Artificial intelligence (AI) isn't just a buzzword anymore. Its uses span far and wide, from search engines, machine translations, cybersecurity, and much more.
"However, one of its most common applications is seen in Conversational AI. We commonly see it manifest as virtual assistants like Alexa and Siri, but its applications are far deeper, especially on the business front in tools like Google Dialogflow, Amazon Comprehend, and IBM Watson.
Moreover, businesses that invested in AI a few years ago are now far ahead of the competition in many ways. As per a report by ResearchAndMarkets, the global NLP market is expected to surpass USD 28bn by 2026. There is a reason behind this phenomenal growth - an effort to make AI as intelligent as human beings..."
Open source stacks enabled software to eat the world. Now several innovative companies are working to build a similar open source software stack for AI development
"Dan Jeffries was there when the LAMP stack kicked this off.
LAMP is an acronym representing the key technologies first used in open source software development - Linux, Apache, MySQL, and PHP. These technologies were once hotly debated, but today they are so successful that the LAMP stack has become ubiquitous, invisible, and boring.
AI, on the other hand, is hotter than ever. Much as the LAMP stack turned software development into a commodity and made it a bit boring, especially if you're not a professional developer, a successful AI software stack should turn AI into a commodity - and make it a little boring too. That is precisely what Jeffries is setting out to do with the AI Infrastructure Alliance (AIIA)..."
Adversa has published comprehensive research on the security and trustworthiness of AI systems worldwide during the last decade
"The report reveals the most critical real-world security threats facing AI and effective countermeasures to protect these systems. The research considers the impact of ongoing regulations concerning AI security in the EU and USA..."
"Building trust in the security and safety of machine learning is crucial. We are asking people to put their faith in what is essentially a black box, and for the AI revolution to succeed, we must build trust. And we can't bolt security on this time. We won't have many chances at getting it right. The risks are too high - but so are the benefits," said Oliver Rochford, Adversa Advisor...
How Beacon Street Services, Company Nurse, and Devon Energy are using artificial intelligence and machine learning to improve sales and marketing, identify and protect sensitive information, and automate oil drilling operations
"Artificial intelligence (AI) and machine learning (ML) might be high in the hype cycle at the moment. But that doesn't mean organizations are not realizing tangible gains from deploying products that leverage the technologies.
Here are three examples of how AI and ML are improving internal business processes and paying off for enterprises..."
See all Archived IT - AI articles
See all articles from this issue