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Business Intelligence Executive at TransferChain. Technology executive with more than eight years of experience at a multinational global management consulting firm. Expertise in project management related roles for large-scaled SAP S/4 HANA implementation projects in Istanbul, Toronto, and New York.
Head of Community at DTC Drive. Experienced community builder for brands in SAAS. Currently is a Head Evangelist at GetModa. Happy to talk about community building, SAAS, DTC, driving organic traffic, growth strategies, and playbooks.
Marketing and Growth at KLU.
KLU started as a search engine, but Chat GPT3 enabled users to read through data and get an immediate response, allowing them to ask questions and get answers quickly. GPT was used to enhance the user experience and Ashish's experience with both models is that GPT4 is more advanced and understands what the user wants. He is also interested in how AI integrates with other tools, such as GPT4 being used to replace account managers and customer service agents. Finally, he is interested in connecting GPT4 to a customer service agent to give them experience with customers. The most important details are that GPT4 has a better processing ability and output generation than GPT3 and below and that connecting it to existing systems is the true trust of the AI.
Aashish has been using Daylight since it was released and that it is a different way of working than Google before it. Daylight speeds up their work, and GPT4 remembers what they said so they can go back to it. Additionally, the speaker has sent multiple emails without using Grammarly anymore, and it is an interesting use case when it comes to marketing and growth. The speaker believes that this is an interesting use case where they have something that is working and they have been used to it. The most important details in this text are that Anish has seen his usage of Google decrease due to the shift to chat GPT and that he has seen himself using Google less now. Anish was searching for data to see if there was any data of usage, but he couldn't find anything. He also noticed that when he Googled something, it was usually just a website that he already knew, so there was no motivation in him anymore to go through five or six articles to rank on Google. Additionally, Anish has seen his usage of KLU decrease due to the ability to get to the information they need in a second.
Exploring idea generation, campaign formation, and automation of content creation. They are also using generative AI tools to personalize videos, create more UGC, and create accounts. They are also trying to connect all of their AI into motion and figure out whether what they are writing is better and better than what they haven't seen yet from an AI. The speaker is a huge notion fan and is trying to connect all of their AI into motion and figure out whether what they are writing is better and better than what they haven't seen yet from an AI.
In the use cases of AI in community building, AI should not be used to ping people and write one of them, but rather to understand conversation across the community and understand what is the pulse. Additionally, AI should not be used to write memes, as it does not understand how we consume and the art of writing memes. Additionally, AI should not be used to write memes, as it does not understand how we consume and the art of writing memes. Finally, AI should not be used to write memes, as it does not understand the art of writing memes. Ai is creating content for the future.
Potential applications of personalized AI, such as the ability to read sales and emails, and to understand how to convert them. Additionally, Moda is trying to solve the problem of how to sit on top of a customer's data and content. This is because fast buying works differently than an e-commerce store, and Moda is trying to solve the problem of how to sit on top of a customer's data and content. Additionally, Moda is trying to solve the problem of how to sit on top of a customer's data and content. The most important details are that AI should be a personalized partner for running a business, and that it should be connected to systems to understand what it can do for the business. Without connecting AI to these systems, the business will not know what it can do for them.
Personalization is one of the ways that AI can be used with media and videos, and that there are a lot of interesting ways that AI products could go in the near future. Additionally, the speaker discusses the idea that humans are moving towards becoming more like a machine, and that they want to humanize machines and machines. Finally, the speaker mentions that there is a way that Holy Stone can increase their reach, but a longer term if everyone is the 10x designer 10x developer, then humans are moving towards becoming more like a machine. Don Kerr discussed the potential of personalized AI agents that are trained to understand our preferences and ethical approaches to using content. This would enable us to interact with technology in ways that we are comfortable with, such as visual design or written content.
Felicia's expression of fear is a reflection of the serious questions about what AI will mean for all of us going forward. She is excited to see the practical things being experimented with AI chatbots that can adopt personas and act as coaches and motivators. She is also excited to see the practical things being experimented with AI chatbots that can take video and split it up into pieces, making it usable as a marketer. There is a lot of change happening right now, making it difficult to see much further forward. The most important details in this text are that video.ai is used to create podcasts and Snips, but the AI still doesn't know what's valuable to the end listener. To address this, the author is rolling out a free AI product that can produce content as good as a normal Creator. This product is worth at least two months of time in the AI space, with updates, new features, APIs, and Open Source work being built within a week. This product is usually completed in half an hour.
