Ken Weiner

Brands in the EV space are up against managing a vast amount of data. On June 18, hear from industry experts, including Duane Forrester, VP of Industry Insights at Yext, and Roderick van den Berg, CEO of Eco-Movement to learn: ▪️ How to attract drivers searching for charge points by centrally managing your data ▪️ Ways to tackle challenges faced by EV companies with practical solutions ▪️ Ways to tap into an extensive network of third-party mapping services to ensure your charge points are easily found Save your seat: yex.tt/3V6DJn1

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Learn how you can leverage AI-powered video-level contextual targeting on CTV to elevate ROI, engagement, and drive brand lift.

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ICYMI check out the in-depth review by PR publication Sword and the Script Media, LLC about why Propel PRM has become the top innovator and smart alternative to legacy (aka mediocre!) PR software In Frank Strong's words, "That said, while I strive to be agnostic, and fair, I don’t dish out praise lightly. Yet now and then a software product comes along and makes an impression. Recently Propel, an Israeli PR software startup, has done just that." https://lnkd.in/d9qPP5Bh #PR #PublicRelations #PRM #AI

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It's happening in 30 minutes where I'll be interviewing Fireworks AI and GoBots. Come join us to learn how companies are building successful #AI strategies with MongoDB.

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🚀 Transform your "popular service" to a "profitable platform service" with dynamic capabilities! 💭 We've all seen new platform services that receive glowing reviews and high buy intent, yet struggle to convert these into actual sales. A prime example is the launch of Microsoft's AI client, Microsoft Copilot. Despite stellar pre-launch reviews, the post-launch pickup rate was unexpectedly low. 🤓 David Teece's research on dynamic capabilities sheds light on this issue. Customers may "sense" the value and even "seize" it by experimenting with free trials, but the real challenge lies in helping them "transform" and internalize the service into their daily operations. 💫 Read our latest article to discover how you can better position your platform company to accelerate this critical transition phase and boost your sales. 🔗 Read more about dynamic capabilities and practical tips here. by Axel Krabberød at platform b.

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What are our SVP of Marketing's top 3 GTM bets for 2024? 💡 Over the next few days, we are going to highlight Kacie Jenkins' top 3 GTM bets for 2024 that she shared during the Wynter Games. The first? Prioritizing personalized and intimate events. Listen why Kacie's betting on these events below & book a demo to find out how Sendoso can help with your events strategy here: bit.ly/3UigiXq 🎉

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DAS is out with ICY, HLS, multi bitrate and HLS + ABR + DAI that truly works out of the box

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This analysis is interesting, but it lacks judgment based on data analysis and profit margin calculation. Currently, manufacturers of 6DOF VR all-in-one headsets are selling each unit at a loss, yes, you heard it right, they are incurring significant losses. One company in the industry expanded from 400 employees to 2000, then downsized to 200 after experiencing two years of severe loss-making investments, and now they are focusing on the B2B market. Meta's quarterly losses even exceed hardware sales by tenfold. Continuing this kind of business model is simply burning investors' money. Products like Oculus Go, with a form factor of 3DOF all-in-one headsets, have completely different use cases from products like Quest, which are 6DOF all-in-one headsets. This market does not have consumer users; it focuses on dozens of application scenarios such as education, training, healthcare, and entertainment. These scenarios demand customized products with relatively lower performance requirements. They need simple deployment and user-friendly operation. What's especially important for B2B industries is that manufacturers can develop different functions based on different scenarios and software to meet various customer needs. Moreover, over the past few years, tens of thousands of software and hardware manufacturers, content providers, and integrators have benefited from these 3DOF scenarios. They are making money; they are not incurring losses, especially not from failed products as mentioned in the article. https://lnkd.in/g2vdM9nH

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The next wave of disruption is coming for software vendors! With nearly 30 years in the SaaS space, Wunderkind’s Richard Jones is already seeing a shift in the future of marketing software. Wanna hear about it? Listen to the episode: https://lnkd.in/g6HFQD-h #digitalmarketingtips #marketing101 #entrepreneur #digitalmarketing #marketingstrategy

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🔥Hot Stat Alert!🔥 Is Artificial Intelligence our greatest ally or a looming threat? The world is divided on whether to embrace or fear AI. Dive into our latest global AI monitor to uncover shifting attitudes towards AI, pinpoint where AI will revolutionize industries, and explore what the future holds. Download the report now: https://lnkd.in/eXn82Pz9 #IpsosHiAi #AI2024 #MarketResearch

