Security and risk professionals that will need to protect their AI-powered systems, leverage AI to enhance security defense, and anticipate the use of AI by attackers.
FREMONT, CA: The previous year saw the robotic process automation, AI, low-code architectures, and also conversational interfaces firmly take root within the enterprise. The enterprises moved from grappling with these concepts to building out their business cases and pilot projects. However, along the way, the enterprise discovered the inherent challenges that are associated with digital ethics, security, and new skill sets that are needed to set the transformative strategies in motion.
At present, the digital-first world, consumers are demanding an effortless experience as they jump from device to device or on multiple devices simultaneously. The multi-experience is known as how the users perceive and interact with the digital world. Conversational platforms change the way the users interact with the digital world, while virtual reality, augmented reality, and the mixed reality changes the way they learn it. However, supporting the multi-experience requires a flexible back end to support the different capabilities and workflows across every app.
Throughout history, humans use tools to increase their abilities and performance. The technologies like the IoT, AI, smart speakers, and VR offers opportunities for human augmentation in entirely new ways. This augmentation permits users to achieve digital transformation through human transformation. As a result of this, the enterprises big and small consider human augmentation to achieve several business outcomes. Before the organizations embark on new use cases for human augmentation, they should examine the security, privacy, compliance, and ethical impacts along the way.
This term brings robots, drones, autonomous vehicles, and appliances. While the autonomous things range from semi-autonomous to fully autonomous. According to Gartner, it defines these objects as things that can operate unsupervised within a defined context or complete a task. No matter the level of automation, autonomous things can't hope to match the human brain. Enterprises can leverage specific business environments and customer journey maps to find opportunities for automating manual tasks with intelligent devices.