Intuit on LinkedIn: Join our Intuit Israel Talent Community! (2024)

AI may not directly be replacing people, but AI skilled people will."Goodarzi explains that Intuit’s transformation journey, including departing from the 1,800 employees, is part of its strategy to increase investments in priority focus areas of AI and generative AI, such as its GenAI-powered financial assistant called Intuit Assist, and reimagining its products from traditional workflows to AI-native experiences. The strategy also focuses on money movement, mid-market expansion for small businesses, and international growth. "

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Interesting insights from a latest poll on the Glasssdoor community: We asked, "Will Devin, the first AI Software Engineer, really replace software engineers?" The results?? With 57% voting "No way" and 27% believing "For sure!", it's clear there's a diverse range of opinions on the impact of AI like Devin on our profession. This split opens up a larger dialogue about the future of software engineering and the role AI will play. I'm curious to hear more perspectives – what do you think? Will AI like Devin complement our skills, or are we looking at a future where AI might take the lead? Share your thoughts below! See the Glassdoor poll here 👉 https://lnkd.in/gjWWgHDd#SoftwareEngineering #FutureOfWork

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🚀 Exciting insights from Intuit's Humera Shahid on the future of work in 2024. She emphasizes creating a safe and inclusive space for employees, leveraging technology to enhance productivity, and addressing mental well-being concerns. #FutureOfWork #InclusiveWorkplace #AI #ML #BigData

Hello, LinkedIn Community! 👋 Let's Embrace No-Code ML Together! 🚀Take a thrilling voyage into the realm of no-code machine learning, a ground-breaking movement that is revolutionizing the tech industry. This democratizing movement allows anyone to access the possibilities of machine learning without the need for complex coding knowledge; it is no longer exclusive to tech gurus. It's all about opening doors, removing obstacles, and enabling ML to be used by any enthusiast.No-code platforms enable people with a variety of backgrounds to actively participate in machine learning initiatives, stimulating creativity and innovation. Imagine the opportunities that arise when business analysts, marketers, and HR specialists skillfully incorporate machine learning into their processes, revealing hitherto untapped levels of productivity and insight!No-Code takes center stage as we look ahead to 2024, improving the accessibility and usability of AI . It's a movement that goes beyond a fad and is advancing a diverse and cooperative technological future.Excited about the No-Code ML journey? Join us in shaping the future! 🌐💡 Let's make strides together! 🚀

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So long, Google, and thanks for all the fish! Just over a month ago, I left my position as Google’s Chief Decision Scientist after nearly a decade at the company. It was a fascinating time to be there and an honor to experience applied AI coming into its own from a seat right at the epicenter. I watched the birth of transformers (that’s the “T” in ChatGPT), personally trained over 20,000 Googlers in data+AI (you can view one of my workshops here), impacted hundreds of projects, and founded the discipline of Decision Intelligence there. Why did I quit my job just as generative AI was becoming everyone’s favorite conversation starter? No, not because I think something is rotten in the state of Google. I don’t think that at all. I continue to believe that Google’s heart is mostly in the right place and its Brain is doing okay too. I’ll explain in a moment, but first, a humorous interlude where I tell you the physical circ*mstances of my quitting. When it rains, it pours People say that it’s wise to take a real break when you quit your job and I had a bit of vacation saved up, so the plan was to have my last day of teary farewells after a hard reset: two weeks at the only place on the planet that’s not on the planet… Photo by the author. The classic career-exit-via-Burning-Man move. The idea was to arrive at the beginning of Build Week and be part of transforming the Playa from barren desert into a cross between a roleplaying video game, a festival, and an alien planet. It went from looking like this: Build Week. Not much here yet. Photo by the author. To this: Read this story from Cassie Kozyrkov — and all the best stories on Medium. https://lnkd.in/dyQrsJc7

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So long, Google, and thanks for all the fish! Just over a month ago, I left my position as Google’s Chief Decision Scientist after nearly a decade at the company. It was a fascinating time to be there and an honor to experience applied AI coming into its own from a seat right at the epicenter. I watched the birth of transformers (that’s the “T” in ChatGPT), personally trained over 20,000 Googlers in data+AI (you can view one of my workshops here), impacted hundreds of projects, and founded the discipline of Decision Intelligence there. Why did I quit my job just as generative AI was becoming everyone’s favorite conversation starter? No, not because I think something is rotten in the state of Google. I don’t think that at all. I continue to believe that Google’s heart is mostly in the right place and its Brain is doing okay too. I’ll explain in a moment, but first, a humorous interlude where I tell you the physical circ*mstances of my quitting. When it rains, it pours People say that it’s wise to take a real break when you quit your job and I had a bit of vacation saved up, so the plan was to have my last day of teary farewells after a hard reset: two weeks at the only place on the planet that’s not on the planet… Photo by the author. The classic career-exit-via-Burning-Man move. The idea was to arrive at the beginning of Build Week and be part of transforming the Playa from barren desert into a cross between a roleplaying video game, a festival, and an alien planet. It went from looking like this: Build Week. Not much here yet. Photo by the author. To this: Read this story from Cassie Kozyrkov — and all the best stories on Medium. https://lnkd.in/gFrgVaHn

It's been a fun year of bringing Gen AI to fruition in our client products! Check out our journey so far in our blog - we dive into learnings, tips, and how to contextualize the tech for your products. I think long form content on this topic is a lot more effective so hopefully folks find it interesting!(https://lnkd.in/dfFDvuq3)

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📢 🎙 The one with the famous Aishwarya Srinivasan from Microsoft for Startups.With the growth in generative AI, I was curious to learn how data science is doing and whether building a career in it is still as worthwhile as a decade ago. Aishwarya and I discussed exactly that, starting from understanding the worth of a data science career, to staying in touch with the basics, to how hiring is evolving, and finally, how the accessibility of resources has changed from a decade ago to now. Here are some highlights:- What is data science and the importance of learning the foundational skills involved?-The variety of job titles and how to navigate through while applying for such jobs.- Different specializations associated with data science.- The growth in the accessibility of AI resources and open-source tools over time.Tune in to the full episode with links in the comments ⬇

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AI for software engineering🚀 Exciting advancements in AI for software engineering are happening at Google! In their latest blog, Google Research highlights the role of AI-based tools and their transformative impact on developer productivity and code quality. The post delves into the integration of machine learning models in code completion and maintenance tasks, illustrating impressive progress and painting a promising future.Stay updated on AI innovations and explore the path ahead for software engineering at Google! Read more here: https://lnkd.in/d5wVUtMR . #AI #SoftwareEngineering #TechInnovation #GoogleResearch

With many worrying about career longevity in newly AI-empowered industries, we explore whether the people behind the tech itself – software engineers – also need to worry.Read more in our new blog post:

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