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This is the age when nobody knows what the next product will look like—even Google and Apple. ===================== Google refines AI Overviews feature to address bizarre and inaccurate responses. Flawed training data and algorithmic errors led to 'AI hallucinations.' Google acknowledges the challenges and commits to improving accuracy and reliability. Restrictions imposed on AI Overviews to limit misinformation and harmful content. Concerns raised about user safety, bias, and transparency. Users have the option to disable the feature and prioritize traditional web search. Gemini AI integration in Gmail needs accuracy improvements for user trust. Google's AI language model, Gemini, generated inaccurate and unhelpful search results, including false claims about Nintendo characters. Google vows to ensure accuracy in the future. #AI #Google #Accuracy #Transparency #UserSafety #Gemini  https://lnkd.in/geazMBJR

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"Targeting is key to driving lift in the brand funnel metrics of Aided Awareness, Consideration and Purchase Intent, with Online Video, Online Display, and CTV clearly outperforming Linear TV" Learn which advertising channels actually work to drive different brand metrics (and WHY) in this great new data-rich white paper.

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Are domain-specific LLMs right for your business or should you just use a general-purpose model? Take a look at Gradient's deep dive on Domain-Specific Models for Enterprise 101 to learn about: 🔗 https://lnkd.in/gbyg6ZRz ✅ Advantages of Domain-Specific Models ✅ When to Use Domain vs General Purpose Models ✅ Performance Comparison Between the Two ✅ How to Get Started with Domain-Specific Models If you find that domain-specific models are a right fit for you, Gradient has released proprietary state-of-the-art domain-specific models for finance and healthcare!

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This is so great to see! As we head into the Upfronts and Newfronts, brands need to know they can reach a massive audience, using video, that doesn't get skipped or ignored and is 4x more efficient on a cost per second viewed metric. Efficiency AND Impact from In-Scene Media #uninterrupted #advertising with #AI

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𝐈𝐓𝐃𝐢𝐠𝐞𝐬𝐭’𝐬 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐖𝐢𝐭𝐡 Andrew Weisselberg, 𝐕𝐏 𝐨𝐟 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐚𝐭 SoundHound AI Building the right marketing infrastructure means finding the right people and the right tools, and avoiding the wrong ones. In high-growth environments like startups, you often need to build this infrastructure from the ground up. Read complete interview : https://lnkd.in/gE5EkVWv #artificialintelligence #Businesstechnology #InformationTechnology #Interview #ITDigest

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Olivia Moore and Anish Acharya see massive opportunity when it comes to voice agents. There is opportunity at each layer — infra players, consumer interfaces, and enterprise agents. For B2C and B2B voice agents, they have a few hypotheses around the most exciting emergent products. For B2B agents, they see opportunity in these areas: LLM based — but not necessarily 100% automated from day one. The “strong form” of an AI voice agent will be an entirely LLM-driven conversation, not an interactive voice response (IVR) or phone tree approach. However, because LLMs are not 100% reliable all the way through, there is likely to be some (temporary) “human in the loop” for more sensitive/larger transactions. Tuning custom models vs. prompting LLM approach. B2B voice agents will need to navigate specialized (or vertical-specific) conversations for which a general LLM is likely insufficient. Many companies are tuning per customer models (using a few hundred or low thousands of data points) and will likely extrapolate this back to a company-wide base model. The custom tuning may even continue for enterprise clients. Technical teams with domain expertise. Given their complexity, some prior AI background will be helpful — if not necessary — for spinning up and scaling high quality B2B voice agents. However, understanding how to package the product and wedge into the vertical is likely to be equally important — requiring either domain expertise or strong interest. Sharp POV on integrations + ecosystem. Similar to the above, buyers in each vertical have a few specific features or integrations that they are typically looking to see before they will make a purchase. In fact, this may be the proof point that elevates the product from “useful” to “magic” in their assessment. This is another reason why it makes sense to start fairly verticalized. Either “enterprise grade” or strong product-led growth (PLG) motion. For verticals with significant revenue concentration in the top companies/providers, voice agent companies may start with enterprises and eventually “trickle down” to SMBs with a self-serve product. SMB customers are desperate for solutions here and are willing to test a variety of options — but may not provide the scale/quality of data that allows a startup to tune the model to enterprise caliber. For more of their thoughts, check out the full story here: https://lnkd.in/eF2ACkQB

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