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Drawing from his 20+ years of technology experience and extensive research, Nishant shared insights about how these activities vary across different organizational contexts – from startups to enterprises, B2B to B2C, and Agile to Waterfall environments.
He also wrote my 9th most popular post of all time ( Become a more technical product manager ). Claude , ChatGPT ): The AI tools you probably know, which can also write and explain basic code Cloud development environments (e.g. Claude goes one step beyond ChatGPT’s abilities with their Artifact system.
Depth over breadth: Revolut’s leaders deliberately go extremely deep into 7 to 10 projects (out of 100 or more running simultaneously), but at a code and technical implementation level. This eliminates the uncertainty of whether poor traction is due to a bad idea or poor execution, making feedback interpretation clearer.
With the release of ChatGPT, it seems like a digital assistant has arrived. Breaking-edge technology usually feels like something that requires advanced technical knowledge. ChatGPT on the other hand is easy to access, use and train for anyone. In this article, we’ll explore what ChatGPT is and how it works.
Customers are mostly flexible with their car preferences due to the nature of the marketplace. AI Vision : Intelligently match customers with their ideal car through a sophisticated, single-prompt recommendation engine. Prompt samples based on real Data on how customers source for cars in rental marketplaces.
To use AI well in product management, we need to know how to ask it questions (called prompt engineering), balance AI ideas with human know-how, and always double-check AI’s work. Brian has been working for 15 years in different industries like finance, healthcare, and technology. Louis PDMA chapter.
Building the ODI Framework After the PCjr setback, Ulwick moved from engineering to product planning at IBM. Ulwick introduced the opportunity algorithm in a 2002 Harvard Business Review article. AI in Innovation: Promise and Limitations Artificial intelligence tools like ChatGPT are emerging as potential aids in innovation.
A design and engineering approach that has become more important than the technologies that benefit from it. You can use it to analyze feedback sentiment, simplify complicated technical jargon, or just write faster. You diligently do discovery to ensure that the idea has product-market-fit or product-user-fit.
In this article, we’ve selected 24 of the best AI podcasts for you to listen to improve your knowledge of AI and keep up to date with the future of AI technology in product management and more. It is a valuable resource for ML/AI researchers, data scientists, engineers, and tech-savvy business and IT leaders. TL;DR Podcast.ai
This approach can free up internal resources, reduce time to market, and provide access to niche skills, especially in emerging technologies such as artificial intelligence, blockchain, and the Internet of Things. Startups can ramp up to 20 engineers for an MVP phase, then scale down to a lean team for maintenance.
This guide breaks down the essentials: Customer Insight, Market Analysis, Organizational Impact, and Technical Mastery. You can develop your product instincts through hands-on experience and practice: Always learning: Stay updated on industry trends, user behavior patterns, and emerging technologies. Share People-First Leadership 2.
We’ve made it to the end of 2022 – 12 months in which everything changed for the tech industry. After booming for the best part of two decades, a number of factors coincided to transform the SaaS landscape and tech more broadly. As we know, we’re in the middle of a tech industry slowdown. Well that was quite the year.
That changed in 2024 — the year AI stopped being a side project and became the engine of digital banking. finance, tech) have been quicker to adopt GenAI as well. These countries have invested heavily in AI and show a strong cultural receptiveness to new tech. Few other sectors have GenAI permeating so widely across functions.
White hat designers In Part 1 of this story, we explored how a lone in-house design generalist can free up time and resources by offloading routine UI maintenance tasks to web engineers. Unfortunately, due to the nature of design tasks, especially in-house B2B design, it’s often viewed as a supportive function rather than core.
While we’ve known for a while that our living space was due for an update, it wasn’t until our 10-year-old daughter started asking for her own room that we realized we couldn’t put it off any longer. Step 1: Acknowledge the Load Let’s first understand what the mental load looks like in a tech company.
Brought to you by: • Explo —Embed customer-facing analytics in your product • Sprig —Build products for people, not data points • Sidebar —Accelerate your career by surrounding yourself with extraordinary peers — Tamar Yehoshua is the president of product and technology at Glean.
It is our job to create computing technology such that nobody has to program. ” These are arguably the smartest people in the world when it comes to AI, and they are saying that historically high-level skills like engineering and business (and game) strategy are going to be solved by AI. .” People stuff!
It involves manually reading many posts or reviewing searches tied to multiple keywords, sifting through numerous irrelevant posts, creating Jira tickets for relevant issues, and ensuring that nothing falls through the cracks. I decided to face it head-on by putting myself, the least capable technical talent, on the job.
The team’s technical skills are solid, but they’re undermined by poor communication, especially around requirements and expectations. This is where a technicalreview can be useful!) In this post, we’ll show you how to identify common signs that a dev team isn't performing as expected, even if you’re not that technical.
Some context: The typical product manager ( PdM ) gets dozens of new requests and demands and ideas and suggestions and escalations and bug reports and customer complaints and ChatGPT-generated word salads each day. A typical maker team* can finish a handful of small things each week, or chunks of one or two larger things.
Sales (inevitably) wants to expand our European SMB tech manufacturing ICP to include US-based global banks. This requires a quick-but-urgent review of the opportunity with Product and Engineering before it’s committed to the revenue pipeline. Product fit will probably be catastrophic. This
Stories range from “20 ways you can use ChatGPT to make your work easier” to “here’s how AI will end civilization as we know it.” For perspective, AI has been incubating for a long time – which is typical for currently-hot tech stories. (GDPR? PII?
Technically, serverless isn’t really “server less” as there are still servers that run your application, but they are managed by your cloud provider (read: out of sight, out of mind.) Micro frontends have immense benefits, but it’s not a technology you can use off the shelf. ChatGPT has brought the AI discourse to every industry.
