On April 28, 2022, Paul McCartney’s concert showcased AI technology by recreating a lifelike John Lennon performance. This moment highlighted the contrast between generative AI, often misunderstood and overhyped, and predictive AI, which quietly enhances practical applications like medical diagnostics and disaster forecasting. Emphasizing predictive AI could yield more significant benefits.
Artificial intelligence is currently central to business strategies, but companies often mislabel automation as AI, leading to overpromising and underdelivering outcomes. Past technology cycles have shown similar patterns of inflated expectations. To realize true AI value, organizations must focus on clear definitions, measurable outcomes, data integrity, cultural shifts, and investment in capabilities.
The final edition of “The State of AI” features a discussion between MIT Technology Review and Financial Times editors about the future of AI in 2030. Predictions diverge, with concerns about economic inequality and rapid technological changes. Key points include the potential for societal divides based on access to technology and global disparities in AI adoption.
General Mills, a prominent food company, reported $19.5 billion in revenue for 2025, operating across North America, international markets, and pet segments. Led by Chief Digital and Technology Officer Jaime Montemayor, the company focuses on AI and data integration to enhance operations. Initiatives include modernizing cloud infrastructure, advanced analytics, and transformation in marketing strategies.
In 2022, Benjamin Alarie pivoted his legal tech startup, Blue J, to utilize AI technology, despite initial challenges. This shift led to significant growth, securing $122 million in funding and expanding its client base to 3,500 organizations. Blue J now addresses pressing talent shortages in the accounting sector, revolutionizing tax research efficiency.
At the OverdriveAI Summit, C-suite leaders from Verizon and Collectors discussed their AI strategies. Verizon employs AI for customer interactions and operational efficiency, while Collectors uses it for authenticating collectibles. Both companies aim to leverage AI further amid industry changes, showcasing its significant impact on their business models.
Forrester’s Predictions 2026 outlines major shifts in cloud computing, focusing on AI-native infrastructure and enterprise strategies. Expect two significant cloud outages due to data center upgrades. Companies will increasingly adopt private AI on private clouds for greater control, while neoclouds are set to capture $20 billion in revenue, challenging hyperscaler dominance.
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.
At NetApp INSIGHT 2025, the company emphasized transforming storage into an active data foundation to support AI-driven workloads. Key topics included disaggregated architectures, active metadata, and unified control planes to enhance data management. The event highlighted the need for enterprises to prioritize governance and scalability in their storage strategies to adapt to evolving infrastructure demands.
Mark Wittenburg, CIO of Raleigh, leads an AI initiative to enhance city services, including urban management and infrastructure maintenance. By collaborating with local universities, Raleigh’s IT team seeks to streamline processes and utilize generative AI internally before public deployment. Key projects include improving water infrastructure and enhancing city safety through machine learning.
Established companies can enhance innovation by leveraging start-up knowledge, yet face challenges in collaboration. Knowledge scouts, who facilitate integration of external technologies across divisions, struggle with cognitive and relational hurdles. Effective integration is more likely when divisions have previous experience with similar technologies, highlighting the importance of tailored strategies and cross-divisional engagement.
The content discusses the economic analysis of AI inference, focusing on the sustainability of AI systems’ outcomes through metrics like tokens per dollar for cost efficiency and tokens per watt for energy efficiency. It emphasizes the importance of optimizing production systems for profitability while considering multiple interconnected factors affecting performance and costs.
Multicloud security refers to using cloud services from multiple providers, addressing challenges such as greater attack surface, unique IAM frameworks, IaC security, insufficient visibility/monitoring, lack of standardized security policies, secret management, data transfer security, and workload security. Best practices include using centralized IAM/SSO, building centralized monitoring, and leveraging open-source technologies to strengthen security in multicloud environments.
Lazarus delivered various payloads to the victims’ systems; the most notable is a publicly undocumented and sophisticated remote access trojan (RAT) that we named LightlessCan, which represents a significant advancement compared to its predecessor, BlindingCan. LightlessCan
