Tag: artificial intelligence

  • Customer-Driven AI at Intuit

    Intuit’s strategy is to be an “AI-driven expert platform” where we solve the most pressing customer problems and deliver wonderful experiences using AI.¹ To that end, and to ensure our innovation is customer driven, Intuit® follows its “Customer Driven Innovation” (CDI) principles.² In this post, I will share some powerful examples of how Intuit’s AI […]

  • What does AI mean for software development tools?

    Artificial intelligence (AI) is constantly evolving. Developers are now using AI to automatically generate software code, autonomously detect code errors, and convert code from one programming language to another. Each of these AI-powered solutions brings a number of developer benefits. They also bring some potential pitfalls. Let’s take a high-level look at these different AI […]

  • Getting AI service in maintenance mode

    Artificial intelligence (AI) is being adopted by companies the world over. According to Semrush AI statistics, 86% of CEOs say AI is mainstream technology in their offices, 54% of executives say implementing AI has increased productivity, and 79% of executives think AI makes their jobs easier and more efficient. AI-based services for customers continue to […]

  • How to avoid conflicts and delays in the AI development process (Part II)

    In Part I of my two-part series on avoiding conflicts and delays in AI development, I introduced the first three steps of Intuit’s AI playbook. Today, I’ll walk through the last three steps. When put together, all six steps will help you integrate AI into your product, thus delivering improved customer experiences and customer benefits, […]

  • Biggest tech advancements of 2020

    Looking back at 2020, it’s highly improbable that your first thought is, “The 2020 tech advances were awesome!” We know it’s more along the lines of, “Is it over yet?” Still, even some years we would like to wish away have some merit, so we asked the Intuit® Developer community what they saw as this […]

  • How to avoid conflicts and delays in the AI development process (Part I)

    The adoption of artificial intelligence (AI) by organizations of all sizes is slowly but surely taking place. Forbes, citing an IBM study, said that 34% of U.S., EU, and China businesses have deployed AI, and a Gartner survey of 3,000 CIO respondents from around the world found that 37% are using the technology. If your […]

  • How AI can help companies improve efficiency

    Can artificial intelligence (AI) help companies improve efficiency? The simple answer is yes. However, incorporating AI into business processes and workflows is not a simple process, though it is both an achievable and in many cases, a necessary one. As a leader of AI teams at Intuit®, I have learned a few lessons about the […]

  • Forecasting and predictive modeling for marketing analytics

    Working on Intuit’s Forecasting and Optimization team in Marketing Analytics, I’m well versed on forecasting and predictive modeling. Today, I’ll explain what that they are and how we use them to delight our customers. I’ll also discuss the role artificial intelligence (AI) and machine learning (ML) play in developing the models. Predictive modeling vs. forecasting […]

  • Lessons learned leading AI teams

    Happy International Women in Engineering Day! This day holds special meaning to me. As an Intuit Data Science Leader, as well as a Women in Data Science (WiDS) Tel Aviv ambassador (2018-2020), I appreciate the opportunity to share a bit about my personal journey, as well as the lessons I’ve learned leading artificial intelligence (AI) […]

  • How artificial intelligence is redefining apps

    In his recent article, Brian Gorbett talked about demystifying artificial intelligence (AI) and machine learning (ML), proclaiming that every business in the world should be an AI company. In this article, I concur that claim and base it on three factors: Businesses are now recognizing more and more the power of collecting large quantities of […]