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Explore more posts
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Anthony Rotio
📣 Exciting news — starting July 1, GrowthLoop’s AI-powered audience segmentation and discovery tool will be available as a Native App in the Snowflake #AIDataCloud. ❄ As one of the first composable CDPs on Snowflake to launch a Cortex AI solution, GrowthLoop is unlocking new ways for marketers to quickly segment and activate their customer data while leveraging generative AI natively, alongside their Enterprise Snowflake Data. That means smarter AI suggestions, faster campaign launches, more rapid experimentation, and personalized cross-channel content delivery. As a part of the launch, GrowthLoop also becomes the first CDP that qualifying customers can fund fully with Snowflake Credits through Snowflake's Marketplace Capacity Drawdown (MCD) Program Read more about the integration: https://lnkd.in/e6s2m7UT #marketing #martech #DataWarehouse #snowflake Luke Ambrosetti Sridhar Ramaswamy Erin Foxworthy David Wells Bill Stratton Ross Armstrong Patrick Crosby Matt Warneke
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6 Comments -
Steven Forth
In his recent article on AI application pricing Kyle Poyar with Palle Broe call out the lack of innovation in the pricing of first generation AI applications. These are mostly relying on per user pricing and have conventional GBB packaging patterns. They identify an opportunity for pricing innovation in the second phase of AI applications. https://lnkd.in/gaHpTpKV #AI #pricing #SaaS #pricingAI #innovation
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Steven Forth
IDC identified Ibbaka as one of its Innovators in the Price Optimization for Usage and Recurring Revenue Models space. Four companies are called out for their innovations in the space. Ibbaka is changing how companies build, manage and apply value model and use them in pricing, sales and customer success. https://lnkd.in/gheHavd2 #SaaS #innovation #pricing #priceoptimization #recurringrevenuemodels
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Emerj Artificial Intelligence Research
“What Artificial Intelligence Means for Retail – with Asha Sharma of Instacart” https://lnkd.in/enCtZzP2 Emerj Artificial Intelligence Research CEO and Head of Research Daniel Faggella recently spoke with Instacart’s Asha Sharma on Emerj’s ‘AI in Business’ podcast to discuss some of the biggest challenges facing retail leaders in the post-COVID world and the role data and analytics play in redefining the grocery shopping experience and online retail overall. This article examines two critical insights from their conversation: - Building beyond features for deeper personalization: When building their next customer experience, online retailers must think in terms of systems over standalone features. - Foiling fraud with predictive AI modeling: Machine learning and AI to start a cycle of learning and application where online retailers address security threats proactively through finding opportunities in improved customer experiences. #Retail #AI #UseCases #BusinessIntelligence
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Steven Forth
Will you use outcome based pricing for your AI based functionality? Intercom is getting a lot of attention, and interest, for how it prices Fin AI. Over the past decade experts have said that AI holds the key to outcome based pricing. Is this the right direction for you? https://lnkd.in/gBF2Ashb #AI #pricing #resultsbasedpricing #outcomebasedpricing #generativepricing
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Steven Forth
How New AI Functionality is Getting Priced Q&A Part 3 More responses to questions from the May 23 webinar by Mark Stiving, Ph.D. from Impact Pricing LLC and Steven Forth from Ibbaka. We respond to questions on costs, metrics, valuations and what a move to continuous update and reporting will mean for pricing. https://lnkd.in/gwDKJneY #AI #pricing #SaaS #B2B #generativeAI
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XData
While AI has deepened customer understanding, Generative AI goes beyond numbers to offer holistic insights in natural language, empowering retailers to optimize across the entire enterprise. Written by Rishav Eliyahu Sofer. #retail #AI #generativeai #azure #aws #gcpcloud #customerexperience #businessoptimisation #revenuegrowth #retailtech
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Dr. Jeremy Roberts
