Multimodal AI is a type of artificial intelligence that can process, understand, and/or generate outputs for more than one type of data. Modality refers to the way in which something exists, is experienced, or is expressed. In the context of machine learning and artificial intelligence, modality specifically refers to a data type. In use, it combines various forms of AI such as Natural Language Processing (NLP), Machine Learning (ML), and Computer Vision. Its ability to process and interpret multiple types of data simultaneously allows it to provide a more comprehensive understanding of a situation or context.

As generative AI use expands across business functions, more enterprise application vendors are embedding, or planning to embed a variety of use cases inside their products. I have taken a look at several of these applications over the past few months and some common best practices seem to be emerging. Before we jump into those though, it is probably more useful to start with the use cases themselves. In the Arion Research eBook “Generative AI Business Use Cases” we took a look at the ways generative AI could be used for business.

This week's Disambiguation Podcast episode is another special edition, this time from Orlando, FL at Deltek ProjectCon 2023. I'm joined by Warren Linscott, Chief Product Officer at Deltek to talk about AI and generative AI for project based businesses. We talk through a number of use cases in managing and operating a project based business ranging from virtual assistants to automation in the context of Deltek's new AI enabled product offerings.

The high tech industry is seeing a number of disruptions related to the emergence of generative AI, a subset of artificial intelligence. By leveraging existing data sets, generative AI has the power to generate new content and unlock a multitude of possibilities in various industries. There are several diverse use cases of generative AI in high tech, not without challenges of course.

Technology has become an integral part of our lives, transforming various industry sectors, including education. Artificial Intelligence (AI) has emerged as a game-changer in this domain, offering innovative solutions to enhance the learning experience for students and educators alike. One particular branch of AI, generative AI, has shown tremendous potential in reimagining and enhancing education.

In the fast-paced and ever-evolving world of retail, staying ahead of the competition and meeting customer expectations is crucial. This is where the power of generative AI comes into play. With its ability to create new content from scratch, generative AI has become a game-changer in the retail industry. From personalization and content marketing to pricing optimization and inventory management, the use cases of generative AI are very diverse and impactful.

In this week's episode we take a look at applying generative AI to create content in a team environment. I'm joined by Shawn Olds, co-CEO and co-founder of Boodle.ai. We discuss a wide range of topics around making generative AI more available and useful for business teams through applications that are built to empower teamwork, and are much easier to learn and use.

Artificial Intelligence (AI) has revolutionized numerous industries, and healthcare and life sciences are no exception. Among the various types of AI, generative AI has emerged as a powerful tool with immense potential to transform these sectors. By harnessing the capabilities of generative AI, healthcare providers and researchers can unlock new opportunities for innovation, improve patient outcomes, and drive cost efficiencies. The applications of generative AI in healthcare and life sciences are quite diverse including drug discovery, clinical trial optimization, personalized medicine, medical imaging, chatbots, content generation, risk prediction, workflow optimization, virtual nursing assistants, and diagnosis assistants.

The financial services industry is experiencing a significant transformation, driven by the rapid advancement of technology. One of the most influential technologies is Artificial Intelligence (AI), particularly generative AI, which is reshaping the industry in unprecedented ways. This essay will delve deeper into the use of generative AI in various aspects of the financial services industry, including personalization, risk modeling, content generation, chatbots, trade analysis, portfolio optimization, insurance underwriting, and compliance monitoring.

In the rapidly evolving world of technology, generative artificial intelligence (GenAI) is making significant strides in various sectors, with the manufacturing industry being no exception. GenAI, a subset of AI, is a technology that leverages machine learning algorithms to generate data similar to the one it was trained on. In the manufacturing industry, this technology is being used to optimize processes, improve product quality, and reduce costs, thereby providing substantial business benefits.

This week we're in London, UK for SugarCRM's Connected 2023 customer event and analyst summit. SugarCRM has incorporated several new features and innovations into its CRM platform related to generative AI. In this episode we talk to SugarCRM SVP of Global Product Marketing Volker Hildebrand and Chief Product Officer Zac Sprackett about their approach to AI and the new capabilities that are currently in private beta. We also look at the underlying real time customer data platform and how that supports the many AI use cases in the product suite.

In today's rapidly evolving world, technology plays a vital role in shaping industries and driving innovation. In high tech, generative AI is revolutionizing product development and R&D, offering businesses endless opportunities to create unique, personalized experiences, optimize processes, and drive innovation. From design and content generation to simulation and optimization, Generative AI is transforming industries across the board. However, implementing Generative AI comes with its own set of challenges and considerations, from data quality and computational resources to ethical and legal implications. By addressing these challenges and staying ahead of emerging trends, businesses can harness the power of Generative AI to create groundbreaking products and stay at the forefront of technological innovation. Generative AI has a wide range of applications in high-tech product development and R&D.

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.