#decisionmaking #tech #podcastshorts #ai #artificialintelligence Statistician and AI advisor Cassie Kozyrkov, who counsels Fortune 100 companies and authors the popular Decision Intelligence newsletter, joins journalist Molly Wood to explore how generative AI is reshaping decision-making. With AI capable of producing infinite “good-ish” options, Cassie explains why more choice can lead to confusion—and how decision intelligence helps us navigate complexity with clarity. A must-watch for business leaders, da ...

[ Music ] MOLLY WOOD: Welcome to WorkLab, the podcast from Microsoft. I'm your host, Molly Wood. On WorkLab, we hear from experts about the future of work, from how to use AI effectively to what it will take to stay ahead in business.CASSIE KOZYRKOV: What we've been measuring this entire time is the most repetitive, the most digitized, and the least creative aspects of work. That's what we know how to measure, because they're easy to measure. How do you define creativity so you can measure it.That's hard. M ...

Core Insights - The article discusses the emerging niche of artificial intelligence analytics, highlighting BigBear.ai (BBAI) and Veritone (VERI) as notable small-cap players in this sector [1][2]. Company Overview - BigBear.ai focuses on "decision intelligence" for government and defense clients, specializing in mission-critical AI applications for national security and defense [2]. - Veritone provides an enterprise AI platform (aiWARE) targeting media, public sector, and commercial markets, with a suite of audio/video data analytics tools [2]. Market Position and Strategy - BigBear.ai has a backlog of $385 million as of March 31, 2025, with significant government contracts, including a $165 million contract from the U.S. Army [4][8]. - Veritone has shifted its focus solely to AI software, achieving an Annual Recurring Revenue (ARR) of $58.7 million, with 81% from subscriptions [9][10]. Financial Performance - BigBear.ai eliminated $57.7 million of long-term debt and raised $64.7 million in gross proceeds, strengthening its balance sheet [6][8]. - Veritone's revenue declined by 7% year-over-year to $22.5 million, but it has a higher gross margin of 61.1%, significantly above BigBear.ai's 21.3% [9][10]. Growth Prospects - BigBear.ai is positioned for growth in defense AI, leveraging its backlog and government contracts [4][8]. - Veritone's growth strategy includes vertical-specific AI solutions and expanding into government applications, indicating a competitive edge in software sales [10][12]. Stock Performance - BigBear.ai's stock has increased by nearly 382% over the past year, while Veritone's shares have recently rebounded, rising 111.1% in the past month [14][15]. - Over the past three months, BigBear.ai shares rose by 153.3%, outperforming the broader market, while Veritone gained 25.9% [15]. Valuation Comparison - BigBear.ai trades at a forward Price-to-Sales (P/S) ratio of 12.02, significantly higher than Veritone's 1.13, indicating a premium valuation for BigBear.ai [18][19]. - Veritone's expected revenue growth of 18% in 2025 and narrowing losses suggest a more attractive valuation and clearer path to profitability [19][26].

Core Insights - Quantexa has appointed Steven Guggenheimer and Franck Petitgas to its Advisory Board to enhance its global presence and innovation in Decision Intelligence [1][2] - The company recently completed a $175 million Series F funding round and has a growing customer base that includes leading banks, insurers, and government agencies [2][7] Company Strategy - The appointments aim to support Quantexa's vision of AI-powered enterprise transformation and to assist nations in achieving AI sovereignty [2][4] - Guggenheimer's experience in enterprise technology and AI will be crucial for expanding Quantexa's platform and accelerating growth in key markets [3][5] - Petitgas brings extensive financial and regulatory insights, which will aid in Quantexa's engagement with global clients and strategic partners [4][5] Product and Performance - Quantexa's Decision Intelligence Platform enhances operational performance with over 90% more accuracy and 60 times faster analytical model resolution compared to traditional methods [7] - An independent Forrester TEI study reported that customers experienced a three-year ROI of 228% from using Quantexa's platform [7] - The company, founded in 2016, has grown to over 800 employees and serves thousands of users, managing billions of transactions and data points globally [7]

Core Insights - Quantexa has been recognized as a Luminary in Everest Group's Innovation Watch report for its innovative use of generative AI in financial crime and compliance [1][3][5] - The company's Q Assist, a context-aware Agentic AI capability, enhances decision-making by providing instant access to connected insights and revealing hidden relationships in complex datasets [2][5][6] Company Developments - Q Assist has transitioned from pilot to production since its launch in 2024, demonstrating measurable impact in areas such as third-party investigations and real-time risk assessments [2][5] - Quantexa recently completed a $175 million Series F funding round, valuing the company at $2.6 billion, which will support its global growth and platform innovation [5] Industry Position - Quantexa's leadership in leveraging advanced AI technologies addresses the increasing complexity of financial crime compliance, with generative AI promising to automate labor-intensive tasks and detect anomalies in near real-time [3][4] - The Everest Group report indicates that 75% of providers are forming robust partnerships, with Quantexa leading through collaborations with major firms like Microsoft and Google [4] Performance Metrics - Quantexa's Decision Intelligence Platform offers over 90% more accuracy and 60 times faster analytical model resolution compared to traditional methods [8] - An independent Forrester TEI study reported that customers experienced a three-year ROI of 228% from using Quantexa's platform [8]

We often hear about AI innovation, but rarely what's possible to build with the technology in a business setting. So today, we're going to talk with the CEO and founder of a company called Snowfire AI that's built what he calls a brain for your business. And I'm joined today in studio by that man, Greg Anugoo is here. Greg, great to see you. Welcome to the channel, Alex. Thank you for having me today. Thank you for being here. And I should note that this video is being sponsored by Snowfire AI. So appreciat ...

Core Insights - MathCo® has announced an expanded collaboration with Snowflake to enhance AI-driven innovation and help clients maximize the value of their data [1][2] - The partnership includes the launch of a dedicated MathCo Center of Excellence (CoE) for Snowflake, aimed at assisting Fortune 500 and Global 2000 organizations in scaling their AI and ML initiatives [2][3] - MathCo's proprietary decision intelligence platform, NucliOS, will play a key role in this collaboration, focusing on improving data management and decision-making processes [3][4] Company Initiatives - The MathCo Center of Excellence will focus on building solutions that drive critical business decisions and tangible outcomes using Snowflake's platform [2] - MathCo aims to enhance its Snowflake-certified workforce through training and enablement programs, leveraging its in-house L&D university, Coach [5] - The collaboration is expected to create a dependable ecosystem that connects various data sources and tools, promoting executive-level transparency and strategic decision-making [4] Event Participation - MathCo is a sponsor at the Snowflake Summit 2025, showcasing its solutions and offering live demonstrations of NucliOS [6]

Core Insights - Cogility has announced the availability of its decision intelligence software, Cogynt, in the AWS Marketplace, enhancing accessibility for users [1][2][4] Company Overview - Cogility specializes in Expert AI-powered decision intelligence software, aimed at providing augmented decision support for both government and commercial organizations [5] - The Cogynt platform is designed to help organizations manage complex intelligence challenges with predictive and explainable insights, enabling proactive decision-making [5] Product Features - Cogynt offers expert AI no-code modeling to identify complex behavioral profiles and assess risk over time [6] - The platform processes both structured and unstructured data in near real-time, producing actionable and auditable insights [6] - It includes integrated case management for prioritizing workloads and collaboration on assessments [6] - An integrated business intelligence suite is available to visualize key performance indicators and risks [6]