Jonathan Anthony
Latest from Jonathan Anthony
Enterprise AI transformation has a new home: the boardroom. Across financial services, CEOs are now demanding results, not more roadmaps. As Google Cloud Next 2026 packed Las Vegas with announcements — from the Gemini Enterprise Agent Platform to eighth-generation Tensor Processing Units — …
Fragmented AI policy threatens US leadership as government scrambles to keep pace
AI policy fragmentation is emerging as a critical risk for Washington, and without a federal standard, a patchwork of conflicting state-level rules threatens to undermine American competitiveness. That gap is precisely what Appian Corp. is moving to address at the highest levels …
The Google-Anthropic partnership made trust the strategy behind a $30B run rate
Google LLC and Anthropic PBC are two of the most powerful forces shaping enterprise AI. As agentic deployments demand platforms that are both capable and safe to build on, the Google-Anthropic partnership is fast becoming the model others are measured against. Google …
Cloud cost optimization becomes an enterprise mandate as AI bills spiral
As AI rapidly rewrites enterprise economics, cloud cost optimization has become essential for preventing budgets from collapsing under AI workloads, enabling organizations to slash expenses and redirect engineering talent from reactive firefighting to higher-value innovation. Nordstrom Inc. learned that lesson firsthand after …
You can’t prompt your way out of complexity: Why enterprise AI is turning to process intelligence
As enterprises navigate the complexities of scaling AI initiatives, the agentic AI blueprint for success lies in combining deep process intelligence with powerful cloud platforms, enabling organizations such as Genpact Ltd. to transform finance and operations workflows through reimagined processes and effective …
Agentic AI gives CPG brands a real-time edge on marketing spend and product testing
Consumer packaged goods companies face mounting pressure to grow profitably while operating on razor-thin margins — and agentic AI is emerging as the tool that can close the gap between fragmented data and real-time marketing outcomes. The sector has long relied on …
The AI agent race will be won by companies that build the right data foundation
The agentic AI boom has an inconvenient truth: Without a solid data foundation, the revolution stops before it starts. Conversations surrounding an emergent agent control plane signal that agentic AI is maturing — but the enterprises best positioned to capitalize are those that did …
DDN and Google Cloud are redefining AI storage infrastructure for the agentic era
As enterprises pivot from AI experimentation to production deployment, AI storage infrastructure is emerging as the critical bottleneck determining whether massive chip investments deliver real returns. The central challenge for running large-scale AI workloads has shifted from building models to keeping the …
30,000 tables, zero context: Why legacy data architecture remains AI’s biggest enemy
Enterprise AI ambitions are stalling not because models are hard to build, but because the data foundations underneath them were never designed to support intelligent workloads at scale — and a unified data lakehouse architecture might be the solution. The problem is …
McKinsey global strategy leader says it’s ‘game over’ when CEOs delegate AI to the analytics team
AI investment is surging to manic heights, but C-suites have yet to see it translate into measurable business outcomes — a gap that is now one of the defining strategic challenges of the current technology cycle. As Google Cloud Next 2026 showcases …