?? Curiosity. Resilience. Determination. ?? Rob Roy, T-Mobile's SVP of Broadband, joins A&MPLIFY’s Bob Ghafouri on the A&M AMPLIFIERS podcast to share the leadership mindset needed for digital transformation. Tune in to hear Rob’s advice for making change within large organizations, overcoming adversity, and creating something extraordinary! ?? Check out the full episode here ???? https://okt.to/iHEPr1 ??Apple: https://okt.to/OF4VXP ??Spotify: https://okt.to/mRDKOa ??YouTube: https://okt.to/w1c86j ?? Don’t miss future episodes—follow the A&MPLIFY page for updates! https://okt.to/xfz6GX #DigitalTransformation #Innovation #Leadership #TechInnovation
A&MPLIFY by A&M
专业服务
Washington,District of Columbia 2,709 位关注者
A&MPLIFY accelerates customer growth and efficiency with design and AI.
关于我们
A&MPLIFY accelerates customer growth & efficiency with Design and AI. We are marketers, sellers, technologists, strategists, & data scientists from industry, consulting, and technology. Problems We Solve: - Stagnant Revenue Growth - High Customer Acquisition Costs - Inconsistent Experience Across Channels - Margin Leakage from Pricing & Promotions - Declining Marketing & Media ROI What We Do: - Customer Growth Strategy & Design - Marketing & Experience Transformation - Sales & Omni-Channel Commerce - Service Strategy & Design - Customer Data & Artificial Intelligence Customer DNA QuickStart (30 Days): Customer data 2 insights (price, promo, campaigns, media, offer, demand) Personalization QuickStart (30 days): Better Personalization on Commerce site and app w/sf.com. AI & Automation QuickStart (30 days): catalogue, prioritize, quantify ai/automation use cases in 2 year roadmap. Launchpad (1-Year): Dedicated AI team (data engineers, scientists, analysts, designers, marketers, & data AI stack)
- 网站
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https://www.a-mplify.com
A&MPLIFY by A&M的外部链接
- 所属行业
- 专业服务
- 规模
- 201-500 人
- 总部
- Washington,District of Columbia
- 类型
- 私人持股
- 创立
- 2022
- 领域
- customer experience、artificial intelligence、growth strategy、product development、digital marketing、data transformation和advanced analytics
地点
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主要
655 15th St NW
US,District of Columbia,Washington,20005
A&MPLIFY by A&M员工
动态
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?? Exciting News: Introducing Virtus - First of its kind artificial intelligence Innovation Center at the intersection of Enegy and Defense by A&MPLIFY by A&M and Energy Innovation Capital and in partnership with JBG SMITH, Amazon, and Virginia Tech. ?? Last night we announced the launch of Virtus, a groundbreaking 40,000 square foot innovation center designed to accelerate the future of defense, energy, and artificial intelligence. Strategically located at the intersection of these critical industries, Virtus is not only an incubator and venture fund but a powerful hub for disruptive ideas, transformative tech, and visionary ventures that brings together startups, corporations, hyper scalers and government. This collaborative ecosystem offers entrepreneurs, corporations, and government the resources and partnerships needed to incubate, launch, and scale cutting-edge solutions that address today’s toughest challenges in energy resilience, national security, and AI-powered advancements. I want to personally thank Virginia Governor Glenn Youngkin for his support and inspirational words at last night’s launch event, as well as Virginia Secretary of Commerce Caren Merrick, VIPC | Virginia Innovation Partnership Corporation CEO Joe Benevento, Virginia Tech Innovation Head Brandy Salmon, JBG Smith CEO Matt Kelly, Energy Innovation Capital Manging Director Andrew Lackner, JBG CSO Evan Regan-Levine, Nick Alvarez, Managing Director, Alvarez & Marsal, A&M Federal CEO Andy Lucido, and the many members of the DC tech, startup, and business community that came to show their support. Stay tuned for updates as we embark on this exciting journey to transform defense, government, and energy with AI. Let’s change the world together! #Innovation #Virtus #AI #Defense #Energy #Startup #Disruption #Future Paul Musselman Erin Turner Covington Peggy Roe Price Roe Richard Pineda Arun Gupta Aneesh Chopra Reggie Aggarwal Sanju Bansal Sid Banerjee Steve Bolze Kevin Skillern Jordan Roseborough Yucen Xie Larry Katzman David A. Javdan Kevin DeSanto Vardahn Chaudhry Brett Gibson Shooter Starr Andreas Lucido Dan Glading Mike Lincoln Greater Washington Partnership Mike Shuler
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Fantastic evening led by Bob Ghafouri Andrew Lackner Evan Regan-Levine at the Virtus Innovation Center. In order to sustain strategic and competitive advantage over our global adversaries, we need to create the ecosystem that drives and scales innovation, produces results for our National Security mission and ultimately commercializes. Virtus is the future! #Disruption #PrivateInvestment #Defense #Energy
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Managing Director Bob Ghafouri recently sat down with Rob Roy, SVP of Broadband at T-Mobile to talk about innovation and digital transformation. According to Rob, the best companies invest before they have to. In the tech industry, where innovation is moving faster than ever, it's crucial to anticipate change and position yourself ahead of the curve. T-Mobile's strategy is a great example of this—preparing early to stay at the forefront while allowing core operations to keep thriving. Check out the full episode here ???? https://okt.to/jCu8xs ??Apple: https://okt.to/mvKr1t ??Spotify: https://okt.to/DeOUBW ??YouTube: https://okt.to/uCyFGM ?? Don’t miss future episodes—follow the A&MPLIFY page for updates! https://okt.to/q7Xpnd #Leadership #Innovation #DigitalTransformation #TechStrategy
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Let's take a moment to express our gratitude to all veterans—past, present, and future—and reflect on how we can support them and their families. Thank you for your service! ?? #VeteransDay #TeamAMPLIFY
