Carlos Aguilar, the founder and CEO of Glean, a data exploration and visualization platform, knows a thing or two about starting and growing a tech startup. After recently raising a $7 million seed round, he sits down with Jon Krohn to dive into the makings of his platform and shares tips for building a great founding team and how to delight early adopters.

In this episode you will learn:
• How Glean extracts actionable insights from their client's data warehouses [06:48]
• What sets Glean apart from other platforms [12:43]
• Glean's software stack [14:43]
• Glean's recent fundraising journey [24:56]
• The essential characteristics of a founding team [30:53]
• How Carlos founded Glean [36:56]
• Carlos's former role at Flatiron Health [40:49]
• How Carlos created a robotic painter [48:57]

Additional materials: www.superdatascience.com/653

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

The Super Data Science Podcast: Machine Learning | AI | Success

653: Efficiently Glean-ing Insights from Vast Data Warehouses

According to a report by Zion Market Research, the global web data extraction services market size was valued at $5.5 billion in 2020 and is predicted to rise at a CAGR of 20.6% from 2021 to 2028. This growth is compelled by the growing usage of data extraction services across every industry vertical. Outsourcing these services is necessary for businesses today as they can access the expertise and technology they need for beneficial results. Data extraction will continue to be a critical mechanism for businesses in 2023 and beyond. Uniquesdata is a leading data extraction company providing comprehensive, customized, and cost-effective web data extraction services to a global clientele.

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Welcome, AI enthusiasts! It’s October eighteenth, twenty twenty-four, and we're excited to bring you the latest news from the world of Artificial Intelligence. Grab a coffee and let's dive into today's highlights.

newton A-I learns physics from scratch.  
Archetype A-I has just introduced a groundbreaking model called "Newton." Unlike its predecessors, Newton learns complex physics concepts solely from raw sensor data, without any human guidance. This paradigm shift allows it to predict behaviors in systems it has never been explicitly trained on, opening the door for more autonomous learning in A-I. The company, founded by ex-Google researchers, has attracted funding of thirteen million dollars to date.

notebooklm launches business pilot.  
Google's popular A-I note-taking tool, NotebookLM, is now evolving with new features including customizable audio summaries and a business version aimed at organizations. This pilot program promises enhanced collaboration tools and higher usage limits, reflecting the tool's growing popularity and functionality following its recent success.

automate web data extraction with zapier.  
For those of you looking to up your data game, Zapier has launched a Chrome extension that automates web data extraction. By creating an A-I assistant within the extension, users can efficiently extract key information from websites to streamline their data collection and analysis tasks. It’s a great way to save time and boost productivity!

worldcoin unveils next-gen eye scanner.  
In a significant update, Worldcoin—co-founded by OpenAI's Sam Altman—has rebranded itself and released an upgraded iris-scanning device. The new Orb boasts five times the performance of its predecessor and introduces a protocol aimed at combating deepfakes while ensuring user privacy. The company’s journey hasn't been smooth, previously facing regulatory challenges, but it appears to be progressing toward its ambitious goals.

new tools & job opportunities.  
Before we wrap up, let’s take a quick look at some exciting new A-I tools and job opportunities cropping up in the field. From Feta, a platform to facilitate seamless team meetings, to Kick, an A-I-driven accounting tool, the innovation is endless! There are also big companies like Meta and Shield A-I hiring for various roles, offering great chances for those looking to break into the A-I industry.

That’s a wrap for today! Stay tuned, keep learning, and don’t forget to join us for more updates on the world of Artificial Intelligence!

Groundbreaking Innovations: Newton A-I Learns Physics Autonomously, NotebookLM Enhances Business Features, and Worldcoin Upgrades Iris Scanner

Hello everyone! Welcome back to AI Tech News Today! It’s December Twentieth, Twenty Twenty-Four, and we have some intriguing updates from the world of Artificial Intelligence. Let’s dive right in!

Writer takes on AI’s big problem: sameness. A startup named Writer has announced a breakthrough model aimed at enhancing the creativity of generative AI. Traditional A-I can produce content that feels robotic, often resulting in repetitive outputs. Writer’s new model tweaks how the AI interprets context to introduce more variety and authenticity in its content. This innovation could help brands create diverse advertising campaigns and aid marketers in overcoming creative blocks. In the ever-evolving landscape of generative A-I, this focus on creativity might just set the new industry standard.

MIT grows chips to meet A-I’s demand. Engineers at the Massachusetts Institute of Technology have developed innovative vertical chips, which stack processing components in three dimensions. This design allows for more computational power in a smaller space, efficiently addressing the data processing demands of A-I. Unlike traditional horizontal chips that can overheat, these high-rise chips promise faster processing of massive amounts of data while minimizing energy use. If these chips can be produced on a larger scale, we might see a significant impact on various industries, including cloud computing and mobile devices.

Scrape just about anything with A-I. Meet FetchFox, a powerful new web scraper that dramatically cuts the time needed for data extraction. Previously, gathering data from websites could take hours; now, with FetchFox, it can happen in seconds. Just describe the data you need in plain English, and this A-I-powered tool gets to work. Whether you’re building a lead list or conducting market research, this tool requires no coding skills and is available as a web app and a Chrome extension. 

YouTube fights AI celeb clones. As deepfake technology grows, it poses challenges for content creators on YouTube. The platform has formed a partnership with Creative Artists Agency to tackle unauthorized AI-generated videos. YouTube is implementing algorithms to detect these deepfakes by comparing them to verified images of the celebrities, enabling them to quickly remove misleading content. This development highlights the importance of ethical safeguards in A-I technology amidst the growing concerns around misinformation.

That’s all for today’s edition! Remember to stay informed about the fascinating developments in A-I technology. We’ve got a lot more to discuss in the New Year. Happy holidays, and see you in Twenty Twenty-Five!

Innovative AI Tools and Ethical Safeguards Shape the Future of Technology in December 2024

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

New tracks tagged #data extraction