SaaStr
MARCH 18, 2025
Examples like ChatGPT and Perplexity demonstrate how AI applications can be adopted through PLG strategies. Joselyn Goldfein , Managing Director at Zeta Venture Partners, which invests in AI and data infrastructure-focused startups from inception through seed stage And see everyone at 2025 SaaStr Annual, May 13-15 in SF Bay!!
Scytale
FEBRUARY 25, 2025
In 2025, cybersecurity remains a critical focus for organizations worldwide. Organizations undergoing digital transformations need to carefully manage the associated risks, such as cybersecurity vulnerabilities, data privacy implications, and regulatory compliance in the digital landscape.
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IT World
DECEMBER 26, 2022
Through it all the classic tech themes—including innovation, constant change, and the fight to bolster cybersecurity—continued as ChatGPT was released, Broadcom sought to purchase VMWare, a Mac renaissance began to flower, and teen hackers brought major companies to their knees.
Clouded Judgement
JULY 17, 2024
ChatGPT was released to the public in 2022. Cyber Security (Intrusion detection systems, antivirus): Cybersecurity measures protect data centers from digital threats such as malware, hacking, and other cyber attacks. From 110 > 90 > 55 years between industrial revolutions. AlexNet came out in 2012.
User Pilot
FEBRUARY 21, 2024
As you’ve heard about ChatGPT, it can already assist you in creating an actual product strategy if you provide the right data—going as far as creating predictive models, simulating customer interactions, or brainstorming ideas for product development.
How To Buy Saas
JUNE 13, 2024
What is GPT-4o? GPT-4o is the newest AI model launch from OpenAI, the company that has previously introduced the robust ChatGPT models that we are all familiar with. GPT-4o is the successor of GPT-3, GPT-3.5, GPT-4, and GPT-4 Turbo. ChatGPT Plus Access: Good news for ChatGPT Plus users!
Scytale
APRIL 15, 2024
Limited Risk (LR): Systems like chatbots (ChatGPT) or deepfakes fall under LR. Cybersecurity will play a crucial role in ensuring that AI systems are resilient against attempts to alter their use. Minimal Risk (MR): This category includes most AI systems like spam filters or video game bots. data poisoning) or trained models (e.g.,
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