Cassidy founder Justin Fineberg champions AI accessibility

Leveraging Microsoft Azure OpenAI Service to make generative AI extra accessible for on a regular basis enterprise

Justin Fineberg’s profession trajectory took a pivotal flip when he encountered the transformative potential of AI. The yr was 2020 and Fineberg had acquired early entry to the beta model of OpenAI’s GPT-3:

“The second I started working with GPT-3, I noticed we have been on the cusp of a brand new period in know-how. It was like discovering a brand new language that might unlock limitless prospects.”

Justin Fineberg, CEO/Founder, Cassidy

AI on the intersection of creativity and know-how

Initially, Fineberg thought-about a profession in movie.

“I form of noticed myself as a filmmaker once I was youthful: constructing a terrific product is in some ways about telling a terrific story. And that form of ties again to my background in movie.” 

Justin Fineberg, CEO/Founder, Cassidy

In 2022, Fineberg determined to go away his job as a product supervisor at Blade to staff up together with his long-time collaborator and engineer, Ian Woodfill. Woodfill’s understanding of the no-code area and Fineberg’s ardour for accessible AI options led them to begin Cassidy, which gives simple methods to construct customized generative AI for enterprise organizations.

Right now, Fineberg has greater than 400,00 followers throughout social platforms—and that quantity is predicted to develop. In spite of everything, AI is on the rise. A latest article in Forbes reported that AI market dimension is predicted to achieve $407 billion by 2027 with an annual progress price of 37.3% from 2023 to 2030. With a rising contingent of people—and companies—adopting AI, Fineberg is looking for to bridge the hole between advanced AI applied sciences and sensible enterprise functions. By specializing in user-friendly interfaces and seamless integration, Cassidy goals to make AI an integral a part of enterprise workflows, empowering customers to harness its potential with out being AI consultants themselves.

Leveraging Microsoft Azure OpenAI Service

Justin leveraged Azure OpenAI Service to bridge the hole between superior AI applied sciences and sensible, on a regular basis functions. His mission with Cassidy is to place highly effective AI instruments within the arms of those that may benefit from them essentially the most, no matter their technical experience. By leveraging Azure OpenAI Service, Cassidy simplifies the combination of superior AI capabilities for corporations, enabling them to automate duties and improve productiveness with out the necessity for coding or deep tech information.

Azure OpenAI Service stands out for its complete suite of AI fashions, which Fineberg makes use of to drive Cassidy’s capabilities.

“Azure OpenAI Service democratizes entry to those highly effective instruments, making it simpler for innovators throughout sectors to leverage AI of their tasks.”

Justin Fineberg, CEO/Founder, Cassidy

The service’s breadth ensures that whether or not a consumer is trying to automate customer support, generate distinctive advertising content material, or develop novel functions, they’ve the required instruments at their disposal.

Ease of integration is on the coronary heart of Cassidy—which goals to streamline the event course of and permit creators to deal with their imaginative and prescient quite than the complexities of know-how. The power to combine with Azure’s ecosystem was a game-changer for Cassidy, permitting Fineberg to scale and improve the corporate’s choices with better ease.

Fineberg sees Azure OpenAI Service enjoying a pivotal function in shaping the AI panorama. Its steady evolution, with updates and additions to its AI mannequin choices, ensures that customers have entry to the newest developments in AI know-how.

“Azure OpenAI Service isn’t just a platform for at the moment; it’s a platform that’s evolving with the way forward for AI. Selecting Azure OpenAI Service wasn’t nearly accessing superior AI fashions; it was about making certain reliability, scalability, and safety for our customers. As companies develop and their wants evolve, the service’s infrastructure is designed to scale alongside them, making certain that AI capabilities can broaden in tandem with consumer necessities. The scalability of Azure OpenAI Service has been instrumental in supporting Cassidy’s progress. It ensures that as our consumer base expands, we are able to keep efficiency and reliability with out skipping a beat.”

Justin Fineberg, CEO/Founder, Cassidy

4 bits of AI recommendation from Justin Fineberg:

1. Embrace curiosity: Method AI with a mindset of curiosity. Because it’s nonetheless recent for many, there’s no actual “experience” but—only a wide-open area for exploration and discovery. Method AI with an open thoughts and see the place your curiosity leads you.
2. Prioritize the low-hanging fruit: Deal with what AI can do simply and successfully proper now. Don’t let the present limitations distract you—AI know-how is advancing quick. Hold updated with new developments whereas repeatedly prioritizing essentially the most highly effective alternatives obtainable at the moment.
3. Prioritize user-friendly design: AI instruments needs to be accessible and straightforward to make use of for everybody, not simply consultants.
4. Share use circumstances: Don’t be shy about the way you’re utilizing AI in your work and enterprise. Let’s be taught collectively.

Be taught extra about Justin’s use of Azure OpenAI Service when he speaks at Construct 2024.

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At Microsoft, we‘re guided by our AI rules and Accountable AI Normal together with a long time of analysis on AI, grounding, and privacy-preserving machine studying. A multidisciplinary staff of researchers, engineers, and coverage consultants evaluations our AI techniques for potential harms and mitigations—refining coaching knowledge; filtering to restrict dangerous content material, query- and result-blocking delicate matters; and making use of Microsoft applied sciences like Azure AIContent Security, InterpretML, and Fairlearn. We make it clear how the system makes selections by noting limitations, linking to sources, and prompting customers to evaluation, fact-check, and regulate content material primarily based on material experience.

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