At Money20/20 in Amsterdam, discussions focused on trust and agentic commerce in banking. Key concerns for banks included AI reliability, data safety, and regulatory compliance. Vendors must clearly define their solutions amidst evolving AI roles. Furthermore, aligned messaging is vital for effective marketing and sales within the industry, as AI reshapes operations.
Anthropic leads U.S. enterprise AI adoption at 34.4%, outperforming OpenAI’s 32.3%. Despite this, CIOs prioritize security and governance over choosing a single model. They advocate for flexible, multi-vendor approaches, focusing on building adaptable architectures and managing costs tied to outcomes, rather than merely chasing market leaders.
Agentic AI is projected to generate nearly $450 billion in value by 2028, particularly when organizations adopt a zero-based process redesign (ZBPR) strategy. This approach encourages companies to reimagine workflows for optimal efficiency using AI, moving beyond incremental automation. Successful implementation demands cultural shifts, executive commitment, and employee reskilling for substantial benefits.
The US federal government has mandated a timeline for agencies to transition to post-quantum cryptography (PQC) through an executive order. This shift transforms quantum risk into a structured governance issue, impacting enterprise risk management. Organizations must prioritize PQC migration, establish accountability, and ensure third-party compliance to mitigate potential negligence risks.
At HPE Discover 2026, the focus was on rethinking networking and infrastructure due to AI’s impact. HPE emphasized its historical strengths, linking its future to Juniper’s capabilities in AI-driven operations. The event highlighted a shift back to infrastructure fundamentals, with a strategic vision increasingly shaped by Juniper’s influence in networking and AI.
For the past three years, the AI industry has operated under a simple assumption: there is never enough compute. That belief has fueled one of
Last week’s Identiverse conference in Las Vegas left no doubt that the scope and importance of identity security is now magnified. Identiverse 2026 underscored the
Anthropic launched Claude Science, a powerful new AI tool aimed at enhancing scientific research, particularly in drug development and computational biology. Unlike previous tools, it operates as a standalone product, offering significant autonomy. The company aims to match industry leaders like Google DeepMind while actively pursuing its own research into neglected diseases.
Oracle has confirmed layoffs of 21,000 employees, representing 13% of its workforce, due to increased investment in AI and a restructuring plan. The company anticipates further AI-related layoffs, highlighting the need for IT professionals to upskill. Rising operational costs also contributed to the workforce reduction as Oracle pivots towards cloud and AI services.
The DASH conference highlighted Datadog’s evolving role in IT management, emphasizing its capabilities in operational control and application security. By leveraging AI and production telemetry, Datadog aims to improve vulnerability triage and remediation. Its approach addresses modern challenges in development workflows while gradually introducing autonomy in operations management.
The post emphasizes that while customer journey maps exist, they often fail to influence decision-making in organizations. It advocates for treating journey insights as contextual tools for guiding business priorities rather than mere deliverables. To improve customer value, companies should integrate journey context into their decision systems, ensuring collaboration across functions.
Distributed commerce is transforming consumer purchasing, with 62% of US and UK online adults using answer engines for product research. To succeed, businesses must adapt strategies for machine-driven sales, utilize test-and-scale playbooks, and rigorously evaluate channels based on profitability and operational feasibility, ensuring long-term success in a fragmented market.
Quantum technology is advancing towards industrialization with substantial government investments, particularly in the U.S. and U.K., as well as efforts to enhance manufacturability. Despite optimism for its practical applications, challenges like error correction and scalability remain. Quantum computing is expected to complement classical systems rather than replace them.
Google has regained its leading position in the search engine market, focusing on AI-driven systems. Despite some consumer skepticism about AI, Google’s innovations aim to enhance user experience and integrate ads into search. Marketers must adapt to these changes, refining strategies to navigate the evolving landscape of AI in commerce and advertising.
