CIOs are increasingly responsible for demonstrating business value, facing challenges like shadow IT and underutilized systems. Experts emphasize the importance of strong business relationships, adaptive change management, and data-driven decision-making. Collaboration with finance leaders and agile methodologies are key to successful technology integration and achieving strategic goals amidst external chaos.
The banking sector is experiencing a significant transformation, with major banks appointing Chief Data, Digital, and AI Officers. This strategic shift emphasizes the importance of digital, data, and AI in driving competitive advantage, customer experience, and innovation, focusing on customer-facing interactions and improved collaboration to create new value models in banking.
Betsy Cooper, director of the Aspen Policy Academy, aims to bridge the gap in cybersecurity awareness by empowering consumers and policymakers through training and advocacy. By sharing practical stories and solutions, her initiatives focus on improving accessibility and responsiveness in cybersecurity practices, particularly for vulnerable populations like older adults who fall victim to scams.
The speed of typing code is not the main bottleneck in software development; it’s the entire interconnected system. AI coding assistants can enhance development efficiency, but they also shift bottlenecks elsewhere. To measure true impact, organizations should adopt metrics that reflect overall productivity rather than just individual coding speed, focusing on the entire software delivery process.
As businesses adopt AI, the interaction between humans and AI systems is evolving. Companies must prioritize developing new skills that enhance collaboration with AI agents, transitioning from basic tasks to complex problem-solving. Training should focus on practical experience, such as skills-based volunteering, to build competencies essential for effective AI management.
The first step in turning frontline workers from a data liability into a data asset is to develop a deeper understanding of the data collection process, including: As data professionals, if we don’t understand the
As more data is loaded into Azure, the need to properly govern and manage that data across all your data sources and data consumers also grows. Data that seemed adequate in the source system is often found to be deficient when shared.
According to TechTarget , a recent IDC forecast revealed enterprises will create and capture an estimated 6.4 zettabytes of new data in 2020. This firehose of data is coming into the enterprise from a variety of sources: servers, smartphones, websites, social media networks, e-commerce platforms, and Internet of Things (IoT) devices.
AI governance is a board-level responsibility to mitigate pressures from regulators and advocacy groups. Image: Mopic – stock.adobe.com IBM, Microsoft and Amazon all recently announced they are either halting or pausing facial recognition technology initiatives.
Airlines are using a wealth of new data sources in 2020. Strategy should now replace adrenaline as the fuel for decisions around data adoption and usage.
In one of our recent research projects, a respondent told our team that “data is the food of AI. It’s what AI grows on.” This
Most companies still face critical obstacles in the early stages of building their people analytics capabilities, preventing real progress. The majority of teams are still
Cybersecurity has become a top concern for the boards of financial-services firms, and the level of concern seems to be growing day by day. With organizations
During her Interop Digital keynote, Microsoft’s Alysa Taylor will discuss how technology has been a catalyst for accelerated value and change in 2020. — Read
