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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Once upon a time, in the vast realm of online commerce, there lived a humble checkout button overlooked by many. Yet, within its humble click lay the power to transform a mere visitor into a loyal customer. 🧐 💡 Getting checkout right can mark the difference between a successful sale and an abandoned cart, yet many businesses fail to make payments a part of their commerce strategy even when it has a direct impact on revenue.
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Imagine a retail landscape where every interaction is personalized, every decision informed, and every opportunity maximized 🤔✨ Join us for an exploratory journey into the heart of AI-driven retail innovation. We’ll unveil the transformative potential of AI and data analytics in shaping the future of omnichannel personalization and e-commerce.
While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.
Digital transformation in retail is so much more than new technology. You need to get your whole organization, from entry-level workers to executives, on board with the new tech, new skills, and culture changes that digital transformation brings. Leading this mindset shift can be a daunting task… but that’s where this webinar comes in! Join our panel of experts as they guide you through the challenges of digital transformation, preparing you to avoid common mistakes and make the most of incredib
In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.
More and more, customers are expecting a better personalized CX. But can retailers actually deliver? Data from McKinsey shows that companies that excel in personalization increase their revenue by 40%, but despite these numbers, retailers struggle to implement customer personalization strategies. So what are the potential solutions? Join us to gain a better understanding of the current retail landscape and learn what you can do to translate personalization strategies into practical implementatio
Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format. To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.
Significant modifications are on the horizon for digital commerce in retail and customer experience come 2024. The pace of tech shifts will intensify, businesses are set to defund legacy solutions, and attractive opportunities will surface as social and retail media players join forces. To stay ahead of the curve, digital leaders are experimenting with less risky initiatives and scaling back on outdated projects that no longer yield impactful results.
“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
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