AI developers have been steadily segmenting the booming financial services technology sector with new tools aimed at automating business processes. Among the latest examples are fintech startups applying AI to the drafting and analysis of business contracts, a software service known as contract lifecycle management (CLM). A recent entry, Toronto-based Arteria AI Inc., announced an ...Full article
Geoff Tate, CEO and cofounder of Flex Logix Technologies, told us several years back that edge AI inferencing would be the embedded FPGA vendor’s biggest market through about 2023. Among the reasons was the crying need for an affordable inference engine that could also handle a range of applications as data processing and storage shifts ...Full article
California continues to prepare for another round of wildfires by deploying AI-based early-warning systems designed to spot outbreaks before they become infernos. Sonoma County is the latest to adopt AI technology in the Golden State’s ongoing efforts to monitor and prevent the spread of deadly wildfires that have previously scorched entire towns. County officials announced ...Full article
The uneven application of AI technology within the healthcare sector appears to be smoothing out as investors increasingly target analytics and AI-based systems for applications like coordinated patient care. Those applications could soon join established AI-based use cases such as medical imaging as market drivers, analysts say. A pair of funding announcements this week underscore ...Full article
Torch.AI, the profitable startup applying machine learning to analyze data “in-flight” via its proprietary synaptic mesh technology, announced its first funding round along with expansion plans. The Series A round garnered $30 million, and was led by San Francisco-based WestCap Group. As its customer base expands, Torch.AI said Wednesday (March 17) it would use the ...Full article
The combination of AI and no-code software development platforms are accelerating efforts to scale enterprise applications, including data collection, modeling and analysis. Those are among the goals of Noogata, a no-code AI startup targeting enterprise data analytics tools that can be built by non-programmers. The two-year-old startup based in Tel Aviv, Israel, announced a $12 ...Full article
Among the latest iterations of AI software is a category dubbed FlowOps, or Flow Operations, designed to reduce waste in manufacturing while helping to unclog vulnerable supply chains. FlowOps allows manufacturers and other operators to manage workflows from production and inventory management to gauging product demand and maintaining quality control. The latest FlowOps platform, unveiled ...Full article
A wide range of new third-generation AMD Epyc “Milan” CPUs were unveiled March 15 (Monday) by the chipmaker, from a flagship 64-core model to 8-core versions built for a myriad of server workloads. For AI users, the big news is that the latest generation of AMD server chips show promise in improving performance for many ...Full article
If you’re finding it harder to get access to GPUs in the cloud to train your AI models lately, you’re not alone. The combination of a global chip shortage and increased demand for AI model training is apparently leading to longer wait times for some cloud GPU users. Nvidia, which makes most of the GPUs ...Full article
One of the world’s largest car makers is mapping out an AI strategy that extends beyond autonomous vehicles to include industrial robots critical to manufacturing as well as automation infrastructure efforts related to smart cities. Toyota AI Ventures, which launched in 2017, is now looking to fund innovative startups working on AI-based systems ranging from ...Full article
Intel Corp. and deep learning startup Deci are partnering to help enterprises dramatically optimize inferencing and make their deep learning models more efficient and faster using Intel CPUs. The collaboration, which brings together Deci’s algorithmic acceleration technology with Intel chip architectures, aims to make it possible for enterprises to accelerate inferencing speeds by up to ...Full article
Nvidia and VMware are bringing together the new Nvidia AI Enterprise software tool suite with VMware’s latest vSphere 7 Update 2 virtualization platform to make it easier for enterprises to virtualize their expanding AI workloads. Nvidia’s (NASDAQ: NVDA) new suite of AI tools and frameworks, which was announced March 9 (Tuesday), is built to run ...Full article
In this monthly feature we bring you up to date on the latest career developments in the enterprise AI community -- promotions, new hires and accolades: Chantelle Breithaupt Aspen Technology, a provider of asset optimization software solutions, named Chantelle Breithaupt as its senior vice president and chief financial officer. Breithaupt previously served as VP ...Full article
Seeking ways to boost vaccinations against COVID-19, IBM and vaccine developer Moderna will leverage AI, hybrid cloud and other technologies to address nagging supply chain and distribution challenges. The partners said this week they would develop open and standard approaches to “improve supply chain visibility” with the goal of achieving a real-time capability for tracking ...Full article
Despite major disruptions from the ongoing COVID-19 pandemic, global investment in AI technologies grew by 40 percent in 2020 to $67.9 billion, up from $48.8 billion in 2019, as AI research and use continues to boom across broad segments of bioscience, healthcare, manufacturing and more. The figures, compiled as part of Stanford University’s Artificlal Intelligence ...Full article
As Microsoft continues to develop and bolster its growing collection of semantic search tools and features, the company is expanding their reach into new product lines to deliver cutting edge capabilities to a broader range of customers. This week Azure Cloud is the latest Microsoft platform to get semantic search capabilities, as the company unveiled ...Full article
The integration of AI with robotics applications continues to attract tech investors who presumably sense that machine learning tools can help transform static industrial robots into agile assemblers of different products in varying volumes. The latest example is a collaboration between automated manufacturing giant Fuji America Corp. and Motus Ventures, an early stage investor and ...Full article
When COVID-19 clobbered all of humanity in early 2020, the resulting government lockdowns in countries and communities across the world negatively impacted entire industries and turned people's lives and whole economies upside down. For many, a full recovery may still be months or years away. But for some large industrial operations, such as oil refining ...Full article
The modern factory floor is increasingly automated, but manufacturers are looking for ways to make industrial robots more flexible. Symbio Robotics, a Bay Area startup, is aiming to solve those problems using its new AI-based platform that allows robots to learn, adapt and execute new assembly tasks. The company emerged last week, announcing partnerships with ...Full article
“Data scientist” has been one of the most in-demand job titles of the past decade. But in another 10 years, that role will look very different, thanks to technologies such as automated machine learning, or AutoML. New technologies are already helping to reduce the need for organizations to build AI and ML models from scratch ...Full article
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Alex WoodieEditorial Director
Jaime HamptonManaging Editor
Ali AzharContributing Editor
Drew JollyContributing Editor
