Ravi Patel

So why is permissoned data so important? here's my article on Gen Z permissoned data published in MarTech Zone: https://lnkd.in/dmKV_Pvi

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Crafting The Future. Featuring Arun Rajagopal Ep. 39 OUT NOW - https://lnkd.in/eAqUXyjF In this episode, Arun Rajagopal, Senior Director of AI and ML at adMarketplace, discusses the integration of AI in advertising and search optimization. Snippet question - "Are you able to share insights into the newest AI-driven feature of innovation at adMarketplace?" #ai #artificialintelligence

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I’m a fan of pretty much all the Marketecture Media episodes, but I particularly like this one with Gokul Rajaram (and Eric Franchi‘s Cannes recap). Gokul and Ari talk about the origins of Google’s AdSense, the decision and process of acquiring DoubleClick, developing a unique ads value prop at facebook, and what Gokul’s favorite social platform is today. 🤔 …plus some teaser thoughts on practical adtech applications for AI (@Octane11 we have some ideas too ;)

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Abhinav Duggal is one of the smartest & most accomplished leaders in the Saas consulting (sales & GTM) space, and has incredible insights in those areas. Thanks for making time to share your insights on The Inventive Podcast, Abhinav!

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YC is an accelerator. Faster networks, faster fundraising...it's about getting back to what you do best: BUILDING. Laduram Vishnoi isn't just talking the talk. Proof? He raised $6.5 million in his seed round, topping his entire YC batch in both funding and valuation. 💪 Could he have raised even MORE? Absolutely. But his focus? Scaling smart, with the resources to drive growth for years. YC success stories are inspiring...but THIS is the kind of outcome that gets founders REALLY paying attention. Want to hear the whole story? Watch the full episode here - https://lnkd.in/eqawwxcX . . . . . #startup #startups #founderstory #ycombinator #ycrejects #funding #seedfunding #venturecapital #entrepreneurship #techstartup #software #microservices #monitoring #observability #cloudcosts #saas #devops #cto #techfounder #middleware #lobstertalks

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Reflecting on the interaction with Indi Davis Andy Male Laurent Thevenet and Dhanesh Kumar Vyas at the Event: The Role of GenAI in Media and Advertising at INSEAD campus. 🚀GenAI is here to reshape the landscape of Media and Advertising by impacting every aspect of business; some early success and use case are around: 1️⃣ Personalization: GenAI enhances personalization by analyzing vast amounts of data to tailor content and advertising to individual preferences and behaviors. This capability improves customer engagement and loyalty by delivering more relevant experiences. 2️⃣ Creative Image Generation : Through advanced algorithms, GenAI automates and accelerates the creation of visual content, including images and videos. This automation not only increases efficiency but also enables marketers to explore more creative possibilities and produce visually compelling campaigns. 3️⃣ Content Generation: GenAI-driven tools empower marketers to generate high-quality content at scale. By leveraging natural language processing and machine learning, these tools create content that resonates with target audiences, freeing up marketers to focus on strategy and innovation. 4️⃣ Empowering SMEs: GenAI democratizes access to sophisticated advertising tools, leveling the playing field for SMEs. This technology allows smaller businesses to compete effectively by optimizing advertising campaigns, reaching broader audiences, and driving growth. 🌐 I am learning and exploring the topic, do share your use case. #GenAI #Media #Advertising #Innovation #DigitalTransformation #SMEs #Personalization #ContentCreation #CreativeAI

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Curation as a service from the buy-side perspective. The middle now leans towards supply as cookie restrictions collapse data portability. Great piece by Anthony with technical explainers, use cases, and lift metrics. We still need some time to see the market tension develop, but I think the SSPs and Curators (aka data companies) are on a roll here. https://lnkd.in/gEjM_-XM #DCaaS #digitalpublishing