There are ethical issues around AI, such as how much of a style or content can be sampled to create something new. The author works with artist friends who are on a war path against things like Dali and Mint Journey, who are saying it is stealing their style and creating things that are directly from what they do. The author suggests that there should be control over how AI works with people, and that open source modern working on AGI is the right approach. The author believes that there are some ethical guidelines as far as how much of any style or content can be sampled to create something new. The most important details in this text are that it is not ethical to create an Auto GPT with a task of world domination or to spread disinformation to people, and that it is important to build in some protections or guide rails around how these tools can be used responsibly. Additionally, it is important to have regulation around how these tools can be used responsibly, as it can become quite chilling with some of the creative and evil things that it can come up with.
Humans have a better thinking ability and are able to control a larger or more powerful being than a tiger or an elephant, and that it is better to have discussion and development in an open space. Additionally, the text discusses the use of anonymized data in medical applications, such as finding a cure for a dog by importing his condition and charging GPT. Finally, the text discusses the need for people to be able to converse with a phone or laptop versus a human being, as we are used to conversing with a phone or laptop versus a human being.
GPT is not able to and does hallucinate in terms of responses when it doesn't know what is happening in the conversation, and that mid-20 has taken the word by storm by creating synthetic images that are almost as good as any human can read. Additionally, there is no AI product which can replace what Canva does for the speaker, as Mid-20 has taken the word by storm by creating synthetic images that are almost as good as any human can read. Additionally, there is no AI product which can replace what Canva does for the speaker, as Mid-20 has taken the word by storm by creating synthetic images that are almost as good as any human can read.
Dave Hassan recently used Figma, but found it to be a bit complicated for a simple step. Canvas focused on the content part of using AI, not the graphic part, and it is not as intuitive as manual clicking on the interface and creating those. Dave Hassan also tried the landing page part, where they were selecting a bunch of templates based on the input. He believes that AI is a great way to make products better, but it is not as intuitive as manual clicking on the interface and creating those. Templates were predefined, reducing the time needed to manually select and add text, but this is not yet resolved, so we're still away from egi.
In the media space, except for stock images and the images used to create assets or games, there is not a tool to replace Canva. The speaker is interested in discussing how people consume content generated by influencers, how they can leverage it further, and how to develop the influencer's voice into other agents or avatars. They also discuss how DDC Brands look for people to showcase their products and get more UGC, but this can be a huge cost that needs to be paid by the store.
Exploring the use of generative AI to solve real life problems. They have seen virtual influencers gain followers for their content, but it is still too early to comment on it. They are also interested in the consumer end of the table, as they have seen virtual influencers gain followers for their content. The speaker is still hesitant to implement AI in their personal life, as they have tried therapy and it was not effective. However, they are hopeful that changes can be made in the future.
The speaker is looking for an AI that can help them build a social profile and optimize their content. They want an AI that could help them build their social profile and optimize their content by tapping into people they follow and personalizing it according to what they want to say. Additionally, they want an AI that could help them build their social profile and optimize their content by tapping into people they follow and personalizing it according to what they want to say. Finally, they want an AI that could help them automate the broad hand launch. The most important idea is to manage the influx of traffic, followers, and comments across social media and products.
The use cases of Chat GPT for marketing funnel and content marketing. Sandra is using Chat GPT for her marketing efforts, such as tweeting email marketing and personalizing emails. She is using Chat GPT for her marketing funnel and content marketing, as well as for content blogs and Etc. She is also using Chat GPT for her marketing funnel and content marketing, as well as for content blogs and Etc. She is using Chat GPT for her marketing funnel and content marketing, as well as for content blogs and Etc. GPT provides a better response than chatGPT, which creates the email for the user.
The use of GPT for email creation and the response it has received. The author has been using GPT for email for a while and is currently using their own feature which is talking to charity. They have noticed that the output and open rates are still flaky, with 60% of their emails working and 40% of their GPT emails being open, but there are still things to be done. Additionally, the author has been doing prompt engineering for a while and the output and open rates are still flaky, with 60% of their emails working and 40% of their GPT emails being open.
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