MIT to CTO: Pioneering Tech Innovations in Ad Tech with Carl Livadas In this episode of Analytics Today, co-hosts Dr. Jeremy Roberts and Sameer Khan welcome Carl Livadas, a distinguished technology leader and CTO of Sojern. Hailing from a robust academic background at MIT and extensive experience in cybersecurity at Intel Research and BBN Technologies, Carl shares his journey from researcher to tech entrepreneur. Here are five key takeaways from this episode of "Analytics Today" with guest Carl Livadas: 1) Insights into Transitioning from Academia to Tech Leadership: Carl shares his journey from an academic background at MIT to becoming a CTO, highlighting the value of adapting research skills to meet the fast-paced demands of the tech industry. 2) Understanding the Role of AI and Machine Learning in Advertising: Carl explains how Sojern uses AI to optimize online advertising efficiency, offering a deep dive into cross-channel optimization and the balance between exploration and exploitation in ad spending. 3) The Importance of Privacy in Online Advertising: Discussion on how the advertising industry is evolving with privacy regulations and how technologies like AI can help balance effective marketing with consumer privacy. 4) Leadership Philosophies for Technology Managers: Carl emphasizes the importance of team dynamics, supporting individual growth within the team, and strategic planning for organizational development. 5) Career Advice for Aspiring Tech Leaders: Carl provides actionable advice for professionals aiming for C-level positions, stressing the importance of following one's passion, choosing the right environment, and building a supportive and effective team. Sell faster, smarter & better: Apollo AI Harnesses database of 250M+ contacts & sales engagement signals to create hyper-personalized AI msg Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you. Support the Show. Follow us on Twitter @sameerkhan or @jeremyaroberts or leave us a review on iTunes Click below to listen to our latest episode: https://lnkd.in/gAADm2Zu
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1 Comment -
Alejandro Gomez Losada Rosso
Seems the revenue and pricing tech space is seeing (and will see, if Fetcherr expands to new verticals) some significant movements following Duetto's acquisition. More consolidation on the near horizon? Who will emerge victorious? Keen to read my revenue and pricing colleagues in my network's thoughts...... #revenue #pricing #ai #tech #travel #funding Check out the latest updates at PhocusWire: https://lnkd.in/dxZScNk9
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Foursquare
Retailers, are you ready to make the most of the back-to-school season? 🎒 Our back-to-school shopping guide is here to help you measure and enhance your campaign effectiveness with Foursquare Attribution. Key benefits: 🛍️Correlate Promotions - Analyze how increases in in-store visits align with the timing and reach of your promotions. 🔍Omnichannel Insights - Understand the influence of various marketing channels—social media, connected TV, and out-of-home ads—on driving in-store traffic. 📈Optimize Strategies - Use comprehensive analysis to refine your campaigns, allocate budgets more effectively, and boost sales during this crucial shopping season. Gain actionable insights and drive higher sales. Check it out 👉 https://lnkd.in/erE_eC8h #Attribution #locationtechnology #backtoschool
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Vincent Valentine 🔥
In an exciting wave of developments, SAS, renowned for its prowess in data and AI solutions, has unveiled what they're calling a game-changing approach to tackling business challenges. The introduction of lightweight, industry-specific AI models for individual licensing sets a new-era beacon. It embodies SAS's ambition to democratize AI - making it accessible regardless of one's skill set. Some thoughts on why such a move is transformative: • It disrupts the traditional approach by placing ready-to-deploy AI technology directly into the hands of organisations. This could mark the dawn of an era where AI integration into businesses becomes the new normal rather than a distinguished edge. • The idea of industry-specific AI models undermines 'one-size-fits-all' and acknowledges the unique needs of each business sector. It can potentially ensue a wave of diversified innovations in different industry niches. Consider the vast spectrum from healthcare to entertainment to finance - each one will have a model suited to their unique challenges and needs. • It is not just about easy access, but also about efficient productionisation of real-world use cases. Given SAS's expertise in AI, these models could well fill the demand-supply gap in AI technological requirements, setting a new track record in driving productivity with speed and efficiency. As Chandana Gopal, Research Director, Future points out, this could be a big boost towards making AI accessible to businesses of all scales. In light of this, my prediction is two-tier: 1. We would witness an upsurge in the adoption of AI technology across businesses – be it multinational corporations, local enterprises or startups. 2. Given the industry-specific approach, I anticipate AI-related breakthroughs nurturing sector-specific innovations leading to enhanced customer experiences. #AI #Technology #Innovation #businessstrategy #SAS #ArtificialIntelligence
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1 Comment -
AIX | AI Expert Network