A&M honors the brave men and women who have fought for our freedom, and we extend our deepest gratitude for their service, courage and leadership. We are especially grateful to the veterans who have joined A&M, their contributions make us a stronger, more resilient firm. #AMon #VeteransDay https://okt.to/CIOVMi
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A&M honors the brave men and women who have fought for our freedom, and we extend our deepest gratitude for their service, courage and leadership. We are especially grateful to the veterans who have joined A&M, their contributions make us a stronger, more resilient firm. #AMon #VeteransDay https://okt.to/CIOVMi
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Palantir reports Q3 2024 revenue growth of 30% y/y, U.S. revenue growth of 44% y/y, GAAP EPS of $0.06; raises full year guidance on revenue, U.S. comm revenue, AFCF and adj. op. income well above consensus estimates on “AI demand that won’t slow down.” U.S. commercial revenue grew 54% y/y and 13% q/q, and U.S. government revenue grew 40% y/y and 15% q/q. We generated an adjusted operating margin of 38%, increasing our Rule of 40 score to 68% in Q3 2024. We also generated $1 billion in adjusted free cash flow on a trailing twelve month basis, with $435 million (60% margin) in Q3 2024. Our GAAP EPS of $0.06 in Q3 2024 outperformed analyst estimates by 50%. For FY 2024, we now expect revenue of $2,805 - $2,809 million, $42 - $52 million above analyst estimates of $2,757 - $2,763 million. See our full Q3 2024 financial results, including non-GAAP reconciliations, here: https://lnkd.in/g44webGK #PLTR #Palantir #AIP
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This is great for those who are trying to understand the breadth of machine learning algorithms and how they apply to business outcomes across the enterprise. 1. Supervised Learning - In supervised learning, the model learns from examples that already have the answers (labeled data). The goal is for the model to predict the correct result when given new data. 2. Unsupervised Learning - With unsupervised learning, the model explores patterns in data that doesn’t have any labels. It finds hidden structures or groupings. 3. Semi-Supervised Learning - This is a mix of supervised and unsupervised learning. It uses a small amount of labeled data with a large amount of unlabeled data to improve learning. 4. Reinforcement Learning - In reinforcement learning, the model learns by trial and error. It interacts with its environment, receives feedback (rewards or penalties), and learns how to act to maximize rewards. Alvarez & Marsal A&MPLIFY by A&M #artificialintelligence #data
Machine learning powers so many things around us – from recommendation systems to self-driving cars! 90 Completely FREE ML Courses- https://lnkd.in/gPjTZbP But understanding the different types of algorithms can be tricky. This is a quick and easy guide to the four main categories: Supervised, Unsupervised, Semi-Supervised, and Reinforcement Learning. 1. Supervised Learning In supervised learning, the model learns from examples that already have the answers (labeled data). The goal is for the model to predict the correct result when given new data. Some common supervised learning algorithms include: ?? Linear Regression – For predicting continuous values, like house prices. ?? Logistic Regression – For predicting categories, like spam or not spam. ?? Decision Trees – For making decisions in a step-by-step way. ?? K-Nearest Neighbors (KNN) – For finding similar data points. ?? Random Forests – A collection of decision trees for better accuracy. ?? Neural Networks – The foundation of deep learning, mimicking the human brain. 2. Unsupervised Learning With unsupervised learning, the model explores patterns in data that doesn’t have any labels. It finds hidden structures or groupings. Some popular unsupervised learning algorithms include: ?? K-Means Clustering – For grouping data into clusters. ?? Hierarchical Clustering – For building a tree of clusters. ?? Principal Component Analysis (PCA) – For reducing data to its most important parts. ?? Autoencoders – For finding simpler representations of data. 3. Semi-Supervised Learning This is a mix of supervised and unsupervised learning. It uses a small amount of labeled data with a large amount of unlabeled data to improve learning. Common semi-supervised learning algorithms include: ?? Label Propagation – For spreading labels through connected data points. ?? Semi-Supervised SVM – For combining labeled and unlabeled data. ?? Graph-Based Methods – For using graph structures to improve learning. 4. Reinforcement Learning In reinforcement learning, the model learns by trial and error. It interacts with its environment, receives feedback (rewards or penalties), and learns how to act to maximize rewards. Popular reinforcement learning algorithms include: ?? Q-Learning – For learning the best actions over time. ?? Deep Q-Networks (DQN) – Combining Q-learning with deep learning. ?? Policy Gradient Methods – For learning policies directly. ?? Proximal Policy Optimization (PPO) – For stable and effective learning. Happy Learning! #MachineLearning #AI #SupervisedLearning #UnsupervisedLearning #ReinforcementLearning #SemiSupervisedLearning #DataScience #MLForBeginners
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In this insightful episode of the A&MPLIFY by A&M podcast, Bob Ghafouri and Rob Roy, T-Mobile's SVP of Broadband and Founder of T-fiber, trade stories and share lessons on the importance of resilience and adaptability through the stages of digital transformation. Listen to the episode here: https://lnkd.in/e-vjJfEk #DigitalTransformation #Telecommunications #DigitalInnovation #DigitalSolutions
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Happy Halloween from your friends at A&MPLIFY by A&M! Post your Halloween night pictures in the comments below!