Category: Artificial Intelligence

Feed: Blue Medora. Author: Nate Coppinger. This is part one of a three-part blog series on Log Management for Google Stackdriver with BindPlane Proper Log Management Whether you’re a multi-billion-dollar tech firm or a small startup, sorting your data in a usable and logical manner can prove to be a major challenge. No matter the size of your company, you are going to have individuals within your organization that only need access to specific data and information. Providing them with anything extra ends up slowing down workflows and creates digital clutter. When you first begin ingesting data with Google Stackdriver ... Read More

Feed: Feed | Tractica. Author: Mark Beccue. One of the core benefits of artificial intelligence (AI) is its ability to remove humans from specific tasks and decisions. But if something goes wrong, who or what assumes responsibility? Who or what is culpable? What punishment would represent an effective deterrent? With no clear-cut answers, the looming governance of the accountability gap represents one of the greatest potential market barriers to the growth of AI. The Maltese Falcon Dashiell Hammett’s legendary book-turned-movie, The Maltese Falcon, is widely considered one of the greatest pieces of detective literature. The story is confusing – it ... Read More

Feed: Feed | Tractica. Author: sherrilhanson. Mobility as a service (MaaS) programs provide on-demand access to four-wheel and two-wheel vehicles to more efficiently and cost-effectively travel in urbanized areas. According to a new report from Tractica, MaaS is providing greater accessibility at similar or lower cost to owning a vehicle, empowering people to give up or delay vehicle purchases and rely on shared vehicles for their commute and leisure travel needs.The global population is moving into and near cities, with the majority of people now living in urban areas. This closer proximity between where people live, work, and play is ... Read More

Feed: Alation. Author: Conor Knowles, Tableau. January 13, 2020— This post originally appeared on www.tableau.com/about/blog. Powering self-service analytics at MercadoLibreMercadoLibre hosts the largest online commerce platform in Latin America with 3.3 million sellers and 267 million users. The e-commerce giant leverages Tableau and the Alation Data Catalog to create a seamless process of data discovery and analysis with the goal of enabling all of its 7,000 employees with self-service analytics. MercadoLibre’s journey to democratizing data began five years ago. At the time, MercadoLibre had a traditional BI model where users would make a request of the BI team and then ... Read More

Feed: Feed | Tractica. Author: Mark Beccue. In late 2016, Adobe announced that Sensei, the company’s AI technology, would begin to power and assist in some of its Digital Media applications, such as Photoshop and Illustrator. While that was only 3 short years ago, in the dawning of the AI era, Sensei’s role makes Adobe one of the pioneers of machine learning- and deep learning-powered AI. What started in 2016 as narrow AI technology aimed at narrow use cases has become an AI engine that, according to Tatiana Mejia, group Product Marketing manager for Sensei, now powers dozens of different ... Read More

Feed: Feed | Tractica. Author: sherrilhanson. The global collaborative robotics (cobot) market is experiencing a strong growth trend that is being driven by factors such as efficiency, quality, and automation of production. According to Tractica, cobots are being adopted in companies large and small, looking to assuage labor shortages and meet the demand for high mix/low volume production.The benefits of lower costs, increased safety, greater flexibility, rapid setup, and easier training are driving factors for global cobot demand. Traditional robot makers are moving to meet this demand by adapting existing robots or developing and offering new cobots. This trend is ... Read More

Feed: Feed | Tractica. Author: sherrilhanson. Artificial intelligence (AI) within the consumer, enterprise, government, and defense sectors is migrating from a conceptual “nice to have” to an essential technology driving improvements in quality, efficiency, and speed. According to a new report from Tractica, the top industry sectors where AI is likely to bring major transformation remain those in which there is a clear business case for incorporating AI, rather than pie-in-the-sky use cases that may not generate return on investment for many years.“The global AI market is entering a new phase in 2020 where the narrative is shifting from asking ... Read More

Feed: Alation. Author: Raja Perumal. January 3, 2020— Large enterprises invest heavily in modern data and analytic environments. That can be seen in growing revenues for big data and analytics — estimated to be $260 billion in the US by 2020, according to IDC. But while the cost and effort it takes to implement and maintain data environments can be pretty easily measured in dollars (and euros and yen), sweat, and time, measuring the “value” of those environments is much more difficult. One of the clearest indicators of the impact of the investment comes through the lens of the data-driven ... Read More

Feed: Feed | Tractica. Author: Anand Joshi. Neuromorphic technology has been around since the 1990s in some form or the other. Early versions of neuromorphic chipsets included SpinNNaker from the University of Manchester and IBM’s TrueNorth. Both of these chipsets won several accolades from the university community and were primarily R&D projects. A recent chip from Intel called Loihi is yet another attempt from a prominent chipmaker to revive interest in neuromorphic technology. With new developments in software tools, the technology has made some leaps and is slowly starting to reach the maturity needed for commercial deployment. Neuromorphic computing is ... Read More

Feed: Feed | Tractica. Author: Anand Joshi. The AI revolution started in 2012 when neural network AlexNet surpassed the accuracy of all previous classic computer vision techniques, and the industry has not looked back since. AI algorithms are compute-sensitive by nature, and the need for accelerating AI algorithms in hardware has long been recognized – with more than 100 companies jumping in with their chipsets. Intel vs. NVIDIA Intel is currently locked in battle with NVIDIA to become the world’s dominant AI chipset company. While NVIDIA’s focus is on discrete graphics processing units (GPUs) for AI acceleration, Intel is focusing ... Read More