June 25, 2024

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

Justin Fineberg shall be talking at Build 2024

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 spotted 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 infinite prospects.”

Justin Fineberg, CEO/Founder, Cassidy

AI on the intersection of creativity and know-how

Initially, Fineberg thought of a profession in movie.

“I form of noticed myself as a filmmaker after I was youthful: constructing an important product is in some ways about telling an important 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 workforce 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 start out Cassidy, which offers straightforward methods to construct customized generative AI for enterprise organizations.

At the moment, Fineberg has greater than 400,00 followers throughout social platforms—and that quantity is anticipated to develop. In any case, AI is on the rise. A latest article in Forbes reported that AI market dimension is anticipated 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 searching for to bridge the hole between complicated 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 specialists 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 palms 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 data.

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 trying 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 moderately 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 larger ease.

Fineberg sees Azure OpenAI Service taking part in a pivotal position 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 this time; 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 guaranteeing reliability, scalability, and safety for our customers. As companies develop and their wants evolve, the service’s infrastructure is designed to scale alongside them, guaranteeing that AI capabilities can broaden in tandem with person necessities. The scalability of Azure OpenAI Service has been instrumental in supporting Cassidy’s progress. It ensures that as our person base expands, we will preserve 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 area for exploration and discovery. Strategy AI with an open thoughts and see the place your curiosity leads you. 
  2. Prioritize the low-hanging fruit: Concentrate on 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 constantly prioritizing essentially the most highly effective alternatives obtainable at this time.
  3. Prioritize user-friendly design: AI instruments ought to be accessible and straightforward to make use of for everybody, not simply specialists.
  4. Share use instances: Don’t be shy about the way you’re utilizing AI in your work and enterprise. Let’s study collectively. 

Study extra about Justin’s use of Azure OpenAI Service when he speaks at Build 2024.

Our dedication to accountable AI

At Microsoft, we‘re guided by our AI ideas and Accountable AI Customary together with many years of analysis on AI, grounding, and privacy-preserving machine studying. A multidisciplinary workforce of researchers, engineers, and coverage specialists opinions our AI techniques for potential harms and mitigations—refining coaching information; filtering to restrict dangerous content material, query- and result-blocking delicate subjects; 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 evaluate, fact-check, and regulate content material based mostly on material experience.

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