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Arize AI aims to bring ML observability to Google Cloud Marketplace


Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Gaining visibility into how a machine learning (ML) model is working is a critical aspect of ensuring the performance and success of artificial intelligence (AI) efforts within any organization. Founded in 2020, Arize AI aimes to provide ML observability. Its platform provides insight into common issues such as bias, data integrity and data drift -- all of which can potentially lead to incorrect predictions.

Regie secures $10M to generate marketing copy using AI

#artificialintelligence, a startup using OpenAI's GPT-3 text-generating system to create sales and marketing content for brands, today announced that it raised $10 million in Series A funding led by Scale Venture Partners with participation from Foundation Capital, South Park Commons, Day One Ventures and prominent angel investors. The fresh investment comes as VCs see a growing opportunity in AI-powered, copy-generating adtech companies, whose tech promise to save time while potentially increasing personalization. Previously a software engineer at Google and Meta, Sridhar is a data scientist by trade, having developed enterprise-scale AI systems that detect duplicate images and rank search results. Millen formerly was a VP at T-Mobile, leading the national sales teams (e.g., strategic accounts and public sector). With Regie, Sridhar says he and Millen aimed to create a way for companies to communicate with their customers via channels like email, social media, text, podcasts, online advertising and more.

Kumo aims to bring predictive AI to the enterprise with $18M in fresh capital


Kumo, a startup offering an AI-powered platform to tackle predictive problems in business, today announced that it raised $18 million in a Series B round led by Sequoia, with participation from A Capital, SV Angel and several angel investors. Co-founder and CEO Vanja Josifovski says the new funding will be put toward Kumo's hiring efforts and R&D across the startup's platform and services, which include data prep, data analytics and model management. Kumo's platform works specifically with graph neural networks, a class of AI system for processing data that can be represented as a series of graphs. Graphs in this context refer to mathematical constructs made up of vertices (also called nodes) that are connected by edges (or lines). Graphs can be used to model relations and processes in social, IT and even biological systems.



In late June 2022, Sanas, a Silicon Valley startup, raised $32 million in Series A funding. Sanas is a real-time accent translation technology. For years, call centers in India or the Philippines have worked to neutralize accents by training their employees before they get to answering the phones. This new AI obviates that training – it alters accents in real time, making employees sound more American. From Sanas' perspective, they are working for the good of all concerned. The communication barriers between people with different accents and across multiple continents have lifted.

Voxel51 lands funds for its platform to manage unstructured data


Voxel51, a startup developing a platform to analyze unstructured data, such as images and videos, has raised $12.5 million in a Series A round led by Drive Capital, with participation from Top Harvest, Shasta Ventures, eLab Ventures and ID Ventures. Founder and CEO Jason Corso tells TechCrunch that the new capital will be put toward further developing the company's platform and doubling the size of Voxel51's team from 13 to 26 employees by year-end. Corso says he, alongside machine learning PhD Brian Moore, created Voxel51 to harness the growing flood of unstructured data in AI and machine learning. A professor at the University of Michigan, Corso says he saw a "critical need" for better software infrastructure to support machine learning engineers and data scientists in visualizing, analyzing and understanding their data. "Leveraging unstructured and visual data is a significant challenge. Although we've seen recent wins in the transition of capabilities from the lab to production, such as those in ADAS, there remains a difficulty in bringing computer vision capabilities into production," Corso told TechCrunch in an email interview.

#FinTech Twitter NodeXL SNA Map and Report for Saturday, 24 Sep 22 #SEOhashtag


The graph represents a network of 7,262 Twitter users whose recent tweets contained "#FinTech", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 24 September 2022 at 06:58 UTC. The tweets in the network were tweeted over the 1-day, 18-hour, 0-minute period from Thursday, 22 September 2022 at 10:58 UTC to Saturday, 24 September 2022 at 04:59 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

eClerx Roboworx Wins the Best Proposition for AI, Machine Learning Award


The A-Team Group presented the award on Sept. 22nd at the 12th Annual Data Management Summit in New York. The A-Team Group recognizes leading data management solutions, services, and consultancy providers to the capital markets. The A-Team's editorial team and Advisory Board determine the winners by considering the depth of involvement in the capital markets, the relevance of a solution or service to a selected award category, and the potential interest of a solution or service to the Data Management Insight community. "At eClerx, we are excited that Robowork has won the Data Management Insight Awards 2022," said eClerx Global Head of Technology Sanjay Kukreja. "Roboworx is our leading RPA and Intelligent Automation platform and has been adopted by a number of our clients to deliver intelligent automation in their processes. It is an award-winning platform that has won a number of accolades across the globe for its use cases and adoption."

Machine Learning Research Scientist (Deep Learning) - Remote Tech Jobs


We are seeking an ambitious Machine Learning Research Scientist to join a well-funded ($70M Series B) AI biotech start-up. We are revolutionizing the capabilities of AI in the healthcare process, especially in the area of clinical trials. Not only are we able to reduce the number of patient volunteers needed for clinical trials, but our technology is also getting medicine to patients faster and at a much lower cost. Within this role, you will be working alongside a team of innovative, world-class scientists who promote an atmosphere of thinking outside the box and bringing new materials to the table. Your ability to conduct strong primary research and excel in an applied environment by breaking down problems and understanding the challenges of data is critical to the role.

Improving accuracy of computer vision models, Voxel51 raises $12.5M


Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Computer vision AI models rely on having properly labeled data in order to infer the correct object. The challenge of helping to verify that data used for a model is accurate is one that Ann Arbor, Michigan-based startup Voxel51 is aiming to solve with open-source tools and a commercial service called FiftyOne Teams. Ann Arbor is home to the University of Michigan, which is where Voxel51 cofounder and CEO Jason Corso works as a professor, and where he got the idea to build the new company.

Meet Agility Robotics' Digit bipedal at RoboBusiness


Historically, bipedal robots have been reserved for research labs. Agility Robotics is starting to change that tune with Digit, a bipedal robot first commercialized in early 2020. The company recently closed a $150 million Series B round to help scale its operation. Agility is targeting real-world applications such as moving totes and packages and unloading trailers at warehouses. During RoboBusiness, which runs Oct. 19-20 in Santa Clara, Calif., Agility Robotics co-founders Jonathan Hurst and Damion Shelton will discuss how they're developing Digit to perform useful tasks.