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In December 2022, just a month after the introduction of ChatGPT, Google understood the risk as well and launched a ‘code red’ – a company-wide emergency effort to tackle generativeAI and come back with an adequate response to ChatGPT and Microsoft Bing.
Sector Trends : The report identifies untapped potential in DevOps , resilience in Defense Tech and VerticalAI, and a plateau in some areas of Cybersecurity. It also notes that consumer-facing generativeAI apps with low technical barriers may be overvalued.
OpenAI for enterprise key features: Enhanced privacy, SOC2 No usage caps performs up to two times faster 32k context in Enterprise, allowing users to process 4x longer inputs or files Samsung Electronics, Google and others have restricted employees from using generativeAI bots for fear that confidential information will be leaked.
Andreessen Horowitz Consumer Team Opportunities for startups I’m a big fan of the content A16Z has been publishing on generativeAI over time. Smart Contracts – Powering the internet-native financial system, smart contract networks could generate fees of $450bn in 2030. It’s time to build!
So this is competition, it's demand, it's all those things that influence what is available to you. That what used to be more vertically integrated efforts by different companies are being picked apart by especially entrepreneurs coming in and taking various pieces of their value chain, again, leveraging digital.
The country ranks 3rd globally in private AI investment, demonstrating its strong position in the global AI market. The new AI landscape included in the report (below) is a great evolution of the Israeli GenerativeAI landscape we (Remagine Ventures) published in Calcalist in May 2024. VerticalAI is a stronghold.
An interesting new report by Dealroom and Flow Partners breaks down the massive investment that the “Magnificent Seven” (or M7 for short) are plowing into AI across verticals. It’s impossible to ignore the impact that Google/Alphabet, Microsoft, Amazon, Nvidia, Meta, Apple and Tesla/xAI have on AI.
In November 2022 I published a post titled “ generativeAI will go mainstream when it goes from playful to useful “, and I think you will agree that this transition is in full swing. 2023 was the year generativeAI went mainstream The pace of advancement in generativeAI has been astounding.
Depending on your goals, new products can deepen the wallet share of your existing customers by focusing on new users or new use cases, or they can expand your TAM by targeting new customers, new geographies, or new verticals.
Every year, LinkedIn recognises the most in demand companies in each of the major startup hubs, but this year they failed to include Israel. YouTube launched a bunch of generativeAI video capabilities for creators and Google made several upgrades to the impressive NotebookLM. That’s all for this week.
Adversarial attacks against AI fall into three types: Data misclassification – to generate false positive or negative results. Synthetic data generation-to feed false information. Data analysis – for AI-assisted classical attack generation. AI Attack Surfaces. We’re Just Getting Started.
It’s only been a bit over a month since the start of 2025 past year has witnessed seismic shifts in technology, from breakthroughs in generativeAI to emerging solutions in climate tech and healthcare. VerticalAI Agents: YC wants to fund companies building AI agents that are tuned to automate specific types of work.
But in the coming age of generativeAI, endless synthetic content and misinformation – there might be an opportunity for traditional media companies to regain their reputation as a 4th branch within a democracy. How can media companies transform generativeAI from threat to opportunity ?
It’s hard to believe that ChatGPT is only 2 years old, considering the amount of capital that has been invested in generativeAI startups since. Task completion: monitor the prices for the best holiday packages, products and deals Startup Opportunity: Platforms enabling secure AI-to-AI transactions.
Until now, the majority of the value in generativeAI has been captured by the infrastructure layer: foundational models (LLMs), the cloud providers and the hardware infrastructure/ data centres. However now, the AI landscape is undergoing a significant shift, prompting a crucial question: Where will the future value of AI accrue?
Here are some key areas and related startup opportunities: AI for the Physical World ? The resurgence of nuclear energy : A16z predicts a surge in demand for nuclear energy, driven by regulatory reform, public enthusiasm, and the growing energy needs of AI data centres.
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