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AI can generate photorealistic faces and mass-personalize phishing campaigns, minimizing threat actors’ efforts while increasing the potential volume of their attacks. With the continued growth of AI and machine learning, over the next several years you’re going to see more threat actors using these technologies to automate cyberattacks. This will allow most manufacturing plants to operate autonomously, starting and stopping production based on events triggered by ML models as well as ordering production supplies or machine replacements systematically. With the help of AI, ML and the Internet of Things, most manufacturing execution systems are becoming more and more efficient, resilient and self-correcting. In ten years, simple, free-form queries will be fully automated, enabling customer service professionals to focus on higher-value activities that more effectively drive customer satisfaction. The ability for machines to accurately understand and respond to basic customer service questions, either verbally or in writing, is exponentially increasing. In the future, everyone will have AI assistants, and they will be able to talk to each other and get a lot of work done automatically, without human involvement. AI can help in scheduling meetings, taking notes, maintaining inventory, parsing through emails, booking air tickets, vendor invoicing, generating reports and much more. Andrew Siemer, InventiveĮxecutive assistants will be a thing of the past. This can already be seen with pizzas, and soon it will be applied to line chefs at other fast-food restaurants. A similar wave is occurring with fast food, from order placing to end-product assembly. Automation can impact almost all activities, from checkout (self-checkout is already widespread) to clean-up robots (enterprise Roomba) to inventory management and the stocking of shelves. Grocery stores are a great example of an environment where fewer and fewer humans are required. The most impacted areas will be talent sourcing, candidate engagement and prospective employee assessment.

OFFICE TASKS THAT CAN BE AUTOMATED PROFESSIONAL

In my professional activities, I am directly connected with hiring and recruiting spheres, and I can say with confidence that this area will face a real revolution in the coming years due to the use of machine learning and AI. An increase in social media platforms makes it easy for customers to make a purchase via applications and self-service marketplaces. The reason is that advertising is shifting toward social media and websites. Repetitive, simple tasks will go first, pursued by lead prospecting, engagement and qualification.

Natural language processing coupled with ML’s ability to optimize tasks creates an opportunity for sales automation. However, machines will do the bulk of the work, which will save tech leaders time and money. You’ll still need writers and editors to make “human” touches that machines cannot replicate. I believe a large portion of content marketing will be done by AI and ML in the next ten years. Mark Schlesinger, Broadridge Financial Solutions

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The absolute driver is the evolution of companies’ digital strategies and the need to write and deploy quality software at velocities that are well beyond current capabilities. James Duez, Rainbird TechnologiesĪs AI and ML technologies become more mature and pervasive, these solutions will replace end-to-end application software quality testing over the next four to five years. Beyond that, accounting is set for significant transformation driven not only by technology but by a significant shortage of accountants. Business process organizations are most at risk of displacement as they focus on the processing of narrow, repetitive tasks. ML and intelligent automation technologies are automating tasks rather than whole jobs, and this trend is likely to continue.

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AI and machine learning will free up the time it now takes to understand the supply chain, creating space for leaders to make more strategic decisions. This will help supply chains better predict customer and supplier behavior and optimize the inventory and procurement processes. Inventory management and procurement will become automated within the next decade. With the rise of models such as GPT-3 and features such as predictive text in Gmail and iMessage, we’re already seeing technology that makes mundane writing more efficient and fun, all while allowing business leaders to spend the time saved on more complex tasks. Rich Waldron, Tray.ioīusiness writing-memos, emails and so on-will be thoroughly automated in the next five to ten years. Low-code automation enables business users to self-service and IT teams to innovate strategic solutions faster.

Organizations continue to expect IT to pursue strategic projects such as digital transformation while supporting a distributed workforce and managing a growing internal backlog incurred by increasingly software-dependent teams. More IT organizations will rely on automation.

Office tasks that can be automated