9. AI is revolutionizing software development
Posted: Sun Feb 09, 2025 8:19 am
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.
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 spain mobile database 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 predicts.
10. AI administration is getting stronger
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.
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 spain mobile database 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 predicts.
10. AI administration is getting stronger
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.