10. AI administration is getting stronger

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AI for professional content creation will allow companies to engage with their customers in a much more targeted and engaging way, Tuman believes. “Increasingly personalized and tailored content will target audiences on every screen,” he says.

9. AI is revolutionizing software development
The rapid evolution of centralized platforms and the integration of AI/ML across all stages of the software development lifecycle—from ideation and planning to managing deployments to production—will revolutionize software development, says Sandhya Sridharan, head of engineering, platforms and experience, JPMorgan Chase.

These trends will streamline and accelerate every aspect of an engineer’s workflow, reduce cognitive overload, enable reusable code, make code easier to find, and enable faster troubleshooting. AI will even generate test code, allowing developers to focus on the creative aspects of software design and bring solutions to market faster. “The new relationship between the engineering platform and AI/ML will pave the way for an era of development where intelligent automation and human creativity come together to deliver exceptional products and services at unprecedented scale to customers and users around the world,” Sridharan preTrusted Digital Solutions and Platforms: A View from Rosatom
22.12.2023
Trustworthiness of solutions, both in hardware costa rica mobile database in software, is still a debatable issue. This term has gained additional relevance after the emergence of an immediate need to reduce the dependence of Russian key infrastructure on the widely implemented solutions of foreign vendors. Currently, many domestic companies are developing such solutions, both for their own use and for the market. Evgeny Dorofeev , Managing Director for Information Security and Trusted Digital Solutions at Rusatom Automated Control Systems, talks about why the development of software platforms is extremely relevant in the strategic perspective and how trusted digital solutions for industry have become a necessity instead of a trend.

dicts.

According to Tarun Chopra, vice president of product, data, and AI management at IBM, enterprises will increasingly invest in AI governance in 2024. “We will see companies focusing on their data strategies, with a focus on AI governance and data quality,” he explains. He says organizations will leverage automation and digital workers to give employees more time to focus on tasks like upskilling, developing their work, and finding new ways to use AI to their advantage. They will also focus on being prepared for upcoming security and transparency regulations, proactively mitigating risk, and managing fairness, bias, and model bias.