Today, AI tools have become a powerful aid in helping technical and non-technical builders with those aforementioned tasks of coding, illustrating, writing copy, and the like. But how far off are we from this technology no longer needing us humans to guide it in the building process? But there’s another route to advancement.
For most people, that door opened in late 2022 when ChatGPT was released to the public. LLMs have transformed AI technology by mimicking human language and reasoning across industries. Supervised learning is when the training information provided to an AI technology is controlled by the people who develop or operate it.
Brandon Shalton, a technologist with decades of experience applying technology to solve human problems talks about AI integration as a tool to help in scaling healthcare delivery, thinking different for fostering innovation and what it takes for being a successful healthcare CTO. Connect with Brandon on LinkedIn here.
The Advanced Data Analysis feature allows users to upload a file to ChatGPT. Once processed, users can ask specific questions about the data and ask ChatGPT to perform tasks such as creating summaries which could be shared with stakeholders or generate data visualisations based on prompts. Full State of Tech Salaries report.
With the rapid evolution of technology, particularly AI, resulting in a major shift in interaction paradigms in recent years , there’s a pressing need to rethink the design process. This approach involves examining what current technology enables and figuring out how it can be utilized to achieve user outcomes. Key Callout: 1.
Products like ChatGPT, Hulu, ESPN+, Disney+, and Pandora that are subsidiaries of larger companies are excluded. This helps explain why ChatGPT became the fastest-growing app ever, with a core value promise so profound that it reached 100M MAUs in just two months largely through organic growth.
In other news, Adobe’s acquisition of Figma is reportedly stuck in limbo due to regulatory challenges and this week the company made no mention of it at its annual conference in Los Angeles. This Chartpack is designed to help you to stay up to date with the shape of the web in 2023 so that you can make stronger strategic technical decisions.
We have reviewed current AI design tools to understand their capabilities, strengths, and limitations so we can understand the impact AI will have on the design industry and on our work as designers. Some of the questions that were on our minds: How can we use this technology to our benefit? This is due to the following factors.
As you can likely guess if you’ve been following this newsletter, I fall on the side of favoring collaboration as being a key area of focus for performance reviews. I find such an attitude ironic as technology is always changing. Looking to technology trends, Chris Dixon reminds us of the power of collaboration.
In a recent episode, our Director of Machine Learning, Fergal Reid , shed some light on the latest breakthroughs in neural network technology. We chatted about DALL-E, GPT-3, and if the hype surrounding AI is just that or if there was something to it. The bot is powered by GPT-3.5, ChatGPT’s big debut.
Collaborate with design and engineering teams. Identifying users’ needs, wants, and problems In today’s world, there’s no such thing as a perfect digital product, all thanks to evolving customer expectations and the emergence of new technologies. Identify bugs and technical issues. Conduct market and competitive research.
To evaluate this in a systematic manner, the SAMR model is a helpful framework for educators to assess technology integration. If you, like me, have come from academia, you probably shed a tear thinking about how these tools could have sped up the literature review process for your thesis if only they were available when you were writing it.
For more: Best of Lenny’s Newsletter | Hire your next product leader | Podcast | Lennybot | Swag Subscribe now In my quest to develop a comprehensive benchmark to measure progress toward AI replacing PMs, I teamed up with full-time prompt engineer (and past collaborator) Mike Taylor on a piece that will surely blow your mind.
Oh no, not another blog about ChatGPT. However, even if you’re sick of hearing about this already notorious artificial intelligence tool’s strange adventures, it’s likely here to stay, and we’re only scratching the surface of the impact of this cutting-edge technology. powered Bing search engine. The premise is simple.
The most famous Text AI is OpenAI’s ChatGPT, initially released just four months ago–though in the current mode of acceleration, those four months seem like ages. That Stable Diffusion moment is happening again right now, for large language models—the technology behind ChatGPT itself. Mind-blowing.
Similar to tech debt, there will be undesired consequences later on. For existing employees, when conducting performance reviews, consider if they listen with patience and go into situations seeking to understand or is their style to belittle, intimidate or control. In product companies, we live for these disruptive technologies.
Staying informed on AI developments ▶ Sources for AI news: Marily recommends following experts on Twitter and subscribing to any tech-focused newsletters, like the MIT TechnologyReview. “All tech newsletters would write AI-focused content going forward anyway.” Even though ChatGPT etc.
As I dig in to recap what I saw and learned at the AI Engineer World’s Fair 2025 in San Francisco , I was forced to face my failure to write consistently – a failure that dates back almost exactly a year, to June 12, 2024. 2023-07-07 ChatGPT+ subscribers can prevent OpenAI from using their inputs as training data.
9:15 Jason Cohen: Building your Permanent Defensible Strategy Slides from Jason Cohen’s Talk A glass of water at room temperature has 7 septillion molecules Each molecule is moving at twice the speed of sound If aligned, the water would shoot off at that speed (like a watersaw) In tech support, most tickets are produced by small clients, but (..)
The evolution of tech tools: A five-year journey In 2020, Lenny conducted his first (informal) survey of technology tool preferences, gathering responses from hundreds of people on Twitter and LinkedIn. 90% of respondents use ChatGPT regularly. ChatGPT has a commanding lead The most striking shift since 2022 ?
ChatGPT is a well-executed version of a technology that Google started in 2017. link] How did ChatGPT add an extra sparkleattheendof2022? There are different chatbot technologies, and my current favourites are Anthropics Claude and Googles Gemini. As a user, I give ChatGPT 9/10 for its usability.
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