Financial services compliance is a big area. Prajit Nanu, CEO of B2B payments platform Nium, says it's in everybody's interest that payment transactions are as frictionless as possible, but many commonly used payment systems carry unnecessary layers of complexity, including when ensuring regulations and compliance. He says automation can help to resolve lags arising from risk and compliance checks, which can be a time-consuming and labour-intensive process, particularly for those dealing with cross region, cross country checks. An automated payment platform appropriately integrated with other business software can perform these checks much more seamlessly. Nanu says: "Digital tools, such as individualised transaction profiles, coupled with the output of machine learning processes, will be able to offer real-time solutions which significantly reduce the time required for risk and compliance checks, while still allowing effective identity verification and fraud detection checks."

The database administrator (DBA) is typically tasked with making applications run more efficiently in order to meet service level agreements (SLAs) or just to ensure optimum user experience. From the users' perspective, this means faster execution times and quicker application response times. However, from a database systems management perspective, the DBA must pay close attention to overall workload resource usage, both in real-time and long-term. With multiple resource types across multiple hardware platforms, and add to this, trends like DevOps CI/CD automation and cloud adoption, the DBA's job and the pressure on them to track SQL execution performance can be quite intensive. Utilizing Artificial Intelligence (AI) for SQL tuning can help DBAs and developers reap the benefits of a true automated process.

The last 12 months has seen multiple industries put an increasing amount of emphasis on digital transformation, with more businesses beginning to experiment and deploy new smart tools and workflow solutions, which has led to faster information sharing, increased productivity and the automation of repetitive, mundane tasks. But the cybersecurity attacks that took place in 2019 have made companies reconsider their strategies with security now becoming more prominent. The last 12 months saw a number of huge high-profile hacking and cybersecurity attacks across a range of sectors, including Toyota's data breach that exposed the details of 3.1 million customers. Incidents like this have made organisations increasingly conscious about their security models, with many now looking to improve their security systems, but how can they achieve this? As companies continue to adopt smarter and integrated workflow solutions, the security of the entire system must be considered.

The last 12 months has seen multiple industries put an increasing amount of emphasis on digital transformation, with more businesses beginning to experiment and deploy new smart tools and workflow solutions, which has led to faster information sharing, increased productivity and the automation of repetitive, mundane tasks. But the cybersecurity attacks that took place in 2019 have made companies reconsider their strategies with security now becoming more prominent. The last 12 months saw a number of huge high-profile hacking and cybersecurity attacks across a range of sectors, including Toyota's data breach that exposed the details of 3.1 million customers. Incidents like this have made organisations increasingly conscious about their security models, with many now looking to improve their security systems, but how can they achieve this? As companies continue to adopt smarter and integrated workflow solutions, the security of the entire system must be considered.

With Novel Coronavirus (2019-nCov) causing a bigger number of deaths than the 2003 SARS episode and giving no indications of containment, one thing turns out to be clear: the sickness is out of our control at this moment and we will need to get innovative if we need to catch it. The illness began in China back in December and keeping in mind that there's been a lot of discussion around how it was taken care of, it's essential to perceive that our energy is best spent discovering solutions. Presently, like never before, the world needs to meet up. We need to deliver the best personalities in healthcare and technology and innovate in case we will outflank this sickness. The ongoing coronavirus outbreak (or COVID-19, if you need to be progressively precise) is changing the manner in which individuals live their day-to-day lives and interact with one another. It's additionally affecting how organizations work, as employees request to work from home and the condition of supply chains changes erratically.

Hyland, a vendor of content services and enterprise imaging technologies, will have a major presence at the HIMSS20 Global Conference. It's a big player in healthcare information technology, and has a team with decades of experience in the industry. Ahead of HIMSS20, Healthcare IT News interviewed Susan deCathelineau, senior vice president of healthcare sales and services at Hyland. She offers her perspective on the key trends impacting conference attendees. She identifies interoperability, AI for clinical uses, and providers finally embracing the cloud as three trends that healthcare CIOs and other health IT leaders should be on top of.

Although many have predicted that AI is the so-called silver bullet that will put an end to cyber-crime, once and for all, I have also identified a paradox, which is the surprising lack of focus on the security of AI itself. This, I predict, will change in 2020. AI security is a problem because AI models are still fairly insecure, and therefore vulnerable to attack. An adversarial approach could look like a malicious hacker intervening in the training process of an AI. For example, an AI learning to recognise cats could be tricked into believing that an image of a dog was also a cat: an exploit that could later be leveraged. It is also possible to extract parts of an AI model, leading to intellectual property theft, as well as the ability to craft "adversarial" AI that could manipulate the intended model.

Growing use of artificial intelligence, machine learning with data analytics, and business intelligence: Business applications continue to churn out large volumes of data, and users are trying to mine that data to determine patterns and predict user behaviour. In e-commerce, users want to know customers' buying patterns, which will help market products better. Website designers want to understand how visitors move through their sites in order to improve conversion rates. And companies want to analyse their sales data to correlate marketing dollars spent with sales dollars generated. Business intelligence and data analytics activities are becoming easier to perform, and that's driving their adoption in mainstream businesses that are seeking to make better, faster decisions. Rise of AI-powered chatbots in customer service and support: Over the past few years, chatbots -- the automated, human-like chat responders -- have been more of an experiment, with limited adoption.

What will be the key artificial intelligence and technology trends for IT in 2018? Business applications continue to churn out large volumes of data, and users are trying to mine that data to determine patterns and predict user behavior. In ecommerce, users want to know customers' buying patterns, which will help market products better. Website designers want to understand how visitors move through their sites in order to improve conversion rates. And companies want to analyze their sales data to correlate marketing dollars spent with sales dollars generated. Business intelligence and data analytics activities are becoming easier to perform, and that's driving their adoption in mainstream businesses that are seeking to make better, faster decisions.

This session will be an introductory dive into sklearn & theano. What each one is used for and how to build a basic model with each. We will do a walkthrough of the developer portal, testing the production system as well as security. Here's Why Cloud Adoption Is About To Shift Into High Gear Friday Spotlight: automated installation of Oracle VM Server x86 Here's Why Cloud Adoption Is About To Shift Into High Gear