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Data Catalyst Prizm. Production-ready software, crafted by AI.

London, England
Joined November 2019
Photo by Data Catalyst (@datacatalyst_uk)Photo by Data Catalyst (@datacatalyst_uk)Photo by Data Catalyst (@datacatalyst_uk)Photo by Data Catalyst (@datacatalyst_uk)Photo by Data Catalyst (@datacatalyst_uk)Photo by Data Catalyst (@datacatalyst_uk)Photo by Data Catalyst (@datacatalyst_uk)Photo by Data Catalyst (@datacatalyst_uk)Photo by Data Catalyst (@datacatalyst_uk)Photo by Data Catalyst (@datacatalyst_uk)
Data Catalyst retweeted
Being a founder is waking up with a to-do list and realizing most of it won’t change the outcome. You check things off. You stay busy. But the only thing that really matters is whether your next move shifts the curve. Not the curve in your deck. The curve in reality. The one that separates what compounds from what disappears. You’re not managing the business. You’re managing the fallout if the bet doesn’t land. And the hardest part isn’t the risk. It’s not knowing whether the thing you’re pouring your time into is a multiplier or just a month you’ll never get back. The longer you do this, the more you realize the work isn’t in the building. It’s in choosing what to build next, knowing you might be wrong, and doing it anyway. That’s what separates the ones who last from the ones who don’t.
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Trying out some new ad ideas. All feedback welcome.
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Trying out some new ad ideas. All feedback welcome.
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Data Catalyst retweeted
I think that now we could identify 2 classes of roles: 1) Product Makers, prototyping quickly with the user in mind (augmented designer/product owner roles). 2) Product Engineering/Scaling, making sure that the products are suitable for production and can sustainably grow/scale
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If you are building what you claim is a "revolutionary agentic AI" or #AiFirst software development tool, and you aren't using that tool to build itself, you've got to stop and ask yourself if what you are building is truly revolutionary, or just another prompt-based FrontPage.
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i get the sense the people most bullish on vibe coding are people who have spent their careers talking to SWEs over 15-30min calls and haven’t quite grasped how many hundreds of daily decisions are hidden from them out of respect for time
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Data Catalyst retweeted
1/ I wrote an essay on what I think it'll take for Europe to build it's first trillion-dollar startup:
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One week left! AE Global Summit on Open Problems for AI (London, Oct 23-24): algopreneurship.org We have an extremely exciting 2-day line-up of the UK's leading AI researchers and entrepreneurs, as well as high-profile breakout rooms and networking sessions. On Algorithms Day (Oct 23rd), we have leading keynotes from @GoogleDeepMind, @ucl, @MSFTResearch, @imperialcollege & @VERSESAI Then a panel on "How to Fund AI Research?" featuring @KingsCollegeLon, @turinginst, @ARIA_research, Cambridge Consultants & @InstituteGC In the afternoon we have a panel on Technical Challenges for AI/ML Algorithms, with researchers from @UniofOxford, @GoogleDeepMind, @Cambridge_Uni, @AIatMeta & @xtxmarkets On Applications Day (Oct 24th), we’ll hear keynotes about "AI & The Future" (@OpenAI & @responsibleaiuk), "AI & Society" (Academy JAAQ., Akord AI, Boon) & "AI & Medicine" (@imperialcollege & @Basecamp_Res). Morning breakout rooms by @FLFDevNetwork, No 10 Downing Street Data Science Team, @InstituteGC, Zeki Data, @joinef, @OctopusVentures & @FT) A panel on AI & Education, featuring @RaspberryPi_org, Inversity, @memrise, @microbit_edu & @Cambridge_Uni A panel on AI & Medicine, featuring @KingsCollegeLon, @QMUL, @DecorteFuture & @redalpine And, most importantly, a final closing reception! Some ticket classes have sold out, others open. Come and join the fun! algopreneurship.org xitter.gq/RMBattleday/status/184…
AE Global Summit on Open Problems for AI (London, Oct 23-24): Final Line-up and Reduced Ticket Prices: algopreneurship.org It’s a pleasure to announce the final program for our upcoming Summit on Open Problems for AI in London. We have what might actually be the best 2-day line-up of UK experts in AI research and application I’ve ever seen! On Algorithms Day (Oct 23rd), we have leading keynotes from @GoogleDeepMind, @ucl, @MSFTResearch, @imperialcollege & @VERSESAI. - In the morning we have a panel on new types of institutions for AI research, featuring leaders from @KingsCollegeLon, @turinginst, @ARIA_research, Cambridge Consultants & @InstituteGC. - In the afternoon we have a panel on Current Challenges for AI/ML Algorithms, with researchers from @UniofOxford, @GoogleDeepMind, @Cambridge_Uni, @AIatMeta & @xtxmarkets. On Applications Day (Oct 24th), we’ll begin with keynotes from @OpenAI and @responsibleaiuk, and then hear from @Spotify, Academy, JAAQ., Akord AI, Boon io, @imperialcollege & @Basecamp_Res. - Breakout rooms by @FLFDevNetwork, No 10 Downing Street Data Science Team, @InstituteGC, Zeki Data, @joinef & @OctopusVentures. - Panel on AI & Education, featuring @RaspberryPi_org, Inversity, @memrise, @microbit_edu & @University of Cambridge Panel on AI & Medicine, featuring @KingsCollegeLon, @QMUL, @DecorteFuture & @redalpine. Come and join the debate! xitter.gq/RMBattleday/status/183…
