Johnna Powell

Look forward to speaking at the Enterprise Generative AI Summit this week along side esteemed panelists Dr. Yvonne Lutsch and Mike Shirazi on the importance of data relevancy and data privacy considerations in next wave of LLM investments. #dataprivacy #GenAI #LLM https://lnkd.in/efj2egAG

82

What I appreciate most about how we designed the SMArtX Advisory Solutions platform is that we provide software to Turnkey Asset Management Programs as a FinTech, but we prove out every piece of our technology platform by using it to run a TAMP and servicing advisors ourselves. In tech this is called "Eating your own dogfood" or simply "dogfooding". Wikipedia says: "Eating your own dog food or "dogfooding" is the practice of using one's own products or services. Hence dogfooding can act as quality control, and eventually a kind of testimonial advertising. Once in the market, dogfooding can demonstrate developers' confidence in their own products." No matter how you cut it, whether we are servicing them directly or through our enterprise clients; the end consumer is the advisor. And servicing them through an "out-of-the-box" TAMP gives us the unique opportunity to hear the clients needs directly and hone our product and make it a better experience for everyone using it. So let's be both a TAMP and a FinTech while we sing along with Dierks Bentley and agree that SMArtX is "little bit of holy water, but still a little bit burning man"

11

Please enjoy the recent podcast I hosted with Haytham Allos on due diligence strategies for AI enabled proprietary applications. We are seeing more due diligence engagements with AI enabled tech platforms as the key value driver of the transaction. We dive into the key areas a mature AI enabled platform must have and key considerations related to these areas as a buyer. Please reach out to me if you are looking at these types of transactions so I can share some of the insights we’ve gained firsthand and the approaches we’ve taken to address the areas Haytham highlights in our podcast.

15

Can crypto unlock a new era of data control and… can consumers finally be fairly paid for their data? Next on #DiffuseTap, we ask Andrew Chen, Co-Founder of Graffle, about owning data versus using free data from the internet, how data provenance would change if all data was on-chain, and how regulators are addressing key risk factors in data management. When: Wed May 29, 2024 @ 10AM CST Where: Zoom! Please register in advance to reserve your spot. Bring a friend! We’d love to include them.DiffuseTap is for Alternative Investors. Join us if you invest in alternative assets independently, as a GP, or an LP. #dataownership #dataeconomy #datamonetization #decentralizeddata #cryptodata

3

I just published a new post "Innovating with conviction: lessons from Marc Pincus (Zynga founder)" https://lnkd.in/epTFRxWD We learn an important innovation framework from Marc, including: - The goal of innovation: getting to true signal - Develop your core idea thesis, and create multiple idea variants. Keep your idea variants separate from your idea thesis. - Cycle through your idea variants quickly to take the maximum number of shots on goal - Get to minimum viable idea state, not even minimum viable product, to test your idea variant Lots of practical innovation guidance from Marc Pincus, I've learned a lot and I'm immediately putting his framework into practice. I encourage anyone working on 0 -> 1 projects to do the same!

16

1 Comment

Good morning New York! 3 weeks until Metal takes the stage for #NYTechWeek 🤘 If you're in PE or VC, register below to learn how you can accelerate diligence, portfolio monitoring, and reporting with applied AI https://lu.ma/9qlk7l3e

35

3 Comments

Science-fiction is inherently speculative. Author George #Orwell of ‘#1984’ predicted concepts such as doublethink, little earbuds and society’s obsession with the black mirror screens that dominate our lives — and according to the BBC, novelist and short story author JG Ballard, of “High-Rise” and “Crash” fame, has predicted the current tool and cultural fixation of #GenerativeAI in the modern society — only he didn’t just speculate them within a story, he is actually one of the first use-cases of a generative AI used in a creative context — Ballard was so fascinated with the growing technological advancement of computers that he used one to compose poems, essentially the precursor to what we have now with ChatGPT. Today, the debate about the creative use of generative AI and its value on creative industries is an extremely fraught and controversial topic, but if controlled in a space that doesn’t replace human labor or try to equate itself to traditional art forms, it is interesting to see what computers can do and how they are creatively limited in comparison. Ballard’s two poems, The Yellow Back Novels and Machine Gun City are generated, and both include notes on how Ballard achieved producing them. Regardless of quality (Ballard himself probably wouldn’t describe these two poems as his best work), it is interesting to see primitive versions of the technology that we utilize on the daily today, and how these moral conversations that concern them would continuously evolve.

1

1 Comment

The New York ecosystem for dual-use technology is small but strong and growing rapidly. Thanks to companies like Decisive Point and @a16z who continue to support the community with networking events for founders, investors, and community members. More and more founders are recognizing the value in partnering with the DOD as a strong way to support the country's national security interests while hopefully decreasing the tax burden on citizens regarding government spend as commercially available technology becomes more available and affordable for government organizations. Not only this, but the DOD serves as a great test bed and sandbox for emerging technologies and talent. #dualuse #emergingtech #defensetech #Kilsar

91

4 Comments

Every day I get more excited about Reality Defender! Deep Fake detection is THE emerging battleground in cyber. Check out this great interview with cofounder/CEO Ben Colman.