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What’s going on in search? It’s changing and it’s moving to the edge. Search dominated as a topic at the Forbes-sponsored IIA AI Summit at MIT Media Lab. Perplexity Co-founder and CEO Aravind Srinivas spoke on the Future of Search with Ramesh Raskar, Associate Director at MIT Media Lab, and Dave Blundin, Managing Director at Link Ventures. “AI search is when you harness the reasoning power of LLMs with facts that exist in regular search engines to create a new entity. The user doesn’t care what model you’re using, they just want good answers,” - Aravind Srinivas, Co-founder and CEO, Perplexity. Aravind’s unicorn startup Perplexity uses Groq’s proprietary LPU (Language Processing Unit™) to speed inference (read: the time between user prompt and model response) on a range of AI models including Claude, Llama, Mistral and OpenAI GPT. An orchestra of models, if you will, that provides answers in near real time with low latency. Groq helps Perplexity give people the answers they need quickly. “Groq will bring inference process down, and scale AI products to more users,” Srinivas continued. The next phase of search is already happening on edge devices. Think phones, wearables, glasses, you name it. Soon, AI search will be “On-the-go, everywhere. It will be voice-based and use images. It will be multimodal–ask a question thru your glass[es]. It understands and gets the answer to your AirPods,” for example, said Srinivas. “Latency can only be addressed if the models are living on device.” WHY THIS MATTERS: Both AI search and SM (Small Language Models) will run on-device to interact with us via STT through phones, glasses, wearables, etc. “For on-device inference, use fewer, more powerful chips,” Srinivas explained. “Apple is best on device hardware.” On the corporate side, Srinivas encouraged businesses to RAG their own data and use “Databricks and Snowflake keep the data secure,” adding that for “compute and hardware, NVIDIA is best for training. And the best for cloud inference.” More search insights: “All search will be AI search.” -Anna Kazlauskas, CEO, Vana "In 5 years, most of the internet usage will be done by AI agents, not humans.” - Vinod Khosla, CEO, Khosla Ventures "Every major search engine (Google, Bing, etc.) will rapidly integrate AI from the previous version of web search, the so-called '10 blue lines'.” - Lex Fridman, Lex Fridman Podcast “AI is running on exponential time,” - Aravind Srinivas, CEO, Perplexity What’s Groq? https://lnkd.in/ejyTZVBK What’s STT? https://lnkd.in/dNFhVHet #ai #IIA #aisearch #perplexity #MITforge2024 Image: Ramesh Raskar, Aravind Srinivas, Dave Blundin John Werner

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# Exploring New Frontiers in AI: Apple's Potential Partnership with Meta As someone who has been deeply entrenched in the artificial intelligence (AI) industry for over two decades, I am excited to share my thoughts on a key development highlighted in a recent news article. Apple is currently in discussions with Meta to enhance its AI capabilities, building on the momentum from its recent integration of OpenAI's ChatGPT into Siri. ## Diversification of AI Partnerships Apple's exploration of a partnership with Meta marks a strategic pivot to diversify its AI partnerships. This approach could reduce Apple's reliance on a singular AI partner and foster a more robust ecosystem of AI technologies. By integrating Meta’s generative AI technology, Apple could further solidify its position at the forefront of consumer tech innovations. ## Validation of Meta's AI Technology Notably, a successful collaboration would validate Meta’s foray into the generative AI space. Meta has been primarily known for social media and virtual reality. This partnership could bolster its reputation and credibility in AI, potentially leading to broader adoption and accelerated advancements. ## Leveraging Distribution as Currency It's fascinating to see Apple leveraging its massive distribution network as currency in these partnerships. By offering AI partners the opportunity to sell premium subscriptions via its platform, Apple creates a symbiotic relationship without direct financial transactions. This model can potentially revolutionize how tech giants collaborate, shifting from traditional financial exchanges to value-based integrations. ## Data Sharing and Privacy Concerns The integration of ChatGPT into Apple’s systems has sparked concerns about data sharing. Apple has assured that user permission will be sought, emphasizing its commitment to privacy. It will be crucial to monitor how effectively Apple navigates these concerns, particularly in light of increasing scrutiny over data practices globally. ## Global Regulatory Challenges Apple’s exclusion of the European Union from the release of Apple Intelligence due to the Digital Markets Act underscores the growing complexity of global regulatory environments. This regulatory landscape could shape the future of AI deployments and innovations, compelling companies to tailor their strategies to meet

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We are seeing more and more AI companies participate in this year's NRR Survey. This is an annual survey that Ibbaka conducts with PeakSpan Capital. Share your insights and help build a shared understanding of how we drive growth. https://lnkd.in/gYZ9GxBZ #NRR #NDR #SaaS #AI #generativeAI #pricing #monetization

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👴🏾 If Alexa notices that you play a lot of 1990s hits, Amazon might suggest anti-aging serums…or Nirvana’s MTV Unplugged in New York album on vinyl. That’s the power of personalization. Real-time data provided by interconnected devices offers marketers a goldmine of insights into customer behavior and preferences. You can leverage that data to offer highly personalized content, recommendations, and interactions across a multitude of platforms and touchpoints for your customers. This blog post details 4 big tech trends to consider for elevating your e-commerce strategy with the power of personalization. You can read it here: https://lnkd.in/gKNqUWgS What’s your favorite example of personalization in marketing?

