Tuesday, July 2, 2024

Cassidy founder Justin Fineberg champions AI accessibility with Azure OpenAI Service

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

Justin Fineberg might be talking at Construct 2024

Justin Fineberg’s profession trajectory took a pivotal flip when he encountered the transformative potential of AI. The 12 months was 2020 and Fineberg had obtained early entry to the beta model of OpenAI’s GPT-3:

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

Justin Fineberg, CEO/Founder, Cassidy

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Initially, Fineberg thought-about a profession in movie.

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

Justin Fineberg, CEO/Founder, Cassidy

In 2022, Fineberg determined to depart his job as a product supervisor at Blade to crew up along with his long-time collaborator and engineer, Ian Woodfill. Woodfill’s understanding of the no-code house and Fineberg’s ardour for accessible AI options led them to start out Cassidy, which offers straightforward methods to construct customized generative AI for enterprise organizations.

As we speak, Fineberg has greater than 400,00 followers throughout social platforms—and that quantity is anticipated to develop. In spite of everything, AI is on the rise. A current article in Forbes reported that AI market dimension is anticipated to achieve $407 billion by 2027 with an annual development price of 37.3% from 2023 to 2030. With a rising contingent of people—and companies—adopting AI, Fineberg is in search of 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 gain advantage from them essentially the most, no matter their technical experience. By leveraging Azure OpenAI Service, Cassidy simplifies the mixing 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 initiatives.”

Justin Fineberg, CEO/Founder, Cassidy

The service’s breadth ensures that whether or not a person is seeking to automate customer support, generate distinctive advertising content material, or develop novel functions, they’ve the mandatory 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 fairly than the complexities of know-how. The flexibility 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 taking part in 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 most recent developments in AI know-how.

“Azure OpenAI Service isn’t just a platform for at present; 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 increase in tandem with person necessities. The scalability of Azure OpenAI Service has been instrumental in supporting Cassidy’s development. It ensures that as our person base expands, we will 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: Strategy AI with a mindset of curiosity. Because it’s nonetheless recent for many, there’s no actual “experience” but—only a wide-open house for exploration and discovery. Strategy AI with an open thoughts and see the place your curiosity leads you. 
  2. Prioritize the low-hanging fruit: Give attention to what AI can do simply and successfully proper now. Don’t let the present limitations distract you—AI know-how is advancing quick. Preserve updated with new developments whereas constantly prioritizing essentially the most highly effective alternatives out there at present.
  3. Prioritize user-friendly design: AI instruments must 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 study collectively. 

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

Our dedication to accountable AI

At Microsoft, we‘re guided by our AI rules and Accountable AI Commonplace together with many years of analysis on AI, grounding, and privacy-preserving machine studying. A multidisciplinary crew of researchers, engineers, and coverage consultants opinions our AI methods 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 modify content material based mostly on subject material experience.

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