Gartner revealed its top 10 strategic technology trends for the next year at its IT Symposium/Xpo 2019 conference in Orlando. According to the company, a strategic technology trend is one that has the potential to disrupt the industry and break out into broader impact and use. Unlike last year’s trends, this year’s trend does not … continue reading
Google is making a number of advances in the area of machine learning this week, from the release of TensorFlow 2.0 to updates to its Vision AI portfolio. TensorFlow is Google’s open-source machine learning library. Version 2.0 provides an ecosystem of tools for developers and researchers looking to push the boundaries of machine learning and … continue reading
Everyone wants to test faster and cheaper, but they forget about testing smarter in the process. A recent report from the test automation company Eggplant found improving customer experience is the number one priority for organizations, but almost half of businesses are having trouble testing for real user experience. The research also found that business … continue reading
DeepCode is bringing its AI-powered code review capabilities to Visual Studio Code. The company announced an open-source extension that will enable developers to use DeepCode to detect bugs and issues in Visual Studio Code. RELATED CONTENT: Artificially intelligent “co-developers” Be (AI) smarter about your digital transformation New AI platform tackles ten steps of AutoML DeepCode … continue reading
“Successful digital transformation is like a caterpillar turning into a butterfly. It’s still the same organism, but it now has superpowers.” George Westerman, principal research scientist at the MIT Initiative on the Digital Economy, first used the now popular analogy two years ago to explain the changes businesses were going through. But, over the last … continue reading
A new artificial intelligence platform wants to automate the machine learning process for data scientists and developers from data to impact. AI company Aible announced Aible Advanced, an AutoML solution designed to generate predictive models for businesses. According to the company, legacy AutoML solutions don’t provide proper access for both developers and data scientists, and … continue reading
IBM is releasing a new open-source project designed to help users understand how machine learning models make predictions as well as advance the responsibility and trustworthiness of AI. IBM’s AI Explainability 360 project is an open-source toolkit of algorithms that support the interoperability and explainability of machine learning models. According to the company, machine learning … continue reading
AI use is growing rapidly. As with most “new” technologies, organizations are focusing on all the potential opportunities without giving equal weight to the potential risks. While it seems that just about everyone is talking about AI, less discussed, but growing in volume and frequency, is AI ethics which questions whether categories of AI systems … continue reading
Despite the promises of artificial intelligence, companies are still trying to figure out how to stabilize and scale their AI initiatives. A newly released report revealed while 63.2 percent of businesses are investing between $500,000 and $10 million on AI efforts, 60.6 percent of respondents continue to experience a variety of operational challenges. According to … continue reading
OpenAI and Microsoft are partnering to accelerate breakthroughs in AI in Azure and help developers build the next generation of AI applications. The companies said they are focusing on building a computational platform in Azure, which will train and run increasingly advanced AI models, including hardware technologies that build on Microsoft’s supercomputing technology. “AI is … continue reading
About two-thirds of companies are emphasizing an “AI First” culture to take advantage of the many benefits that it offers, yet few can boast that they have obtained enterprise-wide success in implementing the technology. A recent report by the International Data Corporation (IDC) said that only a quarter of companies worldwide have an enterprise-wide AI … continue reading
The relentless demands of digital transformation initiatives mean that application development (AD) teams have to find ways to increase their productivity. Artificial intelligence (AI) and machine learning (ML) are now good options to augment AD teams and increase their output. We predict that, by 2022, at least 40 percent of new AD projects will have … continue reading
