Generative AI, a subset of artificial intelligence, has the potential to revolutionize how small businesses operate. By understanding and harnessing its capabilities, businesses can enhance productivity across various departments. Let's dive deeper into the key ways you can use generative AI as a force multiplier in your small business.

This week I attended a Dataiku customer event and analyst summit they call “Everyday AI”. As with all things AI recently, there was a lot of excitement and energy from the attendees. Held in New York, the conference brought together industry leaders, experts, and enthusiasts to explore the latest advancements in AI and its impact on businesses and society. As a provider of AI solutions, including a comprehensive AI platform, Dataiku showcased their commitment to making AI accessible to everyone, regardless of skill level or background.

In this episode we talk to Vanessa Thompson, VP of Product Marketing at Twilio about the impact of generative AI on customer experience. Customer experience is being transformed by the emergence of creative new applications for generative AI. Join us as we explore how leading companies are leveraging the power of next-gen AI to reimagine customer engagement. From intuitive chatbots to hyper-personalized recommendations - generative AI has the potential to automate, enhance and transform CX. We’ll discuss real-world examples of companies using these cutting-edge technologies to drive loyalty, boost satisfaction, and create delightful customer experiences

In today's rapidly evolving digital landscape, harnessing the power of artificial intelligence (AI) is becoming increasingly crucial for businesses looking to stay competitive and innovate in product development. AI has the potential to revolutionize the entire product design process, from ideation to market launch. By leveraging AI technologies such as generative AI and digital twins, companies can streamline their workflows, optimize designs, and create products that are more intuitive, efficient, and tailored to customer needs.

In a move that demonstrates its commitment to providing a broad AI toolkit to its customers, Salesforce recently announced a definitive agreement to acquire Airkit.ai. This strategic acquisition will enhance its customer service platform by integrating Airkit.ai's low-code technology and AI-powered customer service agents. With this acquisition, Salesforce continues to expand its portfolio of AI enabled customer experience focused solutions.

In this week's episode I'm joined by Nicole France, Director of Content Marketing and evangelist at Contentful for a discussion on the impact of generative AI on content marketing. Nicole shares her insights on the best ways to integrate generative AI tools into a content strategy and successfully use those tools to increase the productivity of the team and the effectiveness of the content.

Generative Artificial Intelligence (Gen AI) can create novel content, including images, text, music, and code. By learning from extensive datasets, gen AI models can generate new outputs that resemble the patterns and style of the training data. The advancements and real-time applications of Gen AI have exploded over the past year, and its potential in various industry verticals such as retail, financial services, manufacturing, healthcare, media and entertainment, high tech, and logistics is becoming clearer. To better understand these use cases, it is useful to understand the underlying mechanisms of Gen AI, focusing on Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) as well as the challenges faced in the adoption of Gen AI.

As artificial intelligence continues its rapid evolution, OpenAI's ChatGPT has emerged as one of the most popular AI chatbots. With its latest version, ChatGPT 4, and the introduction of ChatGPT plugins, the language model opened up new possibilities for users. ChatGPT plugins are tools designed to enhance the capabilities of ChatGPT’s language model. The plugins serve various purposes, catering to different user needs. In this post we’ll take a look at ChatGPT plugins, some of the more useful ones from a business perspective, and how they can enhance and expand your use of generative AI.

In this week's special episode we look at the Salesforce Dreamforce 2023 conference, provide an overview of the major announcements and talk with three guests about Salesforce's AI offerings. I'm joined by Rob Katz, VP of Product - Responsible AI and Tech; Avanthika Ramesh, Director, Product - Salesforce AI; and Bobby Brill, Sr Director, Product - Salesforce Einstein Discovery.

Live Blog from Dreamforce 2023 keynote.

Businesses have the opportunity to enhance customer service (CS) by incorporating generative AI in their customer service systems. Powerful large language models (LLMs) can enable businesses to provide next-level customer experiences (CX) while improving CS agent performance and job satisfaction. Let’s look at the transformative potential of generative AI for enhancing CX.

In this episode I chat with Tim Handorf, EVP and GM of G2 Labs about the use of generative AI for intelligent chatbots. His team launched several chatbots this year on the G2 website to assist both software buyers and software sellers on the marketplace. The bots have provided a significant enhancement to the customer experience while using the G2 platform.

Unless you live under a rock, you’re hearing about generative AI and its capabilities to generate text, images, audio, and video content everywhere you turn. As a business leader, it is crucial to understand the current and potential impact of generative AI and how to leverage its power. This guide provides a business-focused overview of generative AI and offers insights into how it can be integrated into your organization's strategy.

Generative AI tools like OpenAI’s ChatGPT and Anthropic’s Claude are becoming increasingly popular for businesses, but getting the output you want is not intuitive and often misses the mark. Large Language Models (LLM) can assist in a variety of tasks, including writing emails, creating social media campaigns, summarizing reports, and even accelerating customer service interactions. The quality of the prompt directly influences the accuracy and relevance of the AI-generated output. Knowing how to get the most out of them is a skill that is increasingly in demand. Crafting effective prompts is the key to unlocking the full potential of these GenAI tools.

Generative AI is a rapidly evolving technology with the potential to significantly enhance project management. By automating tasks, identifying risks, and generating insights, generative AI can help project managers (PMs) save time, improve efficiency, and deliver better results.

Here are some of the ways generative AI is being used in project management today:

Automating tasks: Generative AI can be used to automate repetitive tasks, such as identifying resources, scheduling tasks, tracking progress, and generating reports. This frees up PMs to focus on more strategic and value-added activities.

Identifying risks: Generative AI can be used to identify potential risks and issues early on in the project lifecycle. This helps PMs take steps to mitigate these risks and avoid costly delays or failures.

Generating insights: Generative AI can be used to generate insights from data, such as identifying trends, patterns, and relationships. This helps PMs make better decisions and improve the overall project outcomes.

Transcript: In this episode I chat with Nathaniel Mahowald and Mike Gioia from Pickaxe, a no-code AI platform. We covered a wide variety of topics including the use cases of no-code AI platforms, some real examples from their customers, prompt tips and tricks and a few other topics. You can check out their platform and Pickaxe Builder

Human-machine collaboration refers to the synergistic partnership between humans and machines, leveraging the strengths of both to achieve better results than either could alone. The idea behind this collaboration is to combine human intuition, creativity, and flexibility with machine precision, speed, and the ability to handle vast amounts of data. <image created by Boodle.ai ImageBot>

At the recent SIGNAL 2023 event, Twilio gave a glimpse into its view of the future of AI-powered customer engagement with the introduction of an assortment of new AI capabilities under the CustomerAI banner. The combination of the power of large language models (LLMs) with real-time customer data from Twilio’s customer data platform (CDP) Segment can offer companies a set of tools designed to improve and enhance customer interactions. <image created by Boodle.ai ImageBot>

Transcript: In our show today I’m joined by Soribel Feliz, a thought leader in the fields of Responsible AI and emerging tech, and we look at balancing the use of new AI enabled solutions, particularly generative AI, with privacy and regulatory compliance challenges.

In recent years, the productivity of sales teams has experienced a noticeable decline, posing challenges for businesses attempting to hit their financial targets. Automation and generative AI, which have advanced a great deal over the past year or so, do offer some potential for helping turn this trend around. These technological advancements could potentially revolutionize sales team performance and rejuvenate their productivity. By streamlining repetitive tasks, providing valuable insights, and enabling personalized interactions, automation and generative AI have the power to enhance sales team performance. <image created by Boodle.ai ImageBot>