37

4 Comments

Happy to share that Forbes has just published yet another interesting piece on asset tokenization: "Picasso For All: Democratizing Blue-Chip Investments”. I had the pleasure of commenting on the still-existing barriers to further realisation of the vast potential of tokenization - regulatory issues probably still being the number one challenge.  This underscores the value of The Tokenizer’s regulatory AI service, The Token RegRadar. We remain committed to providing clarity and guidance in the complex realm of asset tokenization, helping to navigate the intricate web of international and local regulations. For those interested in the full article and the insights on how tokenization is reshaping the financial landscape, I encourage you to read the piece on Forbes. Thank you, Roomy Khan, for a great article! Please visit: https://lnkd.in/djyJHzzk If you'd like to learn more about the Token RegRadar, reach out or visit: https://lnkd.in/dTB-MnvP #AssetTokenization #Blockchain #RegulatoryClarity #DigitalAssets #TokenRegRadar #TheTokenizer #AssetManagement

40

6 Comments

I couldn't agree less with this article. In my view, AI will change the world as much as, if not more than the internet did...which is a lot. '60s computer scientist Roy Amara said it best: “we overestimate the impact of technology in the short-term and underestimate the effect in the long run.” Both Altman and the author are falling victim to this blind spot, but to me, it seems far more dangerous to underestimate the impact and get blindsided by the change than it is to be slightly overzealous on estimating the rate of change. #AI #ArtificialIntelligence #Technology #Innovation #cdntech [Read more](https://lnkd.in/gJWwyFZR)

8

Great talking to Silvia Saccardi about all things Gen AI!

4

Dynamic conversations at today's expo on AI - "AI Expo for National Competitiveness" - Day 1 - lots of important conversations about responsible innovation, architecture, and policy implications. I was not sure who would also be there, but was delighted to spend time with AI policy visionaries Carole House and Elham Tabassi, as well as to run in to friends old an new including Marija Spaić White, tech guru Theo Ogbebor, cyber security and AI expert Andrew G., Raphael Socher, Luc Hale, and AI coder/entrepreneur Stevens Cadet, and more. Sharing my key take-aways on today's panel on AI and national security moderated by Andrew Ross Sorkin: -- Next 10-15 years key key: General Mark A. Milley: noted that US needs to innovate to keep competitiveness in a global economy as well as national security standing; the next 10-15 years are crucial and countries are in a "footrace right now" on AI; importance of understanding the operational environment; shift to urban centers and implications on global conflict; race of nations to innovate in AI space; --Framework of AI: On question of open source verses closed source AI: Eric Schmidt noted how fast open source is working; that we don’t know where this ends up, and that opponents get open source at the same time, but if you are the architect you stay ahead, and the strategy is how far the open source can keep pushing forward. -- Importance of Manufacture/Supply Chain: Palantir Technologies CEO Alex Carp spoke about how it is crucial to have the amount of hardware we need;  to organize manufacturing and supply chain in a way that works, to have a zone where software can work. Overall, lots of great conversations and looking forward to collaboration across industries on day 2 of the AI expo.

10

2 Comments

I like this idea of "technical taste". It gets into where software engineering is as much creative art as it is science. Four great takeaways (IMHO) for software devs in this era in particular: 1. Aspiring engineers should cultivate a sense of curiosity, experiment with different tools and technologies, and embrace a mindset of continuous learning. 2. AI has the potential to streamline processes and enhance productivity for engineers, but it may also lead to disruptions in traditional software development workflows. 3. Developing technical taste and judgment is essential for making informed decisions about which technologies and approaches to pursue. 4. Collaboration and open-mindedness are key to leveraging the full potential of AI and staying ahead of technological advancements. I also really liked these two quotes from Sam Schillace: 1. "The right time to do something is when you have that feeling in the pit of your stomach that's like, 'oh, this is a great idea and it's going to suck to build because nothing's ready yet.'" 2. "Technical taste is like, 'how well have you consolidated that set of experiences and heuristics into judgment that you can apply accurately when you see new things?'" 3. "It may be the case that very small teams can do very large projects, or like we were talking about before, it may be the case we're just going to get really ambitious about what we try to do with the same size of teams, which is kind of where I would put my money." Great job on continuing to put out great episodes, Brett Berson and team First Round Capital! #ai #engineering #softwaredevelopment

5

By my count there are at least 10 $100M+ revenue businesses doing some form of data 'cleaning' at scale. Come listen to Sinan Ozdemir and Curtis Northcutt and I chat about the future of data curation!

38

1 Comment

Tons of great points in this pod - one in particular sticks out to me: Beyond just improving employee productivity (improving the input), **AI enables software that delivers the work product output (delivering the outcome).** So, software companies can now look like a services business in terms of what they deliver for a buyer. #AI #b2b #SaaS

3