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This webinar discusses what digital sustainability is, where we can find digital technologies doing good and what negative consequences we should be mindful of. Watch the full webinar now, here 👉 lttr.ai/AW7hE #webinar #digitalcarbon #DigitalCarbonFootprint
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Data Catalyst retweeted
If the Modern Data Stack is dead, what replaces it? The Postmodern Data Stack. Post-modernism is a broad movement that developed in the mid- to late 20th century across philosophy, the arts, architecture, and criticism which marked a departure from a belief in grand narratives & an acceptance of pluralism. This idea is taking hold in data. Two juggernauts, Snowflake & Databricks, are challenging the dominance of Google, Microsoft, & Amazon at the biggest scales of data. Many of these clouds embrace freer data movement including open formats like Iceberg, elimination of egress fees to lower the cost of data, & multiple engines to support different workloads. Just as in art & philosophy, post-modernism in data means embracing a new way of working with data. To delve into this topic, I’ve invited three founders to talk through the implications : Colin Zima, founder & CEO of Omni which combines the freedom & control of previous generations of BI. Jordan Tigani, founder & CEO of MotherDuck, a query engine that works as an embedded database, local & cloud based data warehouse, & data pipelines. Tyson Mao, founder & CEO of Tobiko Data which commercializes SQLMesh, & enables workloads to move across query engines simply. We will discuss the Postmodern Data Stack at TC Disrupt in October. If you have questions you’d like me to ask on stage, please reply to this thread or send me a message on Twitter & I’ll weave them into the conversation. tomtunguz.com/the-postmodern…
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Data Catalyst retweeted
From an investor update: "We’ve delivered 2 agents so far to [the customer] and cut down a workflow that was taking them 27 days into an agent that runs in 1.5 hours from just one click." AI productivity gains are insane.
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Shh. Nothing to see here... smartesg.datacatalyst.io
We're still in #stealth mode on this project, so, please, keep it quiet. Don't share this. Don't tell anyone. And if you're the #founder or #manager of an #sme, definitely don't come to lnkd.in/edzgt64u, and join the waitlist for our BETA, and get…lnkd.in/eJ5u579n
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By harnessing #OpenData, we can improve the environment, healthcare, the economy and more. Read more: msft.it/6016nR9Zy
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We'll be hosting a webinar at @london_climate tomorrow to get insights from real users of the Open Energy service currently in development. Register for free here 👉bit.ly/3uTYd25
Data Catalyst retweeted
1/9 Covid-19 has shown us the benefits of #datasharing, but lack of trust in how #data is shared, and difficulty in designing and sustaining #dataaccess initiatives, can be a barrier to sharing. We’ve been exploring these challenges in our @InnovateUK funded R&D programme...
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How can we fill ESG data holes? Our policy and regulatory, Jannah Patchay, takes a look: bit.ly/3rYZkNm
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Data Catalyst retweeted
Our new strategy to 2030 focuses on 3 innovation missions: giving every child a fairer start, helping people to live healthier lives, and building a more sustainable future: bit.ly/3uJZB8i #NestaStrategy 1/4
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Data discoverability is key to the success of the Open Energy project. As @agentGav explained at our Open Energy webinar, "we need to up our game on publishing open data about metadata to facilitate the journey so that users can find the data that they need."
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Data Catalyst retweeted
We recently released a new set of selected readings on #Data Portability. View the full list here: medium.com/data-stewards-net…
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Data Catalyst retweeted
Really enjoyed presenting (+ speed mentoring) this morning @DigiCatapult/@XLR8Ruk's #Cyber101 Bootcamp! Great talking to @nqminds, @datacatalyst_uk, @CerberusLabs, @KeylessTech, @beringarltd @razorsecure, #elocker & @DocuchainL Be sure to check them out #IoT #CyberSecurity
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