Eggplant’s latest version of its Digital Automation Intelligence (DAI) platform includes new capabilities that democratize intelligent test automation as well as a new user interface. The new user interface brings together asset creation and editing, test definition, reporting, and advanced analysis into a unified experience, according to the company. Other new additions to the platform … continue reading
Nutanix Mine is now generally available, allowing users to experience data management capabilities on Nutanix’s enterprise cloud platform. “Backed up data, kept in isolated and aging infrastructure is hard to access, difficult to manage, often stored on antiquated devices, and almost impossible to reuse,” Nutanix Mine wrote in a post. “This keen focus on data … continue reading
Amazon has launched a new open-source library that will make it easier for developers to deploy machine learning models. With AutoGluon, Amazon aims to help developers deploy their models using just a few lines of code. “We developed AutoGluon to truly democratize machine learning, and make the power of deep learning available to all developers,” … continue reading
LG announced a new structured framework for the development of AI across the industry at CES 2020 this week. The framework will consist of four levels. Efficiency is the first level in which AI automatically adjusts performance in relation to pre-established sensory input parameters. Next is personalization, which focuses on pattern learning to optimize and … continue reading
Mastercard announced an agreement to acquire RiskRecon to help financial institutions, merchants and governments to secure their digital assets. With RiskRecon’s AI and data-driven technology is designed to help organizations proactively manage cyber risks and better safeguard intellectual property and consumer and payment data. “By becoming part of their team, we have an opportunity to … continue reading
The developers of Ruby announced version 2.7.0 which introduces new features and performance improvements such as pattern matching, REPL improvement, compaction GC and the separation of positional and keyword arguments. The new release also includes performance improvements such as JIT -ed code now being recompiled to less-optimized code when an optimization assumption is invalidated. The … continue reading
The new software development life cycle means working out ways to adapt the SDLC for your machine learning workflow and teams. With data scientists currently spending large chunks of their time on infrastructure and process instead of building models, finding ways to enable the SDLC to work effectively with machine learning is critical for not … continue reading
“Civilization advances by extending the number of important operations we can perform without thinking about them.” —Alfred North Whitehead, British mathematician, 1919 Hailed as a truly transformational technology, artificial intelligence (AI) is positioned to disrupt businesses either by enabling new approaches to solving complex problems, or threatening the status quo for whole business sectors or … continue reading
Thought leaders weigh in on what we can expect from the software development industry in 2020: Adam Scroggin, CEO of CardBoard DevOps will continue to be key as we move toward 2020. Software teams will notice more and more that once a product is released, it is not done. Software products are never done. We … continue reading
The Human-Centered Artificial Intelligence lab at Stanford University has just released their AI Index 2019 Report. According to the lab, this report is one of the most comprehensive AI studies ever performed. For the report, the researchers took an interdisciplinary approach in order to discover patterns about AI’s impact on every industry, from national economics … continue reading
Cloudera is calling for industry-wide participation in setting open standards for machine learning operations (MLOps) and machine learning model governance. Cloudera believes that community participation in developing these standards will ensure that companies can leverage their machine learning investments and pave a path for the future. RELATED CONTENT: AI ethics: Early but formative days Ethical … continue reading
In recent years, technology analysts have devoted much attention to the topic of developers and how the demographics of developers are changing. For starters, the International Data Corporation (IDC) has noted the growth of developer populations in China, India, Brazil, Russia, Indonesia and Turkey, as well as select countries in East Africa. In addition, IDC … continue reading
