while onboarding a CDP

(10:10) 3 use case suggestions to get you started with a CDP

Google announced its multi-modal large language model, Gemini, recently. Google has integrated Gemini with its two most popular products - Google Search and Google Ads. This means that the multi-modal generate search is now available for people to explore. And as more people will use it, its impact on business websites is inevitable. But, there are a few things businesses and marketers can start doing today to make sure that they don't miss out on the opportunity to be part of the multi-modal generative search experience.

(00:00) Introduction

(01:26) First, let's refresh the basics

(02:37) Then, prepare for multi-modal generative search experience

Generative AI has and is changing how people discover information online. The generative search experience uses large language models to generate responses that deliver rich content and experience by understanding the user's intent. AI has already been powering search ads, and new features like Performance Max campaigns have been designed to leverage the understanding of user intent to serve ads to new audience. In this episode, let's explore what marketers can do to benefit from AI's understanding of user intent.

(00:00) Introduction

(01:05) The changing landscape of online search

(05:04) Tectonic shift in paid search and its impact on lead generation

(13:12) 2 traits that will help marketers navigate the evolving AI-driven landscape

Generative AI has been getting a lot of public attention, and for all the right reasons (and some not so right reasons). In all of that online chatter, its real impact on real-world situations is hard to establish. This is particularly true for online search, SEO and overall search experience. Listen to this episode to understand how generative AI is changing the search experience; how it can elevate customer experience and drive conversion; how can marketing organizations start adopting it; and 3 use cases to get started with generative AI.

(00:00) Introduction

(00:49) Evolution of search

(02:36) How is Generative AI is changing the search experience?

(05:00) How can it elevate customer experience and drive conversion?

(08:19) Things to consider before adopting Generative AI

(10:59) 3 quick use case ideas to get started with Generative AI

Faux out-of-home or 'FOOH' content has gained a lot of popularity in 2023. Major consumer brands are increasingly using it to run compelling and engaging organic campaigns on social media, some of which, have also gone viral. Despite some of the legal, ethical, and commercial issues surrounding it, the 'FOOH' content holds a lot of promise for brands willing to tell stories in a fresh, entertaining way. And the reality-bending nature of this content is a good stepping stone for brands preparing to get into the Metaverse.

(00:00) Introduction

(00:50) 'FOOH' content driving up the social post engagement!

(02:15) Legal, ethical and commercial issues around 'FOOH' content

(07:43) 'FOOH' is here to stay, and a logical step towards the Metaverse

The new toy by Stability AI, Stable Video Diffusion or SVD, has the capability to generate short videos from a single image. Built by curating high quality data, SVD has a powerful engine under the hood which can be very promising for marketers.

(00:00) Introduction

(00:50) What's the fuss about Stable Video Diffusion (SVD)?

(02:02) What's under the hood?

(03:53) It's till buggy....

(06:19) Why should marketers look forward to SVD?

It's been 5 months since Twitter was re-branded to X.com. Neither this rebranding makes the platform's transition to an "everything app" clear nor does it fulfil the promise it stands for. Considered to be one of the worst rebranding of 2023, the users, business community, marketers and brand strategists are confused. Starting from the backstory of the 'X' name, the episode navigates through what experts have to say, a data-driven take on the rebranding, the inconsistency of what the platform stands for and the brand, and critical questions this rebranding has raised for marketers and businesses.

(00:00) Introduction

(01:13) Backstory of Elon Musk's X-cessive obsession

(01:55) What the media and brand experts have to say about X?

(04:16) An interesting data-driven spin to the story

(08:04) Looking for the 'why' of rebranding in Twitter CEO's posts

(12:05) Does renaming to X follow accepted principles of rebranding?

(15:27) What does all this mean for businesses and marketers?