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I am a strong advocate of consumer research-led marketing vs gut-based marketing. Maybe the bias comes from ~5 years in research-first advisory/consulting roles or maybe the other 6 years being on the ground with consumers to drive growth for startups. It just makes it easier to make decisions in marketing. But sometimes in the daily grind, I forget to interact with my own customers - startups. So I am back with another round of helping early stage founders - no strings attached! 30 minutes of solving your most pressing growth challenges, it can be anything from: - Which paid marketing channel to start with? Meta vs Google - Why is my GTM plan not working? - What ROI to expect from brand marketing? - Organic vs Paid marketing - which is better for my startup? - Or just catch up on the basics - what is Growth marketing? If you are a Seed or Series A funded startup, I would love to connect and help out. Like I said no strings attached, just 30-minutes of solving growth. Book your slot here: https://lnkd.in/gkdjMCuX #growth #consulting #digitalmarketing #productmarketfit #gtm #startups #founders

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This is a very pertinent, well thought-out article about AI-first products. AI-enabled workflows are fundamentally different as they are a much more symbiotic / relay relationship between digital agents and humans. In such a scenario, what's the fastest-way-to-demonstrate (thus capture)-value? https://lnkd.in/d9Mt6FTc #aiagents #airecruiters

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Really interesting insights from the early days of our industry.

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During a recent conversation, Gaurav Passi, CEO of Zingly, shared how their innovative technology is reshaping customer engagement. During our discussion, Gaurav discussed Zingly's mission to revolutionize customer experience by building meaningful relationships beyond transactions. He highlighted the power of their Collaborative Customer Experience (CCX) platform, and its impact on reducing friction in customer interactions. https://bit.ly/3Xs4bJe

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We are still in the early phase of enterprise generative AI and the signs are encouraging for companies to allocate more budget for pilot projects and production. The timing follows annual budget cycles. Of the CIOs surveyed by Morgan Stanley at the end of 1Q24: - 8% already having #AI projects in production - 38% will put projects into production in 2024 (most in 2H24) - 42% expect to be in production in 2025 and beyond. Customer support, various #marketing tasks, and software #programming assistance appear to be the dominant use cases across industries. Most enterprises are using available large language models (#LLM) without modification, and are working to overcome shortcomings like response accuracy, hallucinations, #data privacy, and cost. #generativeai #chatbot

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What a great conversation with Anthony Coppedge of IBM who was so generous with his time in walking us through his methodologies and processes to use data to improve internal processes—on our latest episode of Data-Driven Decisions. Be sure to stream it wherever you get your podcasts! HT to Ana Manrique for the introduction 💌 #podcast #datadrivendecisions #datadrivenpersonalization

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In the depths of the AI hype cycle we’re now in, I heard something really refreshing last week… I was speaking on a panel about AI hype vs reality with Rick Rioboli, and he broke down the steps his team at Comcast took when approaching AI. They set out to first identify real business problems…and then work back to find ways AI could solve them. That might sound simple, but it’s the opposite of what often happens during hype cycles.   Companies can get swept up in the hype and think “we need this technology asap!” before assessing how it will actually improve their business. Comcast undertook a process of partnering with different business units to discover specific areas where teams could improve their efficiency. From that process two AI use cases emerged that could meaningfully improve their business operations: 1. Developer productivity: AI copilots to improve the developer experience 2. Support agent productivity: a RAG-based Q&A system to help agents solve customer problems faster They moved quickly to roll out first versions of these capabilities, starting with small pilots and then expanding to wider deployments. They now have thousands of developers and agents using AI, and they’re seeing real results. Hype cycles have a way of distracting from the real problems that need to be solved. Comcast’s pragmatic approach is a great example of how to avoid the distractions and focus on the use cases that create lasting value. You can watch the full panel discussion at the link in the comments. #ai #hypecycle #productivity

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A really interesting and powerful performance management practice. "Use the “30-day test” to maintain a high-performance team. Create a reminder to ask yourself this question 30 days after someone joins the team: “Knowing what I know today, would I hire this person?” If the answer is yes, tell the person you’re excited about them and give them more equity—you’ll gain a lot of loyalty. If the answer is no, you need to fire them immediately, to avoid the inevitable damage they will cause to you, your team, and themselves." from Uri Levine Founder of Waze, via Lenny's podcast. https://lnkd.in/gyS2HzZP

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