Artificial intelligence (AI) is revolutionizing retail, offering tailored marketing, unique product selections, and personalized customer experiences. Retailers embracing AI can anticipate trends, enhance customer loyalty, optimize inventory, and improve decision-making. As AI continues to advance, its capabilities will become essential for retailers looking to stay competitive in the market.
The commercial real estate industry is undergoing significant technological disruption, accelerated by the pandemic. Berkadia’s CIO, Damu Bashyam, highlights the critical role of data, AI, and innovation in transforming the industry. With a focus on cultivating an innovative culture and leveraging generative AI, Berkadia aims to capitalize on opportunities while addressing potential challenges like inflation and high interest rates.
Financial services customers increasingly seek modernization and flexibility in their deployments. IBM Cloud Satellite and IBM Cloud for Financial Services address these needs by enabling consistent, secure, and compliant deployment of applications across hybrid cloud environments. They support modern, cloud-native applications to run anywhere while maintaining standardized operations. The blog illustrates how a loan origination application, modernized with Kubernetes and microservices, was deployed using these services, highlighting the integration of automated CI/CD/CC pipelines, best practices, and agile DevSecOps strategies.
CPG (consumer packaged goods) firms can unlock data-derived insights with constellation analytics, a strategy that connects disparate datasets to reveal patterns and relationships. AI plays a secondary but important role, highlighting patterns after data integration. The approach can enhance product innovation, boost brand resonance, and support first-mover strategies by enriching data analysis and validating complex hypotheses. Examples include product improvement, ideation based on new trends, and enhancing brand messaging.
The construction industry has seen steady technological advancements in the last several decades, resulting in better safety and efficiency than our ancestors could ever hope
Generative AI in manufacturing is used to interpret data and make smarter decisions during the product lifecycle. Companies like General Motors employ these customized algorithms to optimize vehicle parts, making them lighter and more efficient. The global market for generative AI in manufacturing is predicted to reach around USD 6.3 million by 2032. The applications of generative AI range from design and production to supply chain optimization, quality control automation, predictive maintenance, and customer support improvement.
The introduction of Central Bank Digital Currency (CBDC) has added a new dimension to blockchain technology that transforms the future of payments for businesses and individuals. CBDC operates on a secure, transparent
“The risks and challenges associated with these emerging technologies are undoubtedly growing, posing concerns among regulators for their impact on existing financial systems,” explains Dennis Gada, executive vice president,
To enhance stress testing and reporting capabilities amid a heightened regulatory climate, banks are turning to technologies such as distributed computing, orchestration engines and generative AI, according to Vikas
With the advance of rapidly emerging machine learning and Artificial Intelligence (AI) capabilities, it is now possible to capture and analyze data, and predict outcomes, with far greater precision.
The adoption of IoT-based automation and robotics continues to streamline routine warehousing operations, reduce operational costs and enhance customer satisfaction by fostering data-driven warehouse
Machine learning (ML) is a process that involves teaching machines to identify patterns in large volumes of data, often associated with artificial intelligence (AI).
Hotels can record and analyze guest behavior through the use of sensors and beacons wirelessly connected to a central platform in order to offer customized services and optimize their business processes. Through the
The market for autonomous cars also looks likely to grow in the coming years, with IoT playing a critical role in developing and deploying these vehicles. Of course, the impact of AI and autonomous vehicles may
