Curious about the future of contract negotiation? LeasePilot's innovative tech could be the answer, streamlining the chaos of the process. "They get an LOI on their desk. It can often take a week to turn it around. In terms of drafting time, anywhere from three to 10 hours, let's say. With LeasePilot, that can be reduced to 15 minutes, or a little bit more, perhaps if there are specific nuances that need to be drafted." - David Saltman, CEO and President, Lease Pilot In this week's Retail Retold, Saltman and Chris Ressa discuss how technology is changing the game with automation and AI. Say goodbye to tedious drafting and hello to efficiency! Listen here or on your favorite podcast platform: https://bit.ly/3Cqz7B8 #CRE #RetailRealEstate #RessaOnRealEstate #AutomationRevolution #AI #RealEstate
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Excited to share some key insights on levelling-up strategy with AI from German Soto, Chief Product and Strategy Officer at Broadridge Financial Solutions. As he puts it so succinctly - "Experiment, engage and partner" German, sat down with Emerj Artificial Intelligence Research's “AI in Financial Services” podcast to discuss key takeaways from Broadridge's 2024 Digital Transformation & Next-Gen Technology and the importance of updating and enhancing legacy systems and technologies to ensure evolution and modernisation. Listen in here: http://spklr.io/6047sVzx #DigitalTransformation #AI #Data
AI in Financial Services Podcast: Essentials for Leveling-Up Strategy with AI - with German Soto-Sanchez of Broadridge
aiandbanking.libsyn.com
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You're losing a massive 26% of your revenue to Revenue Leak. But why, and how do you fix it? Clari's Julien Sauvage 🥖 joins Amanda Razani on the Techstrong TV podcast to break down Clari's new Revenue Leak research findings and discuss how revenue teams are leveraging AI and purpose-built revenue platforms to: * Drive alignment around the key revenue initiatives and goals that will fuel growth * Identify and diagnose the top areas of revenue leak across the full sales funnel (create > convert > close) * Orchestrate consistent and repeatable revenue cadences (a revenue playbook) to master the most important steps in the revenue process across every week, month, and quarter. Listen in below. Link to Clari's new research report in the Comments. #RunRevenue #AI #RevenueLeak #RevenueCadence
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On this week's episode of Experiment Nation's podcast, Michael St Laurent, shared his insights on large-scale testing with Charlotte April Bomford. Here are 5 key takeaways: ✅ Prioritization is key: Large-scale testing requires prioritizing tests based on potential impact and aligning with overall business goals. ✅ AI is the future, but humans guide it: Mike emphasizes the power of AI in automating processes and analyzing data, but highlights the importance of human expertise and guidance. ✅ Data quality is crucial: AI models rely heavily on the quality of data. Invest in building a robust data infrastructure to ensure accurate results. ✅ People are the biggest challenge: Navigating internal politics and managing stakeholder expectations is often the biggest hurdle for large-scale testing. ✅ Building a testing culture is a win: The ultimate goal of large-scale testing is to create a data-driven culture that fosters continuous improvement and better user experiences. Join our Slack channel and find the full episode here: https://lnkd.in/g4JzXZnq #experimentation #agency #optimization
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Architecture of ZAP AI-Marketing Assistant Among all the components, the most powerful one is the "planning" module. It allows you to orchestrate tasks, where the output of one task is used as the input for another, making it possible to deconstruct complex workflows into tasks specified in natural language. For example: Given the task: " Research the top trends of the year 2024 in technology, marketing, and business. For each trend, create a podcast episode on the topic. For each podcast, create a blog post on the topic. " The planning module will break down the task into smaller, more manageable tasks and orchestrate them for you. The result: Hours of work reduced to a single prompt. #ai #genai #llm #agent
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Check out this latest episode of our podcast Shine about the dilemma of building vs buying an AI solution 🤔 What's your take?
Tech leaders are increasingly turning to AI to optimize operations, but a critical question remains: build a custom solution from scratch or leverage pre-built options. 🎧 In our latest Star Shine limited podcast series on AI, our CTO Sergii Gorpynich and Head of Communications Cherry Ye unpack both sides of the Buy vs. Build dilemma 👉 https://lnkd.in/egFj8dR2 #AI #innovation #strategy #business #StarShine
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Tech leaders are increasingly turning to AI to optimize operations, but a critical question remains: build a custom solution from scratch or leverage pre-built options. 🎧 In our latest Star Shine limited podcast series on AI, our CTO Sergii Gorpynich and Head of Communications Cherry Ye unpack both sides of the Buy vs. Build dilemma 👉 https://lnkd.in/egFj8dR2 #AI #innovation #strategy #business #StarShine
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Really pleased to be invited on to the @CanadianSME Small Business Magazine Podcast to discuss how we approach building media & advertising plans for our customers. It was great to chat about all things digital marketing and AI. You can catch the full episode here - https://lnkd.in/gCTSd-iu #SmallBusiness #DigitalMarketing #AI
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My colleague, German Soto Sanchez, sat down with Emerj Artificial Intelligence Research's “AI in Financial Services” podcast to discuss key takeaways from Broadridge's 2024 Digital Transformation & Next-Gen Technology Study. German shares examples of untapped data and opportunities for digital transformation, emphasizing the importance of updating and enhancing legacy systems and technologies to ensure evolution and modernization. Listen in here: http://spklr.io/6043sXF9 #DigitalTransformation #AI #Data
AI in Financial Services Podcast: Essentials for Leveling-Up Strategy with AI - with German Soto-Sanchez of Broadridge
aiandbanking.libsyn.com
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In Evan Kirstel's recent What's Up With Tech podcast, he interviewed AnswerRocket’s CTO, Michael Finley. He shared valuable insights on navigating the fast-moving AI landscape, "The technology is moving faster than the enterprise sales cycle." Businesses risk investing in solutions that may quickly become outdated, so Mike emphasized AnswerRocket’s flexibility and #AIAgnostic approach, designed to keep companies agile and adaptable. ⚡ Rather than locking into a single tech solution, AnswerRocket helps businesses create a tailored roadmap, guiding them through the best AI opportunities without the hype or commitment. 📐 “It’s about staying mobile and investing in flexibility,” Mike explains, ensuring companies can leverage #AI for real, lasting impact. Check out their conversation at the link in the comments below!
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AI applications are fundamentally reshaping how businesses create and capture value. Client demands shape company trajectories, but we saw shifts coming and built our blueprint first. Proximity Works started as a niche technology solutions partner specializing in tackling performance and scale engineering challenges for some of the world's most renowned companies. Over the years, we've invested heavily in bringing AI and ML talent on board, building knowledge and deep expertise that now powers our products and services. Today, AI-enabled services comprise over 70% of our offerings. We carefully integrated technological advancements into our existing expertise. The key is to be both thoughtful and decisive. In a recent podcast, our founder, Hardik, explored this topic in depth. Check it out here → https://lnkd.in/gbE9RGPD
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