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Appian 23.3: Supercharge AI with a Platform Approach

AI is a top action item on the priority list of every leading organization. And as the AI frenzy unfolds, some of the promises about what AI could deliver have become less clear, complicated by matters of security, data, and ultimately, business value. Appian 23.3 builds on Appian’s existing AI capabilities and makes it easier than ever to operationalize AI within your enterprise.

Will ChatGPT Save the Chatbot Industry? (Part I)

There's no denying that OpenAI's remarkable artificial intelligence applications (ChatGPT and DALL-E) have captured the zeitgeist and hurled the topic of Generative AI into every company boardroom. Conversations range from apocalyptic hand-wringing to blissful ignorance. I wonder if ChatGPT will single-handedly save the chatbot industry, or is this just another tech fad that will quickly wither and die?

How to Ensure Supply Chain Security for AI Applications

Machine Learning (ML) is at the heart of the boom in AI Applications, revolutionizing various domains. From powering intelligent Large Language Model (LLM) based chatbots like ChatGPT and Bard, to enabling text-to-AI image generators like Stable Diffusion, ML continues to drive innovation. Its transformative impact advances multiple fields from genetics to medicine to finance. Without exaggeration, ML has the potential to profoundly change lives, if it hasn’t already.

A CPO's Guide to Using Generative AI Within the Enterprise

Generative AI (GenAI) has the potential to transform enterprise product operations, and as a Chief Product Officer (CPO), it’s essential to understand how to leverage generative AI to drive success within your product organization. This article serves as a comprehensive guide for how CPOs can use GenAI in product strategy, design, and innovation – generating new product ideas, creating unique designs, and exploring different variations and options.

[Webinar] The Impact of AI On The Role of QA Testers & Quality Engineers

In this video, you’re going to explore how AI will transform the role of QA testers/quality engineers and get to know the challenges and opportunities it presents. Here’s what we're going to cover: Stay tuned for a captivating exploration that promises to reshape your perspective on software quality assurance! Related playlists.

Generative AI vs. Machine Learning

Machine learning watching generative artificial intelligence (AI) take off feels a little bit like an American Girl doll envying the Barbie movie excitement from afar. What is she, chopped liver? But we can’t forget about machine learning, because it’s the giant that generative AI is standing on. How? Well, machine learning is how generative AI learns. Generative AI takes machine learning a step further by leveraging those learnings to produce something new.

How AI Is Already Transforming Industries: The New 10x Environment Taking Shape

ChatGPT 4 was just released this past March, yet in just a few months, it has already started to shift the landscape of how we develop materials and assets across industries. As CTO at Perforce Software, I am deeply interested in how new and emerging technologies shape and redefine well-established workflows and processes. In my nearly 30 years of software development experience, few technological advancements have been as exciting and as far-reaching as generative AI.

[Webinar Recording] How to Apply Generative AI Securely Within Your Enterprise

ChatGPT is all the rage, but companies like Apple, Samsung, Goldman Sachs, and other large enterprises are banning its use, realizing it’s not secure to use with their own internal data. So how can your organization benefit from generative AI while keeping your data and company IP private – and at the same time, drive performance and decrease running costs?