Over the past half a decade or so, artificial intelligence has become one of the most important creations of the tech industry, and plenty of companies specializing in this particular niche have sprouted. Consequently, investors who wish to cash in on this fast-growing and highly innovative sector may want to start tracking some of the artificial intelligence stocks on the market. The coronavirus crisis may have resulted in major disruptions in many industries, but it could actually speed up the adoption of artificial industries at a much larger scale. Hence, now might be a good time for investors to start looking at some artificial intelligence stocks. Here is a closer look at some promising AI stocks.

Could a computer program write engaging news stories? In a recent Technology Trends and Predictions report from Reuters, 78% of the 200 digital leaders, editors, and CEOs surveyed said investing in artificial intelligence (AI) technologies would help secure the future of journalism (Newman, 2018). Exploring these new methods of reporting, however, has introduced a wide array of unforeseen ethical concerns for those already struggling to understand the complex dynamics between human journalists and computational work. Implementing automated storytelling into the newsrooms presents journalists with questions of how to preserve and encourage accuracy and fairness in their reporting and transparency with the audiences they serve. Artificial intelligence in the newsroom has progressed from an idea to a reality.

Establish data intelligence at first sight: Data Inventory is a new cloud-based app designed for self-service that automatically inventories and quality checks data to establish data intelligence quickly and easily. It unlocks data silos and fosters collaboration and reuse so that data professionals don't need to repeatedly build the same datasets. Boost data intelligence at speed: With new intelligent data preparation capabilities, Talend Pipeline Designer, a modern, cloud-based solution for building and deploying data pipelines, now provides an in-flight data quality feature that eliminates quality problems before the data is consumed or replicated. Additionally, no coding or complex transformations are required, which will help citizen integrators increase development and maintain productivity. Empower everyone with data intelligence at scale: Intelligent data quality with augmented intelligence uses machine learning to compare data matching so customers can empower everyone in the organization with data intelligence.

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Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

WhatsApp says that highly-forwarded messages have plunged since it introduced new rules. Earlier this month, in a major change, the company announced that it would prohibit people sending on "highly-forwarded" messages in an attempt to stop the spread of viral posts. The new rules mean that if a message has already been sent on in bulk, users have to go to extra effort to forward it on more. If a message has been forwarded enough to get a "highly-forwarded" tag, users can only send it on to one person at a time, rather than five. Now the company says those new rules have worked, and the number of such messages being forwarded on has dropped 70 per cent since the new features were introduced.

Telegram has announced plans to introduce secure group video call functionality for all of its users in response to the global coronavirus lockdown. The new feature was revealed by Telegram founder Pavel Durov in a blog post celebrating the messaging app passing 400 million users. There is no set date for when the update will be implemented, though Mr Durov said it would happen before the end of the year. "The current global lockdown highlighted the need for a trusted video communication tool," he wrote. "Video calls in 2020 are much like messaging in 2013. There are apps that are either secure or useable, but not both. We'd like to fix that, and we will focus on bringing you secure group video calls in 2020."

NatWest Markets announced today a partnership with Enterprise AI platform, Dataiku in a bid to enhance customer experience with the latter's self-service analytics and machine learning. The collaboration also aims to bring new efficiencies across trade execution and drive business solutions for analysts. The bank is expected to utilise Dataiku's' centralised data platform for fueling collaboration between its technical and front office users. "We made a decision to accelerate our AI journey by democratising machine learning and data science across our investment banking division," said Oliver Cooke, Chief Digital Officer at NatWest Markets. "This allows us to enable users with different skill levels to undertake machine learning and advanced analytics in a governed, automated and scalable manner. With Dataiku, we can now use data-driven insight to help our corporate and institutional customers manage their financing and risk management needs."

A general lack of preparedness in customer care has revealed each industry's weaknesses and vulnerabilities. Every vertical market has its unique challenges, but the concerns that are universal for all include lack of bandwidth, secured networks, and reliability. In this volatile and unpredictable environment, our global customer experience team will weigh in on key strategies and technologies companies in all sectors should leverage and monitor closely. Frost & Sullivan invites you to join industry experts Alpa Shah, Juan Gonzalez, Michael DeSalles, Alexander Michael and Krishna Baidya for the Growth Opportunity briefing, "Key Growth Strategies and Technologies to Upgrade Your Customer Experience amidst the Pandemic," on April 29 at 11 a.m. The briefing will discuss ways to deliver secure, high-quality, and stable CX services to your clients to gain a competitive advantage during these uncertain times, including the optimization of your artificial intelligence, robotic process automation, and virtual agents.

Amazon A2I helps developers add human review for model predictions to new or existing applications using reviewers from Mechanical Turk, third party vendors, or their own employees. Amazon A2I makes it easier for developers to build the human review system, structure the review process, and manage the human review workforce. For example, developers could use Amazon A2I to quickly spin up and manage a workforce of humans to review and validate the accuracy of machine learning predictions for an application that extracts financial information from scanned mortgage documents or an application that uses image recognition to identify counterfeit items online, so that the quality of results improve over time. There are no upfront commitments to use Amazon A2I, and users pay only for each review needed. Today, machine learning provides highly accurate predictions (known as "inferences") for a variety of use cases, including identifying objects in images, extracting text from scanned documents, or transcribing and understanding spoken language.