While the global spend on artificial intelligence (AI) and machine learning (ML) was $50 billion in 2020 and is expected to increase to $110 billion by 2024 per an IDC report, AI/ML success has been hard to come by—and often slow to arrive when it does. There are four main impediments to successful adoption of AI/ML in the cloud-native enterprise.

Being in touch with your customers is key to any business. We at Derdack pride ourselves in being customer first when it comes to not only product enhancements and features but also support and building that customer/vendor relationship that lasts for years. We recently took a trip to Texas to visit several customers and the feedback was invaluable! We received a lot more information with a face-to-face meeting that just would not be the same if it were done virtually, like over Teams.

Last summer, we added support for the open source Zephyr RTOS to Tracealyzer. Today, in recognition of the potential of Zephyr to become the leading independent platform for small IoT devices, Percepio joined the Zephyr Project as a Silver sponsor. Percepio made significant contributions to the Zephyr source code, extending the tracing subsystem to allow full tracing of Zephyr applications in line with the capabilities of Tracealyzer.

Banking is becoming more convenient thanks to the Internet and our many connected devices, and the future of the banking industry is growing increasingly digital. Whether discussing the future of retail banking or the future of mobile banking, technology is playing a larger role in our everyday transactions. The Internet of Things (IoT) is part of this rapid evolution toward the bank of the future, and both consumers and financial institutions need to adapt to these retail and mobile banking trends.

With dozens of microservices running on multiple production regions, getting to a point where any error log can be immediately identified and resolved feels like a distant dream. As an observability company, we at Coralogix are pedantic when it comes to any issue in one of our environments. That’s why we are using an internal Coralogix account to monitor our development and production environments.

Closing the gap between their organization’s choice to invest in a data science and machine learning (DSML) strategy and the needs that business units have for results, will dominate data and analytics leaders’ priorities in 2022. Despite the growing enthusiasm for DSML’s core technologies, getting results from its strategies is elusive for enterprises.