Case Study: AI Implementation at Abercrombie & Fitch Amid shifting trends, uncertain supply chains, and margin-decimating markdowns, inventory planning and allocation have never been more challenging for retailers like Abercrombie & Fitch. In response, the company has turned to artificial intelligence (AI) to enhance its inventory management processes. AI has emerged as a critical tool, providing the precision needed to navigate these challenges effectively. https://lnkd.in/du5jTE_z
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Barbara Maiocchi
Here is a fantastic article in The Impression, written by the talendted elizabeth Bowring about "How AI is Transforming Trend Forecasting". I am pleased to see Livetrend.co on of the protagonist of this article with Heuritech and WGSN. Predicting #fashion #trends involves an interplay between creative instinct and precise #analytics. This intricate practice, essential for planning for the future in any creative sphere, has evolved from an exclusive domain led by seasoned fashion insiders to a dynamic field influenced by digital trendsetters, influencers, and fast-moving social media trends. The real value of incorporating #AI into #trendforecasting lies in its ability to distill vast amounts of information into actionable insights. Since 2021, AI has transformed trend forecasting, enabling brands to quickly discern between ephemeral fads and lasting trends. AI tools analyze large datasets, providing precise insights that enhance decision-making, gauge consumer preferences, and predict demand shifts. Here are the key benefits highlighted in the article: 1. Rapid Data Analysis: AI tools can scan thousands of runway images in moments, extracting key trends in color palettes, fabrics, and designs, allowing designers to adapt collections swiftly and freeing up creative time. 2. Consumer Preference Insights: By analyzing global data, AI identifies diverse consumer preferences across demographics, enriching the design process and ensuring collections reflect a comprehensive array of tastes. 3. Social Media and Consumer Feedback: AI models analyze millions of images and social media posts daily, helping brands gauge which products will resonate with consumers. This real-time insight is crucial as trends can shift dramatically from one season to the next. 4. Predictive Accuracy: AI aids in understanding trends through clickstream data and tracking online searches, identifying rising trends before they peak. This foresight enables strategic inventory management and reduces textile waste by aligning production with expected demand. https://lnkd.in/eZsG87pV
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5 Comments -
Fraction Media Group
This might even be an understated estimate. As #retailmedianetworks (RMNs) continue to expand capabilities to rival more traditional #DSPs and publishers, more pressure can and will likely be placed on #CPG brands that want to keep the same levels of shelf-space within brick and mortar stores. Yes, in-store #retail still exists and is critical for some categories. As RMNs continue to leverage 1st party data and added tech stack like #RCS and #CTV, it will be more difficult for brands to continue with 3rd party DSPs and data providers without sacrificing in-store opportunities. https://rb.gy/d0u7zy
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Steven Forth
Back in May Mark Stiving, Ph.D. at Impact Pricing LLC and Steven Forth at Ibbaka did a well received webinar on how new AI functionality is being priced. More than 500 people registered. This week, Mark and Steven connected again on the Impact Pricing Podcast. The conversation focused on a theme that had emerged in the webinar comparing the disruption of the SaaS model with the current generative AI disruption. Is generative AI disruption smaller or larger than the SaaS disruption? - For customers - For vendors - For pricing Mark and Steven have different views on this. https://lnkd.in/gjujda3d #podcast #pricing #SaaS #generativeAI #disruption
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2 Comments -
Joey Ahnn
I believe that screening defective products has a relatively long history, especially with advancements in AI technology. I remember that my former colleagues at Target worked on a similar project to address this issue about 5-6 years ago. I am curious about how generative AI can further improve this process at Amazon. #AI #Target #Amazon #GenAI #EmartTech (이마트 (Emart) Tech)
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Naresh Ram
Download my latest eBook, "Ultimate Guide to Practical Generative AI Solutions for eCommerce Executives." A recent NVIDIA survey shows that 98% of retailers plan to invest in generative AI in the next 18 months. Be prepared with practical use cases. Our eBook offers role-based solutions using generative AI, developed by closely examining the diverse challenges our clients face. Get your copy today!
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